Using Key Alignment Indicators for Performance Evaluation in Collaborative Networks

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

Roberto da Piedade Francisco (Author) Other; Americo Azevedo (Author) FEUP; Joao Bastos (Author) Other; Antonio Almeida (Author) Other

Conference proceedings International

Title: ADAPTATION AND VALUE CREATING COLLABORATIVE NETWORKS

Pages: 159-166

12th IFIP WG 5.5 Working Conference on Virtual Enterprises (PRO-VE 2011)

Sao Paulo, BRAZIL, OCT 17-19, 2011

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 5 Citations

Scientific classification

FOS: Engineering and technology > Industrial biotechnology

Other information

Authenticus ID: P-002-W6M

DOI: 10.1007/978-3-642-23330-2_18

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8