A Classification of Information Systems: Analysis and Interpretation

• 成果类型: Article
• 署名作者: Ein-Dor, Phillip; Segev, Eli
• 署名单位: Tel Aviv University
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047
• DOI: 10.1287/isre.4.2.166
• 发表日期: 1993
• 页码: 166-204
• 关键词: environment; automation

摘要

Seventeen major types of information systems are identified and defined by vectors of their attributes and functions. These systems are then classified by numerical methods. The quantitative analysis is interpreted in terms of the development history of information system types. Two major findings are that the numerical classification autonomously follows the chronological appearance of system types and that, along the time line, systems have followed two major paths of development; these have been termed the applied artificial intelligence path and the human interface path. The development of new types of systems is considered within the framework of a theory of technological evolution. It is shown that newer types of systems result from gradual accretion of new technologies on one hand, and loss of older ones on the other. Conclusions are drawn concerning the value of taxonomy in studying information systems, in suggesting possible research directions, and the desirability of rationalizing research efforts within the IS discipline.