Michael D. Williams

304 papers receiving 13.1k citations

Michael D. Williams's Hit Papers

An empirical validation of a unified model of electronic government adoption (UMEGA) 2017 · 449 citations
4490+3+7Years since publication4008001.2k

Peers

Michael D. Williams
Comparison fields: 5 of 211
  • Information Systems and Management 5.4k
  • Marketing 1.6k
  • Hematology 1.9k
  • Management Information Systems 1.2k
  • Organizational Behavior and Human Resource Management 1.1k
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Citations per year

Countries citing papers authored by Michael D. Williams

Since Specialization
Citations

This map shows the geographic impact of Michael D. Williams's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Williams more than expected).

Fields of papers citing papers by Michael D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Williams. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael D. Williams. The network helps show where Michael D. Williams may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael D. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael D. Williams Line = papers co-authored together Michael D. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 324 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model
Hit paper breakdown →
20171258
2
The unified theory of acceptance and use of technology (UTAUT): a literature review
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2015830
3
Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust
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2015695
4
An empirical validation of a unified model of electronic government adoption (UMEGA)
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2017449
5 2007381
6
Consumer adoption of mobile banking in Jordan
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2016372
7 2004340
8
Citizens’ adoption of an electronic government system: towards a unified view
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2015283
9 2009260
10 2014254
11 2006231
12 2015218
13
Adoption of online public grievance redressal system in India: Toward developing a unified view
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2016211
14 2014204
15 2018199
16 2013187
17 1981146
18 2007142
19 2019141
20 2011140

About Michael D. Williams

Michael D. Williams is a scholar working on Information Systems and Management, Sociology and Political Science, Political Science and International Relations, Hematology and Artificial Intelligence, having authored 324 papers that have together received 14.0k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (79 papers), E-Government and Public Services (39 papers), Digital Marketing and Social Media (32 papers), ICT Impact and Policies (27 papers), Hemophilia Treatment and Research (21 papers), Platelet Disorders and Treatments (15 papers), Knowledge Management and Sharing (14 papers) and Organizational and Employee Performance (14 papers). The work is most often cited by research in Information Systems and Management (5.4k citations), Marketing (1.6k citations), Hematology (1.9k citations), Management Information Systems (1.2k citations) and Organizational Behavior and Human Resource Management (1.1k citations). Michael D. Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Yogesh K. Dwivedi, Nripendra P. Rana, Marc Clement, Emma Slade, Banita Lal, Anand Jeyaraj, Niall Piercy, Ali Abdallah Alalwan, Elizabeth Chalmers and Kawaljeet Kaur Kapoor. Their work appears in journals such as Journal of the Association for Information Systems, British Journal of Haematology, Archives of Disease in Childhood, Haemophilia and Information Systems Frontiers.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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