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Business Network Dynamics and Diffusion of Innovation

Author

Listed:
  • Alison Rieple

    (Westminster University)

  • Marco Pironti

    (University of Turin)

  • Paola Pisano

    (University of Turin)

Abstract

In global markets, organizations can use 3-D printing technology to decrease the uncertainty brought by technological innovation. Through a qualitative analysis of seven case studies, the authors have identified a new business network type - defined as beta-network - characterized by a flat horizontal shape structured with a multitude of actors and weak ties. In the short term the beta-network co-exists with the incumbent network defined by a more vertical structure, fewer actors and stronger ties, while in the long term they can co-evolve in an emerging integrated network.

Suggested Citation

  • Alison Rieple & Marco Pironti & Paola Pisano, 2012. "Business Network Dynamics and Diffusion of Innovation," Symphonya. Emerging Issues in Management, Niccolò Cusano University, issue 2 Innovat, pages 13-25.
    • Handle: RePEc:sym:journl:175:y:2012:i:2
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    File URL: https://symphonya.unicusano.it/article/view/2012.2.02rieple.pironti.pisano
    File Function: First version, 2012
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    References listed on IDEAS

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    1. Joel A. C. Baum & Tony Calabrese & Brian S. Silverman, 2000. "Don't go it alone: alliance network composition and startups' performance in Canadian biotechnology," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 267-294, March.
    2. Andrew M. Pettigrew, 1990. "Longitudinal Field Research on Change: Theory and Practice," Organization Science, INFORMS, vol. 1(3), pages 267-292, August.
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    Cited by:

    1. Marco Savastano & Carlo Amendola & Francesco Bellini & Fabrizio D’Ascenzo, 2019. "Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review," Sustainability, MDPI, vol. 11(3), pages 1-38, February.
    2. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Uzuegbunam, Ikenna & Geringer, J. Michael, 2021. "Culture, connectedness, and international adoption of disruptive innovation," Journal of International Management, Elsevier, vol. 27(1).

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