The paper aims to cover a research gap in the analysis of certain enablers and their
role in the success of science and technology parks (STPs). The goal of the research
was to analyse the features of the enablers and point out their potential relationships
with various success criteria. The outcomes of the research will help park management
better understand STP behaviours. The analysis was done based on the survey data of
113 STPs. After definitions of enabler areas and success criteria plus a literature
review, first the interrelations of enabler elements have been analysed using the
Association Rule Mining method. Then, their relationship towards eight success criteria
measurements have been studied using statistical analysis in order to find the key
success drivers. Such a combination has rarely been used for analysing STPs in related
research. According to the findings, there are apparent patterns and features within
the analysed enabler areas. This is unique feature of the current paper, which highlights
the necessity of taking a complex approach towards park services. It underlines the
need for research, development and innovation competences and structures in STPs.
The statistically relevant enablers as success drivers have revealed the importance
of the presence of several factors (like management behaviour, park activities, service
elements, etc.). This underlines that balanced development is crucial to successful
parks achieving high-level performance.
