• Title/Summary/Keyword: Science and technology governance

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Governance Structures to Facilitate Collaboration of Higher Education Institutions (HEIs) and Science &Technology Parks

  • Kang, Byung-Joo
    • World Technopolis Review
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    • v.5 no.2
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    • pp.108-118
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    • 2016
  • There are very few studies on governance structure for the collaboration between HEIs and science and technology parks until today. Major activities between science parks and HEIs are R&D activities, collaborative researches, technology transfer, space provision for BIs and Technology BIs in the science parks, provision of technical, legal and financial services for start-ups and venture firms. Governance structure for the collaboration of high education institutes with science and technology parks is the handling of complexity and management of dynamic flows of collaboration between two groups. Three models on the governance structure for the collaboration are suggested in this study. The first model is a governance structure that links R&D system such as universities, public research institutes and private research institutes with industrial production cluster such as a group of companies and industrial parks. The second model is a governance structure that has four layers of hierarchy. This hierarchical governance model is composed of four levels of organizations such as central government, three actors, one center for collaboration and many individual research performers. The third model is a governance structure that networks all the stakeholders horizontally. Under this structure, governance is conducted by the network members with no separate and unique governance entity.

A Level Evaluation Model for Data Governance (데이터 거버넌스 수준평가 모델 개발의 제안)

  • Jang, Kyoung-Ae;Kim, Woo-Je
    • Journal of the Korean Operations Research and Management Science Society
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    • v.42 no.1
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    • pp.65-77
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    • 2017
  • The purpose of this paper is to develop a model of level evaluation for data governance that can diagnose and verify level of insufficient part of operating data governance. We expanded the previous study related on attribute indices of data governance and developed a level model of evaluation and items. The model of level evaluation for data governance is the level of evaluation and has items of 400 components. We used previous studies and expert opinion analysis such as the Delphi technique, KJ method in this paper. This study contributes to literature by developing a level evaluation model for data governance at the early phase. This paper will be used for the base line data in objective evidence of performance in the companies and agencies of operating data governance.

A Quantitative Assessment Model for Data Governance (Data Governance 정량평가 모델 개발방법의 제안)

  • Jang, Kyoung-Ae;Kim, Woo-Je
    • Journal of the Korean Operations Research and Management Science Society
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    • v.42 no.1
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    • pp.53-63
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    • 2017
  • Managing the quantitative measurement of the data control activities in enterprise wide is important to secure management of data governance. However, research on data governance is limited to concept definitions and components, and data governance research on evaluation models is lacking. In this study, we developed a model of quantitative assessment for data governance including the assessment area, evaluation index and evaluation matrix. We also, proposed a method of developing the model of quantitative assessment for data governance. For this purpose, we used previous studies and expert opinion analysis such as the Delphi technique, KJ method in this paper. This study contributes to literature by developing a quantitative evaluation model for data governance at the early stage of the study. This paper can be used for the base line data in objective evidence of performance in the companies and agencies of operating data governance.

Component Development and Importance Weight Analysis of Data Governance (Data Governance 구성요소 개발과 중요도 분석)

  • Jang, Kyoung-Ae;Kim, Woo-Je
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.3
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    • pp.45-58
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    • 2016
  • Data are important in an organization because they are used in making decisions and obtaining insights. Furthermore, given the increasing importance of data in modern society, data governance should be requested to increase an organization's competitive power. However, data governance concepts have caused confusion because of the myriad of guidelines proposed by related institutions and researchers. In this study, we re-established the concept of ambiguous data governance and derived the top-level components by analyzing previous research. This study identified the components of data governance and quantitatively analyzed the relation between these components by using DEMATEL and context analysis techniques that are often used to solve complex problems. Three higher components (data compliance management, data quality management, and data organization management) and 13 lower components are derived as data governance components. Furthermore, importance analysis shows that data quality management, data compliance management, and data organization management are the top components of data governance in order of priority. This study can be used as a basis for presenting standards or establishing concepts of data governance.

Collaborative Governance in Philippine Science and Technology Parks: A closer look at the UP - Ayala Land Technohub

  • Sale, Jonathan P.
    • World Technopolis Review
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    • v.4 no.1
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    • pp.23-32
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    • 2015
  • Public-private partnerships (PPPs) are very popular governance practices, as they enable the private partner to engage in business and have profits while the public partner improves the provision of public services. PPPs are organizational arrangements with a sector-crossing or sector-blurring nature, and are modes of governance - governance by partnerships or collaborative governance (Schuppert 2011). New models and applications of PPPs have been developed over time. Collaborative governance entails information exchange, action or movement harmonization, resource sharing, and capacity enhancement among the partners (Sale 2011; 2012a). As the national university, the University of the Philippines (UP) serves as a research university in various fields of expertise and specialization by conducting basic and applied research and development, and promoting research in various colleges and universities, and contributing to the dissemination and application of knowledge, among other purposes. (Republic Act 9500) It is the site of two (2) science and technology parks (Sale 2012b), one of which is the UP - Ayala Land Technohub. A collaboration between industry and the academe, the Technohub is envisioned as an integrated community of science and technology companies building a dynamic learning and entrepreneurial laboratory (UP-AyalaLand Technohub). This paper takes a closer look at the UP - Ayala Land Technohub as an example of a PPP or collaborative governance in science and technology parks. Have information exchange, action or movement harmonization, resource sharing, and capacity enhancement taken place in the Technohub? What are some significant outcomes of, and issues arising from, the PPP? What assessment indicators may be used? Is a governance instrument needed?

Exploring Governance Models of Science & Research Parks and Related Organizations

  • Kang, Byung-Joo
    • World Technopolis Review
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    • v.3 no.1
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    • pp.39-54
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    • 2014
  • Recently, investment to basic science has been increased and infrastructure of science and technology has been expanded in developed countries like U.S.A, UK and Japan to foster high-tech industries. Science and research parks are built and under operation to acquire national competitive power and to activate regional economy over the world today. It is argued that more synergy effects are generated when science and research parks are operated in cooperation with related organizations and facilities such as firms, universities, research institutes and governments than it is operated by one organization. The aim of this paper is to develop a governance model of science and research parks. One comprehensive model and three individual governance models were developed according to the structure and relations of industry-science/research park-supporting organization interactions. When governance model of science and research parks is established and properly managed, national development capacity would be greatly enhanced through the acceleration of technology transfer, industrial production rise and enhancement of efficiency in the area of R&D and supporting system etc. One of the key factors in building governance system for science and research parks is establishing a control tower that supervises governance system comprehensively and systematically.

Land Registration: Use-case of e-Governance using Blockchain Technology

  • Veeramani, Karthika;Jaganathan, Suresh
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.9
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    • pp.3693-3711
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    • 2020
  • e-Governance is a medium to offer various services to citizens through a web portal, that exists in many countries nowadays. The existing e-Governance technology is a vast, centrally managed database and a set of applications that connect to it via web interfaces. Despite the modernisation of services, it remains with the lack of transparency. Thus, the existing infrastructure of e-Governance paves the way for corrupt practises by the bureaucrats. e-Governance needs a powerful underlying technology which doesn't provide any way to allow tampering of the record and which in turn eliminates corruption. In this paper, we took land registration as a use-case for building e-Governance by keeping Blockchain as an underlying technology, to put off the corrupt practices and to bring transparency. Once transactions in land registration added to the Blockchain, it is immutable as it is cryptographically secured. Besides, the blockchain technology is secured as the ledger is distributed over the network. If a hacker wants to modify the ledger, he needs to hack every node in the blockchain network. Hyperledger Fabric, a permissioned Blockchain adopted for implementation and Hyperledger Caliper for performance analysis with these evaluation metrics such as throughput, latency and execution time.

Collaborative Governance, Decent Work and Innovation: An Analytical Framework for Sustainable Workplaces Based on the Case of Philippine Science and Technology Parks

  • SALE, Jonathan
    • World Technopolis Review
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    • v.5 no.1
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    • pp.71-82
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    • 2016
  • This paper explores, explains and describes a framework for analyzing collaborative governance, decent work and innovation as fundamental elements of sustainable workplaces through case study of Philippine science and technology (S & T) parks. Rules, or the legal infrastructure, are particularly significant considerations that facilitate or hinder collaboration. Industrial relations/human resource (IR/HR) practices are essential to collaboration and decent work. Employee consultation and labor-management council or committee are examples of IR/HR practices that might contribute to collaboration and decent work in firms and workplaces in S & T parks as they are team approaches to production, too. Collaboration and decent work enhance the capacity to innovate. In the long run, collaborative governance, decent work and innovation tend to converge in the concept of sustainable development. The interdependencies and interactions among collaborative governance, decent work and capacity to innovate in firms operating in S & T parks make possible new solutions to new problems (i.e., innovation) and, thus, sustainable workplaces.

Analysis of Governance Common Success Factors for Activity Standards of Science and Technology Experts (Verification by a case of Climate and Environment Governance of Seoul City) (탄소중립 거버넌스 참여 과학기술전문가의 활동 기준 제시를 위한 공통성공요인 분석 (서울시 기후환경분야 거버넌스 사례를 통한 검증))

  • Ji-Kwang Cheon;Hea-Ae Kim;Min-Kyu Ji;Byong-Hun Jeon
    • Clean Technology
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    • v.29 no.2
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    • pp.151-159
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    • 2023
  • The realization of carbon neutrality requires cooperation from various stakeholders and the utilization of a governance system. The criteria for participating members are crucial for the successful operation of governance, and it is especially necessary for experts who can provide scientific advice for policy implementation to share a framework for successful consensus. In this study, governance model theory and model structure, governance common success factors by case, and the application of governance cases in the climate and environmental sector of Seoul, were investigated and analyzed to derive common success factors in order to present the activity standards of the science and technology experts participating in governance. The study of the model theory suggested that the model structure is commonly composed of a basic condition-process-result structure, and it was confirmed that common success factors can be derived at the process stage which is the activity period of members. Through the case study of common success factors, overlapping factors were found to be reliability, accountability, transparency, networks, and related factors. The validity of the common success factors was verified using the analysis results of satisfaction survey data from Seoul Governance Committee participants. The results confirmed that reliability was the most valuable factor followed by networks, transparency, and responsibility, and it was found that the related factors were appropriately derived. The findings of this study are expected to be used as an activity factor for science and technology experts to increase the acceptability and effectiveness of carbon-neutral policies in the future.

Politics of Technoscience and Science and Technology Governance in Korea (한국의 과학기술정치와 거버넌스)

  • Bak, Hee-Je;Kim, Eun-Sung;Kim, Jongyoung
    • Journal of Science and Technology Studies
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    • v.14 no.2
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    • pp.1-48
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    • 2014
  • Recently, governance of science and technology emerged as one of most important social problems and as a result it is crucial to understand it in science and technology studies. This article discusses three most important realms in science and technology goverance - research and development, regulation, and social movement - in the concrete Korean contexts. First of all, the Korean state has driven research and development and promoted its commercialization unlike other developed countries. Consequently, this nationalistic view on science disseminated to Korean public and it generated uniformity in research style and organization. Second, science and technology regulations embraced developed countries' policies, leading to its glocalization. As a result, technocratic old governance and new governance including precautionary principle and participatory democracy coexist. Third, the civil society has challenged expertise and state-driven science and technology governance and fueled social movements related to environment, safety, and health issues. The politics of knowledge created by citizens' voluntary participation and collaborative experts made it clear that science and technology should be no longer tool for economic development. In conclusion, we discuss characteristics of science and technology governance in Korea, giving various implication on current research and policy.

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