All I know – destination cognitive image latent profile analysis

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Applied Polymer Materials Pub Date : 2024-02-06 DOI:10.1108/tr-09-2023-0618
Marija Bratić, Adam B. Carmer, Miroslav D. Vujičić, Sanja Kovačić, Uglješa Stankov, Dejan Masliković, Rajko Bujković, Danijel Nikolić, Dino Mujkić, Danijela Ćirirć Lalić
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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.

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我所知道的一切--目的地认知图像潜在特征分析
目的 了解旅游目的地的多面形象对于有效的目的地营销和管理战略至关重要。传统的方法,包括目的地形象的概念化或对其前因后果的分析,都是常用的方法。本研究旨在倡导纳入基于认知形象的游客潜在特征,以丰富目的地营销和管理策略的评估和制定。采用探索性因素分析和确认性因素分析来检验认知目的地形象因素量表的潜在维度(有形和无形文化目的地;基础设施和无障碍目的地;活跃、自然和家庭目的地;感官和好客目的地;热情、物有所值(VFM)和安全目的地),同时采用潜在特征分析(LPA)获得子类型(特征)。研究确定了以下特征:传统目的地;感官和好客的目的地;热情、VFM 和安全的目的地;安全和活跃的家庭目的地以及无障碍的文化目的地,并分别介绍了其社会人口资产。从理论角度看,这项研究为现有的与目的地形象相关的文献做出了贡献,从而有助于识别离散的潜在游客群体,并阐明他们在认知形象方面的显著差异。
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来源期刊
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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