从数字游牧民族的视角看世界:探索目的地评论中的情绪

IF 1.7 Q3 HOSPITALITY, LEISURE, SPORT & TOURISM
Aslı Özge Özgen Çiğdemli, Şeyda Yayla, Bülent Semih Çiğdemli
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引用次数: 0

摘要

目的本研究旨在探索数字游牧民族的情感景观和空间偏好,重点关注目的地评论中表达的情感如何影响他们的流动性和目的地选择。研究结果分析揭示了情感的重要模式,信任和快乐在首选目的地中占主导地位。通过地理信息系统(GIS)绘图确定的空间模式突显了这些情感的全球分布,强调了情感福祉在目的地选择中的重要性。本研究的见解为目的地管理组织(DMOs)的战略规划提供了宝贵的指导,通过与数字游牧民族的情感偏好产生共鸣的有针对性的营销策略增强了目的地的吸引力。 原创性/价值本研究通过将情感分析与地理信息系统(GIS)相结合来绘制数字游牧民族的情感和空间动态图,引入了一种新颖的方法,为有关旅游业和流动性的文献提供了一个新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The world from the perspective of digital nomads: exploring sentiments in destination reviews

Purpose

This study aims to explore the emotional landscapes and spatial preferences of digital nomads, focusing on how sentiments expressed in destination reviews influence their mobility and destination choices.

Design/methodology/approach

Employing a lexicon-based sentiment analysis of social media comments and reviews, alongside advanced geographical information systems (GIS) mapping techniques, the study analyzes the emotional tones that digital nomads associate with various destinations worldwide.

Findings

The analysis reveals significant patterns of emotional sentiments, with trust and joy being predominant in preferred destinations. Spatial patterns identified through GIS mapping highlight the global distribution of these sentiments, underscoring the importance of emotional well-being in destination choice.

Practical implications

Insights from this study offer valuable guidance for Destination Management Organizations (DMOs) in strategic planning, enhancing destination appeal through targeted marketing strategies that resonate with the emotional preferences of digital nomads.

Originality/value

This research introduces a novel approach by integrating sentiment analysis with GIS to map the emotional and spatial dynamics of digital nomadism, contributing a new perspective to the literature on tourism and mobility.

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来源期刊
Worldwide Hospitality and Tourism Themes
Worldwide Hospitality and Tourism Themes HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
4.60
自引率
4.50%
发文量
73
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