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Technology roadmap for the development of a 3D cell culture workstation for a biomedical industry startup

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  • Garza Ramos, Alejandro
  • Daim, Tugrul
  • Gaats, Lukas
  • Hutmacher, Dietmar W.
  • Hackenberger, David

Abstract

This paper is a first attempt to establish how technology roadmapping, commonly reserved for established organizations, can be adapted for the characteristics and limitations of a startup company. This work was performed in collaboration with a newly founded company to create a technology roadmap for devising a 3D cell culture solution for the fields drug discovery and in vitro disease models. Currently, published literature focuses mainly on the methodology and the application in mature companies and industries and overlooking novel technological multinationals. This paper on the other hand, provides a case of implementing a technology roadmap for a start up technology building product based on an emerging technology in an emerging industry. The paper outlines how it was adopted and implemented successfully in a startup company. The roadmapping process was intended to create a strategic plan that can illustrate to the investors how the acquired resources will be used to develop the product. Additionally, it aimed to assist the company in disclosing diverse gaps and prioritizing efforts and resources to face uncertainty while developing the product and the company. The widespread use of advanced manufacturing has reached the drug discovery and research domain. There is an emerging market with no dominant design; currently, no solution addresses the requirements of the research and industry segments.

Suggested Citation

  • Garza Ramos, Alejandro & Daim, Tugrul & Gaats, Lukas & Hutmacher, Dietmar W. & Hackenberger, David, 2022. "Technology roadmap for the development of a 3D cell culture workstation for a biomedical industry startup," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  • Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521006466
    DOI: 10.1016/j.techfore.2021.121213
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    References listed on IDEAS

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    1. Daim, Tugrul U. & Yoon, Byung-Sung & Lindenberg, John & Grizzi, Robert & Estep, Judith & Oliver, Terry, 2018. "Strategic roadmapping of robotics technologies for the power industry: A multicriteria technology assessment," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 49-66.
    2. Daim, Tugrul & Lai, Kuei Kuei & Yalcin, Haydar & Alsoubie, Fayez & Kumar, Vimal, 2020. "Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    3. Haydar Yalcin & Tugrul Daim, 2021. "Mining research and invention activity for innovation trends: case of blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3775-3806, May.
    4. Park, Hyunkyu & Phaal, Rob & Ho, Jae-Yun & O'Sullivan, Eoin, 2020. "Twenty years of technology and strategic roadmapping research: A school of thought perspective," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    5. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    6. Zeba, Gordana & Dabić, Marina & Čičak, Mirjana & Daim, Tugrul & Yalcin, Haydar, 2021. "Technology mining: Artificial intelligence in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    7. Han, Xiaotong & Zhu, Donghua & Lei, Ming & Daim, Tugrul, 2021. "R&D trend analysis based on patent mining: An integrated use of patent applications and invalidation data," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    8. Toro-Jarrín, Miguel Angel & Ponce-Jaramillo, Idalia Estefania & Güemes-Castorena, David, 2016. "Methodology for the of building process integration of Business Model Canvas and Technological Roadmap," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 213-225.
    9. Hansen, Christoph & Daim, Tugrul & Ernst, Horst & Herstatt, Cornelius, 2016. "The future of rail automation: A scenario-based technology roadmap for the rail automation market," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 196-212.
    10. Andrea Bonaccorsi & Silvia Giannangeli & Cristina Rossi, 2006. "Entry Strategies Under Competing Standards: Hybrid Business Models in the Open Source Software Industry," Management Science, INFORMS, vol. 52(7), pages 1085-1098, July.
    11. Vishnevskiy, Konstantin & Karasev, Oleg & Meissner, Dirk, 2015. "Integrated roadmaps and corporate foresight as tools of innovation management: The case of Russian companies," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 433-443.
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    Cited by:

    1. Lu, Hsi-Peng & Cheng, Hsiang-Ling & Tzou, Jen-Chuen & Chen, Chiao-Shan, 2023. "Technology roadmap of AI applications in the retail industry," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

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