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Article type: Research Article
Authors: Yi, Kuia | Mao, Xiulanb; * | Cheng, Hongleia | Zhang, Ligangc | Zhang, Diand
Affiliations: [a] School of Economics and Management, East China Jiaotong University, Nanchang, China | [b] School of Economics and Management, Jiangxi Industry Polytechnic College, Nanchang, China | [c] School of Literature and Law, East China University of Technology, Nanchang, China | [d] School of Business Administration, Jiangxi College of Foreign Studies, Nanchang, China
Correspondence: [*] Corresponding author. Xiulan Mao, School of Economics and Management, Jiangxi Industry Polytechnic College, Nanchang 330096, China. E-mail: [email protected].
Abstract: Evaluating the capability of smart information service and exploring the smart information service elements in scenic areas can accelerate the smart tourism industry progress to a highly effective administrative and high quality of smart tourism service. This study aims to exploring the connections of a variety of smart information service elements in scenic areas, analyzing and evaluating the capability of smart information service, mapping a positive resolution to improve the capability of information service in scenic spots. Based on a synthetic method that combining Structural Equation Modeling (SEM) and Analytic Network Process (ANP), explicitly using the SEM to extracting the key factors and mapping each factors’ co-relations, and in further step, using the ANP to carry a fuzzy evaluation of weighing the information service capability and each element in the case of Jiangxi Province in China, the result shows that the method of “SEM-ANP” is better fit than single ”SEM” or ”ANP”, the evaluating system for smart information service in scenic areas is significantly innovative and scientific to supply effective suggestions for policy makers.
Keywords: Smart scenic areas, information service construction, “SEM-ANP” synthetic evaluation
DOI: 10.3233/JIFS-202536
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 2, pp. 2765-2777, 2021
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