Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations

Vinicius Luiz Ferraz Minatogawa, Matheus Munhoz Vieira Franco, Izabela Simon Rampasso, Rosley Anholon, Ruy Quadros, Orlando Durán and Antonio Batocchio
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Vinicius Luiz Ferraz Minatogawa: Mechanical Engineering School, Pontificia Universidad Católica de Valparaíso, Quilpué CP 2430000, Chile
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
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

Sustainability, 2019, vol. 12, issue 1, 1-29

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.

Keywords: business model innovation; big data analytics; sustainability; design science; performance management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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