Resource allocation for open and hidden learning in learning alliances

Autor: Rui-Hua Huang, Xiu-Hao Ding, Dong-Lin Liu
Rok vydání: 2010
Předmět:
Zdroj: Asia Pacific Journal of Management. 29:103-127
ISSN: 1572-9958
0217-4561
DOI: 10.1007/s10490-009-9189-5
Popis: A satisfying relationship between alliance members is important for the success of learning alliances, especially those in the Asia Pacific region. While learning alliances create conditions for firms to leverage each other’s knowledge, firms may be opportunistic and appropriate each other’s knowledge, and firms face a tradeoff because appropriation affects the relationship between alliance members. After reviewing previous studies on knowledge sharing in learning alliances, we differentiate firms’ learning into open and hidden learning, and argue that open learning contributes to competence trust, while hidden learning reduces goodwill trust, which consequently affects open learning. Learning uncertainty, introduced in this study, and learning benefits determine expected payoffs of open and hidden learning, which influence firms’ resource investment in them. This study also finds that behavior and output control are important moderators of the relationships between expected payoffs of open and hidden learning and the resources invested in them. Thus, this study advances our understanding of the tension between cooperation and competition and the learning dynamics in learning alliances. The solution to solving the knowledge sharing dilemma in learning alliances is to promote partners’ open learning and to restrain their hidden learning. Therefore, this study argues that, with open and hidden learning, implementing proper control measures and influencing partners’ learning benefits and uncertainties can settle this dilemma. Furthermore, this study classifies the relationships of learning alliances into four types and gives an explanation of why horizontal learning alliances are usually more competitive than vertical ones.
Databáze: OpenAIRE