• Fashion & Textile Research Journal
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• v.9 no.1
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• pp.65-71
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• 2007

This research is to explore relationship between the underwear shopping value and purchasing behaviors, as well as to figure out how the underwear store VM information has influence on consumers' purchase behaviors. Focus is placed on subdividing consumers into different groups according to underwear shopping value, and then verify whether VM information influences the consumer groups differently or not. This study, based on systematic understanding of an underwear consumption, will provide strategic suggestion to establish effective VM information of the underwear brand. The results of this study show that VM information is being utilized by the important clue when the consumers go shopping underwear. That's why the underwear brands should concentrate on developing VM by causing an interest and purchasing of consumers through corresponding with store's individuality and image. Also, the manner of performance should be related to brand image and theme reflected consumer's life style.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.328-339
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• 2005

The purpose of this study were to extract and empirically examine the effect variables on phase performance of relationship development process by identifying relationship development process between apparel store and customer. The questionnaires was asministered to 333 women frequency use of a department store, big shopping mall, discount store in Gwang-ju city during March 4-11, 2003. The data was analyzed by factor analysis, correlation analysis, and Structural Equation Model using LISREL 8.30 program. As the results, the perceived service quality with attractive factor of relationship explration phase direct positively influenced customer satisfaction among relationship expansion phases. However, relational benefit directly influenced customer satisfaction with the primary phase of relationship maintain as well as trust, customer commiment and long-term orientation. Also, customer satisfaction direct positively influenced trust, and customer' trust direct positively influenced customer commitment. Finally, the customer commitment direct positively influenced long-term orientation.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.865-880
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• 2021

The purpose of this study was to examine job competencies for sales training program development to maximize profits in fashion retailing. An empirical online survey was conducted from September to December 2019, and data was collected from 200 salespeople and store managers working in fashion stores. Results were analyzed using frequency analysis, factor analysis, variance analysis, and regression analysis with SPSS 25.0. The major findings of this study were as follows. First, the most important job competencies identified by fashion store managers were: sales sense know-how, customer service skills, and sales person's fashion style sense, product knowledge, fashion marketing and customer management. The job competency factors for sales training programs included empathy with the customer, product knowledge, communications and networking, basic job requirement, and sales skills. These five factors positively influenced the employment intentions and expectations of work performance of graduates. These factors also had a positive influence on the need of sales training program and intention to participate in retraining. Store managers in fashion retail thought the most appropriate period for on-the-job training was either 2-4 days or more than 1 week. The results of this study can be used as a base to develop training programs for job efficiency for salespeople in fashion retailing.

• Journal of Distribution Science
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• v.22 no.5
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• pp.131-138
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• 2024

Purpose: This study aims to fill the existing gap in the existing literature by investigating the mediating effect of psychological empowerment between leadership and motivation for workers at retail stores, and to extend the previous research to determine the preferences of the researchers and practitioners in leadership and employee motivation in retail through a systematic approach. Research design, data and methodology: This study used a systematic approach to the mediation effect of psychological empowerment on the relationship between leadership and employee motivation in retail stores. To ensure completeness, systematization, and transparency, the preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach was applied. Results: The research findings (Total Four Mediating Roles) suggest that psychological empowerment may mediate between leadership and employee motivation. These mediation roles (Empowering Leadership Styles, Organizational Culture and Psychological Empowerment, Customer Psychological Empowerment, and High-Performance Work Systems (HPWS) and Psychological Empowerment) will help practitioners comprehend how these empowerment and motivation leadership styles are interconnected in the retail industry. Conclusions: The research results indicate that psychological empowerment is essential for employee motivation in the retail sector. Through this knowledge, retail store managers can implement strategies designed to empower employees and create a motivated workforce, bolstering organizational effectiveness.

• Journal of Electrical Engineering and Technology
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• v.8 no.6
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• pp.1559-1570
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• 2013

The family of ISO/IEEE11073 standards is the basis of the e-health system and provides interoperability for personal health devices. In the early stage of e-health business, it was expected that people would use a health device individually. In this case, a measurement datum was episodically acquired and generally transmitted for one person at a time. Recently, a health device is expected to be used by multiple people, and large amounts of measurement data are gathered in a short time interval. In addition, mobile health devices have become more popular, so that energy efficient measurement data transmission is required, to prolong the use of a device. In IEEE11073 PHD standards, data transmission is classified into three different types: immediate individual transfer, small block transfer, and large block transfer. The large block transfer using PM-store concept provides efficient transmission. However, an existing PM-store has problem when a device is used by multiple people. To address the defined problem, a modified PM-segment that is in compliance with 11073 standards is proposed in this paper. In particular, the proposed PM-segment is designed to minimize the additional complexity of an agent instead of a manager and it is interoperable with the existing manager. The proposed PM-segment shows better performance than the existing PM-segment, in terms of memory requirements and expected queue time. Also, performance comparison among the three transfers is performed in regard to the delay time and communication power consumption points of view.

• Journal of Information Technology Services
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• v.21 no.4
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• pp.91-103
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• 2022

This study proposes a model for predicting contracted power using electric power data collected in real time from convenience stores nationwide. By optimizing the prediction model using machine learning, it will be possible to predict the contracted power required to renew the contract of the existing convenience store. Contracted power is predicted through the XGBoost regression model. For the learning of XGBoost model, the electric power data collected for 16 months through a real-time monitoring system for convenience stores nationwide were used. The hyperparameters of the XGBoost model were tuned using the GridesearchCV, and the main features of the prediction model were identified using the xgb.importance function. In addition, it was also confirmed whether the preprocessing method of missing values and outliers affects the prediction of reduced power. As a result of hyperparameter tuning, an optimal model with improved predictive performance was obtained. It was found that the features of power.2020.09, power.2021.02, area, and operating time had an effect on the prediction of contracted power. As a result of the analysis, it was found that the preprocessing policy of missing values and outliers did not affect the prediction result. The proposed XGBoost regression model showed high predictive performance for contract power. Even if the preprocessing method for missing values and outliers was changed, there was no significant difference in the prediction results through hyperparameters tuning.

• Proceedings of the Korea Society of Costume Conference
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• 2004.10a
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• pp.134-135
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• 2004

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.7
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• pp.592-601
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• 2018

The GPS/INS integrated navigation system, which is one of the electronic equipments mounted on military aircraft store, can not directly receive GPS signals by the aircraft wing before the drop, so GPS navigation data is received from the aircraft and used for filter integration, afterwards, the integrated navigation is performed using the GPS information directly received through the antenna. In this case, it is possible to operate the mount in old aircraft without any modification of the aircraft when GPS data is transmitted using wireless. However, the delay occurs while the aircraft navigation data is transmitted to the integrated navigation filter of the aircraft store via wireless, which affects the time synchronization of the GPS measurement and the INS information, affecting the integrated navigation performance. In this paper, an algorithm to analyze and compensate the effect of generation and transmission delay that can occur when implementing GPS/INS integrated navigation system of aircraft store that receives GPS data via wireless.

• Journal of KIISE:Software and Applications
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• v.32 no.8
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• pp.819-833
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• 2005

Code size reduction is ever becoming more important for compilers targeting embedded processors because these processors are often severely limited by storage constraints and thus the reduced code size can have a positively significant Impact on their performance. Various code size reduction techniques have different motivations and a variety of application contexts utilizing special hardware features of their target processors. In this work, we propose a novel technique that fully utilizes a set of hardware instructions, called the multiple load/store (MLS), that are specially featured for reducing code size by minimizing the number of memory operations in the code. To take advantage of this feature, many microprocessors support the MLS instructions, whereas no existing compilers fully exploit the potential benefit of these instructions but only use them for some limited cases. This is mainly because optimizing memory accesses with MLS instructions for general cases is an NP-hard problem that necessitates complex assignments of registers and memory off-sets for variables in a stack frame. Our technique uses a couple of heuristics to efficiently handle this problem in a polynomial time bound.

• Journal of the Korean Solar Energy Society
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• v.32 no.5
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• pp.52-58
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• 2012

Experimental study was performed to understand the real operation conditions of a showcase working usually in a convenient store and discount store. The purpose of this study was to show the possibility for practical use of cold-heat storage systems being operated for the showcase. To do that, evaporator and condenser temperatures were measured and the compressor electric power consumption were measured simultaneously. To use the ice storage system, the ice making process was typically operated during midnight being not needed the cooling of the showcase through the continuous running of the condenser unit. And then, the refrigerant was subcooled using the stored cold-heat after being discharged from the condenser during daytime. So, the cooling performance was increased with the sub-cooling of refrigerant during daytime,hence the actual running time of the compressor could be effectively decreased. Through the experiments, this study showed that the compressor electric power consumption during daytime could be transferred to nighttime for applying the refrigerant sub-cooling. So, for the convenient store, the maximum load transfer rates for each working cooler and showcase were estimated about 31.1% and 19.9% respectively. And for the discount store, the maximum load transfer rates for each refrigeration and freezing showcase were estimated about 34.1% and 49.0% respectively.