TY - GEN
T1 - Understanding datafication effects of open government information systems - A contemporary systems thinking approach
AU - Marjanovic, Olivera
AU - Cecez-Kecmanovic, Dubravka
N1 - Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2017
Y1 - 2017
N2 - This paper contributes to an improved understanding of datafication effects of open government Information Systems (IS). We focus on a particular category of these IS that is designed to provide open performance data of a public sector (education, health, social services) in the name of accountability and transparency. While acknowledging possible positive datafication effects, in this paper we investigate the negative ones caused by propagation and reuse of open performance data. Using contemporary systems thinking as a theoretical lens, we identify three main types of datafication mechanisms, explain their underlying systemic manifestations and illustrate their societal effects. Drawing insights from a longitudinal research case study of a large-scale open government IS in Australia, we ‘unpack’ mutually-shaping relationships between technology and human behavior, reinforced by various feedback loops within a wider societal system.
AB - This paper contributes to an improved understanding of datafication effects of open government Information Systems (IS). We focus on a particular category of these IS that is designed to provide open performance data of a public sector (education, health, social services) in the name of accountability and transparency. While acknowledging possible positive datafication effects, in this paper we investigate the negative ones caused by propagation and reuse of open performance data. Using contemporary systems thinking as a theoretical lens, we identify three main types of datafication mechanisms, explain their underlying systemic manifestations and illustrate their societal effects. Drawing insights from a longitudinal research case study of a large-scale open government IS in Australia, we ‘unpack’ mutually-shaping relationships between technology and human behavior, reinforced by various feedback loops within a wider societal system.
UR - https://www.scopus.com/pages/publications/85108243095
U2 - 10.24251/hicss.2017.329
DO - 10.24251/hicss.2017.329
M3 - Conference proceeding contribution
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 2731
EP - 2740
BT - HICSS 2017
A2 - Bui, Tung X.
PB - University of Hawaii at Manoa
CY - Honolulu, HI
T2 - Annual Hawaii International Conference on System Sciences (50th : 2017)
Y2 - 3 January 2017 through 7 January 2017
ER -