What is he best known for?
The fields of study he is best known for:
- Social science
- Marketing
- The Internet
The scientist’s investigation covers issues in Knowledge management, Quality, World Wide Web, The Internet and Domain.
His work carried out in the field of Knowledge management brings together such families of science as Soft systems methodology, Social network analysis, Agile software development, Action research and Data science.
His research in Quality is mostly focused on Information quality.
His World Wide Web study combines topics from a wide range of disciplines, such as Perception and User requirements document.
The The Internet study which covers E-commerce that intersects with Process and Web information system.
The study incorporates disciplines such as Engineering management, Service quality, Quality function deployment, Web site and Voice of the customer in addition to Domain.
His most cited work include:
- An integrative approach to the assessment of e-commerce quality (629 citations)
- An Evaluation of Cyber-Bookshops: The WebQual Method (364 citations)
- An exploration of technical debt (218 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Knowledge management, Quality, Process management, The Internet and World Wide Web.
His Knowledge management study combines topics in areas such as Soft systems methodology, Agile software development, Empirical process, Action research and Agile Unified Process.
His Action research research integrates issues from Business analytics, Analytics and Process.
His Information quality study in the realm of Quality interacts with subjects such as Transparency.
His Information quality research focuses on subjects like Service, which are linked to Web standards and Marketing.
He combines subjects such as Business process and Stakeholder with his study of Process management.
He most often published in these fields:
- Knowledge management (40.12%)
- Quality (17.44%)
- Process management (11.05%)
What were the highlights of his more recent work (between 2014-2021)?
- Business analytics (7.56%)
- Persuasion (6.40%)
- Knowledge management (40.12%)
In recent papers he was focusing on the following fields of study:
Business analytics, Persuasion, Knowledge management, Data science and Analytics are his primary areas of study.
In his research on the topic of Persuasion, Information quality and Argument is strongly related with Prosocial behavior.
His Knowledge management research incorporates themes from Uncertainty reduction theory, Openness to experience, Fuzzy logic, Service provider and Marketing.
Richard Vidgen has included themes like Topic model, Field and Competitive advantage in his Data science study.
The Analytics study combines topics in areas such as Action research, Software analytics and Business intelligence.
His work deals with themes such as Soft systems methodology, Poverty and New business development, Business model, which intersect with Software analytics.
Between 2014 and 2021, his most popular works were:
- Management challenges in creating value from business analytics (141 citations)
- A computational literature review of the technology acceptance model (49 citations)
- Developing a business analytics methodology: A case study in the foodbank sector (28 citations)
In his most recent research, the most cited papers focused on:
- Social science
- Marketing
- The Internet
His primary scientific interests are in Data science, Business analytics, Knowledge management, Analytics and Business intelligence.
His Data science research is multidisciplinary, incorporating perspectives in Topic model, Field, Journal ranking, Use case and Competitive advantage.
His biological study spans a wide range of topics, including restrict, Field and System dynamics.
The study incorporates disciplines such as Service innovation, Fuzzy logic, Service provider, Marketing and Competence in addition to Knowledge management.
His work deals with themes such as Soft systems methodology, Poverty, Business model and Software analytics, which intersect with Analytics.
His Business intelligence research incorporates elements of New business development, Action research, Artifact-centric business process model and Big data.
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