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Toward an optimal degree of openness in IT innovation projects

Title data

Bürger, Olga ; Moser, Florian:
Toward an optimal degree of openness in IT innovation projects.
In: R & D Management. Vol. 49 (2019) Issue 2 . - pp. 239-251.
ISSN 1467-9310
DOI: https://doi.org/10.1111/radm.12297

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI IT-gestütztes Finanzmanagement
No information

Abstract in another language

In spite of substantial interest in open innovation (OI), both research and practice lack methods that support companies in managing their IT innovation projects (ITIPs) relative to OI. We contribute to the closure of this gap by providing an approach for an ex ante financial evaluation of OI application, which involves developing a theoretical model that determines the optimal degree of openness in ITIPs. Based on our model, we examine relevant causal relationships by analyzing the influence of a company’s ability to manage OI and the probability of success in OI application on the theoretical optimum. We find, that the optimal openness level is linked with the company’s ability to manage OI, which can incorporate organizational, cultural, and technological maturity. To increase the value contribution of OI, companies should focus on a steady improvement in managing OI. The results provide both an indicator for practical decision-making and a starting point for future research.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
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
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 09:24
Last Modified: 26 Sep 2024 13:34
URI: https://eref.uni-bayreuth.de/id/eprint/41572