Abstract
Startups sector, especially those more technological, but also those who have contributed new business models, has led to and driven innovation and growth in recent economic history. At the same time, it is well recognized that while overall startup contribution is crucial, the high risk and reward strategy followed by these startups has significant failure rates, with mortality rates around 90% before three years and a low proportion of successful startups. Despite this high percentage of failures, the literature tends to focus on successful startups and quantitative studies that seek determinants of success, but the literature is also starting to appear lately, the many lessons behind failure by examining the stories of failed initiatives. Entrepreneurial strategy can be described by different frameworks and different dimensions, and despite all the literature in the startups topic, we find a gap identified in the creation of a model that helps to follow a structured business development strategy in the early stage, learning to prioritize efforts based on right decisions in its strategy to enable the company to survive the early stage. This work aims to fill this gap and contribute to the literature by providing scalable, repeatable methodology that can be applied to databases of both failed and successful startups that passed the early stage to jump into the growth stage.
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Font Cot, F., Lara Navarra, P., Serradell-López, E. (2021). An Integrative Framework for Startups at Early Stage: Promoting Evidence-Based Design and Evaluation in Early Stage Startups. In: Visvizi, A., Lytras, M.D., Aljohani, N.R. (eds) Research and Innovation Forum 2020. RIIFORUM 2020. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-62066-0_34
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