企业数据模型:组织实践研究

Q2 Computer Science
P. Beynon-Davies
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引用次数: 2

摘要

在本文中,我们讨论了信息系统管理和开发的一个领域,这个领域似乎已经被许多主要的欧洲和美国组织所实践:企业数据建模领域。然而,或许相当令人惊讶的是,很明显,很少有理论或实证文献致力于这一重要问题。很少有经验证据表明采用这种做法的实际规模,当然也很少有专门讨论这种活动的效力问题或考虑这一领域的良好做法的分析材料。本文的主要目的是开始提供一些关于企业数据建模的早期实证和分析材料。我们一直在对英国一些组织的企业数据建模经验进行研究。我们希望对当前企业数据建模经验的考察将激发对这一重要现代it领域的目的和实践的更清晰的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The corporate data model: A study of organisational practice
In this paper we discuss an area of information systems management and development that appears to have been practised by many major European and US organisations: the area of corporate data modelling. However, rather suprisingly perhaps, it is clear that there is little theoretical or empirical literature devoted to this important issue. There is little empirical evidence to indicate the actual scale of adoption of this practice, and there is certainly little analytical material devoted to questions of the efficacy of this activity or considerations of good practice in this area. The main aim of this paper is to begin to offer some early empirical and analytical material on corporate data modelling. We have been conducting a study of a number of organisation’s experience of corporate data modelling in the UK. We would hope that an examination of the current corporate experience of corporate data modelling will stimulate a clearer discussion of the purposes and practices of this important area of modern i...
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来源期刊
Journal of Systems and Information Technology
Journal of Systems and Information Technology Computer Science-Computer Science (all)
CiteScore
4.40
自引率
0.00%
发文量
18
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.
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