The Moderating Role of Artificial Intelligence Use in the Relationship between Environmental Attitude and Green Marketing

Authors

    Ali Ebrahimi MA, Department of Management, Shams Institute of Higher Education, Gonbad Kavous, Iran
    Narjes Ebrahimi * PhD, Department of Management, Shams Institute of Higher Education, Gonbad Kavous, Iran narjesebrahimi590@gmail.com

Keywords:

Business, green marketing, AI, attitude, strategy

Abstract

This study aims to investigate the moderating effect of artificial intelligence use on the relationship between environmental attitude and green marketing. This research adopts a quantitative correlational approach, employing structural equation modeling for analysis. A cross-sectional survey design was utilized to collect primary data from participants. Initially, 450 paper questionnaires were distributed, resulting in 400 completed responses, which reflects a participation rate of 89%. After discarding sixteen incomplete questionnaires, the final valid sample consisted of 384 responses. Data collection was conducted using standardized questionnaires, and the analysis involved Pearson correlation tests alongside structural equation modeling. The findings reveal that environmental attitudes significantly influence green marketing, evidenced by a T-value of 4.527. Furthermore, artificial intelligence use plays a crucial moderating role in the connection between environmental attitudes and green marketing, with a T-value of 6.957. The model fit analysis indicates that the research framework demonstrates a strong fit. The findings highlight the significant impact of artificial intelligence on business operations, ultimately offering actionable insights for implementing AI-enhanced green marketing strategies.

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Published

2025-06-30

Submitted

2025-02-03

Revised

2025-04-24

Accepted

2025-05-06

How to Cite

Ebrahimi, A. ., & Ebrahimi, N. (2025). The Moderating Role of Artificial Intelligence Use in the Relationship between Environmental Attitude and Green Marketing. Future of Work and Digital Management Journal, 3(2), 1-10. https://journalfwdmj.com/index.php/fwdmj/article/view/59

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