Institut für Wirtschaftsinformatik
Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/66
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Publikation How to support customer segmentation with useful cluster descriptions(Springer, 2015) Witschel, Hans Friedrich; Loo, Simon; Riesen, Kaspar; Perner, PetraCustomer or market segmentation is an important instrument for the optimisation of marketing strategies and product portfolios. Clustering is a popular data mining technique used to support such segmentation – it groups customers into segments that share certain demographic or behavioural characteristics. In this research, we explore several automatic approaches which support an important task that starts after the actual clustering, namely capturing and labeling the “essence” of segments. We conducted an empirical study by implementing several of these approaches, applying them to a data set of customer representations and studying the way our study participants interacted with the resulting cluster representations. Major goal of the present paper is to find out which approaches exhibit the greatest ease of understanding on the one hand and which of them lead to the most correct interpretation of cluster essence on the other hand. Our results indicate that using a learned decision tree model as a cluster representation provides both good ease of understanding and correctness of drawn conclusions.04B - Beitrag KonferenzschriftPublikation System Metamodelling of Open-Ended Evolution Implemented with Self-Modifying Code(Complex Systems Publications, inc., 2023) Christen, Patrik01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Commerce Report Schweiz 2021. Fokus: Epochenwechsel im Vertrieb an Konsumenten(Institut für Wirtschaftsinformatik, Hochschule für Wirtschaft FHNW, 2021) Wölfle, Ralf; Leimstoll, UweVierzehnte Ausgabe der Studienreihe E-Commerce-Report Schweiz.05 - Forschungs- oder ArbeitsberichtPublikation Commerce Report Schweiz 2022. Werte und Services im Fokus des Handels(Institut für Wirtschaftsinformatik, Hochschule für Wirtschaft FHNW, 2022) Wölfle, Ralf; Leimstoll, UweFünfzehnte Ausgabe der Studienreihe E-Commerce-Report Schweiz.05 - Forschungs- oder ArbeitsberichtPublikation Soziale Roboter, Empathie und Emotionen. Eine Untersuchung aus interdisziplinärer Perspektive(TA-SWISS, 2021) Schulze, Hartmut; Bendel, Oliver; Schubert, Maria; Binswanger, Mathias; Simmler, Monika; Reimer, Ricarda T.D.; Tanner, Alexandra; Urech, Andreas; Kreis, Jeanne; Zigan, Nicole; Kramer, Iris; Flückiger, Silvan; Rüegg, Michelle; Künzi, Cäsar; Kochs, Kathrin; Zingg, Olivia05 - Forschungs- oder ArbeitsberichtPublikation Commerce Report Schweiz 2021. Barometer: Standortbestimmung im Schweizer Handel(Institut für Wirtschaftsinformatik, Hochschule für Wirtschaft FHNW, 2021) Wölfle, Ralf; Leimstoll, UweDreizehnte Ausgabe der Studienreihe E-Commerce-Report Schweiz.05 - Forschungs- oder ArbeitsberichtPublikation E-Commerce Report Schweiz 2019. Digitalisierung im Vertrieb an Konsumenten. Eine qualitative Studie aus Sicht der Anbieter(Institut für Wirtschaftsinformatik, Hochschule für Wirtschaft FHNW, 2019) Wölfle, Ralf; Leimstoll, UweDie elfte Ausgabe der Studienreihe E-Commerce Report Schweiz behandelt neben der jüngsten Marktentwicklung die strukturellen Veränderungen in der Distribution von Konsumgütern. Das Vertiefungsthema 2019 ist ein Ausblick auf die vernetzte Angebotswelt im Jahr 2025.05 - Forschungs- oder ArbeitsberichtPublikation E-Commerce Report Schweiz 2020: Digitalisierung im Vertrieb an Konsumenten. Eine qualitative Studie aus Sicht der Anbieter(Institut für Wirtschaftsinformatik, Hochschule für Wirtschaft FHNW, 2020) Wölfle, Ralf; Leimstoll, UweDer E-Commerce Report Schweiz ist eine Studienreihe über den Einfluss der Digitalisierung auf die Entwicklung von Branchenstrukturen und Geschäftsmodellen für den Vertrieb von Produkten und Dienstleistungen an private Konsumenten (B2C). Dieser Bericht ist das Ergebnis der zwölften Durchführung einer umfassenden qualitativen Erhebung bei 35 in der Schweiz potenziell marktprägenden E-Commerce- und Multichannel-Anbietern. Die Ergebnisse werden überwiegend aus den Aussagen der befragten Experten abgeleitet.05 - Forschungs- oder ArbeitsberichtPublikation Features in learning paths for Indian and Swiss on-boarders(2022) Weber, Lukas; Schlick, SandraOn-boarding of new employees with varying cultural backgrounds can lead to conflicts, disagreements, and frustrations, even to unequal levels of education and misunderstandings. To address these problems, the authors suggest a learning path focusing on cultural differences in learning features. A constructivist perspective was adopted to develop the learning paths. The research strategy was Design Science Research. Two interviews were conducted with the only two course leaders, one from each culture, at the case company, M&S Inc. The results demonstrate that the value systems in the two cultures differ in the areas of law, authority, and design. With features such as a checklist of learning objectives, a reminder that the learning content may differ from what onboarding employees are used to, a wiki for self-study, or discussion forums show especially variation in learning path in the introductory area and concluding area. These differences reflect the cultural differences between the Swiss and Indian participants. By addressing the differences in learning paths, the paper helps to improve learning outcomes and understanding. Thus, this paper contributes to the acceptance of two cultures by comparing the two cultures of Switzerland and India and considering the derived learning characteristics, which contributes to higher satisfaction and performance.04B - Beitrag KonferenzschriftPublikation Practice track: a learning tracker using digital biomarkers for autistic preschoolers(2022) Sandhu, Gurmit; Kilburg, Anne; Martin, Andreas; Pande, Charuta; Witschel, Hans Friedrich; Laurenzi, Emanuele; Billing, Erik; Hinkelmann, Knut; Gerber, AuronaPreschool children, when diagnosed with Autism Spectrum Disorder (ASD), often ex- perience a long and painful journey on their way to self-advocacy. Access to standard of care is poor, with long waiting times and the feeling of stigmatization in many social set- tings. Early interventions in ASD have been found to deliver promising results, but have a high cost for all stakeholders. Some recent studies have suggested that digital biomarkers (e.g., eye gaze), tracked using affordable wearable devices such as smartphones or tablets, could play a role in identifying children with special needs. In this paper, we discuss the possibility of supporting neurodiverse children with technologies based on digital biomark- ers which can help to a) monitor the performance of children diagnosed with ASD and b) predict those who would benefit most from early interventions. We describe an ongoing feasibility study that uses the “DREAM dataset”, stemming from a clinical study with 61 pre-school children diagnosed with ASD, to identify digital biomarkers informative for the child’s progression on tasks such as imitation of gestures. We describe our vision of a tool that will use these prediction models and that ASD pre-schoolers could use to train certain social skills at home. Our discussion includes the settings in which this usage could be embedded.04B - Beitrag Konferenzschrift