| Grant number: | 18/24381-7 |
| Support Opportunities: | Regular Research Grants |
| Start date: | June 01, 2019 |
| End date: | May 31, 2021 |
| Field of knowledge: | Engineering - Production Engineering - Production Management |
| Principal Investigator: | Moacir Godinho Filho |
| Grantee: | Moacir Godinho Filho |
| Host Institution: | Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil |
| City of the host institution: | São Carlos |
| Associated researchers: | Gilberto Miller Devós Ganga ; Glauco Henrique de Sousa Mendes |
Abstract
Companies need to commit to new product development (NPD) and innovation to maintain sustainable competition. An excellent indicator to measure technological change is the portfolio of startups, after all, these companies develop new-to-the-world products every day. They can benefit more from innovation because the have less rigid routines and greater adaptability to change. However, the sustainable of startups is very fragile. It is observed a high percentage of companies that are discontinued in a short period of time. Therefore, promoting actions that corrobore the new product success to be lauched by theses companies is fundamental. Startups should minimize the time to receive feedback from customers about the product to be successful. This implies that it is necessary for these companies to produce, measure and learn quickly. Being early can provide an important competitive advantage, making the acceleration of NPD a significant area for inquiry. Based on the above considerations, the objective of this study is to propose a framework for lead-time reduction in new product development of startups. To evaluate the relation of the time of new products development with the potencial of success of theses products, a systematic review of the literature was conducted at first. The systematic review has found that the research efforts in this area are fragmented and the focus is on one or two timeliness drivers. Therefore, it was observed the importance of systematizing this knowledge in constructs and correlating their possible interactions in a theoretical model. In addition, there is a gap in subjecting these constructs to rigorous empirical. Thus, to validate statiscally the formulated model, as well as investigate the adoption of these practices in startups, a survey was carried out in a sample of companies. With the fulfillment of the research objective, the proven and modern organizational best practices adopted by innovative companies can serve to guide future professionals in their journey of innovation. (AU)
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