From data to green innovation: The role of green organizational learning capability and total quality management
This study aims to look into the role of green organizational learning capability (GOLC) as a mediator between big data analytic capability (BDAC) and the green innovation (GI) of manufacturing SMEs. Importantly, it explores the role of total quality management (TQM) as a moderator between BDAC and GI. A structured questionnaire and a cross-sectional approach were used to gather data from 219 Malaysian SMEs. The structural equation modelling method was used to examine the relationships in the suggested model. The findings reveal a significant positive link between BDAC and GI, emphasizing their crucial role in fostering environmental practices within manufacturing SMEs. Additionally, GOLC mediated the BDAC-GI relationship. Finally, TQM moderated the impact of BDAC and GI. This study provides empirical evidence of the interplay between BDAC, GOLC, TQM, and GI within the context of emerging countries, specifically focusing on Malaysian manufacturing SMEs. Moreover, the insights emphasize the importance for corporations, especially in developing regions, to adopt industry 4.0 technologies with GI to enhance their sustainability.
Authors
- Ibraheem Saleh Al Koliby (ORCID: https://orcid.org/0000-0002-5114-312X)
- Hamood Mohammed Al‐Hattami (ORCID: https://orcid.org/0000-0001-6290-1697)
- Abdullah Kaid Al‐Swidi (ORCID: https://orcid.org/0000-0002-1718-0269)
- Hamid Mahmood Gelaidan (ORCID: https://orcid.org/0000-0002-9339-6184)
- Mohammed A. Al‐Hakimi (ORCID: https://orcid.org/0000-0001-9923-1439)
- Nurul Aini Binti Mehat
Institutions
- Sultan Idris Education University (MY)
- Korea University (KR)
- Thamar University (YE)
- Hodeidah University (YE)
- College of Applied Sciences, Nizwa (OM)
- A'Sharqiyah University
- Qatar University (QA)
- Northern University of Malaysia (MY)
Publication Details
- Journal
- Sustainable Futures
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1016/j.sftr.2025.101191
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00