Diagnosis for Effectiveness: Performance Assessment from a Diagnostic Measurement Perspective with Big Data

Authors

  • Cody Ding University of Missouri-St. Louis
  • Jiyuan Zhang Nanjing City Construction & Development Corporation

DOI:

https://doi.org/10.18533/ijbsr.v4i6.520

Keywords:

diagnostic assessment, performance effectiveness, visual analysis of big data

Abstract

Although traditional performance assessment of employees and organizations has the potential advantages, there are also potential problematic issues such as detrimental to quality improvement or negative perceptions. The purpose of this paper is to propose a diagnostic assessment framework for monitoring and improving performance of both employees and organizations. This framework is called "diagnosis for effectiveness," which provides information that needs to adjust managing strategies while they are still happening and guides both managers and employees in making decisions about future strategic actions. In addition, we suggest a big data approach via spatial models for evidence-based performance decision.

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Published

2014-06-17

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