Business Dynamics
Information systems evaluation: navigating through the problem domain
Information and Management
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
Urban sensing: out of the woods
Communications of the ACM - Urban sensing: out of the woods
Urban sensing systems: opportunistic or participatory?
Proceedings of the 9th workshop on Mobile computing systems and applications
Active citizen participation using ICT tools
Communications of the ACM - Rural engineering development
Requirements Analysis & System Design
Requirements Analysis & System Design
Proceedings of the 7th international conference on Mobile systems, applications, and services
Design and natural science research on information technology
Decision Support Systems
Participatory noise pollution monitoring using mobile phones
Information Polity - Government 2.0: Making Connections between citizens, data and government
Design science in information systems research
MIS Quarterly
MIS Quarterly
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Involving citizens in public affairs through the use of participatory sensing applications is an emerging theme in Pervasive Computing and mobile E-Government (M-Government). Prior work, however, suggests that local governments place more emphasis on internal than on external M-Government projects. This paper takes an action design research perspective to provide insight into the often overlooked potential of citizen-centric, external M-Government services. We consider the scenario of a sensing application for reporting urban infrastructure issues to the municipality and present a System Dynamics model to estimate the diffusion, use, and municipal impacts of such service. The model is validated based on the case of a large German city, a dedicated survey, and further data sources. The simulation results indicate that, compared to internal information acquisition procedures, the use of urban sensing can improve a municipality's availability of environmental information at a comparable level of cost. Furthermore, we discuss a number of aspects and learnings related to an urban sensing implementation and provide an empirical estimation of the diffusion model. Our results provide an impetus for researchers and government practitioners to reconsider the benefits of urban sensing applications in E-Government endeavors.