Modeling Platform Business Growth Using Open Innovation and Agent-Based Approach

Journal of Systems Thinking in Practice

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 05 آذر 1404

نوع مقاله: Research Article

شناسه دیجیتال (DOI): 10.22067/jstinp.2025.95251.1175

نویسندگان

Reza Amerisiyahooei^{* 1}؛ Masoumeh Hosseinzadeh Shahri²

¹Postdoctoral Researcher, Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran

²Associate Professor, Department of management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran

چکیده

open innovation is increasingly recognized as a critical factor in the growth of platform businesses, while agent-based modeling offers a practical approach to explore development scenarios due to the complexity and dynamic nature of these businesses. In this study, agents are categorized into service receivers and service providers. Service receivers are further classified as interactive/analytical or normal/indifferent, whereas service providers are identified as active/interactive or normal/indifferent. These classifications consider all dimensions of participation and the operational environment of the platform.

Platform–agent interactions are modeled through attraction, facilitation, and adaptation mechanisms, while agent–agent interactions are defined based on positive or negative impacts. The model was designed using the Taguchi experimental design method (Qualitek software) to generate four-level scenarios for key indicators, including attraction capacity, networking and network management, knowledge and technical capacity, and collaborative capability. The scenarios were then simulated using Any Logic software.

Results indicate that the optimal levels for attraction, networking, and technical capacity correspond to the fourth level, while the third level is optimal for collaborative capability. The simulation further demonstrates that implementing the optimal scenario enhances overall platform performance, yielding a value of 0.957. These findings provide practical insights for managing platform-based businesses and contribute to a better understanding of integrating open innovation with agent-based modeling to optimize platform growth.

کلیدواژه‌ها

Scenario؛ Platform Development؛ Open Innovation؛ Agent-Based Simulation؛ Businesses development