Title data
Bürger, Olga ; Häckel, Björn ; Moser, Florian:
Towards an optimal investment strategy considering fashionable IT innovations : a dynamic optimization model.
In: Journal of Decision Systems.
Vol. 26
(2017)
Issue 3
.
- pp. 229-255.
ISSN 1246-0125
DOI: https://doi.org/10.1080/12460125.2017.1314614
Project information
Project title: |
Project's official title Project's id Projektgruppe WI Digital Finance No information |
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Abstract in another language
Companies regularly face the challenge of deciding whether, when and to which extent they should invest in IT innovations with different maturity. The IT innovation strategy thereby should consider mature as well as fashionable IT innovations as investment alternatives. As previous research’s focus is rather qualitative, we develop a dynamic optimization model that determines the optimal strategic allocation of an IT innovation budget to mature and fashionable IT innovations. By using a simulation-based approach, we analyze the essential causal relationships between the theoretical optimum and the factors of major influence. We find that companies should invest in fashionable IT innovations even if their own level of innovativeness is rather low and the technology’s success probability has not reached a high threshold yet. Our findings provide a basis for further research on mindful investment decisions in fashionable IT innovations.
Further data
Item Type: | Article in a journal |
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Refereed: | Yes |
Keywords: | fashionable IT innovation; IT innovation strategy; dynamic optimization model; IT innovation adoption; simulation |
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 > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & 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: | 09 Jan 2018 12:39 |
Last Modified: | 20 Oct 2021 10:59 |
URI: | https://eref.uni-bayreuth.de/id/eprint/41570 |