• Journal of Service Research and Studies
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• v.11 no.3
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• pp.17-30
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• 2021

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.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.293-299
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• 2018

The purpose of this study is to investigate the reasons for users to use accommodation applications and thefacts that affect reuse, and to suggest a design that can be used more conveniently for users. O2O services have diversified as more generations are enjoying leisure activities and the mobile market is expanding. Especially, the most important service in leisure activities is accommodation service. For the study, we surveyed about using accommodation application for 103 men and women in their 20s and 30s. Surveys shows that the main reason for users to reuse application is discounted services through events. Therefore, we will suggest anew design by collecting the inconveniences of users when using applications. We hope that the accommodation market can be expanded not only in Korea but also overseas markets by improving the services users, who use accommodation application, want though this study.

• Information Systems Review
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• v.21 no.2
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• pp.69-89
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• 2019

Recently, consumers are increasingly interested in the sharing economy, which utilizes various resources by sharing unused or under-used products/services with others. This study focuses on Airbnb, a representative sharing economy platform, to identify the success factors of the sharing accommodation services. The key properties of sharing accommodation services are extensively surveyed from extant literature and are classified them into the three important factors (economic, convenience, and trust) that influence the success of room-sharing services. The research data include 1,673 Airbnb hosts who offered accommodations in New York City, USA, in June 2018. The research variables of economic-, convenience-, and trust-related factors are utilized in the empirical analyses. The results of this study show that the number of available facilities, flexibility of refunds, the response rate and time to customer requests, and the status of Super host are positively associated with guest satisfaction from sharing accommodation services. This study bears significant managerial implications by suggesting a set of practical guidelines to participants in sharing accommodation services.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.9-12
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• 2020

에어비엔비와 같은 공유숙박시스템은 하루 400 만명 이상 이용하고 있는 거대한 시장이다. 일반적으로 지출해야 할 숙박비용보다 더 저렴한 가격이나 좋은 조건으로 머물 곳을 찾을 수 있다는 점에서 많은 사람들이 이용하고 있다. 그러나 호스트와 게스트에게 부담되는 과도한 수수료 문제가 존재한다. 또한 기존의 공유숙박 시스템은 호스트가 게스트에게 직접 비밀번호나 열쇠를 전달하기 때문에 보안 상의 이슈가 발생한다. 본 연구는 공유숙박시스템에 스마트 컨트랙트 기술을 도입하여 해당 이슈들을 개선, 해결하여 더 안전하고 합리적인 공유숙박시스템을 제안한다.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.1
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• pp.93-109
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• 2022

Today, digital transformation in providing service value to companies that combine service and technology is becoming a necessity. In the transition period of digital transformation, various factors such as data, artificial intelligence technology, and partnerships can become competitive factors. In particular, digital transformation, which combines information and services with customers, creates a new business model that changes the entire industry and is presented as core competitiveness that creates customer value. From these aspects, the purpose of this case study is to derive competitive advantages on digital transformation using the case of company S. First, the study analyzes the same type of industry based on the case of app service. Second, this study presents preference factors in the operational process to enhance competitiveness by expanding user participation in accommodation reservation services. In addition, the customer service value model provides through the analysis of the five competitive factors in the operational process. This study elaborates the implications of the customer service value creation model in terms of new opportunities and challenges in digital transformation as a new customer service strategy.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.83-89
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• 2021

This study explore the perceived differences of factors influencing the shared accommodation in China, and the influencing paths of consumers' use of shared accommodation. This paper collects the questionnaire survey of the Chinese shared accommodation user and applies method of Amos V23.0. The results showed that perceived usefulness and perceived pleasure had positive effects on trust, and they also have indirect positive effects on perceived intention through trust, while perceived risk and perceived ease of use had no significant effects on trust. The conclusion is helpful to promote the long-term development of sharing accommodation companies by satisfying the needs of consumers from the point of view of consumers.

• Proceedings of the KAIS Fall Conference
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• 2008.11a
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• pp.144-149
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• 2008

호텔 기업은 고객에게 최고의 숙박과 식사 시설을 제공하여야 한다. 또한 고객에게 최고 품질의 서비스를 해야 한다. 고객의 호텔 선택 기준은 매우 까다롭다. 숙박 이용, 식당 이용, 컨벤션 이용 의도에 따라 호텔 선택의 기준도 다르며, 호텔 인지도도 달라진다. 본 연구는 이러한 호텔 이용자의 이용 의도에 따라 호텔 선택의 영향을 분석하였다. 분석 방법은 구조적 모형 검증 방식을 통하여 실시하였다. 연구 결과의 특징은 식당 이용, 숙박 이용, 컨벤션 이용 의도에 따라 호텔 선택을 하고 있는 것으로 나타났다. 그렇지만 호텔 브랜드 지각 또는 서비스 품질지각에 따라 호텔을 선택하는 가설을 채택하지는 못했다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.321-331
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• 2020

The purpose of this study is to explore the impact of home stay platform on guests' willingness to comment online under the Shared home stay business model. Shared platform of home stay facility in addition to providing a variety of support services, help the landlord to the tenant do offline accommodation services, implementation, trading, will need to take some measures to actively promote the tenant groups to the landlord, the evaluation is objective, effective and sufficient number in order to better promote the sharing credit ecological establishment of home stay facility. In this study, consumers who have used the Shared home stay platform are taken as the research objects. The survey method adopts network questionnaire survey and Likert seven subscales. The statistical software SPSS24.0 program is used to process the data. Firstly, descriptive statistical analysis was conducted, followed by validity analysis and reliability analysis. After the reliability and validity of the questionnaire were determined, correlation analysis and regression analysis were used to verify the proposed hypothesis. The research results of this study are summarized as follows :(1) the usability of platform comment function, guest satisfaction and platform reward have a positive impact on the guest online comment willingness; (2) The credit mechanism of the platform has a positive regulating effect on the process of tenant satisfaction influencing tenant comment intention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.5
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• pp.1422-1427
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• 2008

Hotel companies have to offer well furnished of a lodging and a meal and must keep the best customer supporting service. Because, customers have very strict standards and require fancy service to hotel that they pay. The Customers have different criteria to select hotel according to their purpose such as accommodation, banquet or convention. Hotel recognitions are also different along the purposes. I analyzed effects of hotel choice by intention to use hotel of customers in this research. To verify the effects, I used a structured model by AMOS 4.0 This study results show that the customers chose hotel in accordance with their intention of stay ; accommodation, banquet or convention etc. However, it is not significant hypothesis, that the guests select hotel along the brand recognition or the service perception.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.458-460
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• 2020

스마트미터의 기술 발달과 보급으로 인해 전력데이터의 수집이 보다 수월 해짐에 따라 각 시스템에 효율적인 맞춤 서비스 제공을 위한 전력 데이터 분석 기술에 관한 다양한 연구가 활발하게 진행되고 있다. 관련하여 본 논문에서는 숙박업소의 각 방마다 전력소비량을 측정 및 수집하여 전력소비패턴을 분석하고 특징 추출 및 XGBoost 를 이용한 머신러닝 분석방법으로 각 방의 사람 재실 여부를 판별하는 방법을 소개한다. 이와 같은 연구를 통해 추후 숙박업소 혹은 숙박업소를 이용하는 소비자들의 맞춤 서비스 제공에 응용 및 적용 할 수 있다.