TY - CHAP
T1 - Evaluating the success of companies at university science parks
T2 - Key performance and innovation indicators
AU - Olvera, Claudia
AU - Piqué, Josep M.
AU - Cortés, Ulises
AU - Nemirovsky, Mario
N1 - Funding Information:
(Spain Grants) European Union Public Funds (Participation in EU 7 Framework, Horizon 2020)
Funding Information:
Acknowledgements This work has been partially funded by The National Council of Science and Technology of México, (CONACyT). We thank, Sara Ortiz from ITESO University, México. Victor Muntes, Dorica Munell, and, David Sanchez from CA Technologies Company, and, Soraya Hidalgo from TTO of Universitat Politècnica de Catalunya, for their insights on KPIs work and survey validation. Also we acknowledge the IASP and APTE Science Parks associations for allowing access to the data and support in the Science Parks Directors’ interviews. Prof. Cortés is a member of the Sistema Nacional de Investigadores CONACyT-México.
Funding Information:
Regarding quantitative research, a comparative approach was used between Spain and Mexico. Data was taken from 90 online surveys, 78.89% online surveys in Spain and 21.11% online surveys in Mexico. The survey was designed with the objective of identifying the main KPI’s in the University-Business Collaboration (UBC). For this purpose, a literature review of the most representative studies on this topic was carried out. Additionally, collaborative work was done from September 2017 to March 2018 with CA Technologies Company, which had been co-located at the Polytechnic University of Catalonia, Spain for eight years. This collaborative work is a result of the Science2Society project, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement N° 693651. In addition to designing and validating the online survey, two frameworks were designed with the main KPIs of both the university and the company. These university-company frameworks show the objectives, strategies and long-term KPIs, as well as process KPIs, and they are a useful guide to evaluate the accomplishments and alignment of goals in UBC, (see Figs. 1 and 2). The online Surveymonkey platform was utilised to send the survey and collect the data. Regarding the Statistical Method, the Principal Components Analysis (PCA) technique was applied for the data analysis, using the SPSS statistical software. The PCA technique serves for data reduction by finding homogeneous groups of variables and highlighting their correlation between each other [1, 16].
Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Science and Technology Parks (STPs) facilitate the flow of knowledge and technology among universities, R&D institutions, companies and markets, and foster the creation and growth of innovation-based companies. Among the diversity of STPs, it is possible to identify two types: Science Parks (SPs), which involves university shareholding and Technology Parks (TPs), which are not owned by universities. This study will take into account just SPs due they are closely linked to the university, and they are the bridge between University and companies in the process of Knowledge and Technology Transfer (KTT). The evaluation of the firm’s performance in SPs results in determinant to identify the needs of the companies and the feasibility of the University-Business Collaboration (UBC). Firm’s real needs also are of interest of Universities, since they face the challenge of designing strategies that best help them to transfer the knowledge more effectively. While previous studies have been focused on tenants’ innovation performance on-Park and off-Park, very little research has taken into account the Parks heterogeneity that may affect the firm’s performance. This research focuses on SPs in Spain and México due to data availability. This paper (1) aims to identify the Key Performance Indicators (KPI’s) used by Companies co-located at SPs, and (2) explore the performance measure and critical success factors of SPs. For this study, data was collected through 71 online company surveys in Spain and 19 online company surveys in México. This empirical analysis uses ten semi-structured interviews to explore (KPI’s) and success factors of SPs in both countries.
AB - Science and Technology Parks (STPs) facilitate the flow of knowledge and technology among universities, R&D institutions, companies and markets, and foster the creation and growth of innovation-based companies. Among the diversity of STPs, it is possible to identify two types: Science Parks (SPs), which involves university shareholding and Technology Parks (TPs), which are not owned by universities. This study will take into account just SPs due they are closely linked to the university, and they are the bridge between University and companies in the process of Knowledge and Technology Transfer (KTT). The evaluation of the firm’s performance in SPs results in determinant to identify the needs of the companies and the feasibility of the University-Business Collaboration (UBC). Firm’s real needs also are of interest of Universities, since they face the challenge of designing strategies that best help them to transfer the knowledge more effectively. While previous studies have been focused on tenants’ innovation performance on-Park and off-Park, very little research has taken into account the Parks heterogeneity that may affect the firm’s performance. This research focuses on SPs in Spain and México due to data availability. This paper (1) aims to identify the Key Performance Indicators (KPI’s) used by Companies co-located at SPs, and (2) explore the performance measure and critical success factors of SPs. For this study, data was collected through 71 online company surveys in Spain and 19 online company surveys in México. This empirical analysis uses ten semi-structured interviews to explore (KPI’s) and success factors of SPs in both countries.
KW - Evaluation metrics
KW - Key performance indicators (KPIs)
KW - Open innovation
KW - Science parks
KW - University business collaboration
UR - https://www.scopus.com/pages/publications/85076722850
U2 - 10.1007/978-3-030-23898-8_7
DO - 10.1007/978-3-030-23898-8_7
M3 - Chapter
AN - SCOPUS:85076722850
T3 - Lecture Notes in Civil Engineering
SP - 77
EP - 92
BT - Lecture Notes in Civil Engineering
PB - Springer
ER -