• Journal of Fashion Business
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• v.24 no.2
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• pp.68-84
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• 2020

The purpose of this thesis is to suggest a Practical Plan for ethical consumption by reviewing the category of Vegan Fashion and investigating its Social Value of vegan fashion. This will be achieved through investigating the papers and official home pages of 13 selected Vegan Fashion brands. It was found that in terms of use of materials such as leather, fur and organic fibers the brands can be divided into three sections: fur-free, cruelty-free and perfect vegan. A Practical Plan is suggested based on the aspects of production, consumption, distribution and education. Firstly, the provider should be required to understand vegan materials deeply, it is also desirable for them to get vegan certifications. Secondly, the seller should also understand about vegan materials, and be able to explain this to consumers. The education from the seller is vital and the meaning of logos and associated contents used by the label should be clearly explained to consumers. Thirdly, the association of consumers, and fashion brands should cooperate to enhance the level of general understanding in society further, this should influence new laws, that address ethical issues regarding the use of fur in fashion. Environmental problem of the future might be reduced if the stakeholders in Vegan Fashion are cooperatively and actively trying to educate the general population and make Vegan Fashion popular and ethical consumption popular.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.19-23
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• 2017

Energy is a vital resource for the economic growth and the social development for any country. As the industry becomes more sophisticated and the economy more grows, the electricity demand is increasing. So forecasting electricity demand is an important for electricity suppliers. Forecasting electricity demand makes it possible to distribute electricity demand. As the market for Negawatt market began to grow in Korea from 2014, the prediction of electricity consumption demand becomes more important. Moreover, power consumption forecasting provides a way for demand management to be directly or indirectly participated by consumers in the electricity market. We use Genetic Algorithms to predict the energy demand of the fishing industry in Jeju Island by using GDP, per capita gross national income, value add, and domestic electricity consumption from 1999 to 2011. Genetic Algorithm is useful for finding optimal solutions in various fields. In this paper, genetic algorithm finds optimal parameters. The objective is to find the optimal value of the coefficients used to predict the electricity demand and to minimize the error rate between the predicted value and the actual power consumption values.

• Journal of Korean Society for Quality Management
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• v.37 no.4
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• pp.71-86
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• 2009

The healthcare environment today is changing rapidly with factors of healthcare consumers in selecting medical institutions also altering at a fast pace under the circumstances. In this study, the theory of consumption values established by Sheth in 1991 is adopted in order to examine particular value affecting consumer selection of healthcare institutions. For the purpose of this study, healthcare consumers were surveyed using questionnaires developed based on the five values of Sheth supplemented by value of effort to acquire hospital information and value in health. Consequently, 24 consumption values affecting selection process were confirmed through discriminant analysis. As a result of regression analysis on factors affecting consumer selection of healthcare institution, effort to acquire hospital information and age among demographic characteristics of respondents are determined important predictors for consumer selection of general hospitals over clinics or small-sized hospitals. Further, service, reputation scale of healthcare institution among functional values and importance of health and effort to acquire hospital information among value in health are identified as significant predictors for consumer selection of large-sized general hospitals over clinic or small-sized hospitals. This study suggests not only vital implications for marketing strategy of healthcare institutions, but also methods to promote positive image for healthcare providers. In addition, this study closely examines the cause of the leaning phenomenon of healthcare comsumers toward large-sized general hospitals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1849-1876
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• 2022

Wireless Sensor Network (WSN) is considered as an integral part of the Internet of Things (IoT) for collecting real-time data from the site having many applications in industry 4.0 and smart cities. The task of nodes is to sense the environment and send the relevant information over the internet. Though this task seems very straightforward but it is vulnerable to certain issues like energy consumption, delay, throughput, etc. To efficiently address these issues, this work develops a cross-layer model for the optimization between MAC and the Network layer of the OSI model for WSN. A high value of duty cycle for nodes is selected to control the delay and further enhances data transmission reliability. A node measurement prediction system based on the Kalman filter has been introduced, which uses the constraint based on covariance value to decide the scheduling scheme of the nodes. The concept of duty cycle for node scheduling is employed with a greedy data forwarding scheme. The proposed Duty Cycle-based Greedy Routing (DCGR) scheme aims to minimize the hop count, thereby mitigating the energy consumption rate. The proposed algorithm is tested using a real-world wastewater treatment dataset. The proposed method marks an 87.5% increase in the energy efficiency and reduction in the network latency by 61% when validated with other similar pre-existing schemes.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.261-267
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• 2003

This study deals with controversial issues surrounding the today′s cyber-taxation and recommends feasible consumption tax system architecture titled Global Electronic Tax Invoice System (GETI). The GETI is an electronic consumption tax architecture to provide "all-in-one" tax and e-payment services through a trusted third party (TTP). GETI is designed to streamline the overall cyber-taxation process and provide simplified and transparent tax invoice services through an authorized np. To ensure information security, GETI incorporates public Key infrastructure (PKI) based digital certificates and other data encryption schemes when calculating, reporting, paying, and auditing tax in the electronic commerce environment. GETI is based on the OECD cyber-taxation agreement that was reached in January 2001, which established the taxation model for B2B and B2C electronic commerce transactions. For the value added tax systems, tax invoice is indispensable to commerce activities, since they provide documentations to prove the validity of commercial transactions. As paper-based tax invoice systems are gradually phased out and are replaced with electronic tax invoice systems, there is an increasing need to develop a reliable, efficient, transparent, and secured cyber-taxation architecture. To design such architecture, several desirable system attributes were considered -- reliability, efficiency, transparency, and security. GETI was developed with these system attributes in mind.

• The Journal of Information Systems
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• v.25 no.3
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• pp.31-60
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• 2016

Purpose In 2016, the market size of mobile(m-) shopping goes beyeond more than half of a total of online shopping. People use smartphones as the main device for m-commerce. Under the circmustances, this study attempts to address why people prefer to use smartphone-based m-commerce. In other words, it is necessary to understand the main value that smartphone-based m-commerce creates. Drawing on the studies of consumption value, this study focuses on utilitarian value in predicting customers' continuance intention in the context of smartphone-based m-commerce, recognizing that utilitarian value is a key extrinsic motivation in the goal-oriented, performance-oriented shopping contexts. Furthermore, this study identifies factors affecting customers' utilitarian value from the perspective of benefits and costs, following the notion that it represents the result of evaluating a trade-off of benefits and costs caused by smartphone-based m commerce. More specifically, in this study, ubiquitous service, location-based service (LBS), transaction speed, and price utility belong to the benefit dimension, whereas technology anxiety and cognitive effort belong to the cost dimension. Design/methodology/approach To test the proposed hypotheses, the study conducted partial least squares (PLS) analysis with a total of 294 data collected on users with experience in smartphone-based m-commerce. Findings The results show that first, utilitarian value is increased by the benefits, such as ubiquitous service, transaction speed, and price utility. However, LBS has no direct effect on utilitarian value. Second, the noteworthy finding is that ubiquitous service and LBS greatly increase transaction speed. Third, technology anxiety and cognitive effort considered as the cost dimension are negatively associated with utilitarian value but their impacts on it are non-significant. Finally, the results support the argument that utilitarian value is a determinant of continuance intention. Overall, the findings imply that utilitarian value greatly depends on the peception on benefits rather than the aspect of cost in smartphone-based m-commerce. Overall, the findings offer new insight into the studies of m-commerce by considering and verifying the impacts of its benefits and costs simultaneously.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.4
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• pp.408-420
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• 2011

This study identifies the fashion luxury customer segments grouped by expenditures and the number of purchasing brands to verify the effects of perceived luxury consumption values on the intention to maintain a brand relationship for each group. A survey questionnaire was developed and implemented to collect data to measure fashion luxury expenditures, number of purchasing brands, luxury customer values, intention to maintain brand relationships, and demographic variables. A total of 326 responses were analyzed by factor analysis, multiple regression, one-way ANOVA, and $X^2$ analysis with SPSS18.0. Respondents were grouped by luxury expenditures; in addition, the number of purchasing brands were grouped into four segments of Switching/Heavy (31.6%), Switching/Light (19.9%), Loyal/Heavy (31.3%), and Loyal/Light (7.2%) Customer Group, that was different in terms of age and marital status. When the luxury customer value for the most patronized luxury brand was factor analyzed, five distinctive sub dimensions were identified, such as Social Value, Aesthetic/Expressive Value, Experiential Value, Quality Value, and Economic Value. For the Loyal/Heavy Group, the Experiential Value had a significant effect on the customer intention to maintain a brand relationship. For the Loyal/Light group, the Aesthetic /Expressive and Economic Value had a significant effect, and for the Switching/Heavy and Switching/Light Group, Quality and Economic Value had a significant effect on the customer intention to maintain a brand relationship. In conclusion, each luxury customer value in the behavioral segments works differently in influencing the intention to maintain a brand relationship. In addition, the implications for retail strategy were discussed based on the findings.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.710-726
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• 2018

This paper presents an extended particle filter to increase the accuracy and decrease the computation load of vehicle tracking. Particle filter has been the subject of extensive interest in video-based tracking which is capable of solving nonlinear and non-Gaussian problems. However, there still exist problems such as preventing unnecessary particle consumption, reducing the computational burden, and increasing the accuracy. We aim to increase the accuracy without an increase in computation load. In proposed method, we calculate the direction angle of the target vehicle. The angular difference between the direction of the target vehicle and each particle of the particle filter is observed. Particles are filtered and weighted, based on their angular difference. Particles with angular difference greater than a threshold is eliminated and the remaining are stored with greater weights in order to increase their probability for state estimation. Threshold value is very critical for performance. Thus, instead of having a constant threshold value, proposed algorithm updates it online. The first advantage of our algorithm is that it prevents the system from failures caused by insufficient amount of particles. Second advantage is to reduce the risk of using unnecessary number of particles in tracking which causes computation load. Proposed algorithm is compared against camshift, direction-based particle filter and condensation algorithms. Results show that the proposed algorithm outperforms the other methods in terms of accuracy, tracking duration and particle consumption.

• Journal of the Korean association of regional geographers
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• v.21 no.1
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• pp.137-152
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• 2015

The purpose of this research is to reveal the problems of the Western based development discourse, and to derive the future direction of postdevelopment as sustainable development. This study attempted to reveal the historical process of formation and change on development discourse. Development generally regarded as the overcome of underdevelopment, inducing the marginalization of the South as a place to follow the development model of the North. State based development discourse (Keynesian development discourse) focused on the growth by industrialization, and the supreme aim of the South was to overcome the underdevelopment. Neoliberalism development discourse emphasized on the market principle based on free competition which was recognized as the best way to provide development. However, neoliberalism discourse has been criticized for the concentration of power and inequality of class, causing on the consideration of postdevelopment because of its emphasis on growth rather than distribution and life value. This research revealed the ways of postdevelopment with fair trade and ethical consumption. However, fair trade and ethical consumption discourses clearly show somewhat limitation subsuming into neoliberal development discourse. In this respect, future ways for postdevelopment have to consider the overcoming of powers based on market and capital, and to orient into the value of redistribution in development process.

• Culinary science and hospitality research
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• v.24 no.1
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• pp.82-95
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• 2018

The purpose of this study is to investigate the relationship between experiential value, customer loyalty and eating out tendency of dessert $caf{\acute{e}}$ in college students. This survey was conducted for college students who have used dessert $caf{\acute{e}}$ mainly in college areas where dessert cafes are concentrated in Seoul. The survey was conducted on August 17, 2017 to 28 August. A total of 250 copies of the questionnaires were distributed and 208 copies of valid data were used for the analysis. The results of the analysis are as follows. First, emotional experience value and service experience value were found to affect customer loyalty, and cognitive experience value did not affect customer loyalty. Second, the economic and health seeking type showed a positive(+) moderating effect between emotional experience value and customer loyalty, and negative(-) moderating effect between cognitive experiential value and customer loyalty. Next, atmosphere seeking type showed a moderating effect between service experience value and customer loyalty, and the eating out seeking type showed a moderating effect between emotional experience value and customer loyalty. Finally, convenience seeking type showed positive(+) moderating effect between cognitive experiential value and customer loyalty, and negative(-) moderating effect between service experience value and customer loyalty. Based on the results of this study, the dessert cafe operator can grasp the experience value of college students in order to secure college students who are using dessert cafe as loyal customers. In particular, the relationship between experience value and customer loyalty, it is expected to provide useful data for constructing a specific positioning strategy according to each segment market.