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A dynamic decision support system for evaluating peer-to-peer rental accommodations in the sharing economy
Affiliation:1. Business Systems and Analytics Department, Distinguished Chair of Business Analytics, La Salle University, Philadelphia, PA, 19141, USA;2. Business Information Systems Department, Faculty of Business Administration and Economics, University of Paderborn, D-33098, Paderborn, Germany;3. Department of Management, University of Tehran, Tehran, Iran;4. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;1. Department of Business Administration, University of Lleida, C/Jaume II, 73, 25001, LLEIDA, Spain;2. INSPIRES Research Institute, University of Lleida, C/Jaume II, 69, 25001, LLEIDA, Spain;1. Department of Apparel, Events, and Hospitality Management, College of Human Sciences, Iowa State University, Ames, IA, 50010, USA;2. Department of Marketing and Tourism Management, College of Business Administration, Capital University of Economics and Business, Beijing, 100070, China;3. Hospitality & Tourism Management, Pamplin College of Business, Virginia Tech, Blacksburg, VA, 24061, USA;4. Culture, Creativity and Management, Division of Culture and Creativity, BNU-HKBU United International College, Zhuhai, Guangdong, 519085, China;1. William F. Harrah College of Hospitality Management, University of Nevada Las Vegas, 4505 S. Maryland Parkway, Suite 351, Las Vegas, NV, 89154, United States;2. University of Houston, Conrad N. Hilton College of Hotel and Restaurant Management, University of Houston, 4500 University Drive, Suite 236, Houston, TX 77204, United States;1. School of Hospitality and Tourism Management, University of Surrey, 56AP02 Austin Pearce Building, Guildford, GU2 7XH, United Kingdom;2. School of Hotel and Tourism Management, The Hong Kong Polytechnic University, 17 Science Museum Road, TST East, Kowloon, Hong Kong;1. Daniels College of Business, University of Denver, 2044 E Evans Avenue Suite 331, Denver, CO, 80208, USA;2. The Collins College of Hospitality Management, California State Polytechnic University, Pomona, 3801 West Temple Avenue, Pomona, CA, 91768, USA;3. School of Information Management, Center for E-commerce Research and Development, Wuhan University, Luo-jia-shan, Wuhan, Hubei Province, 430072, PR China
Abstract:Accommodation accounts for one of the biggest expenses while traveling, and deciding where to stay is often confusing and time-consuming. Fortunately, travelers have more options than ever before because of the substantial growth of the peer-to-peer (P2P) short-term rentals in the sharing economy. Designing a user-friendly system that considers travelers’ preferences in choosing the right accommodation can enhance customer satisfaction and increase profitability. We propose a dynamic decision support system based on the theory of multi-criteria decision making to assist travelers in personalizing their preferences and finding quality accommodations in the dominant P2P market that aligns with those preferences. We use the fuzzy best-worst method to measure the intensity of the user’s preferences and the fuzzy technique for order of preference by similarity to the ideal solution (TOPSIS) to score and evaluate alternative P2P rental properties. We present a case study in the P2P rental accommodations industry to demonstrate the applicability of the method proposed in this study.
Keywords:Peer-to-peer rental accommodation  Sharing economy  Preference modeling  Best-worst method  TOPSIS  Fuzzy logic
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