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A multi-analytic approach to predict social media marketing influence on consumer purchase intention

Anshuman Sharma (Department of Marketing, College of Business Administration, Ajman University, Ajman, United Arab Emirates)
Akinola Fadahunsi (Department of Management, College of Business Administration, Ajman University, Ajman, United Arab Emirates)
Haidar Abbas (Department of Business Administration, Salalah College of Applied Sciences, University of Technology and Applied Sciences, Salalah, Oman)
Vivek Kumar Pathak (Faculty of Commerce and Management, Arunachal University of Studies, Namsai, India)

Journal of Indian Business Research

ISSN: 1755-4195

Article publication date: 26 January 2022

Issue publication date: 17 May 2022

2904

Abstract

Purpose

Based on the stimulus-organism-response (SOR) framework, this study aims to investigate the effect of social media marketing (SMM) activities on consumers’ purchase intention (PI), as well as to test the mediation effect of consumer-based brand equity (CBBE) and consumer inspiration (INS) between the relationship of SMM and PI. Further, this study has also proposed and validated SMM as a reflective–formative higher-order construct (R-F-HOC) with its five first-order dimensions: customization, entertainment, interaction, trendiness and word of mouth (WoM).

Design/methodology/approach

Using a non-probability purposive sampling method, a structured questionnaire survey using Google forms was used to collect data from a sample of 236 UAE consumers. Subsequently, the data was analyzed with a hybrid method that combined partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) analysis.

Findings

The findings suggest that SMM has a direct effect on CBBE, INS and PI. Both proposed mediation effects are statistically significant, and there is a partial complementary mediation effect of CBBE and INS between SMM and PI. This study validated the operationalization of SMM as R-F-HOC. Further, the results of the ANN analysis validate the results of the PLS-SEM, suggesting that SMM is the strongest predictor of PI followed by CBBE and INS.

Research limitations/implications

In terms of theoretical significance, this study has advanced our understanding of the process by which the influence of SMM is transferred to PI via CBBE and INS. This study has also made a significant contribution by validating SMM as a R-F-HOC. In terms of practical implications, this study suggests that SMM should be best assessed as a R-F-HOC construct with five dimensions: customization, entertainment, interaction, trendiness and WoM. This study has also demonstrated the importance of CBBE and INS in transmitting the effect of SMM on PI to marketers.

Originality/value

This study contributes to the digital advertising literature by filling a knowledge gap about the mediation effect of CBBE and INS between SMM and PI via the SOR framework. SMM’s multidimensionality as a R-F-HOC has also been established.

Keywords

Citation

Sharma, A., Fadahunsi, A., Abbas, H. and Pathak, V.K. (2022), "A multi-analytic approach to predict social media marketing influence on consumer purchase intention", Journal of Indian Business Research, Vol. 14 No. 2, pp. 125-149. https://doi.org/10.1108/JIBR-08-2021-0313

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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