A Quantitative Model for Using Open Innovation in Mobile Service Development

Title data

Mette, Philipp ; Moser, Florian ; Fridgen, Gilbert:
A Quantitative Model for Using Open Innovation in Mobile Service Development.
In: Proceedings of the 11th International Conference on Wirtschaftsinformatik (WI). - Leipzig, Germany , 2013

Official URL:

Abstract in another language

The potential of mobile service innovations to create valuable economic impact makes their development desirable for companies. To develop and launch successful mobile services, the integration of customers in the idea generation process bears high potential. However, such Open Innovation activities usually demand for investments, whereas the precise relation between the money invested and the generated economic effect is still indistinct. The objective of this paper is to replace the black box between investments in Open Innovation and the thereby generated profits through formal-deductive analysis. For this purpose, we analyze the effect chain between Open Innovation and economic profit by adapting the model of Kano and putting special emphasis on the specifics of mobile services. Building on that, we develop a quantitative formal model to determine the optimal investment amount in Open Innovation activities for mobile services. The model’s utility is illustrated with an example based on real-world data.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Open Innovation, mobile services, customer satisfaction, Kano model, decision model
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors > Professor Information Systems and Sustainable IT Management - Univ.-Prof. Dr. Gilbert Fridgen Profile Fields Profile Fields > Emerging Fields Profile Fields > Emerging Fields > Innovation and Consumer Protection 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 Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors
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:	31 Mar 2015 11:04
Last Modified:	04 Oct 2022 07:47
URI:	https://eref.uni-bayreuth.de/id/eprint/7782