Structural equation path modeling of emotional brand attachment

0Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This exploratory study examined the relationship between university image, acculturation, and emotional brand attachment, particularly in the context of a public higher education (PubHEI) in Malaysia. Research is aims to identify whether university image and acculturation have an effect on the emotional brand attachment. Data were collected from 101 international students at one of the public universities in Malaysia using a self-administrated questionnaire. Structural equation modeling (i.eSmartPLS) was used to analyze the data. The results show that nevertheless all factors being significant to emotional brand attachment formation, the university image and acculturation are the most important predictors. As a result, this study is important for academician and practitioners, as it exists a different approach to examine emotional brand attachment formation, it offers a new framework to assess the construct of emotional brand attachment. Besides, this research offers several recommendations for future research.

References Powered by Scopus

An assessment of the use of partial least squares structural equation modeling in marketing research

5617Citations
N/AReaders
Get full text

A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study

4880Citations
N/AReaders
Get full text

Consumers and their brands: Developing relationship theory in consumer research

4801Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Ramli, M. F., Rahman, M. A., & Othman, R. (2020). Structural equation path modeling of emotional brand attachment. Journal of Critical Reviews. Innovare Academics Sciences Pvt. Ltd. https://doi.org/10.31838/JCR.07.03.103

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

42%

Lecturer / Post doc 3

25%

Researcher 3

25%

Professor / Associate Prof. 1

8%

Readers' Discipline

Tooltip

Business, Management and Accounting 8

73%

Social Sciences 2

18%

Psychology 1

9%

Save time finding and organizing research with Mendeley

Sign up for free