What is he best known for?
The fields of study he is best known for:
- Marketing
- Management
- The Internet
Tugrul U. Daim spends much of his time researching Knowledge management, Renewable energy, Analytic hierarchy process, Environmental economics and Management science.
His studies in Knowledge management integrate themes in fields like Conceptual framework, Services computing, Marketing, Information system and Process.
Tugrul U. Daim combines subjects such as Value and Technology forecasting with his study of Marketing.
His Analytic hierarchy process research is multidisciplinary, relying on both Computer security, Emerging technologies and Process management.
Tugrul U. Daim has included themes like Scenario analysis, Scenario planning, Technology management, Business decision mapping and Operations research in his Management science study.
His work carried out in the field of Scenario planning brings together such families of science as Bibliometrics, Data science and System dynamics.
His most cited work include:
- Forecasting emerging technologies: Use of bibliometrics and patent analysis (672 citations)
- A review of scenario planning (378 citations)
- Using artificial neural network models in stock market index prediction (378 citations)
What are the main themes of his work throughout his whole career to date?
Tugrul U. Daim mainly investigates Knowledge management, Technology management, Marketing, Engineering management and Decision model.
His studies deal with areas such as Health care, Service, Process and Technology acceptance model as well as Knowledge management.
His Marketing study frequently draws connections between adjacent fields such as Industrial organization.
His Engineering management study often links to related topics such as Technology roadmap.
His Decision model research is multidisciplinary, incorporating elements of Technology assessment and Analytic hierarchy process.
His research brings together the fields of Environmental economics and Technology assessment.
He most often published in these fields:
- Knowledge management (22.20%)
- Technology management (13.39%)
- Marketing (14.41%)
What were the highlights of his more recent work (between 2019-2021)?
- Personal transformation (12.20%)
- Knowledge management (22.20%)
- Process management (11.19%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Personal transformation, Knowledge management, Process management, Decision model and Organizational transformation.
The various areas that Tugrul U. Daim examines in his Knowledge management study include Technology intelligence and Unified theory of acceptance and use of technology.
His research integrates issues of Project portfolio management, Emergency management and Innovation management in his study of Process management.
His research in Decision model intersects with topics in Leverage, Categorization and Big data.
His Organizational transformation study incorporates themes from Management science and Industrial organization.
Many of his studies on Home automation apply to Engineering management as well.
Between 2019 and 2021, his most popular works were:
- The role of management support for the implementation of open innovation practices in firms (7 citations)
- The role of management support for the implementation of open innovation practices in firms (7 citations)
- Technology Adoption in Emerging Regions: Case of the Smartphone in Saudi Arabia (6 citations)
In his most recent research, the most cited papers focused on:
- Marketing
- Management
- The Internet
Tugrul U. Daim mainly focuses on Knowledge management, Data science, Unified theory of acceptance and use of technology, Decision model and Usability.
His work deals with themes such as Action research and Specialization, which intersect with Knowledge management.
His biological study spans a wide range of topics, including Topic model, Latent Dirichlet allocation, Field and Technology life cycle.
The concepts of his Unified theory of acceptance and use of technology study are interwoven with issues in Structural equation modeling and Service delivery framework.
His Decision model research incorporates elements of Categorization, Leverage and Big data.
His Usability study incorporates themes from Quality, User experience design, Applied psychology and Augmented reality.
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