IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03685241.html
   My bibliography  Save this paper

Evaluation of tech ventures' evolving business models: rules for performance-related classification

Author

Listed:
  • Marc König

    (KIT - Karlsruhe Institute of Technology = Karlsruher Institut für Technologie)

  • Manon Enjolras

    (ERPI - Equipe de Recherche sur les Processus Innovatifs - UL - Université de Lorraine)

  • Christina Ungerer

    (Konstanz University of Applied Sciences, IST Institute for Strategic Innovation and Technology Management)

  • Mauricio Camargo

    (ERPI - Equipe de Recherche sur les Processus Innovatifs - UL - Université de Lorraine)

  • Guido Baltes

    (Konstanz University of Applied Sciences, IST Institute for Strategic Innovation and Technology Management)

Abstract

At the early stage of a successful tech venture's life cycle, it is assumed that the business model will evolve to higher quality over time. However, there are few empirical insights into business model evolution patterns for the performance-related classification of early-stage tech ventures. We created relevant variables evaluating the evolution of the venture-centric network and the technological proposition of both digital and non-digital ventures' business models using the text of submissions to the official business plan award in the German State of Baden-Württemberg between 2006 and 2012. Applying a principal component analysis/rough set theory mixed methodology, we explore performance-related business model classification rules in the heterogeneous sample of business plans. We find that ventures need to demonstrate real interactions with their customers' needs to survive. The distinguishing success rules are related to patent applications, risk capital, and scaling of the organisation. The rules help practitioners to classify business models in a way that allows them to prioritise action for performance.

Suggested Citation

  • Marc König & Manon Enjolras & Christina Ungerer & Mauricio Camargo & Guido Baltes, 2022. "Evaluation of tech ventures' evolving business models: rules for performance-related classification," Post-Print hal-03685241, HAL.
    • Handle: RePEc:hal:journl:hal-03685241
    DOI: 10.1504/IJEV.2022.122639
    Note: View the original document on HAL open archive server: https://hal.science/hal-03685241
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03685241/document
    Download Restriction: no
    File URL: https://libkey.io/10.1504/IJEV.2022.122639?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    2. Peki Oksanen & Jukka Hallikas & Heli Sissonen, 2010. "The evolution of value networks," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 7(4), pages 381-398.
    3. Rafael Fernández-Guerrero & Lorenzo Revuelto-Taboada & Virginia Simón-Moya, 2012. "The business plan as a project: an evaluation of its predictive capability for business success," The Service Industries Journal, Taylor & Francis Journals, vol. 32(15), pages 2399-2420, January.
    4. Brinckmann, Jan & Grichnik, Dietmar & Kapsa, Diana, 2010. "Should entrepreneurs plan or just storm the castle? A meta-analysis on contextual factors impacting the business planning-performance relationship in small firms," Journal of Business Venturing, Elsevier, vol. 25(1), pages 24-40, January.
    5. Anna-Greta Nyström & Miia Mustonen, 2017. "The dynamic approach to business models," AMS Review, Springer;Academy of Marketing Science, vol. 7(3), pages 123-137, December.
    6. Marianna Succurro & Giuseppe Arcuri & Giuseppina Damiana Costanzo, 2019. "A combined approach based on robust PCA to improve bankruptcy forecasting," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 18(2), pages 296-320, May.
    7. Carpenter, Robert E. & Guariglia, Alessandra, 2008. "Cash flow, investment, and investment opportunities: New tests using UK panel data," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1894-1906, September.
    8. Murphy, Gregory B. & Trailer, Jeff W. & Hill, Robert C., 1996. "Measuring performance in entrepreneurship research," Journal of Business Research, Elsevier, vol. 36(1), pages 15-23, May.
    9. Shane, Scott & Delmar, Frederic, 2004. "Planning for the market: business planning before marketing and the continuation of organizing efforts," Journal of Business Venturing, Elsevier, vol. 19(6), pages 767-785, November.
    10. Maureen Kilkenny & Nerys Fuller-Love, 2014. "Network analysis and business networks," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 21(3), pages 303-316.
    11. McKenzie, David & Sansone, Dario, 2019. "Predicting entrepreneurial success is hard: Evidence from a business plan competition in Nigeria," Journal of Development Economics, Elsevier, vol. 141(C).
    12. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 2001. "Rough sets theory for multicriteria decision analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 1-47, February.
    13. Crawford, G. Christopher & Aguinis, Herman & Lichtenstein, Benyamin & Davidsson, Per & McKelvey, Bill, 2015. "Power law distributions in entrepreneurship: Implications for theory and research," Journal of Business Venturing, Elsevier, vol. 30(5), pages 696-713.
    14. Diane M. Sullivan & Cameron M. Ford, 2014. "How Entrepreneurs use Networks to Address Changing Resource Requirements during Early Venture Development," Entrepreneurship Theory and Practice, , vol. 38(3), pages 551-574, May.
    15. Andrew Burke & Stuart Fraser & Francis J. Greene, 2010. "The Multiple Effects of Business Planning on New Venture Performance," Journal of Management Studies, Wiley Blackwell, vol. 47(3), pages 391-415, May.
    16. Marianna Succurro & Giuseppe Arcuri & Giuseppina Damiana Costanzo, 2019. "A combined approach based on robust PCA to improve bankruptcy forecasting," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 18(2), pages 296-320, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Marko Matalamäki & Tero Vuorinen & Elina Varamäki & Kirsti Sorama, 2017. "Business Growth in Established Companies; Roles of Effectuation and Causation," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 25(02), pages 123-148, June.
    3. Anna Long & Matthew S. Wood & Daniel L. Bennett, 2023. "Entrepreneurial organizing activities and nascent venture performance," Small Business Economics, Springer, vol. 60(2), pages 433-461, February.
    4. Giovanna Mariani & Davide Morelli & Leonardo Bartoloni, 2019. "Managing uncertainty in the start-up environment. Is a business plan an incentive or a limitation?," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2019(1), pages 73-96.
    5. Sullivan, Diane M. & Marvel, Matthew R. & Wolfe, Marcus T., 2021. "With a little help from my friends? How learning activities and network ties impact performance for high tech startups in incubators," Technovation, Elsevier, vol. 101(C).
    6. Roland Helm & Oliver Mauroner & Kendra Pöhlmann, 2018. "Towards a better understanding of performance measurements: the case of research-based spin-offs," Review of Managerial Science, Springer, vol. 12(1), pages 135-166, January.
    7. Honig, Benson & Samuelsson, Mikael, 2021. "Business planning by intrapreneurs and entrepreneurs under environmental uncertainty and institutional pressure," Technovation, Elsevier, vol. 99(C).
    8. Antje Schmitt & Kathrin Rosing & Stephen X. Zhang & Michael Leatherbee, 2018. "A Dynamic Model of Entrepreneurial Uncertainty and Business Opportunity Identification: Exploration as a Mediator and Entrepreneurial Self-Efficacy as a Moderator," Entrepreneurship Theory and Practice, , vol. 42(6), pages 835-859, November.
    9. Marco Caliendo & Alexander S. Kritikos & Claudia Stier, 2023. "The influence of start-up motivation on entrepreneurial performance," Small Business Economics, Springer, vol. 61(3), pages 869-889, October.
    10. Susan Müller & Alyssa Lara Kirst & Heiko Bergmann & Barbara Bird, 2023. "Entrepreneurs’ actions and venture success: a structured literature review and suggestions for future research," Small Business Economics, Springer, vol. 60(1), pages 199-226, January.
    11. Mayer-Haug, Katrin & Read, Stuart & Brinckmann, Jan & Dew, Nicholas & Grichnik, Dietmar, 2013. "Entrepreneurial talent and venture performance: A meta-analytic investigation of SMEs," Research Policy, Elsevier, vol. 42(6), pages 1251-1273.
    12. Shige Makino & Christine M. Chan, 2017. "Skew and heavy-tail effects on firm performance," Strategic Management Journal, Wiley Blackwell, vol. 38(8), pages 1721-1740, August.
    13. Honig, Benson & Samuelsson, Mikael, 2014. "Data replication and extension: A study of business planning and venture-level performance," Journal of Business Venturing Insights, Elsevier, vol. 1, pages 18-25.
    14. Chwolka, Anne & Raith, Matthias G., 2012. "The value of business planning before start-up — A decision-theoretical perspective," Journal of Business Venturing, Elsevier, vol. 27(3), pages 385-399.
    15. Tristan Boyer & Régis Blazy, 2014. "Born to be alive? The survival of innovative and non-innovative French micro-start-ups," Small Business Economics, Springer, vol. 42(4), pages 669-683, April.
    16. Ari Hyytinen & Petri Rouvinen & Mika Pajarinen & Joosua Virtanen, 2023. "Ex Ante Predictability of Rapid Growth: A Design Science Approach," Entrepreneurship Theory and Practice, , vol. 47(6), pages 2465-2493, November.
    17. Yi Jiang & Charles-Clemens Rüling, 2019. "Opening the Black Box of Effectuation Processes: Characteristics and Dominant Types," Entrepreneurship Theory and Practice, , vol. 43(1), pages 171-202, January.
    18. Alexander McKelvie & Johan Wiklund, 2010. "Advancing Firm Growth Research: A Focus on Growth Mode Instead of Growth Rate," Entrepreneurship Theory and Practice, , vol. 34(2), pages 261-288, March.
    19. Andrew Godley & Norbert Morawetz & Lebene Soga, 2021. "The complementarity perspective to the entrepreneurial ecosystem taxonomy," Small Business Economics, Springer, vol. 56(2), pages 723-738, February.
    20. Katrin M. Smolka & Ingrid Verheul & Katrin Burmeister–Lamp & Pursey P.M.A.R. Heugens, 2018. "Get it Together! Synergistic Effects of Causal and Effectual Decision–Making Logics on Venture Performance," Entrepreneurship Theory and Practice, , vol. 42(4), pages 571-604, July.

    More about this item

    Keywords

    network theory; business model; life cycle; RST; rough set theory; PCA; principal component analysis; tech ventures;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03685241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.