EVALUATING THE ORDERLINESS OF NONLINEAR DYNAMIC TOURISM SYSTEM WITH ENTROPY AND INFORMATION ENTROPY

Qi-Jie Jiang, Xin-Ying Xu, Hosam Lafi Aljuhani () and Ge Ke
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Qi-Jie Jiang: Business School, Chengdu University, Chengdu 610106, P. R. China
Xin-Ying Xu: ��Economic School, Erasmus University Rotterdam, Rotterdam, 3000 DR, Netherlands
Hosam Lafi Aljuhani: ��Department of Computer Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Ge Ke: �School of Business Administration, Chongqing University of Science and Technology, 401331, P. R. China

FRACTALS (fractals), 2022, vol. 30, issue 02, 1-11

Abstract: Tourism destination system can be considered as a complex nonlinear dynamic system. It’s difficult to accurately evaluate the operational orderliness with existing evaluation methods due to the complexity and dynamics of system. This paper attempts to introduce the concept of entropy in thermodynamics into organizational management, hoping to establish a nonlinear dynamic method for assessing destination system orderliness from management lens. Combining information entropy formula and the characteristics of tourism destination, this paper analyzed the entropy flow and negative entropy flow in the destination business ecosystem. Then an entropy evaluation index was constructed and the weight of each specific primary indicator and secondary indicator were calculated with the combination of analytic hierarchy process (AHP) and principal component analysis (PCA). Finally, taking JIUZHAI Valley as an example, this paper tested and modified the nonlinear dynamic evaluation approach. The nonlinear dynamic evaluation approach not only emphasize the overall operation state and process of destination system, but also take into account the nonlinear relationships amongst the internal elements of destination, contributing to overcoming the defects and deficiencies of traditional evaluation methods.

Keywords: Nonlinear Dynamic System Evaluation; Tourism Destination; Entropy Theory; Dissipation; JIUZHAI Valley (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218348X22401090

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