Knowledge- and innovation-based business models for future growth: digitalized business models and portfolio considerations

Bouncken, R.B.; Kraus, S.; Roig-Tierno, N.

doi:10.1007/s11846-019-00366-z

Knowledge- and innovation-based business models for future growth: digitalized business models and portfolio considerations

Bouncken, R.B.; Kraus, S.; Roig-Tierno, N.

Authors

R.B. Bouncken

S. Kraus

N. Roig-Tierno

Abstract

Today’s key challenge for firm growth relies in the integration of digital technologies and their use in new business models. Thus, firms increasingly engage in a digital transformation and in digitalizing their business model. Firms can apply digital technologies for improved or novel internal and external processes and integrate them in new business models. The digital transformation itself demands diverse knowledge from diverse origins in the firm. We examine the key concepts related to business model digitalization. We develop a conceptual matrix for portfolio considerations of firm business model digitalization. We introduce the seven contributions in this special issue on knowledge and innovation related to business and offer some recommendations for future research on the new working conditions and digital identities of firms.

Citation

Bouncken, R., Kraus, S., & Roig-Tierno, N. (2021). Knowledge- and innovation-based business models for future growth: digitalized business models and portfolio considerations. Review of Managerial Science, 15(1), 1-14. https://doi.org/10.1007/s11846-019-00366-z

Journal Article Type	Article
Acceptance Date	Oct 28, 2019
Online Publication Date	Nov 20, 2019
Publication Date	Jan 20, 2021
Deposit Date	Dec 4, 2019
Publicly Available Date	Dec 4, 2019
Journal	Review of Managerial Science
Print ISSN	1863-6683
Electronic ISSN	1863-6691
Publisher	Springer
Peer Reviewed	Peer Reviewed
Volume	15
Issue	1
Pages	1-14
DOI	https://doi.org/10.1007/s11846-019-00366-z
Public URL	https://durham-repository.worktribe.com/output/1276089

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Copyright Statement
This is a post-peer-review, pre-copyedit version of an article published in Review of managerial science. The final authenticated version is available online at: https://doi.org/10.1007/s11846-019-00366-z