Study on Dyadic Partnership and Joint Innovative Performance of R&D alliance in Global Biopharmaceutical Industry: Organizational Learning and Social Exchange Perspectives

博士 === 國立臺灣大學 === 國際企業學研究所 === 101 === .Research and development (R&D) alliance is of great importance among various strategic alliances in high-tech industries, and it has become a vital strategy for many corporations to achieve competitive advantage in international business. Despite more and...

Full description

Bibliographic Details
Main Authors: Chih-Sheng Hsu, 徐之昇
Other Authors: Ching-Sung Wu
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/44919769793324816060
Description
Summary:博士 === 國立臺灣大學 === 國際企業學研究所 === 101 === .Research and development (R&D) alliance is of great importance among various strategic alliances in high-tech industries, and it has become a vital strategy for many corporations to achieve competitive advantage in international business. Despite more and more companies benefited from R&D alliances, however, most of these alliances have failed. How come the high failure rate of R&D alliance happened? Prior researchers have proposed that the partner relationship plays a critical role for the performance of R&D alliance, and further empirical studies were consequently suggested for future research. In response to recent calls for inquiry into the issue regarding the effects of mutual relationships between partners, this dissertation aims to examine the links between partner asymmetries (technological heterogeneity and network resource asymmetry) and innovative performance (speed and quantity) from both economic and social dual perspectives and focusing on global biopharmaceutical industries. The results reveal an inverse U-shaped relationship between technology heterogeneity and innovation speed, a positive linear relationship between network resource asymmetry and innovation speed for 1991-2000 alliances and for BB partner type alliances, as well as an inverse U-shape relationship between network resource asymmetry and innovation quantity. Besides, there are significantly negative moderating effects of time to market on the above linear relations. Finally, this study makes important theoretical and practical contributions to partner selection literature on R&D alliances in the biopharmaceutical industry by highlighting not only the impacts of partner relationships on innovation, but also the moderating effects of product’s stage along the R&D process.