Academic literature on the topic 'Leximancer'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Leximancer.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Leximancer"
1
Engstrom, Teyl, Jenny Strong, Clair Sullivan, and Jason D. Pole. "A Comparison of Leximancer Semi-automated Content Analysis to Manual Content Analysis: A Healthcare Exemplar Using Emotive Transcripts of COVID-19 Hospital Staff Interactive Webcasts." International Journal of Qualitative Methods 21 (January 2022): 160940692211189. http://dx.doi.org/10.1177/16094069221118993.
Full textAbstract:
Effective consumer centred healthcare incorporates consumer and clinician perspectives into decision making, in addition to traditional quantitative measures. This information is usually captured in qualitative data that requires manual analysis. Healthcare systems often lack resources to systematically incorporate qualitative feedback into decision making. Semi-automated content analysis tools, such as Leximancer, provide an efficient and objective alternative to time consuming manual content analysis (MCA). Literature on the validity of Leximancer in healthcare is sparse. This study seeks to validate Leximancer against MCA on a broad emotive conversational dataset gathered in a healthcare setting. At the outset of the COVID-19 pandemic, a large Australian hospital and health service conducted interactive webcasts with staff to provide updates and answer questions. A manual thematic analysis and a Leximancer content analysis were conducted independently on 20 webcast transcripts. The findings were compared, along with the time required to the complete each analysis. The Leximancer analysis identified nine concepts, while the manual analysis identified 12 concepts. The Leximancer concepts mapped to five of the concepts identified in the manual analysis, which accounted for 74% of mentions tagged in the text through the manual analysis. Leximancer missed concepts which required an emotional or contextual interpretation. The Leximancer analysis took 21 hours (excluding time to learn the program), compared to 73 hours for the manual analysis. Semi-automated content analysis provides an efficient alternative to manual qualitative data analysis, shifting it from a small-scale research activity to a more routine operational activity, albeit with some limitations. This is critical to be able to utilise at scale the rich narratives from consumers and clinicians in healthcare decision making.
2
Catahan, Nicholas, and Helen Woodruffe-Burton. "The view, brew and loo: perceptions of botanic gardens?" Journal of Place Management and Development 12, no. 1 (March 4, 2019): 20–38. http://dx.doi.org/10.1108/jpmd-12-2017-0127.
Full textAbstract:
PurposeThis is an exploratory and qualitative study to consider approaches to capture, analyse and monitor perceptions from big data, to inform and contribute to place management research and practice of botanic gardens (BGs). This paper aims to address the ongoing significant threat to BGs due to funding being cut and the need to inform and develop sustainable revenue streams for their survival.Design/methodology/approachGuiding research questions for this study were: ‘What are the perceived strengths and areas for development for 2 BGs via a Leximancer Automatic Content Analysis (ACA) of TripAdvisor online reviews; and do they match BGs purpose of scientific research, conservation, display and education?’ A content analysis of 582 online reviews from 2007 to 2017 follows qualitative methodology techniques using a combination of manual and automatic text analysis (Leximancer text mining software). These approaches enabled a comparison of online TripAdvisor reviews with Likert-type or rating scale items of 1 to 5 stars.FindingsInsights revealed the use of Leximancer and TripAdvisor (or similar innovations) as tools for potential place management, place marketing communications and monitoring purposes. Predominant perceptions extracted from reviews are not concerned with documented collections of living plants for the purposes of scientific discovery, conservation, display and education. Reviews clearly focus more upon aesthetics, facilities and services, which support previous studies. Overall, reviews highlighted positive sentiments towards the BGs.Research limitations/implicationsLimitations link to limited data across two BGs, synthesis and meaning of complex perceptions, matters of subjectivity and time needed to interpret information. Implications enable insights into BG “place” gleaned from big data in the form of user-generated content and electronic Word-Of-Mouth using Leximancer; viewed as a measure alongside management action plans. Future studies could strengthen debate and action regarding the use of Leximancer, and also public perception of BGs’ core functions, importance and value. The research supports potential to monitor and transform perceptions, values and beliefs. Outcomes could eventually inform policy and generate a much-needed shift in funds and resources for BGs by highlighting their relevance and value to society.Originality/valueAn empirical and methodological contribution via peer reviewed studies of visitor perceptions via online reviews of Britain’s BGs “place” and “space” analysed with Leximancer have never been published. This study critically explores potential visitor and place management needs of BGs. Managers can make better use of big data from social media platforms/digital channels, using a novel type of data analytical software like Leximancer for strategic planning; with more informed approaches to place management, innovation and development. A key contribution of this study is this ACA methodological approach for place management.
3
Biroscak, Brian J., Jenny E. Scott, James H. Lindenberger, and Carol A. Bryant. "Leximancer Software as a Research Tool for Social Marketers." Social Marketing Quarterly 23, no. 3 (April 4, 2017): 223–31. http://dx.doi.org/10.1177/1524500417700826.
Full textAbstract:
The amount of human effort required to do content analysis research “by hand” is often time-consuming, and unreliability is a common concern. Our aim was to conduct a content analysis that traces the history of Social Marketing Quarterly ( SMQ) articles by using Leximancer (version 4.5)—a software tool designed for analyzing natural-language text data. We adhered to Krippendorff’s network of steps to address two research questions: (1) “What are the prevailing conceptualizations of the application of social marketing?” and (2) “How have those conceptualizations changed over time?” We identified all SMQ volumes/issues published between May 1994 (inaugural issue) and September 2015. Our sampling units consisted of all SMQ “Application” articles published during that time ( n = 162). Leximancer output includes a conceptual map representing the main concepts within the text and how they are related (themes). Based on conceptual and relational analyses, one would surmise that social marketing applications (e.g., campaigns) predominantly address health-related problems through behavioral influence strategies, informed by audience research and designed to include the elements of the marketing mix (e.g., messaging). The predominant health topic addressed by social marketing applications has been tobacco use and smoking. Leximancer has a number of desirable features including an ability to quickly handle large amounts of text in various formats and languages. However, those features are no substitute for a content analysis design that makes the research reproducible and available for critical examination—a shortcoming of previous content analyses of the social marketing field.
4
Thavamani, Ms C., and Dr A. Rengarajan. "Mining Conceptual Relations from Textual Web Content Using Leximancer." IOSR Journal of Computer Engineering 16, no. 5 (2014): 24–27. http://dx.doi.org/10.9790/0661-16552427.
Full text
5
Guzman-Parra, Vanesa F., Juan Trespalacios Gutierrez, and José Roberto Vila-Oblitas. "Mapping the concepts evoked by a destination: an approach to the study of a holistic destination image." Journal of Hospitality and Tourism Technology 12, no. 2 (June 10, 2021): 324–40. http://dx.doi.org/10.1108/jhtt-07-2018-0058.
Full textAbstract:
Purpose This study aims to demonstrate the application of computer-aided text analysis (CATA) software in identifying primary associations and impressions of a specified tourist destination. Design/methodology/approach The Leximancer software is applied on primary information to analyze the concepts evoked by a destination. Because no specific planning has been done for destination image marketing strategies for rural tourism in Andalusia, this study visualizes and determines clusters of the main attributes associated with this destination. Findings The analysis identifies the main clusters among associations and impressions of the destination that can be useful in developing strategies. Research limitations/implications Only a target segment is studied, with a relatively small sample size. Practical implications Leximancer can not only be applied to online user-generated content, but primary information can also be mapped to generate a holistic destination image. Furthermore, identification of the relevant attributes and impressions can serve to identify unique assets to help tourism organizations develop a destination. Social implications Several implications concerning destination marketing are outlined. Originality/value Although previous studies have applied Leximancer and other CATA software, the present research uses a new approach. Deriving the primary information on destination image using an unstructured methodology, the concepts evoked by a destination are mapped. Because there is a lack of research on rural tourism in Andalusia and its destination image, its associated attributes are studied.
6
Tetzlaff, Emily, Ann Pegoraro, Tammy Eger, Sandra Dorman, and Vic Pakalnis. "Thematic Analysis of Key Recommendations from Commissioned Occupational Health and Safety Reports in Mining." Diversity of Research in Health Journal 1 (June 21, 2017): 139. http://dx.doi.org/10.28984/drhj.v1i0.65.
Full textAbstract:
The objective of the study was to address the recommendations from 10 commissioned occupational health and safety (OHS) reports from the mining industry internationally, spanning the past 50 years. The investigation involved a two-step thematic analysis using Leximancer, a text mining software, to identify the key themes and concepts present in the recommendations. First, Leximancer was utilized to analyze the manifest content of each report through conceptual and relational analysis to produce concept maps. The Leximancer mapping subsystem works in two stages, characterized as semantic extraction of dominant themes, followed by relational extraction [1]. Next, a seeded analysis of the term safety culture was conducted to determine how the concept of safety culture overlaps or diverges from the discussion and recommendations present in the documents [2]. It is evident from the initial analysis that although safety culture was discussed briefly in a few of the documents, it was not a consideration in the formation of the recommendations. Therefore, as results indicate, if the recommendations continue to focus on engineering more solutions for past errors, instead of focusing on the organizations safety culture, they will fail to prevent accidents and fatalities of the future. Applying the findings of this research to OHS in mining, and other industries, such as health care, construction and aviation, has the potential to provide a greater contribution to the prevention of occupational accidents and risk reduction.
7
Thomas, David A. "Searching for Significance in Unstructured Data: Text Mining with Leximancer." European Educational Research Journal 13, no. 2 (January 2014): 235–56. http://dx.doi.org/10.2304/eerj.2014.13.2.235.
Full text
8
Kivunja, Charles. "Qualitative Data Mining and Knowledge Discovery Using Leximancer Digital Software." Lecture Notes on Information Theory 1, no. 1 (2013): 53–55. http://dx.doi.org/10.12720/lnit.1.1.53-55.
Full text
9
Aiello, Michael F. "Influential Women? Policing Styles in Online Recruitment Materials." Police Quarterly 23, no. 1 (August 20, 2019): 3–24. http://dx.doi.org/10.1177/1098611119870263.
Full textAbstract:
This article tests the temporal relationship between the representation of females in policing and organizational change toward community-oriented policing. This mixed methods study involves secondary data analysis of the 2013 Law Enforcement Management and Administrative Statistics survey, open-source data collection of online recruitment materials for 493 Law Enforcement Management and Administrative Statistics agencies, quantitative content analysis of a random sample of 131 departments, and Leximancer semantic mapping of the 493 departments’ materials. The two forms of content analysis focus on the particular emphases of “legalistic,” “watchman,” and “service” styles. The quantitative content analysis results largely support the temporal model, with the percent female sworn in a given department in 2013 significantly predicting whether that department’s 2018 recruitment materials focus on service or community-oriented policing content. The Leximancer semantic mapping results provide a more ambiguous picture, including legalistic through-line language around police work.
10
Grech, Michelle R., Tim Horberry, and Andrew Smith. "Human Error in Maritime Operations: Analyses of Accident Reports Using the Leximancer Tool." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 19 (September 2002): 1718–21. http://dx.doi.org/10.1177/154193120204601906.
Full textAbstract:
This paper focuses on the problem of lack of Situation Awareness (SA) by mariners. An analysis of a large number of accident reports was conducted in order to determine the extent to which SA is a relevant issue in merchant shipping operations. For the first time use was made of the Leximancer tool due to its ability to rapidly analyse large amounts of textual information. One major function of this research was to examine the accuracy and usefulness of such a data analysis tool by comparing the results of this computer analysis with that of a ‘manual’ analysis (performed by two raters). Our results underline the importance of SA in decision-making processes in the maritime domain: a large number of investigated maritime accidents were partly due to loss of SA. Also, the results of the Leximancer tool were found to be comparable to the manual analysis, thus suggesting further use of such a system for accident report analysis in other transportation domains.
Dissertations / Theses on the topic "Leximancer"
1
Shannon, Emma. "Learning through leximancer : exploring context maps in reading /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19260.pdf.
Full text
2
Garg, Arun. "Quantifying resilient safety culture using complex network theory." Thesis, Griffith University, 2022. http://hdl.handle.net/10072/411532.
Full textAbstract:
Safety is defined as the absence of accidents where accident is an event which lead to unacceptable loss. Previously, most systems employed conventional risk management systems to deal with risks which was based on knowledge of previous experiences, failure reporting and risk assessments by computing historic data. But today, these are traced to organizational factors, functional performance variability and unexpected outcomes or it can be pointed towards systems thinking. Resilience engineering is recognized as other alternative to traditional approaches in safety management. The idea behind resilience engineering is that an organization must continually manage risks and create an anticipating, monitoring, responding and learning culture. This is resilient safety culture. Resilient safety culture is a new concept which has been proposed in order to cover the weaknesses of traditional approaches of safety culture. It is a safety culture with resilience, learning, continuous improvements and cost effectiveness. This resilience takes into consideration the dynamic aspect of the safety culture which makes it resilient to any risks which a safety system faces. The main drawback is the dynamic aspect of the culture is not taken into consideration which is the interaction between people, technology and administration. These interactions are quite complex in nature and difficult to understand and quantify. That is why this study investigates the understanding of these interactions using complex network theory. Once these interactions are understood to some extent, the prediction and prevention of incidents can be done to some extent.
There are four different kinds of indicators in the system. Two are system performance indicators, leading and lagging and the other two are the risk indicators that as well leading and lagging. The system performance indicators are indicators which show how the system is performing either in current state which is leading and the system performance indicator which is lagging is gauged by efficiency of the system after a time such as injury rate. Risk indicators leading is found by understanding the various risks which are prevalent in the system and lagging risk indicators are the indicators which led to an accident in previous time frame. Since the system is dynamic, it needs to be understood that these indicators have a time value attached to it. If there is an accident which happened due to some lagging risk indicator, that is in previous time frame, that may have already changed by the time the accidents happened so safety-1 concept which looked at just lagging indicators to dictate the future evaluations of the organization need to be modified and thus resilient safety culture methodology is getting evolved using resilience engineering.
Using fault tree analysis, the interactions of various components in a safety system can be understood. Resilient safety culture is treated as a system and it has three sub systems. The sub system further has factors which are important relationships to understand the whole system. These relations between the factors and subsystem are used to measure the resilience of the whole system. This is an innovative quantifying way in which we can improve the resilience in safety culture of an organization.
In this study, the qualitative variables defined using the literature are correlated using qualitative as well as quantitative approaches. In the qualitative approach, Leximancer tool is used which model the variables using the literature data. Next, the resilient safety culture model is generated and then fault tree analysis is used to decipher the complex interactions which can help understand which relationships can lead to incident. This study would generate a tool which would help organizations look at the weak links and nodes in their organization to better equip and enhance resources to make the organization more resilient against any safety risks. Multiple case studies are done to validate this model and to show how the whole process is done to understand a way to reduce and mitigate risks. Resilience index is generated which helps in finding which constructs are lagging or weak in giving that index number and the index can be used to compare to companies or organizations irrespective of the number of respondents or the type of indicators which are used. It also helps in reducing the linguistic bias.
The findings of this study show that in resilient safety culture model, which components should be focussed first and how the components of resilient safety culture model are related with each other. This helps in optimization of the components or subcomponents to get the maximum resilience in an organization. It is also found that weak areas in an organization can be successfully deciphered using the fault tree analysis approach along with visualization of failure paths.
This resilience safety culture model generated along with the methodology adopted in this study can help the industry to making right decisions in enhancing the resilience of the organizations with minimum intervention. It can help the industry find the weak areas where the intervention is needed. It can also give leading indicators which can cause future incidents.Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Eng & Built Env
Science, Environment, Engineering and Technology
Full Text
3
Zhou, Weiwen. "The Frame of Social Media in Academic and Industry." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etd/1498.
Full textAbstract:
With the development of technology, the communication between people has changed rapidly. Social media is a type of digital network designed to share content with other internet users based on their preferences and associations. The purpose of this research was to understand how industry press and the professional market place frame social media today. Moreover, this research showed the explored current social media pedagogy in business and communication programs to see if it matches the need of industry expectations. This study was a content analysis of the text-based study that uses a qualitative software-Leximancer to analyze data. The result suggested both industry press and the job market expect professionals to understand the skills of how to master the social media platforms, especially Facebook. Finally, universities offer few courses about social media, with primary objective of marketing and communication programs focusing on teaching students to be professional in business and organizations.
4
Howard, Matylda Iwanna. "Raising the voice of dissatisfaction : a qualitative study of the Queensland acute health care consumer and the experience of complaining." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/46834/1/Matylda_Howard_Thesis.pdf.
Full textAbstract:
Research into complaints handling in the health care system has predominately focused on examining the processes that underpin the organisational systems. An understanding of the cognitive decisions made by patients that influence whether they are satisfied or dissatisfied with the care they are receiving has had limited attention thus far. This study explored the lived experiences of Queensland acute care patients who complained about some aspect of their inpatient stay.
A purposive sample of sixteen participants was recruited and interviewed about their experience of making a complaint. The qualitative data gathered through the interview process was subjected to an Interpretative Phenomenological Analysis (IPA) approach, guided by the philosophical influences of Heidegger (1889-1976). As part of the interpretive endeavour of this study, Lazarus’ cognitive emotive model with situational challenge was drawn on to provide a contextual understanding of the emotions experienced by the study participants.
Analysis of the research data, aided by Leximancer™ software, revealed a series of relational themes that supported the interpretative data analysis process undertaken. The superordinate thematic statements that emerged from the narratives via the hermeneutic process were ineffective communication, standards of care were not consistent, being treated with disrespect, information on how to complain was not clear, and perceptions of negligence.
This study’s goal was to provide health services with information about complaints handling that can help them develop service improvements. The study patients articulated the need for health care system reform; they want to be listened to, to be acknowledged, to be believed, for people to take ownership if they had made a mistake, for mistakes not to occur again, and to receive an apology.
For these initiatives to be fully realised, the paradigm shift must go beyond regurgitating complaints data metrics in percentages per patient contact, towards a concerted effort to evaluate what the qualitative complaints data is really saying. An opportunity to identify a more positive and proactive approach in encouraging our patients to complain when they are dissatisfied has the potential to influence improvements.
5
Li, Meng. "Narrative Advertising." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etd/2485.
Full textAbstract:
Brand meaning, which is often used in narrative advertising, is an important value that companies try to build around their loyal consumers. This exploratory research aims to explore brand meanings from consumers’ narratives. This study analyzed 2,382 consumer submitted narratives for a real brand in the food service marketplace. Brand narratives were analyzed using a mixed method content analysis approach by applying Leximancer software to generate key themes and their related concepts. The results indicate brand meaning with some thematic similarities as well as differences when comparing narratives submitted by females and males. This exploratory study introduces analyzing narrative as a way to learn brand meaning and generate future narratives that could be applied to creative message strategy.
6
Singleton, Judith A. "Factors affecting hospital pharmacists' and pharmacy technicians' engagement with pro-environmental behaviours in the workplace." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/120723/1/Judith_Singleton_Thesis.pdf.
Full textAbstract:
Medicines have a large carbon footprint, and the aim of this research was to identify ways to reduce the carbon footprint of medicines in hospital pharmacy departments. Factors affecting pharmacists' and pharmacy technicians' engagement with pro-environmental behaviours regarding medicines' disposal in Australian and UK hospitals were explored. Environmental attitudes, environmental knowledge, environmental concern, and organisational factors that either help or prevent appropriate disposal of unwanted medicines and their packaging were investigated. Currently, many pharmacists believe medicines' disposal is outside their current scope of practice. Organisation-wide environmental education programs are needed to increase awareness and improve behaviours.
7
Tjong, Feliani. "Exploring the factors that affect senior hotel managers’ intentions towards future crisis planning: Lessons from the COVID-19 pandemic." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2022. https://ro.ecu.edu.au/theses/2596.
Full textAbstract:
The unprecedented COVID-19 pandemic has severely affected the tourism and hospitality industry. Hotel managers feel uncertain facing this situation where the hospitality industry struggles to survive. Evidently, changes in crisis management and crisis planning practices are needed as the global pandemic continues to affect the industry. Most past studies put more emphasis on the crisis response and recovery rather than pre-crisis stage. Further, despite the negative impacts that crises,such as the COVID-19 pandemic, have on the industry, hotel managers have continued to show limited attention towards crisis planning. Therefore, this study aims to explore the pre-crisis stage through the lens of the Theory of Planned Behaviour (TPB), specifically, by gaining a deeper understanding about attitudes, subjective norms, and perceived behaviour, in relation to the additional variables of perceived risk and past behaviour, in exploring the Senior Hotel Managers’ intentions towards future crisis planning. The TPB model was evolved through the addition of the two variables of perceived risk and past behaviour, in response to extant calls for researchers to further develop the TPB model.
This exploratory study involved a qualitative methodology which was founded on 21 semi-structured online interviews with Senior Hotel Managers of quarantine hotels in Western Australia. Online interviews were the only option available at the time this study was conducted which was during the COVID-19 pandemic year of 2021, where strict government guidelines, protocols and restrictions needed to be followed. A combination of non-probability convenience, purposive, and snowball sampling methods were used to recruit participants. The study gathered information from knowledgeable and experienced participants who had experienced the phenomenon that is being studied and helped to answer this study’s research questions. Senior Hotel Managers were chosen based on the following criteria: (1) Senior Hotel Managers who have worked or were presently working in quarantine hotels in Western Australia; (2) hotels that have been used or were presently being used as a quarantine facility; and (3) participants have experienced the COVID-19 pandemic.
As the data was unstructured and qualitative in nature, a computer-driven qualitative data analysis program which used machine learning to perform thematic analysis for the purposes of exploring the data, was used. Leximancer was the program which was used to identify common themes and key concepts that emerged from the data. Results showed that positive attitudes, reference groups, perceived difficulties, perceived risks, and past behaviour were considered as the factors which influenced Senior Hotel Managers’ intentions towards future crisis planning.In summary, results from this study identified five attitudes (crisis, closure, people, procedures, and timeline), four important reference groups (crisis committee, colleagues, government, and external individuals), four perceived difficulties (human resources, colleagues, time, and ambiguity), four perceived risks (human risk, management risk, and environmental risk), and three past behaviour (crisis experience, awareness, and future crisis) that played a role in the Senior Hotel Managers’ crisis planning intentions. These findings present vital theoretical and industry implications, and proffer important guidelines for future research and practices for improving future crisis planning in the hotel industry. These findings also provide lessons to other industries outside the hotel industry, and other countries beyond Australia, which can be immensely valuable during a crisis, such as the present COVID-19 pandemic.
8
Lakshminarayanan, Bhuvaneshwari. "Towards developing an integrated model of information behaviour." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/33252/1/Bhuvaneshwari_Lakshminarayanan_Thesis.pdf.
Full textAbstract:
This paper presents the results from a study of information behaviors in the context of people's everyday lives undertaken in order to develop an integrated model of information behavior (IB). 34 participants from across 6 countries maintained a daily information journal or diary – mainly through a secure web log – for two weeks, to an aggregate of 468 participant days over five months. The text-rich diary data was analyzed using a multi-method qualitative-quantitative analysis in the following order: Grounded Theory analysis with manual coding, automated concept analysis using thesaurus-based visualization, and finally a statistical analysis of the coding data. The findings indicate that people engage in several information behaviors simultaneously throughout their everyday lives (including home and work life) and that sense-making is entangled in all aspects of them. Participants engaged in many of the information behaviors in a parallel, distributed, and concurrent fashion: many information behaviors for one information problem, one information behavior across many information problems, and many information behaviors concurrently across many information problems. Findings indicate also that information avoidance – both active and passive avoidance – is a common phenomenon and that information organizing behaviors or the lack thereof caused the most problems for participants. An integrated model of information behaviors is presented based on the findings.
9
Heath, AL. "A case study investigation of support processes and interventions for potential ogre behaviours in Tasmanian secondary schools." Thesis, 2017. https://eprints.utas.edu.au/27323/1/Heath_whole_thesis.pdf.
Full textAbstract:
Positively addressing and resolving staff grievances within a school is imperative for effective schooling and leadership. Often overlooked in Grievance Procedures is a behaviour that is creating significant concerns, but when recognised it is often associated with and mistaken for bullying. This concept, and associated behaviours (e.g. patterns of multiple unrelated negative interactions with others) belongs to the ogre. Ogre behaviours are not well understood because the focus in recent years has been on bullying research that is overt in its nature, rather than ogre research that is systematically covert, and may include deeper psychopathological underpinnings. This leaves a significant research gap that fails to address the relationship between the desire for power/authority in the workplace, ogre behaviours, and data on the extent to which negative interactions by ogres may be influenced by personality. Furthermore, a gap also exists that clarifies how individual perceptions may contribute to ogre behaviours, and explain how Grievance Procedures may contribute to the reinforcement of ogre behaviours.
Content and Leximancer Analysis are two useful methodological tools which, when used in tandem, can specifically assist in addressing these gaps by increasing our understanding of the process/es undertaken to positively resolve ogre initiated grievance in terms of procedures, roles of individuals and outcomes in line with policy. Content and Leximancer Analysis were used to review formal procedures and archival files between the periods of 1973 until 1987 from a secondary school secure repository in Tasmania. Content Analysis was used to capture broad themes (i.e., concern relating to industrial/wage entitlements, behaviour/action of an individual, and negative interactions between 2 or more people), essences, and concepts common in archived formal grievance files; this led to identifying incidents in terms of their nature and severity. Leximancer Analysis was used to look at key ideas, concepts, and common words mandated by organisational human resource policy; this assisted in assessing whether appropriate procedures and processes were followed leading up to positive resolution of ogre initiated grievances.
Content Analysis revealed that disputes regarding behaviours (e.g., harassment) appeared to have been resolved within five working days and, required no further action from school leadership. However, Leximancer Analysis identified that the Grievance Procedure in this school had a focus on producing measurable outcomes (e.g., reducing the harassment) rather than solutions (e.g., restoring an effective working relationship after harassment has ceased). Content Analysis allowed for a multi-layered consideration as it assisted in unpacking the grievance in terms of behaviour, and Leximancer Analysis provided a clear link in identifying how outcomes were achieved in line with policy and whether they resulted in positively resolving the grievance. Content Analysis in this research is guided by Social Cognitive Theory (SCT), and consequentially strengthened by enhancing the validity and reliability of the analysis.
Even though this research did not unanimously indicate that there is an ability to identify ogres in the workplace within retrospective archival research, it did outline the importance of considering each concern on its merit and type, rather than expecting that the same reaction to concerns will provide solutions. Consequently, a risk framework has been developed to support the early identification of ogres in the workplace with two further recommendations from this research presented in the final chapter. The first of these recommendation is to develop a global definition of ogre behaviour, and secondly, to use solution focussed policy and procedure mechanisms in the form of a risk management tool.
10
Domingos, Magda Santos. "Uma análise crítica de conteúdo gerado sobre o Turismo Negro." Master's thesis, 2021. http://hdl.handle.net/10400.26/37470.
Full textAbstract:
O turismo negro, é um tema largamente desconhecido do público em geral, porém, tem vivenciado um crescimento progressivo entre os turistas. A panóplia de lugares e monumentos que suscitam a curiosidade do publico, são o motivo da sua crescente procura turística.
Este estudo investigou duas experiências de turismo negro: visita a casas assombradas e visita à Prisão de Alcatraz. Numa média de 9 anos de revisões, as opiniões de 951 turistas, foram analisadas utilizando a ferramenta de analise de dados – Leximancer 4.0. Esta dissertação tem como objetivo descobrir os fatores que influenciam os turistas na decisão de visitar uma experiência de turismo negro.
Os resultados obtidos, a partir da análise do conteúdo gerado pelos utilizadores, indicam os conceitos mais citados pelos turistas, relevando assim, o que estes mais valorizam em experiências de turismo negro.Black tourism is a subject largely unknown to the general public, but it has experienced a progressive growth among tourists. The panoply of places and monuments that arouse the curiosity of the public are the reason for its growing tourist demand. This study investigated two dark tourism experiences: visiting haunted houses and visiting Alcatraz Prison. In an average of 9 years of reviews, the opinions of 951 tourists, were analysed using the data analytics tool - Leximancer 4.0. This dissertation aims to discover the factors that influence tourists in their decision to visit a black tourism experience. The results obtained, from the analysis of the content generated by users, indicate the concepts most cited by tourists, thus revealing what they value most in black tourism experiences.
Books on the topic "Leximancer"
1
Leximancer. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529775587.
Full textBook chapters on the topic "Leximancer"
1
Watson, Marcus, Andrew Smith, and Scott Watter. "Leximancer Concept Mapping of Patient Case Studies." In Lecture Notes in Computer Science, 1232–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553939_171.
Full text
2
Finneran, Michael. "Language and the Concept of Change: Overview of Leximancer Analysis." In Applied Theatre: Understanding Change, 33–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78178-5_3.
Full text
3
D’Acunto, David, and Serena Volo. "Cultural Traits in the Consumption of Luxury Hotel Services." In Information and Communication Technologies in Tourism 2021, 269–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65785-7_24.
Full textAbstract:
AbstractThis study investigates luxury hotel guests’ online reviews to explore how ratings, language and sentiment differ according to guests’ culture of origin. The study considers three large cultural groups (Asian, North American, and European) examining hotel guests in their reviews to identify the most recurring themes in association with luxury tourism.The study uses automated text analysis to explore 16,415 hotel reviews from 22 luxury hotel brands belonging to nine global hotel chains located across six European cities over a period of 10 years. In particular, this exploratory study combines LIWC, Leximancer and SPSS analytic tools to shed light on: i) the extent luxury hotel guests’ reviews vary in terms of rating, language metrics and sentiment according to reviewers’ culture of origin; ii) the main themes of luxury hotel service discussed by guests, of different cultures of origin, in their reviews.The main findings reveal that Asians guests are particularly analytical when reviewing online and are the less satisfied about their stays in luxury hotels in Europe. North Americans are the most satisfied luxury hotel guests; however, their reviews show low level of sentiment descriptions. Instead, Europeans embed more sentiment when posting a review. The three cultures examined also tend to associate luxury to different attributes.
4
Al-hawari, Maen, and Sanaa Al-halabi. "The Preliminary Investigation of the Factors that Influence the E-Learning Adoption in Higher Education Institutes." In Intelligent Learning Systems and Advancements in Computer-Aided Instruction, 64–74. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-483-3.ch005.
Full textAbstract:
Creativity and high performance in learning processes are the main concerns of educational institutions. E-learning contributes to the creativity and performance of these institutions and reproduces a traditional learning model based primarily on knowledge transfer into more innovative models based on collaborative learning. In this paper, the authors focus on the preliminary investigation of factors that influence e-learning adoption in Jordan. As a pioneer country for e-learning systems in the Middle East, an investigation has been completed for one of Jordan’s universities that has implemented e-learning. Factors are defined through the analysis of unstructured interviews with developers and users of the e-learning systems, and Leximancer content analysis software is used to analyze the interview’s content. Main factors include Internet, legislations, human factors, and Web content.
5
Batra, Yagesh, and Surprise Na. "Understanding the Effect of Features on the Buying Mood of Consumers in the Passenger Vehicle Segment." In Advances in Marketing, Customer Relationship Management, and E-Services, 217–39. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5690-9.ch010.
Full textAbstract:
Indian automobile industry has always been perceived with the notion of mileage sells and nothing else. There has been a lot of study and research on the Indian automobile market, wherein the researchers have worked on the buying behavior in various sectors and segments of the Indian automobile market. These researches include buying and sales trends as per models, fuel efficiency, and moreover, lately these researchers are based on driving forces and key factors affecting the sales of passenger cars in India. For the mix of consumers, the authors targeted a bunch of automobile enthusiasts, some of “status”-based buyers and totally convenience and need-based buyers. Leximancer was used to analyze the result of these interviews, leading to conclusions on the topic. Features being the base of the argument here, the authors looked ahead to find the key factors that change the mind of a buyer and found that even among influencers and purchasing decision, these are features and unique feel of the car.
6
Unnithan, Chandana, Paula M. Swatman, and Jo-Anne Kelder. "Ensuring Privacy of Participants Recruited via Social Media." In Data Analytics in Medicine, 1537–55. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1204-3.ch077.
Full textAbstract:
Researchers worldwide are increasingly looking to recruit research participants via social media (particularly @Facebook and @Twitter) because they appear to offer access to a wider range of research participants and afford inherently convenient tools for recruitment. In Australia, the National Statement on Ethical Conduct in Human Research, together with the federal Privacy law and a number of state-based privacy statutes, provide support and guidance for this novel approach. This article offers a preliminary analysis and discussion of this trend from an Australian perspective, illustrated by an enquiry into the ethical challenges posed by social media-based recruitment, conducted in an Australian university in 2015. Leximancer™ was used as an analytical tool and the content from social media sites used for a small number of research studies conducted up to 2015, taken in conjunction with the various national human research ethics guidelines, offered a means of understanding how ethical challenges of privacy and anonymity can be addressed for responsible social media-based research.
7
Thakur, Anusha. "Impact of Mood of the Millennial Customers on Purchase of Apparels Online." In Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business, 1509–29. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8957-1.ch077.
Full textAbstract:
In today's scenario, the millennials are keen towards the mobile technology wherein they expect to use the best of it in all aspects of their lives. Online channels help the millennials to enhance their shopping experiences by taking a glance at the reviews, ratings, value, and pricing of the products. This can be attributed to the streamlined services coupled with the free trials and delivery, and additional discounts offered by the apps. But, at the same time, how their mood affects their decision is still a question. For instance, if the consumers are in a good mood, they are likely to shop more. However, if they are in a low mood, they might not shop for anything. This study includes the mind and mood analysis of the young millennial consumers while shopping for apparels online. The study will involve in-depth interviews of 21 customers. The analysis will be done through the Leximancer tool. Additionally, this chapter would help the retailers understand the range of mood, which the customers display while purchasing apparels online and accordingly devise their strategies.
8
Thakur, Anusha. "Impact of Mood of the Millennial Customers on Purchase of Apparels Online." In Advances in Marketing, Customer Relationship Management, and E-Services, 240–66. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5690-9.ch011.
Full textAbstract:
In today's scenario, the millennials are keen towards the mobile technology wherein they expect to use the best of it in all aspects of their lives. Online channels help the millennials to enhance their shopping experiences by taking a glance at the reviews, ratings, value, and pricing of the products. This can be attributed to the streamlined services coupled with the free trials and delivery, and additional discounts offered by the apps. But, at the same time, how their mood affects their decision is still a question. For instance, if the consumers are in a good mood, they are likely to shop more. However, if they are in a low mood, they might not shop for anything. This study includes the mind and mood analysis of the young millennial consumers while shopping for apparels online. The study will involve in-depth interviews of 21 customers. The analysis will be done through the Leximancer tool. Additionally, this chapter would help the retailers understand the range of mood, which the customers display while purchasing apparels online and accordingly devise their strategies.
9
Stewart, Cherry, Stefan Horarik, and Keith Wolodko. "Maximising Technology Usage in Research Synthesis of Higher Education Professional Development Research." In Global Challenges and Perspectives in Blended and Distance Learning, 1–16. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3978-2.ch001.
Full textAbstract:
Research synthesis, a systematic accumulation, analysis, and reflection on a full body of relevant empirical evidence related to a particular research question, is a time-consuming and arduous task requiring the inclusion of multiple research points of view in the analysis process. LeximancerTM, lexical analysis, and concept mapping software has provided a method for reducing vast pools of research literature down to highly desirable research literature portions. It is not the authors’ intention to provide an analysis of the documents retrieved for the research synthesis, but rather to articulate a method of content analysis that incorporates the use of technology to assist in the initial steps of a research synthesis. This chapter promotes the use of technology tools to enhance the critical review of evidence-based publications to make the identification of relevant articles more efficient and effective.
Conference papers on the topic "Leximancer"
1
Smith, Andrew E. "Automatic extraction of semantic networks from text using leximancer." In the 2003 Conference of the North American Chapter of the Association for Computational Linguistics. Morristown, NJ, USA: Association for Computational Linguistics, 2003. http://dx.doi.org/10.3115/1073427.1073439.
Full text
2
Potgieter, Andrea, and Chris Rensleigh. "THERE'S A GOOGLE SCHOLAR ALERT FOR THAT: AN INTEGRATIVE REVIEW METHODOLOGY EXPLORING MOBILE APP FEATURES THROUGH LEXIMANCER." In 9th Business & Management Conference, Prague. International Institute of Social and Economic Sciences, 2019. http://dx.doi.org/10.20472/bmc.2019.009.005.
Full text
3
BUŞILĂ, Andreea Valentina, and Nicoleta CRISTACHE. "MANAGING ARTIFICIAL INTELLIGENCE AS A DRIVER FOR FUTURE TOURISM." In International Management Conference. Editura ASE, 2022. http://dx.doi.org/10.24818/imc/2021/05.08.
Full textAbstract:
The present paper aims to emphasize how Artificial Intelligence can be managed in tourism industry in order to create a positive impact. Although everyone tends to believe that Artificial Intelligence is only about robots taking over the world, the purpose of this article is to come up with powerful meanings of the cognitive computing benefits. For instance, Artificial Intelligence encompasses a lot of different types of capabilities which can give us a better information to run the tourism businesses, but also to improve the customer’s experience. To make this study much more significant, we conducted a content analysis based on literature review, within Leximancer computer software, which shows us the most important themes and concepts related to Artificial Intelligence in future tourism.
4
Buzova, Daniela, Silvia Sanz Blas, Cristina Santos Rojo, and Agustín Carrilero Castillo. "Análisis comparativo del discurso sobre Innovación Disruptiva en los medios de comunicación y la literatura académica." In INNODOCT 2020. Valencia: Editorial Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/inn2020.2020.11925.
Full textAbstract:
El presente trabajo tiene por objetivo comparar el discurso sobre el fenómeno de innovación disruptiva en los medios de comunicación con los temas tratados por la investigación académica en este ámbito. Para ello, se ha consultado la base de datos de prensa internacional Factiva, de la cual se han recopilado 865 noticias relacionadas con el tema. Por otro lado, la búsqueda del término “innovación disruptiva” en la Colección Principal de la base de datos ISI Web of Science dio como resultado 161 artículos académicos publicados en el periodo 2004-2019. Para el análisis de contenido se utilizará el programa de minería de texto Leximancer. El estudio pretende contribuir a la literatura analizando cómo los medios de comunicación, en su rol de dinamizadores del debate público y facilitadores de la aceptación de las innovaciones disruptivas describen este fenómeno y si están alineados con los avances en la investigación académica.
5
Buzova, Daniela, Silvia Sanz-Blas, John Cardiff, and Isabel Pérez-Pérez. "Tecnología móvil y educación superior: un análisis temático y de contenido." In INNODOCT 2021. Valencia: Editorial Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/inn2021.2021.13643.
Full textAbstract:
El uso de la tecnología móvil en la enseñanza superior en la última década se ha visto acelerado por la pandemia del covid19. Investigar el uso de diferentes tipos de tecnología móvil con fines didácticos ha sido un tema de continuo interés por parte del mundo académico. Dada la proliferación de estudios en este ámbito, la presente investigación pretende realizar una revisión temática sobre los trabajos académicos publicados en los últimos 20 años en revistas indexadas en las categorías de educación del ISI Web of Science. Dado el gran número de artículos publicados (n=186), se realizó un análisis de contenido temático automatizado mediante el software de minería de textos Leximancer. Los resultados revelaron un aumento considerable del número de artículos publicados en los últimos cinco años. También se identificaron los diez artículos más citados sobre el uso de la tecnología móvil en la enseñanza superior. Los resultados del análisis de contenido temático mostraron la existencia de cuatro grandes temas cubiertos por la investigación existente: (i) la enseñanza, (ii) el aprendizaje, (iii) la intención y (iv) los estudiantes. El artículo también analiza otras vías de investigación.
6
Filipe Rodrigues, Luis, Helena Rodrigues, and Abilio Oliveira. "In Times of Pandemic - How Generation XYZ Looks at Digital Banking." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001742.
Full textAbstract:
The banking industry since pandemic has shifted servicing dramatically from its traditional branches to become far more digitally flexible. Banks rushed to face-lift the front-end look and feel and enable non-essential digital services without asking users their needs. Thus, this bank attitude as greater impact on building a good digital banking customer experience that leads the users to fully adopt digital. To have a clear vision of how banks can stand out to a successful digital transformation we interview 634 digital bank users from the generation XYZ. To find out about the digital banking perceptions of Generation Z (born 1997-2012) , Generation Y (born 1981-1996), and Generation X (born 1965-1980) we perform a qualitative analysis using Leximancer content analysis software to determine differences and characteristics of users' attitudes toward digital banking. The findings highlighted nineteen concepts (transfers, bank, channels, products, digital, availability, anywhere, services, operations, use, account, savings, speed, costs, information, options, price, complex, and market) grouped in eight key themes perceived by users using digital banking channels, namely: transfers, availability, use, speed, information, price, complex and market. The three tags categories generation XYZ result of the presence of highly connected with concepts or independent variables showing prominence between X-generation and availability and services concept, Y-generation, and market, anywhere, bank and operation concepts, Z-generation, and transfers concepts. These results showed that digital bank users are concerned about price, speed of transfers and product information, the anywhere availability of services and operations in the financial market, with some constraints about the complexity of options used to manage their accounts and savings. More the Y-generation (middle age) take more advantage of digital banking to explore bank/financial market and perform operations anywhere, the X-generation (older age) look digital banking mainly for the availability of services and Z-generation (younger age) simple for transfers. This study contributes to understanding the use and preference of digital banking, allowing us to propose a new conceptual model to explain the digital banking usage, helps to identify what is important for each XYZ generation to increase their adoption of digital banking and alerts to the use complex of multiple options that probably are not the main focus to successfully used by this generations. Highlighting the users' perceptions is important for the bank industry to develop digital banking features that align with users' expectations and to increase the success of digital transformation by shifting servicing dramatically from a brick-and-mortar stalwart to become far more business digitally flexible.