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A social cognitive perspective in innovation ecosystems: Understanding startups from ideation to consolidation in industry 4.0 era

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  • Kai, Dalton Alexandre
  • Pinheiro de Lima, Edson
  • Benitez, Guilherme Brittes

Abstract

This research explores how startups oriented to Industry 4.0 mature their concepts, products, and business across evolutionary lifecycles in the innovation ecosystem. We examine how startups mature their business by through four lifecycle stages: Ideation, MVP, Traction, and Consolidation, by collaborating with other actors in the innovation ecosystem. We adopt a social cognitive perspective using its four core properties: intentionally, forethought, self-reactiveness, and self-reflectiveness to explain how startups acquire knowledge to become self-effective in mastering skills and competencies required to develop their solutions. We employ a qualitative and longitudinal case study spanning five years within an innovation ecosystem, including more than 30 follow-up sessions, 27 semi-structured interviews, and a survey with 120 startups. Our findings reveal that startups in their initial stages exhibit more open, transparent, and exploratory behavior towards ecosystem actors. As they evolve, they become more specific and formal throughout their lifecycle, interacting, co-creating, and adding value among various groups or stakeholders, ultimately reaching a multi-sided platform governance structure. We also present a framework illustrating how startups typically relate to other ecosystem actors to mature their businesses. Our results can help entrepreneurs overcome the stages of a startup's lifecycle and achieve consolidation in the market.

Suggested Citation

  • Kai, Dalton Alexandre & Pinheiro de Lima, Edson & Benitez, Guilherme Brittes, 2024. "A social cognitive perspective in innovation ecosystems: Understanding startups from ideation to consolidation in industry 4.0 era," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    • Handle: RePEc:eee:tefoso:v:209:y:2024:i:c:s0040162524003901
    DOI: 10.1016/j.techfore.2024.123592
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    1. Lago, Nicole Cecchele & Marcon, Arthur & Ribeiro, Jose Luis Duarte & Olteanu, Yasmin & Fichter, Klaus, 2023. "The role of cooperation and technological orientation on startups' innovativeness: An analysis based on the microfoundations of innovation," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    2. Oe, Akitsu & Mitsuhashi, Hitoshi, 2013. "Founders' experiences for startups' fast break-even," Journal of Business Research, Elsevier, vol. 66(11), pages 2193-2201.
    3. Ghezzi, Antonio, 2020. "How Entrepreneurs make sense of Lean Startup Approaches: Business Models as cognitive lenses to generate fast and frugal Heuristics," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. John-Christopher Spender & Vincenzo Corvello & Michele Grimaldi & Pierluigi Rippa, 2017. "Startups and open innovation: a review of the literature," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 20(1), pages 4-30, January.
    5. Zaheer, Hasnain & Breyer, Yvonne & Dumay, John & Enjeti, Mahesh, 2022. "The entrepreneurial journeys of digital start-up founders," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    6. Hagiu, Andrei & Wright, Julian, 2015. "Multi-sided platforms," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 162-174.
    7. Reynolds, Elisabeth B. & Uygun, Yilmaz, 2018. "Strengthening advanced manufacturing innovation ecosystems: The case of Massachusetts," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 178-191.
    8. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    9. Oliva, Fábio Lotti & Teberga, Pedro Marins Freire & Testi, Lucas Israel Oliveira & Kotabe, Masaaki & Giudice, Manlio Del & Kelle, Peter & Cunha, Miguel Pina, 2022. "Risks and critical success factors in the internationalization of born global startups of industry 4.0: A social, environmental, economic, and institutional analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    10. Müller, Julian Marius & Buliga, Oana & Voigt, Kai-Ingo, 2018. "Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 2-17.
    11. Maksim Malyy & Zeljko Tekic & Tatiana Podladchikova, 2021. "The value of big data for analyzing growth dynamics of technology based new ventures," Papers 2104.03053, arXiv.org.
    12. Sanasi, Silvia & Ghezzi, Antonio & Cavallo, Angelo, 2023. "What happens after market validation? Experimentation for scaling in technology-based startups," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    13. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    14. Scaringella, Laurent & Radziwon, Agnieszka, 2018. "Innovation, entrepreneurial, knowledge, and business ecosystems: Old wine in new bottles?," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 59-87.
    15. Eiteneyer, Nils & Bendig, David & Brettel, Malte, 2019. "Social capital and the digital crowd: Involving backers to promote new product innovativeness," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    16. Paschen, Jeannette, 2017. "Choose wisely: Crowdfunding through the stages of the startup life cycle," Business Horizons, Elsevier, vol. 60(2), pages 179-188.
    17. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    18. Enkel, Ellen & Sagmeister, Veronika, 2020. "External corporate venturing modes as new way to develop dynamic capabilities," Technovation, Elsevier, vol. 96.
    19. Frederiks, Arjan J. & Englis, Basil G. & Ehrenhard, Michel L. & Groen, Aard J., 2019. "Entrepreneurial cognition and the quality of new venture ideas: An experimental approach to comparing future-oriented cognitive processes," Journal of Business Venturing, Elsevier, vol. 34(2), pages 327-347.
    20. Kahle, Júlia Hofmeister & Marcon, Érico & Ghezzi, Antonio & Frank, Alejandro G., 2020. "Smart Products value creation in SMEs innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    21. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    22. Mrkajic, Boris, 2017. "Business incubation models and institutionally void environments," Technovation, Elsevier, vol. 68(C), pages 44-55.
    23. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Frank Werner & Marina Ivanova, 2016. "A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 386-402, January.
    24. repec:hal:journl:hal-04811446 is not listed on IDEAS
    25. Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro G., 2020. "Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation," International Journal of Production Economics, Elsevier, vol. 228(C).
    26. Del Sarto, Nicola & Cruz Cazares, Claudio & Di Minin, Alberto, 2022. "Startup accelerators as an open environment: The impact on startups’ innovative performance," Technovation, Elsevier, vol. 113(C).
    27. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
    28. Marcon, Arthur & Ribeiro, Jose Luis Duarte, 2021. "How do startups manage external resources in innovation ecosystems? A resource perspective of startups’ lifecycle," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    29. Muhammad Usman & Wim Vanhaverbeke, 2017. "How start-ups successfully organize and manage open innovation with large companies," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 20(1), pages 171-186, January.
    30. Gerd J. Hahn, 2020. "Industry 4.0: a supply chain innovation perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1425-1441, March.
    31. Benitez, Guilherme Brittes & Ghezzi, Antonio & Frank, Alejandro G., 2023. "When technologies become Industry 4.0 platforms: Defining the role of digital technologies through a boundary-spanning perspective," International Journal of Production Economics, Elsevier, vol. 260(C).
    32. Song, Geunhye & Min, Sujin & Lee, Seungmin & Seo, Yongseok, 2017. "The effects of network reliance on opportunity recognition: A moderated mediation model of knowledge acquisition and entrepreneurial orientation," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 98-107.
    33. Virmani, Naveen & Sharma, Shikha & Kumar, Anil & Luthra, Sunil, 2023. "Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    34. Nobuya Fukugawa, 2018. "Is the impact of incubator’s ability on incubation performance contingent on technologies and life cycle stages of startups?: evidence from Japan," International Entrepreneurship and Management Journal, Springer, vol. 14(2), pages 457-478, June.
    35. König, Marc & Ungerer, Christina & Baltes, Guido & Terzidis, Orestis, 2019. "Different patterns in the evolution of digital and non-digital ventures' business models," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 844-852.
    36. Le, Huong Van & Suh, Min-ho, 2019. "Changing trends in internet startup value propositions, from the perspective of the customer," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 853-864.
    37. Chung, Doohee & Jung, Haejun & Lee, Yunjeong, 2022. "Investigating the relationship of high-tech entrepreneurship and innovation efficacy: The moderating role of absorptive capacity," Technovation, Elsevier, vol. 111(C).
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