• Journal of Korean Academy of Nursing Administration
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• v.11 no.4
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• pp.385-399
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• 2005

Objective: The objective was to extract a preliminary performance measurement indicators of nursing organizations in hospitals using the BSC(Balanced Score Card) developed by Kaplan and Norton, and to analyze the content validity and evaluation methods of the performance measurement indicators with actual nurses in the nursing organization as participants in the study. Methods: The preliminary performance measurement indicators was created through a literature review and had the content validity by a professional. This survey was sent via post to 316 nurse managers and nurses with more than 5 years of experience in seven secondary and tertiary hospitals in the Seoul Gyonggi district. The completed questionnaires were returned by mail. Results: Fourteen indicators for finances, 16 for customer services, 27 for internal business processes, and 13 for learning and growth were selected. Conclusion: Amidst a rapidly changing medical environment, a first step was taken towards developing a performance measurement from various perspectives for nursing organizations in hospitals from various perspectives, rather than just one or a past-oriented perspective. However, as the most important thing is to actually use these indicators, continuous interest in publicity and education must be developed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.495-507
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• 2020

The paper examines the determinants of employee engagement in the not-for-profit organization (NFPO) sector. A structured questionnaire survey of 205 NFPO employees in Vietnam was employed, preceded by in-depth interviews with NFPO associates and managers. After a multiple regression analysis to study the impact of five independent variables on one dependent variable, the study reveals that Work design and Work-life balance are positively and significantly associated with employee engagement. Of which, Work design is measured by the level of job fit, job autonomy, job challenge, and job meaningfulness. On the other hand, Work-life balance involves measurement aspects consisting of how reasonable the workload is and organizational support. Meanwhile, different from the business world, Leadership, Learning and Development, and Recognition do not show statistically positive impacts on employee engagement in NFPOs. Still, they are crucial back-supporting factors to ensure employee experience at work. Further, the study finds that personal growth contributes a great part to keep employees in the sector motivated. This paper brings the area of study to the forefront in an effort to benefit the practice of human resources management in NFPOs as well as support employees in the sector with a higher quality working experience.

• Journal of the Korea Safety Management & Science
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• v.10 no.1
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• pp.107-116
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• 2008

Nowadays, BSC presented by alpan is observed by many enterprises and is being operated gradually. BSC includes non-financial factor as well as financial factor in performance assessment and it is a tool that will be able to evaluate even strategy of long-term view. In point of performance management, BSC brings in relief importance on non-financial performance as well as financial performance and it shares with viewpoint of 4 things of financial viewpoint, customer viewpoint, internal process view point, learning and growth viewpoint. then these make an array with vision and strategy of organization by causal relationship, it presented necessity of performance control on organization as center on KPI of inner of each viewpoint. Thus, study on measures and control of management performance is progressed actively and is accomplishing much development. This study is aimed at calculation of weight that is able to reflect its importance about AHP on KPI of each viewpoint. The purpose of this study is to present desirable performance measurement model and to give a weight in consideration of working-level character.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.79-88
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• 2015

The safety culture of an organization is the product of individual and group values, attitudes, perceptions, competencies, and patterns of behavior that determine the commitment, the style and proficiency, and an organization's health and safety management. A good safety culture includes effective, appropriate safety management systems; strong safety leadership & commitment from management; participation and involvement of the workforce; and organizational learning and continuous improvement. This paper will introduce the safety culture inspection standards and process in Korea Railway. The main purpose is to get a better understanding of safety culture and to develop measuring tool. First of all we developed the composition factor of safety culture and the question set. And we prepared the base of computerization of safety culture measurement by developing of evaluation standards and weighted value.

• Journal of Elementary Mathematics Education in Korea
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• v.22 no.4
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• pp.497-516
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• 2018

The purpose of this study is to compare the process of mathematical modeling in mathematical modeling class according to group organization, and to investigate whether it shows improvement in mathematical reasoning ability. A total of 24 classes with 3 mathematical modeling activities were designed to investigate the research problem. The result of this study showed that the heterogeneous groups performed better than the homogeneous groups in terms of both the performance ability of mathematical modeling and mathematical reasoning ability. This study implies that, with respect to group design for applying mathematical modeling in teaching mathematics, heterogeneous group design would be more efficient than homogeneous group design.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.52-57
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• 2021

Most internet companies in China are learning from Xiaomi Corporation's management model and to improving their organizational structures and human resource management practices. This study analyzed the development situation of Chinese Internet economy and the Internet thinking of Xiaomi which is a role model of Chinese Internet companies. In addition, we studied Xiaomi's organizational structure, human resource management, employee training, performance management and incentive system. In particular, Xiaomi's human resource management system has a great influence on the company's high performance and efficient service culture. Furthermore, the organization of Xiaomi is horizontally divided into three floors (7 key founders, department heads, and employees), each floor is managed by one founder. Xiaomi is interested in and considers not only the work of new employees, but also personal issues, and is concerned with the work of others in performance management and shares responsibility. Xiaomi adopts a unique and rational human resource management model, guaranteeing a lot of work autonomy for employees, and improving organizational performance.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.225-237
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• 2022

The term "artificial intelligence" is considered a component of sophisticated technological developments, and several intelligent tools have been developed to assist organizations and entrepreneurs in making business decisions. Artificial intelligence (AI) is defined as the concept of transforming inanimate objects into intelligent beings that can reason in the same way that humans do. Computer systems can imitate a variety of human intelligence activities, including learning, reasoning, problem-solving, speech recognition, and planning. This study's objective is to provide responses to the questions: Which factors should be taken into account while deciding whether or not to use AI applications? What role do these elements have in AI application adoption? However, this study proposes a framework to explore the significance and relation of success factors to AI adoption based on the technology-organization-environment model. Ten critical factors related to AI adoption are identified. The framework is empirically tested with data collected by mail surveying organizations in Vietnam. Structural Equation Modeling is applied to analyze the data. The results indicate that Technical compatibility, Relative advantage, Technical complexity, Technical capability, Managerial capability, Organizational readiness, Government involvement, Market uncertainty, and Vendor partnership are significantly related to AI applications adoption.

• Journal of The Korean Association For Science Education
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• v.28 no.7
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• pp.697-712
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• 2008

The purpose of this study was to seek strengths and weaknesses from analyzing Korea and U.S. science textbooks in terms of general structural features, contents, cognitive levels of questions and the purpose of questions used in science textbooks. This provided insight into improvement of textbooks that can effectively assist teaching and learning. To investigate organization of unit in textbooks in-depth, the evolution unit was selected and scrutinized as one example. The results showed that the number of pages, activities, vocabulary words, and vocabulary lists are considerably different between Korean and the U.S. Commonly, U.S. textbooks were more laden with information and lacking in coherence than those of the Korean textbooks. The findings on the cognitive levels of questions showed that the majority of questions in both nations are concerned with knowledge. However, the difference between the two nations is great in the ratios of analysis, synthesis, and evaluation questions. Questions are concentrated in review section (45% of Korean and 60.6% of U.S.) in textbooks. It suggested that well-planned questions in a review section can provide the basic guidance for strength in a science classroom.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.99-110
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• 2020

This study deals with the relationship between entrepreneurship of corporate member and creativity at the organizational level by empirically analyzing the relationship between entrepreneurship, organizational learning orientation, individual creativity, and group creativity. In particular, the relationship between entrepreneurship and creativity focuses on analyzing the mediating effects of organizational learning orientation. Based on the literature research, the research model and hypothesis were established by explaining the relationship between entrepreneurship, individual and group creativity, and organizational learning orientation. 308 copies of the questionnaire were distributed and collected for manufacturing workers in Gyeongbuk, and empirical analysis was conducted through structural equations. As a result, it was confirmed that entrepreneurship has an influence on organizational learning orientation without directly affecting individual and group creativity. In addition, the effects of entrepreneurship on organizational learning orientation and organizational learning orientation on individual and group creativity were examined. These findings can provide Directions for organizational management from the cultural perspective by identifying the effects of entrepreneurship and organizational learning orientation at the organizational level.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.37-64
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• 2022

As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.