Author:
Särner Elinor,Yström Anna,Lakemond, Nicolette,Holmberg Gunnar
Reference57 articles.
1. Ayobi, A., Stawarz, K., Katz, D., Marshall, P., Yamagata, T., Santos-Rodríguez, R., Flach, P., and O’Kane, A. A. 2021. Machine learning explanations as boundary objects: how AI researchers explain and non-experts perceive machine learning. In 2021 Joint ACM Conference on Intelligent User Interfaces Workshops, ACMIUI-WS, Collage Station, 2021, 13–17 April. http://ceur-ws.org/Vol-2903/IUI21WS-TExSS-3.pdf
2. Special Issue Editorial: Artificial Intelligence in Organizations: Implications for Information Systems Research
3. Resourceful Sensemaking: Overcoming Barriers between Marketing and Design in NPD
4. Where Do Good Innovation Ideas Come From? Exploring the Influence of Network Connectivity on Innovation Idea Quality