Modeling The Effective Factors of Startup Platforms with Interpretive Structural Modeling
Publish place: 1st International Conference on Empowerment of Management, Industrial Engineering, Accounting and Economics
Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
MIAE01_0044
تاریخ نمایه سازی: 18 تیر 1402
Abstract:
Startups are businesses that are trying to find a successful and scalable business model. They are important to the economy but have a high failure rate due to many challenges and uncertainties. Startups are like a temporary team testing out different ideas to make a big business. Research investigated the factors influencing a platform startup business using Interpretive Structural Modelling. The association between the identified factors is established by employing an interpretive structural modeling methodology that is a multi-criteria decision making (MCDM) approach. Later, the MICMAC analysis is carried out for identifying the factors having high influential power. Internal factors are influential and level one in the analysis, while environmental factors such as political, cultural, economic, international, and legal have direct or indirect impacts on the business and require further investigation through more complex modeling.
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Authors
Mohammad Majidi Barzoki
Master Student, Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
Abbas Ghaderi Mehrabani
Master Student, Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran