Title: Managing alliance configuration and dyadic learning performance in coopetition
Authors: Rangga Almahendra; Ria Aulia
Addresses: Faculty of Economics and Business, Universitas Gadjah Mada, Yogyakarta, Indonesia ' Faculty of Economic, Pamulang University, Jawa Barat, Indonesia
Abstract: Firms decide to form global alliances to seek new knowledge and innovation from different sources, even from their competitors. However, the mechanism for managing both cooperation and competition in these knowledge-seeking alliances are much less understood. This research is intended to disentangle the learning race phenomenon in an alliance of two competing companies. We raise questions on how firms could reconcile the dilemma between cooperation and competition and what is the best configuration for an alliance portfolio that contributes to a dyadic learning performance in coopetition. We tested the hypothesis with 680 samples from 136 firms in the biotech industry from 1998-2002. The results supported all the hypotheses as follows: strong ties have an inverted U-shaped effect on specific learning capability gap (SLCG) and the technological diversity has a role in reversing the relationship between the strong ties and SLCG which previously was seen as an inverted U-shape, but became U-shaped.
Keywords: learning race; coopetition; alliance; technological diversity.
International Journal of Business and Globalisation, 2019 Vol.23 No.2, pp.250 - 271
Received: 09 Dec 2016
Accepted: 04 Oct 2017
Published online: 27 Sep 2019 *