用于技术预见练习的电子协作工具

Q2 Computer Science

Journal of Systems and Information Technology Pub Date : 2001-06-01 DOI:10.1108/13287260180000757

S. Vranes, Branislav Opacic, F. Pizzio

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引用次数: 1

摘要

我们的多范式软件工具集(由BATEV、DEBATER和CyberDELPHI软件工具组成)基于小组活动(情景、建议、政策提案等)和广泛的专家基础之间的大规模电子协作，结合各种预测范式的一些好的方面，实现了整体预测练习。电子协作包括“通过网络”德尔福调查和软件调解和促进，基于智能群体决策支持范式。多范式的结合为更客观地解决复杂的技术预见问题提供了坚实的基础。经过头脑风暴过程(由BATEV技术库和DEBATER智能决策支持系统协助进行技术评估)，确定了科学和技术进步的潜在未来机会，小组成员使用CyberDELPHI电子协作软件进行了广泛的协作咨询过程。CyberDELPHI实现…

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E‐collaboration tool for technology foresight exercise

Our multiparadigm software toolset (consisting of BATEV, DEBATER and CyberDELPHI software tools) enables a holistic forecasting exercise, combining some good aspects of various foresight paradigms, based on both panel activities (scenarios, recommendations, policy proposals, etc.) and a large scale e‐collaboration among wide expert base. The e‐collaboration encompasses “via‐net” Delphi survey and software mediation and facilitation, based upon intelligent group decision support paradigm. The combination of multiple paradigms supplies a firm foundation for addressing complex technology foresight problems more objectively. Following a brain‐storming process (assisted by BATEV technology repository, and DEBATER intelligent decision support system for technology assessment) in which potential future opportunities for scientific and technological advances are identified, panels engage in an extensive and collaborative consultation process, using the CyberDELPHI e‐collaboration software. The CyberDELPHI impleme...

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来源期刊

Journal of Systems and Information Technology Computer Science-Computer Science (all)

CiteScore

4.40

自引率

0.00%

发文量

期刊介绍： The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.