Start Global Navigation

  1. Home
  2. About RCAST
  3. Research
  4. Industry-Academia-Government Collaboration
  5. International Collaboration
Research

Start Main Contents

Researcher's Profile

Adviser

Yasunori BABA

RCAST Adviser

E-mail: yasunori.baba.123.gmail.com

Tel: 04-7173-3430

Biography

1977. 03
BA Economics, The University of Tokyo(UTokyo)
Line
1986. 03
D. Phil, University of Sussex, UK.
Line
1986. 07
Research Fellow, Science Policy Research Unit, University of Sussex
Line
1988. 12
Researcher, National Insti tute of Science and Technology Policy(NISTEP), Science and Technology Agency, Japan
Line
1993. 04
Associate Professor, Research into Artifacts, Center for Engineering, UTokyo
Line
1997. 04
Professor, Research into Ar ti facts, Center for Engineering, UTokyo
Line
2001. 07
Professor, Research Center for Advanced Economic Engineering, UTokyo
Line
2004. 04
Professor, RCAST, UTokyo
Line
2007. 04
Professor, Department of Advanced Interdisciplinary Studies, Graduate School Of Engineering, UTokyo
Line
2018. 04
Adviser, RCAST, UTokyo
Line
2018. 04
Professor, Faculty of Economics and Business Administration, REITAKU UNIVERSITY

Research Interests

Empirical Research into Innovation
Current research aims to identify the effect of prevailing academic entrepreneurship on innovation, by firstly asking whether traditional academic scientists or rather entrepreneurial scientists are more likely to contribute to scientific progress, and by secondly asking how academic entrepreneurship affects the scientific norms and forms of sharing scientific resources (for example, material transfer in the life sciences and materials science). Our results indicate that prevailing entrepreneurship can fundamentally change the nature and direction of industrial innovation.

Empirical Research into Dynamic Capabilities
Building on the literature of dynamic capabilities (DC), we analyze the organizational structure of scientific labs that contribute to sustained high-level performance. These capabilities are likely to be generated by the ability to spot scientific opportunities, to pursue those opportunities, and to exploit and re-assign existing resources. We argue that the DC theory provides an important insight into understanding how organizations respond to the noisy signals which come from the environment and preliminary experiments.



Start Site Information

page top

Copyright (c) RCAST, The University of Tokyo