D-Index & Metrics Best Publications
Business and Management
UK
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Business and Management D-index 50 Citations 11,135 221 World Ranking 550 National Ranking 88

Research.com Recognitions

Awards & Achievements

2023 - Research.com Business and Management in United Kingdom Leader Award

2022 - Research.com Business and Management in United Kingdom Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Law
  • Marketing
  • The Internet

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.

His most cited work include:

  • Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (336 citations)
  • The unified theory of acceptance and use of technology (UTAUT): a literature review (287 citations)
  • Contemporary Trends and Issues in it Adoption and Diffusion Research (264 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Knowledge management (26.22%)
  • Marketing (24.44%)
  • Government (15.56%)

What were the highlights of his more recent work (between 2015-2021)?

  • Knowledge management (26.22%)
  • Marketing (24.44%)
  • Advertising (7.56%)

In recent papers he was focusing on the following fields of study:

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.

Between 2015 and 2021, his most popular works were:

  • Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (336 citations)
  • An empirical validation of a unified model of electronic government adoption (UMEGA) (226 citations)
  • Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy (164 citations)

In his most recent research, the most cited papers focused on:

  • Law
  • Marketing
  • The Internet

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.

Best Publications

The unified theory of acceptance and use of technology (UTAUT): a literature review

Michael D. Williams;Nripendra P. Rana;Yogesh Kumar Dwivedi.
(2015)

900 Citations

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)

886 Citations

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)

688 Citations

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)

596 Citations

Contemporary Trends and Issues in it Adoption and Diffusion Research

Michael D. Williams;Yogesh Kumar Dwivedi;Banita Lal;Andrew Schwarz.
(2009)

470 Citations

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)

441 Citations

An empirical validation of a unified model of electronic government adoption (UMEGA)

Yogesh Kumar Dwivedi;Nripendra P. Rana;Marijn Janssen;Banita Lal.
(2017)

415 Citations

Exploring consumer adoption of proximity mobile payments

Emma Slade;Michael D Williams;Yogesh Dwivedi;Niall Piercy.
(2015)

337 Citations

Citizens' adoption of an electronic government system: towards a unified view

Nripendra P. Rana;Yogesh K. Dwivedi;Banita Lal;Michael D. Williams.
(2017)

304 Citations

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)

298 Citations

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