G
G. Tomas M. Hult
Researcher at Michigan State University
Publications - 201
Citations - 53453
G. Tomas M. Hult is an academic researcher from Michigan State University. The author has contributed to research in topics: Supply chain & Organizational learning. The author has an hindex of 75, co-authored 198 publications receiving 44889 citations. Previous affiliations of G. Tomas M. Hult include Saint Petersburg State University & University of Memphis.
Papers
More filters
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.
Journal ArticleDOI
Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments
TL;DR: In this paper, the authors report an empirical assessment of a model of service encounters that simultaneously considers the direct effects of quality, satisfaction, and value on consumers' behavioral intentions, and further suggest that indirect effects of the service quality and value constructs enhanced their impact on behavioral intentions.
Posted Content
Innovation, Market Orientation, and Organizational Learning: An Integration and Empirical Examination
TL;DR: In this article, the authors present a conceptual framework for incorporating constructs related to innovation in market orientation research, which is tested among a sample of 9648 employees of a large agency of the U.S. federal government.
Journal ArticleDOI
Innovation, Market Orientation, and Organizational Learning: An Integration and Empirical Examination:
TL;DR: Research on market orientation and organizational learning addresses how organizations adapt to their environments and develop competitive advantage as discussed by the authors. But a significant void exists in current models of market orientation, which is not addressed in this paper.
Journal ArticleDOI
Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)
Jörg Henseler,Jörg Henseler,Theo K. Dijkstra,Marko Sarstedt,Marko Sarstedt,Christian M. Ringle,Christian M. Ringle,Adamantios Diamantopoulos,Detmar W. Straub,David J. Ketchen,Joseph F. Hair,G. Tomas M. Hult,Roger J. Calantone +12 more
TL;DR: In this article, the authors address Ronkko and Evermann's criticisms of the Partial Least Squares (PLS) approach to structural equation modeling and conclude that PLS should continue to be used as an important statistical tool for management and organizational research, as well as other social science disciplines.