Готові списки джерел за темами / Structural Equation Modelling (SME)

Добірка наукової літератури з теми "Structural Equation Modelling (SME)"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Structural Equation Modelling (SME)"

1

Alzeaideen, Khaled. "Construction of Competitive Advantage Instrument in Jordanian SME Context Using Structural Equation Modelling." International Journal of Financial Research 11, no. 1 (October 10, 2019): 236. http://dx.doi.org/10.5430/ijfr.v11n1p236.

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Анотація:
Jordanian SMEs are becoming increasingly hard to endure and thrive in the aggressive entrepreneurial world economy due to weak capital structure, poor leadership and weak marketing strategy, as well as other legislative limitations. As a consequence, Jordan faces problems in achieving full advantage from the SME industry as well, making an inadequate contribution to the domestic GDP. Competitive advantage (CA) can, however, perform a crucial part in achieving fast economic development due to sustainability of SMEs and a coherent appropriate input to Jordan's GDP. But the construction of CA is still underdeveloped and ignores a unifying hypothesis, resulting in fragmented study attempts. In addition, there are now several frameworks for the evaluation and benchmarking of firm performance (FP), but none of these frameworks provide an approach for assessing the competitive advantage of the firm. Therefore, this study aims to explore and determine the dimensionality of items measuring CA construct. The issue has previously been discussed, but there is still no prevalent agreement between scholars as the number of dimensions and items to assess CA should be used. This research investigated the CA measurement items created by past researchers and tailored these items to accommodate the environment of SMEs in Jordan. In this regard, the Delphi technique has been combined by the Structural Equation Modeling (SEM) and also followed the steps of instrument creation developed by Churchill (1979). The primary objective of this research is to develop an instrument capable of assessing CA in Jordanian SME sector. The tool developed in this research provides a relevant and efficient tool that disclosed three aspects by satisfying all the socio-metric properties required by the measuring tool in the social science, namely dimensionality, reliability, and validity.
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2

Zur, RM, S. Aballea, and S. Sherman. "A Validation of Piecewise Structural Equation Modelling (SEM) Compared to Traditional Structural Equation Modelling: A Simulation Study." Value in Health 21 (May 2018): S223—S224. http://dx.doi.org/10.1016/j.jval.2018.04.1512.

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3

Nyuur, Richard B., Ružica Brecic, and Yaw A. Debrah. "SME international innovation and strategic adaptiveness." International Marketing Review 35, no. 2 (April 9, 2018): 280–300. http://dx.doi.org/10.1108/imr-11-2015-0239.

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Анотація:
Purpose The purpose of this paper is to examine the role of small- and medium-sized enterprises’ (SMEs) domestic network structural attributes on their ex post internationalisation strategic innovation and adaptiveness in the host country. Design/methodology/approach The model fit of SME domestic network structural attributes and their ex post international performance was examined using structural equation modelling on data gathered from a sample of 263 SMEs from Croatia, a transition and emerging economy. Hierarchical regression analysis was further performed to test both the direct and moderating effects. Findings The study revealed that domestic network informality (DNF) moderates the link between SME domestic network centrality and their international innovation. Similarly, the findings show that DNF strengthens the negative association between domestic network density and SME international innovation and strategic adaptiveness. Moreover, the study did not find any direct impact of these domestic networks’ structural attributes (density and centrality) on SME international innovation and strategic adaptiveness. Originality/value Scholars have emphasised the importance and urgency for further research attention on the role of networks on SMEs’ internationalisation activities from emerging economies. This study responds to this call, and to the knowledge of the authors, is the first to examine the role of domestic network attributes on SME international performance in emerging economies. The findings provide new insightful contributions to the social network perspective and the international entrepreneurship literatures.
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4

Testa, Mark R. "Structural Equation Modelling in Hospitality Research." Tourism and Hospitality Research 2, no. 1 (April 2000): 67–74. http://dx.doi.org/10.1177/146735840000200110.

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Анотація:
Structural equation modelling (SEM) is a statistical procedure gaining increased attention in psychology, marketing and business research. As few studies in hospitality research utilise this cutting-edge method of modelling and testing linear relationships, this paper seeks to rationalise the implementation of its use. A conceptual and non-technical overview of the process is discussed, identifying the positive and negative aspects of the procedure. In addition, examples of SEM in practice in hospitality research are examined.
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Hidayat, Rachmat, and Patricia Wulandari. "Data Analysis Procedures with Structural Equation Modelling (SEM): Narrative Literature Review." Open Access Indonesia Journal of Social Sciences 5, no. 6 (December 23, 2022): 859–65. http://dx.doi.org/10.37275/oaijss.v5i6.142.

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Анотація:
The relationship between variables in structural equation modeling (SEM) forms a structural model. This structural model can be explained through structural equations, such as in regression analysis. This structural equation describes the prediction of the latent (exogenous) independent variable on the latent (endogenous) dependent variable. Researchers who use analysis with structural equation models need to know whether the model built with empirical data has a unique value or not so that the model can be estimated. If the model does not have a unique value, then the model cannot be identified (unidentified). The cause of a model is categorized as unidentified because the information contained in empirical data is not sufficient to produce a unique solution in calculating model estimation parameters. This literature review aims to describe the process of data analysis using SEM.
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Sinha, Neena, Timcy Sachdeva, and Miklesh Prasad Yadav. "Investigating Relationship between Corporate Social Responsibility and Financial Performance using Structural Equation Modelling." Management and Labour Studies 43, no. 3 (April 12, 2018): 175–91. http://dx.doi.org/10.1177/0258042x18759866.

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Анотація:
The objective of present study is to investigate the relationship between corporate social responsibility (CSR) and financial performance (FP) with the help of a stakeholder approach in the context of small and medium enterprises (SME) industry in Delhi NCR. A sample of 382 SMEs was analysed through a structured questionnaire having 22 statements out of which two statements were removed due to low factor loading. The goodness of fit was measured by AMOS–SEM and relationship between variables was examined by path analysis. The overall model was fit and finding indicated a weak positive relationship between CSR and FP. The results were in conformance with previous research works by Jain, Vyas and Durga (2016) and Weber (2008). It was also observed that SMEs are socially responsible towards their stakeholders, but it is more in informal nature rather than adopting it as a strategy. Further, the results revealed that CSR of SMEs is associated with religious spirit.
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Hidayat, Rachmat, and Patricia Wulandari. "Structural Equation Modelling (SEM) in Research: Narrative Literature Review." Open Access Indonesia Journal of Social Sciences 5, no. 6 (December 21, 2022): 852–58. http://dx.doi.org/10.37275/oaijss.v5i6.141.

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Анотація:
The structural equation modelling (SEM) method has stronger predicting power than path analysis and multiple regression because SEM is able to analyze at the deepest level the variables or constructs studied. This literature review aimed to describe the use of structural equation modelling in research. In general, SEM can be used to analyze research models that have several independent (exogenous) and dependent (endogenous) variables, as well as moderating or intervening variables. SEM provides several benefits and advantages for researchers, including building research models with many variables, examining variables or constructs that cannot be observed or cannot be measured directly (unobserved), testing measurement errors (measurement errors) for observed variables or constructs ( observed) and confirmatory factor analysis. Broadly speaking, SEM methods can be classified into two types, namely covariance-based structural equation modelling (CB-SEM) and variance or component-based SEM (VB-SEM), which includes partial least squares (PLS) and generalized structured component analysis (GSCA). This literature review aimed to describe the use of structural equation modelling in research.
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8

BRINK, TOVE. "GOVERNANCE OF INNOVATION AND GROWTH IN SME NETWORKS." International Journal of Innovation Management 20, no. 03 (March 9, 2016): 1650052. http://dx.doi.org/10.1142/s1363919616500523.

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Анотація:
The aim of this article is to reveal what organising of innovation and growth can be enabled in small and medium-sized enterprise (SME) networks. This is especially interesting for the governance of loosely coupled networks. The research is conducted in the Danish food industry with three food-producing firm networks. The posed hypotheses are tested in a structural equation modelling (SEM) approach with the available data of 60 SMEs. The findings show that the governance of preferred behaviours of SMEs has a considerable significant positive impact on product and systematic innovation, which have a significant impact on growth. Governance of network connections is also found to have a significant positive impact on growth. The findings contribute to an understanding of how both governance of preferred SME behaviour and network connections enable innovation. This study provides SMEs, SME network organisations and policy bodies with an enhanced understanding of governance approaches.
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9

Oke, Ayodeji Emmanuel, and Deji Rufus Ogunsemi. "Structural equation modelling of construction bond administration." Journal of Financial Management of Property and Construction 21, no. 3 (November 7, 2016): 192–211. http://dx.doi.org/10.1108/jfmpc-02-2016-0008.

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Анотація:
Purpose The purpose of this paper is to examine construction bonds, which is a risk management tool for ensuring that projects are delivered successfully, with emphasis on the influence of stakeholders, project characteristics and bonding decision factors. Design/methodology/approach Using case study of completed public building projects, questionnaires were administered on stakeholders that participated in the projects to solicit information on identified issues. Structural equation modelling (SEM) was used to examine relationship among identified factors, and various model selection and validation tests were carried out to arrive at the best-fit model. Findings The final model revealed that type of bond, stakeholders’ influence, project characteristics, risks of bonded projects and bonding decision factors have significant effect on success of bonded construction projects. Of the stakeholders, guarantors and contractors have greater influence on effective administration of bonds. Research limitations/implications The study was limited to Lagos and Ondo states, Nigeria. Data were gathered from clients of public projects, banks and insurance companies (guarantors), as well as contracting, quantity surveying and architectural firms registered with the state governments. This is because of the fact that only such firms can be engaged on projects emanating from the governments. Practical implications To enhance project success, there is a need to adopt construction bond for both public and private projects as against the current practice where it is only mandated for public projects. Originality/value Using SEM, this research examined administration of construction bonds with a view to ascertaining their effects on projects success, thereby providing relevant empirical information for stakeholders for effective administration of construction bond.
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Saputra, Nopriadi, and Maria Grace Herlina. "Double Sided Perspective of Business Resilience: The Rationality and Irrationality of SME Experience." 12th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 12, no. 1 (October 8, 2021): 16. http://dx.doi.org/10.35609/gcbssproceeding.2021.12(16).

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Анотація:
COVID-19 has created a killing field for SME as one of national economics pillars. Business resilience becomes crucial issue. It has stimulated the owner and/or managers of SME to do many things for saving the SME from its bankruptcy rationally and/or irrationally. This study aimed to elaborate business resilience and to test the impact of rational and irrational factors on business resilience. The rational factors consist of: (1) implementation of health protocol in doing business, (2) developing business flexibility, and (4) improving alliance capability. The rational factors consist of (4) enhancing pro-social leadership a (5) conducting workplace spirituality. This study is cross-sectional survey with causal approach for testing five hypothesizes. Convenience method was used as sampling method. This study involved 506 small medium enterprises in Jawa and Sumatera, the two biggest islands in Indonesia. Collected data were structured with PLS based Structural Equation Modelling. Proposed research model was described into second order construct and tested by validity and reliability analysis, measurement model analysis and structural model analysis. Keywords: Resilience, Flexibility, Spirituality, Pro-Social Leadeship
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Дисертації з теми "Structural Equation Modelling (SME)"

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Yoo, Keunyoung. "Probabilistic SEM : an augmentation to classical Structural equation modelling." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/66521.

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Анотація:
Structural equation modelling (SEM) is carried out with the aim of testing hypotheses on the model of the researcher in a quantitative way, using the sampled data. Although SEM has developed in many aspects over the past few decades, there are still numerous advances which can make SEM an even more powerful technique. We propose representing the nal theoretical SEM by a Bayesian Network (BN), which we would like to call a Probabilistic Structural Equation Model (PSEM). With the PSEM, we can take things a step further and conduct inference by explicitly entering evidence into the network and performing di erent types of inferences. Because the direction of the inference is not an issue, various scenarios can be simulated using the BN. The augmentation of SEM with BN provides signi cant contributions to the eld. Firstly, structural learning can mine data for additional causal information which is not necessarily clear when hypothesising causality from theory. Secondly, the inference ability of the BN provides not only insight as mentioned before, but acts as an interactive tool as the `what-if' analysis is dynamic.
Mini Dissertation (MCom)--University of Pretoria, 2018.
Statistics
MCom
Unrestricted
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2

Kurdi, Heba. "The impact of visitors satisfaction in explaining expenditure behaviour : A structural equation modelling approach." Thesis, Högskolan Dalarna, Nationalekonomi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-30030.

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Анотація:
Visitor expenditure can be affected by different economic, socio-demographic and psychological variables. Previous literature have focused on the use of observed tourists and destination characteristics as explanatory variables to explain visitor expenditure, whereas the use of psychological factors has been underresearched. The present study aims to fill in the gap in the existing literature through the exploration of more extensive use of psychological variables. This is accomplished by the use of structural equation modelling (SEM), a methodological approach which seems not to have been applied before in tourism expenditure econometric models. In econometrics expenditure research, Mortazavi (2018) found satisfaction to be an endogenous regressor of expenditure. Hence, the contribution of our model is that it allows for the relationship between visitor satisfaction and visitor expenditure, and vice versa, to be tested simultaneously. Consequently, under this context we may identify the magnitude of one variable impact on another while at the same time accounting for simultaneous relationship between the two paths. The findings of this study go in hand with previous literature and economic theory which have found a positive relationship between visitor satisfaction and visitor expenditure.
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3

Claffey, Austin M. "Metamemory in multiple sclerosis." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/4513.

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The concept of metamemory proposes that supplementary to typically measured memory abilities, memory monitoring and control processes are used to optimise learning. Accurate memory monitoring appears to be underpinned by a range of cognitive, and possibly affective, contributions. In populations with these deficits, metamemory has been shown to be impaired. In Multiple Sclerosis (MS), only a limited metamemory literature exists, surprising given that MS is a leading cause of disability among people of working age, and cognitive and mood disorder is common. Using structural equation modelling, this study of 100 people with MS explored factors contributing to performance on episodic Judgment of Learning, Retrospective Confidence and Feeling of Knowing. Given its negative influence on cognitive domains in MS, the impact of information processing deficits on metamemory was also investigated. Finally, memory self-report, a frequently used clinical indicator of memory functioning, was assessed. Findings suggest that memory complaint is associated with mood, and is unrelated to tested memory. Second, Retrospective Confidence Judgments were predictive of memory performance, even in the presence of memory impairment. Third, an unusual finding of maintained underconfidence at delay was observed in the Judgment of Learning task. Finally, Feeling of Knowing judgments related to executive, but not to memory ability. A novel finding in respect of this judgment was of processing speed relating negatively to accuracy, in the context of executive dysfunction. This suggests that some top-down direction of processing resources may be a factor in supporting accuracy, rather than the speed at which information is processed. Of all the task-based judgments, accuracy in this judgment was the only one with a reliable association with mood. Faster processing speed, executive dysfunction and least depression symptomatology related to low accuracy, perhaps typifying a profile of disinhibition seen in MS, characterised by poorly constrained processing and apparently elevated mood.
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4

Angell, Robert J. "Exploring the grocery store satisfaction of England's older population : an evaluation of antecedents and consequences using structural equation modelling." Thesis, University of Plymouth, 2010. http://hdl.handle.net/10026.1/291.

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Анотація:
The number of people aged 60 years and above is increasing in the UK. In total, this age group represents 22% of the population with estimates indicating a rise to 29% by 2050 (United Nations, 2009). One market sector that is extremely important to the health and wellbeing of older people is grocery retail (Khan, 1981). However, little previous research has addressed how older people rate the service delivered by their grocery provider, particularly in regard to satisfaction. To reconcile this gap in theoretical understanding, a sequential transformative mixed-method research design was specified using 36 qualitative interviews and quantitative questionnaires with 524 subjects. A model including both drivers and consequences of satisfaction was formulated using past research. As such, an antecedent scale for grocery store image was developed via procedures suggested in the extant literature (e.g. DeVellis, 2003). Pre-existing scales (i.e. commitment and loyalty) representing exemplary reliability and validity were borrowed and specified as consequences. The scales were modified and integrated into a ‘structural equation model’. Older people were found to place a high level of importance in aspects of merchandise, store environment, personnel and services. Price/promotions and clientele were found to be insignificant in driving satisfaction. Differences in factor mean scores and structural parameters were then analysed using ‘finite mixture structural equation modelling’ to identify segments of similar respondents (Jedidi et al, 1997). Using posterior probabilities, the emerging segments were subjected to profiling using personal and behavioural variables (Hahn et al, 2002). Market Segmentation showed three groups of similar respondents in the sample population, differing in factor mean scores and psychological operationalisation of satisfaction. Nonetheless, only several differences in personal and behavioural characteristics were found between the segments. Whilst, the results show that segmenting this group is necessary when measuring satisfaction, basing this purely on a priori descriptive variables might be erroneous given the inherent levels of unobserved heterogeneity. The model developed and tested in this study is considered the most up-to-date available in the literature.
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Candy, Ryan David. "Resources, Strategy and Performancein the Smaller Firm." Thesis, University of Canterbury. Management, 2009. http://hdl.handle.net/10092/3522.

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Анотація:
This study investigates the relationship between firm resources, positioning strategies and performance in the smaller firm. Porter’s generic strategies have been useful in describing how firms compete in the marketplace, and the resource based view has shown that resources can lead to a sustained competitive advantage. The strategic management field has begun to combine the two theories and examine the link between them. Small firms must make the best use of their relatively scarce resources. It is proposed that the relationship between resources and performance is contingent upon the positioning strategy the firm competes on, although there has only been limited supporting research to date. This research builds on work by Edelman et al. (2005) by examining the relationship between human, organisational and physical resources, and the strategies of quality/ customer service, innovation, and cost leadership in 447 retail, engineering, and professional service firms in New Zealand. Using Structural Equations Modelling this research finds that positioning strategies are the mechanism by which firms can leverage their resources into higher performance. This relationship can be modelled as mediated or moderated, with statistical analysis sensitive to model complexity. The firm’s environment influences this relationship with different resources required to support each position depending on the industry. Specifically human, organisational, and physical resources appear to be viable sources of competitive advantage when they are leveraged by a strategy of quality/ customer service, innovation or cost leadership when the industry environment is conducive to the resource – strategy combination.
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Pearce, Antony. "Lean thinking and the factors necessary for its success." Thesis, University of Canterbury. Mechanical Engineering, 2014. http://hdl.handle.net/10092/9662.

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Анотація:
Lean management is becoming the standard for systematic productivity improvement, but the majority of implementations fail to sustain. Hence, the critical success factors for lean were the focus of this work. Literature review showed that the causality for lean success was not empirically developed beyond case study contextualisation. A multifaceted work was developed with contextualisation studies, survey of lean knowledge (758 responses), and a comprehensive case-study questionnaire (1253 responses from 44 countries). The statistical methods included exploratory factor analysis and path analysis by structural equation modelling (SEM). The first questionnaire revealed two different understandings of lean, and the second explored the underlying causality for lean success, including contingency for business size and product variety. Many contributions to the body of knowledge issued from this work. First of all, there was a methodological contribution, pioneering explorative structural modelling of full scope lean implementation. Second, SEMs of the lean knowledge-based view showed the profound positive effects of management knowledge on the primary factors for lean success. These factors were shown to be leadership and employee development. Third, the most beneficial lean methods were highlighted for specific scenarios. Fourth, the negligible and negative effects of a consultant-based approach to lean were uncovered. The results showed that the majority of consultants did not aid the long-term performance and sustainability of lean but significantly hindered it, except where masterful consultants acted as coaches. Fifth, a shortage of lean knowledge was observed in New Zealand; their participants averaged only half of what the USA�s did. Sixth, as culture has been emphasised in current literature, the present danger of overly focusing on it was discussed. Seventh was a conceptual contribution integrating lean and risk management, and a practical application with a risk analysis. This developed a risk matrix for the assessment and prioritisation of implementation components. Eighth, some adjustments to government lean strategies were proposed. And finally, the work integrated the findings in a tangible stage process model for implementation in SMEs. The dissemination of this knowledge has the potential to enhance productivity and commercial success of industries in New Zealand and abroad through successful lean implementations. Lean is not a weak methodology but it has been misunderstood and misapplied.
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7

Shirin, Artyom. "Evaluating the effects of corporate reputation on employee engagement." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/23051.

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Анотація:
This study explores the previously less researched impact of corporate reputation on employees, more specifically on employee engagement. Employee engagement and corporate reputation are concepts that have been receiving attention in both business and academia alike, especially in view of the economic turmoil of the past decade as both constructs have been shown to affect profits. The study was designed in a way to measure the impact of employees’ perceptions of corporate reputation on their engagement with the corporation, while controlling for the state of their psychological contract with the organisation. An online survey of 509 employees from a large South African bank provided the data to which a Structural Equation Model (SEM) emanating from the theoretical background was fitted. The results of the model unequivocally confirmed that corporate reputation perceptions are an important predictor of employee engagement. It was also found that psychological contract breach influences both perceptions of reputation by employees and employee engagement directly. The implication is that corporate reputation can have a strong influence on tangible results through employee engagement.
Dissertation (MBA)--University of Pretoria, 2012.
Gordon Institute of Business Science (GIBS)
unrestricted
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Abdul, Ghani Suzaini. "Seam performance : analysis and modelling." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/seam-performance-analysis-and-modelling(da79315f-5f65-4c8d-9715-a7d270d453c8).html.

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Анотація:
Seam quality is affected by various fabric mechanical properties with a combination of their sewing parameters. Previously, a lot of research has been done on identifying the parameters that influencing seam quality by looking into correlation between fabric properties and sewing parameters. The purpose of this current study was to investigate the performance of seam quality in terms of seam appearance and strength constructed with different sewing parameters. Another aim was to identify parameters that influence the seam quality using the Structural Equation Modelling (SEM) by AMOS and leads to the development of multivariable predictive equations using SPSS. Finally, the validation between experimental and predicted results using newly developed equations was examined using a new set of fabrics. The investigation was done for five different fabric categories, namely light, light to medium, medium, medium to heavy and heavy weight. A total of 45 fabrics with different weave densities, fibre types and structures were used. Seams were produced using various sewing parameters such as threads with different fibre types and structures, needle sizes and stitch densities. All fabrics were tested for their mechanical properties using two established items of equipment known as Kawabata Evaluation System for Fabrics (KES-F) and Fabric Assurance by Simple Testing (FAST). Seam evaluations together with thread and fabric mechanical properties obtained from KES-F and FAST were used as input for modelling. From the experimental work, it was concluded that the usage of thicker threads did not always give better strength and the seam appearance was also poor. A combination of finer thread with moderate strength and a medium level of stitch density according to fabric weight category provided an effective result for both seam appearance and strength. From the modelling work, it was found that the extensibility, bending and shearing properties, together with thread properties including extensibility, tensile strength and size, were among the properties selected by SEM to be included in the predictive equations. The validation results showed that the standard deviation between fabric properties used to develop the equations and new fabric properties used for validation plays an important role. The principal conclusion was that the prediction equations developed using SEM and SPSS possible to be used and gave a strong validation between experimental and predicted results when the new fabric properties were within one standard deviation.
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Andrea, Andrea Ximena. "Housing and Homelessness: Two Models of the Relationship Between Quality of Life, Physical Health, and Mental Health." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/31902.

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Анотація:
With the increase in quality of life (QoL) research in recent years and its relationship to physical and mental health, building a model of these relationships is an important pursuit for researchers with the aim of creating targeted social policy and programs. Two studies were designed to test a model of the relationship between quality of life, physical health, and mental health on two different groups in the National-Capital region: a housed sample and a homeless and vulnerably housed sample. Study 1 consisted of 1,339 adults who took part in the 2007-2008 Canadian Community Health Survey and were stably housed in either a rented or owned residence. Study 2 consisted of 395 single adults who participated in the City of Ottawa baseline measure of the Health and Housing in Transition (HHiT) study (Hwang, Aubry, et al., 2011) and were homeless or vulnerably housed. Subjective levels of various physical and mental health indicators were measured for each of the samples, along with subjective quality of life indicators. Of interest in each of the studies was: 1) The effect that physical and mental health factors have on quality of life in each of the samples, and 2) determining if mental health or physical health is a better predictor of quality of life. Structural analysis of the housed sample model resulted in both physical and mental health having a significant positive effect on QoL, although neither physical nor mental health was a better predictor of quality of life. For the homeless and vulnerably housed model, structural analysis determined mental health to have a significant direct positive effect on QoL, while physical health showed a non-significant negative effect. Mental health was determined to be a significantly better predictor of QoL in the homeless and vulnerably housed model, accounting for 30.47 percent of the variance in quality of life. Implications of this research are discussed.
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Chegus, Matthew. "The Influence of Technology on Organizational Performance: The Mediating Effects of Organizational Learning." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37086.

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Анотація:
Organizations depend upon ever greater levels of information technology (IT), such as big data and analytics, a trend which shows no sign of abating. However, not all organizations have benefited from such IT investments, resulting in mixed perceptions on the value of IT. Organizations must be knowledgeable in order to properly utilize IT tools and be able to apply that knowledge to create unique competencies in order to gain sustained advantage from IT investments. Organizational learning (OL) has been proposed as the mechanism to accomplish this task. Existing empirical research demonstrates that OL may indeed act as a mediator for the effect of IT on organizational outcomes. Yet, these studies are not consistent in their conceptualizations of the relationships involved, nor in their definitions and measurement of OL. Many use a descriptive measure of OL despite theory suggesting that a normative measure may be more appropriate. This study aims to address these concerns in a Canadian setting by using structural equation modelling (SEM) to compare the effectiveness of descriptive and normative measures of OL as mediating variables in knowledge-intensive organizations. Survey results support OL as a mediator between IT and organizational performance in addition to normative measures of OL outperforming descriptive measures. Implications for research and practice are discussed.
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Книги з теми "Structural Equation Modelling (SME)"

1

Hanna, Jim. Assessing consumer preference for local independent retailers: An application of structural equation modelling (SEM). (s.l: The Author), 2000.

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Angell, Rob. Learn to Do Structural Equation Modelling (SEM) in SPSS AMOS With Data From the International Sponsorship Study (2016). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526469632.

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Thakkar, Jitesh J. Structural Equation Modelling. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6.

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Jak, Suzanne. Meta-Analytic Structural Equation Modelling. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27174-3.

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Bynner, John. Modelling childhood antecedents of political cynicism using structural equation modelling. London: Social Statistics Research Unit, City University, 1996.

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6

Bhattacharya, Joysankar. Women empowerment as multidimensional capability enhancement: An application of structural-equation-modelling. Kolkata: Institute of Development Studies, 2012.

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7

Jöreskog, K. G. LISREL 8: Structural equation modeling with the SIMPLIS command language. Hillsdale, NJ: Scientific Software International, 1993.

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8

O'Loughlin, Christina. Evaluation of measurement quality in the assessment of health related issues using structural equation modelling techniques. [s.l: The Author], 2000.

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9

Jöreskog, K. G. LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago, Ill: Scientific Software International, 1993.

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10

Hoyle, Rick H. Applications of structural equation modelling in clinical and health psychology research. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0020.

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This chapter discusses applications of structural equation modelling (SEM, or causal modelling) in clinical and health psychology research. It outlines path diagrams, measurement models, structural models, the inclusion of latent variables, validity (factorial and construct), and measurement invariance. Structural hypotheses are also explored, along with caveats for the use of SEM.
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Частини книг з теми "Structural Equation Modelling (SME)"

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Thakkar, Jitesh J. "Technical Aspects of SEM." In Structural Equation Modelling, 13–27. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_2.

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Thakkar, Jitesh J. "Applications of SEM and FAQs." In Structural Equation Modelling, 101–12. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_6.

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Nitzl, Christian. "Management Accounting and Partial Least Squares-Structural Equation Modelling (PLS-SEM): Some Illustrative Examples." In Partial Least Squares Structural Equation Modeling, 211–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_7.

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Cooper, Grant, Tasos Barkatsas, and Rob Strathdee. "The Theory of Planned Behaviour (TPB) in Educational Research using Structural Equation Modelling (SEM)." In Global Learning in the 21st Century, 139–62. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-761-0_9.

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Kabit, M. R., M. M. S. Lee, and N. Zulkiply. "Construct Reliability of Structural Equation Modelling (SEM) Exploratory Factor Analysis for a Distracted Driving Behavior Survey." In Proceedings of AICCE'19, 1665–77. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32816-0_128.

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Ismail, Ahmad Rasdan, Nor Kamilah Makhtar, Raemy Md Zein, Muhamad Mat Noor, Hidayat Hamid, Nurul Husna Che Hassan, Darliana Mohamad, and Nor Kamaliana Khamis. "The Effect of Thermal Towards Human Perception of Malaysian Construction Workers Through Structural Equation Modelling (SEM)." In Human-Centered Technology for a Better Tomorrow, 709–22. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4115-2_57.

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Yang, Yanyun. "Structural equation modelling." In Advanced Research Methods for Applied Psychology, 246–58. Abingdon, Oxon; New York, NY: Routledge, [2018]: Routledge, 2018. http://dx.doi.org/10.4324/9781315517971-24.

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Thakkar, Jitesh J. "Introduction to Structural Equation Modelling." In Structural Equation Modelling, 1–11. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_1.

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Thakkar, Jitesh J. "Procedural Steps in Structural Equation Modelling." In Structural Equation Modelling, 29–34. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_3.

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Thakkar, Jitesh J. "Applications of Structural Equation Modelling with AMOS 21, IBM SPSS." In Structural Equation Modelling, 35–89. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3793-6_4.

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Тези доповідей конференцій з теми "Structural Equation Modelling (SME)"

1

Saabar, Suhaimee Saahar. "Political Information Efficacy And Sense-Making Process: “Structural Equation Modelling” (Sem) Approach." In 7th International Conference on Communication and Media. European Publisher, 2021. http://dx.doi.org/10.15405/epsbs.2021.06.02.23.

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Patel, Ronik Ketankumar, Roya Etminani-Ghasrodashti, Sharareh Kermanshachi, and Mohammadsoroush Tafazzoli. "Exploring Disaster Preparedness and Awareness due to Natural Hazards Using Structural Equation Modelling (SEM)." In Construction Research Congress 2022. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784483985.017.

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Mohammadfam, Iraj, Ahmad Soltanzadeh, Shahram Mahmoudi, and Abbas Moghimbeigi. "P154 Analytical modelling of occupational accidents’ size using structural equation modelling approach (SEM); a field study in big construction industries." In Occupational Health: Think Globally, Act Locally, EPICOH 2016, September 4–7, 2016, Barcelona, Spain. BMJ Publishing Group Ltd, 2016. http://dx.doi.org/10.1136/oemed-2016-103951.471.

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Molwus, Jurbe J., Bilge Erdogan, and Stephen O. Ogunlana. "Sample Size and Model Fit Indices for Structural Equation Modelling (SEM): The Case of Construction Management Research." In International Conference on Construction and Real Estate Management 2013. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413135.032.

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Moufad, Imane, Fouad Jawab, Jabir Arif, and Imane Ibn El Farouk. "Dataset of the factors influencing the urban freight transport performance: A partial least squares-structural equation modelling approach (PLS-SEM)." In 2022 14th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2022. http://dx.doi.org/10.1109/logistiqua55056.2022.9938114.

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Ferrante, Lucrezia, Claudia Venuleo, and Simone Rollo. "PROBLEMATIC INTERNET USE AMONG ADOLESCENTS AND THE VIEW OF CONTEXT: A PLS-STRUCTURAL EQUATION MODEL." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact020.

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"The idea of Internet use as a way to face psychosocial malaise is growing in the scientific literature about Problematic Internet Use (PIU). The present study, assuming the Semiotic Cultural Psycho-social Theory (SCPT) (Salvatore, 2018) as theoretical framework, postulates and emphasizes that the context in which the subject is embedded provide the symbolic resources, which ground the way adolescents perceive, experience, and therefore deal with the material and social world, including the likelihood of using the Internet as a way to facing life problems and difficulties. SCTP adopts the term “Symbolic Universes” (SU) to denote affect-laden assumptions concerning the world which may (or not) promote adaptive responses. Specifically, the present study aimed to test a mediation model in which each Symbolic Universes (i.e. independent variable) is associated with the psychosocial malaise in terms of social anxiety, loneliness, and negative emotions (i.e. mediator variable), which in turn has effects on PIU (i.e. dependent variable). Measures of PIU (GPIUS), symbolic universes (VOC), negative affect (PANAS), social anxiety (IAS), loneliness (ILs) among a total of 764 Southern Italy youths aged from 13 to 19 (mean age =15.05 ± 1.152). A Multiple Correspondence Analysis (MCA) was firstly run to detect SU; a Partial Least Squares Structural Equation Modelling (PLS-SEM) was then performed on R for testing the hypothesized mediation model. The results demonstrated that Symbolic Universes characterized by anomie and unreliability of the social context are associated with adolescents’ PIU though the mediation of social anxiety, loneliness, and negative emotions. Overall, findings suggest that within an anomic and unreliable scenario, PIU might acquire the meaning of a way to face life in an environment that seems meaningless, uncertain, and detrimental. On the plane of intervention, this points to the need for programs that address social and cultural influences in youths’ Internet use."
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Lee, SS, JW Lee, JH Kang, YR Yim, JE Kim, KE Lee, and DJ Park. "287 Risk factors for and components of metabolic syndrome: a structural equation modelling analysis of the quality of life of patients with systemic lupus erythematosus." In LUPUS 2017 & ACA 2017, (12th International Congress on SLE &, 7th Asian Congress on Autoimmunity). Lupus Foundation of America, 2017. http://dx.doi.org/10.1136/lupus-2017-000215.287.

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Kayne, Steve, Njo Anastasia, and Sautma Ronni Basana. "THE INFLUENCE OF NEUROTICISM PERSONALITY TRAITS ON HERDING AND OVERCONFIDENCE IN INVESTMENT DECISION MAKING." In Global Conference on Business and Management Proceedings. Goodwood Conferences, 2022. http://dx.doi.org/10.35912/gcbm.v1i1.9.

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This study is to determine the effect of neuroticism personality trait on stock investment decisions. This study is trying to find how fear and anxiety from the perspective of neuroticism personality trait affect the emergence of herding and overconfidence in investment decision. This study is conducted by distributing questionnaires to 116 millennial stock investors in Indonesia. Structural Equation Modelling (SEM) is used as the data analysis method in this study. This study is using PLS 3.0 to perform data analysis. The result reveal that neuroticism affect herding behavior in stock market. With this study result investor can be aware of biases they commit as a result of their personality.
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Hrubý, Vojtěch. "PLS-SEM OR CB-SEM? THE UTILIZATION OF PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELLING METHOD IN THE RECENT RESEARCH ARTICLES ON THE ENTREPRENEURIAL ORIENTATION OF SMALL AND MEDIUM-SIZED ENTERPRISES." In 16th International Bata Conference for Ph.D. Students and Young Researchers. Tomas Bata University in Zlín, 2020. http://dx.doi.org/10.7441/dokbat.2020.17.

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Li, Rita, Li Herru, Beiqi Tang, and Fung Darren. "Building safety index: Structural Equation Modelling approach." In 24th Annual European Real Estate Society Conference. European Real Estate Society, 2017. http://dx.doi.org/10.15396/eres2017_358.

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