• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.19-33
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• 2018

Collaborative consumption was suggested as a new paradigm of consumption and business model that focuses on sharing and using resources to reduce the risks of resource depletion and environmental impact. Individual consumers carry out a role not only as users but also as providers for collaborative consumption. In the present study, the authors investigated consumers' intention to participate in collaborative consumption both as providers and users. The effects of perceived benefit of collaborative consumption, subjective norms and ease of participation on the intention to participate in collaborative consumption were analyzed. The perceptions on benefits and subjective norms were relatively high, while the perception on ease of participation was relatively low. The effects of subjective norms and ease of participation on the intention to participate in collaborative consumption were significant. The result shows that support from one's reference group and the perception on ease of participation have significant positive effects on the intent to participate in collaborative consumption. Therefore, communication strategies for developing a positive consumer attitude and a social consensus about the necessity of collaborative consumption are needed.

• Fashion & Textile Research Journal
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• v.22 no.6
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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.

• The Journal of Information Systems
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• v.27 no.2
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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.

• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.421-428
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• 2008

Collaborative filtering is a popular technique used for the recommendation system, but its performance, especially the accuracy of recommendation, depends on how to define the reference group. This paper proposes a new contents recommendation scheme based on collaborative filtering technique whose reference groups are created by consumer's affection and consumption type in order to improve the accuracy of recommendation. In this paper, joy, sadness, anger, happiness, and relax are considered as the consumer's affection. And, low-utility / low-pleasure, low-utility / high-pleasure, high-utility / low-pleasure, and high-utility / high-pleasure are considered as the consumer's shopping types. Experimental results show that the proposed scheme improves the accuracy of recommendation compared to the recommendation scheme considering neither consumer's affection nor consumption type.

• Journal of Korean Home Economics Education Association
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• v.30 no.2
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• pp.103-116
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• 2018

The purpose of the present study is to categorize collaborative consumption intention in high school students based on providing and using collaborative consumption behaviors, to compare and analyze the factors that predict these. Data gathered from 418 high school students through an online survey were used to conduct a descriptive statistics analysis, cluster analysis, and multinomial logistic regression. Firstly, collaborative consumer intentions were classified into four groups, including a proactive group with high providing behaviors and using behaviors, an active providing group, an active using group, and a passive group with low providing and using behaviors. Secondly, mass media, social benefits, enjoyment, community effect, and reputation were revealed as factors that increased the potential for inclusion in the active groups, and home education, mass media, enjoyment, and reputation were factors that increased the potential for inclusion in the active providing group. Enjoyment was revealed as the factor that increased the potential for inclusion in the active using group. The results of the present study show that the active utilization of consumer education and a systematic approach are required to revitalize collaborative consumption and proper settlement. Furthermore, a systematic establishment of school consumer education is needed for the balanced development of collaborative consumption. Also, an environmental system in which actual expected benefits can be experienced and realized in a diverse manner should be created to encourage consumers collaborate more actively.

• Human Ecology Research
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• v.55 no.4
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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.

• Journal of the Korean Institute of Plant Engineering
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• v.23 no.4
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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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• v.39 no.1
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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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• v.12 no.3
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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.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.4
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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.