• The Research Journal of the Costume Culture
• /
• v.4 no.2
• /
• pp.173-185
• /
• 1996

The purpose of this study was to identify the relationship of clothing involvement and clothing buying behavior of women. A questionnaire was developed to measure clothing involvement, clothing purchasing motives, clothing purchasing criteria, fashion information sources, store selection criteria, and demographic characteristics. The questionnaire was administered to 430 female adults in Taegu. The data were analyzed using percentage, frequency, factor analysis, and t-test. The results of the study were s follows: 1. Subjects were divided into low clothing involved and high clothing involved groups. 2. Three dimensions of clothing purchasing motives were derived by factor analysis such as Aesthetic dependant, Impulsive, and Practical motive. Clothing purchasing criteria were factor analysed as Aesthetic, Qualitative, External, and Economical criterion. Fashion information sources were factor analysed as Printed & audio-visual oriented media, Marketer intensive search, Store search, Observation & Interpersonal search, and Experience. Store selection criteria were factor analyzed as Merchandise & Store atmosphere, Store convenience, and Brand & fashion. 3. There were significant differences between high involved and low involved consumers in clothing purchasing behavior. The high involved consumers showed more importance than low involved consumers about purchasing criteria expecially in aesthetic dependant. The high involved consumers put more importance to aesthetic, qualitative, and external criterion as clothing purchasing criteria. The high involved information sources. The high involved consumers were more concerned about merchandise & store atmosphere, and brand & fashion than low involved consumers in store selection criteria.

• Asia pacific journal of information systems
• /
• v.16 no.3
• /
• pp.177-192
• /
• 2006

Following the idea of "what you measure is what you get," this paper discusses the necessity to improve the plan and management of Application Service Provider (ASP) service based on performance evaluation. The Balanced Scorecard (BSC) has been used as a tool for suggesting the measures that can evaluate performance of a company by considering both financial and non-financial perspectives. The current BSC does not provide techniques to formally define, verify, implement and analyze the performance measures of ASP. Therefore, we developed a methodology for strategy development of ASP service by analyzing the BSC performance measures. This methodology provides a strategy for improving ASP service. The methodology proposed in this paper provide executives with core parts for achieving vision as well as the corresponding interpretation model for developing strategy. The methodology consists of the following two phases: BSC and Importance-Performance Analysis (IPA) phase. The methodology is illustrated through a case study in each phase. The case study shows practical deployment of our methodology.

• Safety and Health at Work
• /
• v.6 no.4
• /
• pp.345-352
• /
• 2015

Background: Goal-oriented communication of risk of hazards is necessary in order to reduce risk of workers' exposure to chemicals. Adequate training of workers and enterprise priority setting are essential elements. Cleaning enterprises have many challenges and the existing paradigms influence the risk levels of these enterprises. Methods: Information on organization and enterprises' prioritization in training programs was gathered from cleaning enterprises. A measure of enterprises' conceptual level of importance of chemical health hazards and a model for working out the risk index (RI) indicating enterprises' conceptual risk level was established and used to categorize the enterprises. Results: In 72.3% of cases, training takes place concurrently with task performances and in 67.4% experienced workers conduct the trainings. There is disparity between employers' opinion on competence level of the workers and reality. Lower conceptual level of importance was observed for cleaning enterprises of different sizes compared with regional safety delegates and occupational hygienists. Risk index values show no difference in risk level between small and large enterprises. Conclusion: Training of cleaning workers lacks the prerequisite for suitability and effectiveness to counter risks of chemical health hazards. There is dereliction of duty by management in the sector resulting in a lack of competence among the cleaning workers. Instituting acceptable easily attainable safety competence level for cleaners will conduce to risk reduction, and enforcement of attainment of the competence level would be a positive step.

• Child Health Nursing Research
• /
• v.25 no.2
• /
• pp.143-153
• /
• 2019

Purpose: The purpose of this study was to examine the frequency, perceived importance and competence of pediatric emergency nursing practice (PENP) in nurses who cared for pediatric patients in the emergency department. Methods: This cross-sectional descriptive study analyzed 175 emergency department nurses caring for pediatric patients at 7 university hospitals with more than 500 beds, located in Seoul and Gyeonggi Province. The measurement tool was modified from the Classification of Standard Nursing Activities to measure the frequency, importance of PENP, and nursing competence. It comprised 143 items in 16 domains of PENP. Results: The most frequent nursing practice was the domain of 'nursing records and environmental management' and the least frequent practice was the 'research and consulting' domain. The nursing care domain perceived to be most important by nurses was 'specialized intensive nursing care'. The nursing care domain with the highest level of nursing competence was 'hygiene care', and the domain with the least level of nursing competence was the 'research and consulting'. Conclusion: These results will be utilized as basic data for future pediatric emergency nursing education initiatives and for establishing priorities of nursing policy to improve health care for children admitted to the emergency department.

• The Journal of Industrial Distribution & Business
• /
• v.12 no.5
• /
• pp.27-36
• /
• 2021

Purpose: This study empirically investigates the effect of collaborative communication and information sharing on the supply chain performance of South Korean pharmaceutical companies. Specifically, it understands the importance collaborative communication and suggests a method for investigating communication in academic research on the pharmaceutical industry. Investigating this sector is crucial because the importance of the pharmaceutical industry is increasing globally against the background of the Covid-19 pandemic. Research design, data, and methodology: A questionnaire was administered to employees of South Korean pharmaceutical companies and 244 valid responses were used for the statistical analysis. Additionally, structural equation modeling was used to measure the relationships between the observed and latent variables. Results: Collaborative communication has a positive effect on information sharing. However, information sharing, unlike collaborative communication, does not exhibit a significant positive relationship with supply chain performance. These results indicate that it is important to communicate effectively in the supply chain rather than strive for the right type of information sharing. Conclusions: Consumers and retailers within the supply chain should continue to strive for candid communication. This study is meaningful, as it empirically tests the relationships between collaborative communication, information sharing, and supply chain performance in the South Korean pharmaceutical industry.

• Nuclear Engineering and Technology
• /
• v.54 no.4
• /
• pp.1336-1342
• /
• 2022

Risk-informed safety classification of structures, systems and components (SSCs) is very important for ensuring the safety and economic efficiency of nuclear power plants (NPPs). However, previous methods for safety classification of SSCs do not take the plant operating modes or the operational process of SSCs into consideration, thus cannot concentrate on the safety and economic efficiency accurately. In this contribution, a new method for safety classification of SSCs based on the categorization of plant operating modes is proposed, which considers the NPPs operating history to improve the economic efficiencies while maintaining the safety. According to the time duration of plant configurations in plant operating modes, average importances of SSCs are accessed for an NPP considering the operational process, and then safety classification of SSCs is performed for plant operating modes. The correctness and effectiveness of the proposed method is demonstrated by application in an NPP's safety classification of SSCs.

• Journal of the Korean Society for Library and Information Science
• /
• v.45 no.3
• /
• pp.327-343
• /
• 2011

The goal of this study was to examine ways to improve the quality of databases of the Korean National Assembly Digital Library(KNADL). In order to achieve the goal, we first designed an assessment tool that could measure the quality of the 'contents,' the 'service,' and the 'system' of the KNADL's databases. Each of the three categories also had sub-categories-i.e., eight sub-categories for 'contents'(e.g., accuracy, recency, ${\cdots}$), seven sub-categories for 'service'(e.g., convenience for request, rapid response, ${\cdots}$), and seven sub-categories for 'system'(e.g., usability, response time, ${\cdots}$). We thenconducted a survey using the assessment tool we developed and gathered a total of 270 responses from users of KNADL's databases. We used Excel and PASW Statistics 18 for data analysis. Each sub-category was measured by its importance and by the level of satisfaction(implemented from the DigiQUAL project). Finally, we performed an importance-satisfaction analysis(ISA) to identify what action(i.e., maintain, concentrate, low priority, and exceed) needs to be made in each sub-category. We concluded the paper with some useful suggestions for improving the quality of KNADL's databases.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.1
• /
• pp.37-44
• /
• 2015

In traditional social network analysis, the betweenness centrality measure has been heavily used to identify the relative importance of nodes. Since the time complexity to calculate the betweenness centrality is very high, however, it is difficult to get it of each node in large-scale social network where there are so many nodes and edges. In our past study, we defined a new type of network, called the expanded ego network, which is built only with each node's local information, i.e., neighbor information of the node's neighbor nodes, and also defined a new measure, called the expanded ego betweenness centrality. In this paper, We propose algorithm that quickly computes expanded ego betweenness centrality by exploiting structural properties of expanded ego network. Through the experiment with virtual network used Barab$\acute{a}$si-Albert network model to represent the generic social network and facebook network to represent actual social network, We show that the node's importance rank based on the expanded ego betweenness centrality has high similarity with that the node's importance rank based on the existing betweenness centrality. We also show that the proposed algorithm computes the expanded ego betweenness centrality quickly than existing algorithm.

• The Transactions of the Korea Information Processing Society
• /
• v.4 no.9
• /
• pp.2299-2308
• /
• 1997

While most machine learning research has been primarily concerned with the development of systems that implement one type of learning strategy, we use a multistrategy approach which integrates rule induction learning and instance-based learning, and show how this marriage allows for overall better performance. In the rule induction learning phase, we derive an entropy function, based on Hellinger divergence, which can measure the amount of information each inductive rule contains, and show how well the Hellinger divergence measures the importance of each rule. We also propose some heuristics to reduce the computational complexity by analyzing the characteristics of the Hellinger measure. In the instance-based learning phase, we improve the current instance-based learning method in a number of ways. The system has been implemented and tested on a number of well-known machine learning data sets. The performance of the system has been compared with that of other classification learning technique.

• The Journal of Information Technology
• /
• v.12 no.2
• /
• pp.13-29
• /
• 2009

ERP in the past, primarily centering on large enterprises and the introduction of competition in the global e-business, but along with the proliferation of small and medium-sized enterprises are now in earnest, or to take advantage of the introduction of the ERP plan. However, the introduction of the ERP cost and the effort required to develop, because many never previously introduced ERP expect that the introduction of cost and performance comparisons with the measurement is necessary. Until now, however, the introduction of a framework of analysis followed the introduction of ERP primarily to measure performance of a major improvement. This research, in addition to improving the performance of these tasks have been overlooked until now for the system's user satisfaction BSC (Balanced Scorecard) models and techniques using AHP-specific understanding of the Company (Group executives, middle managers groups, and user groups) Importance of priorities you want to analyze. In summary, the key findings of this study follows. First, ERP user satisfaction measurement for the balanced scorecard indicators in terms of the redevelopment. Second, the information system user satisfaction to the user layer (Layer 3), grouped by the measure. Thirdly, the user satisfaction of the important topics for attention as quantified by measuring the hierarchy. This model is for satisfaction levels as quantitative of future users of the new system, information systems and the introduction of a new model of development based on the evaluation data will be able to take advantage of.