Antecedents and Outcomes of Big Data Adoption in Supply Chain: A Meta-Analytic Investigation

Alok Raj, Rajeev Ranjan Kumar and Anand Jeyaraj
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Alok Raj: XLRI - Xavier School of Management Jamshedpur, Jharkhand, India
Rajeev Ranjan Kumar: Indian Institute of Management Ranchi, Jharkhand, India
Anand Jeyaraj: Wright State University, Ohio, U.S.A

American Business Review, 2024, vol. 27, issue 2, 775-797

Abstract: This paper aims to provide a comprehensive understanding of the big data–performance relationship based on the existing empirical evidence. Using a meta-analysis approach, big data adoption (BDA) related 446 effect sizes reported in 133 prior empirical studies were gathered from 118848 informants in more than 30 countries. Results confirm ten significant antecedents and eight outcomes of BDA based on identified literature. We further estimate the heterogeneity based on subgroup analysis by considering two types of moderators as (a) economic regions (developed vs developing), and (b) type of industry. We find that organizations in developed countries adopt big data largely due to environmental and organizational factors. Further, developed countries can harness the potential of big data for better performance (e.g., supply chain integration, collaboration, customer relationship management, and innovation). This study provides multifaceted insights for practitioners and academia alike regarding the use of big data.

Keywords: Big Data; Meta-Analysis; Economic Regions; Type of Industry (search for similar items in EconPapers)
JEL-codes: C55 C81 C82 J10 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ris:ambsrv:0122

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