Circular economy practices and environmental performance: analysing the role of big data analytics capability and responsible research and innovation

Sahoo, Saumyaranjan, Upadhyay, Arvind and Kumar, Anil (2023) Circular economy practices and environmental performance: analysing the role of big data analytics capability and responsible research and innovation. Business Strategy and the Environment, 32 (8). pp. 6029-6046. ISSN 0964-4733

[img] Text
Manuscript - Accepted Version (1).pdf - Accepted Version
Restricted to Repository staff only until 6 June 2025.

Download (675kB) | Request a copy
[img]
Preview
Text
Bus-Strat-Env-2023-Sahoo.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (2MB) | Preview
Official URL: https://doi.org/10.1002/bse.3471

Abstract / Description

This study employs dynamic capability view theory to comprehend the interplay between big data analytics capability (BDAC), responsible research and innovation (RRI), and circular economy practices (CEPs) as an execution strategy for improving environmental performance. The study uses partial least square structural equation modelling to analyse primary survey data collected from 326 manufacturers. The results indicate that BDAC, RRI and CEPs favourably affect environmental performance. Notably, RRI emerges as the most influential factor among the three. Furthermore, the findings suggest that implementing CEPs serves as a partial mediator for the influence of BDAC and RRI on environmental performance. Surprisingly, the study finds that the moderating impact of resource commitment is not statistically significant in any of the three pairwise interactions involving BDAC, RRI, and CEPs with respect to environmental performance. The results have various intriguing implications for how manufacturers can enhance their circular economy strategies to achieve better environmental performance, representing a noteworthy contribution to the foundational theory of the dynamic capability view. Finally, these findings also provide valuable insights to managers, enabling a deeper understanding of the determinants that contribute to deploying CEPs and improving environmental performance within a manufacturing setting.

Item Type: Article
Additional Information: This is the peer reviewed version of the article that has been published in final form at https://doi.org/10.1002/bse.3471. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Uncontrolled Keywords: Big data analytics capability; circular economy practices; responsible research and innovation; environmental performance; manufacturing
Subjects: 600 Technology > 650 Management & auxiliary services
Department: Guildhall School of Business and Law
Depositing User: Anil Kumar
Date Deposited: 24 May 2023 08:37
Last Modified: 05 Feb 2024 15:57
URI: https://repository.londonmet.ac.uk/id/eprint/8548

Actions (login required)

View Item View Item