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
Pages: 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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