商业信息学精选专题:CSIMQ第29期编辑介绍

Birger Lantow, Erika Nazaruka, K. Sandkuhl
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引用次数: 0

摘要

商业信息学是一门将计算机科学、工商管理和信息技术相结合,并在其社会经济背景下研究相关现象的科学学科,包括公司、组织、管理和一般社会。作为一个研究领域,它与管理科学、组织科学、计算机科学、系统工程、信息系统、信息管理、社会科学、经济信息科学等领域有着密切的联系。本期专题的目的是,从应用领域和应用的研究方法的角度,展示商业信息学领域研究的多样性。在这个问题上可见的应用领域是制造业中的产品开发、大学中的在线学习、博物馆网络中的创新活动以及教育组织中的课程工程。研究方法包括各种定量和定性方法,结合原型设计和设计科学范式。专题合集以题为“虚拟样机:评估基于数字孪生的虚拟工厂的新产品引进”的文章开始。在这篇文章中,作者讨论了几个行业用虚拟原型代替物理原型的需求,以减少产品和生产生命周期的成本和时间。本文的重点是新产品的引入和虚拟样机在虚拟工厂及其“数字双胞胎”中的应用。该研究的目标是提供知识,缩小支持复杂制造系统设计和管理的理论与应用领域中技术的集成和实施之间的差距。对系统工程的贡献是基于两个工业案例研究和一个综合概念的专家评估,它将最先进的技术与系统开发过程集成在一起。研究结果表明,基于数字孪生的虚拟工厂在新产品引进方面的有效性,特别是在推进生产流程和系统的开发方面。第二篇文章《新冠肺炎疫情下的学习成功率实证研究》
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Selected Topics on Business Informatics: Editorial Introduction to Issue 29 of CSIMQ
Business Informatics is the scientific discipline combining computer science, business administration and information technology and investigating related phenomena in their socioeconomical context, including companies, organizations, administrations, and society in general. As a field of study, it is closely related to the fields of management science, organizational science, computer science, systems engineering, information systems, information management, social science, and economics information science. The objective of this thematic issue was to show the diversity of research in the field of business informatics, both from the perspective of application areas and from the research methodologies applied. Application areas visible in this issue are product development in manufacturing industries, online learning in universities, innovation activities in networks of museums, and curriculum engineering in educational organizations. Research methods include various quantitative and qualitative approaches combined with prototyping and the design science paradigm. The thematic issue collection opens with the article entitled “Virtual Prototyping: Evaluating the Digital Twin Based Virtual Factory for New Product Introduction”. In this article, the authors address the need of several industries to replace physical prototyping with virtual prototyping for reducing product and production lifecycle costs and time. The focus of the paper is on new product introduction and the use of virtual prototyping in virtual factories and their “digital twins”. The study has the ambition to provide knowledge closing the gap between theories supporting the design and management of complex manufacturing systems, and integration and implementation of technologies in the application domain. The contribution to systems engineering is based on two industrial case studies and expert evaluations of a comprehensive concept, which integrates state-of-the-art technologies with systems development processes. The results indicate the usefulness of digital twin based virtual factories in new product introduction particularly for progressing the development of production processes and systems. The second article, “An Empirical Research on Study Success in Times of COVID-19
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