• 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 Korea Multimedia Society
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• v.19 no.9
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• pp.1698-1709
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• 2016

These days, anyone can easily product and share their own content through a web service such as blogs and SNS. However, contents are being operated separately because of the space limitation in individual SNS. Therefore, it is hard to search contents efficiently in individual SNS. To solve this problem, this paper propose a "Private Contents Management and Sharing Service with Voluntary Sharing Economy System." The system is in part [Input], [Save] and it provides a way to collect the content that are scattered on the Internet based on the creation of personal index. It also proposes a more systematic content management and sharing by creating and updating the website standard index by introducing an index Coordinator concept. Furthermore in [Use] section, by providing a portion of the index as the primary search results, it avoid unclassified content list which was simply collected by users. In conclusion, unlike previous studies, this system will contribute to the acquisition and management of interspersed content and ultimately contribute to the shared activation by preventing secondary processing and unauthorized processing to the original article.

• New & Renewable Energy
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• v.17 no.2
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• pp.9-23
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• 2021

In Korea, various community investment renewable project models are being implemented to increase community acceptance of renewable energy. An important factor for enhancing local acceptance is that renewable energy projects have a positive effect on revitalizing the local economy such as income increase or job creation for residents and local companies. To maximize the local economic effect of large-scale community investment renewable energy projects, this study developed an evaluation index for local economy activation, whose indicators are the local return on investment, local companies' participation, local job creation, regional cooperation, transparency, and governance. Analysis of existing evaluation indicators and current renewable projects, financial analysis, and expert interviews were used in this research. The pilot evaluation determined that, the local economic effect was high in the following order: a fund investment wind project (Gangwon), benefit-sharing wind project (Jeju), and general wind project. In particular, residents' investment amount, the number of participating residents, and the amount and transparency of the regional cooperation fund were key factors to expand the effect of local economy activation. This evaluation index could be used in public bidding for renewable energy projects such as offshore wind zoning areas of local government.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.637-645
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• 2020

A free-market economic system supported by the progress of the Industrial Revolution 4.0 has given birth to a sharing economy with a disruptive business model. In many ways, this business model is more effective, efficient, and makes it easy for businesses and consumers. However, because disruptive innovation is not asymmetrical with the conventional business that sustains innovation, several regulatory issues arise because it is fundamentally very different and cannot be regulated by standard law. Disruptive innovation may create chaos if it is regulated by norms that are used to regulate conventional business. This research was conducted with a normative method, which examines various theories, principles, laws and regulations to get justification for how the law should govern. The findings of this study are: competition law must be designed pragmatically so that it can keep pace with changes in business models that are rapidly changing. For this reason, it is necessary to shift regulatory authority from the Government to business people to make self-regulation, as a rule, that was born from the agreement of the business actors themselves. Self-regulation is considered more effective in maintaining fair competition, so that the market will be more dynamic, and consumers will be more prosperous.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.4
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• pp.612-629
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• 2021

This research started from hypothesizing that people hesitate to use a fashion sharing economy service due to the consumers' concerns or fears about contagion. The study explores how backstage information can affect consumers' responses to this service, especially their perceived risk and transparency. An online experiment was conducted to test the research questions through Amazon MTurk. The data of 351 participants in total were analyzed. The results show that backstage information, presenting hidden information with images of various product journeys, from packaging to return and laundry, had a positive effect on transparency as well as perceived risk. Both transparency and perceived risk positively affected the service's perceived honesty, and honesty also positively affected consumer engagement. Through the findings that providing backstage information had a positive effect on perceived risk, but the risk had a positive effect on perceived honesty, we can expect the reaction to the information itself to possibly be negative. However, consumers can consider the service as honest at least, which opens the possibility of expecting positive consumer attitudes or responses in a market in the near future.

• Journal of Information Processing Systems
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• v.18 no.1
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• pp.75-88
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• 2022

With the development of the sharing economy, existing recommender services are changing from user-item recommendations to user-user recommendations. The most important consideration is that all users should have the best possible satisfaction. To achieve this outcome, the matching service adds information between users and items necessary for the existing recommender service and information between users, so higher-level data mining is required. To this end, this paper proposes a user-to-user matching service (UTU-MS) employing the prediction of mutual satisfaction based on learning. Users were divided into consumers and suppliers, and the properties considered for recommendations were set by filtering and weighting. Based on this process, we implemented a convolutional neural network (CNN)-deep neural network (DNN)-based model that can predict each supplier's satisfaction from the consumer perspective and each consumer's satisfaction from the supplier perspective. After deriving the final mutual satisfaction using the predicted satisfaction, a top recommendation list is recommended to all users. The proposed model was applied to match guests with hosts using Airbnb data, which is a representative sharing economy platform. The proposed model is meaningful in that it has been optimized for the sharing economy and recommendations that reflect user-specific priorities.

• The Journal of Information Systems
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• v.26 no.4
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• pp.87-106
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• 2017

Purpose The main purpose of this study is to examine whether the expectations and outcomes of the bicycle-sharing service significantly influence users' expectation disconfirmation, satisfaction, and continuous intention to use. In addition, we will verify the moderating effect of social interaction in bicycle-sharing service on the relationship between satisfaction and continuous intention to use. Design/methodology/approach Based on previous studies dealing with determinants of bicycle use, users' expectations and outcomes of the bicycle-sharing service were measured by three variables; accessibility, convenience, and safety. To collect the data, we conducted a survey of undergraduates at a university located in Seoul for three weeks, beginning March 6. Participants completed the first questionnaire, which measured expectations of the bicycle-sharing service based on the attributes and social interaction before using the BSS. After a few weeks, the same participants completed the second questionnaire, which measured outcomes of the outcome, disconfirmation, satisfaction, and continuous intention to use the BSS. Only participants who completed both surveys received monetary compensation. In order to test hypothesis, the Smart Partial Least Square (SmartPLS) modeling technique was applied. Findings In terms of main effects, based on the expectation disconfirmation theory, the results indicated that there were significant relationship among expectation, performance, disconfirmation, and satisfaction. In particular, it was verified that disconfirmation completely plays a mediating role between performance and satisfaction. In addition, the moderating effect of social interaction was examined. There was a significant interaction effects of social interaction and satisfaction on the continuous intention to use for leisure purpose. Finally, this study is expected to contribute to the study of resource sharing in the field of tourism and provide baseline information for future research.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.167-175
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• 2020

With the recent revitalization of the shared economy, bike-sharing services are gaining huge popularity in the bicycle sector. Bike-sharing services are characterized by reducing environmental pollution and borrowing bicycles at low prices. This study investigated the mechanisms for the formation of customer's continuance intention toward bike-sharing services. The theoretical framework clarified the role of perceived value and trust in enhancing customer's continuance intention. Perceived usefulness, perceived ease of use and perceived enjoyment are considered as the vital factors of enhancing perceived value and trust in a service provider. The research model was validated by data from 217 bike-sharing users in China. Both perceived value and trust in a service provider had a significant impact on user's continuance intention. However, the analysis results showed that perceived usefulness does not have a significant impact on both perceived value and trust in a service provider. Perceived ease of use and perceived enjoyment played a significant role in enhancing both perceived value and trust in a service provider. Our results are expected to provide academic and practical implications for bike-sharing services.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.133-145
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• 2018

This paper proposes a desirable regulatory measure for the rapidly growing shared economic platform. The development and innovation of digital technology is expected to create new services and new economic and industrial values, but it also raises concerns, challenges about social trust issues arising from conflicts of interest with existing industries. Although sharing economies also creates new forms of supply and demand and grows rapidly around the world with innovative trading methods, institutional limitations are still being exposed in the major cities in terms of conflicts with existing industrial values. In order to reduce the social costs associated with the regulatory process and reach the appropriate regulatory policy goal, this paper proposes a co-regulation approach considering the sharing economic characteristics.

• Fashion & Textile Research Journal
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• v.24 no.1
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• pp.53-65
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• 2022

The fashion industry is facing numerous sustainability-related challenges due to growing consciousness about the egregious extent of global environmental problems. This study examines research trends on sustainable fashion based on five macro trends related to sustainable innovation in the fashion industry. Using the content analysis and network analysis methods, 115 research papers published in domestic and international journals from 2017 to 2021 were collected and analyzed. The study conclusions are as follows. First, majority of domestic papers(55.41%) focused on circular economy, whereas other topics such as consumer awareness(1.35%) and corporate social responsibility(2.70%), are yet to be thoroughly examined; majority of international papers(53.65%) focused on sharing economy and collaborative consumption, whereas other topics such as technological innovation(2.44%), are yet to be thoroughly examined. Second, domestic papers have found that many brands(68.57%) are applying the concept of circular economy, whereas international papers have found that many brands(51.56%) are applying the concept of sharing economy and collaborative consumption. The study results provide useful data for corporate management in the fashion industry.