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Determinant factors of lean start-up-based incubation metrics on post-incubation start-up viability: case-based study

Iwan Iwut Tritoasmoro (Interdisciplinary School of Management and Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia and School of Electrical Engineering, Telkom University, Bandung, Indonesia)
Udisubakti Ciptomulyono (Interdisciplinary School of Management and Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia)
Wawan Dhewanto (School of Business and Management, Institut Teknologi Bandung, Bandung, Indonesia)
Tatang Akhmad Taufik (Interdisciplinary School of Management and Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia)

Journal of Science and Technology Policy Management

ISSN: 2053-4620

Article publication date: 13 September 2022

126

Abstract

Purpose

This paper aims to investigate the effect of business incubation metrics based on an adaptation of the lean start-up (LS) framework on start-up survival after incubation. This study also analyzes the obstacles in implementing the LS framework as incubation metrics.

Design/methodology/approach

This study uses mixed methods. Quantitative research using multiple linear regression was applied to the data of 30 start-ups incubated at Bandung Techno Park for the 2014–2017 period and survival tracking data after the incubation. A qualitative approach to complete the explanatory work was conducted through in-depth interviews with 12 respondents, including start-up graduates from the incubation program, program managers and mentors.

Findings

This study confirms that several LS incubation metrics significantly affect start-up sustainability after incubation. In addition, this study also explains several problems in applying the LS discipline that needs attention to increase incubation success.

Research limitations/implications

Research was conducted only at one technology business incubator (TBI) model that focuses on digital start-ups in the emerging ecosystem. Research results can be biased in different situations and ecosystems.

Practical implications

The explanation of the relationship of LS-based incubation metrics to the survival of start-ups, as well as the challenges of their implementation, can be a reference for TBI management to consider and prioritize intervention strategies, thereby improving TBI’s business processes and increasing the success rate of incubated start-ups.

Social implications

The creation of university start-ups and spin-offs has become a key performance indicator mandatory for technology universities in Indonesia. The existence of TBI institutions in universities as channels of technology commercialization is essential. The incubator’s success in creating a new technology-based company will have a significant social impact on the surrounding environment.

Originality/value

Although the LS method is popular in start-up communities and among practitioners, it is rarely used in the incubation process at universities. These results can be considered for university TBIs to explore LS as an incubation management tool to increase the success rate of incubated start-ups.

Keywords

Acknowledgements

The authors would like to thank Prof Dr Maman Abdurohman from BTP, Telkom University, for his support for this research work. The authors would also like to thank all the participants for their enthusiastic participation in this study.

Citation

Tritoasmoro, I.I., Ciptomulyono, U., Dhewanto, W. and Taufik, T.A. (2022), "Determinant factors of lean start-up-based incubation metrics on post-incubation start-up viability: case-based study", Journal of Science and Technology Policy Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JSTPM-12-2021-0187

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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