[AISWorld] CFP - Data-Driven Process Mining and Innovation

[Arti Mann]

Salt Lake City, Utah, August 15-17, 2024

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

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

Track Description-
https://amcis2024.aisconferences.org/track-descriptions/#toggle-id-8

*Mini-Track Description** - *One of the main aspects of business analytics
is process innovation driven by data generated from an organization's
day-to-day business operations. 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.

Process Mining aims to discover, monitor, and improve business processes by
extracting knowledge from existing data generated from executing those
processes.

This mini-track aims to promote theoretical and empirical research
addressing the above mentioned aspects.

Example topics may include, but are not limited to – process discovery,
data-driven modeling, analysis, value orientation, and process
optimization; design of data-driven and possibly artificial
intelligence-assisted decision-making processes; case studies and
performance analysis; process conformance and mining; and multi-perspective
approaches for process mining.

**IMPORTANT DATES**

*January 5, 2024*        Manuscript submissions open

*March 1, 2024*             Deadline for paper submissions


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 at uni.edu
Sagnika Sen, sagnika.sen at psu.edu


Arti Mann, MBA, PhD

Assistant Professor
Department of Management
College of Business
319-273-2643 / arti.mann at uni.edu
258 Curris Business Building / Cedar Falls, IA 50614

https://business.uni.edu/   / uni.edu  /  #1UNI   / #readyforbusiness