Exploring consumer engagement and satisfaction in health and wellness tourism through text-mining

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Kybernetes Pub Date : 2024-07-11 DOI:10.1108/k-12-2023-2721
Yavuz Selim Balcioglu
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Abstract

Purpose

This study aims to deepen the understanding of consumer engagement and satisfaction within the health and wellness tourism sector, a rapidly growing niche in the global tourism industry. It focuses on identifying key elements that influence consumer perceptions and experiences in this domain.

Design/methodology/approach

Employing a quantitative approach, this research utilizes Dynamic Correlated Topic Models (DCTM) and sentiment analysis techniques to analyze user-generated content from TripAdvisor. The methodology involves parsing through extensive online reviews to extract thematic patterns and emotional sentiments related to various wellness tourism experiences.

Findings

The findings reveal that wellness and relaxation, spa and therapy services, and cultural immersion are significant factors influencing consumer satisfaction in health and wellness tourism. These elements contribute to a more profound and emotionally satisfying tourist experience, highlighting the shift from traditional tourism to more holistic, wellness-focused travel.

Research limitations/implications

The study is limited by its focus on user-generated content from a single platform, which may not fully represent the diverse range of consumer experiences in health and wellness tourism. Future research could expand to include other platforms and cross-reference with qualitative data.

Practical implications

The study offers valuable implications for destination managers and marketers in the health and wellness tourism industry, suggesting that enhancing and promoting wellness-centric experiences can significantly improve consumer satisfaction and engagement.

Social implications

The research underscores the growing importance of health and wellness in societal values, reflecting a shift in consumer preferences towards travel experiences that offer mental, physical, and spiritual benefits. This has broader implications for how destinations can cater to the evolving demands of socially conscious travelers.

Originality/value

This research contributes original insights into the evolving field of health and wellness tourism by integrating advanced text mining techniques to analyze consumer feedback, offering a novel perspective on what drives engagement and satisfaction in this sector.

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通过文本挖掘探索消费者在健康与保健旅游中的参与度和满意度
目的本研究旨在加深对消费者在健康和保健旅游领域的参与度和满意度的了解,该领域是全球旅游业中发展迅速的一个细分市场。本研究采用定量方法,利用动态相关主题模型(DCTM)和情感分析技术来分析 TripAdvisor 上用户生成的内容。研究结果研究结果表明,健康和放松、水疗和理疗服务以及文化熏陶是影响消费者对健康和保健旅游满意度的重要因素。研究局限性/启示这项研究的局限性在于它只关注单一平台上的用户生成内容,这可能无法完全代表消费者在健康与保健旅游中的各种体验。社会意义该研究强调了健康和保健在社会价值观中日益增长的重要性,反映了消费者偏好向提供心理、身体和精神益处的旅游体验转变。这项研究通过整合先进的文本挖掘技术来分析消费者的反馈,为不断发展的健康和保健旅游领域提供了独到的见解,为该领域的参与度和满意度提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Kybernetes
Kybernetes 工程技术-计算机:控制论
CiteScore
4.90
自引率
16.00%
发文量
237
审稿时长
4.3 months
期刊介绍: Kybernetes is the official journal of the UNESCO recognized World Organisation of Systems and Cybernetics (WOSC), and The Cybernetics Society. The journal is an important forum for the exchange of knowledge and information among all those who are interested in cybernetics and systems thinking. It is devoted to improvement in the understanding of human, social, organizational, technological and sustainable aspects of society and their interdependencies. It encourages consideration of a range of theories, methodologies and approaches, and their transdisciplinary links. The spirit of the journal comes from Norbert Wiener''s understanding of cybernetics as "The Human Use of Human Beings." Hence, Kybernetes strives for examination and analysis, based on a systemic frame of reference, of burning issues of ecosystems, society, organizations, businesses and human behavior.
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