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Track: Decision Sciences and Analytics (SIGDSA)
26th Americas Conference on Information Systems (AMCIS), Aug.
12-16, 2020
Salt Lake City, Utah
This mini-track solicits papers using methods to critically
examine issues hampering the emergence and understanding of
financial information technology (FIT) in research and practice.
Authors are encouraged to identify and investigate three specific
problem areas in finance that affect modern organizations:
technology (“FinTech”), analytics and messy data. What are the
problems and solutions in these areas? What can researchers do to
move beyond the current state of research and practice concerning
these IS-relevant issues? In what ways do specified problems
impact important IS theories and streams, such as the productivity
paradox, IT business value, and information economics? What are
the pros and cons and comparative performance of any proposed
solutions? These are the types of questions that may be explored
in this mini-track.
We are particularly interested in completed or emerging research
addressing the conference theme, New Frontiers in Digital
Convergence. Therefore, we hold at a premium papers advancing our
understanding of organizations engaged in digital convergence for
value creation. In particular, we are interested in information
technology firms since they engage in digital convergence out of
competitive necessity.
We encourage thought provoking papers utilizing the wealth of
archival data (e.g., Compustat and CRSP) accessible by many in the
IS research community. We especially value thought provoking
papers pushing known boundaries of the three mentioned FIT themes
(FinTech, analytics and messy data) in order to improve IS
practice. For these reasons, we are interested in high quality
papers that illuminates and addresses the effects of the following
issues (among others) on modern organizations:
FinTech
* Finance-Technology alignment
* Resistance to change
* Barriers to innovation
* Systems scalability
* FinTech success
* Outsourcing FinTech
* Issues specific to FinTech firms
* Compliance management
* FinTech application frontiers
* Blockchain and cryptography
Financial Analytics
* Workflows
* Queries
* Data storage
* Analytical efficiency and economics
* Analytical skills
* Data security and privacy
* User-friendliness of big data
* Artificial intelligence and machine learning
* Big data analytics
* Analytical procedures
Messy Financial Data
* Non-normality
* Missing data
* Imputation
* Inflated frequencies
* Variables with low levels (i.e. binary)
* Outliers
* Negative denominators
* Measurement bias
* Illogical values
Mini-Track co-chairs
Gary Templeton, Mississippi State University
gft4@msstate.edu
Brian Blank, Mississippi State University
dblank@business.msstate.edu
Andrew Miller, Mississippi State University
asm357@msstate.edu
Martin Kang, Mississippi State University
mkang@business.msstate.edu
Submission Instructions:
https://amcis2020.aisconferences.org/submissions/call-for-papers/
Important Dates:
January 6, 2020: Manuscript submissions for AMCIS 2020 begin
February 28, 2020: Manuscript submissions closes for authors at
10:00am PST
March 5, 2020: All papers have assigned reviewers
April 24, 2020: Revised, camera-ready papers are due
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