LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

The effects of networks and autonomy on foreign-owned subsidiary competence development in Taiwan

Photo from wikipedia

Purpose The purpose of this paper is to investigate the role of networks and autonomy in competence development of foreign-owned subsidiaries (FOS) located in Taiwan. Design/methodology/approach Survey data have been… Click to show full abstract

Purpose The purpose of this paper is to investigate the role of networks and autonomy in competence development of foreign-owned subsidiaries (FOS) located in Taiwan. Design/methodology/approach Survey data have been collected from FOS located in the mid-range emerging economy of Taiwan and analysed using structured equation modelling and fuzzy set qualitative comparative analysis (fsQCA) techniques. Findings The results show that decision-making autonomy and intra-organisational networks are important factors for primary and support competence development. However, by using fsQCA technique the authors also show that many subsidiaries differ from that main pattern. For instance, local business and non-business networks can also contribute to primary competence development, but only in high autonomy subsidiaries. Originality/value The originality of this paper lies in the detailed investigation of how fine grained network relationship strengths (intra-, business-, non-business local networks) affect different levels of subsidiary competencies (primary and support activities). The authors also provide novelty in applying a combination of symmetric (structural-equation modelling – partial least squared) and non-symmetric (fsQCA) analytical techniques.

Keywords: competence; networks autonomy; foreign owned; competence development; taiwan

Journal Title: International Journal of Emerging Markets
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.