E-WoM through Facebook and Customer Loyalty: A Serial Mediation Model Based on Structural Equation Modeling

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Volume 6 Issue 2, 2025

Author(s):

Nazia Abdul Rehman
Federal Urdu University Arts, Science & Technology, Karachi, Pakistan
nzshakir@gmail.com

Muhammad Faisal Sultan
KASBIT, Karachi, Pakistan
mfaisal@kasbit.edu.pk

Shahzad Nasim (Corresponding Author)
The Begum Nusrat Bhutto Women University, Sukkur, Pakistan
shahzadnasim@live.com

Zaibunnisa Siddiqi
Sukkur IBA University, Pakistan
zaibsd@gmail.com

Aneela Kiran
The Begum Nusrat Bhutto Women University, Sukkur,Pakistan
aneelakiranansari73@gmail.com

Sheema Gohar
The Begum Nusrat Bhutto Women University, Sukkur, Pakistan
sheema.gohar@bnbwu.edu.pk

Abstract Research related to E-WoM on customer engagement and customer loyalty is common. However, there is a significant lack of research related to E-WoM related with Islamic Banks. Similarly, there is a substantial lacking of research that is based upon serial mediation analysis in order to predict the effect of E-WoM on customer satisfaction and customer loyalty. Hence, this study is one of the premier studies that highlight the effect of E-WoM on customer loyalty. Especially in the category of Islamic Banking this study is highly beneficial and has multi-level significance due to its ability to contribute in the academic and pragmatic domains. Hence, to compile this study the data have been collected through convenience sampling from the Generation Z customers of Islamic Banks operating in Karachi. The sample size of the study is 384, which is treated as the universal sample size. Analysis of the data has been conducted through SMART-PLS, which highlighted that the major aspects associated with the significance of the study are approved. Thus, this study may further be used by researchers, academics, and policy-makers for improvement in understanding, working, and relationship optimization.
Keywords Islamic Banking, Marketing, Artificial Intelligence (AI), Social Marketing, Social Issues, Social Welfare
Year 2025
Volume 6
Issue 2
Type Research paper, manuscript, article
Recognized by Higher Education Commission of Pakistan, HEC
Category "Y"
Journal Name ILMA Journal of Social Sciences & Economics
Publisher Name ILMA University
Jel Classification -
DOI
ISSN no (E, Electronic) 2790-5896
ISSN no (P, Print) 2709-2232
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Manuscript Processing Blind Peer Reviewed
Format PDF
Paper Link http://ijsse.ilmauniversity.edu.pk/arc/Vol6./pdf/v2/1.pdf