An Approximation of Trade Show Exhibitors’ Behavioral Intentions in Fuzzy Environment
Abstract
The study has two objectives mainly to estimate exhibitors’ satisfaction with self-performance, the organizers, and visitors to a trade show, which determines the behavioral intentions of exhibitors, thus providing the organizers with feedback on the perceptions and behavioral intentions of exhibitors and to use the fuzzy Likert scale method to overcome the shortcomings of the Likert scale and enhance its use in the social sciences. The sample included 396 managers who had participated in international trade shows. Fuzzy logic was adopted using linguistic terms to evaluate the satisfaction and intentions of the exhibitors to construct the regression model. Variables relating to satisfaction with self-performance, the organizers, and visitors were found to have a positive effect on the behavioral intentions of the exhibitors. Using fuzzy logic, the discrete ordinal variable was transformed into a continuous variable and its semantic meaning was preserved.
Keywords
References
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Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Publication Date
April 30, 2019
Submission Date
February 7, 2019
Acceptance Date
April 29, 2019
Published in Issue
Year 2019 Volume: 4 Number: 1