To read this content please select one of the options below:

Unraveling the transformation: the three-wave time-lagged study on big data analytics, green innovation and their impact on economic and environmental performance in manufacturing SMEs

Khalid Mehmood (Research Center of Hubei Micro and Small Enterprises Development, School of Economics and Management, Hubei Engineering University, Xiaogan, China)
Fauzia Jabeen (College of Business, Abu Dhabi University, Abu Dhabi, United Arab Emirates)
Md Rashid (Indian Institute of Technology Kharagpur, Kharagpur, India)
Safiya Mukhtar Alshibani (Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia)
Alessandro Lanteri (ESCP Business School, Turin Campus, Turin, Italy)
Gabriele Santoro (Department of Management, University of Turin, Turin, Italy)

European Journal of Innovation Management

ISSN: 1460-1060

Article publication date: 12 February 2024

464

Abstract

Purpose

The firms’ adoption and improvement of big data analytics capabilities to improve economic and environmental performance have recently increased. This makes it important to discover the underlying mechanism influencing the association between big data analytics (BDA) and economic and environmental performance, which is missing in the existing literature. The present study discovers the indirect effect of green innovation (GI) and the moderating role of corporate green image (CgI) on the impact of BDA capabilities, including big data management capability (MC) and big data talent capability (TC), on economic and environmental performance.

Design/methodology/approach

A time-lagged design was employed to collect data from 417 manufacturing firms, and study hypotheses were evaluated using Mplus.

Findings

The empirical outcomes indicate that both BDA capabilities of firms significantly influence green innovation (GI), which significantly mediates the relationship between BDA and economic and environmental performance. Our findings also revealed that CgI strengthened the effect of GI on economic and environmental performance. The empirical evidence provides important theoretical and practical repercussions for manufacturing SMEs and policymakers.

Originality/value

This study contributes to the literature on BDA by empirically exploring the effects of MC and TC on improving the EcP and EnP of manufacturing firms. It does so through the indirect impact of GIs and the moderating effect of CgI, thereby extending the Dynamic capabilities view (DCV) paradigm.

Keywords

Acknowledgements

This study was funded by the Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2023R395).

Citation

Mehmood, K., Jabeen, F., Rashid, M., Alshibani, S.M., Lanteri, A. and Santoro, G. (2024), "Unraveling the transformation: the three-wave time-lagged study on big data analytics, green innovation and their impact on economic and environmental performance in manufacturing SMEs", European Journal of Innovation Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/EJIM-10-2023-0903

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

Related articles