AI-induced corporate social responsibility (AICSR) and e-retailing: a game-changing strategy or a gimmick to attain customer loyalty

Purpose This study examines the direct and mediated effects of AI-induced corporate social responsibility (AICSR) initiatives on customer loyalty in e-retailing, grounded in an integrated theoretical framework of stakeholder theory and signaling theory. It clarifies whether AICSR fosters customer loyalty directly or indirectly via a series of intervening pathways. Design/methodology/approach We tested the framework using cross-sectional survey data collected from 234 active Chinese online retail consumers, and analyzed the dataset via partial least squares structural equation modeling (PLS-SEM) using SmartPLS 4. Findings Results reveal that AICSR exerts a significant positive direct effect on customer loyalty. Meanwhile, its influence is transmitted through six constructs – retailer service quality, customer satisfaction, electronic word-of-mouth (e-WOM), retailer image, retailer reputation and customer trust – through both individual mediation pathways and a sequential pathway involving all six mediators. These mediators exhibit significant positive relationships, highlighting their interconnected roles in explaining customer loyalty. Originality/value This study extends extant literature by unpacking the paradox of legitimate distinctiveness amid AICSR in the e-commerce industry. It demonstrates that the effectiveness of AICSR initiatives extends beyond their direct contribution to customer loyalty, revealing the interconnected mechanisms through which AI-induced CSR can generate broader customer value.

Authors

Institutions

Publication Details

Journal
Asia Pacific Journal of Marketing and Logistics
Published
2026-10-05
DOI
https://doi.org/10.1108/apjml-05-2026-1088
Primary Topic
Customer Service Quality and Loyalty
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-induced corporate social responsibility (AICSR) and e-retailing: a game-changing strategy or a gimmick to attain customer loyalty

Rong Du, Ijaz Ahmad
Asia Pacific Journal of Marketing and Logistics
Customer Service Quality and Loyalty
article

AI-induced corporate social responsibility (AICSR) and e-retailing: a game-changing strategy or a gimmick to attain customer loyalty

Rong Du, Ijaz Ahmad
article en

Abstract

Purpose This study examines the direct and mediated effects of AI-induced corporate social responsibility (AICSR) initiatives on customer loyalty in e-retailing, grounded in an integrated theoretical framework of stakeholder theory and signaling theory. It clarifies whether AICSR fosters customer loyalty directly or indirectly via a series of intervening pathways. Design/methodology/approach We tested the framework using cross-sectional survey data collected from 234 active Chinese online retail consumers, and analyzed the dataset via partial least squares structural equation modeling (PLS-SEM) using SmartPLS 4. Findings Results reveal that AICSR exerts a significant positive direct effect on customer loyalty. Meanwhile, its influence is transmitted through six constructs – retailer service quality, customer satisfaction, electronic word-of-mouth (e-WOM), retailer image, retailer reputation and customer trust – through both individual mediation pathways and a sequential pathway involving all six mediators. These mediators exhibit significant positive relationships, highlighting their interconnected roles in explaining customer loyalty. Originality/value This study extends extant literature by unpacking the paradox of legitimate distinctiveness amid AICSR in the e-commerce industry. It demonstrates that the effectiveness of AICSR initiatives extends beyond their direct contribution to customer loyalty, revealing the interconnected mechanisms through which AI-induced CSR can generate broader customer value.

Asia Pacific Journal of Marketing and Logistics
Xidian University (CN)
Openalex Percentile: Top 6%
Customer Service Quality and Loyalty
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.