What is he best known for?
The fields of study he is best known for:
G. Tomas M. Hult focuses on Marketing, Market orientation, Organizational learning, Industrial organization and Structural equation modeling.
G. Tomas M. Hult combines subjects such as Empirical research, Value, Organizational commitment and Conceptualization with his study of Marketing.
His studies deal with areas such as Sample, Competitive advantage and Entrepreneurship as well as Market orientation.
In his work, Multinational corporation is strongly intertwined with Organizational performance, which is a subfield of Organizational learning.
His studies deal with areas such as Supply chain, Supply chain management and Resource as well as Industrial organization.
In Structural equation modeling, G. Tomas M. Hult works on issues like Partial least squares regression, which are connected to Applied mathematics, Artificial intelligence and Estimator.
His most cited work include:
- A primer on partial least squares structural equation modeling (PLS-SEM) (5601 citations)
- Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments (4539 citations)
- Innovation, Market Orientation, and Organizational Learning: An Integration and Empirical Examination: (2692 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Marketing, Industrial organization, Organizational learning, Market orientation and Knowledge management.
His studies in Marketing management, Marketing strategy, Marketing research, Customer satisfaction and Quality are all subfields of Marketing research.
His Customer satisfaction research is multidisciplinary, incorporating perspectives in Customer retention and Loyalty business model.
In his research, Advertising is intimately related to Service, which falls under the overarching field of Quality.
His Industrial organization study combines topics from a wide range of disciplines, such as Supply chain and Strategic management.
His Organizational learning study integrates concerns from other disciplines, such as Multinational corporation, Organizational performance, Organizational commitment and Competitive advantage.
He most often published in these fields:
- Marketing (53.54%)
- Industrial organization (18.18%)
- Organizational learning (12.12%)
What were the highlights of his more recent work (between 2015-2021)?
- Marketing (53.54%)
- Customer satisfaction (8.08%)
- Partial least squares regression (5.56%)
In recent papers he was focusing on the following fields of study:
G. Tomas M. Hult mainly focuses on Marketing, Customer satisfaction, Partial least squares regression, Structural equation modeling and Loyalty business model.
His research on Marketing often connects related topics like Value.
His Customer satisfaction research incorporates elements of Quality, Asset, Customer equity and Diversity.
His study in the fields of Partial least squares path modeling under the domain of Partial least squares regression overlaps with other disciplines such as Component.
His Structural equation modeling study incorporates themes from Omitted-variable bias, Cross-validation, Endogeneity, Instrumental variable and Predictive power.
His study on Loyalty business model also encompasses disciplines like
- Complaint which connect with Product and Service,
- Advertising which connect with Discount points and Service recovery paradox,
- Loyalty which connect with Online and offline.
Between 2015 and 2021, his most popular works were:
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (304 citations)
- Assessing Performance Outcomes in Marketing (229 citations)
- Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling (101 citations)
In his most recent research, the most cited papers focused on:
His primary scientific interests are in Marketing, Partial least squares regression, Structural equation modeling, Value and Customer satisfaction.
G. Tomas M. Hult merges Marketing with Empirical examination in his study.
His Partial least squares regression research is multidisciplinary, incorporating elements of Data mining, Endogeneity, Instrumental variable, Econometrics and Applied mathematics.
His Structural equation modeling research incorporates themes from Omitted-variable bias, Component analysis, Estimator, Mathematical optimization and Factor analysis.
His research integrates issues of Organizational behavior, Strategic management, Compensation, Marketing strategy and Strategy implementation in his study of Value.
His Customer satisfaction study combines topics in areas such as Customer advocacy, Customer delight, Customer retention, Loyalty business model and Customer equity.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
