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Leveraging international R&D teams of portfolio entrepreneurs and management controllers to innovate: Implications of algorithmic decision-making

Rodgers, Wayne; Degbey, William; Söderbom, Arne; Leijon, Svante Leijon

Authors

Wayne Rodgers

William Degbey

Arne Söderbom

Svante Leijon Leijon



Abstract

We focus on how international research and development (R&D) teams of portfolio entrepreneurs and their management controllers can help to innovate and sustain entrepreneurial activities. An algorithmic decision-making model is implemented that indicates how such portfolio entrepreneurs build complex business structures and create a context for management accounting controllers' information that is suggestive of R&D internationalization challenges. A case study is utilized to compare one large and one medium-sized business conglomerate. Open interviews were conducted with portfolio entrepreneurs and their management controllers. We found that the international R&D teams of portfolio entrepreneurs and their management controllers have different mindsets when assessing sustainable innovative approaches for the existing business and for future expansion through acquisitions. Our findings assert the importance of context when understanding the challenges of management controllers dealing with the internationalization of such R&D efforts.

Citation

Rodgers, W., Degbey, W., Söderbom, A., & Leijon, S. L. (in press). Leveraging international R&D teams of portfolio entrepreneurs and management controllers to innovate: Implications of algorithmic decision-making. Journal of business research, https://doi.org/10.1016/j.jbusres.2021.10.053

Journal Article Type Article
Acceptance Date Nov 2, 2021
Online Publication Date Nov 14, 2021
Deposit Date Nov 3, 2021
Publicly Available Date Nov 15, 2021
Journal Journal of business research
Print ISSN 0148-2963
Publisher Elsevier
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1016/j.jbusres.2021.10.053
Keywords International R&D teams; Portfolio entrepreneurs; Throughput model; AI algorithms; Decisionmaking; Management controllers
Public URL https://hull-repository.worktribe.com/output/3867419

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Copyright Statement
© 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/)





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