Systematic review of system dynamics applications in performance measurement research

Olufunke Oladimeji, Jennifer Cross, Heather Keathley-Herring

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

The use of performance measurement (PM) systems has evolved over the years for academic researchers and industry practitioners which has changed the way systems are designed, implemented, used, and reviewed. PM systems highlight the shortcomings of an organization including the processes, people or product that allow for improvements and contribute to success in the organization. PM system implementation comes with much complexity and, while scholarly research suggests that over 50% of PM system implementations fail, there is little agreement on how elements in the system interact over time or why the implementations fail. System dynamics (SD) modeling is an approach that can be applied to complex systems and processes such as PM system implementation because it recognizes the system structure, explores and understands the relationships among components, and helps describe how elements interact. This research uses a systematic literature review methodology for evidence-informed research. This includes defining and establishing consistent search terms across platforms, and an evidence-based and systematic review with the goal of collecting and studying existing research through a bibliometric analysis. The aim of this research is to identify past and current trends in research that applies SD approaches in PM. This paper provides research trends in applying SD in PM, identifies areas where SD has been used in PM to add value, and sets priorities for future research work.

Original languageEnglish
StatePublished - 2017
Event2017 International Annual Conference of the American Society for Engineering Management, ASEM 2017 - Huntsville, United States
Duration: Oct 18 2017Oct 21 2017

Conference

Conference2017 International Annual Conference of the American Society for Engineering Management, ASEM 2017
CountryUnited States
CityHuntsville
Period10/18/1710/21/17

Keywords

  • Bibliometric Analysis
  • Performance Measurement
  • System Dynamics
  • Systematic Literature Review

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