Configurational Models to Predict Residents’ Support for Tourism Development
本研究通过调查伊朗Hawraman地区202名居民，运用模糊集定性比较分析（fsQCA）构建了预测居民对旅游发展支持的组态模型，揭示了社区依恋、参与度、旅游知识等因素的组合如何影响支持度，为旅游管理提供决策参考。
This empirical study developed and tested configural models for predicting residents’ support for tourism development (RSTD). The main contributions of this study are to propose a new analytical method for modeling the complex interactions of RSTD indicators, advancing the necessary theory to support both the ordinary and heterogonous relationships of RSTD and its antecedents, providing managerial guidelines for both promoting RSTD and controlling the negation of RSTD, and modeling RSTD in Hawraman, Iran, a location in which little information is available about host communities. We administered a survey to collect the views of 202 residents with varying demographic characteristics. To ascertain the occurrences of contrarian cases, cross-tabulation tests were performed, and their results helped to identify the functionality of fuzzy set Qualitative Comparative Analysis (fsQCA) and complexity theory for asymmetrical modeling of RSTD. The predictive validity of causal recipes was also checked. The results from the fsQCA revealed that conditions with a higher level of community attachment, community involvement, knowledge of tourism, power to influence tourism, perceived personal benefit, positive tourism impacts, and satisfaction with quality of life led to a higher RSTD score. The results also indicated that trust in government and tourism negative impacts both positively and negatively, depending on the attributes of other antecedents in the causal recipe, function as determinants of RSTD. This study presents deeper insights into the tourism literature by exploring conditions that indicate high/low RSTD scores, which are useable for modeling other complex tourism issues.