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

IF 13.3 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2025-06-02 DOI:10.1016/j.techfore.2025.124229

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

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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.

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连接人工智能思想和企业可持续发展-探索商业模式创新和组织意义的作用

本研究探讨了人工智能理解对企业可持续发展的影响，以商业模式创新和组织意义构建为中介。对260名制造业员工的数据进行了分析。使用SmartPLS4对提出的假设进行评估。实证结果支持了人工智能理解、商业模式创新、组织意义制定和企业可持续性之间的假设关系。研究结果证实，人工智能理解与企业可持续性之间存在正相关，并以商业模式创新和组织意义构建为中介。通过对12位专家结构化书面回复的定性内容分析，进一步验证了这些统计上显着的相互联系，揭示了这些关系的“为什么”和“如何”方面。人工智能通过分析经济、社会和环境因素，发现有价值的见解，帮助企业识别可持续的盈利机会。该研究倡导组织在将企业战略与人工智能结合起来时，将人类的语义元素整合起来。这种模式需要一种全面的方法，其中技术驱动的方法和以人为中心的认知策略共同塑造企业的可持续发展政策。

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

期刊介绍： Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.