Providing an open innovation model for high-tech startups in the unit of industries related to information technology

Nafisi, Firoozeh; Mohammad Kazemi, Reza

doi:10.22075/ijnaa.2023.29764.4339

Providing an open innovation model for high-tech startups in the unit of industries related to information technology

Document Type : Research Paper

Authors

Firoozeh Nafisi

Reza Mohammad Kazemi

Faculty of Entrepreneurship, University of Tehran, Tehran, Iran

10.22075/ijnaa.2023.29764.4339

Abstract

This study aims to provide an open innovation model for hi-tech startups in the unit of industries related to information technology (IT). The research method of the present study is mixed and it is done with two types of qualitative and quantitative (mixed) approaches. In the qualitative part of the research, in order to collect data, interview questions were developed. In the following, the ISM questionnaire and the researcher-made questionnaire with a 5-point Likert scale were used. The statistical population in the qualitative and ISM sections consisted of 10 qualified experts who were selected using the purposeful and non-probability sampling method and in-depth and semi-structured interviews were conducted with them. The first step of the current study is to identify the main and sub-categories of the research by using the method of qualitative analysis of the theme (the approach of editing interviews, summarizing them and interpreting concepts and words). MAXQDA software was used for qualitative analysis. Then, in the second and quantitative part of the research, the structural-interpretive modeling method and MICMAC software were used to identify the causal relationships between the main categories of the research. In total, the pattern obtained consists of 10 main themes. The results showed that the strategic management of open innovation, investment and financing, and information technology infrastructure affect technology development in services and products and innovative leadership. Innovative leadership and technology development have an effect on knowledge management and human resource empowerment and lead to the participation of startups in open innovation and improving competence of startups. Through improving the competence and participation of hi-tech startups, it is finally possible to achieve open innovation.

Keywords

Open innovation model

high-tech startups

IT-related industries

hybrid approach

[1] P. Adler, R. Florida, K. King, and C. Mellander, The city and high-tech startups: The spatial organization of Schumpeterian entrepreneurship, Cities 87 (2019), 121–130.

[2] G. Barrett, L. Dooleye, and J. Bogue, Open innovation within high-tech SMEs: A study of the entrepreneurial founder’s influence on open innovation practices, Technovation 103 (2021), 102232.

[3] X. Chen, Z. Liu, and Q. Zhu, Reprint of” Performance evaluation of China’s high-tech innovation process: Analysis based on the innovation value chain”, Technovation 94 (2020), 102094.

[4] D. Chung, H. Jung, and Y. Lee, Investigating the relationship of high-tech entrepreneurship and innovation efficacy: The moderating role of absorptive capacity, Technovation 111 (2022), 102393.

[5] V.F. De Faria, V.P. Santos, and F.H. Zaidan, The business model innovation and lean startup process supporting startup sustainability, Procedia Comput. Sci. 181 (2021), 93–101.

[6] N. Foster, A. Zandiatashbar, and S. Hamidi, High-tech business location, transportation accessibility, and implications for sustainability: Evaluating the differences between high-tech specializations using empirical evidence from us booming regions, Sustain. Cities Soc. 50 (2019), 101648.

[7] X. Luo, F. Huang, X. Tang, and J. Li, Government subsidies and firm performance: Evidence from high-tech start-ups in China, Emerg. Markets Rev. 49 (2021), 100756.

[8] T. H. Malik, T. Xiang, and C. Huo, The transformation of national patents for high-technology exports: Moderating effects of national cultures, Int. Bus. Rev. 30 (2021), no. 1, 101771.

[9] H. Moghdisi, Startup networks and presentation of political strategies, J. Politic. Media History 3 (2019), no. 10, 103–124.

[10] R. Nadafi and M. Ahmadvand, Identifying and prioritizing drivers of new business development (startups), Entrepreneur. Dev. Quart. 10 (2016), no. 4, 517–534.

[11] N. Nowrozpour, A. Ebrahimi, H. Vali-Beigi, and H. Dedekhani, Export development strategies of single industries of Iran using performance-importance analysis, Sci. Res. Quart. Econ. Strategy 9 (2019), no. 32, 39–73.

[12] M.O. Parvez, Use of machine learning technology for tourist and organizational services: high-tech innovation in the hospitality industry, J. Tourism Futures 7 (2020), no. 2, 240–244.

[13] P. Ritala, V. Agouridas, D. Assimakopoulos, and O. Gies, Value creation and capture mechanisms in innovation ecosystems: a comparative case study, Int. J. Technol. Mana. 63 (2013), no. 3-4, 244–267.

[14] N. Del Sarto, D.A. Isabelle, and A. Di Minin, The role of accelerators in firm survival: An fsQCA analysis of Italian startups, Technovation 90 (2020), 102102.

[15] Y. Song, C. Yu, L. Hao, and X. Chen, Path for China’s high-tech industry to participate in the reconstruction of global value chains, Technol. Soc. 65 (2021), 101486.

[16] D.M. Sullivan, M.R. Marvel, and M.T. Wolfe, With a little help from my friends? how learning activities and network ties impact performance for high tech startups in incubators, Technovation 101 (2021), 102209.

[17] S. L. Suni, V. Z. Chen, S. A. Sunny, and J. Chen, Venture capital as an innovation ecosystem engineer in an emerging market, Int. Bus. Rev. 28 (2019), no. 5, 101485.

[18] J. Trischler, M. Johnson, and P. Kristensson, A service ecosystem perspective on the diffusion of sustainability-oriented user innovations, J. Bus. Res. 116 (2020), 552–560.

[19] Y. Wang, J. F. Pan, R. Pei, B. W. Yi, and G. L. Yang, Assessing the technological innovation efficiency of China’s high-tech industries with a two-stage network DEA approach, Socio-Econ. Plann. Sci.71 (2020), 100810.

[20] S.S. Xiao, Y.K. Lew, and B.I. Park, International new product development performance, entrepreneurial capability, and network in high-tech ventures, J. Bus. Res.124 (2021), 38–46.

[21] M. Yang and J. X. Wang, Marine high-tech enterprise ecosystem based on sustainable development, Sustainable Comput.: Inf. Syst. 28 (2020), 100399.