Industrial Development Through Tacit Knowledge Seeding: Evidence from the Bangladesh Garment Industry
Romel Mostafa () and
Steven Klepper
Additional contact information
Romel Mostafa: Ivey Business School, Western University, London, Ontario N6G 0N1, Canada
Management Science, 2018, vol. 64, issue 2, 613-632
Abstract:
We explore how the establishment of an industry pioneer through foreign seeding of industry knowledge can subsequently catalyze the growth of a developing country’s industry by involuntarily propagating the knowledge to subsequent entrants. As industry knowledge has tacit elements, we focus on mechanisms that enable experienced workers from the pioneer to seed the knowledge to new entrants. We examine the relationship between entrants’ characteristics and the mechanisms exploited to access the industry knowledge, and the impact of the mechanisms exploited on firm performance. Empirical findings from two historical episodes in the Bangladesh garment industry suggest that industry knowledge seeding was essential for the initial establishment and subsequent expansion of the industry. Our paper highlights the role of experienced workers’ mobility in building new firm capabilities and provides novel insights into industrialization in developing economies. This paper was accepted by Bruno Cassiman, business strategy.
Keywords: entry; industrial development; tacit knowledge spillover (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
https://doi.org/mnsc.2016.2619 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:64:y:2018:i:2:p:613-632
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().