The framework for factors affecting technology transfer for suppliers and buyers of technology in Korea

ABSTRACT

To gain an ongoing competitive advantage over other firms, a firm must acquire new technology to differentiate itself from others. This paper explores the technology transfer of technology for information technology equipment and establishes a comprehensive framework for the factors which affect on-time completion of technology transfer for suppliers and buyers according to technology transfer agreements. The technology transfer process is divided into the categorical stages that take place. Then, experts’ opinions are analysed through analytic hierarchy process to determine the influential factors affecting on-time completion of technology transfer. The results of this study should provide a basis for firms to evaluate on-time completion of technology transfer and a reference for the technology transfer process for both suppliers and buyers.

KEYWORDS:

• IT equipment
• suppliers and buyers
• the framework for factors affecting technology transfer
• technology transfer

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Sangjae Lee is a professor at the college of business administration in Sejong University. He received PhD in Management Information Systems from the Graduate School of management, KAIST. His research interests include decision support systems, electronic commerce, information systems controls, data mining, and IS planning. He published in journals such as Information and Management and Information Processing Management.

Byong Seon Kim is a manager of Korea Electronics Technology Institute (KETI), Korea. His current research focuses on information technology (IT) forecasting and planning, IT convergence, and R&D planning. His research work has been published in some journals.

Youngmin Kim is a Post-Doc in the Department of Engineering Management and Systems Engineering at Missouri University of Science and Technology. He received PhD degree (2015) in the Department of Information and Industrial Engineering at Yonsei University, South Korea. He has submitted some technical articles to major journals and conferences. His research fields are financial information systems, financial engineering, and artificial intelligence applications.

Wanki Kim is an associate professor at Graduate School of MOT at Sogang University, South Korea. He received PhD degree in Information and Industrial Engineering at Yonsei University. He has worked at Korea Electronics Technology Institute. He has submitted some technical articles to major journals and conferences. His research fields are technology forecasting and planning, new technology commercialisation, and R&D planning.

Wonbin Ahn is a PhD candidate in the Department of Information and Industrial Engineering at Yonsei University, South Korea. He has submitted some technical articles to major journals and conferences. His research fields are algorithm trading and artificial intelligence in finance.