What is he best known for?
The fields of study he is best known for:
- Law
- Marketing
- Social science
His primary areas of investigation include Knowledge management, Government, Structural equation modeling, Marketing and Context.
Nripendra P. Rana combines subjects such as E-Government, Information technology, Mobile device and Empirical research with his study of Knowledge management.
His Government research incorporates themes from Supply chain, Grievance and Artificial intelligence.
The concepts of his Structural equation modeling study are interwoven with issues in Self-efficacy, Unified theory of acceptance and use of technology and Technology acceptance model.
His studies deal with areas such as Hedonic motivation, Social media and Value as well as Marketing.
His Context study incorporates themes from Developing country and Social cognitive theory.
His most cited work include:
- Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (336 citations)
- Factors influencing adoption of mobile banking by Jordanian bank customers (316 citations)
- Advances in Social Media Research: Past, Present and Future (295 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Context, Knowledge management, Marketing, Government and Public relations.
The various areas that he examines in his Context study include Expectancy theory, Social influence, Social psychology and Developing country.
His Knowledge management research incorporates elements of Information technology, Structural equation modeling, Empirical research, Information system and Process.
His study looks at the relationship between Information system and fields such as Unified theory of acceptance and use of technology, as well as how they intersect with chemical problems.
Nripendra P. Rana has included themes like Social media, Payment, Mobile payment and Advertising in his Marketing study.
His Government research is multidisciplinary, relying on both Information quality, Grievance and Corruption.
He most often published in these fields:
- Context (24.30%)
- Knowledge management (23.36%)
- Marketing (22.90%)
What were the highlights of his more recent work (between 2019-2021)?
- Social media (16.36%)
- Marketing (22.90%)
- Context (24.30%)
In recent papers he was focusing on the following fields of study:
His main research concerns Social media, Marketing, Context, Supply chain and Knowledge management.
His work in the fields of Social media, such as Brand engagement, intersects with other areas such as Consumption.
His research investigates the connection between Marketing and topics such as Social influence that intersect with problems in Grievance, Technology acceptance model, Payment and Mobile payment.
The study incorporates disciplines such as Brand awareness, Government, Expectancy theory and Public relations in addition to Context.
His Supply chain research includes themes of Risk analysis and Industrial organization.
Nripendra P. Rana combines subjects such as Information technology, Information system and Empirical research with his study of Knowledge management.
Between 2019 and 2021, his most popular works were:
- Artificial Intelligence (AI) : Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (163 citations)
- Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life (64 citations)
- The effect of characteristics of source credibility on consumer behaviour: A meta-analysis (50 citations)
In his most recent research, the most cited papers focused on:
- Law
- Social science
- Marketing
The scientist’s investigation covers issues in Social media, Information system, Advertising, Context and Credibility.
His work deals with themes such as Representation, Convolutional neural network, Aggression and Human–computer interaction, which intersect with Social media.
He interconnects Management science, Unified theory of acceptance and use of technology and Project success factors in the investigation of issues within Information system.
His work carried out in the field of Advertising brings together such families of science as Structural equation modeling and Brand engagement.
His Context research is multidisciplinary, incorporating perspectives in Expectancy theory, Mobile payment, Information sharing and Technology acceptance model.
His Marketing study combines topics from a wide range of disciplines, such as Social influence, Qualitative research and Grievance.
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