TY - JOUR
T1 - Techno-optimism and policy-pessimism in the public sector big data debate
AU - Vydra, Simon
AU - Klievink, Bram
PY - 2019
Y1 - 2019
N2 - Despite great potential, high hopes and big promises, the actual impact of big data on the public sector is not always as transformative as the literature would suggest. In this paper, we ascribe this predicament to an overly strong emphasis the current literature places on technical-rational factors at the expense of political decision-making factors. We express these two different emphases as two archetypical narratives and use those to illustrate that some political decision-making factors should be taken seriously by critiquing some of the core ‘techno-optimist’ tenets from a more ‘policy-pessimist’ angle. In the conclusion we have these two narratives meet ‘eye-to-eye’, facilitating a more systematized interrogation of big data promises and shortcomings in further research, paying appropriate attention to both technical-rational and political decision-making factors. We finish by offering a realist rejoinder of these two narratives, allowing for more context-specific scrutiny and balancing both technical-rational and political decision-making concerns, resulting in more realistic expectations about using big data for policymaking in practice.
AB - Despite great potential, high hopes and big promises, the actual impact of big data on the public sector is not always as transformative as the literature would suggest. In this paper, we ascribe this predicament to an overly strong emphasis the current literature places on technical-rational factors at the expense of political decision-making factors. We express these two different emphases as two archetypical narratives and use those to illustrate that some political decision-making factors should be taken seriously by critiquing some of the core ‘techno-optimist’ tenets from a more ‘policy-pessimist’ angle. In the conclusion we have these two narratives meet ‘eye-to-eye’, facilitating a more systematized interrogation of big data promises and shortcomings in further research, paying appropriate attention to both technical-rational and political decision-making factors. We finish by offering a realist rejoinder of these two narratives, allowing for more context-specific scrutiny and balancing both technical-rational and political decision-making concerns, resulting in more realistic expectations about using big data for policymaking in practice.
KW - Analytics
KW - Big data
KW - Decision-making
KW - Government
KW - Network governance
KW - Policy-making
KW - Public administration
KW - Science-policy interface
UR - http://www.scopus.com/inward/record.url?scp=85066408388&partnerID=8YFLogxK
U2 - 10.1016/j.giq.2019.05.010
DO - 10.1016/j.giq.2019.05.010
M3 - Article
AN - SCOPUS:85066408388
VL - 36
JO - Government Information Quarterly: an international journal of information technology management, policies, and practices
JF - Government Information Quarterly: an international journal of information technology management, policies, and practices
SN - 0740-624X
IS - 4
M1 - 101383
ER -