• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.1003-1012
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• 2021

This study aims to identify the relationship between human resource management practices, work engagement, and proactive behavior of health workers in Gia Lai Province in Vietnam. Based on theoretical frameworks of human resource management, work engagement, and proactive behavior, this study developed a research model and tested its relationship between human resource management practices, work engagement, and the proactive behavior of healthcare workers in Gia Lai Province. This research has used a mixed research method with qualitative and quantitative research. The quantitative research was conducted by survey with 232 health workers. The hypotheses were tested by using structural equation modeling (SEM). The findings showed that human resource management practices have a positive and significant influence on proactive behavior, which directly influences healthcare workers' work engagement. Besides, work engagement plays a role in mediating the influence of human resource management practices on proactive behavior. This research implies that health care organizations should pay more attention to human resource management practices to improve work engagement that assists in increasing employee proactive behavior. Efficient human resource management practices help boost work engagement and, initiality, improve the quality of health care services and minimize errors in treatments.

• Resources Recycling
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• v.24 no.2
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• pp.69-78
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• 2015

Recently, the importance of efficient resource management has been highlighted due to the uncertainty of its security. Developed countries promote the legislative provision and transition of industrial structure to maximize the efficiency of resource use through supporting the sustainable resource management at national level. Meanwhile Korea has very sensitive industrial structure along with the international resource supply and demand conditions. It is acutely necessary to improve the resource productivity with the various action plans such as the increase of recycling rate and the establishment of methodical resource management system. Especially, the study on the direction of each flow stage and the concrete action plans for using resource efficiently in the life-cycle of resource will be required. Therefore, this study suggests the future direction of each flow stage(production stage and circulatory stage), and the concrete action plans to improve the present problems of resource management in Korea.

• Journal of Families and Better Life
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• v.10 no.2
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• pp.163-178
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• 1992

This study is focused on causual relationship analysis among the components of family resource management system based on a theory of Deacon and Firebaugh. The system of family resource management is consisted for the component of input like on objective resource and level of resource perception, the component of throughput like a behavior pattern of the family resource management, and the component of output like a degree of the family life satisfaction. The instrument for resource perception level, behavior pattern of family resource management and degree of life satisfaction were developed for this study, and main investigation was executed through 1st and 2nd pre-test. The 800 questionnaire were distributed by cluster sampling to the homemakers in Seoul. The final data used in this study were 703, and analyzed by Cronback's coefficient, factor analysis. frequency. percentage, regression analysis and path analysis, and teated with SAS PC+. Consequently , the findings of this study were accepted hypothesis I, II, II, IV.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.310-328
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• 2022

Internet of things (IoT) has emerged as the most popular technique that facilitates enhancing humans' quality of life. However, most time sensitive IoT applications require quick response time. So, processing these IoT applications in cloud servers may not be effective. Therefore, fog computing has emerged as a promising solution that addresses the problem of managing large data bandwidth requirements of devices and quick response time. This technology has resulted in processing a large amount of data near the data source compared to the cloud. However, efficient management of computing resources involving balancing workload, allocating resources, provisioning resources, and scheduling tasks is one primary consideration for effective computing-based solutions, specifically for time-sensitive applications. This paper provides a comprehensive review of the source management strategies considering resource limitations, heterogeneity, unpredicted traffic in the fog computing environment. It presents recent developments in the resource management field of the fog computing environment. It also presents significant management issues such as resource allocation, resource provisioning, resource scheduling, task offloading, etc. Related studies are compared indifferent mentions to provide promising directions of future research by fellow researchers in the field.

• Journal of the Korea Society for Simulation
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• v.16 no.2
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• pp.1-8
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• 2007

Resource management in grid computing environment is essential for integration and interaction among heterogeneous resources. This paper discusses resource management methods of centralized and decentralized broker-based modeling for solving complex problems of resource management and presents design and development of the decentralized broker-based resource management modeling in grid computing environment. This model comprises a global resource broker and a local resource broker, and we derive reduction of communication and functional dispersion of Job management using a local resource broker. The simulation experiment shows the improvement of resource utilization and average response time and proves that this model improves utilization of resources and replies to user requests promptly.

• International Journal of Contents
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• v.4 no.1
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• pp.1-6
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• 2008

Existing improvement measures for resource management are merely concentrating on the document automation only. In addition, such improvements rarely benefit metal millwork management. Following the trend of constructing high rise and multi-complex buildings, the importance of resource management from the aspect of construction project management is being emphasized. Metal work resources are critical most of construction projects, it became a target for special management. Therefore, the study has determined work process of metal work resource management, for the metal millwork is one of the most important construction materials most of construction projects, and proposed a web based module for improving the management task.

• Journal of Distribution Science
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• v.14 no.5
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• pp.81-89
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• 2016

Purpose - Prior researches have empirically focused on the effect of management consulting quality and consultant capability on entrepreneurial firms' performance. This study, however, focused on investigating the moderating role of absorptive capacity and resource capability between management consulting and entrepreneurial firms' performance. So, this study investigated the relationship among consulting quality, consultant capability, absorptive capacity, resource capability, and entrepreneurial firms' performance from the resource based view (RBV). Especially, this study focused on the mediating role of absorptive and resource capability in relational structure of entrepreneurial firms' dimensions. Research design, data, and methodology - In this study, research hypotheses and model are established by the prior researches from the fields of strategic management and entrepreneurial behavior. Concretely, H1~H4 are the relationship between consulting (consulting quality, consultant capability) and innovation (absorptive capacity, resource capability); H5 is the relationship between absorptive capacity and resource capability; and H6~H7 are the relationship between innovation (absorptive capacity, resource capability) and management performance. The data was collected 207 copies from entrepreneurial firms in South Korea. These firms were established in January 2014 and maintained by November 2015 in high-tech industry. The questionnaire was consisted of five dimensions; consulting quality, consultant capability, absorptive capacity, resource capability, and management performance. Each dimension measured multi items on a 5-point Likert scale. The hypotheses and research model are analyzed using structural equation modeling (SEM) with AMOS 22. Results - The results of this study are as follows. 1) Consulting quality significantly influenced on the absorptive capacity of entrepreneurial firms. 2) But, consultant capability did not influence on the absorptive capacity of entrepreneurial firms. 3) Consulting quality and consultant capability significantly influenced on the resource capability of entrepreneurial firms. 4) Absorptive capacity significantly influenced on the resource capability of entrepreneurial firms; 5) Absorptive capacity did not significantly influence on the management performance of entrepreneurial firms. 6) Resource capability, however, significantly influenced on the management performance of entrepreneurial firms. By these results, absorptive capacity of entrepreneurial firms had a mediating role partly among consulting quality, consultant capability, and management capability. The resource capability of entrepreneurial firms had a mediating role among consulting quality, consultant capability, and management capability, perfectly. Conclusions - According to this study, the high level of consulting quality and consultant capability may enforce the resource capability of entrepreneurial firms. It means, practically, that external knowledge is a driver for innovation, and then the innovation effects on the management performance of entrepreneurial firms. So, at the initial stage, the management consulting programs are very important to entrepreneurial firms and should be conceived as an essential element. This study may contribute to the advancement of academic in field of new start business, small business, or venture business based on resources, especially the role of absorptive capacity and resource capability between consulting programs and management performance. However, this study has some limitations. They are the measurement of consulting quality's items, cross-sectional research, and the limitation of concept and industry.

• Journal of Information Processing Systems
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• v.15 no.5
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• pp.1192-1200
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• 2019

Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

• Journal of the Korean Society for information Management
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• v.29 no.3
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• pp.7-29
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• 2012

In this study, we analyzed the effects of how Human resource management affects the knowledge sharing that facilitates organizational performance. Human resource management has received very little attention in the study of knowledge management. However, main drivers of knowledge activities are individual members of an organization and thus knowledge management strategies should be discussed in relation with human resource management. The results show that human resource management was significantly positively related to knowledge sharing, and the relationship between human resource management and organizational performance was partially mediated by knowledge sharing. Lessons and implications of this study for management leadership are presented.

• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.53-74
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• 2022

Purpose - This study aims to examine the relationship between flexible Human Resource Management (HRM) and individual ambidexterity and the moderating effect of trust in management. Design/methodology/approach - This study collected 971 survey data from employees in Korea. The Confimatory Factor Analysis (CFA) and the multiple regression analysis were used to analyze the data. Findings - First, the flexible human resource management have a positive effect on individual ambidexterity. Second, trust in management positively moderate the relationship between flexible human resource management and individual ambidexterity. Research implications or Originality - First, this study is critical that it examines individual ambidexterity and antecedent factor, which have not been relatively researched in Korea. This study is meaningful in that it revealed that the individual ambidexterity can be increased through flexible human resource management. Second, individual ambidexterity may vary depending on the characteristics of the human resource management system. Third, it is important to find the boundary condition of trust in management. By finding conditions that enhance the effect of flexible human resource management on individual ambidexterity, it also provides practical implications applicable to companies.