公益旅游的迅猛发展及其所蕴含的种种矛盾使之成为学术研究的热点。文章以Web of Science为数据源,运用社会网络分析方法对境外公益旅游的研究热点、知识基础、研究力量等知识进化的属性与特征进行了分析。结果表明:(1)境外公益旅游研究在经历了起步阶段、理性探索阶段后,现处于研究拓展阶段,其研究热点呈现出由单纯的动机和影响研究向主客关系、推动机制、项目效果评估等多角度复合研究转变的趋势;(2)涉及内涵研究、旅游影响、文化交流与冲突、项目评估等主题的12篇文献对公益旅游领域的知识演进起到了重要推动作用;(3)公益旅游领域的研究人员之间存在多个小组合作关系,其中以Mc Gehee和Wearing为核心的合作网络较为稳定,但小组之间的协作与知识流动较少;(4)公益旅游领域的研究力量集中在北美、欧洲和大洋洲,其中弗吉尼亚理工大学的研究成果较为显著,各地区、研究机构之间的合作较少,尚未形成规模化的合作网络。
Over the last decade, so-called volunteer tourism, a combination of volunteering and traditional tourism, has become a popular topic of public debate. The conflicts among its characteristics—which include commercial and noncommercial motives, self- interest and altruism, and independence and dependence—have also made it a heated subject in academic research. Using the Web of Science platform as the main data source, the present paper reviews international research achievements in volunteer tourism and analyzes development of the knowledge base, current research foci, and research power based on a visual method of social network analysis. The results show the following.(1)International research on volunteer tourism has followed a continuum from"starting stage"to"rational exploration stage"to"extension stage". Additionally, research foci have changed from motivation for and influences on tourism toward multi-dimensional and comprehensive research that addresses themes such as host – guest relationship research, promotion mechanisms, and project monitoring and evaluation.(2) Based on two types of indicator—in- degree centrality and betweenness centrality—12articles on volunteer tourism can be identified as the most influential and important in developing the knowledge base and network evolution in this domain. These 12 articles cover common themes such as connotation research, tourism impact, cultural exchange and clashes, and project evaluation.(3) The majority of researchers in the volunteer tourism domain have some form of mutual cooperation. There are 19 research groups that consist of at least three researchers. The research groups have formed a core borderline social network structure with the team led by Professors Nancy Mc Gehee and Stephen Wearing at its center. However, there evidently is limited cooperation among the groups and little sharing and reapplication of knowledge.(4) Most major research institutes are part of the cooperation network, which contains 32 two- m