Corporate social responsibility and profitability in Islamic insurance firms: insights from explainable AI

Purpose This study aims to examine how corporate social responsibility (CSR) influences Takaful (Islamic insurance) insurers’ financial performance, with an additional emphasis on the moderating role of Shariah governance. Design/methodology/approach Drawing on a sample of 33 Takaful companies over a five-year period (2018–2022), the authors use an explainable artificial intelligence framework that integrates eXtreme Gradient Boosting and SHapley Additive exPlanations (SHAP). Findings CSR exhibits a modest direct effect on profitability, but gains added significance when paired with strong Shariah governance. SHAP-based dependence plots also reveal nonlinear patterns in the CSR–performance relationship, suggesting that higher or lower levels of CSR may yield more pronounced effects than moderate levels. Robustness checks using return on equity confirm these insights, indicating consistent dynamics across alternative performance measures. Originality/value By combining advanced machine learning with SHAP-based interpretative analysis, this paper provides insights into how CSR and governance together influence financial performance.

Authors

Institutions

Publication Details

Journal
Journal of Islamic marketing
Published
2025-12-27
DOI
https://doi.org/10.1108/jima-03-2025-0184
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corporate social responsibility and profitability in Islamic insurance firms: insights from explainable AI

Muhammad Bilal Zafar, Hassnian Ali, Ahmad Jafar
Journal of Islamic marketing
Islamic Finance and Banking Studies
article

Corporate social responsibility and profitability in Islamic insurance firms: insights from explainable AI

Muhammad Bilal Zafar, Hassnian Ali, Ahmad Jafar
article en

Abstract

Purpose This study aims to examine how corporate social responsibility (CSR) influences Takaful (Islamic insurance) insurers’ financial performance, with an additional emphasis on the moderating role of Shariah governance. Design/methodology/approach Drawing on a sample of 33 Takaful companies over a five-year period (2018–2022), the authors use an explainable artificial intelligence framework that integrates eXtreme Gradient Boosting and SHapley Additive exPlanations (SHAP). Findings CSR exhibits a modest direct effect on profitability, but gains added significance when paired with strong Shariah governance. SHAP-based dependence plots also reveal nonlinear patterns in the CSR–performance relationship, suggesting that higher or lower levels of CSR may yield more pronounced effects than moderate levels. Robustness checks using return on equity confirm these insights, indicating consistent dynamics across alternative performance measures. Originality/value By combining advanced machine learning with SHAP-based interpretative analysis, this paper provides insights into how CSR and governance together influence financial performance.

Journal of Islamic marketing
International Islamic University, Islamabad (PK), Minhaj University Lahore (PK), University of Technology Malaysia (MY)
Decent work and economic growth
Openalex Percentile: Top 24%
Islamic Finance and Banking Studies
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.