Author(s)

Maria Zenilda da Silva, Adenir Steimback, Ademar Dutra, Graciella Martignago, Vinicius Dezem

Universidade do Sul de Santa Catarina (UNISUL), Florianopolis, Brazil.

This research aims to build a model for performance evaluation of the implementation phase of a technology park, through the multicriteria methodology for constructivist decision aid (MCDA-C). This is a survey based on the constructivist paradigm, in a form of case study, of an exploratory nature, with qualitative and quantitative approach. For data collection, interview techniques, direct observation and review documents were used. As results the model enabled: i) identify four Areas of Concern, sixteen Fundamental Points of View—FPVs and seventy-one descriptors (performance indicators) that integrate the evaluation model; ii) demonstrate the performance profile of the current situation (statusquo) of the Technology Park implementation process, which resulted in 62 points; iii) explain a structured process for the identification of strengths and opportunities for performance improvement. Thus, the research generated knowledge regarding the Technology Park implementation process and the evaluation model is a tool to support the management in decision-making activities.

Performance Evaluation, Technology Park, Performance Indicators, MCDA-C Methodology

da Silva, M. , Steimback, A. , Dutra, A. , Martignago, G. and Dezem, V. (2016) Performance Evaluation of Technology Park Implementation Phase through Multicriteria Methodology for Constructivist Decision Aid (MCDA-C). Modern Economy, 7, 1687-1705. doi: 10.4236/me.2016.714148.