-------- Forwarded Message --------
The minitrack of Advances in Trust Research: How Context and
Digital Technologies Matter, part of Organizational Systems and
Technology track) January 03-06, 2023
(
http://hicss.hawaii.edu)
<about:blank>.
Minitrack Co-chairs: Sirkka L. Jarvenpaa
(
Sirkka.Jarvenpaa@mccombs.utexas.edu<mailto:Sirkka.Jarvenpaa@mccombs.utexas.edu>);
Gene M. Alarcon
(
gene.alarcon.1@us.af.mil<mailto:gene.alarcon.1@us.af.mil>);
Kirsimarja Blomqvist
Kirsimarja.blomqvist@lut.fi<mailto:Kirsimarja.blomqvist@lut.fi>;
Mareike Möhlmann
(
mmoehlmann@bentley.edu<mailto:Mareike.Moehlmann@wbs.ac.uk>)
Deadline for submission of full manuscripts: June 15, 2022
We welcome papers that theoretically or empirically advance our
understanding by addressing advances in trust research and digital
technologies in organizations. Particularly, we are interested in
papers that unpack the specifics of the information systems and
technologies in question and focus on the role of specific
contexts in shaping trust beliefs. Papers can use any acceptable
methodology and theory. We welcome papers at any level of analysis
and encourage papers that take a cross-level and/or
interdisciplinary perspective. Some possible topic areas include
but are not limited to the following:
* Differences of trust in rule-based (non-learning) compared to
complex learning (AI) algorithms
* How does trust in the same digital technology differ across
different contexts (e.g., the algorithmic management and control
of workforce, face-recognition tools, security, and predictive
policing applications)?
* How does trust in digital technologies differ across
institutional and cultural contexts, e.g., with different
regulation, legislation, organizational or professional cultures?
Different forms of distrust and trust and the future of work on
digital platforms and in organizations
* How does distrust and trust research help us to make sense out
of the changes in the workplace from the COVID-19 pandemic?
* Different approaches to trust in AI compared to trust in
non-learning contexts
* Understanding distrust and trust, the explainability of AI, and
algorithmic transparency
* Understanding how distrust and trust in organizations is
affected by computer-mediated teaming, and how trust can be built
to support in AI supporting computer-mediated teaming
* Understanding trust, distrust, vigilance, and surveillance in
telework as well as people analytics. When do trust and control
coexist, and when do they hamper or support adopting digital
technologies?
* Understanding issues of digital trust, reputation, and risk in
the context of computer mediated teams and other platform-based
organizations, e.g., in the digital platform, among the users of
the platform, in the organization behind the platform, in
financial and other transactions conducted through the platform.
* Understanding virtual reality, avatars, and distrust/trust
research
* Understanding trust in AI and distrust/trust in work contexts in
which organizations and platforms employ algorithmic management
and algorithmic control
* What are the possibilities and challenges in stakeholder
participation to build trust in digital technologies?
* Understanding the role of distrust and trust in the development
of algorithms, e.g., functions, openness of coding, data
collection.
* Understanding the relationship between an organization's
handling of its users' data, e.g., privacy/integrity/security, use
of the cloud, and trust in the organization
* How do changes in distrust/trust influence identity and
identification processes?
* Understanding the role of distrust/trust between users and
emerging technologies, e.g., teleconferencing, personal robots,
smart toys, wearables, personal voice assistants, 3D printing,
autonomous vehicles, drones.
* Understanding the relationship between distrust and trust and
the development and dynamics of self-regulated, decentralized,
peer-to-peer networks.
* How does distrust and trust change in blockchain technology and
cryptography contexts?
* How does distrust and trust evolve in complex and multi-layered
environments such as digital platforms?
* Understanding the relationship between distrust/trust, identity,
control, and influence in digital environments.
* Understanding the role of AI and distrust/trust in complex
organizational decision making
* Understanding how norms and policies at organizational level
influence distrust/trust in AI or automation development and
adoption
IMPORTANT DATES FOR CALL FOR PAPERS
June 15, 2022 Submission full manuscripts
August 17, 2022 Acceptance Notifications
September 22, 2022 Deadline for Final Manuscript
October 1, 2022 Deadline for at least one author to register
Minitrack Co-Chairs:
Sirkka L. Jarvenpaa is the James Bayless/Rauscher Pierce Regents
Chair in Business Administration at the McCombs School of
Business, University of Texas at Austin where she is the director
of the center for Business, Technology, and Law. During 2008-2012,
she held the Finnish Distinguished Professorship at Aalto
University School of Science and Technology. She has held visiting
professorships in leading business schools in the U.S. and Asia.
She has served as the editor-in-chief of the Journal of
Association for Information Systems, co-editor-in-chief of
Strategic Information Systems, and as the senior editor of
Organization Science, Information Systems Research, and MIS
Quarterly. She is a recipient of three honorary doctoral degrees.
In 2017, she was awarded the Association for Information Systems
(AIS) LEO Award for Exceptional Lifetime Achievement in the field
of information systems.
Gene M. Alarcon received his Ph.D. in Industrial Organizational
Psychology and Human Factors Psychology from Wright State
University in 2009. Dr. Alarcon's research interests are trust,
statistics and personality. This includes, trust in code, trust in
automation, trust in robotics and interpersonal trust. Currently,
Dr. Alarcon is a Senior Research Psychologist with the Air Force
Research Laboratory Airman Systems Directorate in Wright Patterson
AFB, OH.
Kirsimarja Blomqvist is a Professor for Knowledge management at
the School of Business and Management at LUT University, Finland.
Her research focuses on trust, knowledge, innovation,
digitalization and new forms of organizing. She is a founding, and
board member for FINT, First International Network for Trust
researchers and serves as Associate Editor for Journal of Trust
Research. She is a frequent speaker of her research topics and a
member of the National expert committee on research on AI and
digitalization. .
Mareike Möhlmann is Assistant Professor at Bentley University.
Previously, she worked as an Assistant Professor in Bentley and
postdoctoral researcher in the IOMS Department at the Stern School
of Business/New York University. She obtained her PHD at the
University of Hamburg in Germany. Her current research focuses on
digital trust, so-called sharing economy services and the gig
economy, digital platforms, and algorithmic management.
More info:
http://hicss.hawaii.edu
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