Maintaining the permanence of a company in the current rapidly changing business environment is not an easy task. Rather, the lifespan of a company can be said to be gradually decreasing. As such, the author of this paper, which describes the current market environment, is the sales organization of a large company. While leading the company, I thought about how to overcome the rapidly changing market and create an organization that continues to grow. As a result, I succeeded in creating an organization that continued to grow over the past two years, and the main activity of this result was the use of sales computer. It was clear that it was an information sharing activity. This can be said to be a result of proving that a series of activities to create and share information is important for the sales organization of ICT companies to actively respond to the rapidly changing market environment. Therefore, this study attempted to examine the relationship between knowledge management and business performance in the sales field of ICT companies, which has not been covered so far. Knowledge management is a four-stage activity from a process perspective, divided into knowledge creation, knowledge storage, knowledge transfer, and knowledge utilization. did. As a result of the study, first, knowledge management activities, such as knowledge creation and knowledge storage, were found to have a significant impact on financial performance. Second, knowledge management activities such as knowledge creation, knowledge storage, knowledge transfer, and knowledge utilization were all found to have an impact on non-financial performance. In the end, this study confirmed that efforts to turn tacit knowledge into knowledge in order to respond to the ever-changing ICT market are ultimately an important factor in growing a company.

Mid-sized manufacturing companies, which account for 0.7%(5,480 companies), 13.8%(1.169 million persons) of total employment, and 15.7% of total sales, have recently experienced a lot of difficulties in management activities due to the impact of COVID-19, the U.S.-China trade war, and the collapse of global supply chains. To overcome this, revitalization of quality management activities to strengthen corporate competitiveness is emerging as an urgent task. In order for these quality management activities to achieve their intended purpose, the positive leadership of corporate managers is very important above all else. There have been many studies related to positive leadership, but most have focused on charismatic leadership and transformational leadership centered on large companies or small and medium-sized enterprises. Therefore, this study aims to present ways to strengthen the leadership of managers by empirically analyzing how the positive leadership of managers of mid-sized manufacturing companies, which was relatively under-researched, affects quality management activities and Business performance(Balanced Score Card; BSC).

본 연구의 목적은 피부미용 종사자의 그릿이 자기효능감과 직무성과에 미치는 영향을 관계 에서 자기관리의 매개효과를 실증적으로 분석하는데 있다. 본 연구의 연구참여자는 서울·경기 스킨케어 샵과 병원 종사자 344명을 대상으로 구조화된 설문지를 통하여 자료를 수집하였다. 수집된 자료는 SPSS 와 AMOS 26.0 통계 프로그램을 이용하여 기술통계, 확인적 요인분석, 상관관계, 구조방정식모델, bootstrapping기법을 이용한 매개효과 분석을 통하여 자료를 분석하였다. 일련의 연구절차를 통하여 도 출된 결론은 다음과 같다. 첫째, 피부미용 종사자의 그릿은 자기관리, 자기효능감, 직무성과에 유의미한 정의(+)영향 관계를 나타내 었다. 둘째, 피부미용 종사자의 자기관리는 자기효능감과 직무성과에 유의미한 정의(+) 영향 관계를 나 타내었다. 셋째, 피부미용 종사자의 그릿과 직무성과와의 관계에서 자기관는 유의미한 매개효과가 있는 것으로 나타났다. 따라서 뷰티 산업 종사자들의 그릿 함양을 통해 자기관리, 자기효능감 및 직무성과를 높일 수 있는 인적관리와 교육 프로그램의 적용이 절실히 필요하다고 판단된다..

As a means to activate eco pastoral system in alpine grassland, the government can consider public pastures, which are currently unused, to scale them up into public ranches. Depending on ownership and operation, four management models proposed as follows: 1) Government-Owned and Operated with Balanced Profit and Loss 2) Government-Owned and Operated with Revenue Generation 3) Government-Owned but Privately Operated by Outsourced to Professional Manager 4) Full Privatization (Ownership and Operation by Private Individuals). The study outlined above proposes four management models for the activation of eco pastoral system in alpine grassland. It also suggests methods for the selection and performance evaluation of manager to establish a profitable structure. Additionally, the research provides management methods for the conservation of grazing ecology in pastoral ecosystems. Particularly, the adaptation of tools commonly used in South Korean business sector for the selection and performance evaluation of manager within the system of the proposed management models. This aspect is deemed valuable as it aligns these tools with the specific characteristics of eco pastoral system in alpine grassland, contributing not only to the effective implementation of the models but also to the enhancement of the revenue structure.

We aimed to develop and analyze the effectiveness of a “Room of Errors” simulation program for educating nursing students in patient safety management. Methods: This study used a quasi-experimental method (two group, before and after evaluation) and enrolled 35 nursing students as the participants. Data were collected using a self-reported questionnaire and analyzed through descriptive statistics and the independent t-test and Mann-Whitney U test using SPSS/WIN Statistics version 25.0. Results: After completing the “Room of Errors” simulation program, the participants’ score of intention and confidence in performance for patient safety management in the experimental group were significantly higher than those in the control group. Conclusion: A “Room of Errors” simulation education program for nursing students effectively increased the intention and confidence in performance of nursing students in patient safety management.

The purpose of this study was to determine the effect of simulation-based Korea advanced life support training on new nurses' knowledge, clinical performance ability, performer confidence, and learning satisfaction. Methods: This is a non-equivalent controlled pre-post quasi-experimental study. A simulation-based CPR training program was applied to 37 new nurses. Results: The experimental group scored lower on emergency management knowledge (83.65±7.61) than the control group (84.55±9.22), which was not significant (t=-4.46, p=.657). However, the clinical performance ability score was significantly higher in the experimental group (109.59±9.98) than in the control group (100.24±11.87) (t=3.581, p <.001). Performer confidence was significantly higher in the experimental group (23.43±3.29) than in the control group (19.90±3.85) (t=3.69, p〈.001). In addition, the learning satisfaction score of the experimental group (96.16±5.64) was significantly higher than the control group (88.42±11.13) (t=3.72, p< .001). Conclusion: This study confirmed that simulation training is an efficient way to improve new nurses' clinical performance ability, and performer confidence. Therefore, applying simulation training in scenarios can improve new nurses' work competence and contribute to improving the quality of patient care.

The deep geological repository for high-level radioactive waste requires careful consideration due to its exceptionally long-term implications, making long-term impact assessments essential. However, evaluating the long-term effects of deep geological repositories using performance assessment models is accompanied by various sources of uncertainty, including uncertainties about the future, model uncertainties, and uncertainties associated with input data. These multifaceted uncertainties arise from factors such as a lack of current knowledge, contributing to a complex web of unpredictability. Managing, mitigating, and ultimately eliminating these uncertainties is crucial for ensuring the performance and safety of deep geological repositories. Currently, the Korea Radioactive Waste Agency (KORAD) is developing a complex behavior model that incorporates Thermal-Hydraulic-Mechanical-Chemical (THMC) phenomena within the disposal system using PFLOTRAN. To address model uncertainties and furthermore input data uncertainties for this intricate model, an automated sensitivity analysis system has been developed. This automated system operates without human intervention, facilitating tasks such as automatic parameter adjustments and the quantification of uncertainties. Furthermore, this system aids in identifying key factors characterized by substantial uncertainties. Through this system, it is possible to examine concentration distributions in each components of the deep disposal facility in response to changes in input data and to identify factors with significant uncertainties. The sensitivity results and key uncertainty factors obtained through this system are intended to be used for optimizing uncertainties in future research and development.

The radionuclide management process is a conditioning technology to reduce the burden of spent fuel management, and refers to a process that can separate and recover radionuclides having similar properties from spent fuels. In particular, through the radionuclide management process, high heat- emitting, high mobility, and high toxicity radionuclides, which have a significant impact on the performance of disposal system, are separated and managed. The performance of disposal system is closely related to properties (decay heat and radioactivity) of radioactive wastes from the radionuclide management process, and the properties are directly linked to the radionuclide separation ratio that determines the composition of radionuclides in waste flow. The Korea Atomic Energy Research Institute have derived process flow diagrams for six candidates for the radionuclide management process, weighing on feasibility among various process options that can be considered. In addition, the GoldSim model has been established to calculate the mass and properties of waste from each unit process of the radionuclides management process and to observe their time variations. In this study, the candidates for the radionuclide management process are evaluated based on the waste mass and properties by using the GoldSim model, and sensitivity analysis changing the separation ratio are performed. And the effect of changes in the separation ratio for highly sensitive radionuclides on waste management strategy is analyzed. In particular, the separation ratio for high heat-emitting radionuclides determines the period of long-term decay storage.

본 연구의 목적은 헤어미용전문가의 자기관리가 직무성과 및 미용지속의도에 미치는 영향에 서 자기효능감의 매개검증에 관한 연구이다. 연구대상자는 서울․ 경기지역 헤어미용전문가로 재직하고 있는 미용전문가를 대상으로256명 설문조사하여 분석에 사용하였다. 분석방법은SPSS 28.0, AMOS 28.0 통계 패키지 프로그램을 이용하였고, 수집된 자료의 정규성 검증을 실시하여 평균, 표준편차, 첨도, 왜도 의 기술통계, 확인적 요인분석과 신뢰도분석, 상관관계, 매개효과 분석은 부트스트레핑 기법을 이용하여 분석하였다. 연구의 결과는 헤어미용전문가의 자기관리가 자기효능감, 직무성과, 미용지속의도에 유의한 정의(+)영향을 미쳤다. 헤어미용전문가의 자기효능감이 직무성과, 미용지속의도에 유의한 (+)영향을 미 쳤다. 헤어미용전문가의 자기관리와 직무성과의 관계에서 자기효능감의 매개효과가 있는 것으로 확인 되 었다. 통계적 유의 수준은 p<.05수준으로 설정하여 분석하였다.

PURPOSES : The purpose of this study was to improve the performance of concrete pavements by decreasing measurement deviations using an Internet of Things (IoT)-based air content measurement device. METHODS : We calculated the properties of concrete which varied according to the air content. For a low measurement deviation, the concrete pavement performed according to the design standard. To confirm the difference in the performance of the concrete pavement for various air contents, we verified the change in the relative dynamic modulus according to the number of freeze–thaw cycles for each value of the air content. In addition, we analyzed the number of durability cracks according to the freeze–thaw cycles in the field. RESULTS : We confirmed that IoT-based measurement equipment improved the performance of pavements without changing their mixing designs or specifications. We confirmed that the performance of concrete pavements changed even with variations in air content within the range of quality standards. Using IoT-based air content management, we confirmed the reduction in concrete pavement durability cracks without changing the mixing design. CONCLUSIONS : We confirmed that IoT-based air-content management improved pavement performance. The feasibility of extending this concept to manage other concrete properties such as the chloride content should be acknowledged. Future research will require laboratory tests to understand the variation in concrete properties with varying air contents and to consider diverse load conditions.

Recently, as ESG management has become an important issue, major companies in the automotive parts manufacturing industry are conducting ESG evaluations of their suppliers for the purpose of supply chain management. The results of these evaluations are being incorporated into contractual agreements. However, many small and medium-sized enterprises(SMEs) are lacking in their capacity and resources to effectively respond to ESG evaluations. Furthermore, existing ESG management guidelines do not provide an industry-specific guidance, making it necessary to establish industry-specific guidelines that SMEs can refer to. Therefore, in this study, the evaluation Indicators of ESG supply chain assessments are surveyed, which is conducted by domestic major automotive parts companies and global automobile manufacturers. Then 56 supply chain ESG evaluation Indicators are derived. Also, ESG management indicators for SMEs is analyzed through the Importance-Performance Analysis(IPA), based on an interview of expert groups. Therefore, this study could propose industry-specific ESG guidelines, based on the results of the derived indicators, which reflects the need for SMEs to practice ESG management within certain boundaries.

Technology innovation companies are focusing on contributing to business performance by R&D project as a strategic tool. Successful R&D leads to corporate competitiveness enhancement, national industrial development, but there are high uncertainty and risks in R&D. Public and private R&D projects are carried out to achieve various purposes. It was verified how the risk management and benefit management of the R&D project affect the detailed R&D project performance between the Public and private domain. The impact of Project Leadership on R&D performance was also analyzed. Those who have participated in the Public and Private R&D projects at companies or research institutes were surveyed. First, it was found that project risk and benefit management have partially an effect on R&D project performance. Second, Public and private R&D Project Leadership showed partially a interaction effect between project management and project performance.

PURPOSES : The purpose of this study was to improve the performance of concrete pavements by measuring the unit-water content with an Internet-of-Things (IoT)-based unit-water content measurement device at an increased precision compared with that of existing measuring equipment. METHODS : We calculated the properties of concrete that varied according to variations in the unit-water content. To confirm the change in the performance of concrete pavements, we compared and analyzed the fatigue cracking rate and international roughness index of concrete pavements at the 20-year point of public use according to the changes in properties using the Korea Pavement Research Program(KPRP). RESULTS : We confirmed that IoT-based measurement equipment can improve the performance of pavements without changing their mixing designs or specifications. We confirmed that the performance of the concrete pavements changed significantly, even with unit-water content variations within the range of quality standards. According to IoT-based unit-water content management, we confirmed that the performance of the concrete pavement (fatigue cracking rate and international roughness index) improved without changing the mixing design. CONCLUSIONS : We confirmed that by using IoT-based unit-water content management, pavement performance can be improved. It is necessary to consider whether the application of this concept to other concrete property management items, such as the chloride content, is possible. Considering the changes in concrete properties according to the unit-water content based on laboratory tests and considerations of various load conditions will be necessary for future research.

Korea Atomic Energy Research Institute is developing a radionuclide management processes as a conditioning technology to reduce the burden of spent fuel disposal. The radionuclide management process refers to a process managing radionuclides with similar properties by introducing various technology options that can separate and recover radionuclides from spent fuels. In particular, it is a process aimed at increasing disposal efficiency by managing high-heat, high-mobility, and high-toxic radionuclides that can greatly affect the performance of the disposal system. Since the radionuclide management process seeks to consider various technology options for each unit process, it may have several process flows rather than have a single process flow. Describing the various process flows as a single flow network model is called the superstructure model. In this study, we intend to develop a superstructure model for the radionuclide management process and use it as a model to select the optimal process flow. To find the optimal process flow, an objective function must be defined, and at the fuel cycle system level multiple objectives such as effectiveness (disposal area), safety (explosure dose), and economics (cost) can be considered. Before performing the system-level optimization, it is necessary to select candidates of process flow in consideration of waste properties and process efficiency at the process level. In this study, a sensitivity analysis is conducted to analyze changes in waste properties such as decay heat and radioactivity when the separation ratio varies due to the performance change for each unit process of the radionuclide management process. Through this analysis, it is possible to derive a performance range that can have waste properties suitable for following waste treatment, especially waste form manufacturing. It is also possible to analyze the effect of waste properties that vary according to the performance change on waste storage and management approaches.

With the introduction and implementation of the National Research and Development Innovation Act in 2021, researchers are required to have a greater understanding of research ethics and to comply more strictly. The range of misconduct in research and the standards for sanctions have been expanded with the introduction of the National Research and Development Innovation Act. In addition, researchperforming institutions and specialized agencies have been obligated to establish their own research management systems and standards according to the changed criteria. The Korea Institute of Nuclear Nonproliferation and Control (KINAC), a nuclear regulatory authority that is conducting national R&D in related fields, has sought to strengthen research ethics by revising related regulations, introducing a plagiarism detection system, and expanding related education in accordance with these policies. In this study, we analyzed the effectiveness of the plagiarism detection system as a basic quality control measure for research results and a tool for enhancing research ethics, which was introduced. KINAC did not simply introduce a plagiarism detection program but established institutional improvements and other regulatory measures to support it, with the aim of more effectively managing research results. To analyze the effectiveness of this system, we calculated the plagiarism rate by sampling 30 papers each year for the three years before the introduction of the plagiarism detection system. When comparing the plagiarism rates before and after the introduction of the plagiarism detection system, no exceptional cases of high plagiarism rates were found in papers published after the introduction of the system. Although most of the papers before the introduction of the system showed a satisfactory plagiarism rate, some cases showed high plagiarism rates. We analyzed the cause of such cases in detail. Some exceptional cases were also found to be included in the range of misconduct regulated by the National Research and Development Innovation Act. As no such cases were found after the introduction of the system, we could infer that the system is effectively functioning as a tool for basic quality control and enhancing research ethics. In the future, we plan to expand the sample qualitatively and quantitatively by including other forms of outcomes published by the institution, not just papers, and conduct a more detailed analysis. Based on the results, we will develop various improvement plans for enhancing the quality and research ethics of the institution’s research results.

The successful implementation of green supply chain management(GSCM) practices requires a level of cooperation that can be difficult to conduct. Despite this challenge, limited scholarly attention has been paid to exploring how the implementation of GSCM practices can be effectively facilitated and enhanced through accumulated social capital with suppliers. Based on social capital theory, this study postulates that supplier network characteristics derived from social capital with key suppliers can be critical antecedents of GSCM, which in turn enhances the firm’s environmental performance. To test hypotheses, data were collected from 330 firms in 15 countries, and structural equation modeling was employed. Results show that GSCM improves environmental performance, and structural and cognitive social capitals of the supplier network act as antecedents and lead to GSCM implementation.

Most of the prior studies on the servitization of manufacturing companies have been actively studied, focusing on the performance and cases of servitization at the single company level. According to the results, most of the servitization at the single company level has been expanded based on the relevance of the company’s core products. However, the form of companies that form a large axis of the Korean economy is a large-scale business group, and these business groups incorporate service affiliates for various purposes, so they show different characteristics from that of a single corporate. In addition, since the purpose of forming a business group is different for each business group, the service relevance between affiliates within the business group is different. Therefore, this study aims to examine the effect of service relevance between affiliates within a business group on the management performance of each business group. To this end, an empirical analysis will be conducted using panel data for 10 years from 2011 to 2020 for a total of 98 affiliates listed on KOSPI and KOSDAQ of 9 domestic business groups. Based on these results, the direction for improving management performance and establishing future servitization strategies for large business groups in Korea will be expected to be made.