[AISWorld] CALL FOR PAPERS HICSS 2024 Minitrack on Advances in Trust Research

Tue May 16 12:06:26 EDT 2023

TRACK: ORGANIZATIONAL SYSTEMS AND TECHNOLOGY

Minitrack: Advances in Trust Research: Does Trust Matter in Advanced Technology Contexts? How, Why, and When?

http://hicss.hawaii.edu

Within the 57th Hawaiian International Conference on System Sciences (HICSS), we organize a minitrack on "Advances in Trust Research: Does Trust Matter in Advanced Technology Contexts? How, Why, and When?" HICSS is one of the most prominent conferences on Information Systems and Sciences worldwide (http://hicss.hawaii.edu)<about:blank>.

Due to advances in digital technologies such as artificial intelligence and increasing access to vast amounts of data, organizations continue to innovate to enhance or augment various internal and external activities and work processes such as management, decision-making, coordination, and control. Advanced technology contexts include but are not limited to flexible work arrangements, algorithmic management and control of the workforce, face-recognition tools, security applications, predictive analytics, the usage of blockchain technology, people analytics, the wide spread of digital platforms, and sophisticated general artificial intelligence tools. These developments can be observed across industries such as health care, transportation services, the financial industry, and in policing.

For a long time, trust has been seen as pivotal to effectively and efficiently manage novel digital technologies. Researchers have approached advanced technologies as tools (Barley, 1996; Anthony, 2021) augmenting human cognition and requiring the human trust to be adopted. Advanced technologies can also be seen as mediums supporting collaboration and related communication (Bechky, 2003), and more recently also as broader systems where technologies, developers, users, and partners have various relationships (Anthony, Bechky, and Fayard, 2023) impacting technology adoption and use. Increasingly, in addition to multi-referent and multi-level views on trust in advanced technologies (van der Werff et al. 2021), temporal issues and process research can also enlighten information systems research on the role of trust in advanced technology contexts.

Trust is the positive expectation of the conduct of the referent in a specific situation involving perceived risk or vulnerability. But does trust remain relevant in the advanced technology contexts with surmounting challenges? What role does trust play in addressing digital responsibility? Is trust necessary and or sufficient to address the dark side and the critical ethical, legal, and moral dilemmas of advanced digital technologies? Can trust have downsides and result in misspecifications? Whose trust matters, what type of trust and trust processes, how, why, and when? How does trust change over time? Some scholars argue that the system- or institution-based trust provided by digital technologies at least partly replaces the need for interpersonal trust (Lumineau, et al. 2020). Digital platforms such as Uber and Airbnb already enhance trust between unfamiliar individuals (Möhlmann 2021), and blockchains automate contracts with unknown partners (Lumineau et al. 2021). The opaque nature of some advanced technologies like artificial intelligence, which are often perceived to be "black-boxes" that are difficult to understand for users and managers alike, makes trusting them challenging. Artificial intelligence has been described as invisible, inscrutable, and constantly evolving (Anthony et al. 2023). How is trust in artificial intelligence context different? What trust questions should be raised but are missing or ignored in the context of advanced technologies?

We need more research to increase our understanding about whether trust matters and how and why at different levels of analysis, i.e., individuals, teams, organizations, meta-organizations, and society. We welcome research that considers any advanced technology context. We also welcome historical studies that examine trust with past advanced technologies (perhaps more mechanically advanced than digitally) (e.g., trust and misinformation at the era of Gutenberg printing press).

We welcome papers that theoretically or empirically advance our understanding by addressing advances in trust research and digital technologies in organizations. 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. We also welcome theoretical papers as well as those that deploy novel methodologies or develop novel methodologies or constructs relevant to trust research.

Minitrack Co-Chairs:

Sirkka L. Jarvenpaa (Primary Contact), McCombs School of Business, The University of Texas at Austin, Sirkka.Jarvenpaa at mccombs.utexas.edu<mailto:Sirkka.Jarvenpaa at mccombs.utexas.edu>

Gene M. Alarcon, Airman Systems Directorate, Air Force Research Laboratory, gene.alarcon.1 at us.af.mil<mailto:gene.alarcon.1 at us.af.mil>

Kirsimarja Blomqvist, School of Business, LUT University, Kirsimarja.blomqvist at lut.fi<mailto:Kirsimarja.blomqvist at lut.fi>

Mareike Möhlmann, Bentley University, mmoehlmann at bentley.edu<mailto:Mareike.Moehlmann at wbs.ac.uk>

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. Dr. Alarcon is also an associate editor at Military Psychology and Frontiers in Psychology.
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 at Warwick Business School 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, algorithmic management and the future of work.

More info: http://hicss.hawaii.edu

REFERENCES

Anthony, C., Bechky, B. A., & Fayard, A. L. (2023). "Collaborating" with AI: Taking a System View to Explore the Future of Work. Organization Science. Ahead of print: https://doi-org.stanford.idm.oclc.org/10.1287/orsc.2022.1651

Anthony, C. (2021). When knowledge work and analytical technologies collide: The practices and consequences of black boxing algorithmic technologies. Administrative Science Quarterly, 66(4), 1173-1212.

Barley, S. R. (1996). Technicians in the workplace: Ethnographic evidence for bringing work into organizational studies. Administrative Science Quarterly, 404-441.

Bechky, B. A. (2003). Sharing meaning across occupational communities: The transformation of understanding on a production floor. Organization Science, 14(3), 312-330.

Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022). To engage or not to engage with AI for critical judgments: How professionals deal with opacity when using AI for medical diagnosis. Organization Science, 33(1), 126-148.

Lumineau, Fabrice, Oliver Schilke and Wenqian Wang (2020). Organizational trust in the age of the Fourth Industrial Revolution: shifts in the nature, production, and targets of trust. http://dx.doi.org/10.13140/RG.2.2.20789.50401

Lumineau, Fabrice, Wenqian Wang and Oliver Schilke (2021). Blockchain governance-a new way of organizing collaborations? Organization Science 32: 500-521.

Möhlmann, M. (2021): Unjustified trust beliefs: Trust conflation on sharing economy platforms, Research Policy, 50(3).

van der Werff, L., Blomqvist, K., & Koskinen, S. (2021). Trust Cues in Artificial Intelligence: A Multilevel Case Study in a Service Organization. In Understanding Trust in Organizations (pp. 307-333). Routledge.