• The Korean Journal of Franchise Management
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• v.15 no.3
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• pp.71-85
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• 2024

Purpose: This study aims to investigate the impact of product and service quality on customer surprise and delight, revisit intention, and SNS word-of-mouth (WOM) intention in the context of franchise restaurants in Korea, focusing on Chinese tourists' experiences. This analysis provides strategic insights into improving customer experiences and driving positive behavioral outcomes within the franchise foodservice sector. Research Design and Methodology: Data were collected from 395 Chinese tourists who visited Korean franchise restaurants using a self-administered questionnaire approach and analyzed with SmartPLS 4.0. Reliability, convergent and discriminant validity were assessed using measurement model. Hypotheses were tested using structural equation model. Results: This study verified that customer's service experience affects customer surprise and delight, which in turn is an important factor in increasing revisit intention and SNS WOM and supports the SOR framework that explains these relationships. In other words, this study presented a model that expands the traditional service quality → customer satisfaction → behavioral intention framework by including surprise and delight. The study also revealed that both product quality and service quality positively influence customer delight. Furthermore, customer surprise and delight significantly influence revisit intention and SNS WOM. The findings suggest that enhancing product and service quality can lead to higher levels of customer surprise and delight and greater likelihood of revisits and positive online feedback.

• Electronics and Telecommunications Trends
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• v.32 no.5
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• pp.65-73
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• 2017

A holography technique optically reconstructs a three-dimensional object in space to provide a natural sense of depth and volume to the observer, thereby providing an ultimate 3D image capable of solving the problem of "vergence-accommodation conflict" occurring in a conventional stereoscopic imaging system. In this paper, we present a technical framework for measuring the performance and evaluating the quality of a holographic display, which enables a quantitative measurement of the optical and physical properties that affect the performance and quality of a holographic display. In addition, we provide the trend regarding standardization related to holographic display measurements. Although this trend has barely started, research activities related to holographic display measurements and quality evaluations are expected to grow in the near future.

• Journal of Korean Academy of Nursing
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• v.34 no.3
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• pp.449-457
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• 2004

Purpose: The aim of this study was to analyze economical efficiency of home care service by comparing a cost-utility ratio(CUR) between home care and hospitalization. Method: The analytic framework of this study was constructed in 5 stages: Identifying the analytic perspectives, measurement of costs, measurement of utility, analysis of CUR, and sensitivity test. Data was collected by reviewing medical records, home care service records, medical fee claims, and other related research. Result: The mean of the annual total cost was 23,317,636 Won in home care and 73,739,352 Won in hospital care. QALY was 0.389 in home care and 0.474 in hospital care, so CUR was 299,712,545 QALY in home care and 777,841,266 QALY in hospital care. Conclusion: The findings affirmed that home care had an economical efficiency in the aspect of utility compared to hospitalization. Therefore, the findings of this study can be used to develop a governmental health policy or to expand the home care system. In addition, the cost-utility analysis framework and process of this study will be an example model for cost-utility analysis in nursing research. Therefore, it will be used as a guideline for future research related to cost-utility analysis in nursing.

• Journal of Korean Academy of Nursing Administration
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• v.9 no.1
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• pp.75-88
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• 2003

Purpose : The Purposes of this study was to develop a learning organization measurement for nurses, and to test the validity and reliability of the measurement. Method : This study was conducted through 3 phases -theoretical framework choice, measurement items selection, and the testing of validity and reliability. In order to test reliability and validity of the measurement, data were collected from the 261 nurses, working in the 1 hospital with more 800 beds. The data obtained were analyzed by SPSS for Window program using percentages, Factor Analysis, Cronbach's alpha coefficients. Result : As a result of the study, 2 scales -Learning Organization Building Scale, and Knowledge Management Process Scale- were developed. Learning Organization Building Scale was consisted of 23 items, 5 factors. 5 factors explained 60.26% of the total variance, and the Cronbach's alpha of this scale was .8807. Knowledge Management Process Scale was consisted of 17 items, 4 factors. 4 factors explained 66.14% of the total variance, and the Cronbach's alpha of this scale was .9147. Conclusion : The Study supports the validity and reliability of the scales. Therefore, these scales can be effectively utilized for many researches about Learning organization of Nurse, and Nursing organization in the Hospital Setting.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.45-55
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• 2012

Electronic data management is getting important to reduce overall cost and run-time of clinical data management with the enhancement of data quality. It also critically needs to meet regulated guidelines for the overall quality and safety of electronic clinical trials. The purpose of this paper is to develop the performance evaluation framework in electronic clinical data management. Four key metrics in the area of infrastructure, intellectual preparation, study implementation and study completion covering major aspects of clinical trial processes are proposed. The performance measures evaluate the extent of regulation compliance, data quality, cost and efficiency of electronic data management process. They also provide measurement indicators for each evaluation items. Based on the key metrics, the performance evaluation framework is developed in three major areas involved in clinical data management - clinical site, monitoring and data coordinating center. As of the initial attempt how to evaluate the extent of electronic data management in clinical trials by Delphi survey, further empirical studies are planned and recommended.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.91-112
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• 2019

The IoT environment has led to explosive growth of existing enterprise data, and how to utilize such big data is becoming an important issue in the management field. In this paper, major factors affecting the decisions of companies to utilize big data have been studied. And also, the effect of big data utilization on the management quality is studied empirically. During this process, we have studied the difference according to the award of Korean national quality award. As a result of the study, we confirmed that the five factors such as cost from technology, organization and environment perspective, compatibility, company size, chief officer support, and competitor pressure are key factors influencing big data utilization. Also, it was confirmed that the use of big data for management activities has an important influence on the six management quality factors based on MBNQA, and that the management quality level of Korean national quality award companies is relatively high. This paper provides practical implications for companies' use of big data because it demonstrates for the first time that big data utilization has an impact on management quality improvement.

• Journal of Communications and Networks
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• v.15 no.3
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• pp.301-311
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• 2013

This paper proposes a policy-based quality of service (QoS) management framework for adaptive routing decisions. We present an approach considering interior gateway protocol (IGP) for path discovery mechanisms and QoS-aware policies for configuring the network elements. The integration of the aforementioned modules into this policy-based network management (PBNM) system is demonstrated by conducting experiments in a real environment, the hellenic public administration network SYZEFXIS. These experiments combine different traffic conditioning mechanisms through event detectors, consider IP service level agreement mechanisms that interoperate with the PBNM system and analyze the enforcement of IGP and QoS policies. Finally, validation and measurement tools are used to prove the efficiency of this framework. It is shown that this architecture offers significantly increased performance and learning capabilities, while the PBNM system achieves adaptive QoS routing through automated configuration considering the avoidance of suboptimal routing issues or under-performance conditions of the network entities.

• Journal of Korean Academy of Nursing
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• v.37 no.3
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• pp.286-294
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• 2007

Purpose: The aim of this study was to develop a performance measurement scale for nurses in the hospital setting and to test the reliability and validity of the scale. Methods: This study was conducted in three phases including an application of conceptual framework, development of scale items, and test of validity and reliability of the scale. In order to test validity and reliability, data was collected from 1,966 nurses who work in twenty eight hospitals nation-wide. The data was analyzed by the SAS 8.0 program using descriptive statistics, factor analysis, and reliability coefficients. Results: The Performance measurement scale consisted of 4 factors which included competency, attitude, willingness to improve, and application of nursing process, and a total of 17 items. The Four factors explained 63.45% of the total variance, and Cronbach's alpha of the scale was.92. Conclusion: The performance measurement scale developed by this study is a reliable and valid instrument that is utilized effectively to evaluate the performance of hospital nurses. Furthermore, it could be used as a sloping stone to assess educational needs of nurses, develop professionalism among nurses, and improve quality of nursing care in the hospital setting.

• ETRI Journal
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• v.42 no.5
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• pp.686-699
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• 2020

In this paper, we propose a supervised-learning-based spatial performance prediction (SLPP) framework for next-generation heterogeneous communication networks (HCNs). Adaptive asset placement, dynamic resource allocation, and load balancing are critical network functions in an HCN to ensure seamless network management and enhance service quality. Although many existing systems use measurement data to react to network performance changes, it is highly beneficial to perform accurate performance prediction for different systems to support various network functions. Recent advancements in complex statistical algorithms and computational efficiency have made machine-learning ubiquitous for accurate data-based prediction. A robust network performance prediction framework for optimizing performance and resource utilization through a linear discriminant analysis-based prediction approach has been proposed in this paper. Comparison results with different machine-learning techniques on real-world data demonstrate that SLPP provides superior accuracy and computational efficiency for both stationary and mobile user conditions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.50-63
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• 2021

There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.