Journal ArticleDOI
Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method
Reads0
Chats0
TLDR
FIMIX-PLS offers a means to identify and treat unobserved heterogeneity in PLS-SEM and is particularly useful for determining the number of segments to extract from the data.Abstract:
Purpose – The purpose of this paper is to provide an overview of unobserved heterogeneity in the context of partial least squares structural equation modeling (PLS-SEM), its prevalence and challenges for social science researchers. Part II – in the next issue (European Business Review, Vol. 28 No. 2) – presents a case study, which illustrates how to identify and treat unobserved heterogeneity in PLS-SEM using the finite mixture PLS (FIMIX-PLS) module in the SmartPLS 3 software. Design/methodology/approach – The paper merges literatures from various disciplines, such as management information systems, marketing and statistics, to present a state-of-the-art review of FIMIX-PLS. Based on this review, the paper offers guidelines on how to apply the technique to specific research problems. Findings – FIMIX-PLS offers a means to identify and treat unobserved heterogeneity in PLS-SEM and is particularly useful for determining the number of segments to extract from the data. In the latter respect, prior applicati...read more
Citations
More filters
Journal ArticleDOI
When to use and how to report the results of PLS-SEM
TL;DR: A comprehensive overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting can be found in this paper, where the authors provide an overview of previously and recently proposed metrics as well as rules of thumb for evaluating the research results based on the application of PLSSEM.
Journal ArticleDOI
Structural model robustness checks in PLS-SEM:
Marko Sarstedt,Christian M. Ringle,Jun-Hwa Cheah,Hiram Ting,Ovidiu Ioan Moisescu,Lăcrămioara Radomir +5 more
TL;DR: Partial least squares structural equation modeling (PLS-SEM) has become a standard tool for analyzing complex inter-relationships between observed and latent variables in tourism and numerous other areas as mentioned in this paper.
Journal ArticleDOI
Urban vs. rural destinations: Residents’ perceptions, community participation and support for tourism development
S. Mostafa Rasoolimanesh,Christian M. Ringle,Christian M. Ringle,Mastura Jaafar,Thurasamy Ramayah +4 more
TL;DR: In this paper, the effects of residents' perceptions of the impacts of tourism on community participation and support for tourism development across urban and rural world heritage sites (WHSs) are investigated and compared.
Journal ArticleDOI
Exploring the role of social media in collaborative learning the new domain of learning
TL;DR: The study revealed that online social media used for collaborative learning had a significant impact on interactivity with peers, teachers and online knowledge sharing behaviour, and it would be valuable to mention that use ofOnline social media for collaborativeLearning facilitate students to be more creative, dynamic and research-oriented.
Journal ArticleDOI
Towards a circular economy: An emerging economies context
Nitin Patwa,Uthayasankar Sivarajah,A. Seetharaman,Sabyasachi Sarkar,Kausik Maiti,Kunal Hingorani +5 more
TL;DR: In this paper, the authors investigated the adoption of CE principles among emerging economies as the challenges faced by these economies are generally different in terms of resource availability, varying government policies and consumer behaviour from those of developed economies.
References
More filters
Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Proceedings Article
Information Theory and an Extention of the Maximum Likelihood Principle
TL;DR: The classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion to provide answers to many practical problems of statistical model fitting.
Book ChapterDOI
Information Theory and an Extension of the Maximum Likelihood Principle
TL;DR: In this paper, it is shown that the classical maximum likelihood principle can be considered to be a method of asymptotic realization of an optimum estimate with respect to a very general information theoretic criterion.
Book
A primer on partial least squares structural equation modeling (PLS-SEM)
TL;DR: The Second Edition of this practical guide to partial least squares structural equation modeling is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
Related Papers (5)
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more