[AISWorld] CFP AMCIS 2022- Data -Driven Process Mining and Innovation

[Arti Mann]

*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-id-31
<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 at uni.edu
Sagnika Sen, sagnika.sen at 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/>