• 제목/요약/키워드: Key sharing

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Impacts of Emotional Capacity of Managers on Transformational Leadership Behavior in Enterprises: A Case Study in Vietnam

  • TRAN, Quang Bach;NGUYEN, Thai Dung
    • The Journal of Asian Finance, Economics and Business
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    • 제9권10호
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    • pp.201-214
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    • 2022
  • Transformational leadership styles are seen as key to inspiring employees to embrace change, as well as to build a sense of responsibility and autonomy at work. This study aims to examine the impact of managers' emotional capacity on transformational leadership behavior in enterprises in Vietnam. Using quantitative research methodology, through exploratory factor analysis (EFA) and linear structure model (SEM), with survey data of 632 samples who are managers of different levels in the enterprise. Research results show that the emotional capacity of managers has both a direct and indirect impact on transformational leadership behavior through the intermediary factors of knowledge sharing at work and corporate social responsibility for employees. Based on that, the study proposes a number of recommendations to promote transformational leadership behavior in enterprises. The findings of this study have demonstrated the importance and impact of managers' emotional capabilities across multiple dimensions of transformational leadership behavior. These are both theoretical and practical contributions that provide managers with greater insight into their emotional capabilities and the need for transformational leadership behaviors. At the same time, the results of this study will also be an important foundation for further research.

대규모 주민참여형 재생에너지 사업의 지역경제 활성화 평가지표 개발 연구 (Study on the Development of an Evaluation Index for the Local Economy Activation of Community Investment Renewable Energy Projects)

  • 임현지;윤성권;윤태환;김윤성
    • 신재생에너지
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    • 제17권2호
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    • pp.9-23
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    • 2021
  • In Korea, various community investment renewable project models are being implemented to increase community acceptance of renewable energy. An important factor for enhancing local acceptance is that renewable energy projects have a positive effect on revitalizing the local economy such as income increase or job creation for residents and local companies. To maximize the local economic effect of large-scale community investment renewable energy projects, this study developed an evaluation index for local economy activation, whose indicators are the local return on investment, local companies' participation, local job creation, regional cooperation, transparency, and governance. Analysis of existing evaluation indicators and current renewable projects, financial analysis, and expert interviews were used in this research. The pilot evaluation determined that, the local economic effect was high in the following order: a fund investment wind project (Gangwon), benefit-sharing wind project (Jeju), and general wind project. In particular, residents' investment amount, the number of participating residents, and the amount and transparency of the regional cooperation fund were key factors to expand the effect of local economy activation. This evaluation index could be used in public bidding for renewable energy projects such as offshore wind zoning areas of local government.

The Impact of Intellectual Capital on Knowledge Management Processes in Thailand

  • KITTIKUNCHOTIWUT, Ploychompoo;SIRIYOTA, Kumpanat
    • The Journal of Asian Finance, Economics and Business
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    • 제8권9호
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    • pp.249-260
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    • 2021
  • This research explores the effects of intellectual capital on knowledge management processes (creation of information, knowledge sharing, and use of knowledge) and innovation performance. The data was gathered from 224 fashion accessories in Thailand using a questionnaire. The population was collected on December 16, 2019 (https:/www.ditp.go.th) from a list database of the Department of International Trade Promotion, Ministry of Commerce of Thailand (2019). A questionnaire mail survey technique was used to collect data. Executives or managers were the key participants in this study. The statistical technique used to analyze is the ordinary least square regression. The findings show that intellectual capital has a significant positive effect on information management systems. Likewise, information management techniques have a significant positive effect on innovation performance. Moreover, increasing the use of information tends to make staff willing to use the knowledge to improve the quality and quantity of the service. This tendency contributes to productivity gain. Through the interaction of processes of information use, self-reflection, and input from customers, employees tend to increase the production of knowledge that eventually develops the results of the innovation. Hence, organizations should value knowledge management process elements to improve efficiency, and thus innovation.

디지털전환 기반의 교육서비스품질 경쟁우위전략 : W사를 중심으로 (Competitive Advantage Strategy of Educational Service Quality on Digital Transformation : Focusing on W-Company)

  • 진희수;이동원;이돈희
    • 품질경영학회지
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    • 제50권4호
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    • pp.843-861
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    • 2022
  • Purpose: This study explores the impact of digital transformation (DT) strategies on gaining a competitive advantage in interactive educational services. Methods: We develop a service value proposition model by analyzing educational service elements to confirm the impact of DT in the classroom through case studies. This study focuses on educational services that DT has a positive impact on organizational competitiveness by providing opportunities for customers to engage in operational processes. This case study summarizes competitiveness using SWOT (strengths, weaknesses, opportunities, and threats) analysis. Results: The findings of the case study indicate that DT-enabled competitive factors contribute to an organization's competitive advantage. The study results present key resource as social cloud services, data combination, content sharing, and products/services. The online application that collects user data about education and shares class and evaluation information creates a new class operational process in the field of educational service for a value proposition of collection-merging-sharing with social cloud function. Conclusion: The results of this study can be used as a good guideline for educational service providers interested in applying DT for improved customer satisfaction and educational organizations' competitiveness. In addition, the study findings provide theoretical and practical implications on SWOT approaches to changing the educational service provision ways through digital transformation.

The Role of Innovative Work Behavior in Management of Public Transportation in Indonesia

  • Gusti Anisa, WULANDARI;Dewi, SUSITA;Mohammad Sofwan, EFFENDI
    • The Journal of Asian Finance, Economics and Business
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    • 제10권2호
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    • pp.235-245
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    • 2023
  • This study examines the low performance of state civil servants related (ASN) to the management of public transportation at the Directorate of Road Transport (DRT), Ministry of Transportation, Indonesia. This study surveyed 103 ASNs, using a quantitative approach using the Amos SEM software. The results showed that Knowledge Sharing (KS) and Work Engagement (WE) directly influenced Innovative Work Behavior (IWB) as well as Job Performance (JP). Meanwhile, IWB had a significant, direct effect on JP and acts as a full mediator in the effect of KS and WE on JP. The descriptive data obtained also showed that respondents' statements based on gender have differences related to the IWB variable, where on average, women were better than men. However, for other variables (JP, KS, and WE), the data showed that, on average, the statements of male respondents were better than women. This study recommends that the DRT pay attention to IWB as a key factor mediating KS and WE towards increasing JP by maintaining the best indicators and improving the weakest indicators. Furthermore, this study recommends that future research refine these results by adding the variables of gender and educational level of the respondents.

GRID BASED ENERGY EFFICIENT AND SECURED DATA TRANSACTION FOR CLOUD ASSISTED WSN-IOT

  • L. SASIREGA;C. SHANTHI
    • Journal of applied mathematics & informatics
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    • 제41권1호
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    • pp.95-105
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    • 2023
  • To make the network energy efficient and to protect the network from malignant user's energy efficient grid based secret key sharing scheme is proposed. The cost function is evaluated to select the optimal nodes for carrying out the data transaction process. The network is split into equal number of grids and each grid is placed with certain number of nodes. The node cost function is estimated for all the nodes present in the network. Once the optimal energy proficient nodes are selected then the data transaction process is carried out in a secured way using malicious nodes filtration process. Therefore, the message is transmitted in a secret sharing method to the end user and this process makes the network more efficient. The proposed work is evaluated in network simulated and the performance of the work are analysed in terms of energy, delay, packet delivery ratio, and false detection ratio. From the result, we observed that the work outperforms the other works and achieves better energy and reduced packet rate.

A Survey of State-of-the-Art Multi-Authority Attribute Based Encryption Schemes in Cloud Environment

  • Reetu, Gupta;Priyesh, Kanungo;Nirmal, Dagdee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권1호
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    • pp.145-164
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    • 2023
  • Cloud computing offers a platform that is both adaptable and scalable, making it ideal for outsourcing data for sharing. Various organizations outsource their data on cloud storage servers for availing management and sharing services. When the organizations outsource the data, they lose direct control on the data. This raises the privacy and security concerns. Cryptographic encryption methods can secure the data from the intruders as well as cloud service providers. Data owners may also specify access control policies such that only the users, who satisfy the policies, can access the data. Attribute based access control techniques are more suitable for the cloud environment as they cover large number of users coming from various domains. Multi-authority attribute-based encryption (MA-ABE) technique is one of the propitious attribute based access control technique, which allows data owner to enforce access policies on encrypted data. The main aim of this paper is to comprehensively survey various state-of-the-art MA-ABE schemes to explore different features such as attribute and key management techniques, access policy structure and its expressiveness, revocation of access rights, policy updating techniques, privacy preservation techniques, fast decryption and computation outsourcing, proxy re-encryption etc. Moreover, the paper presents feature-wise comparison of all the pertinent schemes in the field. Finally, some research challenges and directions are summarized that need to be addressed in near future.

성공적인 지식경영 시스템구현을 위한 조직문화요소에 대한 연구 (Assessment on Successful Implementation of KM Technology by Key Attributes of Organizational Culture)

  • 박희준;정덕훈
    • 한국전자거래학회지
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    • 제9권1호
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    • pp.221-235
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    • 2004
  • 본 논문은 많은 기업들이 지식 공유를 위하여 성공적인 지식경영 시스템 도입을 추진하는 과정에서 조직문화 요소와 관계에 대한 연구를 목적으로 한다. 최근논문에서 언급된바와 같이 기업이 지식경영 시스템을 도입하는데 많은 문제점이 발견되고 있다는 것을 알 수 있다. 발견된 문제점 중 조직문화 요소에 대한 연구가 미흡하여 성공적인 지식경영 시스템 구현을 위한 장애가 되고 있다. 본 연구는 특정한 조직문화 요소가 지식경영 시스템 구현에 미치는 관계를 살펴보기 위해 OCP와 KMTP tool을 사용하여 26개의 미국 기업을 대상으로 설문조사를 한 결과를 기반으로 성공적인 지식경영 시스템 구현에 관계가 있는 기업 조직문화 요소를 연구 조사하였다.

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Smart City Marketing Strategy: Transformative Endeavor

  • Yooncheong CHO
    • 동아시아경상학회지
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    • 제12권1호
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    • pp.13-22
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    • 2024
  • Purpose: The purpose of this study is to investigate impact of smart city awareness on citizen satisfaction and to measure various factors influencing smart city competitiveness that were rarely addressed in previous studies. For the impacts on the competitiveness of smart cities, this study explored the effects of data-driven service, economic impact, social trust through sharing, environmental protection, and sustainable growth. Research design, data and methodology: To collect data, this study employed an online survey conducted by a reputable research organization. Data analysis involved the use of factor analysis, ANOVA, and regression analysis. Results: This study identified key aspects important for enhancing citizen satisfaction. Furthermore, this research unveiled the significant impacts of data-driven service, economic impact, social trust through sharing, environmental protection, and sustainable growth on the competitiveness of smart cities. Conclusions: The results yield valuable managerial and policy implications. The study suggests that enhancing citizen satisfaction through improved awareness of the smart city is crucial for effective city marketing management. Additionally, the results highlight special aspects necessary to improve smart city competitiveness, including the implementation of promotional policies supported by the government, promoting global competitiveness for domestic companies, and fostering citizen participation for effective city marketing management.

An Efficient VM-Level Scaling Scheme in an IaaS Cloud Computing System: A Queueing Theory Approach

  • Lee, Doo Ho
    • International Journal of Contents
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    • 제13권2호
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    • pp.29-34
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    • 2017
  • Cloud computing is becoming an effective and efficient way of computing resources and computing service integration. Through centralized management of resources and services, cloud computing delivers hosted services over the internet, such that access to shared hardware, software, applications, information, and all resources is elastically provided to the consumer on-demand. The main enabling technology for cloud computing is virtualization. Virtualization software creates a temporarily simulated or extended version of computing and network resources. The objectives of virtualization are as follows: first, to fully utilize the shared resources by applying partitioning and time-sharing; second, to centralize resource management; third, to enhance cloud data center agility and provide the required scalability and elasticity for on-demand capabilities; fourth, to improve testing and running software diagnostics on different operating platforms; and fifth, to improve the portability of applications and workload migration capabilities. One of the key features of cloud computing is elasticity. It enables users to create and remove virtual computing resources dynamically according to the changing demand, but it is not easy to make a decision regarding the right amount of resources. Indeed, proper provisioning of the resources to applications is an important issue in IaaS cloud computing. Most web applications encounter large and fluctuating task requests. In predictable situations, the resources can be provisioned in advance through capacity planning techniques. But in case of unplanned and spike requests, it would be desirable to automatically scale the resources, called auto-scaling, which adjusts the resources allocated to applications based on its need at any given time. This would free the user from the burden of deciding how many resources are necessary each time. In this work, we propose an analytical and efficient VM-level scaling scheme by modeling each VM in a data center as an M/M/1 processor sharing queue. Our proposed VM-level scaling scheme is validated via a numerical experiment.