What is he best known for?
The fields of study he is best known for:
- Marketing
- Management
- The Internet
James Y.L. Thong mostly deals with Knowledge management, Marketing, Technology acceptance model, Unified theory of acceptance and use of technology and Small business.
His work in Knowledge management addresses issues such as Usability, which are connected to fields such as World Wide Web, Set and Service provider.
His Marketing research is multidisciplinary, incorporating elements of Hedonic motivation, Information and Communications Technology and Explained variation.
The various areas that he examines in his Unified theory of acceptance and use of technology study include Transactional leadership, Quality dimensions and Data science.
His Small business research integrates issues from Poverty, Resource and Technology organization environment.
His work carried out in the field of Poverty brings together such families of science as Quality and Vendor.
His most cited work include:
- Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology (3753 citations)
- An integrated model of information systems adoption in small businesses (1248 citations)
- The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance (758 citations)
What are the main themes of his work throughout his whole career to date?
James Y.L. Thong focuses on Knowledge management, Marketing, Small business, The Internet and Usability.
His Knowledge management research incorporates themes from Agile software development, Quality, Unified theory of acceptance and use of technology and Technology acceptance model.
James Y.L. Thong regularly links together related areas like Information and Communications Technology in his Marketing studies.
James Y.L. Thong has included themes like Poverty, Resource and Vendor in his Small business study.
His The Internet study integrates concerns from other disciplines, such as Recall and Internet privacy.
His Usability study frequently links to other fields, such as Set.
He most often published in these fields:
- Knowledge management (26.62%)
- Marketing (16.55%)
- Small business (12.95%)
What were the highlights of his more recent work (between 2014-2021)?
- Marketing (16.55%)
- Perspective (3.60%)
- Transparency (2.88%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Marketing, Perspective, Transparency, Duration and The Internet.
James Y.L. Thong integrates Marketing with Service management in his study.
His biological study spans a wide range of topics, including Information management and Moderation.
His Personalization research focuses on Public management and how it relates to Knowledge management.
He interconnects Expectancy theory, Information and Communications Technology, Mobile internet and Brand equity in the investigation of issues within Service provider.
The study incorporates disciplines such as Loyalty and Conceptualization in addition to Service.
Between 2014 and 2021, his most popular works were:
- Unified theory of acceptance and use of technology : a synthesis and the road ahead (364 citations)
- Managing Citizens’ Uncertainty in E-Government Services: The Mediating and Moderating Roles of Transparency and Trust (106 citations)
- Winning Back Technology Disadopters: Testing a Technology Readoption Model in the Context of Mobile Internet Services (21 citations)
In his most recent research, the most cited papers focused on:
- Management
- The Internet
- Marketing
The scientist’s investigation covers issues in Unified theory of acceptance and use of technology, Chart, Research context, Quality dimensions and Knowledge management.
His Unified theory of acceptance and use of technology study typically links adjacent topics like Engineering management.
Among his Chart studies, you can observe a synthesis of other disciplines of science such as Management science and Data science.
While working on this project, he studies both Knowledge management and Value.
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.
