• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.199-206
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• 2020

The purpose of this study is to examine the relationship between intention to participation in sharing economy, digital cultural capital, and social connectedness and then analyze the variables affecting the intention to participate in sharing economy. This subjects were university students. Collected data were statistically processed by PASW 18.0 program using reliability, frequency analysis, T-test, one-way ANOVA, correlation and multiple regression analysis. The results were as follows. First, redistribution participation and cooperative lifestyle participation were relatively high. Second, intention to participate in sharing economy activities differs according to gender, age, monthly allowance, and SNS usage time. Third, intention to redistribution participation increases as the recognition of objectified digital culture capital, embodied digital culture capital, and social connectedness increases. And the intention to cooperative lifestyles participation and information sharing participation increased as digital culture capital increased. Forth, the most significant variable affecting the intention to participate in sharing economic activities was digital cultural capital.

• 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.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.127-133
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• 2018

In recent years, the interest and importance of the sharing economy is increasing, and car sharing services are being activated. This study examined the effect of shopping value perceived by consumers on brand loyalty and intention to use the car sharing service. The purpose of this study is to identify the effects of these relationships on utilitarian and hedonic shopping values. To verify this, data were collected from 364 car sharing users and analyzed using structural equation modeling. As a result, both utilitarian shopping value and hedonic shopping value had a positive effect on brand loyalty. Brand loyalty had a positive effect on intention to use. Therefore, this study can confirm that the use situation of car sharing service is a theoretical and practical point in suggesting shopping value considering consumption attribute. This implies that a consumer-oriented approach to the sharing economy is needed.

• 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.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.97-107
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• 2020

This study aims to conduct a comprehensive meta-study from the perspective of content analysis to explore trends in Korean academic research on the sharing economy by using the big data analytics. Comprehensive meta-analysis methodology can examine the entire set of research results historically and wholly to illuminate the tendency or properties of the overall research trend. Academic research related to the sharing economy first appeared in the year in which Professor Lawrence Lessig introduced the concept of the sharing economy to the world in 2008, but research began in earnest in 2013. In particular, between 2006 and 2008, research improved dramatically. In order to grasp the overall flow of domestic academic research of trends, 8 years of papers from 2013 to the present have been selected as target analysis papers, focusing on titles, keywords, and abstracts using database of electronic journals. Big data analysis was performed in the order of cleaning, analysis, and visualization of the collected data to derive research trends and insights by year and type of literature. We used Python3.7 and Textom analysis tools for data preprocessing, text mining, and metrics frequency analysis for key word extraction, and N-gram chart, centrality and social network analysis and CONCOR clustering visualization based on UCINET6/NetDraw, Textom program, the keywords clustered into 8 groups were used to derive the typologies of each research trend. The outcomes of this study will provide useful theoretical insights and guideline to future studies.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.95-109
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• 2022

A blockchain based platform can ensure data integrity, reliability, and security by applying distributed processing and encryption technology for transaction records. In the existing knowledge sharing platform, the created knowledge could not be shared or utilized sufficiently due to information asymmetry and centralization. However little research has been done so far on this area. In this study, we will examine case studies and development potentials for blockchain based knowledge sharing platforms based on previous studies of blockchain technology, token economy, knowledge sharing, motivation theory, and social exchange theory. Blockchain based platforms can contribute to the activation of knowledge sharing, by resolving information asymmetry, simplifying unnecessary work procedures through unified knowledge sharing flow and excluded centralization of authority by decentralization, and strengthening access and utilization of the knowledge produced by the platform.

• 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 Digital Convergence
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• v.18 no.1
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• pp.103-109
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• 2020

As part of the sharing economy service, the present study is not only about the positive aspects of O2O services, but also about the consumer ethical perceptions of recent conflicts with existing business and labor markets, trust of platform, and service utility on consumer satisfaction and intention to recommend O2O services. To test hypotheses, data were collected and analyzed for 149 samples, focusing on the car sharing service, an example of the sharing economy service, which is becoming an issue. As a result, the ethical self-identity of the consumer, the trust of the platform, and the service utility, all affected the service satisfaction, whereas only the hedonic utility and trust of the platform had a positive effect on the intention to recommendation. This study is meaningful in that it examines the influence of service utility focusing on ethical consciousness and social perspective of consumers, rather than on the point of consumption such as ethical consumption position and trust of platform based on sharing economy service.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.109-118
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• 2019

The purpose of this study is to deliver both market-practical and civil-centric political implication for sharing economy by investigating the nature of consumer-adoption for car-sharing service. With the global interest and market proliferation of the sharing economy, various service models for sharing idle resources have also been released in Korea. Particularly, in case of car sharing service, public - private partnership projects are spreading rapidly in various local governments including Seoul, along with the growing demand for alternative transportation system centering on the urban area. This study conducted an empirical study on the process of accepting the car sharing service by analyzing the data collected from users of the car sharing service "Sharing Car(Nanum Car)" of Seoul Metropolitan Government. A survey was conducted on 281 users in their twenties who are in the age of main use among the experienced users of the "Sharing Car(NaNum)" residing in Seoul. The result of analysis on the relationship between these users' perceived value and intention to use the vehicle sharing service would provide implications for establishing consumer(citizen)-centeric policies as well as market implications.

• The Journal of Information Systems
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• v.27 no.2
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• pp.197-219
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• 2018

Purpose The purpose of this study is to examine what motivates users to adopt one of the emerging applications for collaborative consumption of sharing economy. Using the self-determination theory, motivation theory and TAM(Technology Acceptance Model) as the theoretical framework, this study illustrates important factors that influence adoption of collaborative consumption service. We develops the ICTs(Information and Communications Technologies) initiatives and motivation model to collaborative consumption. Design/methodology/approach This paper makes use of a quantitative methodology using survey questionnaire that allows for the measurement of the eight constructs(System Availability, Contents Quality, Design & Personalization, Security & Privacy, Emotional & Social Value, Economic Value, Attitude, Adoption & Consumption) contained in the hypothesized theoretical model on the basis of the prior literatures. Data collected from a sample of 227 respondents who have used the collaborative consumption services and provided the foundation for the examination of the proposed relationships in the model. Findings This study has the following implications for the users and providers of CC platforms and services. The ICTs initiatives (System Availability, Contents Quality, Design & Personalization, Security & Privacy) are the influential factors that motivate the emotional and social value to CC. On the other hand, The ICTs initiatives (System Availability, Contents Quality) are not very significant factors of economic value to CC. The empirical analysis result indicate that there are significant causal effect among emotional & social value, economic value, and adoption to CC. This study provides important theoretical implications for innovation adoption research through an empirical examination of the relationship between ICTs initiatives, motivation factors to collaborative consumption in the sharing economy.