• Journal of Service Research and Studies
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• v.13 no.3
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• pp.20-38
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• 2023

Recently, car sharing has shown the most remarkable growth among sharing economy services. In the process of analyzing the intention to reuse the car sharing service, this study tried to reflect the unique characteristics of the service, which consists of non-face-to-face self-service, such as reservation, approval, handover, inspection, and return of the vehicle. Specifically, in addition to the perceived benefits and the perceived risks, we considered 'information quality' as a platform characteristic and 'self-efficacy' as a personal characteristic. To collect data, an online survey was conducted on adults with experience in car sharing, and a total of 320 responses were used for analysis. As a result of analyzing the structural equation model, it was found that information quality and self-efficacy increased the perceived benefits of services, and the higher the information quality, the higher the self-efficacy. On the other hand, the role of information quality and self-efficacy in lowering perceived risks was insignificant, and the intention to reuse services was more affected by perceived benefits than perceived risks. As a result of further analysis using Process Macro, it was found that the effect of self-efficacy on reuse intention was mediated by perceived benefits. It was analyzed that the indirect effects of information quality on reuse intention through perceived benefits or self-efficacy were all significant. These results suggest that providing timely, sufficient, and easy-to-understand information required by users on the platform improves self-efficacy and increases service reuse intention. In order to increase the number of service users, it is important for service providers not only to provide promotional activities such as offering attractive prices, but also to provide high-quality information so that users can use it more easily.

• Journal of Distribution Science
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• v.18 no.6
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• pp.63-75
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• 2020

Purpose: This study examines the motivations that prompt customers to use commercial sharing services (CSSs), and the relationship between anti-consumption and the perceived utility of CSSs in the fashion-sharing business. This study tries to understand how the two types of anti-consumption can differentially affect consumers' perceived utility to use CSSs. In particular, as the types of CSS have diversified and many consumers have used them, it can be expected that the influence of anti-consumption on the perceived utility of CSSs can change, depending on the field where the CSS is applied. Research design, data and methodology: The structural equation modeling (SEM) with the SPSS 22.0 and AMOS 18.0 programs was used. Results: This study found that (i) two types of anti-consumption (voluntary and selective) differentially affect the perceived utilities to use CSSs; (ii) the two types of anti-consumption differentially affect the perceived utility to use CSSs depending on the level of the brand. Conclusions: In order to promote the spread of consumers' use in the sharing economy, it will be possible to identify what important utility is and make a meaningful contribution to the establishment of future marketing strategies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.469-478
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• 2019

Car-sharing services have been settled on as a new type of public transportation owing to their enhanced convenience, expanded awareness of practical consumption patterns, the inspiration for environmental conscientiousness, and the diffusion of smart phones following the economic crisis. With development of the market, many people have started using such services. However, security is still an issue. Damage is expected since IDs and passwords are required for log-in when renting and controlling the vehicles. The protocol suggested in this study uses bio-information, providing an optimized service, and convenient (but strong) authentication with various service-provider clouds registering car big data about users through brokers. If using the techniques suggested here, it is feasible to reduce the exposure of the bio-information, and to receive service from multiple service-provider clouds through one particular broker. In addition, the proposed protocol reduces public key operations and session key storage by 20% on mobile devices, compared to existing car-sharing platforms, and because it provides convenient, but strong, authentication (and therefore constitutes a secure channel), it is possible to proceed with secure communications. It is anticipated that the techniques suggested in this study will enhance secure communications and user convenience in the future car-sharing-service cloud environment.

• 지역과문화
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• v.6 no.1
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• pp.1-27
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• 2019

The study explores the way how sharing economy services of accommodation and car rental, one of social issues actively discussed today are settled in the process of sharing economy building in local destinations. The result shows that average consumers expressed their favorable attitude toward the sharing economy services. However, the consumer's attitude didn't directly affect the consumer's positive perception that there is need for local sharing economy service network and the educational system for local residents and the network helps the economy. Instead consumer's knowledge of sharing economy services and their eagerness to learn the knowledge as parameters related the consumer's attitude to their perceptions; the consumer's attitude affected indirectly their perceptions. The study shows that local communities and their residents' efforts are not enough simply to activate the sharing economy services in the development process of tourist resources, while it asks consumers to learn information and knowledge of the sharing economy. Therefore, consumers and residents should interact and communicate closely with each other to help the development of local destinations and tourist resources based on sharing economy.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.163-173
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• 2015

In this paper, it shows optimal inventory level of bicycle sharing service terminal by maintaining the lowest costs. As the interest to environment and exhaustion of resource increases globally, investment to sustainable transportation increases around advanced countries and interest to efficient transportation, managing and consuming of vehicle increases also. Vehicle sharing service is a model of rental car where customer rent cars for short periods of time often by the hour and its users are increasing for the reason that it is more convenient than car rent. In addition, bicycle sharing service is one of the major parts in vehicle sharing program and many of country are already managing it. This paper proposes optimal inventory levels of vehicle sharing service's terminal by using simulation calculating operation costs of vehicle sharing service.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.4
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• pp.10-17
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• 2015

Currently, there are increasing demand for researches on the development of car-sharing operating strategy. In order to carry out the research, demand for car-sharing is required. However, since previous researches only adopted performance data or demand derived from several assumptions, spilled demand has been spotted due to lack of available cars. For this reason, we plan to suggest the way to estimate the value including spilled demand which has been spotted previously based on the record of utilization on the website of operating company, actual company providing car-sharing service. In the case of 'LH Happycar Service', difference between estimated demand and record of utilization is about twice the difference between estimated demand and record of inquiry. Especially, it is found that service rate does not go above once it reaches to its maximum rate because it cannot satisfy additional demands. In short, when we evaluate the demand for individual station based on the record of utilization only, it would be possible to underestimate the demand especially for the station at full capacity.

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

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.93-108
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• 2016

Electric vehicle car sharing (EV-sharing) system is noted as an eco-friendly system of transportation in global warming crisis and has been practically implemented in some cities around the world. However, methodologies to find the efficient operation conditions of EV-sharing systems reflecting a typical characteristic 'charging' have not been fully investigated yet. In the paper a generalized model has been developed to identify optimal level of infrastructure for EV-sharing system which provides the optimum operation efficiency under service level constraints. From the simulation analysis based on the developed model the relationships between the operational variables to describe EV-sharing system have been identified and optimal capacity to maximize the operational efficiency have been found. From the analysis of simulation results it has been found that increases in the number of vehicles and chargers improve the service level until certain value beyond which increasing rate and the efficiency have been reduced. From the cost-revenue analysis the optimal numbers of vehicles and chargers have been identified which maximizes the annual operational profit.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.99-108
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• 2019

This study examined the relationships among perceived values(environmental value, functional value), perceived risk, subjective norm, pro-social behavior, product attitude, and usage intention related to car-sharing service. The study also explored the moderating role of possessive desire between the antecedent variables and consumer attitude. 238 survey responses of Chinese consumers were analyzed by structural equation modeling. It is indicated that environmental value, functional value, subjective norm, pro-social behavior had positive effects on attitude, thereby affecting the usage intention of this service. Possessive desire moderated the relationship between environmental value, subjective norm and attitude. These results are expected to provide various marketing strategies for sharing economy services.

• Transportation Technology and Policy
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• v.11 no.2
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• pp.72-79
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• 2014