Data strategies for global value chains: Hybridization of small and big data in the aftermath of COVID-19

Rengarajan, Srinath, Narayanamurthy, Gopalakrishnan ORCID: 0000-0002-3119-5248, Moser, Roger and Pereira, Vijay (2022) Data strategies for global value chains: Hybridization of small and big data in the aftermath of COVID-19 JOURNAL OF BUSINESS RESEARCH, 144. pp. 776-787. ISSN 0148-2963, 1873-7978

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Abstract

Senior executives must make strategic decisions on (re)configuring global value chains (GVCs) in a post-COVID-19 world, with digital technologies playing a decisive role in enabling decision-making on both the reconfigurations and their implementation. Against this backdrop, the paper explores in depth how executives can leverage and combine big and small data analytics into their GVC (re-)configuration decisions. We draw on a longitudinal single-case study of an analytics firm supporting decision makers in agri-food GVCs, enriched through multiple interviews with experts from the industry. Our analysis reveals an interesting shift towards hybrid data strategies combining big and small data to arrive at new forms of decision-making processes after the outbreak of COVID-19. Through this hybridization, executives aim to improve their understanding of GVCs as well as their own agility and flexibility in decision-making to ensure GVC resilience and efficiency.

Item Type:	Article
Uncontrolled Keywords:	Global value chain, Small data analytics, Big data analytics, Decision making, Uncertainty, Agri-food
Divisions:	Faculty of Humanities & Social Sciences > School of Management
Depositing User:	Symplectic Admin
Date Deposited:	18 Feb 2022 08:36
Last Modified:	16 Jun 2026 11:20
DOI:	10.1016/j.jbusres.2022.02.042
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3149139
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