Relevant bibliographies by topics / Partial least squares structural equation modeling

Academic literature on the topic 'Partial least squares structural equation modeling'

Author: Grafiati
Published: 18 August 2021
Last updated: 17 February 2022

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Journal articles on the topic "Partial least squares structural equation modeling":

1

F. Hair Jr, Joe, Marko Sarstedt, Lucas Hopkins, and Volker G. Kuppelwieser. "Partial least squares structural equation modeling (PLS-SEM)." European Business Review 26, no. 2 (March 4, 2014): 106–21. http://dx.doi.org/10.1108/ebr-10-2013-0128.

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Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach – In this review article, the authors merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, the authors meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage. Findings – PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with nonnormal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM's methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity. Research limitations/implications – While research on the PLS-SEM method has gained momentum during the last decade, there are ample research opportunities on subjects such as mediation or multigroup analysis, which warrant further attention. Originality/value – This article provides an introduction to PLS-SEM for researchers that have not yet been exposed to the method. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. The cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.
2

Ketchen, David J. "A Primer on Partial Least Squares Structural Equation Modeling." Long Range Planning 46, no. 1-2 (February 2013): 184–85. http://dx.doi.org/10.1016/j.lrp.2013.01.002.

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Ringle, Christian M., Marko Sarstedt, Rebecca Mitchell, and Siegfried P. Gudergan. "Partial least squares structural equation modeling in HRM research." International Journal of Human Resource Management 31, no. 12 (January 7, 2018): 1617–43. http://dx.doi.org/10.1080/09585192.2017.1416655.

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do Valle, Patrícia Oom, and Guy Assaker. "Using Partial Least Squares Structural Equation Modeling in Tourism Research." Journal of Travel Research 55, no. 6 (February 23, 2015): 695–708. http://dx.doi.org/10.1177/0047287515569779.

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Hair, Joseph F., Christian M. Ringle, and Marko Sarstedt. "Partial Least Squares: The Better Approach to Structural Equation Modeling?" Long Range Planning 45, no. 5-6 (October 2012): 312–19. http://dx.doi.org/10.1016/j.lrp.2012.09.011.

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Schermelleh-Engel, Karin, Christina S. Werner, Andreas G. Klein, and Helfried Moosbrugger. "Nonlinear structural equation modeling: is partial least squares an alternative?" AStA Advances in Statistical Analysis 94, no. 2 (May 26, 2010): 167–84. http://dx.doi.org/10.1007/s10182-010-0132-3.

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Ringle, Christian M., Marko Sarstedt, and Rainer Schlittgen. "Genetic algorithm segmentation in partial least squares structural equation modeling." OR Spectrum 36, no. 1 (March 29, 2013): 251–76. http://dx.doi.org/10.1007/s00291-013-0320-0.

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8

Leguina, Adrian. "A primer on partial least squares structural equation modeling (PLS-SEM)." International Journal of Research & Method in Education 38, no. 2 (January 21, 2015): 220–21. http://dx.doi.org/10.1080/1743727x.2015.1005806.

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Sarstedt, Marko, and Jun-Hwa Cheah. "Partial least squares structural equation modeling using SmartPLS: a software review." Journal of Marketing Analytics 7, no. 3 (June 27, 2019): 196–202. http://dx.doi.org/10.1057/s41270-019-00058-3.

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Shiau, Wen-Lung, Marko Sarstedt, and Joseph F. Hair. "Internet research using partial least squares structural equation modeling (PLS-SEM)." Internet Research 29, no. 3 (June 3, 2019): 398–406. http://dx.doi.org/10.1108/intr-10-2018-0447.

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Journal articles Dissertations / Theses

Dissertations / Theses on the topic "Partial least squares structural equation modeling":

1

George, Benjamin Thomas. "Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862733/.

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The current generation of structural equation modeling (SEM) is loosely split in two divergent groups - covariance-based and variance-based structural equation modeling. The relative newness of variance-based SEM has limited the development of techniques that extend its applicability to non-metric data. This study focuses upon the extension of general linear model techniques within the variance-based platform of partial least squares structural equation modeling (PLS-SEM). This modeling procedure receives it name through the iterative PLS‑SEM algorithm's estimates of the coefficients for the partial ordinary least squares regression models in both the measurement model and the overall structural model. This research addresses the following research questions: (1) What are the appropriate measures for data segmentation within PLS‑SEM? (2) What are the appropriate steps for the analysis of rank-ordered path coefficients within PLS‑SEM? and (3) What is an appropriate model selection index for PLS‑SEM? The limited type of data to which PLS-SEM is applicable suggests an opportunity to extend the method for use with different data and as a result a broader number of applications. This study develops and tests several methodologies that are prevalent in the general linear model (GLM). The proposed data segmentation approaches posited and tested through post hoc analysis of structural model. Monte Carlo simulation allows demonstrating the improvement of the proposed model fit indices in comparison to the established indices found within the SEM literature. These posited PLS methods, that are logical transfers of GLM methods, are tested using examples. These tests enable demonstrating the methods and recommending reporting requirements.
2

Yue, Weiping Biotechnology &amp Biomolecular Sciences Faculty of Science UNSW. "Predicting the citation impact of clinical neurology journals using structural equation modeling with partial least squares." Awarded by:University of New South Wales. School of Biotechnology and Biomolecular Sciences, 2004. http://handle.unsw.edu.au/1959.4/20821.

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The ongoing debate on the evaluative role of citation analysis and the theory of citation recognizes that the citation process is complex and that citation counts are affected by certain extra-scientific or external factors. To date, little effort has been made to explore the effects of various external factors; this thesis addresses this lack. In the context of the various perspectives on citations and citation analysis, this study uses journals as the unit of analysis and investigates what, how, and to what extent extra-scientific factors influence the citation impact of journals. An integrated conceptual model of Journal Citation Impact that takes into account current theoretical positions and prior empirical research findings is developed. It addresses the interrelationships between Journal Citation Impact and a range of external factors (Journal Properties, Journal Visibility, Journal Accessibility, Journal Internationality, Journal Selectivity, Journal Promptness, Journal Editorial Prestige, and Perceived Journal Quality). The proposed conceptual model is novel in that it: (1) incorporates nearly all possible external factors that affect Journal Citation Impact; (2) addresses the complex interrelationships between a number of external factors and Journal Citation Impact in one model; (3) regards both Journal Citation Impact and its external factors as theoretical constructs; and (4) identifies the observed variables of the external factors and Journal Citation Impact. However, because of the difficulties in operationalizing all the theoretical constructs, this conceptual model is simplified to an operational model for empirical testing. The operational model includes the construct Journal Citation Impact and four of its external factors, Journal Properties, Journal Accessibility, Journal Internationality, and Perceived Journal Quality. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) is used to test the operational model with empirical data from 41 research journals in clinical neurology. Data are collected from bibliographic database searching, web searching, printed journals, and from a web-based survey that was conducted to obtain information on perceptions of journal quality. Empirical results of the operational model show that Journal Accessibility, Journal Internationality, and Perceived Journal Quality have large, medium, and small effects respectively on Journal Citation Impact, thus indicating that certain extra-scientific factors can influence Journal Citation Impact significantly. The findings suggest that great care should be taken in interpreting and evaluating the results obtained from citation analysis. In terms of Journal Citation Impact, this research also suggests that various journal citation indicators should be ii used to reflect different aspects of citation impact. By exploring the phenomenological domain in the citing process, this exploratory study not only provides a better understanding of citation analysis, it also contributes to the development of the theory of citation. From the methodological perspective, introducing SEM with PLS to Informetrics and Scientometrics also contributes to the knowledge base of these fields. Pragmatically, the research findings will enhance the judgment of researchers and practitioners such as editors, publishers, librarians and other information specialists in assessing journal performance. Finally, the worldwide survey findings on peer assessment of journal outlets in clinical neurology will be useful for researchers, academics or clinicians in this field.
3

McMullen, Mac Jackson. "Contingency Theory| United States Small Business Predictive Performance with Project Management Using Partial Least Squares Structural Equation Modeling." Thesis, Northcentral University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10042193.

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Small business entrepreneurs (SBEs) within the United States in 2014 produced 47% of the national $17.5 trillion GDP and employed 48.5% of the national labor force. Detailed business planning was a theorized predictor of SBE performance and project, program, and portfolio management (P3M) as detailed managerial planning processes influenced by organizational theories. The specific problem was the failure of SBEs due to a lack of business management planning and the unknown generalizable U.S. SBE use of P3M as detailed managerial planning processes to enhance SBE performance. The purpose of this quantitative cross-sectional study was to statistically model U.S. SBE predictive P3M application to SBE Performance within a contingency theory framework using partial least squares structural equation modeling (PLS-SEM), hierarchical component modeling (HCM), and multi-group analysis (MGA-PLS) of subpopulations (growth orientation, number of employees, business age, business location, industry sector, legal form of organization, and P3M maturity). Random anonymous sampling among small business owners and chief managers was used to attain a representative sample by U.S. state using a web-based survey instrument. A sample of 179 was planned (R2 sensitivity of 0.1) and n =150 was attained (R2 sensitivity of 0.107). Sample size was representative of 93.1% of 28.9 million small business enterprises by U.S. state and the District of Columbia. Findings included an average performance efficiency of 59% among U.S. SMEs with room for improvement of 41%. P3M was identified as detailed planning and management processes with a 0.308 total effect on national SBE performance. A 1% improved adaptation of P3M managerial knowledge area processes predicted 18.17% SBE performance improvement. Limitations of the study included data collection barriers from internet service providers (ISPs) and email service providers (ESPs) in censoring and filtering emailed survey invitations contributing to a decreased response rate. Future research recommendations include expanding population ecology theory to identify predictive environmental factors that effect the 59% performance mean resulting in a population of SBEs failing or improving at various S-curve lifecycle stages.

4

Mohd, Jamil J. B. "Partial least squares structural equation modelling with incomplete data : an investigation of the impact of imputation methods." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/5728.

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Despite considerable advances in missing data imputation methods over the last three decades, the problem of missing data remains largely unsolved. Many techniques have emerged in the literature as candidate solutions. These techniques can be categorised into two classes: statistical methods of data imputation and computational intelligence methods of data imputation. Due to the longstanding use of statistical methods in handling missing data problems, it takes quite some time for computational intelligence methods to gain profound attention even though these methods have analogous accuracy, in comparison to other approaches. The merits of both these classes have been discussed at length in the literature, but only limited studies make significant comparison to these classes. This thesis contributes to knowledge by firstly, conducting a comprehensive comparison of standard statistical methods of data imputation, namely, mean substitution (MS), regression imputation (RI), expectation maximization (EM), tree imputation (TI) and multiple imputation (MI) on missing completely at random (MCAR) data sets. Secondly, this study also compares the efficacy of these methods with a computational intelligence method of data imputation, ii namely, a neural network (NN) on missing not at random (MNAR) data sets. The significance difference in performance of the methods is presented. Thirdly, a novel procedure for handling missing data is presented. A hybrid combination of each of these statistical methods with a NN, known here as the post-processing procedure, was adopted to approximate MNAR data sets. Simulation studies for each of these imputation approaches have been conducted to assess the impact of missing values on partial least squares structural equation modelling (PLS-SEM) based on the estimated accuracy of both structural and measurement parameters. The best method to deal with particular missing data mechanisms is highly recognized. Several significant insights were deduced from the simulation results. It was figured that for the problem of MCAR by using statistical methods of data imputation, MI performs better than the other methods for all percentages of missing data. Another unique contribution is found when comparing the results before and after the NN post-processing procedure. This improvement in accuracy may be resulted from the neural network's ability to derive meaning from the imputed data set found by the statistical methods. Based on these results, the NN post-processing procedure is capable to assist MS in producing significant improvement in accuracy of the approximated values. This is a promising result, as MS is the weakest method in this study. This evidence is also informative as MS is often used as the default method available to users of PLS-SEM software.
5

Pick, Mandy Verfasser], and Marko [Gutachter] [Sarstedt. "Selected conceptual and methodological contributions on influencer marketing and partial least squares structural equation modeling / Mandy Pick ; Gutachter: Marko Sarstedt." Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2021. http://nbn-resolving.de/urn:nbn:de:gbv:ma9:1-1981185920-387421.

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6

D\'Emidio, Marcelo. "O valor de marca: uma abordagem de equações estruturais." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/12/12139/tde-15092009-164939/.

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O presente trabalho propõe um procedimento de valoração de marca a partir de uma modelagem por equações estruturais. Este estudo aponta inicialmente um modelo conceitual de valoração de marca baseado na linha comportamental, ou seja, nas percepções dos consumidores e não no valor monetário da marca. Para aplicação do procedimento proposto, foram escolhidas as marcas das operadoras de telefonia celular Vivo e Claro. A partir da modelagem por equações estruturais, ajustou-se o modelo teórico proposto a cada uma das marcas em questão. Com o modelo ajustado foi possível calcular não apenas o valor de marca para cada um dos consumidores, como todas as variáveis que o compõe. A possibilidade de se calcular o valor de marca para cada consumidor é extremamente inovadora, uma vez que nenhum dos modelos revistos na literatura científica aponta esta funcionalidade. Com a base de dados contendo o valor de marca para cada consumidor entrevistado, foi possível efetuar diversas análises estatísticas, que permitiram compreender de forma profunda quais variáveis mais impactam o valor das marcas, ou ainda quais são seus pontos fortes e fracos. Com isto, foi possível desenhar estratégias de marketing específicas para que cada uma das marcas aumente o seu valor.
The present study brings a procedure that measures brand equity using a structural equation modeling. This thesis proposes a conceptual model that measures brand equity based in a behaviorist approach, i.e., based on the consumers perception instead of monetary brand value. To apply this procedure two cellular phone operator brands were chosen: Vivo and Claro, and then, using structural equation modeling, it was possible to adjust the initial theory model to each brand. From the adjusted model it was possible to measure not only brand equity to each consumer, but all variables that are part of it. The possibility to measure brand equity to each consumer is extremely new, once no other models - reviewed in the scientific literature - pointed this feature. Using the database and the brand value to each interviewed consumer it was possible to make statistic analysis that allowed comprehending deeply which variables impact brand equity, or what are their strong and weak points. Then it was possible to make specific marketing strategies to each brand to increase their equity.
7

Jones, Cynthia. "Utilizing the Technology Acceptance Model to Assess Employee Adoption of Information Systems Security Measures." NSUWorks, 2009. http://nsuworks.nova.edu/hsbe_etd/49.

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Companies are increasing their investment in technologies to enable better access to information and to gain a competitive advantage. Global competition is driving companies to reduce costs and enhance productivity, increasing their dependence on information technology. Information is a key asset within an organization and needs to be protected. Expanded connectivity and greater interdependence between companies and consumers has increased the damage potential of a security breach to a company's information systems. Improper unauthorized use of computer systems can create a devastating financial loss even to the point of causing the organization to go out of business. It is critically important to understand what causes users to understand, accept and to follow the organization's information systems security measures so that companies can realize the benefits of their technological investments. In the past several years, computer security breaches have stemmed from insider misuse and abuse of the information systems and non-compliance to the information systems security measures. The purpose of this study was to address the factors that affect employee acceptance of information systems security measures. The Technology Acceptance Model was extended and served as the theoretical framework for this study to examine the factors that affect employee adoption of information systems security measures. The research model included three independent dimensions, perceived ease of use, perceived usefulness and subjective norm. These constructs were hypothesized to predict intention to use information systems security measures, moderated by management support affecting subjective norm. Five hypotheses were posited. A questionnaire was developed to collect data from employees across multiple industry segments to test these hypotheses. Partial least squares statistical methodology was used to analyze the data and to test the hypotheses. The results of the statistical analysis supported three of the five hypotheses with subjective norm and management support showing the strongest effect on intention to use information systems security measures. Few studies have used TAM to study acceptance of systems in a mandatory environment and to specifically examine the employee acceptance of computer information systems security measures. This study, therefore, adds to the body of knowledge. Further, it provides important information for senior management and security professionals across multiple industries regarding the need to develop security policies and processes and to effectively communicate them throughout the organization and to design these measures to promote their use by employees in the organization.
8

Bruce, Helen Louise. "Customer perceived value : reconceptualisation, investigation and measurement." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8586.

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The concept of customer perceived value occupies a prominent position within the strategic agenda of organisations, as firms seek to maximise the value perceived by their customers as arising from their consumption, and to equal or exceed that perceived in relation to competitor propositions. Customer value management is similarly central to the marketing discipline. However, the nature of customer value remains ambiguous and its measurement is typically flawed, due to the poor conceptual foundation upon which previous research endeavours are built. This investigation seeks to address the current poverty of insight regarding the nature and measurement of customer value. The development of a revised conceptual framework synthesises the strengths of previous value conceptualisations while addressing many of their limitations. A multi-dimensional depiction of value arising from customer experience is presented, in which value is conceptualised as arising at both first-order dimension and overall, second-order levels of abstraction. The subsequent operationalisation of this conceptual framework within a two-phase investigation combines qualitative and quantitative methodologies in a study of customer value arising from subscription TV (STV) consumption. Sixty semi-structured interviews with 103 existing STV customers give rise to a multi-dimensional model of value, in which dimensions are categorised as restorative, actualising and hedonic in type, and as arising via individual, reflected or shared modes of perception. The quantitative investigation entails two periods of data collection via questionnaires developed from the qualitative findings, and the gathering of 861 responses, also from existing STV customers. A series of scales with which to measure value dimensions is developed and an index enabling overall perceived value measurement is produced. Contributions to theory of customer value arise in the form of enhanced insights regarding its nature. At the first-order dimension level, the derived dimensions are of specific relevance to the STV industry. However, the empirically derived framework of dimension types and modes of perception has potential applicability in multiple contexts. At the more abstract, second-order level, the findings highlight that value perceptions comprise only a subset of potential dimensions. Evidence is thus presented of the need to consider value at both dimension and overall levels of perception. Contributions to knowledge regarding customer value measurement also arise, as the study produces reliable and valid scales and an index. This latter tool is novel in its formative measurement of value as a second order construct, comprising numerous first-order dimensions of value, rather than quality as incorporated in previously derived measures. This investigation also results in a contribution to theory regarding customer experience through the identification of a series of holistic, discrete, direct and indirect value-generating interactions. Contributions to practice within the STV industry arise as the findings present a solution to the immediate need for enhanced value insight. Contributions to alternative industries are methodological, as this study presents a detailed process through which robust value insight can be derived. Specific methodological recommendations arise in respect of the need for empirically grounded research, an experiential focus and a twostage quantitative methodology.
9

Findik, Duygu. "Development Of A Multi-dimensional Model To Evaluate Higher Education Instructors." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612126/index.pdf.

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Through the rapid expansion of information technologies, Learning Management Systems have become one of the most important innovations for delivery of education. Successful implementation and management of these systems are primarily based on the instructors'
adoption. However, too few researches have been conducted to evaluate instructors&rsquo
adoption towards e-learning system as taking higher education as base. This study aims to understand behavioral intentions of higher education instructors towards Learning Management Systems and further to identify the influencing factors. A research model has been proposed based on the belief variables of the Technology Acceptance Model. Additionally, Application Characteristics, Individual, Social and Technological dimensions were considered to identify the effects of key variables on behavioral intention of users. A survey instrument has been developed and conducted with 224 academicians after a pilot study through its reliability and validity has been assured. Although the items of the survey instrument were based on the literature, an explanatory factor analysis was performed to strictly determine which items belong to which factors. Then, in order to assess the measurement model Convergent validity and Discriminant validity were conducted via confirmatory factor analyses. After the required prior analyses, Component based Structural Equation Modeling (Partial Least Square - PLS) was used to validate the predictive power of the proposed research model. Consequently, relationships between the influencing factors were detected and the results showed that the factors related with Belief dimension directly influenced behavioral intention of instructors. Also, the factors under the Individual, Social and Technological dimensions indirectly affected behavioral intention of users towards learning management system use. Additionally, structured and informal interviews were performed with ten instructors and the findings of the research model were explained with the opinions of system users. The indications of this research will be valuable for implementation, management and continuous improvement of learning management systems.
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Degerli, Mustafa. "Identifying Factors Influencing The Acceptance Of Processes: An Empirical Investigation Using The Structural Equation Modeling Approach." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614321/index.pdf.

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In this research, it was mainly aimed to develop an acceptance model for processes, namely the process acceptance model (PAM). For this purpose, a questionnaire, comprising 3-part and 81-question, was developed to collect quantitative and qualitative data from people having relationships with certain process-focused models and/or standards (CMMI, ISO 15504, ISO 9001, ISO 27001, AQAP-160, AQAP-2110, and/or AS 9100). To revise and refine the questionnaire, expert reviews were ensured, and a pilot study was conducted with 60 usable responses. After reviews, refinements and piloting, the questionnaire was deployed to collect data and in-total 368 usable responses were collected from the people. Here, collected data were screened concerning incorrectly entered data, missing data, outliers and normality, and reliability and validity of the questionnaire were ensured. Partial least squares structural equation modeling (PLS SEM) was applied to develop the PAM. In this context, exploratory and confirmatory factor analyses were applied, and the initial model was estimated and evaluated. The initial model was modified as required by PLS SEM, and confirmatory factor analysis was repeated, and the modified final model was estimated and evaluated. Consequently, the PAM, with 18 factors and their statistically significant relationships, was developed. Furthermore, descriptive statistics and t-tests were applied to discover some interesting, meaningful, and important points to be taken into account regarding the acceptance of processes. Moreover, collected quantitative data were analyzed, and three additional factors were discovered regarding the acceptance of processes. Besides, a checklist to test and/or promote the acceptance of processes was established.
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Books on the topic "Partial least squares structural equation modeling":

1

Avkiran, Necmi K., and Christian M. Ringle, eds. Partial Least Squares Structural Equation Modeling. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6.

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Advanced issues in partial least squares structural equation modeling. SAGE Publications, 2018.

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Hult, G. Tomas M., Joseph F. Jr Hair, Marko Sarstedt, and Christian M. Ringle. Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Incorporated, 2013.

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Hair Jr., Joseph F., Christian M. Ringle, Siegfried P. Gudergan, Julen Castillo Apraiz, Gabriel A. Cepeda Carrión, and José Luis Roldán. Manual avanzado de Partial Least Squares Structural Equation Modeling (PLS-SEM). OmniaScience, 2021. http://dx.doi.org/10.3926/oss.407.

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Este libro es una traducción autorizada por Sage del libro Advanced Issues in Partial Least Squares Structural Equation Modeling. Concebido como una ampliación del Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición)*, esta guía práctica de fácil manejo abarca contenido avanzado de PLS-SEM para ayudar a los estudiantes e investigadores a aplicar técnicas sobre problemas de investigación y a interpretar oportunamente los resultados. El libro aporta un resumen de conceptos básicos antes de centrarse en aspectos más avanzados. Además, ofrece amplios ejemplos del software SmartPLS 3 (www.smartpls.com) y viene acompañado de bases de datos de descarga gratuita. En el libro se subraya la necesidad de aplicar cuidadosamente cualquier enfoque de PLS-SEM para asegurarnos de que éste encaje con el contexto de investigación y las características de los datos. Características clave: · Uso limitado de fórmulas, ecuaciones, símbolos y notaciones similares que hace que se comprendan los conceptos fácilmente. · Disponibilidad de reglas prácticas en cada capítulo que aportan guías concretas de mejores prácticas para aplicar e interpretar PLS-SEM y preparar artículos para su publicación en revistas científicas. · Empleo de un mismo ejemplo y base de datos a lo largo de todo el libro para facilitar la consistencia en los aspectos relacionados con el caso propuesto. · Conjunto de recursos que se pueden descargar de manera gratuita: bases de datos y proyectos de SmartPLS para practicar las técnicas planteadas. · Manual traducido y actualizado con pies de página con los desarrollos más recientes de PLS-SEM. -------- *Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición) Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G., & Roldán, J. L. (2019). Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM). OmniaScience Scholar, Terrassa, Barcelona.
5

A primer on partial least squares structural equation modeling (PLS-SEM) - 2. edición. SAGE Publications, 2017.

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Wong, Ken Kwong. Mastering Partial Least Squares Structural Equation Modeling With Smartpls in 38 Hours. Iuniverse Inc, 2019.

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Avkiran, Necmi K., and Christian M. Ringle. Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance. Springer, 2019.

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Avkiran, Necmi K., and Christian M. Ringle. Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance. Springer, 2018.

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Hair Jr., Joseph F., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Julen Castillo Apraiz, Gabriel A. Cepeda Carrión, and José Luis Roldán. Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición). OmniaScience, 2019. http://dx.doi.org/10.3926/oss.37.

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(Editor), Vincenzo Esposito Vinzi, Wynne W. Chin (Editor), Joerg Henseler (Editor), and Huiwen Wang (Editor), eds. Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Fields (Springer Handbooks of Computational Statistics). Springer, 2008.

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Book chapters on the topic "Partial least squares structural equation modeling":

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Sarstedt, Marko, Christian M. Ringle, and Joseph F. Hair. "Partial Least Squares Structural Equation Modeling." In Handbook of Market Research, 1–40. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-05542-8_15-1.

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Sarstedt, Marko, Christian M. Ringle, and Joseph F. Hair. "Partial Least Squares Structural Equation Modeling." In Handbook of Market Research, 1–47. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-05542-8_15-2.

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Avkiran, Necmi K. "Rise of the Partial Least Squares Structural Equation Modeling: An Application in Banking." In Partial Least Squares Structural Equation Modeling, 1–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_1.

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Ayadurai, Charmele, and Rasol Eskandari. "Bank Soundness: A PLS-SEM Approach." In Partial Least Squares Structural Equation Modeling, 31–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_2.

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Hegner-Kakar, Anne-Kathrin, Nicole F. Richter, and Christian M. Ringle. "The Customer Loyalty Cascade and Its Impact on Profitability in Financial Services." In Partial Least Squares Structural Equation Modeling, 53–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_3.

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Radomir, Lăcrămioara, and Alan Wilson. "Corporate Reputation: The Importance of Service Quality and Relationship Investment." In Partial Least Squares Structural Equation Modeling, 77–123. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_4.

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Rick, Sebastian, and Ralf Jasny. "The Compliance Index Model: Mitigating Compliance Risks by Applying PLS-SEM to Measure the Perceived Effectiveness of Compliance Programs." In Partial Least Squares Structural Equation Modeling, 125–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_5.

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Ramli, Nur Ainna, Hengky Latan, and Gilbert V. Nartea. "Why Should PLS-SEM Be Used Rather Than Regression? Evidence from the Capital Structure Perspective." In Partial Least Squares Structural Equation Modeling, 171–209. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71691-6_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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Carrión, Gabriel Cepeda, Christian Nitzl, and José L. Roldán. "Mediation Analyses in Partial Least Squares Structural Equation Modeling: Guidelines and Empirical Examples." In Partial Least Squares Path Modeling, 173–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64069-3_8.

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Conference papers on the topic "Partial least squares structural equation modeling":

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Zhong-hua, Zhao, and Ju Xiao-feng. "Research of enterprise strategic performance evaluation system based on partial least square-structural equation modeling." In 2011 International Conference on Management Science and Engineering (ICMSE). IEEE, 2011. http://dx.doi.org/10.1109/icmse.2011.6069992.

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Aimran, Ahmad Nazim, Sabri Ahmad, Asyraf Afthanorhan, and Zainudin Awang. "The assessment of the performance of covariance-based structural equation modeling and partial least square path modeling." In THE 3RD ISM INTERNATIONAL STATISTICAL CONFERENCE 2016 (ISM-III): Bringing Professionalism and Prestige in Statistics. Author(s), 2017. http://dx.doi.org/10.1063/1.4982839.

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Fah, Lay Yoon, Ng Khar Thoe, Khoo Chwee Hoon, and Chan Sane Hwui. "EXAMINING THE PSYCHOMETRIC PROPERTIES OF A MALAYSIAN RELEVANCE OF SCIENCE EDUCATION (MROSE) QUESTIONNAIRE USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING (PLS-SEM)." In 3rd International Baltic Symposium on Science and Technology Education (BalticSTE2019). Scientia Socialis Ltd., 2019. http://dx.doi.org/10.33225/balticste/2019.56.

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This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students’ interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal consistency reliability (composite reliability and Cronbach’s Alpha coefficient), convergent validity (Average Variance Extracted), and discriminant validity (cross loadings, Fornell-Larcker criterion, and Heterotrait-Monotrait ratio) for each individual item of the instrument were being assessed. Keywords: affective factor, PLS-SEM, science and technology, relevance of science education (ROSE).
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Mardiana, Novi, Adam Farhansyah, Odi Nurdiawan, Lina Nurhayati, Slamet Risnanto, and Nurwathi. "COVID-19 Website Quality Towards User Satisfaction and Intention To Use Analysis Using Partial Least Square-Structural Equation Modeling." In 2020 14th International Conference on Telecommunication Systems, Services, and Applications (TSSA). IEEE, 2020. http://dx.doi.org/10.1109/tssa51342.2020.9310808.

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Mardiana, Novi, Adam Farhansyah, Odi Nurdiawan, Lina Nurhayati, Slamet Risnanto, and Nurwathi. "COVID-19 Website Quality Towards User Satisfaction and Intention To Use Analysis Using Partial Least Square-Structural Equation Modeling." In 2020 14th International Conference on Telecommunication Systems, Services, and Applications (TSSA). IEEE, 2020. http://dx.doi.org/10.1109/tssa51342.2020.9310808.

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Zhang, Yichi, Daniel W. Apley, and Wei Chen. "A Structural Equation Modeling Based Approach for Identifying Key Descriptors in Microstructural Materials Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47473.

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In design of advanced heterogeneous materials system, microstructures play an important role as a link between processing and material properties. An accurate and efficient representation of material microstructures is necessary. Our prior work applied a supervised ranking algorithm to identify key microstructure descriptors, however the approach falls short in identifying redundancy in descriptors and is not reliable when the training sample size is small. In this paper, we propose a Structural Equation Modeling (SEM) based approach to identify significant microstructure descriptors based on either correlation functions (CF) or material properties, or both. By building a reflective structural model, we are able to deal with high correlations among all candidate descriptors, gain more insights into their relations, and identify latent factors for categorizing microstructure features. The proposed approach begins with an Exploratory Factor Analysis (EFA) for grouping and reducing descriptors to determine the proper structure of microstructure descriptors as indicators of latent factors. The SEM analysis is then applied to identify the key descriptors using the Partial Least Squares (PLS) algorithm. The nanodielectric system with epoxy-nanosilica is used as an example to illustrate and validate the proposed approach. The potential use of identified key microstructure descriptors for optimal design of microstructural materials is discussed.
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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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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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Makkonen, Markus, Tuomas Kari, and Lauri Frank. "This study aims to further promote the understanding of the antecedents of the acceptance and use of digital wellness technologies among elderly people through a follow-up to our two prior studies, one which examines the potential longer-term temporal changes in the use intention of digital wellness technologies and its antecedents in the case of the young elderly segment and physical activity logger applications. We base this examination theoretically on UTAUT2 and empirically on survey data that is collected from 92 Finnish young elderly users of a physical activity logger application in three subsequent time points and analysed with partial least squares structural equation modelling (PLS-SEM). We find that the initial strong decline in the scores of the antecedent constructs and use intention becomes weaker as the construct scores stabilise over time, whereas especially the effects of perA Follow-Up on the Changes in the Use Intention of Digital Wellness Technologies and Its Antecedents Over Time: The Use of Physical Activity Logger Applications Among Young Elderly in Finland." In Digital Support from Crisis to Progressive Change. University of Maribor Press, 2021. http://dx.doi.org/10.18690/978-961-286-485-9.39.

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This study aims to further promote the understanding of the antecedents of the acceptance and use of digital wellness technologies among elderly people through a follow-up to our two prior studies, one which examines the potential longer-term temporal changes in the use intention of digital wellness technologies and its antecedents in the case of the young elderly segment and physical activity logger applications. We base this examination theoretically on UTAUT2 and empirically on survey data that is collected from 92 Finnish young elderly users of a physical activity logger application in three subsequent time points and analysed with partial least squares structural equation modelling (PLS-SEM). We find that the initial strong decline in the scores of the antecedent constructs and use intention becomes weaker as the construct scores stabilise over time, whereas especially the effects of performance expectancy and effort expectancy on use intention remain relatively unstable.
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Subramanian Iyer, Shankar, Arumugam Seetharaman, and Bhanu Ranjan. "Researching Blockchain Technology and its Usefulness in Higher Education." In 2nd International Conference on Machine Learning, IOT and Blockchain (MLIOB 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111203.

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The current paper focuses on the potential of using Blockchain Technology (BCT) in the Higher Education Domain and explores its usefulness in solving Higher Education issues. This research discusses the Blockchain features, challenges and its benefits in education, followed by review of some current Blockchain Higher Education applications. This paper reviews the Blockchain Technology (BCT) and its implementation in Higher Education. This research used a quantitative methodology and stratified clustered simple random sampling approach. Data has been gathered through an online survey instrument and the partial least squares structural equation modelling (PLS-SEM) technique applied to 383 responses. Blockchain technology has its unique features, benefits that can solve Education system requirements, and its successful implementation issues discussed. An effort made to gather enough consensus to build future implementation. The integrated model of Blockchain features matched to the needs of the Education System by agreement of the experts (discussions), and a survey conducted involving the students, teachers, educationists, Blockchain experts, and professionals, is tested and validated by SEM using PLS.

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