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***CALL FOR PAPERS - AMCIS 2021***
*Mini-track: *Behavioral Research in Data Science and Analytics
*Track:* Data Science and Analytics for Decision Support (SIGDSA)
Virtual Conference -- August 9-13, 2021
https://amcis2021.aisconferences.org/track-descriptions/#toggle-id-6
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*Mini-track Description:*
The ability to take advantage of data analytics tools and AI
technologies
has become an important factor for firm success [1, 2]. With the
availability of data with high velocity, volume, and variety, many
firms
have invested in business intelligence and data analytics tools
and
technologies to improve the quality of their decisions. However,
firms also
recognize the importance of human cognition, judgment, and
behavior in
developing, implementing, and using such technologies. For
example, data
analysts need to integrate aspects that are not captured by
analytical
tools, such as ethical principles and intuition into their
analytics
processes and decisions.
The focus of this mini-track is to explore and enhance
understanding of the
behavioral aspects of data science and analytics technologies. In
particular, this mini-track focuses on perceptions, attitudes,
beliefs,
intentions, and behaviors related to analytics and their potential
impacts
on decision-making performance in organizational and social
settings [3].
Suggested topics include, but are not limited to:
· Adoption of AI and analytics
· User-centered analytics
· Impacts of analytics on decision-making quality
· Explainable AI and analytics
· Ethical aspects of AI and analytics
· Trust in AI and analytics
· Privacy implications of AI and analytics
· Algorithm aversion
· Data analytics and technostress
· Data analytics and discrimination
· Data analytics and cognitive biases
· Data analytics and dissemination of knowledge within firms
*References: *1. Chen H, Chiang RH, Storey VC. Business
Intelligence and
Analytics: from Big Data to Big Impact. MIS Quarterly. 2012:
36(4).
2. Duan Y, Edwards JS, Dwivedi YK. Artificial Intelligence for
Decision
Making in the Era of Big Data–Evolution, Challenges and Research
Agenda.
International Journal of Information Management. 2019: 48(10).
3. Baesens B, Bapna R, Marsden JR, Vanthienen J, Zhao JL.
Transformational
Issues of Big Data And Analytics in Networked Business. MIS
Quarterly.
2016: 40(4).
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*IMPORTANT DATES:*
· Jan 6, 2021: Manuscript submissions begin
· March 1, 2021: Completed research and ERF submissions are due at
5 pm EST
· April 21, 2021: Workshop, panel, TREO and PDS submissions are
due at 5 pm
EST
*SUBMISSION GUIDELINES: *
https://amcis2021.aisconferences.org/submissions/call-for-papers/
*Mini-track Co-chairs:*
· Nima Kordzadeh, Worcester Polytechnic Institute,
nkordzadeh@wpi.edu
· Maryam Ghasemaghaei, McMaster University,
ghasemm@mcmaster.ca
********************************************************************
----
Nima Kordzadeh, Ph.D.
Assistant Professor of Information Systems & Data Science
Robert A. Foisie School of Business
Worcester Polytechnic Institute
100 Institute Rd, Worcester, MA 01609
E-mail:
nkordzadeh@wpi.edu
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