Dissertations / Theses: 'Association for Social Knowledge'

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Onojeharho, Ejovwoke. "Knowledge technologies process and cultures : improving information and knowledge sharing at the Amateur Swimming Association (ASA)." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/19707.

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Over the last few years the ASA determined KM as a priority to assist with reducing knowledge loss, realising information assets and reducing work duplication by attempting to implement IKM tools and strategies. This research employed a pragmatic viewpoint, using a mix of both quantitative and qualitative methods to check reliability, to ensure validity while undertaking the task of implementing the IKM tools. Using a case study strategy and action research was justified, as to be pragmatic the researcher needed to understand the extent of the problem within a specified context. The research discussed in this thesis, provides a new framework for implementing KM tools; focusing on the NSO category, which the case study organisation falls into. The literature agrees enlisting influential members onto the project is vital for success; however, the findings suggested that success was not only tied to this buy-in alone, but also to the organisation s ability to retain these members for the duration of the project. The research proposed the use of a newly developed tool within the new framework, as an approach to reduce the time it takes to undertake traditional social network analysis of the organisation, as it became clear that there was a need for a method of producing updated results of the SNA, which would span the length of long projects within organisations with significantly high staff turn-over rates. Privacy was given as a factor to consider the in literature; however, the findings from this study indicated that a majority of the participants were comfortable with the system. Email knowledge extraction, and email social network systems are not new concepts, however this research presents EKESNA; a novel tool that combines both concepts in a way that allows for the continuous discovery, visualisation, and analysis of knowledge networks around specified topics of interest within an organisation; linking conversations to specific expert knowledge. EKESNA s continuous discovery of the organisation s knowledge network affords members up-to-date data to inform business process reengineering. This is a potentially ground breaking new tool that has the possibility of transforming the KM landscape in NSOs as well as a whole range of other kinds of enterprises.

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Critchlow, Nathan. "An investigation into digital alcohol marketing and user-created alcohol promotion, and the association with young adult's alcohol-related knowledge, attitudes, and behaviour." Thesis, University of Stirling, 2017. http://hdl.handle.net/1893/25798.

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Context: There are two ways that digital media may influence alcohol use. The first is commercial alcohol marketing. The second is user-created alcohol promotion, defined as content distributed through new media that promotes consumption, but independent of commercial marketing. This thesis explores how both types of content promote alcohol, what association there is between exposure and alcohol-related attitudes and behaviour, and the differences between marketing and user-created promotion. Method: A mixed method design was employed, divided into two studies. The first was a content analysis of the design features, topical references, and messages suggested about alcohol in digital marketing and user-created promotion on Facebook, Twitter, and YouTube. The second was a cross-sectional survey with young adults (n = 405). This measured awareness of, and participation with, digital marketing and user-created promotion, and the association with consumption, higher-risk drinking, brand recall, expectancies, and drinking motives. Results: The content analysis found that digital marketing had personalised designs which contained subtle and positive messages about consumption, whereas user-created promotion had simpler designs, displayed little ethical practice, and contained overt messages about higher-risk drinking. The cross-sectional survey found that young adults were aware of, and participating with, both digital marketing and user-created promotion, with exposure greater for the latter. Exposure to both types of content was positively associated with alcohol use, higher-risk consumption, and drinking intentions. User-created promotion had a stronger association with all outcomes than marketing. The association between exposure and consumption, for both types of content, was mediated through drinking motives and expectancies. Conclusion: Young adults are aware of, and participating with, a range of digital marketing and user-created promotion. That such exposure is associated with alcohol-related attitudes and behaviour highlights the potential of new media to influence alcohol consumption. Further research is required to better understand young people’s experience with digital media and the challenges of addressing online health risk messages.

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Severe, Marie Sandra. "Association Between Childhood Sexual Abuse and HIV-Related Risk Factors for HIV-Positive Haitian Women." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2279.

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Childhood sexual abuse (CSA) is one of the least studied HIV-related risk factors in Haiti although research in the United States and Europe has clearly established the link between childhood trauma and HIV risk behaviors. Understanding the role and impact of CSA on HIV-positive Haitian women is likely to strengthen future HIV prevention and treatment efforts aimed at this vulnerable group. The current study was a cross-sectional examination of baseline data collected during a randomized trial of a cognitive-behavioral stress management (CBSM) intervention in Haiti. The purpose of this study was to analyze the association between CSA and sexual risk behaviors, alcohol use, and social support in a group of Haitian women, ages 17-55 (n=229), who are HIV-positive alcohol users living in Haiti. The outcomes investigated were the respondents’ level of exposure to CSA and their current HIV-related risk factors. The Theory of Gender and Power provided the theoretical framework for variable selection and associative exploration. Statistical tests included descriptive analyses, chi-square tests, analysis of variance (ANOVA), and correlations. Results showed that women who were exposed to some level of sexual abuse during childhood had less favorable attitudes towards condom use than women who reported no exposure to sexual abuse during childhood [F(2, 217) = 5.10, p = .007]. There were no differences between exposure groups for the remaining sexual risk behaviors: multiple partners, knowledge of HIV, and sexual self-efficacy. Women who were exposed to CSA also reported higher levels of alcohol use than reported by the women in the non-exposure group. Finally, there were no differences between exposure groups for social support. Group differences in attitudes towards condom use and levels of alcohol use among HIV-positive Haitian women demonstrate that HIV-positive individuals have different past and present experiences that affect their current beliefs and behaviors. Examining women at the beginning of their diagnosis for childhood trauma and providing targeted interventions for coping with that trauma presents a valuable research opportunity. The findings of the current study suggest that more research is required to understand the association between CSA and HIV-related risk factors in this subset of the HIV-positive population.

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Sofia, Estanislao. "Le problème de la définition des entités linguistiques chez Ferdinand de Saussure." Phd thesis, Paris 10, 2009. http://tel.archives-ouvertes.fr/tel-00465625/en/.

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La question qui est au cœur de cette thèse peut donc être formulée d'une manière apparemment simple, à savoir : si la langue est un système, quels sont les éléments qui la constituent ? Cette simplicité n'est pourtant qu'apparente, et dissimule, en réalité, une grande complexité. Une réponse acceptable à cette question consisterait en effet non simplement en une affirmation qui précise, par exemple, que les éléments du système Langue sont tels et tels. Elle devrait comporter, également, une explication de leur mode (ou leurs modes) d'interaction, une formulation de leurs lois, une définition de leurs propriétés intrinsèques et de leurs caractéristiques communes, bref une explicitation de tout ce qui justifie que l'on soit autorisé à parler d'« éléments » faisant partie d'un « système » (en l'occurrence, d'une langue), et d'un « système » composé de ce(s) type(s) d'« éléments ». La description d'un élément équivaut – c'est Saussure qui l'a enseigné – à une description du système auquel cet élément participe, c'est-à-dire à une détermination des (types de) rapports qui relient les éléments entre eux. De ce point de vue, la question de savoir quelles sont les entités qui composent le système Langue est une problématique qui porte de manière directe sur la notion du système « Langue », tout court, tel que Saussure le concevait. Cette thèse comporte trois parties. La première, consacrée à la notion de « système », essaye de montrer qu'il existe chez Saussure des fluctuations, et qu'il est possible de dégager au moins deux configuration nettement différentes : l'une nommée par Saussure « système d'oppositions », l'autre « système » (ou « mécanisme », ou encore « organisme ») « grammatical ». La deuxième partie, consacrée à la notion de « valeur », tente de montrer qu'il est possible de trouver, chez Saussure, au moins deux configurations différentes : l'une suivant une voie purement négative et différentielle ; l'autre, plus complexe, comportant des éléments non réductibles à des différences pures. Notre hypothèse a été que ces configurations théoriques distinctes sont issues, chez Saussure, du traitement de problématiques différentes, comportant des éléments définissables, par conséquent, de manière différente. Le pari de notre travail a été de tenter d'expliquer ces deux configurations en prenant pour base la notion d'« entité », dont la définition, disait Saussure, est « la première tâche » de la linguistique.

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Antochio, Marcela. "Gestão do conhecimento: uma proposta de modelo para associações empresariais." Universidade Federal de São Carlos, 2014. https://repositorio.ufscar.br/handle/ufscar/1126.

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Made available in DSpace on 2016-06-02T19:16:39Z (GMT). No. of bitstreams: 1 5824.pdf: 4342046 bytes, checksum: 01c5bb0dd5348e19859b6a4c827a65be (MD5) Previous issue date: 2014-02-25
In an environment where competitive advantage and taking appropriate decisions are essential to business success, the use of mechanisms that facilitate the storage and retrieval of informational sources and knowledge management can become an ally in the "race" by the market. In this scenario also, are micro and small enterprises, competing directly with companies of medium to large, national and international. How micro and small enterprises can reach levels of excellence and quality in their products and services when encountered a macroeconomic scenario so diverse? This research, using as a basis the state of the art in Knowledge Management, intends to structure a model of knowledge management that provides the generation and exchange of knowledge capable of external aid in the decision-making mechanism. For this exploratory research, a survey of secondary sources and primary data was performed. The proposed model aims to demonstrate the processes of knowledge generation, filtering, disclose, store and retrieve such knowledge, based on the characteristics and needs related to business associations and companies that integrate and propose mechanisms for analysis of the use in order to provide tools to classify the levels of improvement in organizational learning and performance together in the organization, is also defined the role of the participating members of the Association for each step, demonstrating the importance of the human factor for an effective Knowledge Management. , Filtering, DSI for businesses; Storage; Use, Decision Making, Organizational Performance and Professional Knowledge Generation of Knowledge: As a final result a model of knowledge management consists of 8 steps was obtained.
Em um ambiente onde a vantagem competitiva e tomada de decisões adequadas são imprescindíveis para o sucesso empresarial, a utilização de mecanismos que facilitem o armazenamento e recuperação de fontes informacionais e a Gestão do Conhecimento organizacional podem se tornar um aliado na corrida pelo mercado. Neste cenário encontram-se também as Micro e Pequenas empresas (MPEs), competindo diretamente com empresas de Médio a Grande Porte, nacionais e internacionais. Como MPEs podem atingir níveis de excelência e qualidade em seus produtos e serviços quando deparadas a um cenário macroeconômico tão diverso? A presente pesquisa, utilizando como base o estado-da-arte em Gestão do Conhecimento, pretende estruturar um modelo de Gestão do Conhecimento que proporcione a geração e troca de conhecimentos externos capazes de auxiliar no mecanismo de tomada de decisões. Para tal foi realizada uma pesquisa exploratória, com levantamento em fontes de informação secundárias e primárias. O modelo aqui proposto pretende demonstrar os processos de geração do conhecimento, como filtrar, divulgar, armazenar e recuperar tais conhecimentos, tendo como base as características e necessidades relacionadas às Associações Empresariais e as empresas que a integram, e propor mecanismos de análise da utilização afim de proporcionar ferramentas para classificar os níveis de melhoria na aprendizagem organizacional e conjuntamente no desempenho da organização, também é definido o papel dos membros participantes da Associação para cada etapa, demonstrando a importância do fator humano para uma efetiva Gestão do Conhecimento. Como resultado final foi obtido um modelo de Gestão do conhecimento composto por 8 etapas: Geração do Conhecimento; Filtragem; DSI para empresas; Armazenagem; Utilização; Tomada de Decisões; Desempenho Organizacional e Profissionais do Conhecimento.

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Bansal, Jacqueline A. "Quality of life issues in motor neurone disease." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36747/1/36747_Digitised%20Thesis.pdf.

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Motor Neurone Disease (MND) is caused by the degeneration and death of motor neurones. It is universally fatal and causes wasting and weakness of the somatic musculature. The disease usually affects those aged between 40 and 70, with 50% of people with MND dying within 3 years and 90 percent within 6 years. Only 10 percent survive 10 years or more While the incidence of MND is much lower than that of Multiple Sclerosis, twice as many people die of MND as die from Multiple Sclerosis and Muscular Dystrophy combined. Once diagnosis is confirmed it appears that the health care service has little to offer in the way of care or a cure. The majority of people with MND are cared for in their home by family members which places enormous stress on both the individual and other family members. The purpose of this study is to examine the factors which influence quality of life (QOL) in people with MND. This remains sadly under-investigated with only one significant report in the last three decades. The present study utilised a self-rated questionnaire, sent to individuals with neurologically confirmed MND, volunteering their participation via requests for help published in the MND Association newsletters throughout Australia. The questionnaire comprised standard measures which allowed the assessment of general well being (Rand 36-item Health Survey), depression (Beck Depression Inventory), coping strategies (Jalowiec Coping Scale), levels of hope (Herth Hope Scale), social support network (Norbeck Social Support Scale). Additional questions were constructed to assess illness-related knowledge, use of alternative therapies, the importance of spirituality and satisfaction with the way the diagnosis was delivered. Demographically the individuals involved with the study differed little from other reports on MND. Psychologically, low mood was evident in over three quarters of the subjects. However, only 10 percent could be described as depressed. Coping strategies most frequently used was a problem solving approach and a dependency mechanism least frequently. Fifty three of the 74 in the study group held favourable levels of hope. For such a terrible diagnosis it was most disturbing that 45 percent of those with MND thought that the information made available at diagnosis was inadequate. Of even greater concern was the fact that three quarters said that the diagnosis was disclosed in a brutal manner, with 61 % saying the manner was officious and factual. Many individuals with MND had a poor knowledge about the disease with 40 percent believing that MND was a disorder of the muscles and one third did not know the median survival in this condition. Twenty three of the 74 admitted to using at least one alternative therapy at some stage. Expectedly, MND had a significant adverse effect on the life style, financial situation, social life, physical disability , psychological state and overall quality of life of many involved in the study. Only family relationships appeared to show little change following the diagnosis of MND. Despite great strains on marital harmony spouses remained the main carers in over half of the individuals with MND. People with MND suffer greatly from the moment that the diagnosis is communicated through the depression of relentless muscle weakness and finally death from aspiration or respiratory failure. This study has highlighted that in general the care available to those suffering from MND is rather a hit or miss affair. Several measures to meet the specific needs of those diagnosed with MND are discussed. Most important of all is the need to better anticipate the rapidly changing needs of such individuals and for the medical and nursing professionals to be aware of the great harm they cause by removing all hope by well meaning frankness and the good they can do by offering support at all stages of the disease.

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Bawden, David. "Teaching knowledge organization: educator, employer and professional association perspectives." Thesis, City University London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492218.

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Coursey, Kino High. "The Value of Everything: Ranking and Association with Encyclopedic Knowledge." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12108/.

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This dissertation describes WikiRank, an unsupervised method of assigning relative values to elements of a broad coverage encyclopedic information source in order to identify those entries that may be relevant to a given piece of text. The valuation given to an entry is based not on textual similarity but instead on the links that associate entries, and an estimation of the expected frequency of visitation that would be given to each entry based on those associations in context. This estimation of relative frequency of visitation is embodied in modifications to the random walk interpretation of the PageRank algorithm. WikiRank is an effective algorithm to support natural language processing applications. It is shown to exceed the performance of previous machine learning algorithms for the task of automatic topic identification, providing results comparable to that of human annotators. Second, WikiRank is found useful for the task of recognizing text-based paraphrases on a semantic level, by comparing the distribution of attention generated by two pieces of text using the encyclopedic resource as a common reference. Finally, WikiRank is shown to have the ability to use its base of encyclopedic knowledge to recognize terms from different ontologies as describing the same thing, and thus allowing for the automatic generation of mapping links between ontologies. The conclusion of this thesis is that the "knowledge access heuristic" is valuable and that a ranking process based on a large encyclopedic resource can form the basis for an extendable general purpose mechanism capable of identifying relevant concepts by association, which in turn can be effectively utilized for enumeration and comparison at a semantic level.

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Coursey, Kino High Mihalcea Rada F. "The value of everything ranking and association with encyclopedic knowledge /." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/ark:/67531/metadc12108.

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Yang, Wanzhong. "Granule-based knowledge representation for intra and inter transaction association mining." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/30398/1/Wanzhong_Yang_Thesis.pdf.

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Abstract With the phenomenal growth of electronic data and information, there are many demands for the development of efficient and effective systems (tools) to perform the issue of data mining tasks on multidimensional databases. Association rules describe associations between items in the same transactions (intra) or in different transactions (inter). Association mining attempts to find interesting or useful association rules in databases: this is the crucial issue for the application of data mining in the real world. Association mining can be used in many application areas, such as the discovery of associations between customers’ locations and shopping behaviours in market basket analysis. Association mining includes two phases. The first phase, called pattern mining, is the discovery of frequent patterns. The second phase, called rule generation, is the discovery of interesting and useful association rules in the discovered patterns. The first phase, however, often takes a long time to find all frequent patterns; these also include much noise. The second phase is also a time consuming activity that can generate many redundant rules. To improve the quality of association mining in databases, this thesis provides an alternative technique, granule-based association mining, for knowledge discovery in databases, where a granule refers to a predicate that describes common features of a group of transactions. The new technique first transfers transaction databases into basic decision tables, then uses multi-tier structures to integrate pattern mining and rule generation in one phase for both intra and inter transaction association rule mining. To evaluate the proposed new technique, this research defines the concept of meaningless rules by considering the co-relations between data-dimensions for intratransaction-association rule mining. It also uses precision to evaluate the effectiveness of intertransaction association rules. The experimental results show that the proposed technique is promising.

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Yang, Wanzhong. "Granule-based knowledge representation for intra and inter transaction association mining." Queensland University of Technology, 2009. http://eprints.qut.edu.au/30398/.

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Abstract With the phenomenal growth of electronic data and information, there are many demands for the development of efficient and effective systems (tools) to perform the issue of data mining tasks on multidimensional databases. Association rules describe associations between items in the same transactions (intra) or in different transactions (inter). Association mining attempts to find interesting or useful association rules in databases: this is the crucial issue for the application of data mining in the real world. Association mining can be used in many application areas, such as the discovery of associations between customers’ locations and shopping behaviours in market basket analysis. Association mining includes two phases. The first phase, called pattern mining, is the discovery of frequent patterns. The second phase, called rule generation, is the discovery of interesting and useful association rules in the discovered patterns. The first phase, however, often takes a long time to find all frequent patterns; these also include much noise. The second phase is also a time consuming activity that can generate many redundant rules. To improve the quality of association mining in databases, this thesis provides an alternative technique, granule-based association mining, for knowledge discovery in databases, where a granule refers to a predicate that describes common features of a group of transactions. The new technique first transfers transaction databases into basic decision tables, then uses multi-tier structures to integrate pattern mining and rule generation in one phase for both intra and inter transaction association rule mining. To evaluate the proposed new technique, this research defines the concept of meaningless rules by considering the co-relations between data-dimensions for intratransaction-association rule mining. It also uses precision to evaluate the effectiveness of intertransaction association rules. The experimental results show that the proposed technique is promising.

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Storman, Anders, and Elin Storman. "Inter-organizational knowledge management : A case study in a Swedish economic association." Thesis, Högskolan Dalarna, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:du-30405.

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Purpose The purpose of this case study is to understand how inter-organizational knowledge management is conducted in an economic association by analysing how different actor representatives perceive the inter-organizational collaboration. Design/methodology/approach The method of this study is qualitative, with a single case study of an economic association in Dalarna, Sweden. The interviews were of semi-structured character. A total of nine respondents were interviewed; four respondents from private member organizations, three respondents from public member organizations and two respondents employed by the economic association. Findings and conclusion Six themes were found that together answers the purpose of this study. These themes are personalization, codification, collaboration, conditions, capabilities and challenges. The personalization strategy from the knowledge management framework by Hansen et al (1999) is suggested to be the main strategy in the case of the economic association, while the codification strategy is the supporting strategy working in relation to each other. In order to use those strategies in this interorganizational context, four other themes are added in a model created by the authors of this study. The four additional themes need to be taken in consideration and as the theme capabilities points out; the inter-organizational collaboration gives not only challenges, but also opportunities for the participating organizations. Furthermore, the conditions and the reasons for collaborating can be used for improving the structure of an inter-organizational collaboration. Practical Information A Swedish economic association can be described as a legal entity which involves a minimum of three partners, with a common interest and where all members of the economic association are required to participate in the activities of the economic association. Originality/Value This study contributes to the field of inter-organizational knowledge management by providing insight from a Swedish economic association perspective. There is an apparent gap pointed out between theory driven and practical driven research, where this single case study aims to contribute to the practical field of applying inter-organizational knowledge management perspective into a real case scenario. The case is particularly interesting to study since there are 33 organizations involved in knowledge management, with knowledge bases of both private and public sectors, small- and middlesized organizations and from different branches.

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Majumdar, Jeeon Kumar. "Social Knowledge and Globalization." Thesis, Prescott College, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1539490.

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An individual narrative relating subjective experience with communal social norms and practices is the modern way of understanding identity. Modern science also bridges the gap between a subjective experience and theoretical knowledge. In translating from the micro-social level of direct experience to the macro-social or collective experience, the particular and the subjective tend to be drowned out by conceptual totalities. Consumer capitalism however, at its extreme virtual limits, makes subjective experience central, and pushes metaphysical idealism back. The artist's knowledge, acquired through the juxtaposition of the human self at its most intimate level with the general or objective order of materials, also erodes a modern metaphysics. Language in psychoanalysis allows us to engage in self-identification and discover the subject within the spoken or written word by uncovering traces of an illicit desire that is repressed in metaphysics and rationalism. Psychoanalysis provides insight into how the decoded social space of capitalist production can be reconfigured as a meaningful space of subjective desire. Today's ubiquitous digital discourse, coupled with the universality of a machine time in the increasingly mechanized market, gives us globalization. A form of consciousness defined by the operations of the market recognizes the interwoven functions of humans and technologies/materials in a wide and complex production—including economic and social/cultural aspects. Outside of the dialectical structure of modern knowledge, social identity can only be a temporary coalescence of a subject that is staked upon a set of events of a specific and foundational significance. As a modern polarity of identity and negation is closed with globalization, social identity becomes situated with respect to a global information economy that increasingly reflects, not commodity objects and alienated subjects, but difference as such: capitalist production is nothing but the unbreakable rhythm that rearticulates a homogeneous Globality with each of its cycles. Under these conditions, otherness is an intelligible difference, rather than a repressed periphery of the ego ideal. As difference or alterity beyond the identity of subject and object, the Other is the counterpart of the void that is subjectivity itself. In the knowledge economy primarily constituted as the production of difference, subjectivity and otherness are modalities of a more thorough ecological integration with the environment.

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Tse, Lai-man Jane. "Children's development of conceptual knowledge structures." Click to view the E-thesis via HKUTO, 1997. http://sunzi.lib.hku.hk/hkuto/record/B36209533.

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Thesis (B.Sc)--University of Hong Kong, 1997.
"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 1997." Also available in print.

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De, Brasi Leandro. "Knowledge from a social perspective." Thesis, King's College London (University of London), 2012. https://kclpure.kcl.ac.uk/portal/en/theses/knowledge-from-a-social-perspective(69abd6f0-2618-4f84-a676-adc297322278).html.

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The main thesis of this work is that to know is to grasp the truth by means of certain truth-conducive procedures which are socially-designed for the pooling of information and which we acquire through enculturation. The category of knowledge is the product of our social nature and its constitutive norms are regulative rules of our pervasive testimonial practice which are responsibly developed through time by the epistemic community for the promotion of truth. The account of knowledge derived from these inherently social norms is reliabilist, responsibilist and social. The particular combination of reliabilism and responsibilism fostered by the socio-historical nature of the norms resolves various standard issues within the theory of knowledge. The account also provides an epistemology that is truly social. -- After the first preliminary chapter sets up the project to be undertaken and method to be employed, the second chapter introduces a practical explication of the concept of knowledge which rests on the testimonial practice and from which a plausible hypothesis about the nature of knowledge is derived. Given this explication and hypothesis, we consider the nature of this practice in some detail. The next three chapters explore some refinements and consequences of the account promoted by those considerations. The third chapter notes that a fallibilist approach to knowledge that allows us to halt both infallibilism-based and closure-based scepticisms is motivated, as well as a classical invariantist approach. The fourth chapter exploits the aforesaid responsibilism to handle some worries associated with reliabilism. It also considers more general issues, such as the Gettier and value problems. The final chapter closes by adverting to the kind of wide-ranging social epistemology offered.

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Weinreich, Heidi Marie. "Burnout among National Association of Social Workers Healthcare Social Workers." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/611.

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Burnout is a common occurrence for many healthcare social workers, though little academic literature addresses the impacts of the organizational environment on burnout among healthcare social workers. The purpose of this correlational study was to evaluate what organizational factors predict burnout in the healthcare environment while considering sociodemographic and organizational factors. An adaptation of Maslach's multidimensional theory of burnout served as the framework for this study. Surveys were distributed to members of the National Association of Social Workers who are employed in healthcare environments, resulting in a sample size of 237 useable responses. A multiple linear regression statistical analysis indicated that workload, reward, values, and level of care predicted emotional exhaustion, and therefore the potential for burnout (p < .001). Findings were consistent with the theoretical framework employed. Policy implications include the need for healthcare environments to develop standard operating procedures to address organizational barriers for social workers that contribute to social workers burnout. Implications for social change include an identified need to address burnout through healthcare organizations, professional associations, and academia using education, intervention, and policy.

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Kay, Elora Marie. "Social Facilitation in National Basketball Association Teams." Thesis, University of Canterbury. Psychology, 2015. http://hdl.handle.net/10092/10193.

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Although social facilitation has been extensively studied over the last 50 years in various domains, it has largely been understudied in the context of team sports. A total of 8950 National Basketball Association (NBA) games were investigated to assess how a team’s skill level and experience interact with audience size to predict performance. More specifically, audience size was measured in two ways: as the number of people in attendance at each game and whether the game was locally televised (fewer television viewers) or nationally televised (more television viewers). Contrary to expectations, underdog teams performed significantly better with larger audiences, an effect not found for their favoured counterparts. Also contrary to expectations, teams less experienced than their opponents performed significantly better in nationally televised games than in locally televised games. This effect was not found for more experienced teams. Additionally, no teams experienced a decrease in performance. These results add important findings to the information regarding sports and social facilitation and provide insight into team selection for high stakes games. They also enhance the sporting literature base which is considerably lacking in its assessment of social facilitation effects.

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Bettaney, Elaine. "Analysis of association-derived animal social networks." Thesis, University of Bath, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.629664.

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The social structure of animal societies can be instrumental to the evolution and maintenance of animal behaviour. Animal social networks (ASNs) provide a framework with which to visualise, quantify and analyse animals' social structure. The work in this thesis incorporates two areas of ASN research. The first area is the analysis of sparse group-derived data. Observation of group memberships is a widely used method to uncover social preferences. Here this method is used to probe the social structure of a population of Trinidadian guppies (Poecilia reticulata). The network is analysed to ascertain if genetic relatedness may play a role in governing social structure. The bright colourings of male fish are also analysed to see if colour influences male-male associations. The guppy study provided motivation for an investigation into association indices for group-derived data. Existing indices are evaluated using a simulated dataset and a new index is proposed. The second part of this thesis contributes to a new and exciting trend in ASNs in which complete records of animal associations are obtained enabling temporal network analysis to be used. This is applied to a population of New Caledonian crows (Corvus moneduloides) which are of interest particularly for their ability to manufacture and use tools for foraging. Emulations of information flow through the network are used to assess the network's information flow potential. A network structure in which information can spread rapidly could indicate that crows can potentially learn tool use skills from their peers.

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Cross, Simon J. "Geographies of Owenite Socialism in Britain, 1830-1840 : public lecturing, the social institution and the production of associational knowledges." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444077.

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Renata, Alayna M. "Seeking cultural polyvocality in landscape policy: Exploring association and knowledge sharing preferences." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122988/1/Alana_Renata_Thesis.pdf.

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Indigenous groups around the world have an inherent physical and spiritual connection with landscape, however little knowledge exists on the intricacies of these relationships and the preferences around sharing this knowledge. This research explores such connections in regards to Indigenous Māori iwi, Kāi Tahu, who affiliate closely with the landscapes of the South Island of Aotearoa New Zealand and many other landscapes throughout the Pacific. By learning of these relationships and preferences, the research considers the alignment of these values with local government legislation. Thus, it gives consideration to the extent of 'voice' that these groups do or do not have in policy.

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Leblanc, Herve. "Knowledge mapping and process modelling to develop a sustainability-related knowledge management strategy for Scottish Housing Association planned works." Thesis, Glasgow Caledonian University, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.554313.

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In the United Kingdom (UK) the social housing sector is mainly managed by Local authorities (LAs) and Housing Associations (HAs), and is at the forefront of the development of sustainable practices. In Scotland, the growing number and financial capacity of HAs places this sub-sector in a privileged position to develop sustainable practices. Furthermore, aging housing stock and limited budgets for new housing or large refurbishment projects places maintenance (and more precisely, planned works defined by the cyclical replacement of internal and external housing components) at the centre of efforts. Although evidence suggests that amongst HA practitioners, awareness of the concept of sustainability is growing, changes in practice remain relatively slow. This research argues that despite governmental initiatives and existing sustainable guidelines and frameworks, insufficient emphasis has been placed on the management of sustainability-related I knowledge held by practitioners. This thesis therefore aims to investigate the nature (explicit, implicit and tacit) and flow of HA planned work sustainability-related knowledge in order to develop a sustainability-related KM strategy improving the exchange, storage and retrieval of knowledge. The research adopts an interpretivist approach to investigate the socially constructed nature of knowledge based on four case studies with different HAs. Prior to the case studies, social housing experts were interviewed to develop an understanding of sustainability awareness amongst HA practitioners. In addition, a Planned Work Process Model (pWPM) was developed through interviews and a survey with HA practitioners to serve as a structure for knowledge mapping exercises across the case studies. The PWPM was contextualised for each of the four case studies and knowledge maps (Kmaps) were used to explore the nature and flow of knowledge around each of the activities. The comparison of the PWPM and the four contextualised case study versions provided the basis for a Generic PWPM (GPWPM) for HA planned works comprised of 6 phases and 30 activities classified as mainstream, occasional and recurrent. From the analysis and comparison of the Kmaps recommendations were developed for the generic HA level and for every GPWPM phase/activity and these formed a sustainability-related KM strategy. In terms of sustainability agenda, the research confirmed the position of planned works as central to future strategy for Scottish HA' s mainly because of the economic downturn limiting new build and large refurbishment projects and the growing governmental pressure for sustainability. The research proposes the integration of KM principles into practitioners' daily activities through practical recommendations considering all sustainability dimensions. The developed GPWPM provides HA practitioners with a process model specific to planned work and a level of detail that is not currently available in the literature. Finally, the knowledge mapping technique developed in this thesis is inspired by existing approaches but builds upon this through a relatively novel practical and systematic way of capturing sustainability-related knowledge from practice.

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McCarthy, Gerard John. "Knowledge management within a multinational knowledge led company." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/603/.

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The semiconductor industry relies on knowledge sharing and collaboration between its employees and amongst subsidiary companies to remain competitive in an ever changing, market driven environment. Practise has changed from workers supplying labour to workers supplying knowledge. Technology improvements and investment in automation have provided companies the platform to generate, codify, harness and exploit knowledge as a means of improving organisational performance. This research explores knowledge dynamics in the organisation and specifically looks at knowledge sharing within a subsidiary and among subsidiaries in a multinational corporation. The corporation in question operates its manufacturing facilities as competing business units. The purpose of the research was to establish if this method of organising business units provides the overall corporation with a competitive advantage, or if competing business units inhibits performance preventing or restricting the potential for a competitive advantage for the corporation. To determine how knowledge is shared within the organisation a series of semi-structured interviews were conducted. Senior managers and professional staff across a number of disciplines were interviewed. Knowledge sharing within functional area departments, collaboration between functional area departments, knowledge systems and compliance to knowledge systems were used as determinants to establish the extent of the knowledge dynamic in the subsidiary. The relationship between knowledge sharing and how it impacted the “bottom line” performance of the subsidiary was also considered in an attempt to quantify the impact knowledge sharing has on performance. To determine how knowledge is shared between subsidiaries, two case studies were conducted. The first case study involved a benchmarking visit to allow two of the corporation’s subsidiaries to compare best practice cost systems with multi-disciplines involved. The second case study involved a cross functional team of technical staff to define a manufacturing facility technical yield roadmap. Significant cost, productivity and yield improvement at the site was attributed to the success of collaborative units established at site. Establishing collaborative units was a precursor to setting up a network within the site to promote knowledge sharing in the organisation. The site was cognisant of the impact of effective knowledge sharing and receptive to sharing knowledge on an informal or formal basis. The site put great stock in codified knowledge and invested heavily in automating knowledge based systems. Many barriers to knowledge sharing were identified including compliance to codified procedures, departmental conflicts, viewing knowledge sharing as a burden, variation across automated systems, conflicts caused by the internet as a knowledge source and logistics due to geographical dispersion. Knowledge-led teams overcame many of these barriers. Success bred success to the extent knowledge sharing has become a business process in the organisation. Knowledge sharing is a two way process. It can be a vehicle for trust, respect and improvement. This research has shown knowledge sharing even within competing business units can produce a competitive advantage. An organisation is an accumulation of knowledge. A knowledge-led collaborative approach provides many benefits: it will advance the company, engage staff at all levels and favourably impact the “bottom line”. Knowledge management differentiated the local site from other corporate subsidiaries with the local site demonstrating “best in class” results on its key performance indicators. Encouragingly, there is ample opportunity to improve performance further once knowledge management is fully embedded as a business process across the organisation.

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Hale, Christopher R. "Effects of background knowledge on associative learning in causal domains." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/30252.

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Koukol, Barbara A. "An analysis of state restaurant association member's knowledge about "gleaning" in food recovery." Online version, 2000. http://www.uwstout.edu/lib/thesis/2000/2000koukolb.pdf.

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Kwong, Har Man. "The knowledge construction of social work." Thesis, Lancaster University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.656304.

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The ever-expanding boundary of knowledge for social work practice confronts social work practitioners with a great variety of theories and approaches which are incommensurable with each other and esoteric that renders the relationship between social work knowledge and practice problematic. To resolve this epistemological issue, proponents of the 'scientific designer-practitioner model' advocate production of scientifically proven intervention approaches for social workers' application to practice. However, the adherents of 'heuristic perspective on social work' pinpoint that the actual social work practice situations are too complex and indefinite to be. covered by codified knowledge; instead, they maintain that social workers should think like a researcher to produce and use their own practice theory/wisdom (knowledge construction) through generating and testing hypotheses in the course of intervention. Through the 'practice perspective on social work', I criticize them of misplacing emphasis on practitioners' cognitive process as to knowledge construction within intervention and suggest to investigate the infrastructure of knowledge co-construction by both social workers and service users within intervention conversation. Through the lens of conversation analysis, six transcribed interviews between social workers and their service users have been closely examined. The core epistemic activities (episactivities), some elementary conversational actions (episgears) of knowledge co-construction and some of the strategies (epistechniques) employed by social workers to handle hurdles (episbottlenecks) arising in the process of knowledge co-construction are identified. These findings imply a new set of basic conversational skills for social work which may contribute to the resolution of the epistemological issue of social work. I term them 'epistemically informed intervention'.

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Matthews, P. "Social epistemology and online knowledge exchange." Thesis, University of the West of England, Bristol, 2015. http://eprints.uwe.ac.uk/25677/.

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This document summarises the submitted research which has investigated online knowledge exchange and related it to the philosophical field of social epistemology. The broad aims have been: firstly to investigate what social epistemology theory can offer in the way of guidance and evaluative frameworks for the design of knowledge systems; and secondly, to determine what the empirical study of knowledge exchange platforms can tell us about epistemology as emerging from online practice. The submitted work consists of six papers that are a mixture of review/position papers and reports of empirical investigation. These have been published in information science journals and conference proceedings. However, following the established tradition of information science, the work is positioned as being cross disciplinary in ambition. After introducing the submitted papers and the inspiration for the research, the main theoretical positions of the research are outlined and justified. These were a naturalised social epistemological position, inspired by Alvin Goldman, but widened to a situated and systems-oriented view. The naturalised view of epistemology allows for consideration of evidence from psychology, and here some key theories in social and cognitive psychology are outlined. Finally, as the subject is human-computer-human interaction, the sociotechnical setting is established. Further, the main platforms of study in the empirical work — social question answering systems — are introduced and described. The main methodology and research approaches followed are presented next. A mixed methods philosophy was deemed suitable for this area of research and — alongside the review work — the broad web science method of combining network and data investigation with qualitative methods is justified. Review work included early collaborations with an information scientist and a philosopher which helped to bring together and clarify epistemological and sociotechnical themes. The discussion section presents some of the main themes and conclusions of the submitted work, including: 1) The identification of knowledge patterns and practices online; 2) Criteria for online knowledge exchange distilled from the social epistemology literature; 3) Some triangulations where theory from philosophy and psychology seemed to corroborate and serve to explain online behaviour; 4) Socio-temporal aspects to online knowledge exchange that are perhaps under developed in philosophy but apparent in practice; 5) Credibility cues and bias, seen as crucial to a rounded study of user interaction with online sources; and finally 6) Interventions suggested by the research which would aim to raise the quality and effectiveness of social media knowledge systems. Finally, conclusions and suggestions for further work are presented. These follow on from the submitted strands of research and present possibilities for how the work may be extended and improved upon. In common with the research, these combine philosophy, modelling, interaction design and qualitative methods. Such a combination is seen as essential to developing an enhanced understanding of how the web serves and could serve as a platform for human knowledge.

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Granados, Ortiz Maria Luisa. "Knowledge management capabilities in social enterprises." Thesis, University of Westminster, 2014. https://westminsterresearch.westminster.ac.uk/item/8yqqx/knowledge-management-capabilities-in-social-enterprises.

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Many studies have researched how organisations can benefit from Knowledge Management (KM). Critical factors, models and frameworks for successful implementations of KM have informed practitioners in different industries and countries. However, there is still a need for exploring other dimensions of KM as well as its application in different contexts. Further empirical evidence and operationalisation, which assure successful implementations, is also needed to improve not only companies but also society in general. Building on that observation, this study presents conceptual and empirical evidence to support the view that KM, understood as an organisational capability, improves organisational performance of the under-researched and increasingly important Social Enterprises (SEs). These, normally micro and small organisations, are gaining worldwide attention and importance as they address, following business principles, crucial social and environmental problems and provide more sustainable solutions. Nevertheless, there is still a lack of empirical evidence of how these organisations operate, perform and scale up. The study supports this view by developing and empirically testing a model named Knowledge Management Capabilities in Social Enterprises (KMC-SE), which is the main contribution to knowledge of this study. The model describes the organisational pre-conditions and the knowledge activities that can develop Knowledge Management Capabilities (KMCs), which then have an impact on SEs’ performance. A sequential, explanatory, mixed methods’ research design was followed to test the model with empirical evidence from 432 SEs in the UK. The evidence suggests that current KMCs account for up to 20% of overall improvements in SEs’ performance, based on a year-to-year comparison. Moreover, the KMC-SE Model proposes new insights in the traditional way of approaching KM and KMC development, highlighting (a) the important role of human and cultural factors, giving less emphasis to extrinsic motivations and technology, (b) the importance of studying informal KM practices, and (c) the essential inclusion of external dimensions into the equation. Because of the limited research in organisational characteristics of SEs, and more specifically, their KM practices, the KMC-SE Model may have omitted other important elements that were particular to these organisations in their development of KMCs, as well as their performance measures. Therefore, the obtained KMC-SE Model needs to be considered as only a starting point in the study of KM in SEs.

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Johnson, Mirta Escobedo. "Social workers' knowledge of substance abuse." CSUSB ScholarWorks, 2007. https://scholarworks.lib.csusb.edu/etd-project/3205.

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This study was designed to determine how knowledgeable child welfare social workers are of substance abuse when working with substance abusing clients. The results indicated that social workers within San Bernardino County have competent levels of knowledge in substance abuse which allow them to provide appropriate services to the community members they serve.

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Asprino, Luigi <1988&gt. "Engineering Background Knowledge for Social Robots." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/9020/1/asprino_luigi_tesi.pdf.

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Social robots are embodied agents that continuously perform knowledge-intensive tasks involving several kinds of information coming from different heterogeneous sources. Providing a framework for engineering robots' knowledge raises several problems like identifying sources of information and modeling solutions suitable for robots' activities, integrating knowledge coming from different sources, evolving this knowledge with information learned during robots' activities, grounding perceptions on robots' knowledge, assessing robots' knowledge with respect humans' one and so on. In this thesis we investigated feasibility and benefits of engineering background knowledge of Social Robots with a framework based on Semantic Web technologies and Linked Data. This research has been supported and guided by a case study that provided a proof of concept through a prototype tested in a real socially assistive context.

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Chen, Xiaodong. "Temporal data mining : algorithms, language and system for temporal association rules." Thesis, Manchester Metropolitan University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297977.

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Studies on data mining are being pursued in many different research areas, such as Machine Learning, Statistics, and Databases. The work presented in this thesis is based on the database perspective of data mining. The main focuses are on the temporal aspects of data mining problems, especially association rule discovery, and issues on the integration of data mining and database systems. Firstly, a theoretical framework for temporal data mining is proposed in this thesis. Within this framework, not only potential patterns but also temporal features associated with the patterns are expected to be discovered. Calendar time expressions are suggested to represent temporal features and the minimum frequency of patterns is introduced as a new threshold in the model of temporal data mining. The framework also emphasises the necessary components to support temporal data mining tasks. As a specialisation of the proposed framework, the problem of mining temporal association rules is investigated. The methodology adopted in this thesis is eventually discovering potential temporal rules by alternatively using special search techniques for various restricted problems in an interactive and iterative process. Three forms of interesting mining tasks for temporal association rules with certain constraints are identified. These tasks are the discovery of valid time periods of association rules, the discovery of periodicities of association rules, and the discovery of association rules with temporal features. The search techniques and algorithms for those individual tasks are developed and presented in this thesis. Finally, an integrated query and mining system (IQMS) is presented in this thesis, covering the description of an interactive query and mining interface (IQMI) supplied by the IQMS system, the presentation of an SQL-like temporal mining language (TML) with the ability to express various data mining tasks for temporal association rules, and the suggestion of an IQMI-based interactive data mining process. The implementation of this system demonstrates an alternative approach for the integration of the DBMS and data mining functions.

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Chen, Tingting. "Exploring depth of vocabulary knowledge among CFL learners of higher proficiency levels." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/3057.

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L2 (second or foreign language) research indicates that vocabulary knowledge is not only the “single best predictor of text comprehension,” but also a strong indicator of listening, speaking, and writing proficiency (Alderson, 2000, p. 35). Understanding the development of vocabulary knowledge, including both vocabulary size and vocabulary depth, or quality of vocabulary knowledge—is therefore essential to the building of an overall insight into L2 proficiency. This study aims to explore the developmental status of vocabulary depth among postsecondary CFL (Chinese as a foreign language) learners of higher proficiency levels who have studied Chinese for over four years. In particular, it focuses on these learners' identification of two types of word association—synonym and collocational associations and how factors such as association type and target-word frequency impact association identification. The process and strategy use that are involved in the inference of word association are also explored. For these purposes, this study employs a combination of quantitative and qualitative research methods. Cross-sectional data were collected through a paper-and-pencil test of Chinese word associates from seventeen learners within five postsecondary CFL programs in the U.S. Each participant worked on two test booklets assessing synonym and collocational associates respectively for the same 44 adjectives selected from the three word frequency levels of below 1000, between 1000 and 5000, and above 5000. A two-factor within-subjects ANOVA revealed both significant main effects for association type and word frequency on association identification and a significant interaction between the two. Simple effect analysis and pair-wise comparisons further revealed that association identification became increasingly stronger with the increase of word frequency for collocational association, yet remained non-impacted by frequency before reaching the mid- to high-frequency transition for synonym association. Meanwhile, CFL learners' collocational knowledge was significantly higher than synonym knowledge at mainly the medium- and high-frequency levels. These reslts indicate that synonym knowledge seemed to lag behind in development as familiarity with words increased, but began to catch up at higher-frequency levels. Interview data collected from six CFL learners show that they employed a wide variety of knowledge sources, such as radical knowledge, morphological knowledge, contextual clues, sound information, or L1 in inferring word association. Inference success seemed to be influenced not only by their preexisting word knowledge, but also an integrated and flexible use of linguistic and contextual information in the inference process. Implications of these findings are discussed in relevance to curriculum and pedagogical development of CFL teaching and the understanding and definition of CFL proficiency in general. This study fills a gap in CFL vocabulary research by building a tentative measure of vocabulary depth and bringing greater insights into the developmental status of higher-level CFL learners in synonym and collocational association as well as the process that is involved in inference of word association.

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Mushonga, Cleopatra Tsungai. "Social networking for knowledge management : group features as personal knowledge management tools." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86315.

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Thesis (MPhil)--Stellenbosch University, 2014.
ENGLISH ABSTRACT: With the emergence of Web 2.0 (social network platforms) some Knowledge Management theorists saw the potential for incorporating its collaborative and networking features in Knowledge Management Systems. However, the consensus is that harnessing Web 2.0 features for Knowledge Management is still in its infancy and according to some it seems that Web 2.0 success in the social sphere is hard to translate to the work context. The thesis argues that Web 2.0 primarily facilitates Personal Knowledge Management (PKM) and in this way indirectly contributes to Organisational Knowledge Management. Furthermore not all Web 2.0 features are equally useful in facilitating Personal Knowledge Management. The thesis identifies the group features of social network platforms as the prime locations for networking and learning. The thesis is theoretically based on Cheong and Tsui's PKM 2.0 model, in particular the Interpersonal Knowledge Transferring phase that in turn is based on Nonaka's SECI model of knowledge conversion. The thesis starts out with considering the distinction and relationship between Organisational Knowledge Management (OKM) and Personal Knowledge Management (PKM). Thereafter Cheong and Tsui's PKM 2.0 model is described as well as Nonaka's SECI model. The Web 2.0 phenomenon is introduced through a literature review of various studies on the usefulness of social network platforms and the group features are specifically highlighted. A survey is conducted among users of a particular Web 2.0 group feature, based on questions developed from the SECI and PKM 2.0 models. The thesis comes to the conclusion that the group features of Web 2.0 social network platforms are useful for Knowledge Management, because it is indeed a component of users' Personal Knowledge Management.
AFRIKAANSE OPSOMMING: Sekere Kennisbestuursteoretici het met die opkoms van Web 2.0 (sosiale netwerk-platforms) die moontlikheid waargeneem om die samewerks- en netwerk-funksionaliteit van Web 2.0 platforms met bestaande Kennisbestuurstelsels te integreer. Die konsensus is egter dat sulke pogings nog veel tekortskiet en sommige waarnemers meen dat dit baie moeilik sal wees om Web 2.0 se sukses in die sosiale sfeer in die werksplek in te span. Die tesis argumenteer dat Web 2.0 hoofsaaklik Persoonlike Kennisbestuur (PKB) fasiliteer en langs hierdie ompad 'n bydrae lewer tot Organisatoriese Kennisbestuur (OKB). Verder lewer alle funksionaliteite van Web 2.0 nie 'n bruikbare bydra tot Kennisbestuur nie, maar is dit hoofsaaklik die groepsfunksies wat bruikbaar is in terme van netwerking en leer. Die tesis is teoreties gewortel in Cheong en Tsui se PKB 2.0 model, veral die Interpersoonlike Kennisoordragsfase wat weer op Nonaka se SEKI model gebaseer is. Die tesis oorweeg aanvanklik die onderskeid en verhouding tussen Organisatoriese Kennisbestuur (OKB) en Persoonlike Kennisbestuur (PKB). Daarna word Cheong en Tsui se PKB 2.0 model en Nonaka se SEKI model bespreek. Die Web 2.0 fenomeen word beskryf aan die hand van 'n literatuurstudie van navorsing oor die bruikbaarheid van Web 2.0 platforms en die groepsfunksionaliteit word spesifiek belig. 'n Vraelys, gebaseer op die SEKI en PKB 2.0 modelle, is onder gebruikers van 'n spesifieke Web 2.0 groepsfunksie geadministreer. Die tesis kom tot die konklusie dat die groepsfunksies van Web 2.0 sosiale netwerk-platforms bruikbaar is vir Kennisbestuur, want dit is inderdaad 'n komponent van gebruikers se Persoonlike Kennisbestuur (PKB).

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Nottingham, K. "Childhood antecedents and adolescent predictors of parental knowledge and its association with conduct problems." Thesis, University of Surrey, 2016. http://epubs.surrey.ac.uk/812347/.

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There are different elements to parental monitoring including parental knowledge and parental control, which have differing links to child conduct problems. The aims of this study were to examine the antecedents of parental knowledge and control, and to explore the concurrent and longitudinal associations with child conduct problems over time. Secondary analyses were conducted using data from 1, 116 families with twins taking part in the Environmental Risk (E-Risk) Longitudinal Twin Study. Assessments and interviews were conducted with mothers, teachers and children when children were aged 5, 7, 10, 12 and 18 years. Low family SES was found to predict lower parental knowledge and control at ages 10 and 12. Mother’s antisocial behaviour also predicted both parental knowledge and control at age 10, but only parental knowledge at age 12. Childhood conduct problems predicted later parental knowledge, but were not associated with parental control. Concurrently, conduct problems were negatively associated with parental knowledge, but were not robustly associated with parental control. Longitudinally, parental knowledge did not predict conduct problems independently of influences shared between siblings, therefore parental knowledge itself was not as influential as expected. Conversely, child conduct problems predicted less parental knowledge, over and above influences shared between siblings. As well as questioning the impact of parental knowledge on child conduct problems, these findings provide support for the importance of both child and parent-driven effects in contributing to behaviours’. Recommendations for future research and clinical intervention are discussed.

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Swift, Michele L. "The social exchange of knowledge: The role of knowledge goal orientations in shaping knowledge source sharing behaviors." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3273682.

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Ratute, Ashley. "Expanding social justice knowledge with sweatshop history." [Ames, Iowa : Iowa State University], 2010. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1476340.

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Liew, Yoo Kiang. "Contemporary sociology of knowledge and social research." Thesis, University of Macau, 1990. http://umaclib3.umac.mo/record=b1636954.

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Steele, Frances A. "Knowledge networks, secondary schools and social capital." Thesis, View thesis, 2009. http://handle.uws.edu.au:8081/1959.7/43849.

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This study investigates the links between secondary schools and organizations in one urban region of New South Wales. The questions that were addressed are as follows. What are the patterns of relationships by which secondary schools in a given local government area, gain access to knowledge? Which relationships do, or may, bring benefits to schools? What are the contingency factors associated with developing relationships to maximise access to knowledge? Knowledge exchange and acquisition by organizations are enhanced by structural, cognitive and relational forms of social capital. The study examines structural and relational aspects of social capital that enhance intellectual capital gain for secondary schools. The purpose of the study is to inform school personnel and policy makers about ways to enhance their knowledge networks and improve knowledge flows. Application of a network analysis approach to school-organizational connections brings a new perspective to this field of education research. The study makes an original contribution to educational theory in applying a systematic social capital based approach to an education context. Novel adaptations of existing organizational theory for educational settings are presented. Network analysis was situated within a relativist paradigm. Interviews, document collection and observation of events related to collaborative activities were used to gather information about aims, benefits and factors that enhance network formation. Data were analysed for betweenness, centrality and structural holes. Theories of inter-organizational interaction were applied, within a reflexive and iterative framework of analysis. Policy texts relating to network formation and maintenance were analysed and policy contribution to structural and cognitive (shared language and goals) aspects of social capital is elaborated. Secondary school egonets consisted of multiple links in diverse knowledge areas. Links were more likely to be located within the region and patterns were not related to homophily. A key finding is that time is a scarce resource in secondary schools in VLGA. The consequence of a lack of time is a resistance to more links. Three networks, in the knowledge areas of EfS, VET and welfare were located in the region. Policy discourses were found to shape the nature of links. Brokerage of two types was identified. One acted through creating new links for schools, and the other acted by rearranging knowledge into a form that is transferable. Both forms of brokerage were found to bring benefits to schools. Intellectual capital gain depended on contingent factors such as the purpose of the network, the type of knowledge exchanged, trust, perceived needs of the school and curriculum impacts on access to links. Network analysis is established as a productive way to investigate the totality of interactions involving schools. The construct of trust may offer a way to elucidate further the ways in which gains to intellectual capital are related to the complex interrelationships among schools, brokers and networks. The study recommends greater collaboration among schools, policy makers and external providers, both within the three areas of VET, EfS and welfare, and across these areas.

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Steele, Frances A. "Knowledge networks, secondary schools and social capital." View thesis, 2009. http://handle.uws.edu.au:8081/1959.7/43849.

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Thesis (Ph.D.)--University of Western Sydney, 2009.
A thesis presented to the University of Western Sydney, College of Arts, Centre for Educational Research, in fulfilment of the requirements for the degree of Doctor of Philosophy. Includes bibliographies.

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Nechaev, Yaroslav. "Linking Knowledge Bases to Social Media Profiles." Doctoral thesis, Università degli studi di Trento, 2019. https://hdl.handle.net/11572/368795.

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The Linked Open Data (LOD) cloud is currently a primary source of background knowledge for tasks in a wide variety of domains and across many scientific fields. The structured nature and the usage of well-defined open standards make it convenient to contribute to and build upon. However, since the major part of the LOD is ultimately crowdsourced and mostly populated and updated manually, some of the content in the LOD can become stale, inconsistent and lack coverage. Social media, on the other hand, uniquely allow the real world events to be accurately reflected with little or no delay in the form of posts and profile updates. A major downside of this vibrant source of knowledge that is contained in the social media is its lack of structure, significant noisiness and restrictive APIs that make it hard to extract, analyze and use it in the downstream tasks. In this thesis, I present the task of linking entities in a knowledge base (KB) to the corresponding social media profiles as an attempt to bridge the structured LOD cloud and the vibrant social media. As will be shown, such linking allows knowledge transfer between the two worlds: on the one hand, enabling the Semantic Web practitioners to harvest this vast amount of valuable, up-to-date data from the social media; on the other hand, the social media researchers can use the structured LOD knowledge much more efficiently, simplifying the pipelines and improving performance for tasks such as Type Prediction, Entity Linking, and User Profiling. I implement such knowledge transfer using DBpedia as a KB, since it is a cornerstone dataset in the LOD, and Twitter as a social media, due to its popularity and relative accessibility. However, approaches developed here are designed to be general and could be applied to other social media and KBs. To this end, firstly, I introduce SocialLink - a project designed to link KBs to social media profiles. SocialLink consists of (i) a linking approach that is able to produce high-quality entity-profile pairs, (ii) a LOD-compliant dataset of alignments between DBpedia and Twitter, (iii) the Social Media Toolkit system providing additional functionality on top of SocialLink. SocialLink employs a custom deep neural network-based architecture designed to efficiently exploit many modalities of data representing entities and profiles within DBpedia and Twitter. In second, I demonstrate how SocialLink can facilitate tasks in both Semantic Web and Social Media Analysis. In particular, I employ the abovementioned knowledge transfer to achieve state-of-the-art performance in Type Prediction task on DBpedia. Additionally, SocialLink is used to infer user interests on Twitter and to implement a novel approach that I proposed to prevent such inference. Finally, the Entity Linking capabilities of SocialLink are exploited to augment the social media management application called Pokedem and to provide an additional performance boost to a conventional Entity Linking pipeline achieving the second-best performance in EVALITA 2016 competition.

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40

Nechaev, Yaroslav. "Linking Knowledge Bases to Social Media Profiles." Doctoral thesis, University of Trento, 2019. http://eprints-phd.biblio.unitn.it/3584/1/Thesis.pdf.

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The Linked Open Data (LOD) cloud is currently a primary source of background knowledge for tasks in a wide variety of domains and across many scientific fields. The structured nature and the usage of well-defined open standards make it convenient to contribute to and build upon. However, since the major part of the LOD is ultimately crowdsourced and mostly populated and updated manually, some of the content in the LOD can become stale, inconsistent and lack coverage. Social media, on the other hand, uniquely allow the real world events to be accurately reflected with little or no delay in the form of posts and profile updates. A major downside of this vibrant source of knowledge that is contained in the social media is its lack of structure, significant noisiness and restrictive APIs that make it hard to extract, analyze and use it in the downstream tasks. In this thesis, I present the task of linking entities in a knowledge base (KB) to the corresponding social media profiles as an attempt to bridge the structured LOD cloud and the vibrant social media. As will be shown, such linking allows knowledge transfer between the two worlds: on the one hand, enabling the Semantic Web practitioners to harvest this vast amount of valuable, up-to-date data from the social media; on the other hand, the social media researchers can use the structured LOD knowledge much more efficiently, simplifying the pipelines and improving performance for tasks such as Type Prediction, Entity Linking, and User Profiling. I implement such knowledge transfer using DBpedia as a KB, since it is a cornerstone dataset in the LOD, and Twitter as a social media, due to its popularity and relative accessibility. However, approaches developed here are designed to be general and could be applied to other social media and KBs. To this end, firstly, I introduce SocialLink - a project designed to link KBs to social media profiles. SocialLink consists of (i) a linking approach that is able to produce high-quality entity-profile pairs, (ii) a LOD-compliant dataset of alignments between DBpedia and Twitter, (iii) the Social Media Toolkit system providing additional functionality on top of SocialLink. SocialLink employs a custom deep neural network-based architecture designed to efficiently exploit many modalities of data representing entities and profiles within DBpedia and Twitter. In second, I demonstrate how SocialLink can facilitate tasks in both Semantic Web and Social Media Analysis. In particular, I employ the abovementioned knowledge transfer to achieve state-of-the-art performance in Type Prediction task on DBpedia. Additionally, SocialLink is used to infer user interests on Twitter and to implement a novel approach that I proposed to prevent such inference. Finally, the Entity Linking capabilities of SocialLink are exploited to augment the social media management application called Pokedem and to provide an additional performance boost to a conventional Entity Linking pipeline achieving the second-best performance in EVALITA 2016 competition.

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41

BONOMO, Mariella. "Knowledge Extraction from Biological and Social Graphs." Doctoral thesis, Università degli Studi di Palermo, 2022. https://hdl.handle.net/10447/576508.

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Many problems from real life deal with the generation of enormous, varied, dynamic, and interconnected datasets coming from different and heterogeneous sources. Analysing large volumes of data makes it possible to generate new knowledge useful for making more informed decisions, in business and beyond. From personalising customer communication to streamlining production processes, via flow and emergency management, Big Data Analytics has an impact on all processes. The potential uses of Big Data go much further: two of the largest sources of data are including individual traders’ purchasing history, the use of Biological Networks for disease prediction or the reduction and study of Biological Networks. From a computer science point of view, the networks are graphs with various characteristics specific to the application domain. This PhD Thesis focuses on the proposal of novel knowledge extraction techniques from large graphs, mainly based on Big Data methodologies. Two application contexts are considered and three specific problems have been solved: Social data, for the optimization of advertising campaigns, the comparison of user profiles, and neighborhood analysis. Biological and Medical data, with the final aim of identifying biomarkers for diagnosis, treatment, prognosis, and prevention of diseases.

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42

Knappe, Susanne, Katja Beesdo-Baum, Lydia Fehm, Roselind Lieb, and Hans-Ulrich Wittchen. "Characterizing the association between parenting and adolescent social phobia." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-120015.

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Objectives: For characterizing the association between parenting and offspring social phobia (SP), contrasting maternal vs. paternal contributions, putative predictors of unfavorable parenting behaviors and its specificity for SP are warranted to delineate targeted prevention and intervention strategies. Methods: A population-based sample of 1053 adolescents was followed-up using the M-CIDI. Parenting was assessed via questionnaire in offspring passing the high risk period for SP-onset. Natal complications and childhood serious health problems as assessed by maternal reports were hypothesized to relate to unfavorable parenting. Results: The pattern of maternal overprotection, paternal rejection and lower emotional warmth was associated with SP, but not with other offspring anxiety disorders. Natal complications were related to overprotection and lower emotional warmth; trend-level associations emerged for serious health problems and unfavorable parenting. Conclusions: Paternal behavior appears particularly relevant for SP. The pattern of maternal overprotection, paternal rejection and lower emotional warmth was observed in SP only, suggesting that its detailed assessment provides a promising opportunity for targeted prevention and intervention in SP.

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Knappe, Susanne, Katja Beesdo-Baum, Lydia Fehm, Roselind Lieb, and Hans-Ulrich Wittchen. "Characterizing the association between parenting and adolescent social phobia." Technische Universität Dresden, 2012. https://tud.qucosa.de/id/qucosa%3A27095.

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Objectives: For characterizing the association between parenting and offspring social phobia (SP), contrasting maternal vs. paternal contributions, putative predictors of unfavorable parenting behaviors and its specificity for SP are warranted to delineate targeted prevention and intervention strategies. Methods: A population-based sample of 1053 adolescents was followed-up using the M-CIDI. Parenting was assessed via questionnaire in offspring passing the high risk period for SP-onset. Natal complications and childhood serious health problems as assessed by maternal reports were hypothesized to relate to unfavorable parenting. Results: The pattern of maternal overprotection, paternal rejection and lower emotional warmth was associated with SP, but not with other offspring anxiety disorders. Natal complications were related to overprotection and lower emotional warmth; trend-level associations emerged for serious health problems and unfavorable parenting. Conclusions: Paternal behavior appears particularly relevant for SP. The pattern of maternal overprotection, paternal rejection and lower emotional warmth was observed in SP only, suggesting that its detailed assessment provides a promising opportunity for targeted prevention and intervention in SP.

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Bogorny, Vania. "Enhancing spatial association rule mining in geographic databases." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2006. http://hdl.handle.net/10183/7841.

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A técnica de mineração de regras de associação surgiu com o objetivo de encontrar conhecimento novo, útil e previamente desconhecido em bancos de dados transacionais, e uma grande quantidade de algoritmos de mineração de regras de associação tem sido proposta na última década. O maior e mais bem conhecido problema destes algoritmos é a geração de grandes quantidades de conjuntos freqüentes e regras de associação. Em bancos de dados geográficos o problema de mineração de regras de associação espacial aumenta significativamente. Além da grande quantidade de regras e padrões gerados a maioria são associações do domínio geográfico, e são bem conhecidas, normalmente explicitamente representadas no esquema do banco de dados. A maioria dos algoritmos de mineração de regras de associação não garantem a eliminação de dependências geográficas conhecidas a priori. O resultado é que as mesmas associações representadas nos esquemas do banco de dados são extraídas pelos algoritmos de mineração de regras de associação e apresentadas ao usuário. O problema de mineração de regras de associação espacial pode ser dividido em três etapas principais: extração dos relacionamentos espaciais, geração dos conjuntos freqüentes e geração das regras de associação. A primeira etapa é a mais custosa tanto em tempo de processamento quanto pelo esforço requerido do usuário. A segunda e terceira etapas têm sido consideradas o maior problema na mineração de regras de associação em bancos de dados transacionais e tem sido abordadas como dois problemas diferentes: “frequent pattern mining” e “association rule mining”. Dependências geográficas bem conhecidas aparecem nas três etapas do processo. Tendo como objetivo a eliminação dessas dependências na mineração de regras de associação espacial essa tese apresenta um framework com três novos métodos para mineração de regras de associação utilizando restrições semânticas como conhecimento a priori. O primeiro método reduz os dados de entrada do algoritmo, e dependências geográficas são eliminadas parcialmente sem que haja perda de informação. O segundo método elimina combinações de pares de objetos geográficos com dependências durante a geração dos conjuntos freqüentes. O terceiro método é uma nova abordagem para gerar conjuntos freqüentes não redundantes e sem dependências, gerando conjuntos freqüentes máximos. Esse método reduz consideravelmente o número final de conjuntos freqüentes, e como conseqüência, reduz o número de regras de associação espacial.
The association rule mining technique emerged with the objective to find novel, useful, and previously unknown associations from transactional databases, and a large amount of association rule mining algorithms have been proposed in the last decade. Their main drawback, which is a well known problem, is the generation of large amounts of frequent patterns and association rules. In geographic databases the problem of mining spatial association rules increases significantly. Besides the large amount of generated patterns and rules, many patterns are well known geographic domain associations, normally explicitly represented in geographic database schemas. The majority of existing algorithms do not warrant the elimination of all well known geographic dependences. The result is that the same associations represented in geographic database schemas are extracted by spatial association rule mining algorithms and presented to the user. The problem of mining spatial association rules from geographic databases requires at least three main steps: compute spatial relationships, generate frequent patterns, and extract association rules. The first step is the most effort demanding and time consuming task in the rule mining process, but has received little attention in the literature. The second and third steps have been considered the main problem in transactional association rule mining and have been addressed as two different problems: frequent pattern mining and association rule mining. Well known geographic dependences which generate well known patterns may appear in the three main steps of the spatial association rule mining process. Aiming to eliminate well known dependences and generate more interesting patterns, this thesis presents a framework with three main methods for mining frequent geographic patterns using knowledge constraints. Semantic knowledge is used to avoid the generation of patterns that are previously known as non-interesting. The first method reduces the input problem, and all well known dependences that can be eliminated without loosing information are removed in data preprocessing. The second method eliminates combinations of pairs of geographic objects with dependences, during the frequent set generation. A third method presents a new approach to generate non-redundant frequent sets, the maximal generalized frequent sets without dependences. This method reduces the number of frequent patterns very significantly, and by consequence, the number of association rules.

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45

Matthews, Stephen. "Learning lost temporal fuzzy association rules." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/8257.

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Fuzzy association rule mining discovers patterns in transactions, such as shopping baskets in a supermarket, or Web page accesses by a visitor to a Web site. Temporal patterns can be present in fuzzy association rules because the underlying process generating the data can be dynamic. However, existing solutions may not discover all interesting patterns because of a previously unrecognised problem that is revealed in this thesis. The contextual meaning of fuzzy association rules changes because of the dynamic feature of data. The static fuzzy representation and traditional search method are inadequate. The Genetic Iterative Temporal Fuzzy Association Rule Mining (GITFARM) framework solves the problem by utilising flexible fuzzy representations from a fuzzy rule-based system (FRBS). The combination of temporal, fuzzy and itemset space was simultaneously searched with a genetic algorithm (GA) to overcome the problem. The framework transforms the dataset to a graph for efficiently searching the dataset. A choice of model in fuzzy representation provides a trade-off in usage between an approximate and descriptive model. A method for verifying the solution to the hypothesised problem was presented. The proposed GA-based solution was compared with a traditional approach that uses an exhaustive search method. It was shown how the GA-based solution discovered rules that the traditional approach did not. This shows that simultaneously searching for rules and membership functions with a GA is a suitable solution for mining temporal fuzzy association rules. So, in practice, more knowledge can be discovered for making well-informed decisions that would otherwise be lost with a traditional approach.

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46

Abjanbekov, Aidyn, and Padilla Ana Elena Alvarez. "From Knowledge Transfer to Knowledge Translation: Case Study of a Telecom Consultancy." Thesis, Linköping University, Department of Management and Economics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2236.

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Background: In today’s highly competitive business environment, knowledge is viewed as a key strategic resource. The privatization process of telecom operators in different countries created a demand in telecom management skills, and Swedish companies like Swedtel AB became involved in exporting and transferring their knowledge and management skills.

Purpose: The purpose of this thesis paper is to identify all stages (from origins to final destination) of the Knowledge Transfer process and to contribute to the understanding about the mechanism of Knowledge Transfer between organizations.

Scope: This research is limited to the investigation of the transfer process of strategic management knowledge from consulting company Swedtel AB to privatized telecom companies in Lithuania (Lietuvos Telekomas) and Nicaragua (Enitel).

Results: Theoretical model of Knowledge Transfer was identified and tested. The model of this research was only partially supported: processes were identified in practice as described by the theory, however model required modifications in order to better reflect the reality.

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Graham, Mekada Julia. "Exploring African-centred cultural knowledge in social work and social welfare." Thesis, University of Hertfordshire, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391376.

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Veletanlic, Muhamed. "Assessing attachment models using the implicit association test." Thesis, Kristianstad University College, Department of Behavioural Sciences, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-4207.

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Internal working models of attachment are claimed to be unconscious structures operating outside the conscious awareness. Existing measures of attachment are almost exclusively explicit, either self-reports or interviews and it is questionable whether these instruments are able to tap into unconscious attachment attitudes. The main purpose of the present study is to develop Implicit Association Test (IAT) tools for assessing adult attachment and to examine their construct validity. Two sets of implicit attachment measures, based on the two-dimensional attachment model (Bartholomew & Horowitz, 1991), were developed. Convergent validity was assessed by examining (1) the relationship between implicit model of self and implicit self-esteem and (2) the relationship between the implicit model of other and implicit sociability. Divergent validity of attachment IATs was assessed by examining the relationship between the explicit and implicit attachment. The results showed support for convergent validity of the IAT Model of Self and for divergent validity.

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Lai, Kuan-Ting, and 賴冠廷. "The association among mental health social workers’ cultural inclination, mental health stigma, and recovery knowledge." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/mke64z.

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碩士
國立臺灣師範大學
社會工作學研究所
107
The developmental trend in the field of mental health is recovery-oriented services, the cross-cultural applicability of which is often discussed; in addition, the individualism-collectivism tendency is an important concept in studying cross-cultural research. Although past studies do not point out the Intervening Variables of individualism-collectivism tendency and the knowledge and attitude of recovery-oriented services, the stigma of mental health diseases has always been an important variable in the field of mental health. It affects the attitudes of service providers, and even has a further impact on their identification of such knowledge. Wherein, mental health social workers is an important and rarely discussed group. Therefore, the research subjects of this study are Taiwan's mental health social workers. Online questionnaire is used to conduct this investigation on the exploration of the relationship between the cultural tendencies of mental health social workers, the stigma of mental health diseases and their knowledge of and attitude towards recovery-oriented services. The questionnaire contains three parts: the "Individualism-Collectivism Tendency Scale", "The Stigma of Mental Health Diseases Scale" and "The Knowledge and Attitude of Recovery-Oriented Services Scale". Factor analyses were conducted on the 83 returned questionnaires. The analytical structure of these factor analyses are about the same as past research, it is only that the differences in "The Knowledge and Attitude of Recovery-Oriented Services Scale" are a bit larger by comparison. But, the said simplified scale is highly correlated with the original complete scale, and the original factor structure is preserved in order to compare it with the existing empirical research. The overall questionnaire Cronbach's α values are .56, .82 and .69 respectively. SPSS statistical software is adopted, and the Descriptive Statistics, t Test, ANOVA, Pearson Product-Moment Correlation Analysis and hierarchical regression analysis methods are used to conduct data analysis on the specific topic in this research. Major findings in this research are as follows: 1. The cultural tendencies of mental health social workers lean more towards the "horizontal" trait, in which, the stigma of mental health diseases hinders marriage the most; overall, for Knowledge and Attitude of Recovery-Oriented Services, it trends between "not sure" and "agree", and leans towards "not sure". 2. The cultural tendencies of mental health social workers have no impact on the stigma of mental health diseases. 3. Concerning mental health social workers, the higher their vertical tendency in individualism and collectivism, the higher their knowledge of, and the better their attitude towards Recovery-Oriented Services. 4. For mental health social workers, the stigma of mental health diseases plays an intermediary role between the Individualism-Collectivism Tendency and the Knowledge and Attitude of Recovery-Oriented Services. Lastly, this study makes the following recommendations, based on the research findings: that with the introduction of relevant courses about mental health diseases, the mental health social workers' understanding of mental health diseases may be improved, and their stigma towards mental health diseases may be reduced. In addition, with the use of strength-based training pertaining to recovery services, their knowledge of, and attitude towards recovery-oriented services may also be improved.

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Huang, Yi-Ru, and 黃奕儒. "The Association between Consumer’s Attitude and Knowledge toward Social Issues and Willingness to Pay for the Product of Social Enterprise." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/98w7zz.

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碩士
國立彰化師範大學
企業管理學系
105
This study examines the association between consumer’s attitude and knowledge towards social issues and willingness to pay for the product of social enterprise. To this end, a questionnaire was posted on the Internet from February 8th, 2017 to February 12th, 2017. This study examines the environmental issue. There are three major parts in the questionnaire. In the first part, this study measures consumer’s attitude by New Environment Paradigm. In the second part, there are six multiple-choice questions to examine the subjects’ knowledge of environmental issue. In the third part, the subject read the introduction of the two social enterprises which involve environmental issue and the product feature first. Then ask their willingness to pay to the product. 　The survey subjects are the student in National Changhua University of Education, and obtain a convenient sampling cohort of 191 samples. The analysis methods are Factor Analysis and Multiple Regression Analysis. This study finds that: (1) consumer’s knowledge towards social issue is positively related to the willingness to pay for the product of social enterprise that involves the environmental issue directly. (2) through the Factor Analysis, the factors of consumers’ attitude to environmental issue include: the Possibility of an Eco-Crisis, Fragility of Nature’s Balance, Anti-Anthropocentrism, and the Reality of Limits to Growth. Anti-anthropocentrism is a unique factor of consumer’s attitude towards social issue is positively related to the willingness to pay for the product of social enterprise. (3) About the demographic variable, knowing the company, purchase experience to the company, Arts college student, and disposable living income are statistically significant.

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Dissertations / Theses on the topic 'Association for Social Knowledge'

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