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*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@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/>
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