Presenting a Model of Constructive Interaction between University and Industry Knowledge-Creating Centers

The present research was conducted to provide a model of constructive interaction between knowledge-creating centers of university and industry.

This research was conducted using a qualitative approach (foundation data). By using the data foundation technique, the components of the pattern were determined and finalized by interviewing the informants who were selected as a purposeful sampling in the form of 883 open codes, 37 core codes and 12 optional codes or categories. The software used for data analysis was MAXQDA software. Finally, a qualitative model is presented based on the research findings.

The research findings showed that the most important components of contextual factors include: communication factors, growth factors, types of interaction, goals of constructive interaction, basic goals of knowledge centers and strategic factors including: creation of market environments based on innovation, strategies Policy, organizational strategies, knowledge-based strategies. Causal conditions include: environmental factors, collective factors, industry-related factors. Consequence factors include: ensuring sustainable development, business growth, innovative and entrepreneurial growth.

Finally, the most important intervening factors include; Shared intervenors are intrasystem intervenors of industry and intrasystem intervenors of knowledge centers.