Operational Mechanism of Industrial Technology Innovation Alliance Based on Game Theory: Basis for Strategic Plan
Published 07/02/2024
Keywords
- Industrial Technology Innovation Alliance; Game Theory Application; Technological Innovation; Strategic Collaboration; Risk Decision-Making
How to Cite
Copyright (c) 2024 The QUEST: Journal of Multidisciplinary Research and Development
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Abstract
This study aimed to investigate the operational mechanism of an Industrial Technology Innovation Alliance (ITIA) at Chongqing City Science and Technology College, employing game theory principles. The primary objective was to analyze and comprehend the dynamics of ITIA, focusing on enhancing technological innovation in the industrial sector. The study's specific objectives included describing key components of ITIA, such as membership, organizational structure, governance, innovation initiatives, and strategic collaborations. Additionally, it aimed to elucidate the application of game theory in decision-making processes among ITIA members, especially concerning interdependence, payoffs, incentives, and cooperative models. The study also examined risk decision-making processes within ITIA, including risk identification, assessment, treatment, strategies, negotiation, and resource allocation. Furthermore, it explored factors influencing the implementation of game theory within ITIA, such as organizational culture, resource availability, and information sharing. The research involved a quantitative descriptive design, with the fieldwork conducted at Chongqing City Science and Technology College, involving 130 ITIA members as respondents. The study's key findings revealed that ITIA demonstrated satisfactory engagement with members and stakeholders, supported by an organized structure and robust governance. While actively involved in innovation initiatives, there was room for improvement in strategic collaboration and partnerships. Application of game theory within ITIA was notably effective, particularly in analyzing interdependence, payoffs, and cooperative models. In risk decision-making, game theory proved effective in risk identification, assessment, treatment, strategies, negotiation, and resource allocation. Organizational culture, resource availability, and information sharing significantly supported game theory implementation within ITIA. Significant differences were found in respondents' perceptions of factors affecting game theory implementation, emphasizing the need for tailored strategies. Based on these findings, recommendations included proactive risk mitigation, integration of game theory into planning, training in game theory for negotiation teams, increased financial support, efficient information sharing, educational integration of game theory, funding for relevant research, collaboration with industry partners, and active member engagement.
References
- Annan, F. (2022). Misconduct and reputation under imperfect information. Available at SSRN 3691376.
- Amah, E., & Nwuche, C. A. (2013). The influence of size on corporate culture and organizational effectiveness in the Nigerian banking industry. International Journal of Business Administration, 4(5), 15.
- Axelsson, J. (2019). Game theory applications in systems-of-systems engineering: A literature review and synthesis. Procedia Computer Science, 153, 154-165.
- Domingo, A. (2023). Economic appraisal and strategic analysis of the onion industry in the Philippines. International Journal of ADVANCED AND APPLIED SCIENCES, 10(8), 78–90. https://doi.org/10.21833/ijaas.2023.08.009
- Domingo, A. (2023). The plight of the onion industry in the onion capital of the Philippines: Basis for intervention strategies. Asian Journal of Agriculture and Rural Development, 13(1), 66–74. https://doi.org/10.55493/5005.v13i1.4766
- Domingo, A. (2023). Mung bean production as a source of livelihood among farmers in a municipality in the Philippines: Challenges and opportunities. Asian Journal of Agriculture and Rural Development, 13(2), 130–137. https://doi.org/10.55493/5005.v13i2.4779
- Fang, F., Liu, S., Basak, A., Zhu, Q., Kiekintveld, C. D., & Kamhoua, C. A. (2021). Introduction to game theory. Game Theory and Machine Learning for Cyber Security, 21-46.
- Grzyl, B., Apollo, M., & Kristowski, A. (2019). Application of game theory to conflict management in a construction contract. Sustainability, 11(7), 1983.
- Jairak, K., & Praneetpolgrang, P. (2013). Applying IT governance balanced scorecard and importance-performance analysis for providing IT governance strategy in university. Information Management & Computer Security, 21(4), 228-249.
- Koster, R. (2013). Theory of fun for game design. " O'Reilly Media, Inc.".