-------- Forwarded Message -------- Subject: [AISWorld] CFP AMCIS 2022- Data-Driven Process Mining and Innovation Date: Mon, 7 Feb 2022 06:40:55 -0600 From: Arti Mann arti.mann@uni.edu To: aisworld@lists.aisnet.org
*AMCIS 2022 CFP - Data-Driven Process Mining and Innovation Mini-track * Minneapolis, MN, August 10-14, 2022
*Track: SIG DSA- Data Science and Analytics for Decision Support*
Mini-track: *Data-Driven Process Mining and Innovation *
*Track Description* *- https://amcis2022.aisconferences.org/submissions/track-descriptions/#toggle-... https://amcis2022.aisconferences.org/submissions/track-descriptions/#toggle-id-31*
*Mini-Track Description - *One of the main aspects of business analytics is process innovation driven by the use of data generated from the day-to-day business operations of an organization. Process innovation involves workflow re-design and resource re-configuration for higher efficiency, better quality, and effectiveness, improving decision-making processes for better information flow and decision-enablement. Process mining plays a significant role in enabling such innovations. The objective of Process Mining is to discover, monitor, and improve actual business processes by extracting knowledge from existing data generated as a result of the execution of those processes. The aim of this mini-track is to promote theoretical and empirical research addressing the aspects mentioned above. Example topics may include, but are not limited to – data-driven modeling, analysis, and improvement of organizational processes; design of data-driven decision-making processes; case studies and empirical evaluation of data-driven process innovation; multi-perspective approaches for process mining.
**IMPORTANT DATES**
*January 15, 2022* Manuscript submissions open
*March 1, 2022* Deadline for paper submissions (PST)
*April 15 2022* Authors will be notified of decisions
*April 25, 2022* Camera-ready submissions are due
We look forward to receiving your best works for the mini-track. Feel free to contact us if you have questions.
Mini-track Co-chairs:
Arti Mann, arti.mann@uni.edu Sagnika Sen, sagnika.sen@psu.edu
Arti Mann, Ph.D. (*She/her*) Assistant Professor, MIS University of Northern Iowa College of BusinessCedar Falls, IA 50614
319-273-2643 / CBB 258 http://business.uni.edu/ _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org