G Tomas M Hult
Biographic Data
| ID | 1655277 |
|---|---|
| NAME | G Tomas M Hult |
| GIVEN NAMES | G Tomas M |
| FAMILY NAME | Hult |
| SIGNATURE | HULT G T M |
| AFFILIATIONS | Michigan State University |
| ORCID | 0000-0003-1728-7856 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Does it matter who “toots the horn” on Facebook and X? The differential effects of owned and earned social media on customers’ perceptions of firms
Purpose This study investigates how firms’ social media strategies, including firm-initiated owned social media (OSM) and customer-generated earned social media (ESM) content, affect customer perceptions of quality, value and satisfaction. By analyzing sentiment across millions of social media posts and linking them to customer mindset data, we aim to provide insights for optimizing social media engagement and enhancing customer outcomes. Design/…
Partisan bias and citizen satisfaction, confidence, and trust in the U.S. Federal Government
While the U.S. federal government has adopted myriad initiatives mandating collection of citizen evaluations of its services, scant research exists into how prior biases such as those arising from political partisanship affect these performance metrics. In this study, we examine a multi-year sample asking U.S. citizens about their experiences with federal government services (n = 8,341). Guided by motivated reasoning theory, the results show that…
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Prediction
Management researchers often develop theories and policies that are forward‐looking. The prospective outlook of predictive modeling, where a model predicts unseen or new data, can complement the retrospective nature of causal‐explanatory modeling that dominates the field. Partial least squares (PLS) path modeling is an excellent tool for building theories that offer both explanation and prediction. A limitation of PLS, however, is the lack of a s…
Evaluation of Reflective Measurement Models
The goal of reflective measurement model assessment is to ensure the reliability and validity of the construct measures and therefore provides support for the suitability of their inclusion in the path model. This chapter introduces the key criteria that are relevant in reflective measurement model assessment: indicator reliability, internal consistency reliability (Cronbach’s alpha, reliability coefficient rho A , and composite reliability rho C…
An Introduction to Structural Equation Modeling
Structural equation modeling is a multivariate data analysis method for analyzing complex relationships among constructs and indicators. To estimate structural equation models, researchers generally draw on two methods: covariance-based SEM (CB-SEM) and partial least squares SEM (PLS-SEM). Whereas CB-SEM is primarily used to confirm theories, PLS represents a causal–predictive approach to SEM that emphasizes prediction in estimating models, whose…
The theoretical evolution and use of the Uppsala Model of internationalization in the international business ecosystem
Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición)
Este libro es una traducción autorizada por Sage del libro A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) 2nd edition . Una guía práctica y accesible para el uso de PLS-SEM para los investigadores en ciencias sociales. Con ejemplos de utilización del programa SmartPLS, el software básico que se usa en la modelización de ecuaciones estructurales partial least squares (PLS-SEM), esta guía práctica proporciona instrucciones…
Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling
Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression analysis applications. This lack of attention is surprising because the PLS-SEM method is grounded in regression analysis, for which numerous approaches for handling endogeneity have been proposed. …
Partial Least Squares Strukturgleichungsmodellierung
Die Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM) hat sich in der wirtschafts- und sozialwissenschaftlichen Forschung als geeignetes Verfahren zur Schätzung von Kausalmodellen behauptet. Dank der Anwenderfreundlichkeit des Verfahrens und der vorhandenen Software ist es inzwischen auch in der Praxis etabliert.
Mirror, mirror on the wall
Common Beliefs and Reality About PLS
This article addresses Rönkkö and Evermann’s criticisms of the partial least squares (PLS) approach to structural equation modeling. We contend that the alleged shortcomings of PLS are not due to problems with the technique, but instead to three problems with Rönkkö and Evermann’s study: (a) the adherence to the common factor model, (b) a very limited simulation designs, and (c) overstretched generalizations of their findings. Whereas Rönkkö and …
Innovativeness
Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments
Validating Cluster Assignments
In the absence of a statistically based assessment of cluster assignments of observations in terms of their similarity along selected variables the validity of a set of clusters could be developed if clusters withstand both empirical scrutiny and "make sense" to expert informants
Corporate Citizenship
Innovation, Market Orientation, and Organizational Learning
Research on market orientation and organizational learning addresses how organizations adapt to their environments and develop competitive advantage. A significant void exists in current models of market orientation because none of the frameworks incorporates constructs related to innovation. The authors present a conceptual framework for incorporating constructs that pertain to innovation in market orientation research. Some of the critical rela…
No prominent works on this page.
Innovation, Market Orientation, and Organizational Learning
Research on market orientation and organizational learning addresses how organizations adapt to their environments and develop competitive advantage. A significant void exists in current models of market orientation because none of the frameworks incorporates constructs related to innovation. The authors present a conceptual framework for incorporating constructs that pertain to innovation in market orientation research. Some of the critical rela…
Corporate Citizenship
Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments
Validating Cluster Assignments
In the absence of a statistically based assessment of cluster assignments of observations in terms of their similarity along selected variables the validity of a set of clusters could be developed if clusters withstand both empirical scrutiny and "make sense" to expert informants
Innovativeness
Common Beliefs and Reality About PLS
This article addresses Rönkkö and Evermann’s criticisms of the partial least squares (PLS) approach to structural equation modeling. We contend that the alleged shortcomings of PLS are not due to problems with the technique, but instead to three problems with Rönkkö and Evermann’s study: (a) the adherence to the common factor model, (b) a very limited simulation designs, and (c) overstretched generalizations of their findings. Whereas Rönkkö and …
Partial Least Squares Strukturgleichungsmodellierung
Die Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM) hat sich in der wirtschafts- und sozialwissenschaftlichen Forschung als geeignetes Verfahren zur Schätzung von Kausalmodellen behauptet. Dank der Anwenderfreundlichkeit des Verfahrens und der vorhandenen Software ist es inzwischen auch in der Praxis etabliert.
Mirror, mirror on the wall
Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling
Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression analysis applications. This lack of attention is surprising because the PLS-SEM method is grounded in regression analysis, for which numerous approaches for handling endogeneity have been proposed. …
Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (Segunda Edición)
Este libro es una traducción autorizada por Sage del libro A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) 2nd edition . Una guía práctica y accesible para el uso de PLS-SEM para los investigadores en ciencias sociales. Con ejemplos de utilización del programa SmartPLS, el software básico que se usa en la modelización de ecuaciones estructurales partial least squares (PLS-SEM), esta guía práctica proporciona instrucciones…
The theoretical evolution and use of the Uppsala Model of internationalization in the international business ecosystem
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Prediction
Management researchers often develop theories and policies that are forward‐looking. The prospective outlook of predictive modeling, where a model predicts unseen or new data, can complement the retrospective nature of causal‐explanatory modeling that dominates the field. Partial least squares (PLS) path modeling is an excellent tool for building theories that offer both explanation and prediction. A limitation of PLS, however, is the lack of a s…
Evaluation of Reflective Measurement Models
The goal of reflective measurement model assessment is to ensure the reliability and validity of the construct measures and therefore provides support for the suitability of their inclusion in the path model. This chapter introduces the key criteria that are relevant in reflective measurement model assessment: indicator reliability, internal consistency reliability (Cronbach’s alpha, reliability coefficient rho A , and composite reliability rho C…
An Introduction to Structural Equation Modeling
Structural equation modeling is a multivariate data analysis method for analyzing complex relationships among constructs and indicators. To estimate structural equation models, researchers generally draw on two methods: covariance-based SEM (CB-SEM) and partial least squares SEM (PLS-SEM). Whereas CB-SEM is primarily used to confirm theories, PLS represents a causal–predictive approach to SEM that emphasizes prediction in estimating models, whose…
Partisan bias and citizen satisfaction, confidence, and trust in the U.S. Federal Government
While the U.S. federal government has adopted myriad initiatives mandating collection of citizen evaluations of its services, scant research exists into how prior biases such as those arising from political partisanship affect these performance metrics. In this study, we examine a multi-year sample asking U.S. citizens about their experiences with federal government services (n = 8,341). Guided by motivated reasoning theory, the results show that…
Does it matter who “toots the horn” on Facebook and X? The differential effects of owned and earned social media on customers’ perceptions of firms
Purpose This study investigates how firms’ social media strategies, including firm-initiated owned social media (OSM) and customer-generated earned social media (ESM) content, affect customer perceptions of quality, value and satisfaction. By analyzing sentiment across millions of social media posts and linking them to customer mindset data, we aim to provide insights for optimizing social media engagement and enhancing customer outcomes. Design/…
Computer Science (9 works) · Mathematics (8 works) · Statistics (7 works) · Customer Service Quality and Loyalty (6 works) · Partial least squares regression (6 works) · Psychology (5 works) · Structural equation modeling (5 works) · Business (4 works) · Econometrics (4 works) · Marketing (4 works)