Digital technologies have been increasingly affecting our day-to-day activities, drastically reshaping markets and society. The diffusion of new digital technologies—such as social media, cloud computing, mobile computing, 3D printing, and big-data analytics – is posing firms to challenges, creating opportunities to develop radically new business models. However, despite the growing interest towards this issue, the contribute of digitalisation from the perspective of small and medium-sized enterprises (SMEs) is still such an under-investigated topic. SMEs are considered a driving force in most national economies, contributing heavily to employment, innovation and economic growth, but at the same time they often suffer from lack of both financial and human resources. These weaknesses may be compensated by the inflow and outflow of knowledge and capital boosted by technological innovation and participation within innovation ecosystems. The aim of this paper is to understand, through the lens of the institutional theory, how both the relationships established within the ecosystem and the internal organizational capabilities of SMEs impact on business model innovation thanks to the adoption of digital technologies such as Internet of things, big data, and open data. To do so the authors carried out an embedded case study on an Italian Industry 4.0 project which involved several actors (e.g. food SMEs, universities, technology consulting companies, and Piedmont Region). First findings on this ongoing research show that innovation ecosystems could represent a strong driver for developing an innovative business model oriented to value co-creation provided that SMEs already own distinctive dynamic capabilities. Without these capabilities it would be difficult to fully exploit the digital opportunities arising from the relationships among the heterogeneous actors which are part of the project.

Business model innovation in SMEs engaging in innovation ecosystems. A decoupling perspective

Sara Moggi
2019

Abstract

Digital technologies have been increasingly affecting our day-to-day activities, drastically reshaping markets and society. The diffusion of new digital technologies—such as social media, cloud computing, mobile computing, 3D printing, and big-data analytics – is posing firms to challenges, creating opportunities to develop radically new business models. However, despite the growing interest towards this issue, the contribute of digitalisation from the perspective of small and medium-sized enterprises (SMEs) is still such an under-investigated topic. SMEs are considered a driving force in most national economies, contributing heavily to employment, innovation and economic growth, but at the same time they often suffer from lack of both financial and human resources. These weaknesses may be compensated by the inflow and outflow of knowledge and capital boosted by technological innovation and participation within innovation ecosystems. The aim of this paper is to understand, through the lens of the institutional theory, how both the relationships established within the ecosystem and the internal organizational capabilities of SMEs impact on business model innovation thanks to the adoption of digital technologies such as Internet of things, big data, and open data. To do so the authors carried out an embedded case study on an Italian Industry 4.0 project which involved several actors (e.g. food SMEs, universities, technology consulting companies, and Piedmont Region). First findings on this ongoing research show that innovation ecosystems could represent a strong driver for developing an innovative business model oriented to value co-creation provided that SMEs already own distinctive dynamic capabilities. Without these capabilities it would be difficult to fully exploit the digital opportunities arising from the relationships among the heterogeneous actors which are part of the project.
9788866850199
Business Model Innovation, Small and Medium-sized Enterprises (SMEs), Institutional Logics, Dynamic Capabilities
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1009371
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