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Digital Content Marketing and EWOM: A Mediational Serial Approach Cover

Digital Content Marketing and EWOM: A Mediational Serial Approach

Open Access
|Apr 2024

Abstract

Background

In this study, the parameters that directly impact purchase intentions were analysed, such as electronic word of mouth, customer engagement, brand awareness, and customer retention.

Objectives

This study aimed to explore the impact of digital content marketing on customer purchase intentions.

Methods/Approach

The study used Partial Least Square Structural Equation Modeling (PLS-SEM) to explore the hypothesised relationships between variables and the extent to which digital content marketing strategies influence purchase intention.

Results

The study’s findings highlighted that content marketing positively impacts electronic word of mouth, brand awareness, customer retention, and customer engagement. In contrast, the results revealed that content marketing does not directly impact purchase intentions.

Conclusions

The study’s results indicate that digital content marketing affects purchase intentions indirectly, primarily through customer engagement, brand awareness, customer retention, and electronic word of mouth. In essence, the complete impact of digital content marketing on purchase intention is realised through these indirect factors. The findings enrich the literature on digital content marketing and provide some practical implications for companies to invest more in this direction to improve their performance.

DOI: https://doi.org/10.2478/bsrj-2023-0010 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 24 - 43
Submitted on: Sep 21, 2022
Accepted on: Nov 28, 2023
Published on: Apr 25, 2024
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Vjollca Visoka Hasani, Jusuf Zeqiri, Teodora Todorovik, Dhouha Jaziri, Asdren Toska, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.