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The 4th Industrial Revolution: Business Models and Evidence From the Field

Author

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  • Carlo Bagnoli

    (Università Ca' Foscari, Venice, Italy)

  • Francesca Dal Mas

    (Università degli Studi di Roma La Sapienza, Rome, Italy)

  • Maurizio Massaro

    (Università Ca' Foscari, Venice, Italy)

Abstract

The objective of this article is to analyze the impact of Industry 4.0 on business models considering technological change as a driver of strategic innovation. The research aims to provide the key to interpreting a process of innovation that, starting from the technological transformation, translates it into a broader change of business models. A structured literature review has been developed analyzing 144 sources divided into scientific papers, reports from consultancy firms and institutional reports. This method identified the importance given by the literature to the technologies and their impact on the building blocks of the business model. The research has led to the identification of 12 business models that can represent a framework to interpret the Industry 4.0 phenomenon strategically. A questionnaire analysis of a sample of 111 companies based in Italy allowed us to compare the results of theoretical research with the perceptions of Italian entrepreneurs.

Suggested Citation

  • Carlo Bagnoli & Francesca Dal Mas & Maurizio Massaro, 2019. "The 4th Industrial Revolution: Business Models and Evidence From the Field," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 11(3), pages 34-47, July.
    • Handle: RePEc:igg:jesma0:v:11:y:2019:i:3:p:34-47
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    Citations

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    Cited by:

    1. Zhang Zhen & Zahid Yousaf & Magdalena Radulescu & Muhammad Yasir, 2021. "Nexus of Digital Organizational Culture, Capabilities, Organizational Readiness, and Innovation: Investigation of SMEs Operating in the Digital Economy," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    2. Maurizio Massaro & Francesca Dal Mas & Charbel Jose Chiappetta Jabbour & Carlo Bagnoli, 2020. "Crypto‐economy and new sustainable business models: Reflections and projections using a case study analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2150-2160, September.
    3. Maria José Sousa, "undated". "Artificial Intelligence in Agriculture: Revolutionizing Methods and Practices in Portugal," GEE Papers 180, Gabinete de Estratégia e Estudos, Ministério da Economia.
    4. Dal Mas, F. & Massaro, M. & Ndou, V. & Raguseo, E., 2023. "Blockchain technologies for sustainability in the agrifood sector: A literature review of academic research and business perspectives," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    5. Maurizio Massaro & Silvana Secinaro & Francesca Dal Mas & Valerio Brescia & Davide Calandra, 2021. "Industry 4.0 and circular economy: An exploratory analysis of academic and practitioners' perspectives," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1213-1231, February.

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