[AISWorld] CFP - AMCIS 2021 - Behavioral Research in Data Science and Analytics

[Nima Kordzadeh]

(Our apologies if you receive multiple copies of this call)


***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 at wpi.edu

· Maryam Ghasemaghaei, McMaster University, ghasemm at mcmaster.ca

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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 at wpi.edu