Customer Surveys as a Quantitative Evaluation Tool for Digital BMI

Jan F. Tesch (), Miriam Lehmbrink (), Gerrit Remané () and Lutz M. Kolbe ()
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Jan F. Tesch: University of Göttingen
Miriam Lehmbrink: University of Göttingen
Gerrit Remané: University of Göttingen
Lutz M. Kolbe: University of Göttingen

A chapter in Business Model Innovation in the Era of the Internet of Things, 2019, pp 177-208 from Springer

Abstract: Abstract Business model innovation (BMI) in the digital era is subject to more complex value chain networks and ecosystems which leads to an increased amount of uncertainties to deal with. Hence, well-established evaluation tools are questioned in this context. This paper examines quantitative evaluation tools and explores their role with a single case study of a company from the technology sector. Thereby, a methodological approach to incorporate conjoint analysis—exemplary to quantitative evaluation tools—is elaborated. Within the single case study, the methodological approach is applied to evaluate strategic options in a strategic stage of a digital BMI project. As a contribution to research, the paper at hand shows how quantitative evaluation tools have a tremendous impact on the development of a superior business model as a competitive advantage.

Keywords: Business model innovation; Evaluation; Conjoint analysis; Digitalization; Internet of Things (IoT) (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-98723-1_8

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DOI: 10.1007/978-3-319-98723-1_8

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