• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.239-247
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• 2014

In modern society, the transportation sector is having difficulties with mobility, safety, energy and environment issues so that solutions should be prepared progressively. Recently developed countries are paying greater attention to car-sharing systems as alternatives for relieving problems caused by increasing number of vehicles. Car-sharing systems are believed to keep the number of personal vehicles down and traffic congestion due to the fact that this system induces efficiency of vehicle operation. In this study, authors focused on solving the imbalance problem of car-sharing systems dynamically, to specifically improve one-way car sharing service. Therefore vehicle relocation algorithm was designed for maximizing profit of car sharing operators. For the application of the vehicle relocation algorithm among rental offices, we selected Haeundae-gu, Busan as the area of study. Rental offices have been designated to the zone centroid and we calculated the shortest path between rental offices by using TransCAD. In the study, we adapted MATLAB for the application of vehicle relocation algorithm. As the results, the total vehicle relocation time was estimated as 59.9 minutes. In addition, vehicle relocation algorithm was verified successfully by using Decision Tree method.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.129-135
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• 2020

This study examined the consumer response of the current O2O service between service types. Previous studies mainly focused on the quality factor of O2O service or Technology Acceptance Model or extended TAM, This study is different from the fact that there are differences in factors that consumers consider important and consumer reactions by service type. It is also significant that we compared between representative food delivery services and car sharing services that are actively used among O2O services. As O2O service is closely related to consumer's life, this study chose three factors that the issue of personal information security and trust of intermediary platform companies, and finally subjective norm based on individuals and groups who are aware of new O2O service. To test hypotheses, data were collected and analyzed for 301 samples, focusing on delivery and car sharing service, As a result, the delivery service among the O2O services was more positive to attitude toward service in the consumer group with lower personal information security, trust in platform, and subjective norm than car sharing service. Based on these results, implications and future research directions were presented.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.1
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• pp.93-105
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• 2024

Car-sharing is a representative model of the sharing economy, and it is a service that rents or uses a car for the necessary time without owning a car. This industry is growing due to various factors such as technological advances, increasing awareness of environmental protection, and increasing demand for solving traffic congestion problems in cities. Accordingly, there is a need for a strategic approach for companies providing car-sharing services to respond quickly to market changes in order to expand market share and differentiate services. Accordingly, this study conducted a case study on open innovation activities between Gongcar and existing rental car companies, focusing on the research question "What effects do open innovation activities between car-sharing companies and existing rental car companies cause?" As a result of the study, it was confirmed that Gongcar have (1) the ability to actively respond to market fluctuations by establishing a flexible vehicle supply chain based on demand, (2) have significantly reduced growth capital expenditure (Growth Capex), and both cafe and rental car companies have (3) performed successful open innovation by improving key KPI indicators and recording financial performance. This study reveals how open innovation acts as a key business growth engine in the car-sharing industry, and its significance is found in that it empirically confirmed the successful implementation conditions of open innovation based on resource dependence theory.

• 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.

• Knowledge Management Research
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• v.23 no.1
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• pp.111-131
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• 2022

Mobility service is a service that connects consumers and suppliers of transportation using information and communication technology (ICT), and aims to reduce inconvenience to users in the current transportation system and increase environmental sustainability. Recently, the use of mobility services is gradually increasing, and interest in it from academia and industry is growing. This study derives key influencing factors related to the increase in intention to use vehicle mobility services, and comparatively analyzes the influences between groups by service type (car-hailing vs. car-sharing services) and by generation (generation MZ vs. generation X). As a result of the comparative study, there were differences in user benefits between service type groups, and differences in user benefits and attitudes toward mobility platforms between generation groups. Through this comparative study, the main factors affecting the increase in the intention to use the vehicle mobility service by generation and service type and their differences were identified. This study provides implications to consider in terms of knowledge management for activating vehicle mobility services according to the major target users and service types.

• 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 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 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.

• 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.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.1969-1980
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• 2013

The Traffic congestion is caused by the increasing traffic demand. Thus, economic losses have been increasing every year. To solve these problems, car sharing and rental car systems that are equipped with IT technologies emerge. Car sharing has many advantages-the alleviation of the traffic congestion, the saving of maintenance cost for cars, the reduction of car possessiveness, the solution for the hassle of car ownership, for business and personal duty, and the improvement of connectivity between public transportations-. The goal of the car sharing is to achieve low-carbon and eco-friendly transportation. In this study, we review papers related to the car sharing system and the cost system of traffic systems. We estimate the optimal cost of the cloud traffic system that is one of the car sharing services. We suggest a methodology to estimate operational cost and use cost through the analysis of cost system between similar traffic means. The range of the maximum and minimum cost was determined through the comparison and analysis of similar traffic means. Expected demand and the cost that people are willing to pay were estimated through optimized value pricing. The minimum cost per hour that was compared to the cost of rental car was estimated at 5,333 won and the maximum cost per hour that was compared to taxi cost was estimated at 17,700 won. The cost for users was estimated at 6,930 won. The cost of 50% demands was estimated at 6,550won. Future studies should analyze service hours of users, weather, demand pattern and trend and consider them into the cost estimation.