[AISWorld] AMCIS 2022 CFP - Minitrack: Behavioral Research in Data Science and Analytics (Track: SIGDSA)

[Kordzadeh, Nima]

***CALL FOR PAPERS - AMCIS 2022***

Mini-track: Behavioral Research in Data Science and Analytics
Track: Data Science and Analytics for Decision Support (SIGDSA)

Minneapolis -- August 10-14, 2022
https://amcis2022.aisconferences.org/submissions/track-descriptions/#toggle-id-31

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Mini-track Description:

The ability to take advantage of data analytics (DA) and artificial intelligence (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 DA and AI technologies to improve the quality of their decisions. However, firms also recognize the critical roles of human factors and ethical principles in data-driven decision-making [3, 4].

The focus of this minitrack is to explore and enhance understanding of the behavioral aspects of implementing and using DA and AI technologies. Particularly, this minitrack focuses on perceptions, attitudes, intentions, and behaviors related to analytics and their impacts on decision-making processes and outcomes in organizational and social settings [5].

Suggested topics include, but are not limited to:

* Explainable AI and DA
* Ethical and privacy aspects of AI and DA
* Trust in AI and DA
* Human-AI augmentation
* Algorithm aversion
* Algorithmic bias and discrimination
* User-centered DA
* DA and decision-making quality
* DA and technostress
* DA and cognitive biases

References:

1. Chen H, Chiang RH, & Storey VC. (2012). Business Intelligence and Analytics: from Big Data to Big Impact; MIS Quarterly.1165-1188; https://doi.org/10.2307/41703503

2. Duan Y, Edwards JS, & Dwivedi YK. (2019). Artificial Intelligence for Decision Making in the Era of Big Data-Evolution, Challenges and Research Agenda; International Journal of Information Management. 48:63-71; https://doi.org/10.1016/j.ijinfomgt.2019.01.021

3. Kordzadeh, N., & Ghasemaghaei, M. (2021). Algorithmic Bias: Review, Synthesis, and Future Research Directions; European Journal of Information Systems. https://doi.org/10.1080/0960085X.2021.1927212

4. Someh, I., Davern, M., Breidbach, C. F., & Shanks, G. (2019). Ethical Issues in Big Data Analytics: A Stakeholder Perspective; Communications of the Association for Information Systems. 44(1), 34; https://doi.org/10.17705/1CAIS.04434

5. Baesens B, Bapna R, Marsden JR, Vanthienen J, Zhao JL. (2016). Transformational Issues of Big Data and Analytics in Networked Business; MIS Quarterly. 40(4).

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IMPORTANT DATES:

  *   January 21, 2022: Manuscript submissions begin
  *   March 1, 2022: Completed research and Emerging Research Forum (ERF) submissions are due at 5 pm EST
  *   April 15, 2022: Workshop, panel, Technology Research, Education, and Opinion (TREO) and Professional Development Symposium (PDS) submissions are due at 5 pm EST

Mini-track Co-chairs:

  *   Nima Kordzadeh, Worcester Polytechnic Institute, nkordzadeh at wpi.edu<mailto:nkordzadeh at wpi.edu>
  *   Maryam Ghasemaghaei, McMaster University, ghasemm at mcmaster.ca<mailto:ghasemm at mcmaster.ca>

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Nima Kordzadeh, Ph.D.
Assistant Professor of Information Systems & Data Science
Worcester Polytechnic Institute | Business School
100 Institute Rd, Worcester, MA 01609
E-mail: nkordzadeh at wpi.edu<mailto:nkordzadeh at wpi.edu>