Fwd: [wkwi] Call for Papers SI I&O: Verlängerung der Einreichfrist - Cfp

1 Nov 2021


      -------- Forwarded Message --------
Subject: 	[wkwi] Call for Papers SI I&O: Verlängerung der Einreichfrist
Date: 	Mon, 1 Nov 2021 13:30:54 +0000
From: 	Wessel, Lauri Wessel@europa-uni.de
Reply-To: 	Wessel, Lauri Wessel@europa-uni.de
To: 	wkwi@listserv.dfn.de wkwi@listserv.dfn.de
Liebe Kolleginnen und Kollegen,
Gerne möchte ich Sie darauf aufmerksam machen, dass die Einreichfrist im 
Call for Papers der Special Issue “Data Governance, Digital Innovation, 
and Societal Challenges” in *Information & Organization* (VHB JQ 3 „B“; 
CABS AJG „3“) auf den *22. November 2021 verlängert wurde*. Wir freuen 
uns über Einreichungen aus der WINFO-Community!
https://www.journals.elsevier.com/information-and-organization/call-for-pape... 
https://www.journals.elsevier.com/information-and-organization/call-for-papers/data-governance-digital-innovation-and-grand-challenges
Beste Grüße
Lauri Wessel
*Information and Organization*
*Call for Papers Special issue on *
*Data Governance, Digital Innovation and Grand Challenges*
**
**
*_Guest Editors: _*
Elizabeth Davidson, University of Hawai’i, Shidler College of Business
Jenifer Winter, University of Hawai’i, School of Communications
Lauri Wessel, European New School of Digital Studies @ European 
University Viadrina Frankfurt (Oder)
Susan Winter, University of Maryland College Park, School of Information 
Studies
Today, previously unimaginable varieties and volumes of data about 
nearly all aspects of human actions are collected, aggregated, and 
analyzed (Abbasi et al. 2016; George et al. 2014; Lycett 2013). These 
data are valuable resources for multiple stakeholders to extract value 
consistent with their interests and priorities, which may support or 
conflict with other stakeholders’ interests (Gangadharan 2014; Winter 
2014). Data resources are typically treated as proprietary assets of the 
organizations (and IT platforms) that capture or otherwise acquire data 
(Data Governance Institute, nd). However, if we consider data as 
societal resources rather than (or in addition to) privately held 
assets, then how data governance takes shape and whether governance 
addresses diverse goals, priorities, and interests become important 
research and policy questions (Rosenbaum, 2010; Winter and Davidson, 
2017; Zuboff 2015).
/Data governance/is a broad concept that includes the processes and 
institutional structures for managing data, and the policies and 
practices for granting accessing to and authorizing acceptable uses of 
data (Data Governance Institute, nd ; Rosenbaum, 2010). Information 
technologies and systems not only generate the growing stockpiles of 
digitized data but are also crucial elements in data governance policies 
and practices (Legner et al., 2020; Markus and Bui, 2012).
Our goals in this special issue are to stimulate and advance academic 
and practice-focused knowledge on data governance that addresses the 
broad range of research questions associated with advancing digital 
innovation and for meeting grand challenges.
/Data governance and digital innovation.**/There is immense potential 
for digital innovation with emerging technologies such as AI, machine 
learning, analytics, and IoT. These emerging technologies depend in 
large part on large, accessible data resources, for instance in 
AI/machine learning. Whether data collected in once context can be 
effectively, fairly and ethically applied in other contexts raises data 
governance and stewardship issues, such as whether a data set is 
implicitly biased or whether individuals whose data are represented 
consent to this reuse or not (Gangadharan2014; Janssen et al. 2013; 
Winter 2014; Zuboff 2015). Equally important are questions about 
facilitating access to and reuse of data for innovation.  Addressing 
such questions entail an array of policy, organizational, practice, and 
technological approaches (George et al, 2014). *//*
/Data governance and grand challenges: /Grand challenges are critical 
national or global problems, which might be solved though science, 
technology and innovation but which require moving beyond existing 
organizational, technological, and scientific approaches. There is 
immense potential for data resources to be used to address grand 
challenges such as uneven economic development, government transparency, 
energy conservation, and advances in medical research and care, to name 
just a few. How potentially relevant data are governed – by whom, for 
what purposes, on whose behalf and through what sociotechnical actions 
and structures – present imperative questions to business leaders, 
policy makers, technologists, and researchers(Perkmann and Schildt, 
2015; Susha et al, 2017).//
We seek submissions that address how the benefits, risks, and 
consequences of today’s data-rich world can be understood and managed, 
in part, through the lens of data governance, so thatdata resources 
might be harnessed for innovation and societal good amidst many 
competing value claims and substantial risks for privacy and security. 
Topics of interest include, but are not limited to:
·Cases / analyses of organizational forms and practices for governing 
data in specific socio-economic contexts (healthcare, education, energy 
use, commerce, sports, etc.) that contribute to social-theoretical 
understanding of data governance.
·Administrative, organizational and technological practices that allow 
anonymized personal data to be shared for research or policy, as well as 
risks of re-identification. _Papers specifying algorithms are not 
appropriate for this journal_, though organizational application of 
technological solutions may be.
·Ethical and practical concerns for researchers or policy makers 
repurposing data resources with businesses, technology firms, and other 
researchers.
·Rationalities or logics that guide policy and decision-making about 
data aggregation, stockpiling, monetizing, reuse within and across 
organizational settings.
·Theory-informed studies of the implications of privacy and data use 
regulations (e.g., GDPR, California data use law) on organizational 
practices for data governance.
·Case studies of how “privacy by design” is implemented and the 
implications for data governance.
·Data stewardship roles, responsibilities, processes or practices for 
ensuring data resources have sufficient quality for intended uses, eg. 
are accurate, complete and/or representative for intended uses.
·Opportunities, problems, or failures of data stewardship and 
governance; unintended consequences of utilizing aggregated data beyond 
the context where data originates.
·Cases / analyses of data governance challenges that inform policy and 
regulatory innovation or reform related to data governance (in local, 
national, or international jurisdictions).
·Studies that develop design theory about how to design data governance 
structures and practices for addressing grand challenges.
Regular submission to /Information and Organization/, as well as 
submissions to the Research Impact and Contributions to Knowledge (RICK) 
section will be considered. Authors are encouraged to review the aims 
and scope statement for the journal 
(https://www.journals.elsevier.com/information-and-organization 
https://www.journals.elsevier.com/information-and-organization) and 
review abstracts of recent publications via the Science Direct link on 
the website to better understand the journal’s focus and publication 
genre. Regular submissions should have the potential for a substantive 
contribution to theory that complements empirical results or case 
studies reports. RICK submissions are briefer (5000 words) and address 
the impact or translation of scholarly knowledge broadly. Authors 
considering a RICK submission should review the overview of RICK genre 
on the website and recent RICK publications 
(https://www.journals.elsevier.com/information-and-organization/call-for-pape... 
https://www.journals.elsevier.com/information-and-organization/call-for-papers/special-section-call-for-papers-research-impact-and-contribt).
__
_Important dates:_
Submission deadline:      November 22, 2021
First round decisions:      April 15, 2022
Revisions due:                September 15, 2022
Second round decisions:  December 15, 2022
Final submission:            January 31, 2023
References
Abbasi, Ahmed, Suprateek Sarker, and Roger HL Chiang. "Big data research 
in information systems: Toward an inclusive research agenda." /Journal 
of the Association for Information Systems/ 17.2 (2016): 3.
Data Governance Institute. (nd). Data governance definition. Retrieved 
from http://www.datagovernance.com/adg_data_governance_definition/ 
http://www.datagovernance.com/adg_data_governance_definition/
Gangadharan, S. (Ed.) (2014). /Data and discrimination:  Collected 
essays/. Washington DC: Open Technology Institute.
George, G., Haas & Pentland. 2014. “Big Data and Management,” Academy of 
Management Journal (57:2), pp. 321-326.
Janssen, M., Brous, P., Estevez, E., Barbosa, L. S., & Janowski, T. 
(2020). Data governance: Organizing data for trustworthy Artificial 
Intelligence. /Government Information Quarterly/, 101493.
Legner, Christine, Tobias Pentek, and Boris Otto. "Accumulating Design 
Knowledge with Reference Models: Insights from 12 Years’ Research into 
Data Management." /Journal of the Association for Information 
Systems/ 21.3 (2020): 2.7
Link, Georg J.P.; Lumbard, Kevin; Conboy, Kieran; Feldman, Michael; 
Feller, Joseph; George, Jordana; Germonprez, Matt; Goggins, Sean; Jeske, 
Debora; Kiely, Gaye; Schuster, Kristen; and Willis, Matt (2017) 
"Contemporary Issues of Open Data in Information Systems Research: 
Considerations and Recommendations," Communications of the Association 
for Information Systems: Vol. 41 , Article 25.
Lycett, M. 2013 “Datafication”: Making Sense of (Big) Data in a Complex 
World,” European Journal of Information Systems (22:4), pp. 381-386.
Markus, M. L., & Bui, Q. N. (2012). Going concerns: The governance of 
interorganizational coordination hubs. /Journal of Management 
Information Systems/, /28/(4), 163-198.
Perkmann, M., & Schildt, H. (2015). Open data partnerships between firms 
and universities: The role of boundary organizations. /Research Policy/, 
/44/(5), 1133-1143.
Rosenbaum, S. 2010. “Data Governance and Stewardship: Designing Data 
Stewardship Entities and Advancing Data Access”, Health Services 
Research (45:5p2), pp. 1442-1455.
Susha, I., Janssen, M., Verhulst, S. (2017) Data collaboratives as 
“bazaars”?: A review of coordination problems and mechanisms to match 
demand for data with supply. /Transforming Government: People, Process 
and Policy, 11/(1): 157-172
Winter, J.S. (2014). Surveillance in ubiquitous network societies: 
Normative conflicts related to the consumer in-store supermarket 
experience in the context of the Internet of Things. /Ethics and 
Information Technology, 16/(1), 27-41. doi:10.1007/s10676-013-9332-3.
Winter, J.S., & Davidson, E.  (2017). “Investigating values in personal 
health data governance models.” 23^rd Americas Conference on Information 
Systems (AMCIS). August 2017, Boston, MA.
Zuboff, S. 2015. “Big Other: Surveillance Capitalism and the Prospects 
of an Information Civilization,” Journal of Information Technology 
(30:1), pp. 75-89.
Prof. Dr. Lauri Wessel
Full Professor of Information Management &
Digital Transformation
European New School of Digital Studies
+49-335-5534-16-6833 | +48 61 829 6888
wessel@europa-uni.de
https://europeannewschool.eu/digital-transformation
European University Viadrina
Große Scharrnstr. 59
DE-15230 Frankfurt (Oder)
Collegium Polonicum
ul. Kościuszki 1
PL-69-100 Słubice
Study at ENS
*_CALL FOR PAPERS:_*
/Special Issue “Data Governance, Digital Innovation, and Societal 
Challenges” in Information & Organization – submit your best work! 
https://www.journals.elsevier.com/information-and-organization/call-for-pape...
//
*_CHECK OUT OUR LATEST PUBLICATIONS:_*
Wessel, L., Baiyere, A., Ologeanu-Taddei, R., Cha, J., Jensen, T. B. 
”Unpacking the Difference between Digital Transformation and IT-enabled 
Organizational Transformation”. (forthcoming) Journal of the Association 
for Information Systems. 
https://www.researchgate.net/publication/339947001_Unpacking_the_Difference_...
Wessel, L., Davidson, E.; Barquet, A., Rothe, H., Peters, O., Megges, H. 
(2019) “Configuration in Smart ServiceSystems: A Practice-based 
Inquiry.” Information Systems Journal, 29(6), 1256-1281. 
https://doi.org/10.1111/isj.12268
Rothe, H., Wessel, L., Barquet, A. (2020) “Accumulating Design 
Knowledge: A Mechanisms-based Approach”. Journal of the Association for 
Information Systems, 21(3):1. DOI: 10.17705/1jais. 
https://www.researchgate.net/publication/333429644_Accumulating_Design_Knowl...
Wessel, L., Rothe, H., & Oborn, E. (2021). “Introduction to the WI2021 
Track: Creating Value through Digital Innovation in Health Care.” 
Proceedings of the 16th International Conference on 
Wirtschaftsinformatik. https://doi.org/10.13140/RG.2.2.32742.45126
Thomas, O., Hagen, S., Frank, U., Recker, J., Wessel, L., Kammler, F., 
Zarvic, Novica, Timm, I. (2020). Global Crises and the Role of BISE. 
Business and Information Systems Engineering, 62(4), 385–396. 
https://doi.org/10.1007/s12599-020-00657-w 
https://doi.org/10.1007/s12599-020-00657-w
Haack, P., Sieweke, J., Wessel, L. (Eds.) (2019) “Microfoundations of 
Institutions.“ Research in the Sociology of Organizations Volume 65A&65B 
(Double Volume), Emerald. 
https://books.emeraldinsight.com/page/detail/Microfoundations-of-Institution...
Haack, P., Sieweke, J., Wessel, L. (2019) “Microfoundations and 
Multi-Level Research on Institutions,” in: Research in the Sociology 
Organizations “Microfoundations of Institutions“, 65A, 11-40. 
https://www.researchgate.net/publication/334773190_Microfoundations_and_Mult...
Ologeanu-Taddei, R., Wessel, L., Bourdon, I. 2019 “Persistent Paradoxes 
in Pluralistic Organizations: A Case Study of Continued Use of Shadow-IT 
in a French Hospital”. 40th International Conference on Information 
Systems. 
https://www.researchgate.net/publication/336044337_Persistent_Paradoxes_in_P...