Sectoral resilience through learning in networks and GVCs: A historical perspective on the food-processing and clothing industries in Poland

Yoruk, Deniz E. and Yoruk, Esin and Figueiredo, Paulo N. and Johnston, Andrew (2023) Sectoral resilience through learning in networks and GVCs: A historical perspective on the food-processing and clothing industries in Poland. Technological Forecasting and Social Change, 192. ISSN 0040-1625

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Abstract

This paper investigates how inter-organizational learning in networks and global value chains (GVCs) has contributed to resilience in Poland's food processing and clothing industries. The Polish economy has been widely accepted as resilient since Poland's transition from a planned to a market economy. Through drawing on the regional resilience literature, this paper develops a network-oriented framework of sectoral resilience that integrates network evolution, inter-organizational learning in networks, and the role of history. It uses unique primary data from the period of Poland's abovementioned transition (1989–2001), which is complemented with secondary data on the networking activities of Polish firms in the two abovementioned sectors between 2004 and 2018. In turn, the firms' interactive learning is found to function as an important contributor to their path-dependent network trajectories and resilience. Moreover, knowledge networks and GVCs present different dynamics in terms of their effects on learning and result in uneven sectoral resilience. Learning from knowledge spillovers and by interacting with the co-existence of adaptation- and adaptability-related network characteristics has guided both the studied sectors towards developing short-term adaptive capacity for path-extension and sustainability. Learning from advanced science and technology (S&T) and education regarding exclusive adaptability-related network characteristics has driven Poland's food-processing industry's path-evolving long-term capability to be fully resilient.

Item Type: Article
Identification Number: https://doi.org/10.1016/j.techfore.2023.122535
Dates:
DateEvent
9 March 2023Accepted
5 April 2023Published Online
Uncontrolled Keywords: Networks, Global value chains, Inter-organizational learning, Resilience, Adaptability, Adaptation, Low and medium technology sectors
Subjects: CAH17 - business and management > CAH17-01 - business and management > CAH17-01-02 - business studies
Divisions: Faculty of Business, Law and Social Sciences > Birmingham City Business School
Depositing User: Deniz Yoruk
Date Deposited: 11 Apr 2023 10:58
Last Modified: 11 Apr 2023 10:58
URI: https://www.open-access.bcu.ac.uk/id/eprint/14317

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