2023 - Research.com Business and Management in United Kingdom Leader Award
2022 - Research.com Business and Management in United Kingdom Leader Award
His primary areas of investigation include Knowledge management, Marketing, Information technology, Government and Structural equation modeling. The concepts of his Knowledge management study are interwoven with issues in E-Government, Identification, Library classification, Meta-analysis and Empirical research. His work often combines Marketing and Technology acceptance model studies.
The Information technology study combines topics in areas such as Soft systems methodology, Variety and Information system. Michael D. Williams has researched Government in several fields, including Variance, Grievance, Public relations and Artificial intelligence. His Structural equation modeling research includes elements of Hedonic motivation, Unified theory of acceptance and use of technology, Self-efficacy and Brand management.
Michael D. Williams mostly deals with Knowledge management, Marketing, Government, Public relations and E-Government. Michael D. Williams interconnects Unified theory of acceptance and use of technology, Information technology and Information system in the investigation of issues within Knowledge management. His Structural equation modeling research extends to the thematically linked field of Unified theory of acceptance and use of technology.
Michael D. Williams has included themes like Empirical research, Data science and Profiling in his Information system study. His work on Consumer behaviour as part of general Marketing research is often related to Risk perception, thus linking different fields of science. His Government study incorporates themes from Information and Communications Technology, Grievance, Corruption and Public administration.
His main research concerns Knowledge management, Marketing, Advertising, Social media and Government. His work investigates the relationship between Knowledge management and topics such as Unified theory of acceptance and use of technology that intersect with problems in Structural equation modeling. His Structural equation modeling research integrates issues from Information system, Moderation and Internet privacy.
His work in Marketing is not limited to one particular discipline; it also encompasses Mobile payment. His Social media research includes themes of State, Resource and Public relations. His Government research includes elements of Regional innovation system, Variance and Expert system.
Michael D. Williams mainly investigates Knowledge management, Risk perception, Marketing, Government and Unified theory of acceptance and use of technology. His Knowledge management study frequently draws connections to adjacent fields such as Information technology. His studies in Information technology integrate themes in fields like Grievance and Information system.
He combines subjects such as Advertising, Resource, Management information systems and State with his study of Marketing. His Government research is multidisciplinary, relying on both Supply chain, Variance and Expert system. As part of one scientific family, he deals mainly with the area of Unified theory of acceptance and use of technology, narrowing it down to issues related to the Structural equation modeling, and often Mobile banking, Self-efficacy and Test.
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.
The unified theory of acceptance and use of technology (UTAUT): a literature review
Michael D. Williams;Nripendra P. Rana;Yogesh Kumar Dwivedi.
(2015)
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model
Yogesh Kumar Dwivedi;Nripendra P. Rana;Anand Jeyaraj;Marc Clement.
(2019)
Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust
Emma L. Slade;Yogesh K. Dwivedi;Niall C. Piercy;Michael D. Williams.
(2015)
Artificial Intelligence (AI) : Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Yogesh K. Dwivedi;Laurie Hughes;Elvira Ismagilova;Gert Aarts.
(2021)
Contemporary Trends and Issues in it Adoption and Diffusion Research
Michael D. Williams;Yogesh Kumar Dwivedi;Banita Lal;Andrew Schwarz.
(2009)
Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy
Ali Abdallah Alalwan;Yogesh Kumar Dwivedi;Nripendra P. Rana;Michael D. Williams.
(2016)
An empirical validation of a unified model of electronic government adoption (UMEGA)
Yogesh Kumar Dwivedi;Nripendra P. Rana;Marijn Janssen;Banita Lal.
(2017)
Exploring consumer adoption of proximity mobile payments
Emma Slade;Michael D Williams;Yogesh Dwivedi;Niall Piercy.
(2015)
Citizens' adoption of an electronic government system: towards a unified view
Nripendra P. Rana;Yogesh K. Dwivedi;Banita Lal;Michael D. Williams.
(2017)
A Meta-analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT)
Yogesh Kumar Dwivedi;Nripendra P. Rana;Hsin Chen;Michael D. Williams.
(2011)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Swansea University
Qatar University
University of Bradford
Aston University
Delft University of Technology
University of Bradford
Concordia University
University of Utah
University of Birmingham
Virginia Tech
Colorado State University
Rice University
Semnan University
Utrecht University
University of Würzburg
University of Toronto
Queen's University Belfast
University of Washington
Emory University
University of Aberdeen
Stanford University
INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Medical University of South Carolina
University of California, San Francisco
University of Ulm
University of Toronto