Khomenko V.V.Tatarstan Academy of Sciences (TAS), Kazan, Republic of Tatarstan, Russian Federation ispnecon@mail.ru ORCID id: not available
Subject This article considers small innovative enterprises aimed at high-tech science-intensive production as a mechanism of increasing the stability of the entire regional economic system. Objectives The article aims to determine the minimum and maximum expedient investment in the portfolio of innovative projects. Methods For the study, we used the critical path method. Results The article presents a developed authors' approach to the network planning of portfolio investment of innovative projects of the regional petrochemical cluster. As well, it offers algorithms of estimation of probability of realization of all interrelated projects within the specified budget and estimation of maximum possible amount of financing of execution of all complex of works with given probability. The results of the work are accompanied by examples of using the sectoral method and potential method in the network planning of portfolio investment of innovative projects. Conclusions The solution of this problem described will help reduce investment risks.
Dyllick T., Muff K. Clarifying the Meaning of Sustainable Business: Introducing a Typology from Business-as-Usual to True Business Sustainability. Organization & Environment, 2016, vol. 29, iss. 2, pp. 156–174. URL: Link
Scott N.Ambidextrous Strategies and Innovation Priorities: Adequately Priming the Pump for Continual Innovation. Technology Innovation Management Review, 2014, July, pp. 44–51. URL: Link
Chen Y. Dynamic Ambidexterity: How Innovators Manage Exploration and Exploitation. Business Horizons, 2017, vol. 60, iss. 3, pp. 385–394. URL: Link
Yun J.J., Won D.K., Jeong E.S. et al. The Relationship between Technology, Business Model, and Market in Autonomous Car and Intelligent Robot Industries. Technological Forecasting and Social Change, 2016, vol. 103, pp. 142–155. URL: Link
Yun J.J., Won D.K., Park K. Dynamics from Open Innovation to Evolutionary Change. Journal of Open Innovation: Technology, Market, and Complexity, 2016, vol. 2, iss. 7. URL: Link
Yun J.J., Yang J., Park K. Open Innovation to Business Model: New Perspective to Connect between Technology and Market. Science, Technology and Society, 2016, vol. 21, iss. 3, pp. 324–348. URL: Link
Halicka K. Innovative Classification of Methods of the Future-Oriented Technology Analysis. Technological and Economic Development of Economy, 2016, vol. 22, no. 4, pp. 574–597. URL: Link
Colombelli A., Krafft J., Quatraro F. High-Growth Firms and Technological Knowledge: Do Gazelles Follow Exploration or Exploitation Strategies? Industrial and Corporate Change, 2014, vol. 23, iss. 1, pp. 261–291. URL: Link
Guisado-González M., González-Blanco J., Coca-Pérez J.L. Analyzing the Relationship between Exploration, Exploitation and Organizational Innovation. Journal of Knowledge Management, 2017, vol. 21, iss. 5, pp. 1142–1162. URL: Link
Zacher H., Rosing K.Ambidextrous Leadership and Team Innovation. Leadership & Organization Development Journal, 2015, vol. 36, iss. 1, pp. 54–68. URL: Link
Zhang J.A., Edgar F., Geare A., O'Kane C. The Interactive Effects of Entrepreneurial Orientation and Capability-Based HRM on Firm Performance: The Mediating Role of Innovation Ambidexterity. Industrial Marketing Management, 2016, vol. 59, pp. 131–143. URL: Link
Vrontis D., Thrassou A., Santoro G., Papa A. Ambidexterity, External Knowledge and Performance in Knowledge-Intensive Firms. The Journal of Technology Transfer,2017, vol. 42, iss. 2, pp. 374–388. URL: Link
Sheng M.L. A Dynamic Capabilities-Based Framework of Organizational Sensemaking through Combinative Capabilities towards Exploratory and Exploitative Product Innovation in Turbulent Environments. Industrial Marketing Management, 2017, vol. 65, pp. 28–38. URL: Link
Dong J.Q., Netten J. Information Technology and External Search in the Open Innovation Age: New Findings from Germany. Technological Forecasting and Social Change,2017, vol. 120, pp. 223–231. URL: Link
Han J. Exploitation of Architectural Knowledge and Innovation. Journal of Open Innovation: Technology, Market, and Complexity,2017, vol. 3, iss. 15. URL: Link
Ardito L., Petruzzelli A.M., Peruffo E., Pascucci F. Inter-firm R&D Collaborations and Green Innovation Value: The Role of Family Firms' Involvement and the Moderating Effects of Proximity Dimensions. Business Strategy and the Environment, 2019, vol. 28, iss. 1, pp. 185–197. URL: Link
Dubickis M., Gaile-Sarkane E. Transfer of Know-How Based on Learning Outcomes for Development of Open Innovation. Journal of Open Innovation: Technology, Market, and Complexity,2017, vol. 3, iss. 4. URL: Link
Beilin I.L., Arkhireev V.P. The Supermolecular Structure of New Copolymer Products Based on Cyclic Carbonates. International Polymer Science and Technology, 2011, vol. 38, no. 1, pp. 37–40. URL: Link
Beilin I.L. Analysis of Efficiency of the Innovative Project in the Field of Chemistry Fuzzy Logic. Journal of Economics and Economic Education Research, 2016, vol. 17, Special iss. 3, pp. 177–185. URL: Link