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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
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