Business Model Innovation Analytics for Small to Medium Enterprises

Matheus Franco, Vinicius Minatogawa, Ruy Quadros, Orlando Duran, Antonio Batocchio, Jose Garcia, Matias Valenzuela

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Hypercompetition requires shorter life cycles for products, services, processes, and business models. Innovation management aided by innovation analytics is helping companies respond more precisely to such challenges. Business model innovation, yet, is poorly explored in combination with innovation analytics. The subject is even more neglected when approached under the SME perspective. Such companies struggle in dealing with scarce resources. Still, they are also exposed to hypercompetitive environments. A theoretical background covering the evolution of innovation management and the importance of business model innovation-specific practices is provided. Thus, we will introduce a framework that enables SMEs to utilize innovation analytics. Presenting a comprehensible process, we integrate dynamic capabilities, activities, and data analytics. The aim is data-driven focused business model innovation. As for theoretical implications, this is one of the first studies relating business model innovation and innovation analytics. In practice, it will help managers to better understand innovation analytics for further application in SMEs.

Original languageEnglish
Title of host publicationInnovation Analytics
Subtitle of host publicationTools for Competitive Advantage
PublisherWorld Scientific Publishing Co.
Number of pages27
ISBN (Electronic)9781786349989
ISBN (Print)9781800610002
StatePublished - 1 Jan 2023


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