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Digital Transformation and Sustainable Oriented Innovation: A System Transition Model for Socio-Economic Scenario Analysis

Author

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  • Roberto Pasqualino

    (Global Sustainability Institute, Anglia Ruskin University, Cambridge CB1 1BG, UK)

  • Melissa Demartini

    (Centre for Sustainable Supply Chain Engineering, Department of Technology and Innovation, University of Southern Denmark, 5200 Odense, Denmark)

  • Faezeh Bagheri

    (Department of Mechanical Engineering, Energetics, Management and Transportation (DIME) Polytechnic School, University of Genoa, 16145 Genoa, Italy)

Abstract

Sustainability and digitalization are essential duties for companies to perform in the current socio-economic landscape due to risks caused by traditional manufacturing practices, and rules imposed by stakeholders and governments. Tools that help exploring uncertain future scenarios to address such a complex challenge are of vital importance for both businesses, governments, and financial institutions. This paper presents the IN4.0-SD, a novel system dynamics model to capture the dynamic interplay of industrial innovation, inequality, and inflation. The IN4.0-SD is a closed-economy System Dynamics model composed of three agents: sustainable oriented innovation business (SOIB), digital asset supplier business (DASB), and household. DASB and SOIB are both assumed to supply one product to the economy and fundamentally differ among each other in their business models. While the sustainable oriented innovation business produces and sells capital goods making revenue out of sales, digital asset supplier detaches the concept of production from sales moving toward an intangible economy, charging for a fee licence of their tools that can be distributed via a network economy. Simulations show the level of flexibility of the model in addressing a variety of scenarios, playing at the threshold of technology development, inequality rise, massive unemployment and providing an archetype for sustainable oriented innovation and digital transformation models. The findings suggested by the model analysis are used to infer conclusions for the wider society, including implications for sustainable oriented businesses and digital transformation. These are confirmed by previous studies, around the overall trend in wealth creation for large technology firms’ owners, potential impact for employment in the digital economy, and transformation for the labour market.

Suggested Citation

  • Roberto Pasqualino & Melissa Demartini & Faezeh Bagheri, 2021. "Digital Transformation and Sustainable Oriented Innovation: A System Transition Model for Socio-Economic Scenario Analysis," Sustainability, MDPI, vol. 13(21), pages 1-34, October.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11564-:d:660286
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    Cited by:

    1. Agnieszka A. Tubis & Katarzyna Grzybowska & Bartosz Król, 2023. "Supply Chain in the Digital Age: A Scientometric–Thematic Literature Review," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Rafael Martínez-Peláez & Alberto Ochoa-Brust & Solange Rivera & Vanessa G. Félix & Rodolfo Ostos & Héctor Brito & Ramón A. Félix & Luis J. Mena, 2023. "Role of Digital Transformation for Achieving Sustainability: Mediated Role of Stakeholders, Key Capabilities, and Technology," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    3. Ravneet Kaur & Rajesh Singh & Anita Gehlot & Neeraj Priyadarshi & Bhekisipho Twala, 2022. "Marketing Strategies 4.0: Recent Trends and Technologies in Marketing," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    4. Xiao Han & Yang Zheng, 2022. "Driving Elements of Enterprise Digital Transformation Based on the Perspective of Dynamic Evolution," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    5. Lei Wang & Shibo Liu & Wanfang Xiong, 2022. "The Impact of Digital Transformation on Corporate Environment Performance: Evidence from China," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    6. Albérico Travassos Rosário & Joana Carmo Dias, 2023. "The New Digital Economy and Sustainability: Challenges and Opportunities," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    7. Shuke Fu & Jiabei Liu & Jiali Tian & Jiachao Peng & Chuyue Wu, 2023. "Impact of Digital Economy on Energy Supply Chain Efficiency: Evidence from Chinese Energy Enterprises," Energies, MDPI, vol. 16(1), pages 1-21, January.

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