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Journal of Management Information Systems
Special Section: Information Technology to Foster Mental Health
Guest Editors
* Corey Angst (
cangst@nd.edu<mailto:cangst@nd.edu>),
University of Notre Dame
* Alan Dennis (
ardennis@iu.edu<mailto:ardennis@iu.edu>),
Indiana University
* Elena Karahanna (
ekarah@uga.edu<mailto:ekarah@uga.edu>)
The University of Georgia
* Gondy Leroy
(
gondyleroy@arizona.edu<mailto:gondyleroy@arizona.edu>),
University of Arizona
Background:
Mental health issues such as depression, anxiety, and others are a
growing epidemic facing modern society. The Mental Health America
society estimated that nearly a fifth of the adult US population
suffered a mental illness in 2019-2020 and that 94% of these
individuals did not receive any treatment [6]. Information
Technology (IT) such as wearables, digital pills, cope notes, VR,
and others have been proposed and used to help address the growing
mental health crisis. However, the understanding of the design,
development, adoption, use, and impact of such technologies for
diagnosing and treating mental health illnesses remains nascent.
Information Systems (IS) scholars are starting to study various
aspects of mental health, including occupational stress [1,3,5,8],
distress [2,7], and diagnosable mental health disorders [4,9].
However, significant areas of opportunity remain for developing
and evaluating digital technologies that could help identify or
tackle anxiety disorders (e.g., generalized anxiety disorder,
panic, social anxiety), mood disorders (e.g., depression, bipolar
disorder), and addiction (e.g., substance abuse, chemical
dependence).
This Special Section seeks to expand research related to IT for
mental health and spearhead an ongoing research agenda related to
this subject in the IS discipline. We are specifically seeking
contributions that improve our understanding of how IT could be
leveraged to identify mental health conditions and improve mental
health. We encourage a wide range of content, including theory,
qualitative and quantitative approaches, and design science for
mental health for this Special Section. Example topics within the
scope of this special section include, but are not limited to:
* Impact of IT designed to prevent, diagnose, and treat mental
health issues
* Design, development, and evaluation of new artifacts for
identifying mental health conditions from social media
* Improving mental health with Metaverse-related technologies
* Internet of Medical Things (IoMT) and related sensor signal
analysis-based approaches for identifying depressive behaviors
* AI systems to identify individuals in mental duress
* AI systems to recommend mental health interventions
* Automated identification of mental health progression
* Mental health intervention program development and deployment
* Adoption of mental health IT
* New theories around IT use and deployment for mental health
* Role of IT in improving mental health services
* Human-AI interfaces to support mental health decision-making
processes
* IT for improving mental health for specific demographics or
socioeconomic status
* Bias in IT for mental health
Irrespective of the topic, the focus on how IT is being used or
developed to identify mental health conditions or improve mental
health should be evident (IT is a central theme of the paper).
Research that examines the negative impacts of technology (e.g.,
antecedents to technostress) do not fit the theme. We welcome
research that uses or employs various types of methods and
analysis, including:
* Qualitative methods, including interviews and observations
* Quantitative methods, including experiments and surveys
* Archival and observational research methods
* Mixed methods research
* Design science research
* Artificial Intelligence (AI)-enabled analytics methods,
including machine learning, deep learning, text mining, and
network science
Timeline:
Authors should submit a two-page extended abstract to the Guest
Editors prior to submission to assess the fit of their paper with
the special section. The abstract should clearly present the
research question, theory, method and expected contribution.
Authors are encouraged to submit prior to the deadline and papers
will be processed as they are received. The editorial timeline
will proceed as follows:
* Expression of Interest: March 1, 2023 (two-page abstract, single
spaced, 12 point font)
* Initial Submission Due: July 31, 2023
* Notification of First Round Decision: November 30, 2023
* 1st Resubmission Due: March 30, 2024
* Notification of Second Round Decision: June 30, 2024
* 2nd Resubmission Due: September 30, 2024
* Final Decision: December 30, 2024
Submission Information
All submissions (including abstracts) will done via Precision
Conference. Please see:
https://new.precisionconference.com/jmis
References:
1. Califf, C.B., Sarker, S., and Sarker, S. The bright and dark
sides of technostress: A mixed-methods study involving healthcare
IT. MIS Quarterly, 44, 2 (June 2020), 809-856.
2. Chau, M., Li, T.M.H., Wong, P.W.C., Xu, J.J., Yip, P.S.F., and
Chen, H. Finding people with emotional distress in online social
media: A design combining machine learning and rule-based
classification. MIS Quarterly, 44, 2 (June 2020), 933-955.
3. Cram, W.A., Wiener, M., Tarafdar, M., and Benlian, A. Examining
the Impact of Algorithmic Control on Uber Drivers' Technostress.
Journal of Management Information Systems, 39, 2 (April 2022),
426-453.
4. James, T.L., Lowry, P.B., Wallace, L., and Warkentin, M. The
Effect of Belongingness on Obsessive-Compulsive Disorder in the
Use of Online Social Networks. Journal of Management Information
Systems, 34, 2 (April 2017), 560-596.
5. Pirkkalainen, H., Salo, M., Tarafdar, M., and Makkonen, M.
Deliberate or Instinctive? Proactive and Reactive Coping for
Technostress. Journal of Management Information Systems, 36, 4
(October 2019), 1179-1212.
6. Reinert, M., Fritze, D., and Nguyen, T. The State of Mental
Health in America 2023. Mental Health America, 2022.
7. Spohrer, K., Fallon, M., Hoehle, H., and Heinzl, A. Designing
Effective Mobile Health Apps: Does Combining Behavior Change
Techniques Really Create Synergies? Journal of Management
Information Systems, 38, 2 (April 2021), 517-545.
8. Windeler, J.B., Maruping, L., and Venkatesh, V. Technical
Systems Development Risk Factors: The Role of Empowering
Leadership in Lowering Developers' Stress. Information Systems
Research, 28, 4 (December 2017), 775-796.
9. Xie, J., Zhang, Z., Liu, X., and Zeng, D. Unveiling the Hidden
Truth of Drug Addiction: A Social Media Approach Using Similarity
Network-Based Deep Learning. Journal of Management Information
Systems, 38, 1 (January 2021), 166-195.
Elena Karahanna, Ph.D.
Distinguished Research Professor & C. Herman and Mary Virginia
Terry Distinguished Chair in Business Administration
Management Information Systems Department
C413 Benson Hall | 600 S. Lumpkin St. | Athens, GA 30602
https://www.terry.uga.edu/directory/mis/elena-karahanna.html
www.elenakarahanna.net<http://www.elenakarahanna.net/>
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