Abstract
PurposeThis paper aims to examine how the extant publication has related big data analytics (BDA) to supply chain planning (SCP). The paper presents a conceptual model based on the reviewed articles and the dominant research gaps and outlines the research directions for future advancement.Design/methodology/approachBased on a systematic literature review, this study analysed 72 journal articles and reported the descriptive and thematic analysis in assessing the established body of knowledge.FindingsThis study reveals the fact that literature on relating BDA to SCP has an ambiguous use of BDA-related terminologies and a siloed view on SCP processes that primarily focuses on the short-term. Looking at the big data sources, the objective of adopting BDA and changes to SCP, we identified three roles of big data and BDA for SCP: supportive facilitator, source of empowerment and game-changer. It bridges the conversation between BDA technology for SCP and its management issues in organisations and supply chains according to the technology-organisation-environmental framework.Research limitations/implicationsThis paper presents a comprehensive examination of existing literature on relating BDA to SCP. The resulted themes and research opportunities will help to advance the understanding of how BDA will reshape the future of SCP and how to manage BDA adoption towards a big data-driven SCP.Originality/valueThis study is unique in its discussion on how BDA will reshape SCP integrating the technical and managerial perspectives, which have not been discussed to date.
Highlights
Data has never captured as much attention as it currently does
By means of a systematic literature review, we provide a comprehensive overview of the influence of big data and big data analytics (BDA) on Supply chain planning (SCP) looking into the big data sources, objective of BDA adoption and changes to the SCP processes
5.1 Perspective of big data and BDA in supply chain research When it comes to big data terminologies, supply chain literature has the tendency to take them for granted without providing explicit definitions
Summary
Data has never captured as much attention as it currently does. Having emerged rapidly in the last two decades, big data and big data analytics (BDA) have widely affected the way companies conduct their businesses. There is little doubt that the emergence of big data has an unmistakable impact on the amount and speed of data processed in supply chains. Chain planning (SCP) is a data-driven process that focuses on the activities of developing plans to operate supply chains, translating requirements to feasible programmes and optimising outcomes under given constraints (Supply Chain Council, 2012). Big data and BDA demonstrate significant relevance and applicability to the SCP activities (Brinch, 2018), helping to balance requirements and resources and to determine planned capabilities for International Journal of Physical Distribution & Logistics Management Vol 51 No 6, 2021 pp. Walmart has stretched its demand forecasting to an hourly basis by analysing the customer-generated big data (ProjectPro, 2017). Studies discussed the use of a BDA-based solution by start-ups to support decision making when facing grand sustainability challenges such as waste prevention in food supply chains (Ciccullo et al, 2021)
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