View in EDS

Culturally Responsive AI: Integrating Hofstede's Cultural Model in AI‐Driven ESG Strategies.

Saved in:
Bibliographic Details
Title: Culturally Responsive AI: Integrating Hofstede's Cultural Model in AI‐Driven ESG Strategies.
Authors: Appolloni, Andrea1 (AUTHOR) andrea.appolloni@uniroma2.it, Chakraborty, Debarun2 (AUTHOR), Jain, Ravi Kumar3 (AUTHOR)
Source: Business Strategy & the Environment (John Wiley & Sons, Inc). Oct2025, p1. 17p. 1 Illustration.
Subject Terms: *CORPORATE culture, SOCIOCULTURAL factors, CROSS-cultural studies, MODERATION, LEADERSHIP ethics
Geographic Terms: INDIA
Abstract: ABSTRACT This research investigates how Hofstede's cultural dimensions impact the application of AI technology in fulfilling Environmental, Social, and Governance (ESG) objectives by concentrating on organizational attitude and policy as moderating factors. The framework formulated using cultural theory attempts to explain the influence that power distance, uncertainty avoidance, and individualism have on the application of AI to various sociocultural settings. This study used a sequential exploratory mixed‐methods design involving qualitative grounded theory and in‐depth interviews with stakeholders and key informants from different domains to identify culturally relevant constructs pertaining to AI use for ESG objectives in the exploratory phase. In the confirmatory phase, the relationships formulated in the previous step were tested using PLS‐SEM with survey data from 448 respondents in India, processed with SMART PLS 4.0, ensuring the results met the various PLS‐SEM validity criteria of reliability, validity, and theoretical rigor. It is noted that positive organizational attitudes increase the effects of AI on ESG outcomes, while formal policies, save for a few, do not exert any meaningful moderating influence because they are too rigid and lack context. This research contributes to culture theory by illustrating the intersections of AI adoption and ESG performance, which are relatively under‐discussed in modern academic research. Addressing this gap highlights the inadequacy of culturally sensitive attitude‐centered frameworks tailored for responsible organizational leadership shaped by sustainable ethical guiding global principles. [ABSTRACT FROM AUTHOR]
Copyright of Business Strategy & the Environment (John Wiley & Sons, Inc) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Business Source Index
Description
Abstract:ABSTRACT This research investigates how Hofstede's cultural dimensions impact the application of AI technology in fulfilling Environmental, Social, and Governance (ESG) objectives by concentrating on organizational attitude and policy as moderating factors. The framework formulated using cultural theory attempts to explain the influence that power distance, uncertainty avoidance, and individualism have on the application of AI to various sociocultural settings. This study used a sequential exploratory mixed‐methods design involving qualitative grounded theory and in‐depth interviews with stakeholders and key informants from different domains to identify culturally relevant constructs pertaining to AI use for ESG objectives in the exploratory phase. In the confirmatory phase, the relationships formulated in the previous step were tested using PLS‐SEM with survey data from 448 respondents in India, processed with SMART PLS 4.0, ensuring the results met the various PLS‐SEM validity criteria of reliability, validity, and theoretical rigor. It is noted that positive organizational attitudes increase the effects of AI on ESG outcomes, while formal policies, save for a few, do not exert any meaningful moderating influence because they are too rigid and lack context. This research contributes to culture theory by illustrating the intersections of AI adoption and ESG performance, which are relatively under‐discussed in modern academic research. Addressing this gap highlights the inadequacy of culturally sensitive attitude‐centered frameworks tailored for responsible organizational leadership shaped by sustainable ethical guiding global principles. [ABSTRACT FROM AUTHOR]
ISSN:09644733
DOI:10.1002/bse.70248