Defence Industries Training and Research Institute Journal of Improvement Management 2251-8991 16 4 2023 01 21 Identifying and prioritizing the components of Data driven R&D Management in artificial Intelligence companies Identifying and prioritizing the components of Data driven R&D Management in artificial Intelligence companies 125 156 167406 10.22034/jmi.2023.376699.2876 FA Saleh Achak PhD candidate of Technology Management, Faculty of Management and Economics, Science and Research Unit, Islamic Azad University, Tehran, Iran 0000-0003-0948-426X Reza Radfar Professor, Faculty of Management and Economics, Islamic Azad University Science and Research Branch, Tehran, Iran Abbas Tolouee Ashlaghi Professor, Faculty of Management and Economics, Islamic Azad University Science and Research Branch, Tehran, Iran Abbas Khamseh Associate Professor, Department of Industrial Management, Karaj Branch, Islamic Azad University, Karaj, Iran 0000-0002-1263-919X Journal Article 2022 12 16 Artificial Intelligence is an emerging technology that simulate human intelligence in machines and systems for their application business. Development of artificial intelligence requires extensive R&D activities. Management of R&D in field of AI needs to deploy novel knowledge to formulate and implementation of strategy, assign resources, organize and use of special tools. This paper aims, to identify and prioritize the components of data driven management of R&D in artificial intelligence technology. A hybrid technique was employed to perform the research. In Qualitative part, the literature of topic is reviewed, and 12 experts are interreviewed. Their opinions are analyzed based on grounded theory and 8 axial components were identified. In Quantitative part, by a questionnaire, the opinions of 85 experts of R&D and artificial intelligence were gathered through a questionaire and analyized based on structural equations model. The relvance and validity of the components were confirmed. The found components were weighted and proiritized through SWARA method as: systematic management, resources supplying, capability of big data analytics, supportive policies, infrastructures, data science development, organizational factors and business advantages. Artificial Intelligence is an emerging technology that simulate human intelligence in machines and systems for their application business. Development of artificial intelligence requires extensive R&D activities. Management of R&D in field of AI needs to deploy novel knowledge to formulate and implementation of strategy, assign resources, organize and use of special tools. This paper aims, to identify and prioritize the components of data driven management of R&D in artificial intelligence technology. A hybrid technique was employed to perform the research. In Qualitative part, the literature of topic is reviewed, and 12 experts are interreviewed. Their opinions are analyzed based on grounded theory and 8 axial components were identified. In Quantitative part, by a questionnaire, the opinions of 85 experts of R&D and artificial intelligence were gathered through a questionaire and analyized based on structural equations model. The relvance and validity of the components were confirmed. The found components were weighted and proiritized through SWARA method as: systematic management, resources supplying, capability of big data analytics, supportive policies, infrastructures, data science development, organizational factors and business advantages. https://www.behboodmodiriat.ir/article_167406_a12387d99fc981d169b7a6b302437aed.pdf