|Ph.D Student||Hindi Tali Noy|
|Subject||Synergies in Science-Based Regional Innovation Systems (RIS)|
|Department||Department of Architecture and Town Planning||Supervisor||Professor Emeritus Amnon Frenkel|
|Full Thesis text - in Hebrew|
The study examined the effect of synergistic processes among high-technology firms on their level of innovation, hence, on the aggregated innovation level of the region where the company is located.
Three spatial agglomerations comprising 1,898 high-tech companies were selected for the field survey out of the total 5,780 high-tech companies in Israel (IVC data base). A total of 195 companies constituting about 10% of all the companies located in the three sampling regions, responded to the questionnaire. In addition, interviews were conducted with ten key members in the Israeli High-Tech industry in order to identify the conditions that hinder and encourage external interactions.
According to the survey data, between 2010- 2013, 91 companies, representing 47% of all the companies in the sample, held about three interactions on average. Total of 270 interactions were reported. The largest group of interactions (about 40%) meet the definition of collaborations, about 35% of the interactions performed can be defined as cooperation, while a quarter of the interactions can be defined as coordination. 65% of the interactions were described as persistent inter-relationships, which last 24 months on average.
Data on internal R&D investments including investment in external interactions and revenues from products developed in the surveyed years, were included in the model to examine how various levels of interaction affect the level of firm performance. Using multivariate regression models, show that companies conducting external interactions increase their revenue by 3.95 times compared with companies that do not interact.
Cluster analysis was conducted on interactions' characteristics such as complexity, partnership mix, geographic affiliation, and more. The result indicates three clusters with a different multivariate profiles (not just geographic): the Israeli cluster (31.4% of the companies), a cluster of companies that interact with organizations and companies from different regions of Israel; the local cluster (19.8% of the companies), a cluster of companies that interact with organizations and companies located in the geographical area in which the company is located; and the international cluster (48.8% of the companies), a cluster of companies that interact with organizations and companies from abroad.
A multi-regression analysis revealed a descending hierarchy of influence of the clusters on revenue from sales: the local cluster has the highest effect (7.07), then the influence of the international cluster (4.5) and the lowest-impact Israeli cluster (2.2). This result is an indication that synergy characterized by high geographical proximity has a unique and empowering significance for the growth of the firm and the region. These synergetic processes simultaneously constitute an anchor that characterizes the innovative environment and attracts additional firms as well as a growth engine for the regional innovation system.
The study revealed that there are three layers that influence external interaction. In each of the layers there are conditions that encourage and inhibit the firm from collaborating with other organizations. The three levels maintain hierarchical relationships in a Macro-Meso-Micro Model.
In addition, the research points out different ways the state can play a significant role in creating conditions for the maturity of synergetic processes.