| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | End-to-end methodological approach for the data-driven design of customer-centered digital services |
| Authors: | Meierhofer, Jürg Herrmann, Anne |
| DOI: | 10.1007/978-3-030-00713-3_16 |
| Proceedings: | IESS 2018: Exploring Service Science |
| Editors of the parent work: | Satzger, Gerhard Patrício, Lia Zaki, Mohamed Kühl, Niklas Hottum, Peter |
| Volume(Issue): | 9 |
| Page(s): | 208 |
| Pages to: | 218 |
| Conference details: | 9th International Conference on Exploring Service Science (IESS 2018), Karlsruhe, Germany, 19-21 September 2018 |
| Issue Date: | 2018 |
| Series: | Lecture notes in business information processing |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-030-00712-6 978-3-030-00713-3 |
| ISSN: | 1865-1348 1865-1356 |
| Language: | English |
| Subjects: | Data-driven value creation; Data-driven innovation process; Service innovation |
| Subject (DDC): | 005: Computer programming, programs and data |
| Abstract: | The collection, analysis, and interpretation of digital data has become an important factor for the provision of services. However, there is a lack of methodologies for using data analytics systematically in an end-to-end pro-cess for designing services. Therefore, in this paper, we develop a conceptual approach covering the innovation funnel from idea generation to market deployment. In particular, we describe how qualitative approaches alternate with quantitative approaches along the innovation process. We pay special attention to the design of data-driven value propositions including the analysis and modeling of the customer needs, a phase in which the concept of hidden needs and pains is applied. To conclude, we propose the development of a tool to support and industrialize the approach discussed in this paper. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/10885 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Data Analysis and Process Design (IDP) |
| Appears in collections: | Publikationen School of Engineering |
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Meierhofer, J., & Herrmann, A. (2018). End-to-end methodological approach for the data-driven design of customer-centered digital services [Conference paper]. In G. Satzger, L. Patrício, M. Zaki, N. Kühl, & P. Hottum (Eds.), IESS 2018: Exploring Service Science (Vol. 9, pp. 208–218). Springer. https://doi.org/10.1007/978-3-030-00713-3_16
Meierhofer, J. and Herrmann, A. (2018) ‘End-to-end methodological approach for the data-driven design of customer-centered digital services’, in G. Satzger et al. (eds) IESS 2018: Exploring Service Science. Cham: Springer, pp. 208–218. Available at: https://doi.org/10.1007/978-3-030-00713-3_16.
J. Meierhofer and A. Herrmann, “End-to-end methodological approach for the data-driven design of customer-centered digital services,” in IESS 2018: Exploring Service Science, 2018, vol. 9, pp. 208–218. doi: 10.1007/978-3-030-00713-3_16.
MEIERHOFER, Jürg und Anne HERRMANN, 2018. End-to-end methodological approach for the data-driven design of customer-centered digital services. In: Gerhard SATZGER, Lia PATRÍCIO, Mohamed ZAKI, Niklas KÜHL und Peter HOTTUM (Hrsg.), IESS 2018: Exploring Service Science. Conference paper. Cham: Springer. 2018. S. 208–218. ISBN 978-3-030-00712-6
Meierhofer, Jürg, and Anne Herrmann. 2018. “End-to-End Methodological Approach for the Data-Driven Design of Customer-Centered Digital Services.” Conference paper. In IESS 2018: Exploring Service Science, edited by Gerhard Satzger, Lia Patrício, Mohamed Zaki, Niklas Kühl, and Peter Hottum, 9:208–18. Cham: Springer. https://doi.org/10.1007/978-3-030-00713-3_16.
Meierhofer, Jürg, and Anne Herrmann. “End-to-End Methodological Approach for the Data-Driven Design of Customer-Centered Digital Services.” IESS 2018: Exploring Service Science, edited by Gerhard Satzger et al., vol. 9, Springer, 2018, pp. 208–18, https://doi.org/10.1007/978-3-030-00713-3_16.
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