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Managing the Complexity of Digital Transformation : How Multiple Concurrent Initiatives Foster Hybrid Ambidexterity

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00006071
URN to cite this document: urn:nbn:de:bvb:703-epub-6071-7

Title data

Jöhnk, Jan ; Ollig, Philipp ; Rövekamp, Patrick ; Oesterle, Severin:
Managing the Complexity of Digital Transformation : How Multiple Concurrent Initiatives Foster Hybrid Ambidexterity.
In: Electronic Markets. Vol. 32 (2 March 2022) . - pp. 547-569.
ISSN 1422-8890
DOI der Verlagsversion: https://doi.org/10.1007/s12525-021-00510-2

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Project information

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Project's official title
Project's id
Projektgruppe WI Digitalisierung
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Projektgruppe WI Strategisches IT-Management
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Abstract

Currently, incumbent companies launch digital transformation initiatives (DTI) to cope with technological changes, challenging competitive environments, increasing customer demands, and other digitalization challenges. The DTI spectrum is broad and covers structural as well as contextual changes. Often companies launch multiple concurrent DTIs resulting in considerable organizational complexity. However, research on successfully managing DTIs’ interplay is still scarce. Drawing on five management aspects (i.e. strategic alignment, governance, methods/IT, people, culture) and insights from three case companies, we elucidate DTIs’ interplay. Thereby, we illustrate that beneficial DTI interplay management leads to achieving a complementary duality instead of a competing dualism in organizational ambidexterity. We explicate that multiple concurrent DTIs can foster structural and contextual ambidexterity, i.e. leading to hybrid ambidexterity and conclude that contextual ambidexterity coheres and balances exploration and exploitation efforts. Thereby, we contribute to a better understanding of DTIs, their interplay management, and their roles to foster hybrid ambidexterity.

Further data

Item Type: Article in a journal
Keywords: Digital Transformation; Hybrid Ambidexterity; Case Study
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-6071-7
Date Deposited: 25 Mar 2022 07:44
Last Modified: 30 Aug 2022 09:53
URI: https://epub.uni-bayreuth.de/id/eprint/6071

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