The role of co-production networks in organisations’ efforts to enhance the learning curve outcomes

Daegyu Yang, Mooweon Rhee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This study attempts to answer the following questions: What are the potential factors that internally affect the effectiveness of an organisation’s experiential learning, and how do the network characteristics of an organisation influence the impact of those internal factors on that effectiveness? This study examines the automotive engine plants in North America between 1995 and 2006 to suggest two factors that influence the effectiveness of experiential learning: (1) the change in part-time worker ratio and (2) the in-house manufacturing ratio. We also pay attention to the interaction effects of the network properties of engine plants and each internal factor of the effectiveness of learning by doing to examine the influence of the networks in which engine plants are embedded. The network properties of engine plants used in this study are degree centrality and closeness centrality, which are obtained from the engine plants’ production-based networks. The findings show that both the increase in part-time worker ratio and the high in-house manufacturing ratio negatively affect learning outcomes and that those negative effects are mitigated when plants have high centralities in networks.

Original languageEnglish
Pages (from-to)1421-1445
Number of pages25
JournalTotal Quality Management and Business Excellence
Volume28
Issue number11-12
DOIs
Publication statusPublished - 2017 Sep 19

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)

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