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All I know – destination cognitive image latent profile analysis

Marija Bratić (Department of Geography, Faculty of Science and Mathematics, University of Nis, Univerzitet u Nišu Prirodno-matematički fakultet, Niš, Serbia)
Adam B. Carmer (School of Hospitality and Tourism Management, Muma College of Business, University of South Florida, Tampa, Florida, USA)
Miroslav D. Vujičić (Department of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia)
Sanja Kovačić (Department of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia)
Uglješa Stankov (Department of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia)
Dejan Masliković (Institute for Social Science, Belgrade, Serbia)
Rajko Bujković (Faculty of Economics and Business, Mediterranean University Podgorica, Podgorica, Montenegro)
Danijel Nikolić (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)
Dino Mujkić (Faculty of Sports and Physical Education, University of Sarajevo, Sarajevo, Bosnia and Herzegovina)
Danijela Ćirirć Lalić (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)

Tourism Review

ISSN: 1660-5373

Article publication date: 6 February 2024

87

Abstract

Purpose

Understanding the multifaceted images of tourism destinations is critical for effective destination marketing and management strategies. Traditional approaches, including conceptualization of destination images or analysis of their antecedents and consequences, are commonly used. This study aims to advocate the inclusion of visitors’ latent profiles based on cognitive images to enrich the evaluation and formulation of destination marketing and management strategies.

Design/methodology/approach

The analysis focuses on Serbia, an emerging destination, that attracts an increasing number of first-time, repeat and prospective visitors. Exploratory factor analysis and confirmatory factor analysis were used to test the potential dimensions (tangible and intangible cultural destination; infrastructural and accessible destination; active, nature and family destination; sensory and hospitable destination; and welcoming, value for money (VFM) and safe destination) of the cognitive destination image factors scale while subtypes (profiles) were obtained using latent profile analysis (LPA).

Findings

The cognitive image component encompasses the perceived attributes of a destination, whether derived from direct experience or acquired through other means. The study identified the following profiles: conventional destination; sensory and hospitable destination; welcoming, VFM and safe destination; secure and active family destination and accessible cultural destination, which are presented individually with their sociodemographic assets.

Originality/value

The main contribution of the paper is the application of a novel method (LPA) for profiling visitor segments based on cognitive destination image. From a theoretical perspective, this research contributes to the extant body of literature pertaining to the destination image, thereby facilitating the identification of discrete latent visitor segments and elucidating noteworthy differences among them concerning a cognitive image.

Keywords

Citation

Bratić, M., Carmer, A.B., Vujičić, M.D., Kovačić, S., Stankov, U., Masliković, D., Bujković, R., Nikolić, D., Mujkić, D. and Ćirirć Lalić, D. (2024), "All I know – destination cognitive image latent profile analysis", Tourism Review, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/TR-09-2023-0618

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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