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Publication date: 20 June 2023

Jinou Xu and Margherita Emma Paola Pero

This paper investigated the organizational adoption of big data analytics (BDA) in the context of supply chain planning (SCP) to conceptualize how resources are orchestrated for…

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Abstract

Purpose

This paper investigated the organizational adoption of big data analytics (BDA) in the context of supply chain planning (SCP) to conceptualize how resources are orchestrated for organizational BDA adoption and to elucidate how resources and capabilities intervene with the resource management process during BDA adoption.

Design/methodology/approach

This research elaborated on the resource orchestration theory and technology innovation adoption literature to shed light on BDA adoption with multiple case studies.

Findings

A framework for the resource orchestration process in BDA adoption is presented. The authors associated the development and deployment of relevant individual, technological and organizational resources and capabilities with the phases of organizational BDA adoption and implementation. The authors highlighted that organizational BDA adoption can be initiated before consolidating the full resource portfolio. Resource acquisition, capability development and internalization of competences can take place alongside BDA adoption through structured processes and governance mechanisms.

Practical implications

A relevant discussion identifying the capability gap and provides insight into potential paths of organizational BDA adoption is presented.

Social implications

The authors call for attention from policymakers and academics to reflect on the changes in the expected capabilities of supply chain planners to facilitate industry-wide BDA transition.

Originality/value

This study opens the black box of organizational BDA adoption by emphasizing and scrutinizing the role of resource management actions.

Details

International Journal of Physical Distribution & Logistics Management, vol. 53 no. 11
Type: Research Article
ISSN: 0960-0035

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