Application, Adoption, and Impact of Emerging Technologies
Permanent URI for this collectionhttps://hdl.handle.net/10125/107571
Browse
Recent Submissions
Item type: Item , Revealing the Impacting Factors for the Adoption of Federated Machine Learning in Organizations(2024-01-03) Müller, Tobias; Zahn, Milena; Matthes, FlorianThe success of Machine Learning is driven by the ever-increasing wealth of digitized data. Still, a significant amount of the world’s data is scattered and locked in data silos, which leaves its full potential and therefore economic value largely untapped. Federated Machine Learning is a novel model-to-data approach that enables the training of Machine Learning models on decentralized, potentially siloed data. Despite its potential, most Federated Machine Learning projects fail to actualize. The current literature lacks an understanding of the crucial factors for the adoption of Federated Machine Learning in organizations. We conducted an interview study with 13 experts from seven organizations to close this research gap. Specifically, we draw on the Technology-Organization-Environment framework and identified a total of 19 influencing factors. Thereby, we intend to facilitate managerial decision-making, aid practitioners in avoiding pitfalls, and thereby ease the successful implementation of Federated Machine Learning projects.Item type: Item , Persuade Oscar, the Grouch: A Design Approach for a Persuasive Gamified Smart Waste App(2024-01-03) Strunk, Jobin; Anschütz, Christian; Ebner, Katharina; Smolnik, StefanLittering, for instance caused by awareness lacks on appropriate waste disposal, is one of the pollution causes in cities and can damage water , air , and soil. In the smart city context, smart waste apps (SWAs) can be used to address the change of citizens’ littering behavior by implementing persuasion. This research aims to pro- vide a first step toward a design theory for SWAs that enhances the internal motivation to engage in correct litter disposal. Our research follows a six-step design science approach to identify design requirements, de- rive design principles, and develop design features based on a literature review on SWAs and a series of expert workshops. We investigate which design princi- ples should guide SWAs’ design to select an adequate set of persuasive elements and, thus, better target litter- ing behavior change. The proposed prototypical SWA is expected to motivate citizens' littering behavior change, thereby, improving urban cleanliness.Item type: Item , Introduction to the Minitrack on Application, Adoption, and Impact of Emerging Technologies Minitrack(2024-01-03) Chan, Johnny; Hassna, Ghazwan; Peko, Gabrielle; Sundaram, David