Can Big Data Analytics Enhance Performance Measurement Systems?

被引：12

作者：

Mello R. ^{[1
]}

Martins R.A. ^{[2
]}

机构：

[1] Department of Information Systems, Westfalische Wilhelms-Universitat Munster, Munster

[2] Departamento de Engenharia de Producao, Universidade Federal de Sao Carlos, Sao Carlos

来源：

IEEE Engineering Management Review | 2019年 / 47卷 / 01期

关键词：

Big data analytics; multiple case studies; performance measurement systems; performance measures;

D O I：

10.1109/EMR.2019.2900645

中图分类号：

学科分类号：

摘要：

Performance measurement systems are a critical element of managing performance. Despite the potential of big data analytics (BDA) to improve performance measurement systems (PMSs), its real impact is still not entirely clear. This paper investigates the potential of BDA to enhance PMSs. We use two short case studies to investigate such impact. The results show that descriptive and predictive analytics boost performance analysis. The use of external non-structured data challenges the companies regarding the data veracity. Business and operations management professionals should pay attention to both the employees' capability in data science and data management. They are critical issues when seeking to enhance PMS using BDA. © 1973-2011 IEEE.

引用

页码：52 / 57

页数：5

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