Keywords
Operational Factors
Startup India
Financial Health
Innovation
Resilience
How to Cite
Abstract
Startups play a pivotal role in today’s economy by generating employment, introducing innovative products and services, and disrupting traditional industry models. Their long-term sustainability, however, is influenced by a combination of operational and demographic factors—both at the firm level and among founders. Startups face several persistent challenges, including rapid technological changes, shifting consumer preferences, market competition, limited resource availability, and evolving government regulations (Aquil, 2024). This study investigates the demographic and operational determinants of startup sustainability and evaluates the role of Information Technology (IT) adoption and digital infrastructure in enhancing their scalability and resilience. By identifying the key drivers of sustainability, the study aims to offer actionable insights that can support startup founders in approaching government agencies, incubation centers, and non-governmental organizations for strategic guidance and support. Primary data was collected through structured questionnaires distributed to 200 startup founders using simple random sampling. The findings explore how effective resource management, adaptive business models, and strategic planning contribute to the long-term success of startups in an increasingly dynamic entrepreneurial ecosystem.
References
Aquil, A., Mouallif, M., & Elgot, A. (2024). Identification and management of mental health distress in Moroccan patients with cancer: Strategies adopted by oncology nurses and barriers to practice. Cancer Reports, 7(4), e1985. https://doi.org/10.1002/cnr2.1985
Carlos Rios-Campos, & Guerrero Zambrano, E. O., et al. (2024). Startups and artificial intelligence. Journal of Emerging Technologies, 5(2), 950–969. ISSN: 2675-5459. https://doi.org/10.46932/sfjdv5n2-042
Chalmers, D., MacKenzie, N. G., & Carter, S. (2021). Artificial intelligence and entrepreneurship: Implications for venture creation and entrepreneurial ecosystems. International Journal of Entrepreneurial Behavior & Research, 27(1), 15–33. https://doi.org/10.1108/IJEBR-05-2021-0426
Darwish, S., Ibrahim, S., & Taha, A. (2020). Artificial Intelligence Adoption and Startup Success Rates: An Empirical Study. International Journal of Research and Innovation in Social Science (IJRISS), 4(6). Retrieved from https://rsisinternational.org/journals/ijriss/articles/artificial-intelligence-ai-adoption-and-startup-success-rates/
Jenish, P., & Nisarg, S. (2021). A study on start-up and its impact on MSME in India. International Journal of Research Publication and Reviews, 4(6). ISSN (Online): 2581-5792.
Giuggioli, G., & Pellegrini, M. M. (2023). Artificial intelligence as an enabler for entrepreneurs: a systematic literature review and an agenda for future research. International Journal of Entrepreneurial Behavior & Research, 29(4), 816-837. https://doi.org/10.1108/IJEBR-05-2021-0426
Kraus, S., Palmer, C., Kailer, N., Kallinger, F. L., & Spitzer, J. (2020). Digital entrepreneurship: A research agenda on new business models for the twenty-first century. International Journal of Entrepreneurial Behavior & Research, 26(2), 437–455. https://doi.org/10.1108/IJEBR-06-2019-0390
Obschonka, M., & Audretsch, D. B. (2020). Artificial intelligence and big data in entrepreneurship: A new era. Small Business Economics, 55(3), 529–539. https://doi.org/10.1007/s11187-019-00202-4
Press Information Bureau. (2023). Startup India Initiative: Progress and Achievements. Government of India. Retrieved from https://pib.gov.in/PressReleasePage.aspx?PRID=1884267
Shivhare, S., Nupur, V., & Shunmugasundaram. (2023). Startup sustainability based on government, technology, and market: Empirical study mediation of performance & satisfaction. Indian Journal of Finance and Banking, 13(1), 63–77. https://doi.org/10.46281/ijfb.v13i1.1976
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