• The Journal of Economics, Marketing and Management
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• v.12 no.4
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• pp.65-76
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• 2024

Purpose: This study aims to identify the relationship between SMEs' digital transformation capabilities, smart factory utilization, and management performance. It also aims to suggest how companies strategically utilize smart factories to achieve a competitive advantage and sustainable growth through empirical analysis of differences in innovation resistance and organizational characteristics. Research design, data, and methodology: This study Implement for SME's building smart factories did. The survey was conducted for 90days from October 1st, 2023 to December 31th, 2023. Total of 210 surveys were collected, and 186 surveys, excluding ones with missing value and outliers (64 surveys), were used. Results: The results of the empirical analysis based on previous research are as follows. First, digital transformation capabilities such as digital technology, digital leadership, and digital strategy affect smart factory utilization. Second, smart factory use affects operational performance. Third, innovation resistance has a moderating effect in the relationship with digital transformation capabilities, smart factory utilization, and management performance. Fourth, organizational characteristics have a moderating effect in the relationship with digital transformation capabilities, smart factory utilization, and management performance. Conclusions: Explore strategic ways to improve your organization's digital transformation capabilities. It is necessary to establish a strategy to make organizational members aware of the necessity and importance of introducing a new system through centralization of the organization.

• Journal of the Korea Safety Management & Science
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• v.5 no.1
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• pp.93-102
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• 2003

Utilization rate for the gate and required time and walking distance to boarding flight are important measures for the gate management and passenger's convenience estimation. So, the main purpose of the gate management are the maximization of utilization rate and improvement of airport terminal user's convenience through the efficient gate management. This study intends to maximize the utilization rate of usable gates by considering layout, terminal configuration, local passenger of the airport and development of gate assignment algorithm and DSS which maximizes the gate utilization and minimizes the passengers' walking distance. And the decision support system can provide an efficient means of airport management of airport using an assignment algorithm.

• Health Policy and Management
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• v.13 no.1
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• pp.69-97
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• 2003

This study focuses on the determinants of the community health service utilization. Theories suggest seven models for community health service utilization, which are divided largely into two groups such as Health Service Supply Model and Health Service Demand Model: Supply Model includes Medical Implements Model, Personnel and Budget Model, Management System Model, Staffs' Behavior Model, Service Quality Model; Demand Model includes Area Model and Clients' Characteristics Model. This paper tests how the above models influence on the community health service utilization. After interviewing some administrative staffs of the Community Health Service Center at Pusan, questionnaires were made and mailed to the staffs of 198 Korean Community Health Service Center as a universe, among which from 98 centers we got response. Analyzing the data from the questionnaires, we found "the number of personnels in the health service center" and "demands for medical service" as important variables to affect the utilization of the community health service center. These two variables are typical factors representing Supply Model and Demand Model each. However, the variables selected from Management System Model, Administrative Behavior Model, Service Quality Model and Area model are not significant in a statistical sense. The paper suggests that to recruit the personnels, especially nurses, and to make out the demands of the clients for health service be the precedent conditions to increase the utilization of the Community Health Service Centers in Korea.ce Centers in Korea.

• Korean Journal of Construction Engineering and Management
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• v.25 no.4
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• pp.24-33
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• 2024

Recently, as smart construction has become more active, construction companys are evaluating their smart construction capabilities in order to transform into smart construction companies. However, the revitalization of smart construction doesn't only apply to construction companies, the level of utilization of all participants, including owners, designers, construction project managers, and construction company, must be improved. Therefore, this study aims to present a model that evaluate the building information modeling (BIM) utilization level for measuring the BIM utilization level of construction management companies in executing construction project management. In this study, an AHP questionnaire survey targeting BIM practitioners to calculate the weight of each BIM utilization item and score it to construct evaluation model and evaluate it by applying it to construction management companies are conducted. As a result of the evaluation using model, there were differences between companies in the number of BIM users, and in the qualitative evaluation, it is mainly used for interference review, constructability review, and design change management. Therefore, in order to revitalize BIM, it is believed that it is necessary to strengthen BIM utilization ability through separate training for construction manager (CMr) and to present clear utilization standards and scope of work for BIM utilization in performing construction management tasks. Consequently, evaluating more construction management companies using the model presented in this study will result in the transition of CM companies to smart construction and revitalization of BIM adoption.

• Journal of the Korean Society for information Management
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• v.28 no.3
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• pp.239-256
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• 2011

Main drivers of knowledge activities such as knowledge sharing and utilization are individual members of an organization and thus knowledge management strategies should be discussed in relationships with human resource management. This study analyzes the effects on knowledge sharing and knowledge utilization of human resource management practices such as training, participation in decision-making, performance appraisal and compensation system in local government. The results show that training and performance appraisal and compensation system are significantly influential factors for the knowledge sharing and knowledge utilization. Lessons and implications of this study for management leadership are presented.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.207-229
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• 2013

The aim of this study is to analyze how both the quality of KMS (Knowledge Management System) and its organizational factors have effect on the utilization and user satisfaction in the defense sector. This study has verified the effects and identified the main factors affecting KMS performance measures. The nature of KMS quality and its organizational characteristics were deduced from previous research results, and a questionnaire survey was conducted on 250 KMS users in the defense sector on the performance of KMS based on the time spent on KMS and the overall satisfaction through which the hypothesis was verified. This study has made several contributions in the fact that it had provided the opportunity to analyze which factors have impact on knowledge management performance in the defense sector and the utilization and users' satisfaction of KMS reflecting the viewpoint of the organizational characteristics of the military, while studying the factors which can affect the performance for knowledge management.

• Proceedings of the Safety Management and Science Conference
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• 2001.11a
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• pp.37-42
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• 2001

Utilization rate for the restrictive gate and required time and walking distance to board are to be a measure for the gate management and passenger's convenience estimation. So, the main purpose of the gate management are maximization of utilization rate and increment of airport terminal user's convenience through the efficient gate management. This study intends to maximize the utilization rate on usable gates by concerning about layout, terminal configuration, local passenger of the airport and development of gate assignment algorithm and DSS which maximize the gate utilization and minimize the passenger's walking distance.

• Research in Community and Public Health Nursing
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• v.21 no.4
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• pp.375-385
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• 2010

Purpose: This study examined the effects of case management (CM) for Medicaid on healthcare utilization considering the Medicaid system. Methods: Data were extracted from survey data on "Healthcare utilization and health status of Medicaid beneficiaries" conducted in 2007 and 2008 by the Ministry for Health, Welfare and Family Affairs. This study was designed to compare the effects on healthcare utilization between the CM group and the non-CM group. The subjects were 535 Type I Medicaid beneficiaries who utilized healthcare more than 365 days during 2006. Results: The outpatient days and medication days of the CM group decreased significantly more than those of the non-CM group with the copayment system. There were no significant differences of healthcare utilization between the CM group and the non-CM group with the designated doctor system. Conclusion: CM worked effectively on Medicaid beneficiaries' outpatient healthcare utilization with the copayment system. However, its effects on hospitalization, which is a major cause increasing the total expense, were not observed. Therefore, future studies are needed to develop strategies to reduce hospitalization and Medicaid beneficiaries outpatient healthcare utilization with the designated doctor system.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.39-58
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• 2012

This study was carried out to figure out the relationship between EAmaturity, information management capacity, and information performance, and find the effect between these variables and the reciprocal causation. The study found that EAmaturity has a positive effect on information resource management and performance. In other words, the effect of input, calculation, management and utilization factors on information planning in EAmaturity showed that calculation, management and utilization factors have a significant effect on the information planning. While the effect of input, calculation, management and utilization factors on information introduction and management showed that only both calculation and utilization have a significant effect on the information management factor. It says that EAinput in EAmaturity does not play a big part in the planning stage, as well as not go through a series of process that is connected to the maturity stage by immediate field application. Consequently, EAmaturity varies from the level that EAcreates introduction and performance according to organization. This suggests that the maturity and performance can be also changed by the level that EAcreates information performance by accepting and using this capability within organization as well as the capability to introduce and fully perform the EAsystem presented in enterprise architecture framework of public sector.

• 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.