[AISWorld] HICSS-56 CFP: Advances in Trust Research: How Context and Digital Technologies Matter

Jarvenpaa, Sirkka L Sirkka.Jarvenpaa at mccombs.utexas.edu
Wed Mar 30 12:01:36 EDT 2022


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 at mccombs.utexas.edu<mailto:Sirkka.Jarvenpaa at mccombs.utexas.edu>); Gene M. Alarcon (gene.alarcon.1 at us.af.mil<mailto:gene.alarcon.1 at us.af.mil>); Kirsimarja Blomqvist  Kirsimarja.blomqvist at lut.fi<mailto:Kirsimarja.blomqvist at lut.fi>; Mareike Möhlmann (mmoehlmann at bentley.edu<mailto:Mareike.Moehlmann at 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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