• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.205-216
• /
• 2019

The sharing economy, which maximizes the value of resources by sharing, is appearing in various sectors today and is gradually expanding with the development of ICT. This study identified factors affecting the intention to use the services of the sharing economy with a focus on the sharing accommodation platform services. As the intention to use the sharing economy service is divided into the intention to use as a taker(guest) and a provider(host), those influencing factors were analyzed respectively. Results showed that collaborative norm, economic benefit and honorary compensation affected the intention to use as a guest. Openness to experience, economic benefit, and honorary compensation increased the intention to use as a host. Economic benefit made a greater impact on the intention to use as a guest, while honorary compensation enhanced the intention to use as a host.

• Journal of Digital Convergence
• /
• v.18 no.7
• /
• pp.167-175
• /
• 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 Convergence for Information Technology
• /
• v.7 no.4
• /
• pp.195-203
• /
• 2017

Sharing economy which is sharing and borrowing goods, space, and services as a social and economic activity based on the Internet and smart phones is a new research topic in convergence area. The most representative areas of shared economy are space sharing and vehicle sharing. This paper aims to explore the factors affecting sharing intention of vehicle. We have identified the independent variables which include economic benefit, social benefit, social influence, psychological benefit and perceived risk. We also have done how these variables affect on sharing intention. Unlike Korea, in China vehicle sharing is legally allowed and has a large scale economy. To prove the hypothesis, we performed questionnaire investigation in China and analyzed with SPSS program. The result of hypothesis is the followings: The economic benefit, psychological benefit, social influence and perceived risk are affects sharing intention, and social benefit is not affect sharing intention and sharing intention is affect sharing behavior.

• Journal of Korea Multimedia Society
• /
• v.23 no.3
• /
• pp.499-507
• /
• 2020

This paper is one of the types of 'sharing economy', a social economic model that borrows and shares things, spaces, and services from the development of the 4th Industrial Revolution. Through sharing of empty space and time in the city, I would like to suggest a way to reduce the closure of small business owners in order to create jobs, which is one of urban problems in the community. We also build a platform that utilizes the free time and space of buildings through space sharing, one of the types of sharing economy, and provides education programs for start-up education, promotion, marketing, and consulting by matching small business owners with building owners. Therefore, in this paper, by sharing the space and time, the landlord and the small business can share the profits of the small business by reducing the business owner's closure and the job creation plan. Coaching urban regeneration was proposed.

• Journal of Digital Convergence
• /
• v.18 no.1
• /
• pp.103-109
• /
• 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 Service Research and Studies
• /
• v.9 no.3
• /
• pp.17-38
• /
• 2019

With recent dispersion of sharing economy, consumption culture of sharing, instead of ownership, gets wide spread in the age groups of 20-30. Even though the market of car sharing expands rapidly, little research has been done in the area of service quality and consumer behavior regarding car sharing services. Given that future market potential gets larger, it seems highly meaningful to conduct research on customer satisfaction and their usage behavior regarding car sharing services. This paper intends to analyze main factors affecting overall customer satisfaction on car sharing services; satisfaction on service quality, satisfaction on service product, and satisfaction on service experience. Each dimension of the three factors is also analyzed to see if there is any differences between major three brands. Further analysis has been done for checking any effects of gender and usage purpose of customers on the overall customer satisfaction. Key results of the analysis show all the three main factors have significant effect on overall customer satisfaction. Each dimension of service quality has significant effect on satisfaction on service quality. Dimensions of parking lot accessability and vehicle maintenance in service product evaluation, have greater effect on satisfaction on service product. In service experience, positive affect have greater effect than negative affect on satisfaction on service experience. Women users perceive larger overall customer satisfaction on car sharing services than men users. On the types of usage purpose, Users with purpose of tour and dating/meeing friends perceive larger overall customer satisfaction on car sharing services than user without it. Further managerial implications of car sharing services are also provided.

• Journal of Distribution Science
• /
• v.15 no.12
• /
• pp.73-84
• /
• 2017

Purpose - Over recent years, O2O and shared economy have been an eye-catching topic. Many researches on O2O and shared economy have been published gradually. The emerging enterprise of chauffeured car services developed rapidly in the past two years. Therefore, it is necessary to explore the influencing factors of use intention of the chauffeured car services users. Through active use of O2O and shared economy, put up with operation strategy in line with their use intention. Research design, data, and methodology - After collecting 324 respondents in China with questionnaires, this study begin the empirical research with users of Chauffeured Car Services, and analyzes data with IBM SPSS 24.0 and IBM AMOS 24.0. Results - Personal Propensity to Trust significantly affects the Initial Trust of chauffeured car services users. Firm Reputation significantly affects the Initial Trust and use intention of chauffeured car services users. Initial Trust significantly affects the use intention of chauffeured car services users. Performance Expectancy and Effort Expectancy significantly affect chauffeured car services users' use intention. Social Influence also significantly affects the use intention of chauffeured car services users. Conclusions - First, Initial Trust significantly affects the use intention of chauffeured car services users. Thus, the enterprise should make efforts to improve users' initial trust in order to attract their attention. For this reason, chauffeured car services enterprises should conduct questionnaires to deeply explore what needs can improve users' initial trust. Second, performance expectancy and effort expectancy significantly affect chauffeured car services users' use intention. When users enjoy chauffeured car services, they attach great importance to the convenience, simplicity and efficiency, which reflects that chauffeured car services' desire for greater development in the O2O and shared economy market. Therefore, they need to grasp users' needs (convenience, simplicity and efficiency) and carefully improve the quality of chauffeured car services. Finally, social influence also significantly affects the use intention of chauffeured car services users. It means friend recommendation or mass media influences users' intention. So, it is more important to increase differentiated benefits, advertising and publicity of chauffeured car services.

• The Journal of Information Systems
• /
• v.29 no.1
• /
• pp.1-22
• /
• 2020

Purpose Along with increasing use of mobile devices, the sharing economy platform services, which generate profits by sharing products owned or labor, have been activated. A representative example of the sharing economy platform service is Airbnb, which connects providers having idle residential space with users. The results revealed that the cases of superhosts and professional companies had a positive and negative effect on user satisfaction, respectively. Based on signaling theory, this study drew the following implications: residential space providers should make an effort to meet the superhost conditions suggested by Airbnb, and offering residential spaces by individual suppliers rather than professional accommodation companies can more heighten user satisfaction. Design/methodology/approach Because sharing behavior is promoted through trust between interested parties, this study aimed to verify the effects of provider characteristics on user satisfaction in a sharing economy platform service. Specifically, it analyzed user satisfaction, according to host attributes (i.e., "superhost or not," gender, and "professional company or not") among the characteristics of Airbnb suppliers. Findings The results revealed that the cases of superhosts and professional companies had a positive and negative effect on user satisfaction, respectively. Based on these analyses results, this study drew the following implications: residential space providers should make an effort to meet the superhost conditions suggested by Airbnb, and offering residential spaces by individual suppliers rather than professional accommodation companies can more heighten user satisfaction.

• Journal of Information Processing Systems
• /
• v.18 no.1
• /
• pp.75-88
• /
• 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 Asian Finance, Economics and Business
• /
• v.8 no.8
• /
• pp.167-180
• /
• 2021

The "sharing economy" describes a type of business built on the sharing of resources - allowing customers to access goods when needed. While sharing goods has always been a common practice among friends, family, and neighbors, in recent years, the concept of sharing has moved from a community practice into a profitable business model. This study explores gaps between customers' actual usages and current policies on accommodation sharing by analyzing what needs to be done for the better establishment of sharing economy in society. The purpose of this study is to investigate perceptions of accommodation sharing by analyzing reviews and negative aspects that help resolve complaints and improve better services through policy establishment. This study investigates key attributes that influence business performance to improve citizens' decision-making for the usage of accommodation sharing. This study applies qualitative research by collecting demand- and supply-side reviews from selected registered accommodations using a random sampling procedure. This study finds that guests prefer entire house sharing with instrumental attributes related to properties. Entire house sharing of multiple dwellings shows business impacts in terms of high occupancy rate on the platform, while there are policy concerns with entire house sharing. The results provide policy and managerial implications by suggesting proper policies and considering relationships with citizens.