2020
DOI: 10.1007/s11115-020-00492-3
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Digital Public Services in Smart Cities – an Empirical Analysis of Lead User Preferences

Abstract: Smart cities (SC) attract constant criticism due their technocratic conceptualization. To solve this issue, scholars call for a citizen-centric approach aligning the SC agenda to the citizens’ needs and preferences. However, examining SC user preferences is still in its infancy and only few studies provide empirical insights. By surveying 105 lead users, this article is able to predict the preferred type of SC services, the preferred channels for accessing smart services and the factors fostering SC service us… Show more

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Cited by 16 publications
(10 citation statements)
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“…Based on previous knowledge from SC research in general and the conceptual template of the SC service provision framework by Wirtz et al (2021) in particular, a total of 173 digital services out of the SC context were submitted for evaluation within the citizen web-survey. These in turn can be classified into 14 respective SC service domains and four superordinate administrative units.…”
Section: Methodology and Data Collectionmentioning
confidence: 99%
See 4 more Smart Citations
“…Based on previous knowledge from SC research in general and the conceptual template of the SC service provision framework by Wirtz et al (2021) in particular, a total of 173 digital services out of the SC context were submitted for evaluation within the citizen web-survey. These in turn can be classified into 14 respective SC service domains and four superordinate administrative units.…”
Section: Methodology and Data Collectionmentioning
confidence: 99%
“…For example, a commonly used approach to investigate citizens' preferences regarding public smart service offerings and their behavioral intention to use specific SC services is to study behavioral patterns and attitudes of small samples, such as Wirtz et al (2021) conducted through a lead user survey. Even though empirical research with a small sample size, if appropriately heterogeneous and contrasted, can yield informative findings that can in principle be generalized to the whole, there is also a risk of arriving at biased results (Patton, 2015;von Hippel, 1986).…”
Section: State Of Researchmentioning
confidence: 99%
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