TY - GEN
T1 - Towards Generic Business Models of Intermediaries in Data Collaboratives
T2 - 19th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2020, held in conjunction with the IFIP WG 8.5 International Conference on Electronic Participation, ePart 2020, and the International Conference for E-Democracy and Open Government Conference, CeDEM 2020
AU - Susha, Iryna
AU - Flipsen, Maartje
AU - Agahari, Wirawan
AU - de Reuver, Mark
N1 - Funding Information:
Acknowledgements. This research received funding from the Swedish Research Council under the grant agreement 2015-06563 “Data collaboratives as a new form of innovation for addressing societal challenges in the age of data”. This paper is in part based on the work done by the second author in a scientific thesis. All copyrights on the prior work rest with the second author of the paper. Any views expressed by the second author in this paper are those of the author and do not necessarily reflect the views of her employer.
Publisher Copyright:
© 2020, IFIP International Federation for Information Processing.
PY - 2020
Y1 - 2020
N2 - Data has become a core asset, as well as a “management fashion”, of our time. It brings about unprecedented opportunities for data-driven decision making and innovation in various spheres of public life. This concerns data held by governments, as well as companies, academic institutions, non-profits, and citizens. In our study we investigate a novel form of cross-sector partnership called Data Collaborative, and namely the business models employed by intermediaries in data collaboratives. Based on an analysis of six cases, we derived four generic business models based on the level of openness and added value of the data: Data Gatekeeper model, One-stop-shop model, Information-as-a-service model, and Data Controls model. Our study contributes to the literature on data partnerships and on intermediation and information sharing more broadly.
AB - Data has become a core asset, as well as a “management fashion”, of our time. It brings about unprecedented opportunities for data-driven decision making and innovation in various spheres of public life. This concerns data held by governments, as well as companies, academic institutions, non-profits, and citizens. In our study we investigate a novel form of cross-sector partnership called Data Collaborative, and namely the business models employed by intermediaries in data collaboratives. Based on an analysis of six cases, we derived four generic business models based on the level of openness and added value of the data: Data Gatekeeper model, One-stop-shop model, Information-as-a-service model, and Data Controls model. Our study contributes to the literature on data partnerships and on intermediation and information sharing more broadly.
KW - Business model
KW - Data collaborative
KW - Data innovation
KW - Data intermediary
KW - Data partnership
KW - Intermediary
UR - http://www.scopus.com/inward/record.url?scp=85096485559&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-57599-1_23
DO - 10.1007/978-3-030-57599-1_23
M3 - Conference contribution
AN - SCOPUS:85096485559
SN - 9783030575984
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 304
EP - 315
BT - Electronic Government - 19th IFIP WG 8.5 International Conference, EGOV 2020, Proceedings
A2 - Viale Pereira, Gabriela
A2 - Janssen, Marijn
A2 - Lee, Habin
A2 - Lindgren, Ida
A2 - Rodríguez Bolívar, Manuel Pedro
A2 - Scholl, Hans Jochen
A2 - Zuiderwijk, Anneke
PB - Springer
Y2 - 31 August 2020 through 2 September 2020
ER -