We are “not” too (young/old) to collaborate : Prominent Key Barriers to Intergenerational Innovation
Nurhas, I., Aditya, B. R., Geisler, S., Ojala, A., & Pawlowski, J. (2019). We are “not” too (young/old) to collaborate : Prominent Key Barriers to Intergenerational Innovation. In D. Xu, J. Jiang, & H.-W. Kim (Eds.), PACIS 2019 : Proceedings of the 23rd Pacific Asia Conference on Information Systems. Barriers to Intergenerational Innovation in Global Context (Article 132). Association for Information Systems. https://aisel.aisnet.org/pacis2019/132
Date
2019Copyright
© the Authors, 2019.
In this study, we analyzed the barriers to technology-supported intergenerational innovation to understand better how young and old can collaborate towards global innovations. Researchers in different disciplines have already identified various barriers to intergenerational collaboration. However, barriers are changing depending on the context of collaboration, and difficulties still exist to support intergenerational innovation in global settings. Therefore, we investigated the barriers that emerge when people work with someone decades older or younger. The results of our study have shown what barriers are influenced by age, what barriers exist only for senior and younger adults. The study theoretically contributes to deepening the Information Systems (IS) community's understanding of the barriers to intergenerational innovation that need to be considered when developing systems for global innovation.
Publisher
Association for Information SystemsParent publication ISBN
NoneConference
Pacific Asia Conference on Information SystemsIs part of publication
PACIS 2019 : Proceedings of the 23rd Pacific Asia Conference on Information Systems. Barriers to Intergenerational Innovation in Global ContextKeywords
Original source
https://aisel.aisnet.org/pacis2019/132Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/31233765
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Additional information about funding
The research is part of the project funded by MIWM (Ministry of Innovation, Science, and Research of the State of the German State of North Rhine-Westphalia) at the Institute for Positive Computing of Hochschule Ruhr West.License
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