-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2020 - CFP - Behavioral Side of Data Analytics Date: Wed, 19 Feb 2020 19:58:59 -0500 From: Nima Kordzadeh n.kordzadeh@gmail.com To: aisworld@lists.aisnet.org CC: Nima Kordzadeh nkordzadeh@wpi.edu, ghasemm@mcmaster.ca
***CALL FOR PAPERS - AMCIS 2020***
Mini-track: Behavioral Side of Data Analytics Track: Data Science and Analytics for Decision Support (SIGDSA)
Salt Lake City, Utah, USA -- August 12-16, 2020 https://amcis2020.aisconferences.org/track-descriptions/#toggle-id-7
****************************************************************************** *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 judgment and cognition in such decision-making processes. 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 extend research on the behavioral side of data analytics. In particular, this mini-track aims to advance understanding of perceptions, attitudes, beliefs, intentions, and behaviors related to analytics and their potential impacts on employees’ decision-making performance within organizations [3].
Suggested topics include, but are not limited to:
* Adoption of analytics * User-centered analytics * Impacts of analytics on decision-making quality * Moral and ethical aspects of analytics and AI technologies * Trust in analytics * Privacy implications of analytics * Dark side and negative behavioral outcomes of data analytics and big data use * Data analytics and work pressure * 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, 2020: Manuscript submissions begin Feb 28, 2020: Deadline for manuscript submissions Apr 22, 2020: Deadline for camera-ready submissions
SUBMISSION GUIDELINES: https://amcis2020.aisconferences.org/submissions/call-for-papers/
Mini-track Co-chairs:
Maryam Ghasemaghaei, McMaster University, ghasemm@mcmaster.ca
Nima Kordzadeh, Worcester Polytechnic Institute, nkordzadeh@wpi.edu
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