Smart Governance in Smart Cities

Walser, Konrad; Haller, Stephan

doi:10.1007/978-3-658-15617-6_2

Cited by 15 publications

(4 citation statements)

References 8 publications

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“…Oftentimes the definition is limited to technical solutionism like the smart city being a collection of services and the consumption of internet technologies (Walser & Haller, 2016). This focus is also described as the "Control Room" vision of a smart city where the focus of a city is laid on central optimization and the city as a service (de Waal & Dignum, 2017).…”

Section: Future Cities and The Public Discoursementioning

confidence: 99%

Smile through the Mask: Emotion Measurement for Stationary Retail

Meyer¹,

Robra-Bissantz²

2021

34th Bled eConference Digital Support From Crisis to Progressive Change: Conference Proceedings

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The global pandemic caused by the coronavirus disease (COVID-19) changes the lives of many people all over the world. In the context of stationary retail, a strong change of customer behavior occurs as mandatory safety measures like wearing facemasks and distance regulations have come into place. The sales personnel’s ability to understand and react to customers’ emotions is critical for service interactions and the customers’ overall satisfaction. Unfortunately, facemasks make it difficult to recognize other’s emotions and may lead to misinterpretation and confusion. To address this problem, this paper proposes the design of self-assessment interfaces that offer the customer an easy way to enter their emotions. As part of a Design Science Research (DSR) project, we designed three interfaces and evaluated them over the course of a design cycle. The results indicate that it is possible to use self-assessment technology in stationary retail to measure customer emotions.

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Section: Future Cities and The Public Discoursementioning

confidence: 99%

Smile through the Mask: Emotion Measurement for Stationary Retail

Meyer¹,

Robra-Bissantz²

2021

34th Bled eConference Digital Support From Crisis to Progressive Change: Conference Proceedings

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“…A widely adopted governance model for smart city activities are public-private partnerships (PPP). It has been claimed that the use of a PPP model is an important success factor [29,30], however, also government-or industry-driven models are possible. Related to this element is the city's role in the process: does it act as customer, as facilitator or is it in a leading and controlling role?…”

Section: 22mentioning

confidence: 99%

Perspectives on smart cities strategies

Haller

Neuroni

Fraefel

et al. 2018

Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

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Many cities today claim to be or to become a "smart city". The approaches and public policy foci taken by cities differ depending on the particular context of each city, e.g., size, technology strategy, political system, current challenges and history. This paper is proposing a Smart City Strategy Framework in the form of a morphological box, describing elements relevant for a smart city strategy and their possible manifestations. The framework is based on a literature analysis and the contained elements are grouped into four dimensions: city context, governance, implementation, and infrastructure. The framework can be used to compare different cities in their approach towards becoming a smart city, and we claim that it also helps city planners to develop a strategy, guiding the evolutionary and continuous processes in their smart city. To validate the applicability of the framework, we used it in the drafting and structuring of a questionnaire to city representatives that served as preparation for an international stakeholder workshop on smart cities strategies in order to find out what strategies cities are following and what their current status is. The results of the questionnaire and the workshop hinted at common patterns for smart city strategies, and shows that maturity levels as well as cultural differences need to be taken more into account in future versions of the framework CCS CONCEPTS • Social and professional topics → Government technology policy; • Applied computing → E-government;

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“…While the term "smart city" is certainly hyped and many different activities are carried out under this label, two points are interesting when looking at cities that are generally regarded as pioneers in the field, e.g., Amsterdam, Barcelona, or Vienna. They all use a private-publicpartnership (PPP) model in order to bring together actors from different sectors and with different expertise and interests [2] [3], and the establishment of a platform for information exchange and data access is seen as a key enabler for an effective implementation of a smart city programme [4].…”

Section: Introductionmentioning

confidence: 99%

“…RDF in Attributes, see RDFa Primer: http://www.w3.org/TR/xhtml-rdfa-primer 3. JSON for Linking Data (JSON-LD) is a JSON based RDF serialization.…”

mentioning

confidence: 99%

Big Data in the Public Sector. Linking Cities to Sensors

Fraefel¹,

Haller²,

Gschwend³

2017

Lecture Notes in Computer Science

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In the public sector, big data holds many promises for improving policy outcomes in terms of service delivery and decision-making and is starting to gain increased attention by governments. Cities are collecting large amounts of data from traditional sources such as registries and surveys and from nontraditional sources such as the Internet of Things, and are considered an important field of experimentation to generate public value with big data. The establishment of a city data infrastructure can drive such a development. This paper describes two key challenges for such an infrastructure: platform federation and data quality, and how these challenges are addressed in the ongoing research project CPaaS.io.

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Smart Governance in Smart Cities

Cited by 15 publications

References 8 publications

Smile through the Mask: Emotion Measurement for Stationary Retail

Smile through the Mask: Emotion Measurement for Stationary Retail

Perspectives on smart cities strategies

Big Data in the Public Sector. Linking Cities to Sensors

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