Methodology and Tool Support for Adaptive Idea Exploitation in Open Innovation
Sebastian Huber ()
Additional contact information
Sebastian Huber: University of Erlangen-Nuremberg
Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, 2017, vol. 59, issue 5, No 3, 345 pages
Abstract:
Abstract The lack of efficiency and transparency regarding cross-company collaboration in the field of open innovation often leads to cost intensive and unsuccessful products and services. This is because traditional approaches fail to cope with emerging requirements in innovation projects, e.g., the vertical and horizontal integration of strategic partners within and across the company’s value network. However, to maintain their competitive advantage, companies seek a constant and sustainable development of their product and service portfolio. In this context, knowledge work plays an important role in the collaborative development of innovative product and service ideas. For that reason, knowledge workers need systematic support regarding both methodological and operational challenges. The concept of Adaptive Case Management emerged from the necessity to support knowledge workers in unpredictable and highly creative working environments, especially in the field of Business Process Management. Therefore, the contribution shows, both from a conceptual and technological point of view, how to combine those approaches to support knowledge workers in dynamic innovation projects. To test the validity of the concept, a software prototype serves as the foundation for interviews with experts of the innovation department of a large international industrial company.
Keywords: Adaptive case management; Innovation management; Knowledge work; Open innovation (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12599-016-0456-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:binfse:v:59:y:2017:i:5:d:10.1007_s12599-016-0456-y
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/12599
DOI: 10.1007/s12599-016-0456-y
Access Statistics for this article
Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK is currently edited by Martin Bichler
More articles in Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK from Springer, Gesellschaft für Informatik e.V. (GI)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().