-------- Forwarded Message -------- Subject: [AISWorld] AMCIS 2023 CFP - Data-Driven Process Mining and Innovation Mini-track Date: Mon, 27 Feb 2023 10:32:41 -0600 From: Arti Mann arti.mann@uni.edu To: aisworld@lists.aisnet.org

Panama City, Panama, August 10-12, 2023

*Track: SIG DSA- Data Science and Analytics for Decision Support*

*Mini-track*: *Data-Driven Process Mining and Innovation *

Track Description - https://amcis2023.aisconferences.org/track-descriptions/#toggle-id-9

*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 6, 2023* Manuscript submissions open

*March 1, 2023* Deadline for paper submissions (10:00 am EST)

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 _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org