Interpretive Structural Modelling of Attitude Change Based on Cognitive Dissonance (Railway Transportation Industry)

When individuals encounter conflicting cognitions, the motivation to mitigate the dissonance can result in a modification of one of their cognitions. Altering attitudes is one approach to achieving this objective, serving as a strategy to alleviate cognitive dissonance by adjusting cognitions associ...

Full description

Saved in:
Bibliographic Details
Published in:Iranian journal of management studies 2023-09, Vol.16 (4), p.811-826
Main Authors: Ashouri, Fatemeh, Azad, Naser
Format: Article
Language:English
Subjects:
Attitudes
Cognitive dissonance
Communication
Consumer behavior
Consumer preferences
Consumers
Economic development
Energy consumption
Highway construction
Industrialized nations
Purchase intention
Railroads
Railway networks
Transportation industry
Transportation services
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:When individuals encounter conflicting cognitions, the motivation to mitigate the dissonance can result in a modification of one of their cognitions. Altering attitudes is one approach to achieving this objective, serving as a strategy to alleviate cognitive dissonance by adjusting cognitions associated with the attitude. This study aims to construct an interpretive structural model of attitude change grounded in cognitive dissonance within the railway transportation industry. Employing a mixed research design, the qualitative phase involved semi-structured interviews with experts, while the quantitative phase encompassed the development and distribution of a paired questionnaire among the statistical population of the railway transportation industry. During the qualitative phase, the theme technique yielded 6 overarching themes and 36 organizing themes. These themes were subsequently subjected to analysis using the interpretative structural modeling technique, categorizing them as autonomous, dependent, linked, and independent variables. One of the limitations of this study is the absence of similar research conducted in Iran.
ISSN:2008-7055
2345-3745
DOI:10.22059/ijms.2022.339830.674994