[AISWorld] CfP Electronic Markets: "Data economy in a globalized world: Opportunities and challenges for public and private organizations"
editors at electronicmarkets.org
editors at electronicmarkets.org
Mon Jul 18 09:35:10 EDT 2022
--- Apologies for cross-postings---
Dear colleagues,
Electronic Markets is seeking submissions for a Special Issue on Data
economy in a globalized world: Opportunities and challenges for public and
private organizations. Please find further details below.
Call for Papers: Data economy in a globalized world: Opportunities and
challenges for public and private organizations
Submission deadlines:
Article proposal due (not more than 1000 words): November 15, 2022
Proposal notification sent: December 15, 2022
Full articles submissions due: April 01, 2023
Guest Editors
o Mark de Reuver (Primary Contact), Delft University of Technology,
G.A.deReuver at tudelft.nl
o Hosea Ofe, Delft University of Technology, H.A.ofe at tudelft.nl
o Mila Gasco, University at Albany, State University of New York,
mgasco at albany.edu
o Boriana Rukanova, Delft University of Technology,
B.D.Rukanova at tudelft.nl
o J Ramon Gil-Garcia, University at Albany, State University of New
York, jgil-garcia at albany.edu
o Yao-hua Tan, Delft University of Technology, Y.Tan at tudelft.nl
Theme
Because of digitalisation and the intensive use of Information and
Communication Technologies (ICT), public and private organisations are
generating, collecting and analysing massive amounts of data. For example,
it is estimated that the production of data will grow from 33 zettabytes in
2018 to 175 zettabytes by 2025 (European Commission, 2020). These data are
generated from multiple data sources, including but not limited to mobile
devices, social media platforms, cloud computing facilities, and government
infrastructures. In addition, data are increasingly accessible through
data-exchange platforms that transcend organizational and even industry
boundaries (Beverungen et al., 2022).
The massive availability of data creates several opportunities for public
and private organizations. For example, data enable new ways to create and
capture value (Fürstenau et al., 2021). Private parties are looking at new
business models to monetise data (Loebbecke & Picot, 2015). Public
organizations are exploring how to use external data to streamline their
tasks: ranging from public service delivery during disasters (Morabito,
2015) to improving transparency of data to monitor circular economy flows in
supply chains (Alt, 2021).
The essential role of data for socio-economic activities also poses
significant challenges at multiple levels for many organisations. On a
strategic level, competing and conflicting goals may arise between
organizations sharing data, especially if organizations operate in distinct
institutional settings (Aaen, Nielsen, & Carugati, 2021). Regarding
governance, organisations must consider an evolving landscape of stringent
rules and norms when exchanging, processing, and extracting value from data
(Janssen, Brous, Estevez, Barbosa, & Janowski, 2020). On a technical level,
data exchanged among multiple actors may result in identity management,
privacy, and security concerns (Ishmaev, 2021). To harness these challenges,
solutions are likely needed that address strategic, governance and technical
aspects.
Further, while prior research emphasises that data are critical for
organisations, concerted efforts examining governance in data-centric
ecosystems and collaborations between private and public organisations are
lacking (Abraham, Schneider, & Vom Brocke, 2019). More broadly, detailed
insights and implications of fundamental aspects such as privacy and
stakeholder trust in the data economy are needed.
This special issue intends to advance current theoretical and empirical
knowledge on organising in the data economy. We are interested in a broad
range of contributions using quantitative, qualitative, or mixed research
approaches. More specifically, we call for papers that advance our
understanding of the impact of data governance, strategies, management, and
analytics in organizing in the data economy. We are also interested in the
impact of the data-rich environment on privacy, business models, and
inter-organisational collaboration.
Central issues and topics
Examples of potential research topics may include but are not limited to the
following:
o Characteristics of data and impacts on data governance
o Data analytics and organisational change processes
o Privacy-enhancing business models
o Data management practices in the new data-rich environment
o Scaling strategies for data platforms
o Governance of private-public data-sharing partnerships
o Data governance models promoting privacy
o New forms of trust emerging in data-sharing collaborations
o Reliability and authenticity of datasets
o Sociotechnical solutions to challenges in the data economy
o Best practices for data visibility and transparency across platforms
and ecosystems
o Competing tensions and solutions in data-driven collaborations
o Data sharing in the context of circular economy and sustainability
Submission
Electronic Markets is a Social Science Citation Index (SSCI)-listed journal
(IF 6.017 in 2021) in the area of information systems. We encourage original
contributions with a broad range of methodological approaches, including
conceptual, qualitative, and quantitative research. Please also consider
position papers and case studies for this special issue. All papers should
fit the journal scope (for more information, see
www.electronicmarkets.org/about-em/scope/) and will undergo a double-blind
peer-review process. All papers must be original, not published, or under
review elsewhere. Papers must be submitted via our electronic submission
system at elma.edmgr.com. The preferred average article length is
approximately 10,000 words, excluding references. Instructions, templates
and general information are available at
www.electronicmarkets.org/authors/general-information/. You may contact the
guest editors if you would like to discuss any aspect of this special issue.
Important deadlines
Article proposal due (not more than 1000 words): November 15, 2022
Proposal notification sent: December 15, 2022
Full articles submissions due: April 1, 2023
References
Aaen, J., Nielsen, J. A., & Carugati, A. (2021). The dark side of data
ecosystems: A longitudinal study of the DAMD project. European Journal of
Information Systems, 1-25.
Abraham, R., Schneider, J., & Vom Brocke, J. (2019). Data governance: A
conceptual framework, structured review, and research agenda. International
Journal of Information Management, 49, 424-438.
https://doi.org/10.1016/j.ijinfomgt.2019.07.008
Alt, R. (2021). How to organize for AI? An interview with Yao-Hua Tan.
Electronic Markets, 31(3), 639642.
https://doi.org/10.1007/s12525-021-00497-w
Beverungen, D., Hess, T., Köster, A., & Lehrer, C. (2022). From private
digital platforms to public data spaces: Implications for the digital
transformation. Electronic Markets, 32(2).
https://doi.org/10.1007/s12525-022-00553-z
European Commission. (2020). A European strategy for data.
https://ec.europa.eu/info/sites/default/files/communication-european-strateg
y-data-19feb2020_en.pdf
Fürstenau, D., Klein, S., Vogel, A., & Auschra, C. (2021). Multi-sided
platform and data-driven care research.
Electronic Markets, 31(4), 811828.
https://doi.org/10.1007/s12525-021-00461-8
Ishmaev, G. (2021). Sovereignty, privacy, and ethics in blockchain-based
identity management systems. Ethics and Information Technology, 23(3),
239-252. https://doi.org/10.1007/s10676-020-09563-x
Janssen, M., Brous, P., Estevez, E., Barbosa, L. S., & Janowski, T. (2020).
Data governance: Organising data for trustworthy Artificial Intelligence.
Government Information Quarterly, 37(3), 101493.
https://doi.org/10.1016/j.giq.2020.101493
Loebbecke, C., & Picot, A. (2015). Reflections on societal and business
model transformation arising from digitisation and big data analytics: A
research agenda. The Journal of Strategic Information Systems, 24(3),
149-157. https://doi.org/10.1016/j.jsis.2015.08.002
Morabito, V. (2015). Big data and analytics for government innovation. In
Big data and analytics (pp. 23-45): Springer.
https://doi.org/10.1007/978-3-319-10665-6_2
Best regards,
Rainer Alt, Hans-Dieter Zimmermann, Ramona Coia
====================================================================
Electronic Markets - The International Journal on Networked Business
Editors-in-Chief: Rainer Alt, Leipzig University and Hans-Dieter Zimmermann,
FHS St.Gallen, University of Applied Sciences
Executive Editor: Ramona Coia, Leipzig University Editorial Office:
c/o Information Systems Institute
Leipzig University
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