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DBLP
Conference object . 2023
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The Relationship Between Outbound and Inbound Communication in Government-to-Citizen Interaction.

Authors: Østergaard Madsen, Christian; Pieterson, Willem; Hofmann, Sara;

The Relationship Between Outbound and Inbound Communication in Government-to-Citizen Interaction.

Abstract

While many citizens have adopted digital channels for public service interaction, the use of traditional channels remains high, preventing economic benefits from digitalization. The channel choice (CC) and multi-channel management (MCM) fields of echoice of channels and the management of service interactions across channels. Research has mostly focused on either the citizen or organizational side and single channel communication. visits) is understudied. Therefore, we present a longitudinal quantitative study, which analyzes channel traffic data from two service areas, pensions, and parental leave, across three channels (letters, telephone calls, website visits). We apply interactivity theory and the concept of multiplexity to guide our analysis. We seek to offer contributions to the CC and MCM literature by demonstrating a relationship between outbound and inbound communication and the multiplex nature of government-citizen interaction.

Countries
Denmark, Norway
Related Organizations
Keywords

Multiplexity, 330, Multi-channel management, Channel choice, Mixed Methods, VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green