[AISWorld] CFP - Data-Driven Process Mining and Innovation AMCIS 2023

Arti Mann arti.mann at uni.edu
Mon Jan 30 10:59:57 EST 2023


*AMCIS 2023 CFP - Data-Driven Process Mining and Innovation   Mini-track *
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 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/>


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