ABSTRACT
To explore the possible research fronts and emerging trends of technology foresight, through integrating co-occurrence of keywords and burst terms detection into an improved technique of co-word analysis based on the relevant literature in Web of Science is proposed. Based on the new analytical technique, the links among hot keywords, burst terms are probed, and the core literature related to the emerging trend or interdisciplinary researches are identified. Obviously, the attempts of new bibliometric method in this paper could be a valuable supplement to the traditional co-word analysis; meanwhile, it maybe is much more helpful for those interdisciplinary researchers.
Acknowledgements
I would like to thank the editors and the anonymous referees of TASM for their detailed comments and very helpful advice for this paper.
Disclosure statement
No potential conflict of interest was reported by the author.
Notes on contributor
Munan Li is an associate professor in the School of Business Administration at the South China University of Technology. He is the depute dean of Guangdong Province Key Lab on innovation methods & DMS. He has the certification of MR-TRIZ level 3 and a professional trainer of TRIZ for SMEs. He holds a degree in automation engineering from the North China University of Technology, and an M.Sc. in the control theory & engineering, a PhD in computer science, and a post-doctoral degree in management science from South China University of Technology. His research interests include innovation management, technology strategy, industry clusters and information technology. His works are partly published in Scientometrics, Advances in Mechanical Engineering, Journal of systems engineering and electronics, etc.