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Propose on Sharing Accommodation Service Model through Comparison Research

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주제분류학제간연구

초록

In the context of Sharing Accommodation has become a new type of accommodation choice for customers. The purpose of this study is to improve the existing defects of Sharing Accommodation Services through insight into the pain points of customer experience, so as to improve customer satisfaction. In this study, Airbnb and Tujia were selected as the subjects for comparative study. By collecting and sorting out references, the research background of Sharing Accommodation is analyzed in depth. Research methods of Service Design, such as Customer Journey Map and Service Blueprint, are adopted to gain insight into customer needs, identify pain points and propose hypothesis of service optimization. Tools such as Kano Model and Potential Customer Satisfaction are used to test and determine three schemes for optimizing the service. Finally, the results are displayed through Service Scenario. The research results can help operators of Sharing Accommodation to identify and improve the elements of service and provide a higher quality customer experience, thus promoting the healthy development of Sharing Accommodation market.

Abstract

In the context of Sharing Accommodation has become a new type of accommodation choice for customers. The purpose of this study is to improve the existing defects of Sharing Accommodation Services through insight into the pain points of customer experience, so as to improve customer satisfaction. In this study, Airbnb and Tujia were selected as the subjects for comparative study. By collecting and sorting out references, the research background of Sharing Accommodation is analyzed in depth. Research methods of Service Design, such as Customer Journey Map and Service Blueprint, are adopted to gain insight into customer needs, identify pain points and propose hypothesis of service optimization. Tools such as Kano Model and Potential Customer Satisfaction are used to test and determine three schemes for optimizing the service. Finally, the results are displayed through Service Scenario. The research results can help operators of Sharing Accommodation to identify and improve the elements of service and provide a higher quality customer experience, thus promoting the healthy development of Sharing Accommodation market.

참고문헌 (15)

  1. Newlands, G., "Power in the sharing economy" (2017), Social Science Electronic Publishing
  2. China Sharing Accommodation Report 2020, "State Information Center(SIC), China", SIC, ~ (2020)
  3. Guttentag D., "Airbnb: Destructive innovation and the rise of an informal tourism accommodation section in Tourism", Current Issues in Tourism, pp.1~26 (2013)
  4. Zervas G, "The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry", SSRN Electronic Journal, 2013, pp.28~31 (2013)
  5. "Tujia" (2019)[URL]
  6. Ert E., "Trust and reputation in the sharing economy : The role of personal photos in Airbnb", Tourism Management, 55, pp.62~73 (2016)
  7. Tussyadiah I P., "Impacts of Peer-to-Peer Accommodation Use on Travel Patterns", Jourmal of Travel Research, 2015, pp.1022~1040 (2015)
  8. Lian Yu-e, "The business model of Airbnb in South China under the sharing economy", Master, pp.2018
  9. Tussyadiah i P, "Identifying salient attributes of peer-to-peer accommodation experience", Journal of Travel &Tourism Marketing, 34(5), pp.636~652 (2016)
  10. Robin Roy, "Sustainable product-service systems", Futures, 32(3-4), pp.289~299 (2000)
  11. China Sharing Accommodation Report 2018, "State Information Center(SIC), China", SIC, ~ (2018)
  12. Shostack G L, "Designing Services That Deliver", Harvard Business Review, 62(1), pp.133~139 (1984)
  13. Kano, Noriaki, "Attractive Quality and Must-Be Quality", Journal of the Japanese Society for Quality Control, 41, pp.39~48 (1984)
  14. Timko, M., "An experiment in continuous analysis", Center for Quality of Management Journal, 2(4), pp.17~20 (1993)
  15. A Study on the Family Restaurant Customers’Needs by Kano Model & Potential Customer Satisfaction Improvement Index, "Yun, Ho Cheol", Korean Institute Of Industrial Engineers, 701~708 (2005)

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