{"title":"企业数据模型:组织实践研究","authors":"P. Beynon-Davies","doi":"10.1108/13287269780000734","DOIUrl":null,"url":null,"abstract":"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...","PeriodicalId":38615,"journal":{"name":"Journal of Systems and Information Technology","volume":"1 1","pages":"45-60"},"PeriodicalIF":0.0000,"publicationDate":"1997-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/13287269780000734","citationCount":"2","resultStr":"{\"title\":\"The corporate data model: A study of organisational practice\",\"authors\":\"P. Beynon-Davies\",\"doi\":\"10.1108/13287269780000734\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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...\",\"PeriodicalId\":38615,\"journal\":{\"name\":\"Journal of Systems and Information Technology\",\"volume\":\"1 1\",\"pages\":\"45-60\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1108/13287269780000734\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Systems and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/13287269780000734\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/13287269780000734","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
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...
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.