• 한국콘텐츠학회논문지
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• 제18권3호
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• pp.19-33
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• 2018

협력적 소비는 소비에 공유 패러다임을 적용하여 자원고갈과 환경오염 문제를 완화할 수 있는 대안적 소비방식이자 공유경제 시스템 내에서 새로운 가치를 창출하는 비즈니스모델로서 의미가 있다. 협력적 소비에 참여하는 개인은 자신의 것을 공유하는 제공자가 되기도 하며 공유된 것을 사용하는 사용자가 되기도 한다. 본 연구에서는 제공자 및 사용자로서 협력적 소비에 참여하고자 하는 의도에 지각된 혜택, 주관적 규범, 참여용이성인식이 미치는 영향을 분석하였다. 전반적으로 지각된 혜택과 주관적 규범은 높게 나타난 반면, 협력적 소비 참여용이성인식은 상대적으로 낮게 나타났다. 제공자 및 사용자로서 협력적 소비에 참여할 의도는 주관적 규범과 참여용이성인식에 정적 영향을 받는 것으로 나타났다. 이는 소비자가 협력적 소비에 참여하는 데 주변 사람들의 지지와 자신의 능력에 대한 인식이 중요한 요인으로 작용함을 의미한다. 따라서 협력적 소비를 활성화하기 위해서는 협력적 소비에 대한 소비자의 긍정적 태도를 형성하고 협력적 소비의 필요성에 대한 사회적 공감대를 형성할 수 있는 커뮤니케이션 전략이 필요하다.

• 한국의류산업학회지
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• 제22권6호
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• pp.777-788
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• 2020

Growth in the sharing economy and sustainability have grown has influenced collaborative consumption that values usage rather than ownership. Collaborative fashion consumption platforms have become a rapidly growing business and need to be investigated. A theoretical review and case study were conducted to analyze the typology of collaborative fashion consumption consisting of renters, lenders, and platforms. Applying the nascent literature of partial organization, this paper outlines a typology, user-driven types in which lenders take responsibility to manage rental products and platform-driven types in which platforms are in charge. Four representative cases such as Hurr Collective, Villageluxe, Wardrobe, and Closetshare were selected in order to derive the roles of collaborative fashion consumption platforms. First, it is critical to balance between renters and lenders in collaborative fashion consumption platforms. Second, it is imperative to establish trust about the platform and formulate mutually understandable guidelines. Third, the concept of lenders needs to be broadened to individuals as well as fashion brand companies. Fourth, it is necessary to improve interaction between renters and lenders in platform-driven types. This study represents one careful step to understand collaborative consumption platforms that also provides managerial and academic implications.

• 한국정보시스템학회지:정보시스템연구
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• 제27권2호
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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.

• 정보처리학회논문지D
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• 제15D권3호
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• pp.421-428
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• 2008

협업여과 기법은 추천 시스템에서 널리 사용되는 기술이지만, 소비자의 참조그룹을 선정하는 방법에 따라 추천의 정확도가 달라지는 특성을 가지고 있다. 이에 본 논문에서는 콘텐츠 추천의 정확도를 높이기 위하여 소비자의 감성과 소비유형을 참조그룹으로 하여 협업여과기반으로 콘텐츠를 추천하는 기법을 제안한다. 소비자의 감성을 기쁨, 슬픔, 혐오, 행복, 이완 다섯 가지로 구분하고, 소비유형을 저실용/저쾌락, 저실용/고쾌락, 고실용/저쾌락, 고실용/고쾌락 네 가지로 구분하여 콘텐츠 추천 기법의 성능을 분석한 결과, 본 논문에서 제안하는 기법으로 콘텐츠를 추천한 경우가 소비자 감성과 소비유형을 고려하지 않은 전체 참조그룹으로 추천한 경우보다 정확도가 향상됨을 확인하였다.

• 한국가정과교육학회지
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• 제30권2호
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• pp.103-116
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• 2018

본 연구의 목적은 고등학생의 협력적 소비 의향을 제공행동과 이용행동을 기준으로 유형 분류한 후 각 군집 유형별로 소비자교육 경험과 기대 혜택의 예측 요인을 비교 분석하는 것이다. 온라인 설문조사를 통해 취합된 고등학생 418명의 자료를 사용하여 기술통계, 군집분석, 다항 로지스틱 회귀분석을 실시하였다. 주요 연구결과는 다음과 같다. 첫째, 협력적 소비 의향은 4가지 군집유형으로 분류되었다. 제공행동과 이용행동이 모두 높은 적극적 집단, 제공적극집단, 이용적극집단 그리고 제공과 이용행동이 모두 낮은 소극적 집단으로 유형화되었다. 둘째, 적극적 집단에 속할 가능성을 높여주는 요인은 대중매체, 사회적 편익, 즐거움, 커뮤니티효과, 평판으로 나타났으며, 제공적극집단에 속할 가능성을 높여주는 요인은 가정소비자교육과 대중매체, 즐거움과 평판으로 나타났다. 이용적극집단에 속할 가능성을 높여주는 요인으로는 즐거움으로 나타났다. 본 연구의 결과를 통해, 협력적 소비의 활성화와 올바른 정착을 위해 소비자교육의 체계적인 접근이 요구되어진다. 아울러 협력적 소비의 균형적인 발전을 위해서는 학교소비자교육에 대한 체계적 확립이 필요하며, 실질적인 혜택을 다양하게 경험할 수 있는 환경적 시스템이 마련되어야 할 것이다.

• Human Ecology Research
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• 제55권4호
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• pp.351-362
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• 2017

Collaborative consumption (CC) occurs in organized systems or networks in which participants conduct sharing activities in the form of renting, lending, trading, bartering, and swapping of goods, services, transportation solutions, space, or money. Information and communications technologies (ICTs) that have emerged with CC. CC is expected to alleviate social problems such as hyper-consumption, pollution, and poverty by lowering the cost of economic coordination. In this study, we investigate the influence of educational experience and expected benefits of CC participation (intended to using and providing CC) of Adolescent Consumers. The subjects for the study were 418 high school students. Data was analyzed through frequency analysis, mean, standard deviation, t-test, ANOVA, Pearson's correlation, and hierarchical multiple regression analysis using SPSS Win 21.0. The results of this study are as follows. First, the significant positive relationship found between CC participants (intent to use and provide CC), educational experience (home education, school education, and mass media) and expected benefits (social benefit, economic benefit, enjoyment, community effect, and reputation). Second, enjoyment, mass media, reputation, social benefit, home education and school education values were variables that influenced the using participation intention for CC. Third, the major variables influencing the providing participation intention CC were home education, enjoyment, gender, community effect, and mass media values.

• 대한설비관리학회지
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• 제23권4호
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• pp.57-64
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• 2018

User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

• ETRI Journal
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• 제39권1호
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• pp.30-40
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• 2017

In this study, we investigate topology control as a means of obtaining the best possible compromise between the conflicting requirements of reducing energy consumption and improving network connectivity. A topology design algorithm capable of producing network topologies that minimize energy consumption under a minimum-connectivity constraint is presented. To this end, we define a new topology metric, called connectivity efficiency, which is a function of both algebraic connectivity and the transmit power level. Based on this metric, links that require a high transmit power but only contribute to a small fraction of the network connectivity are chosen to be removed. A connectivity-efficiency-based topology control (CETC) algorithm then assigns a transmit power level to each node. The network topology derived by the proposed CETC heuristic algorithm is shown to attain a better tradeoff between energy consumption and network connectivity than existing algorithms. Simulation results demonstrate the efficiency of the CECT algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권3호
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• pp.1330-1347
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• 2018

Mobile Ad hoc Network (MANET) is a collection of nodes or communication devices that wish to communicate without any fixed infrastructure and predetermined organization of available links. The effort has been made by proposing a scheme to overcome the critical security issue in MANET. The insufficiency of security considerations in the design of Ad hoc On-Demand Distance Vector protocol makes it vulnerable to the threats of collaborative black hole attacks, where hacker nodes attack the data packets and drop them instead of forwarding. To secure mobile ad hoc networks from collaborative black hole attacks, we implement our scheme and considered sensor's energy as a key feature with a better packet delivery ratio, less delay time and high throughput. The proposed scheme has offered an improved solution to diminish collaborative black hole attacks with high performance and benchmark results as compared to the existing schemes EDRIAODV and DRIAODV respectively. This paper has shown that throughput and packet delivery ratio increase while the end to end delay decreases as compared to existing schemes. It also reduces the overall energy consumption and network traffic by maintaining accuracy and high detection rate which is more safe and reliable for future work.

• 한국의상디자인학회지
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• 제15권4호
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• pp.83-99
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• 2013

This research is a follow-up study about analysis on the many different customer groups and their various culture trend, which intends to realize diverse values depending on the sense. The purpose of this study was to develop direction forecast for the future fashion industry through consideration about the characteristics of contemporary fashion industry by the change of different customer's culture trend. And also try to find solution to survival strategy of fashion fields able to evolve with customer. Change of the customer's cultural trend draws a shift in policy in the 21st fashion industry as follows : 1) mash-up 2) complexation through decentering and blurring 3) invisible and immaterial value oriented 4) expansion of minor small market. Moreover, this shows sociocultural meaning as follows. First is spread of flexible and horizontal relationship through collaborative consumption and collaboration. Second is concentration on floating and indeterminate chance through dismantling of various different fashion categories. Third is formation of the permanent difference by selection and focus. Last is expansion of understanding about cultural-ecology. Customer cultural trend is 'meme' of cultural gene in fashion field, so it intends to co-evolute with customer by continuous change.