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Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations

Author

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  • Vinicius Luiz Ferraz Minatogawa

    (Mechanical Engineering School, Pontificia Universidad Católica de Valparaíso, Quilpué CP 2430000, Chile
    School of Mechanical Engineering, University of Campinas, R. Mendeleyev, 200-Cidade Universitária, Campinas-SP 13083-860, Brazil)

  • Matheus Munhoz Vieira Franco

    (Geosciences Institute, Department of Science and Technology Policy, University of Campinas, R. Carlos Gomes, 250-Cidade Universitária, Campinas-SP 13083-855, Brazil)

  • Izabela Simon Rampasso

    (School of Mechanical Engineering, University of Campinas, R. Mendeleyev, 200-Cidade Universitária, Campinas-SP 13083-860, Brazil
    Laboratory of Technology, Business and Environment Management, Federal Fluminense University, Passo da Pátria Street, 156, Niterói, Rio de Janeiro 24020-971, Brazil)

  • Rosley Anholon

    (School of Mechanical Engineering, University of Campinas, R. Mendeleyev, 200-Cidade Universitária, Campinas-SP 13083-860, Brazil)

  • Ruy Quadros

    (Geosciences Institute, Department of Science and Technology Policy, University of Campinas, R. Carlos Gomes, 250-Cidade Universitária, Campinas-SP 13083-855, Brazil)

  • Orlando Durán

    (Mechanical Engineering School, Pontificia Universidad Católica de Valparaíso, Quilpué CP 2430000, Chile)

  • Antonio Batocchio

    (School of Mechanical Engineering, University of Campinas, R. Mendeleyev, 200-Cidade Universitária, Campinas-SP 13083-860, Brazil)

Abstract

Business model innovation is considered key for organizations to achieve sustainability. However, there are many problems involving the operationalization of business model innovation. We used a design science methodology to develop an artifact to assist business model innovation efforts. The artifact uses performance measurement indicators of the company’s business model, which are powered by Big Data analytics to endow customer-driven business model innovation. Then, we applied the artifact in a critical case study. The selected company is a fashion ecommerce that proposes a vegan and sustainable value using recycled plastic bottle yarn as raw material, and ensures that no material with animal origin is used. Our findings show that the artifact successfully assists a proactive and continuous effort towards business model innovation. Although based on technical concepts, the artifact is accessible to the context of small businesses, which helps to democratize the practices of business model innovation and Big Data analytics beyond large organizations. We contribute to the business model innovation literature by connecting it to performance management and Big Data and providing paths for its operationalization. Consequently, in practice, the proposed artifact can assist managers dealing with business model as a dynamic element towards a sustainable company.

Suggested Citation

  • Vinicius Luiz Ferraz Minatogawa & Matheus Munhoz Vieira Franco & Izabela Simon Rampasso & Rosley Anholon & Ruy Quadros & Orlando Durán & Antonio Batocchio, 2019. "Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations," Sustainability, MDPI, vol. 12(1), pages 1-29, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:277-:d:303163
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    References listed on IDEAS

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    3. Vinicius Minatogawa & Matheus Franco & Orlando Durán & Ruy Quadros & Maria Holgado & Antonio Batocchio, 2020. "Carving out New Business Models in a Small Company through Contextual Ambidexterity: The Case of a Sustainable Company," Sustainability, MDPI, vol. 12(6), pages 1-34, March.
    4. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).

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