4.5 Article

The role of big data analytics capabilities in bolstering supply chain resilience and firm performance: a dynamic capability view

期刊

INFORMATION TECHNOLOGY & PEOPLE
卷 35, 期 5, 页码 1621-1651

出版社

EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/ITP-01-2021-0048

关键词

Big data analytics capability; Dynamic capability view; Supply chain resilience; Innovative capabilities; Information quality; Risk management culture; Firm performance

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This study investigates the impact of big data analytics capability on firm performance through the lens of supply chain resilience and risk management culture. The findings indicate that BDA capabilities enhance supply chain resilience, leading to improved firm performance, with the relationship influenced by risk management culture. The study contributes to the literature by highlighting the mediating role of supply chain resilience in the relationship between BDA capabilities and firm performance.
Purpose Big data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture. Design/methodology/approach The study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics. Findings The results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator. Originality/value The present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.

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