• Title/Summary/Keyword: Information resource management

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An Empirical Study on the 3PL Human Resource Management of International Logistics Network Integration (국제물류통합에서의 3PL 인적자원관리에 관한 실증연구)

  • Lee, Ki-Woong;Lee, Moon-Kyu;Lee, Myoung-Bae
    • International Commerce and Information Review
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    • v.12 no.1
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    • pp.327-352
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    • 2010
  • 3PL is the alternative for the corporation seeking to increase its logistics efficiency and effective implement of organization development. This study is to establish effective management method of the logistics companies and suggest further research direction by looking through theoretical background, applications, organization knowledge, international and domestic condition and problems of the 3PL which concludes to policy making. This study suggests corporation’s policy on technology oriented, management participation and knowledge on organization is used to secure competitive edge on logistics service. Close cooperation between departments is needed to acquire technology oriented information from 3PL human resource pool.

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Identification of factors of Hard and Soft Human Resource Management Practices

  • Goyal, Charu;Patwardhan, Manoj
    • Journal of Information Technology Applications and Management
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    • v.27 no.6
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    • pp.75-87
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    • 2020
  • The Human Resource (HR) system comprises of various interrelated HR practices that forms the bundles. These bundles of Human Resource practices impact the organizational performance. The hard and soft HR bundles are the two sets of the same continuum that describes the strategic approach of the HR system. The purpose of this study is to identify the hard and soft HRM practices from the literature and then empirically test them with the help of factor analysis. The study is conducted on the service industry employees in India. The survey includes the employees from the middle and top-level executives of the service firms. The sample size for the study is 160. Principal component analysis with VARIMAX rotation and Confirmatory Factor Analysis was used to obtain the results. The data analysis was done on SPSS V.20 and AMOS V.22. The results provide knowledge of the HR practices under the hard and soft HRM bundles implemented in the service industry.

Hierarchical Resource Management Framework and Multi-hop Task Scheduling Decision for Resource-Constrained VEC Networks

  • Hu, Xi;Zhao, Yicheng;Huang, Yang;Zhu, Chen;Yao, Jun;Fang, Nana
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.11
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    • pp.3638-3657
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    • 2022
  • In urban vehicular edge computing (VEC) environments, one edge server always serves many task requests in its coverage which results in the resource-constrained problem. To resolve the problem and improve system utilization, we first design a general hierarchical resource management framework based on typical VEC network structures. Following the framework, a specific interacting protocol is also designed for our decision algorithm. Secondly, a greedy bidding-based multi-hop task scheduling decision algorithm is proposed to realize effective task scheduling in resource-constrained VEC environments. In this algorithm, the goal of maximizing system utility is modeled as an optimization problem with the constraints of task deadlines and available computing resources. Then, an auction mechanism named greedy bidding is used to match task requests to edge servers in the case of multiple hops to maximize the system utility. Simulation results show that our proposal can maximize the number of tasks served in resource constrained VEC networks and improve the system utility.

An exploratory study of e-business systems implementation in Korean small business as a resource based perspectives (자원역량 관점에서 중소기업의 e-비즈니스 구현 영향요인에 관한 탐색적 연구)

  • Yoon, Jung-Hyeon
    • Management & Information Systems Review
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    • v.24
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    • pp.25-44
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    • 2008
  • Small business have very different characteristics from large business; notable, small business suffer from resource and capacity poverty. Without knowing the relative importance of limited resources and capacity in small business, it have limited practical contribution to e-business implementation success. This paper develops an exploratory resource-based model of e-business implementation for small business with 42 sample companies. The results show that three types of resource factors; IS/IT vender supports, the level of IS/IT knowledge, and financial support. The implication for research is that the resource-based view of the firm and the test an exploratory framework of resource factors are useful theories to ground future work on e-business implementation in small business.

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An Engine for DRA in Container Orchestration Using Machine Learning

  • Gun-Woo Kim;Seo-Yeon Gu;Seok-Jae Moon;Byung-Joon Park
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.126-133
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    • 2023
  • Recent advancements in cloud service virtualization technologies have witnessed a shift from a Virtual Machine-centric approach to a container-centric paradigm, offering advantages such as faster deployment and enhanced portability. Container orchestration has emerged as a key technology for efficient management and scheduling of these containers. However, with the increasing complexity and diversity of heterogeneous workloads and service types, resource scheduling has become a challenging task. Various research endeavors are underway to address the challenges posed by diverse workloads and services. Yet, a systematic approach to container orchestration for effective cloud management has not been clearly defined. This paper proposes the DRA-Engine (Dynamic Resource Allocation Engine) for resource scheduling in container orchestration. The proposed engine comprises the Request Load Procedure, Required Resource Measurement Procedure, and Resource Provision Decision Procedure. Through these components, the DRA-Engine dynamically allocates resources according to the application's requirements, presenting a solution to the challenges of resource scheduling in container orchestration.

A Study on Human Resource Management for Information Security in the Age of Information Warfare (사이버테러정보전 전문인력 양성 및 관리 방향에 대한 연구)

  • Kwon, Moon-Taek
    • Convergence Security Journal
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    • v.5 no.3
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    • pp.43-57
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    • 2005
  • This paper is about a study on human resource management for information security in the age of information warfare. this study reviewed the current status of human security resource forces for information warfare and derived problems of current practices of various organizations. Based on the analysis of the current practices the author suggested several ideas for solving the problems various. The suggestions include 1) establishment of security manpower concept, 2) set-up of manpower requirement, ideas, 3) establishment of systematic educational system, 4) standardization, etc.

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Challenges in Construction of Omics data integration, and its standardization (농생명 오믹스데이터 통합 및 표준화)

  • Kim, Do-Wan;Lee, Tae-Ho;Kim, Chang-Kug;Seol, Young-Joo;Lee, Dong-Jun;Oh, Jae-Hyeon;Beak, Jung-Ho;Kim, Juna;Lee, Hong-Ro
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.768-770
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    • 2015
  • We performed integration and standardization of the omics data related agriculture. To do this, we requires progressed computational methods and bioinformatics infrastructures for integration, standardization, mining, and analysis. It makes easier biological knowledge to find. we potentialize registration a row and processed data in NABIC (National Agricultural Biotechnology Information Center) and its processed analysis results were offered related researchers. And we also provided various analysis pipelines, NGS analysis (Reference assembly, RNA-seq), GWAS, Microbial community analysis. In addition, the our system was carried out based on the design and build the quality assurance in management omics information system and constructed the infrastructure for utilization of omics analyze system. We carried out major improvement quality of omics information system. First is Improvement quality of registration category for omics based information. Second is data processing and development platform for web UI about related omics data. Third is development of proprietary management information for omics registration database. Forth is management and development of the statistics module producers about omics data. Last is Improvement the standard upload/ download module for Large omics Registration information.

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Resource Adaptive QoS Management for Q-MOTP in MPLS Network (MPLS망에서 Q-MOTP를 위한 자원 적응적 QoS 관리)

  • Choi, Won-Keun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.12
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    • pp.204-209
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    • 2014
  • This paper has described a QoS mechanism and management for multimedia object transport protocol. Resource manager reports the system resource information to the QoS manager. Based on the combination of two informations, the more effective QoS management can be achieved by organic combination between them on the protocol time domain. Therefore, it is possible for QoS manager to decide call admission control quickly and detect and react the performance fluctuations in protocol time domain.

A Pattern-Based Prediction Model for Dynamic Resource Provisioning in Cloud Environment

  • Kim, Hyuk-Ho;Kim, Woong-Sup;Kim, Yang-Woo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.10
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    • pp.1712-1732
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    • 2011
  • Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

Simulating Pedestrian Evacuation Using Geographic Information Technologies

  • Jingjing, Shi;Hui, Lin
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.414-416
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    • 2003
  • Pedestrian assemblage is now a normal phenomenon in modern cities. To maintain an unblocked traffic situation, protect the pedestrians' safety and make preparedness for any emergencies is an important task for police department. Modeling pedestrian dynamics and simulating evacuation process can provide useful information for make accurate decisions. In this paper, by virtue of geographic information technologies, the authors proposed a conceptual framework to simulate pedestrian dynamics and evacuation in an open urban environment.

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