Benchmarking IT Operations Cost Based on Working Time and Unit Cost

Benchmarking IT Operations Cost Based on Working Time and Unit Cost
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根据工作时间和单位成本对 IT 运营成本进行基准测试

DOI:
10.1016/j.scico.2016.10.006
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发表时间:
2017
影响因子:
1.3
通讯作者:
Tomoki Oshino
Tomoki Oshino
中科院分区:
计算机科学4区
文献类型:
--
作者:
Masateru Tsunoda;Akito Monden;Kenichi Matsumoto;Sawako Ohiwa;Tomoki Oshino

文献摘要

相似文献

近年来,信息系统的规模越来越大,信息系统的运营(IT运营)往往是外包的。当大型系统的IT操作被外包时,需要高成本,并且IT操作中的问题可能影响公司的活动。因此,信息系统的运作对企业来说是非常重要的。成本是系统运营外包的重要因素之一。然而,用户(系统用户)并不容易判断运营成本是否有效。为了支持判断,我们专注于客户可以知道的信息(例如,软件的大小),以估计工作时间。在分析中,我们阐明了影响工作时间的因素。然后,根据因素对数据进行分层,以显示工作时间的基准。使用基准,客户大致估计工作时间。同时,本文还对影响单位成本的因素进行了分析,并给出了基准。运营成本可以通过估计工作时间乘以估计单位成本来估计。分析结果表明,工艺标准化与操作人员的工作时间有关。此外,网络范围和合同类型与运营商的单位成本有关。工作效率和单位成本不影响操作质量。
Recently, size of information system gets large, and the information system operation (IT operations) is often outsourced. When IT operations of the large system is outsourced, high cost is needed, and troubles in IT operations may affect the activity of the company. Therefore, the information system operation is important for the companies. Cost is one of the important factors when the system operation is outsourced. However, it is not easy for the customers (system users) to judge whether the operation cost is valid or not. To support the judgment, we focus on information which the customers can know (e.g., size of software), to estimate the working time. In the analysis, we clarified the factors which affect the working time. Then, data was stratified based on the factors, to show the benchmark of working time. Using the benchmark, customers estimate the working time roughly. Also, we clarified the factors which affect the unit cost, and showed the benchmark. Operation cost can be estimated, by estimated working time multiplied by the estimated unit cost. The analysis results showed that the process standardization relates to the working time of operators. Also, the network range and the contract type have a relationship to the unit cost of operators. Work efficiency and unit cost do not affect operation quality.