Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111090 - 111090
Published: March 1, 2025
Language: Английский
Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111090 - 111090
Published: March 1, 2025
Language: Английский
Energy Economics, Journal Year: 2025, Volume and Issue: unknown, P. 108311 - 108311
Published: Feb. 1, 2025
Language: Английский
Citations
0Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2928 - 2928
Published: March 26, 2025
Big data analytics (BDA) has recently received significant public interest and is widely considered as a transformative technology set to improve organizations’ environmental performance. However, prior empirical studies have yielded inconsistent findings. Based on organizational learning theory, our paper utilized longitudinal approach understand the relationships between big implementation corporate This project also investigates role of industry environment in influencing these relationships. employed from 172 firms covering 2408 firm-year observations Fortune 200 firms. We “the generalized method moments (GMMs) technique” test study assumptions. Our analysis shows that one-unit improvement BDA leads to, average, 2.8% performance (CEP). In addition, impact CEP greater more complex dynamic settings. offers meaningful implications for scholars managers influence across various Moreover, this provides refined comprehension ramifications BDA, consequently addressing essential enquiries how when can
Language: Английский
Citations
0Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111090 - 111090
Published: March 1, 2025
Language: Английский
Citations
0