This study probes the influence of community attachment on local entrepreneurs' perceptions of tourism's local impacts. Six latent constructs were derived from social exchange theory and community attachment theory; 11 hypotheses were tested, using structural equation modelling, with data from 297 Taiwanese night market entrepreneurs. Significant theoretical contributions to understanding relationships between entrepreneurs and community were found: effects of community satisfaction on support for tourism were significant and fully mediated by perceived benefits. Community factors and tourist contact frequency were important in entrepreneurs' decisions on further tourism development. Community factors showed low but significant relationships with the perceived costs of tourism, A case is made for sustainable tourism governance measures, including partnership creation, destination management systems, and visitor experience planning.

The commercial application of big data has been gradually under progress in various industries. As one of the significant elements in tourism industry, it concerns whether the hoteliers can secure a competitive advantage. The mining of the data on customers is conducive to the analysis of the behaviors and consuming preferences of customers, which can improve the living experience and satisfaction degree of customers effectively, in an effort to realize the profit of the hotel. J.W. Marriott and The Ritz-Carlton, representatives of the subordinate grand-level hotels in China of Marriott International, are selected as the research targets. This study adopts an qualitative approach. We will have an in-depth interview with managers of the five main sections in each of the hotels, with the purpose of analyzing the tendency of the data use related to customers and its application level. In the light of the obtainment channel and actual application of big data of Marriott in China, it can judged that the hotel mainly appliesthe big data mainly to such aspects as sales of product, social media and online behavior of customers, offline data. In the end, on the basis of the case study, we can reach a conclusion that the commercial application of data in the hospitality industry will provide great assistance for hotel managers in formulating correct strategies of management and marketing.

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T. The perceptions and attitudes of residents towards the impacts of tourism [J]. Resources Science，

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