A3 Refereed book chapter or chapter in a compilation book

Data-driven Business Model Innovation - When is Decoupling Necessary?




AuthorsEriksson Taina, Nummela Niina, Heikkilä Marikka

EditorsSvetla T. Marinova, Marin A. Marinov

Edition1

Publishing placeNew York

Publication year2023

Book title Reconfiguration of business models and ecosystems: Decoupling and resilience

Series titleRoutledge frontiers in the development of international business, management and marketing

First page 82

Last page97

ISBN978-1-03-235402-6

eISBN978-1-00-332673-1

DOIhttps://doi.org/10.4324/9781003326731-6(external)

Web address https://doi.org/10.4324/9781003326731-6(external)

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/178627510(external)


Abstract

This chapter investigates the issues related to data-driven business model innovation which relate them to the need of decoupling. More specifically, this study investigates how small- and medium-sized enterprises (SMEs) innovate new business by utilising data analytics techniques to improve their future competitiveness and resilience. This chapter adopts a “matched-pair” case study of two Finnish SMEs applying an inductive approach and data triangulation and uncovers the emergence of business model innovation in real time. Focal factors have led the SMEs to decouple the novel business from the established one and develop a parallel business model for the new offering of the studied SMEs. The findings have proved that in the case of SMEs, decoupling has been necessary for resilience building purposes. The key contribution of the study is in uncovering that forward firms’ strategies help managing multiple business models in SMEs when decoupling takes place.


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Last updated on 2025-27-03 at 21:51