Antecedents and Outcomes of Big Data Adoption in Supply Chain: A Meta-Analytic Investigation
Year: 2024
Type: article
Study designs: Systematic Review, Meta-Analysis
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.
Source: American Business Review
Authors: Alok Raj, Rajeev Ranjan Kumar, Anand Jeyaraj
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4404259033