Measuring the complexity of information system based on the data complexity

被引：0

作者：

Liu, Wei ^{[1
]}

Ge, Shi-Lun ^{[1
]}

Wang, Nian-Xin ^{[1
]}

Yin, Jun ^{[1
]}

机构：

[1] School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, China

来源：

Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2013年 / 33卷 / 12期

关键词：

Cost estimating - Information use - Management information systems - Data structures - Information management;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Measuring the complexity of information system (IS) is a prerequisite for information systems cost estimating and information systems pricing. For measuring the IS complexity more comprehensive and dynamically, one new construct of data complexity is brought forward and is divided into three dimensions, which are data structure, data volume, and data manipulation. Then, information entropy models are used to compute the complexity of data structure, data volume, and data manipulation, and the grid space theory is employed to calculate the overall data complexity. Finally, an empirical study is conducted with the material management system and sale management systems in two manufacturing firms, and the results indicate that the measurement model and computation method of data complexity are useful to measure the complexity of information system.

引用

页码：3198 / 3208

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