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Evaluating Different IT Innovation Investment Strategies from an Ex Ante and Ex Post Evaluation Perspective

Title data

Häckel, Björn ; Lindermeir, Andreas ; Moser, Florian ; Pfosser, Stefan:
Evaluating Different IT Innovation Investment Strategies from an Ex Ante and Ex Post Evaluation Perspective.
In: International Journal of Innovation and Technology Management. Vol. 13 (2016) Issue 4 . - Eintrag 1650015 (22 pages).
ISSN 1793-6950
DOI: https://doi.org/10.1142/S0219877016500152

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Abstract in another language

Contrary to mature IT innovations, fashionable IT innovations are hyped but lack institutionalization. Since an appropriate evaluation of these innovations is rather complex, companies often choose fixed investment strategies that neglect effects of organizational learning through continuous innovating. Hence, we develop a dynamic optimization model that determines the optimal budget allocation to mature and fashionable IT innovations by considering organizational learning. Furthermore, we evaluate various investment strategies both from an ex ante and an ex post perspective. Thereby, we focus on a company’s innovativeness and draw conclusions about the superiority of different investment strategies regarding expected NPV and its volatility.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: IS innovation; IS strategic planning; Organizational learning
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 > 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: 18 Jan 2018 15:47
Last Modified: 18 Jan 2018 15:47
URI: https://eref.uni-bayreuth.de/id/eprint/41775