Oliver Gassmann
Title
Prof. Dr.
Last Name
Gassmann
First name
Oliver
Email
oliver.gassmann@unisg.ch
Phone
+41 71 224 72 21
Web Site
5 results
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Item type:Publication, Rethinking the Role of Universities in the Future of Work and Learning(2022-09-05); ; ; Rüdiger, FelixType:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Aligning Platform Ecosystems through Distributed Ledger Technologies(2021); ;Schückes, Magnus; ;Gutmann, TobiasType:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Intellectual property protection in the age of self-learning systems: Appropriability issues in artificial intelligenceThis study examines how firms in the autonomous driving industry that pursue artificial intelligence-based innovations attempt to appropriate returns from these innovations. It intends to contribute to the literature on value appropriation from innovation by investigating the extent to which firms can and do keep the key components of AI systems (data set, training approach, and model) private versus publishing them. Using a qualitative research design, we establish that there are regulatory, technical, and enforcement aspects to the components that prompt firms to either protect or publish.Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial intelligence and innovation management: A review and research agenda of a realistic appraisal(Academy of Innovation, Entrepreneurship, and Knowledge, 2020-06-24); ; ;Parida, VinitArtificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company’s entire innovation process. In response, we explore the implications for future innovation management. Using ideas from the Carnegie School and the Behavioral Theory of the Firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explaining what is important to consider in making the transformation to the digital organization of innovation. We also explore directions for future research.Type:conference paper