• Journal of the Korean Society for information Management
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• v.37 no.4
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• pp.1-26
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• 2020

In today's increasingly data-intensive academic environment, data is becoming the foundation of academic communication as a research outcome rather than a research by-product. However, there is a limit to guaranteeing actual data reuse only by expanding the data supply or securing accessibility. In order to overcome this, it is necessary to understand the data reuse behavior and data needs in-depth. Therefore, this study attempted to identify the major data reuse behavior and data needs among researchers. To this end, the authors of KCI papers among the data reuse documents of the Korea Social Science Data Archive (KOSSDA) for the past 3 years were targeted. An in-depth interview was conducted with 12 researchers who accepted the interview. As a result, factors considered when reusing data were personal, economic, technical, and social aspects, and it was found that the data itself was used or contextual information of the data was used depending on the purpose of data reuse. The path to acquiring data is a web-based source of information, and a path through informal communication can also be found. In terms of the data needs, it was found that they prefer English, the United States, and institutional producers. Also they have a clear preference for quantitative data from an interviewer-filled interpersonal interview survey method, rich metadata along with raw data, and data that contains identification information. However, due to the lack of confidence in the value, it is negative for the use of data with controlled access and use, and it is difficult to confirm a clear preference because there is no similar data available for selection in terms of size and freshness.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.199-205
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• 2022

The extensive growth in data rate demand by the smart gadgets and mobile broadband application services in wireless cellular networks. To achieve higher data rate demand which leads to aggressive frequency reuse to improve network capacity at the price of Inter Cell Interference (ICI). Fractional Frequency Reuse (FFR) has been recognized as an effective scheme to get a higher data rate and mitigate ICI for perfect geometry network scenarios. In, an irregular geometric multicellular network, ICI mitigation is a challenging issue. The purpose of this paper is to develop distributed dynamic power allocation scheme for FFR based on game theory to mitigate ICI. In the proposed scheme, each cell region in an irregular multicellular scenario adopts a self-less behavior instead of selfish behavior to improve the overall utility function. This proposed scheme improves the overall data rate and mitigates ICI.

• Information Systems Review
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• v.25 no.1
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• pp.75-91
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• 2023

Thanks to information technologies, sharing economy services offer a new way of consumption. Carsharing appeared as a novel type of service that transformed the conventional way of personal transportation, from owning a vehicle to using an on-demand service. Allowing users to use a vehicle without owning a car, carsharing provides various social benefits such as the reduction of resource allocation inefficiencies and the alleviation of transportation problems. To strengthen such positive aspects of carsharing service, it is essential to understand an individual's service usage pattern and reveal factors that affect users' reuse behavior. This study investigates the factors that have an influence on carsharing reuse of users applying RFMC (Recency, Frequency, Monetary, and Clumpiness) model, the popular model for understanding the reuse likelihood of customers. Using data from a leading carsharing service provider in South Korea, we empirically analyze the effect of RFMC on carsharing reuse behavior. The findings show that recency and monetary values are negatively related to reuse while frequency is positively related to carsharing service reuse. Moreover, the impact of recency and monetary value are more salient whereas the impact of frequency is smaller among users with higher clumpiness. Based on these findings, this study elaborates on theoretical and practical implications.

• Journal of Information Technology Applications and Management
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• v.16 no.3
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• pp.45-58
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• 2009

This paper is an empirical study especially to understand recent Chinese internet banking users' behavior and intentions through the process quality, outcome quality, customer satisfaction, reuse and word of mouth on internet banking service. The results of this study are as follows. First, percieved process quality of internet banking service affects the outcome quality, and both quality have a direct relation to customer satisfaction. It is found that Chinese internet users perceive a difference between process quality and outcome quality of internet banking service. And the reuse of the internet banking is decided by customer satisfaction as well as the word of mouth of the internet banking. For successful internet banking business in China, internet marketers should recognize that the service quality consists of the process quality and the outcome quality, and they should organize a new campaign that takes this information into consideration. And considering the process quality effect, they should pay attention to service process as well as the direct merit of services.. And if an internet banking service properly meets customer demands, internet users would constantly use internet services and would share good experiences with their neighbors. Therefore the result of our study will be of working-level help for financial company in China.

• Fashion & Textile Research Journal
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• v.25 no.5
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• pp.568-577
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• 2023

This study examined how middle-aged female consumers' environmental consciousness influences their attitudes and ethical purchasing behavior toward RUR (recycling, upcycling, and reuse) knit products. The research employs a survey method, targeting 30-40 year old women residing in Seoul and Gyeonggi-do Province. On-line and off-line data collection were conducted. The following conclusions emerged through statistical analyses, including factor analysis, cluster analysis, t-test, and regression analysis. Firstly, respondents' environmental consciousness variables were classified into two factors, delineating high and low environmental consciousness clusters, demonstrating significant differences between them. Secondly, the high environmental consciousness cluster exhibited more positive consumer attitudes and ethical purchasing behavior towards RUR knit products. Moreover, it was established that environmental pollution consciousness and eco-friendly product purchase consciousness influenced environmental consciousness on consumer attitudes and ethical purchasing behavior. Lastly, the study confirmed that consumer attitudes mediated environmental consciousness and ethical purchasing behavior. In conclusion, this research establishes a meaningful link between environmental consciousness, consumer attitudes, and ethical purchasing behavior in 30-40 year old women. Environmentally conscious groups positively influence attitudes toward RUR knitted fashion and promote ethical purchasing behavior. Consequently, it is recommended that knit fashion companies prioritize environmental consciousness and eco-friendly products in their marketing strategies. Furthermore, diversifying the application of RUR knit products, coupled with eco-friendly production techniques, can amplify their appeal and utility, ensuring a positive impact on consumer behavior.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.10-14
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• 2015

Unsafe behavior is one of the major causes of construction accidents. Managing the behavior of workers in real-time is difficult and requires huge manpower. In this paper, a new real-time locating framework is proposed to improve safety management by collecting and analyzing data describing the behavior of workers to identify habits that may lead to accidents. The aim of the study is to identify working habits of workers based on their location history. Location data is used to compare with that of other workers and equipment. The results indicate that the reuse of real-time location data can provide extra safety information for safety management and that the proposed system has the potential to prevent struck-by accidents and caught-in between accidents by predicting unwanted interaction between workers and equipment. This adds to current research aimed at automating construction safety to the point where the continuous monitoring, managing and protection of site workers on site is possible.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.135-148
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• 2003

In this paper we introduce the Internet-based purchase support systems using data mining and case-based reasoning (CBR). Internet Business activity that involves the end user is undergoing a significant revolution. The ability to track users browsing behavior has brought the vendor and end customer's closer than ever before. It is now possible for a vendor to personalize his product message for individual customers at massive scale. Most of former researchers, in this research arena, used data mining techniques to pursue the customer's future behavior and to improve the frequency of repurchase. The area of data mining can be defined as efficiently discovering association rules from large collections of data. However, the basic association rule-based data mining technique was not flexible. If there were no inference rules to track the customer's future behavior, association rule-based data mining systems may not present more information. To resolve this problem, we combined association rule-based data mining with CBR mechanism. CBR is used in reasoning for customer's preference searching and training through the cases. Data mining and CBR-based hybrid purchase support mechanism can reflect both association rule-based logical inference and case-based information reuse. A Web-log data gathered in the real-world Internet shopping mall is given to illustrate the quality of the proposed systems.

• Journal of the Korean Home Economics Association
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• v.36 no.12
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• pp.191-200
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• 1998

The purpose of this study were to examine the disposal consciousness of foods waste and meal management behavior related to environmental conservation, and to find out the ways to improve the disposal of foods waste. Data were collected from questionaire with 786 housewives who live in Chonbuk area. About 45% of foods waste consisted of vegetables and fruits. The levels of cooking(use) and idsposal behavior among meal management behavior were relatively high, but food preparation(buy) score was low. These results suggested that menu planning before food preparation, and buying some cleaned and trimmed foods in the market should be recommennded to reduce the foods waste. The levels of meal management behavior did not show any significant associaations with disposal consciousness of foods waste but were positively correlated to environmental conciousness. It could be thought that the effort of government administration to reduce and reuse of foods waste is needed to improve the desirable disposal behavior of that, and the well programmed enviornmental education should be more required and practical than increase the environmental conciousness.

• Fashion & Textile Research Journal
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• v.18 no.6
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• pp.833-843
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• 2016

Due to the rapid expansion of fashion, consumers easily purchase fashion products, the period of wearing apparel is shortened, and the occurrence of clothes piling up in the closet is increasing. In order to induce and suggest rational consumption and disposal actions, research focused on the factors influencing difficulty discarding and disposal behavior toward a fashion product is needed. Thus, this study considered fashion-shopping orientation as a variable affecting difficulty discarding and disposal behavior toward fashion products. A total of 325 questionnaires were collected, and 11 were discarded due to partial responses or missing data. Finally, a total of 314 survey questionnaires were analyzed. Frequency, exploratory factor, reliability, and multiple regression analyses were employed for data analysis using SPSS 23.0. The study results were as follows. First, hedonic and economic shopping orientation positively affected difficulty discarding a fashion product, whereas rational shopping orientation negatively affected difficulty discarding a fashion product. Second, hedonic, economic, and conspicuous shopping orientation positively affected reuse behavior among disposal behavior toward a fashion product. Third, trend-seeking and convenient shopping orientation positively influenced handover behavior. Fourth, economic and conspicuous shopping orientation positively affected separation discard behavior. The results of this study provide various guidelines for manufacturers and retailers of fashion products.

• Journal of KIISE:Software and Applications
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• v.33 no.3
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• pp.289-300
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• 2006

Product line is nowadays well known as a representative method for reuse. In the product line, important assets are components. Although enough concerns were given of the product line, it was not accomplished to structure and specify a product-line component with variability. This paper presents an approach to specify components in the product line. The approach describes the static and dynamic structure of a product-line component and explains the behavior and concurrency of the component. The component information is separately described in the black-box and white-box using the Feature-Oriented Reuse Method(FORM). This research also formalizes the data on a component specification in the form of BNF. The specification is described through careful consideration for many different characteristics of the product-line component, so this paper helps to easily develop the components in the product line and to well comprehend how to apply a method for the product line.