What is he best known for?
The fields of study he is best known for:
- Law
- Social science
- Management
His main research concerns Knowledge management, Knowledge sharing, Information system, Quality and Guanxi.
His Knowledge management research incorporates themes from Action research, Business process, Group outcomes and Instant messaging.
His studies deal with areas such as Performance measurement, Balanced scorecard, Strategy map, Strategic management and Business model as well as Business process.
Robert M. Davison has researched Knowledge sharing in several fields, including Theory of reasoned action, Personal knowledge management, Transactive memory and Key.
His Information system research integrates issues from Collective efficacy, Conceptual framework and Action.
His Guanxi research is multidisciplinary, relying on both Interactivity, Interpersonal relationship, Harmony and Public relations.
His most cited work include:
- Principles of canonical action research (603 citations)
- The balanced scorecard: a foundation for the strategic management of information systems (471 citations)
- Swift Guanxi in online marketplaces: the role of computer-mediated communication technologies (208 citations)
What are the main themes of his work throughout his whole career to date?
Robert M. Davison mainly investigates Knowledge management, Public relations, Information system, China and Marketing.
His Knowledge management study incorporates themes from Action research, Context and Guanxi.
Public relations is closely attributed to Social media in his research.
Information system connects with themes related to Information technology in his study.
His studies link Developing country with Information technology.
He most often published in these fields:
- Knowledge management (32.11%)
- Public relations (18.35%)
- Information system (15.29%)
What were the highlights of his more recent work (between 2015-2021)?
- Public relations (18.35%)
- Knowledge management (32.11%)
- Information system (15.29%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Public relations, Knowledge management, Information system, Context and Advertising.
His work focuses on many connections between Public relations and other disciplines, such as Social media, that overlap with his field of interest in Social network and China.
His Knowledge management research is multidisciplinary, incorporating elements of Communicative ecology and Guanxi.
His research on Information system frequently links to adjacent areas such as Action research.
His biological study spans a wide range of topics, including Social psychology, Knowledge sharing and Empirical research.
His Advertising study combines topics in areas such as Marketing and Social commerce.
Between 2015 and 2021, his most popular works were:
- Context is king! Considering particularism in research design and reporting (75 citations)
- The influence of peer characteristics and technical features of a social shopping website on a consumers purchase intention (69 citations)
- The role of website quality and social capital in building buyers' loyalty (64 citations)
In his most recent research, the most cited papers focused on:
- Law
- Social science
- Management
Robert M. Davison focuses on Public relations, Context, Knowledge management, Social media and Social capital.
Robert M. Davison has included themes like Transformative learning and Information system in his Public relations study.
The various areas that Robert M. Davison examines in his Information system study include Lateral communication and Digital native.
His study in Context is interdisciplinary in nature, drawing from both Team effectiveness, Social psychology, Empirical research and Cultural diversity.
His Knowledge management study integrates concerns from other disciplines, such as Action research and Communicative ecology.
His study on Social capital also encompasses disciplines like
- E-commerce, Information quality and Quality most often made with reference to Loyalty,
- Marketing which intersects with area such as Social satisfaction.
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.
