@inproceedings{NurhasGeislerOjalaetal.2020, author = {Irawan Nurhas and Stefan Geisler and Arto Ojala and Jan Pawlowski}, title = {Towards a Wellbeing-driven System Design for Intergenerational Collaborative Innovation: A Literature Review}, series = {Proceedings of the 53rd Hawaii International Conference on System Sciences}, volume = {2020}, editor = {Tung Bui}, publisher = {University of Hawai'i at Manoa}, address = {Hawaii, USA}, isbn = {978-0-9981331-3-64}, url = {https://nbn-resolving.org/urn:nbn:de:hbz:1393-opus4-5903}, pages = {502 -- 511}, year = {2020}, abstract = {Researchers have previously utilized the advantages of a design driven by well-being and intergenerational collaboration (IGC) for successful innovation. Unfortunately, scant information exists regarding barrier dimensions and correlated design solutions in the information systems (IS) domain, which can serve as a starting point for a design oriented toward well-being in an IGC system. Therefore, in this study, we applied the positive computing approach to guide our analysis in a systematic literature review and developed a framework oriented toward well-being for a system with a multi-generational team. Our study contributes to the IS community by providing five dimensions of barriers to IGC and the corresponding well-being determinants for positive system design. In addition, we propose further research directions to close the research gap based on the review outcomes.}, language = {en} }