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Channel choice complications: Exploring the multiplex nature of citizens' channel choices

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 139-151 (13 pages)

Publication milestones

  • Published - 2019

Publication status

Published - 2019

Place of publication

Berlin

Volume

11685

Publisher

Springer, United States, Germany

Book series

  • Book series name: LCNS International Conference on Electronic Government
978-3-030-27324-8

ISBN (Electronic)

978-3-030-27325-5

Publication IDs

  • Scopus: 85077122420

Host publication title

EGOV: International Conference on Electronic Government

Host publication editors

  • Ida Lindgren

Abstract

In spite of massive investment and increased adoption of digital services, citizens continue to use traditional channels to interact with public organizations. The channel choice (CC) field of research tries to understand citizens’ interactions with public authorities to make the interaction more efficient and increase citizen satisfaction. However, most studies have been conducted either as surveys of hypothetical services or in experimental settings, leading to a lack of empirical data from actual use contexts. Therefore, we present the results of a sequential mixed methods study which combines observations of citizen-caseworker interaction in a call center, contextual interviews with callers, and a survey classifying topics from 10,000 telephone calls. We contribute to the CC field and practice with rich empirical data from studies of actual channel choices. Specifically, the study explores the multiplex nature of real-life CC and demonstrate how telephone calls can be part of a process, which occurs across both traditional and digital channels. Moreover, we identify problems, which cause telephone calls related to digital services, and classify these in two groups: information related problems and action related problems.

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