Using Key Alignment Indicators for Performance Evaluation in Collaborative Networks

نویسندگان

  • Roberto da Piedade Francisco
  • Américo Lopes Azevedo
  • João Bastos
  • António Almeida
چکیده

This paper aims to explore the performance alignment in collaborative network environments. It has been stated that performance management based on data collection and the evaluation of key performance indicators (KPIs) may not be effective due to the different indicators and measurement systems in place for the various participants in a collaborative network (CN). Therefore, measuring the strategic and inter-organizational alignment based on key alignment indicators (KAIs) can be an excellent alternative to improve performance evaluation systems. This approach has led to the exploration of the performance prediction paradigm and develops tools to estimate a performance and evaluate the degree of alignment by creating instances of a future performance in collaborative networks.

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تاریخ انتشار 2011