The Experts below are selected from a list of 25977 Experts worldwide ranked by ideXlab platform
Xiang Li - One of the best experts on this subject based on the ideXlab platform.
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Tourism Destination image conceptual problems and definitional solutions
Journal of Travel Research, 2016Co-Authors: Xiang LiAbstract:Although Tourism Destination image (TDI) has been extensively studied, the nature and scope of TDI remain vague. This study aims to address this conceptual problem from a modernist perspective. Forty-five representative TDI definitions are analyzed, and a new definition is proposed by adopting a “seven-step” procedure derived from definition theory in logic studies. Results show that (1) currently TDI is defined mainly as the mental/total impressions/perceptions held by tourists pertaining to a Destination, (2) such definitions are quasi-theoretical in type and created by roughly following the connotative definition technique, (3) the quality of these definitions is generally low, and (4) the new definition proposed in this study better captures the essence of TDI and considerably reduces TDI’s internal and external vagueness. In defining a key Tourism concept, this study has notable implications for advancing TDI research and defining Tourism concepts more rigorously.
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china s smart Tourism Destination initiative a taste of the service dominant logic
Journal of Destination Marketing and Management, 2013Co-Authors: Dan Wang, Xiang Li, Yunpeng LiAbstract:Abstract China's “smart Tourism Destination” initiative has sparked some research interests lately. This essay suggests taking the service-dominant logic as an alternative angle to understand the rationale and implications of smart Tourism development in China.
James Newton - One of the best experts on this subject based on the ideXlab platform.
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determinants of Tourism Destination competitiveness in asia pacific comprehensiveness and universality
Journal of Travel Research, 2005Co-Authors: Michael J. Enright, James NewtonAbstract:Recent conceptual work on Tourism Destination competitiveness has proposed a comprehensive approach that adds industry-level competitiveness attributes to more conventional Tourism Destination attributes. This study builds on these ideas by generating sets of both attributes, developing a methodology for assessing their relative importance and examining the degree to which their relative importance varies across locations. Survey data were gathered from Tourism industry practitioners in three closely competing Destinations in Asia Pacific and were subjected to statistical testing. The results provide strong empirical support for the inclusion of both industry-level and Destination attributes in studies of Tourism competitiveness. The results also question approaches to competitiveness that assume that the relative importance of attributes is common across locations, suggesting, rather, that the importance of competitiveness attributes may vary across locations, depending on product mix and target market s...
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Tourism Destination competitiveness a quantitative approach
Tourism Management, 2004Co-Authors: Michael J. Enright, James NewtonAbstract:Abstract Recently, researchers have suggested an approach to Tourism Destination competitiveness that goes beyond conventional Destination attributes to include, in addition, generic business factors of competitiveness. Despite its apparent promise, there appears to have been little applied research building on this combined approach. This paper is designed to address this gap. Factors pertaining to the competitiveness of both the Destination's attractions and its Tourism industry were used to construct an instrument that was used to survey Tourism practitioners in Hong Kong. Respondents were asked to rate the factors for both importance and relative competitiveness, in a method consistent with importance performance analysis (IPA). The results were analysed and discussed by reference to the IPA Grid. The paper concludes that the study has developed a promising research methodology that offers a quantitative, theoretically informed empirical analysis that will be able to provide a basis for managerial and policy decisions in the Tourism industry.
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Tourism Destination competitiveness: A quantitative approach
Tourism Management, 2004Co-Authors: Michael J. Enright, James NewtonAbstract:Recently, researchers have suggested an approach to Tourism Destination competitiveness that goes beyond conventional Destination attributes to include, in addition, generic business factors of competitiveness. Despite its apparent promise, there appears to have been little applied research building on this combined approach. This paper is designed to address this gap. Factors pertaining to the competitiveness of both the Destination's attractions and its Tourism industry were used to construct an instrument that was used to survey Tourism practitioners in Hong Kong. Respondents were asked to rate the factors for both importance and relative competitiveness, in a method consistent with importance performance analysis (IPA). The results were analysed and discussed by reference to the IPA Grid. The paper concludes that the study has developed a promising research methodology that offers a quantitative, theoretically informed empirical analysis that will be able to provide a basis for managerial and policy decisions in the Tourism industry. © 2004 Elsevier Ltd. All rights reserved.
Yunpeng Li - One of the best experts on this subject based on the ideXlab platform.
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china s smart Tourism Destination initiative a taste of the service dominant logic
Journal of Destination Marketing and Management, 2013Co-Authors: Dan Wang, Xiang Li, Yunpeng LiAbstract:Abstract China's “smart Tourism Destination” initiative has sparked some research interests lately. This essay suggests taking the service-dominant logic as an alternative angle to understand the rationale and implications of smart Tourism development in China.
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China's "smart Tourism Destination" initiative: A taste of the service-dominant logic
Journal of Destination Marketing and Management, 2013Co-Authors: Dan Wang, Xian Li, Yunpeng LiAbstract:China's "smart Tourism Destination" initiative has sparked some research interests lately. This essay suggests taking the service-dominant logic as an alternative angle to understand the rationale and implications of smart Tourism development in China. © 2013 Elsevier Ltd.
Martin Oppermann - One of the best experts on this subject based on the ideXlab platform.
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Tourism Destination loyalty
Journal of Travel Research, 2000Co-Authors: Martin OppermannAbstract:Despite the widespread acceptance that loyalty is a major driving force in successful companies, Tourism Destination loyalty has not been investigated. This study explores the application and usefulness of Destination loyalty. Based on the brand loyalty literature, a number of loyalty measurements are suggested. The application of two measurement approaches to primary data on lifelong travel patterns by New Zealand residents indicate their validity. Through the collection and analysis of data on tourists’ Destination loyalty, Destinations will be able to determine the composition of its customers with respect to their Destination loyalty. It will also facilitate a better forecasting and demand estimation.
Yuksel Ekinci - One of the best experts on this subject based on the ideXlab platform.
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symbolic consumption of Tourism Destination brands
Journal of Business Research, 2013Co-Authors: Yuksel Ekinci, Ercan Sirakayaturk, Sandra PreciadoAbstract:This study investigates the symbolic meaning of Tourism Destination brands. Specifically, this study examines the relationship between symbolic consumption of Tourism Destination brands and Destination brand loyalty. A structural equation model tests data collected from international tourists (n=361) who visited a Mediterranean resort city. The results validate three dimensions of symbolic Tourism Destination brand—self-congruence, brand identification, and lifestyle-congruence affect Destination brand loyalty. Practical and theoretical implications are discussed within the general framework of consumer behavior theory.