Digital Citizen Co-Production and the Role of Public Service Motivation

Neumann, Oliver; Stürmer, Matthias (20 April 2017). Digital Citizen Co-Production and the Role of Public Service Motivation. In: 21st Annual IRSPM (International Research Society for Public Management) conference. Budapest, Hungary. 19.-21.04. 2017.

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In recent times, a growing involvement of public organizations in the process of digitalization can be observed (Mergel, Rethemeyer & Isett, 2016). In this context, one area of particular importance is the increasing use of information and telecommunications technology (ICT) as a tool to facilitate citizen-government interaction. This development holds substantial opportunities for government to have more people engage in the co-production of public services. Simultaneously, government can improve its relationship with citizens through intensified exchange, greater openness, and more transparency (Harrison et al., 2012). Furthermore, ICT-based co-production can help improve the quality and effectiveness of public services (Chun et al., 2010; Fang, 2002). Consequently, a research question of paramount importance is what motivates individuals to engage in co-production with government. While this question has received a fair amount of scholarly attention in the past (e.g. Jakobsen, 2013; Thomsen, 2015; Van Eijk & Steen, 2015), to our knowledge, no studies exist on what the motivational drivers of co-production are when carried out though the intensifying digital links between government and citizens. This study seeks to fill this void by investigating the motivational specificities of digital co-production. To this end, we have collected data from over 800 users of an online tool run by the city of Zurich in Switzerland which allows users to digitally report damages in the city’s infrastructure via their smartphones. In this survey, we asked participants about their motivations to use the app, particularly focusing on the concept of public service motivation (PSM) (Perry & Wise, 1990). We now plan to link the survey data to a dataset containing the actual number of reports each user has filed and analyze how this measure of a behavioral outcome relates to the various motivations. Thus, as the response variable is count data, we will rely on poisson regression as an analytical method.

Item Type:

Conference or Workshop Item (Abstract)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management

UniBE Contributor:

Neumann, Oliver and Stürmer, Matthias

Subjects:

000 Computer science, knowledge & systems
300 Social sciences, sociology & anthropology > 330 Economics
300 Social sciences, sociology & anthropology > 350 Public administration & military science
600 Technology > 650 Management & public relations

Language:

English

Submitter:

Matthias Stürmer

Date Deposited:

03 Apr 2018 15:21

Last Modified:

03 Apr 2018 15:21

Uncontrolled Keywords:

Public Service Motivation

BORIS DOI:

10.7892/boris.114066

URI:

https://boris.unibe.ch/id/eprint/114066

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