• 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.

• 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 Information Technology Applications and Management
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• v.30 no.2
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• pp.19-30
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• 2023

This study aims to analyze service improvement and success factors of electric scooter sharing service companies by using text mining after collecting reviews of shared electric scooter service applications among various models of sharing economy. In this study, the factors of satisfaction and dissatisfaction of service users were identified using the term frequency inverse document frequency (TF-IDF) technique, and topics for each keyword were extracted using the Latent Dirichlet Allocation (LDA) Topic Modeling technique. According to the analysis results, the main topics were entertainment, safety, service area, application complaints, use complaints, convenience, and mobility. Using the analysis results of this study, employees and researchers of electric scooter sharing service companies will be able to contribute to the improvement and success of related services.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.181-186
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• 2018

Car-sharing services are one of the successful model of sharing economies. The car-sharing service is a kind of car rental service that can pay the cost per minutes, also can makes it easy to book and return by smart phone at any time. Experts predict that the car-sharing services will likely dominate the auto market in the future by reducing the burden on consumers' purchasing cost of car and resolving the environmental issues caused by the vehicle. Therefore, a differentiated service strategy is needed to establish a competitive caching service among these companies. In this study, we surveyed differentiation cases by comparing and analyzing domestic caching companies, And customized service tailored to the situation and effective vehicle type infotainment. As a result of this study, the proposed service method change, customized service provision, and new platform application are expected to be detailed and in depth.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.1-27
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• 2021

The entire tourism industry is being hit hard by the COVID-19 as a global pandemic. Accommodation sharing services such as Airbnb, which have recently expanded due to the spread of the sharing economy, are particularly affected by the pandemic because transactions are made based on trust and communication between consumer and supplier. As the pandemic situation changes individuals' perceptions and behavior of travel, strategies for the recovery of the tourism industry have been discussed. However, since most studies present macro strategies in terms of traditional lodging providers and the government, there is a significant lack of discussion on differentiated pandemic response strategies considering the peculiarity of the sharing economy centered on peer-to-peer transactions. This study discusses the marketing strategy for individual hosts of Airbnb during COVID-19. We empirically analyze the effect of changes in listing descriptions posted by the Airbnb hosts on listing performance after COVID-19 was outbroken. We extract nine aspects described in the listing descriptions using the Attention-Based Aspect Extraction model, which is a deep learning-based aspect extraction method. We model the effect of aspect changes on listing performance after the COVID-19 by observing the frequency of each aspect appeared in the text. In addition, we compare those effects across the types of Airbnb listing. Through this, this study presents an idea for a pandemic crisis response strategy that individual service providers of accommodation sharing services can take depending on the listing type.

• 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.

• Land and Housing Review
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• v.3 no.3
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• pp.213-223
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• 2012

As the public sector has been facing many challenges arising from the global economy and experiencing major changes, public services are redefined and various modes to improve their quality are applied to the customer service area. This research addresses whether and to what degree the professional competence of public institutions affect the customer service, in particular the quality and delivery of housing welfare services. With the institutional competences consisting of three elements - customer centric culture of service delivery, information sharing, and service delivery channels, this study utilizes a questionnaire survey, and the collected data are analyzed by using the inferential statistics. The findings show that customer centric culture of service delivery and information sharing have positive impacts on the quality of housing welfare services while service delivery channels don't have any influence on it. The research results imply that the institutional competence in the public sector is critical in the quality and delivery of the housing welfare services.

• Journal of Internet Computing and Services
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• v.19 no.4
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• pp.107-121
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• 2018

The purpose of this study is to explore the present US consumer behavioral trends and various cognitive schema types for sharing economy frame and shared service. For this, by applying Q methodology, this paper theoretically defines three differentiated typologies of US consumer in a interpretive perspective. This study is in-depth focused on discovering and categorizing characteristics of a respondent's thinking structure called 'schemata'. According to the entire procedures of Q methodology, this paper analyzed Q-sorted data from twenty-four people in the basis of forty Q-samples (statements). Consequently, we discovered four consumer groups named as Type 1 'Socialsumer', Type 2 'Smarsumer', Type 3 'Researsumer'.

• 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.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.141-154
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• 2018

As the sharing economic market grows, the subject of sharing is expanding to intangible resources such as time, experience, and expertise. The phenomenon that an individual temporarily participates in the platform by utilizing own intangible resources is defined as a 'gig economy'. The gig economy has a positive expectation that can create new jobs, but also has negative warnings that it is only a temporary job based on low wages. The gig economy market is growing rapidly in Korea, however there are very few academic discussions. This study examines the experiences of resource providers in the Korean gig economic platform, and then explores future job changes based on the perception of resource providers. This study selected the subject of research as a talent sharing platform and conducted in-depth interviews with 16 resource providers. The results of the research were presented through content analysis, and their experiences and perceptions were classified into six themes. This study implies academic and practical significance in exploring in depth the overall experience of resource suppliers and in suggesting proposals for desirable successful market growth.