Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

Towards an optimal investment strategy considering fashionable IT innovations : a dynamic optimization model

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

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI IT-gestütztes FinanzmanagementNo information

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
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: 07 May 2018 12:04
URI: https://eref.uni-bayreuth.de/id/eprint/41570