
In the last decade, the use of artificial intelligence (AI) to promote entrepreneurial opportunities has grown, providing a strong platform for digitally enabled entrepreneurship. AI is advancing the progress of entrepreneurship by redefining and reshaping business and strategy and is a key element in enabling competitiveness and the ability of entrepreneurs to navigate uncertain environments (Olan, et al., 2024). Startup success is often portrayed as the result of a breakthrough idea or a single defining moment. Headlines celebrate unicorn valuations, rapid growth, and charismatic founders, creating the impression that success is sudden and inevitable once the right concept is discovered. In reality, startup success is the outcome of a complex interaction between strategy, execution, timing, resources, leadership, and learning. Understanding what truly makes startups successful requires moving beyond myths and examining the structural and behavioral factors that shape performance over time. Most startups operate under extreme uncertainty. Markets are unproven, customer needs are only partially understood, and resources are limited. In this environment, success is rarely linear. It emerges gradually through disciplined decision-making, adaptation, and the ability to align vision with operational reality.
Entrepreneurship/standards, Business activity, Artificial Intelligence, Entrepreneurship/trends, Entrepreneurship, Business, Business intelligence
Entrepreneurship/standards, Business activity, Artificial Intelligence, Entrepreneurship/trends, Entrepreneurship, Business, Business intelligence
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
