• Title/Summary/Keyword: resource analysis

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The Impact of Human Resource Management Activities on the Compatibility and Work Results

  • NGUYEN, Duc Trung;HA, Van Dung;DANG, Truong Thanh Nhan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.621-629
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    • 2020
  • This research focuses on determining the impact of human resource management activities on the compatibility and work results of employees of Ho Chi Minh Stock Exchange (HOSE) listed companies. The paper includes five parts: introduction, literature review, research methodology, research results, and conclusion and policy implications. The data are collected from the survey of 350 listed companies in HOSE, in which 315 survey notes filled with sufficient information are used for analysis. The paper employs both qualitative method and quantitative method. Group discussion of 10 experts is for qualitative research. Quantitative method performs analysis of Statistics, Cronbach's Alpha, EFA analysis, CFA analysis and SEM model. The results of the research clearly indicate that human resource management (HRM) activities are measured through improving the ability, improving the motivation and improving the opportunity. While compatibility is measured through suitability, connection and sacrifice; whereby HRM activities of ability improvement have a positive effect on the job suitability and connection; HRM activities of motivation improvement have a positive effect on the job suitability, connection and sacrifice; and HRM activities of opportunity improvement have a positive effect on the job suitability, sacrifice and connection; Finally, the job suitability, sacrifice and connection positively affect the work results of employees.

A Study on The Causal Relationships Between The International Model of ICT Using The National Quality Award Model (국가품질상 모델을 적용한 ICT산업의 인과 관계 분석 연구)

  • Shin, Dongkeun;Hwang, Changyu
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.1
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    • pp.87-101
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    • 2018
  • The purpose of this study is to develop the measuring instruments for evaluation criteria for Malcolm Baldrige National Quality Award(MBNQA), suitable for ICT Industries, and to analyze the cause-effect relationship between those criteria through aforementioned instruments. MBNQA is formed with seven categories: Leadership, Strategic planning, Focus on patients, other customers and markets, Measurement, analysis and knowledge management, Human resource focus, Process management and Results. As excluding the Human Resource Focus category, this study empirically examined the cause-effect relationship among six categories. In order to empirically examine the research model, this study calculated Cronbach's alpha and reliability index, thus examined the reliability and executed Exploratory Factor Analysis. Furthermore, Average Variance Extracted(AVE) is used to verify the discriminant validity. Lastly, the hypothesis testing was made complete through significance test on the paths between variables. The result of this study shows that both leadership and social responsibility have direct cause-effect relationship with Measurement, analysis and knowledge management, Human resource focus, Process management and also that this relationship has direct impact on Human resource focus, Measurement, analysis and knowledge management as well, consequently exerting influence on the result through Process management, Finance and Market data.

PCIA Cloud Service Modeling and Performance Analysis of Physical & Logical Resource Provisioning (PCIA 클라우드 서비스 모델링 및 자원 구성에 따른 성능 영향도 분석)

  • Yin, Binfeng;Kwak, Jong Wook
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.2
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    • pp.1-10
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    • 2014
  • Cloud computing provides flexible and efficient mass data analysis platform. In this paper, we define a new resource provisioning architecture in the public cloud, named PCIA. In addition, we provide a service model of PCIA and its new naming scheme. Our model selects the proper number of physical or virtual resources based on the requirements of clients. By the analysis of performance variation in the PCIA, we evaluate the relationship between performance variation and resource provisioning, and we present key standards for cloud system constructions, which can be an important resource provisioning criteria for both cloud service providers and clients.

The Resource-Saving Behavior of Children's stage (아동기의 자원 절약행동에 관한 연구)

  • Kye, Sun-Ja
    • Journal of Family Resource Management and Policy Review
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    • v.16 no.3
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    • pp.21-33
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    • 2012
  • This study examines the level of resource-saving behavior among children and attempts to identify the variables-among socio-demographic, socio-environmental, and consumer attitude variables-that are most influential on this behavior. The research was conducted in 2010, following a preliminary study, and the data was garnered from 500 questionnaires that were distributed to elementary students in Seoul. The data were analyzed using a number of statistical methods, including frequencies, percentiles, means, standard deviation, Cronbach's coefficient, ANOVA, and hierarchical multiple linear regression analysis, using SPSS 18.0. The major findings of this study were as follows. First, the average level of resource-saving behavior of children was found to be 3.6 out of 5, indicating relatively rational behavior. Second, the variables that were found to have the greatest influence on children's resource-saving behavior were lower allowance, higher levels of education on the role of consumption, and more active socialization in childhood. Therefore, these variables should be taken into account when teaching children how to establish resource-saving behavior in their daily living.

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A Real Business Cycle Model to Study the Effect of Overseas Oil Resource Development on the Korean Economy (실물경기변동 모형을 이용한 해외석유가스 개발사업의 경제적 효과분석)

  • Park, Hojeong;Kim, Jaekyung
    • Environmental and Resource Economics Review
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    • v.25 no.2
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    • pp.179-197
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    • 2016
  • The development of overseas resource is a driving force to secure the energy security in Korea with low sufficiency rate of energy. This paper analyzes the effect of overseas oil resource development on the economy by presenting a real business cycle model with consolidated energy price index. A linear-quadratic dynamic programming is adopted to raise computational transparency and efficiency. The analysis shows that the overseas oil resource development project during 2010 and 2012 decreases the energy price by 1.2% per annum which effect is equivalent to the positive 0.47% to the GDP. The implication calls for steady and robust support for overseas resource development projects to enhance energy resilience.

Analysis of Global Trends on Resource Productivity and Its Promotion Strategy (자원생산성의 국내외 추이 분석 및 관리 방안)

  • Kang, Hong-Yoon
    • Resources Recycling
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    • v.29 no.3
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    • pp.24-35
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    • 2020
  • Management of resource productivity is important for the reduction of natural resources and energy consumption. This is closely linked to circular economy which has recently been stressed worldwidely. Resource productivity is a key indicator which is to be managed in various industry sectors. Especially Korea which is heavily dependent on the natural resources import from overseas needs to give attention to this point. Nevertheless resource productivity related domestic researches and policies are extremely rare. This paper thus presents trends on resources productivities and their management policies of European countries and OECD G7 countries compared to the situation of Korea. In addition, the decoupling phenomenon of DMC (domestic material consumption) and GDP of Europe is analyzed and the resource productivity promotion strategy of Korea is proposed.

Resource-constrained Scheduling at Different Project Sizes

  • Lazari, Vasiliki;Chassiakos, Athanasios;Karatzas, Stylianos
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.196-203
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    • 2022
  • The resource constrained scheduling problem (RCSP) constitutes one of the most challenging problems in Project Management, as it combines multiple parameters, contradicting objectives (project completion within certain deadlines, resource allocation within resource availability margins and with reduced fluctuations), strict constraints (precedence constraints between activities), while its complexity grows with the increase in the number of activities being executed. Due to the large solution space size, this work investigates the application of Genetic Algorithms to approximate the optimal resource alolocation and obtain optimal trade-offs between different project goals. This analysis uses the cost of exceeding the daily resource availability, the cost from the day-by-day resource movement in and out of the site and the cost for using resources day-by-day, to form the objective cost function. The model is applied in different case studies: 1 project consisting of 10 activities, 4 repetitive projects consisting of 40 activities in total and 16 repetitive projects consisting of 160 activities in total, in order to evaluate the effectiveness of the algorithm in different-size solution spaces and under alternative optimization criteria by examining the quality of the solution and the required computational time. The case studies 2 & 3 have been developed by building upon the recurrence of the unit/sub-project (10 activities), meaning that the initial problem is multiplied four and sixteen times respectively. The evaluation results indicate that the proposed model can efficiently provide reliable solutions with respect to the individual goals assigned in every case study regardless of the project scale.

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Wind Resource Assessment of the Antarctic King Sejong Station by Computational Flow Analysis (남극 세종기지의 전산유동해석에 의한 풍력자원평가)

  • Kim, Seok-Woo;Kim, Hyun-Goo
    • Journal of the Korean Solar Energy Society
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    • v.27 no.3
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    • pp.29-35
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    • 2007
  • In accordance with Madrid and Kyoto Protocols, a 10kw wind turbine installed about 625m away from the King Sejong Station in the Antarctica has been in operation successfully. The current location of the wind turbine has different geographic surroundings from the previous candidate site considered in 2005 and that makes re-evaluation of wind resource at the current site including geographic effects necessary. Especially, strong wind flow derived by steep and complex terrain is dominant in the Antarctica so that computational flow analysis is required. The wind rose measured at the previous and current installation location are identical with strong meteorological correlation but prevailing directions of wind power density are different because of local wind acceleration due to complex terrain. Numerical analysis explains which effects brings this discordance between the two sites, and a design guideline required for additional wind turbine installation has been secured.

Analysis of Resource Assignment for Directional Multihop Communications in mm-Wave WPANs

  • Kim, Meejoung;Hong, Seung-Eun;Kim, Yongsun;Kim, Jinkyeong
    • ETRI Journal
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    • v.35 no.1
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    • pp.120-130
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    • 2013
  • This paper presents an analysis of resource assignment for multihop communications in millimeter-wave (mm-wave) wireless personal area networks. The purpose of this paper is to figure out the effect of using directional antennas and relaying devices (DEVs) in communications. The analysis is performed based on a grouping algorithm, categorization of the flows, and the relaying DEV selection policy. Three schemes are compared: direct and relaying concurrent transmission (DRCT), direct concurrent transmission (DCT), and direct nonconcurrent transmission (DNCT). Numerical results show that DRCT is better than DCT and DCT is better than DNCT for any antenna beamwidths under the proposed algorithm and policy. The results also show that using relaying DEVs increases the throughput up to 30% and that there is an optimal beamwidth that maximizes spatial reuse and depends on parameters such as the number of flows in the networks. This analysis can provide guidelines for improving the performance of mm-wave band communications with relaying DEVs.

Wind Resource Assessment of the Antarctic King Sejong Station by Computational Flow Analysis (남극 세종기지의 전산유동해석에 의한 풍력자원평가)

  • Kim, Seok-Woo;Kim, Hyun-Goo
    • 한국신재생에너지학회:학술대회논문집
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    • 2007.11a
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    • pp.376-377
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    • 2007
  • In accordance with Madrid and Kyoto Protocols, a 10kW wind turbine installed about 625m away from the King Sejong Station in the Antarctica has been in operation successfully. The current location of the wind turbine has different geographic surroundings from the previous candidate site considered in 2005 and that makes re-evaluation of wind resource at the current site including geographic effects necessary. Especially, strong wind flow derived by steep and complex terrain is dominant in the Antarctica so that computational flow analysis is required. The wind rose measured at the previous and current installation location are identical with strong meteorological correlation but prevailing directions of wind power density are different because of local wind acceleration due to complex terrain. Numerical analysis explains which effects brings this discordance between the two sites, and a design guideline required for additional wind turbine installation has been secured.

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