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作 者:王媛[1] 顾依秋 冯学钢[1] WANG Yuan;GU Yiqiu;FENG Xuegang(Department of Tourism,East China Normal University,Shanghai 200062,China)
出 处:《旅游导刊》2023年第2期95-123,共29页Tourism and Hospitality Prospects
摘 要:本文选取1986—2020年发表在《旅游学刊》和《旅游科学》这两本期刊上的598篇酒店研究文献作为样本,识别其研究的主要贡献者、贡献机构及合作网络特征,对样本文献的研究性质、研究方法和研究领域进行人工编码与统计分析。结果显示,我国酒店研究经历了多维转向,包括研究导向由管理实践转为学术创新,研究视角由以企业为主体转向以人为主体,研究性质由概念性研究转向以假设检验为目的的实证性研究,其中2001—2005年是我国酒店研究多维转向的重要过渡阶段。此外,本文还对酒店人力资源管理和消费者心理与行为两个领域在研究内容和研究方法上的转变进行了分析与总结。Although hotel research has developed in China for more than thirty years,few studies have investigated the knowledge development process or the current status of Chinese hotel research.This paper conducts a chronological analysis of hotel-related papers published in two leading Chinese tourism journals,namely Tourism Tribune and Tourism Science.The total number of articles included in the analysis was 598.Network analysis was used to examine the key contributors and institutes contributing to the Chinese hotel literature across diff erent time periods.The research area,research design,and methods for data collection and data analysis were identifi ed for each sampled hotel article by adopting a manual coding approach.Results show that the paradigm of Chinese hotel research shifted between the years 2001 and 2005,characterized by distinct foci and methodological preferences.The majority of hotel articles published before 2000 were conceptual and atheoretical;empirical research following a hypothesis-testing approach has grown rapidly since 2000 and now has become the dominant paradigm of Chinese hotel research.Regarding the topics of Chinese hotel research,there has been an increased interest in the attitudes and behaviors of hotel employees and customers,and a declining interest in understanding the practical aspects of hotel management.Correspondingly,surveys targeting hotel customers and employees have become the most widely used data collection tool;also,data analysis methods have become more sophisticated,with techniques suitable for latent variable analysis,including factor analysis and structural equation modeling,gaining popularity.
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