Title data
Arnold, Laurin ; Karnebogen, Philip ; Urbach, Nils:
Challenges of Organizations' Adoption of Industrial Iot Platforms : Results of a Delphi Study.
In: International Journal of Innovation and Technology Management.
Vol. 20
(2023)
Issue 6
.
- 2350041.
ISSN 0219-8770
DOI: https://doi.org/10.1142/S0219877023500414
Project information
Project title: |
Project's official title Project's id Projektgruppe WI IoT No information |
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Abstract in another language
Companies are still reticent about adopting IIoT platforms, and research has not yet explained the
underlying challenges that impede such adoption. Uncovering these obstacles can open avenues for
research and practice to realize the intended potential. We take a holistic perspective on technological,
organizational, and environmental challenges that impede organizations’ adoption of IIoT platforms,
which we identify in a Delphi study with 22 international experts from academia and practice. Besides
identifying 29 challenges, our research reveals the comparative relevance of individual challenges,
uncovering differences in perceptions between academics and practitioners. The study contributes to
the diffusion of IIoT platforms in research and practice.
Further data
Item Type: | Article in a journal |
---|---|
Refereed: | Yes |
Keywords: | Industrial IoT; IIoT Platform; Adoption; Challenge; Delphi Study |
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 |
Result of work at the UBT: | No |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
Date Deposited: | 13 Jun 2023 07:52 |
Last Modified: | 07 Dec 2023 13:31 |
URI: | https://eref.uni-bayreuth.de/id/eprint/81320 |