Abstract
Developing new service business models that provide human-centered service offerings rely on deep insights on the needs and requirements of customers. Companies that have been on the market for some time, often collected large amounts of data on their customers that can be applied to achieve deep customer understanding and develop artificial intelligence. Applying a single case study that comprises the development of a personal health advisory service for stroke prevention in Germany, this research analyzed the mechanism of AI in the development of human-centered service offerings. With this, we briefly analyze and discuss the role of data, artificial intelligence and its explainability to gain customer understanding and proximity and to achieve human-centered service.
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References
Warg, M., Engel, R.: Service-dominierte architektur (sda): kernkomponente digitaler transformation. Zeitschrift für Versicherungswesen 2016, 391–395 (2016)
Warg, M., Weiß, P., Engel, R., Zolnowski, A.: Service dominant architecture based on S-D logic for mastering digital transformation: the case of an insurance company. In: Russo-Spena, T., Mele, C. (eds.) 26th Annual RESER Conference, pp. 807–826. Naples, Italy (2016)
Zott, C., Amit, R., Massa, L.: The business model: theoretical roots, recent development, and future research. J. Manage. 37, 1019–1042 (2011)
Zolnowski, A., Böhmann, T.: Business modelling for services – current state and research perspectives. In: AMCIS 2011 - Proceedings – All Submissions. Paper 394, Detroit (2011)
Sorrentino, M., Smarra, M.: The term “business model” in financial reporting: does it need a proper definition? Open J. Account. 4, 11–22 (2015)
Afuah, A., Tucci, C.L.: Internet Business Models and Strategies. Text and Cases. Mcgraw-Hill Higher Education, New York (2001)
Al-Debei, M.M.: The Design and Engineering of Innovative Mobile Data Services: An Ontological Framework Founded on Business Model Thinking, vol. PhD, p. 288. Brunel University, London (2010)
Zott, C., Amit, R.: Business model design and the performance of entrepreneurial firms. Organ. Sci. 18, 181–199 (2007)
Gordijn, J.: Value-based Requirements Engineering-Exploring Innovative E-Commerce Ideas, vol. PhD. Vrije Universiteit, Amsterdam (2002)
Osterwalder, A.: The Business Model Ontology - a proposition in a design science approach (2004)
McCarthy, W.E.: The REA accounting model: a generalized framework for accounting systems in a shared data environment. Account. Rev. 57, 554–578 (1982)
Osterwalder, A., Pigneur, Y.: Business Model Generation. Wiley, Hoboken (2010)
John, T., Szopinski, D.: Towards explaining the popularity of the business model canvas: a dual coding approach. Multikonferenz Wirtschaftsinformatik 2018, Lüneburg (2018)
Zolnowski, A.: Analysis and Design of Service Business Models. Informatics, vol. Doctor. University of Hamburg, Hamburg (2015)
Normann, R.: Reframing Business: When the Map Changes the Landscape. Wiley, Hoboken (2001)
Oviatt, S.: Human-centered design meets cognitive load theory: designing interfaces that help people think. In: Proceedings of the 14th ACM International Conference on Multimedia, pp. 871–880. Association for Computing Machinery, Santa Barbara (2006)
Spohrer, J., Maglio, P., Bailey, J., Gruhl, D.: Steps toward a science of service systems. Computer 40, 71–77 (2007)
Maglio, P.P., Kwan, S.K., Spohrer, J.: Commentary—toward a research agenda for human-centered service system innovation. Serv. Sci. 7, 1–10 (2015)
Obermeyer, Z., Emanuel, E.J.: Predicting the future — big data, machine learning, and clinical medicine. N. Engl. J. Med. 375, 1216–1219 (2016)
Feng, R., Badgeley, M., Mocco, J., Oermann, E.K.: Deep learning guided stroke management: a review of clinical applications. J. NeuroInterventional Surgery 10, 358–362 (2018)
Hinman, J.D., Rost, N.S., Leung, T.W., Montaner, J., Muir, K.W., Brown, S., Arenillas, J.F., Feldmann, E., Liebeskind, D.S.: Principles of precision medicine in stroke. J. Neurol. Neurosurg. Psychiatry 88, 54–61 (2017)
Leff, D.R., Yang, G.-Z.: Big data for precision medicine. Engineering 1, 277–279 (2015)
Zhou, L., Pan, S., Wang, J., Vasilakos, A.V.: Machine learning on big data: opportunities and challenges. Neurocomputing 237, 350–361 (2017)
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Zolnowski, A., Frey, D. (2020). Analyzing the Role of Artificial Intelligence in the Development of Human-Centered Service. In: Spohrer, J., Leitner, C. (eds) Advances in the Human Side of Service Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1208. Springer, Cham. https://doi.org/10.1007/978-3-030-51057-2_18
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DOI: https://doi.org/10.1007/978-3-030-51057-2_18
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