EconPapers    
Economics at your fingertips  
 

Bridging AI minds and corporate sustainability - Exploring the role of business model innovation and organizational sensemaking

Vinit Ghosh, Varun Chotia, Rsha Alghafes, Sarah Basahel and Asif Nazrul

Technological Forecasting and Social Change, 2025, vol. 218, issue C

Abstract: The research explores the impact of artificial intelligence understanding on corporate sustainability, as mediated by business model innovation and organizational sensemaking. Data from 260 employees working in manufacturing sector was analyzed. The proposed hypotheses were evaluated using SmartPLS4. The empirical findings supported the hypothesized relationships linking artificial intelligence understanding, business model innovation, organizational sensemaking, and corporate sustainability. The results affirm a positive connection between artificial intelligence understanding and corporate sustainability, mediated by business model innovation and organizational sensemaking. These statistically significant inter-linkages were further validated through qualitative content analysis of structured written responses from twelve experts, revealing the “why” and “how” aspects of these relationships. Artificial intelligence uncovers valuable insights by analyzing economic, social, and environmental factors, helping businesses identify sustainable profit opportunities. The study advocates for organizations to integrate human sensemaking elements when aligning corporate strategies with artificial intelligence. This paradigm calls for a comprehensive approach, wherein technology-driven methodologies and human-centred cognitive strategies collaboratively shape corporate sustainability policies.

Keywords: Artificial intelligence understanding; Business model innovation; Organizational sensemaking; Corporate sustainability (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162525002604
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:218:y:2025:i:c:s0040162525002604

DOI: 10.1016/j.techfore.2025.124229

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-06-17
Handle: RePEc:eee:tefoso:v:218:y:2025:i:c:s0040162525002604