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How AI capabilities enable business model innovation : Scaling AI through co-evolutionary processes and feedback loops
(Elsevier, 2021-09)
- article
Artificial intelligence (AI) is predicted to radically transform the ways manufacturing firms create, deliver, and capture value. However, many manufacturers struggle to successfully assimilate AI capabilities into their ...
Exploratory and exploitative capability paths for innovation : A contingency framework for harnessing fuzziness in the front end
(Elsevier, 2021-12-03)
- article
Based on the results of a multiple case study of seven manufacturing firms, a contingency framework for harnessing fuzziness in the front end of innovation is proposed by delineating two discrete capability paths through ...
Dynamic capabilities for ecosystem orchestration : A capability-based framework for smart city innovation initiatives
(Elsevier, 2021-05)
- article
Firms are faced with increased dynamism due to rapid technological development, digitalization, and sustainability requirements, creating novel opportunities for ecosystem innovation. This is particularly prevalent in smart ...
Startups versus incumbents in ‘green’ industry transformations : A comparative study of business model archetypes in the electrical power sector
(Elsevier, 2021-07)
- article
Scholars have recently argued that startups and incumbents play differential roles in the disruptive transformations of industries toward sustainability and that the transformations are only likely to succeed if both ...
What is the Market Value of Artificial Intelligence and Machine Learning? The Role of Innovativeness and Collaboration for Performance
(Elsevier, 2022-07)
- article
As AI and ML technologies are increasingly incorporated into products, there is a need to understand the role of these incorporations in enhancing performance. This study uses new types of methodology related to textual ...
An agile co-creation process for digital servitization : a micro-service innovation approach
(Elsevier, 2020)
- article
In this paper, we explore how manufacturing firms and their customers co-create digital service innovations in an attempt to address the digitalization paradox. We present empirical insights from a case study of four ...
Tracking innovation diffusion : AI analysis of large-scale patent data towards an agenda for further research
(Elsevier, 2021-04-01)
- article
Recent advances in AI algorithms and computational power have led to opportunities for new methods and tools. Particularly when it comes to detecting the current status of inter-industry technologies, the new tools can be ...