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Electronic Markets - The International Journal on Networked
Business
Call for Papers
Machine Learning in Business Networks
Guest Editors
* Volker Bach, Steinbeis University Berlin, STI Business and
Software
Engineering, Germany,
volker.bach@stw.de
* Junbin Gao, University of Sydney Business School, Australia,
<mailto:Junbin.gao@sydney.edu.au> Junbin.gao@sydney.edu.au
* Xi Chen, Nanjing University Business School, China,
chenx@nju.edu.cn
Theme
An ever-expanding digital world has created a desire for
increasingly smart
business applications. Virtually every enterprise now aims to
explore and
harness the full potential of large data volumes. For data-driven
goals,
machine learning offers the opportunity of automated extraction
and
processing of actionable information from vast amounts of raw
data.
While the investigation of learning problems as well as the
development and
analysis of learning systems can be considered as a dynamic, yet
well-established research area, the broad application of machine
learning in
business contexts gains more and more attention from both
researchers and
practitioners. These business contexts result in a wide range
research
objects: single business decisions which benefit from incremental
improvements of existing analytical applications; entire business
processes
with their innovation and improvement cycles; business networks
that
interact based on new types of products and services and the like.
The substantial impact of machine learning technologies on these
research
objects causes growing demand for adequate approaches in research
and
practice. On the level of information systems this includes
methods for the
management of the enterprise architecture based on envisioned next
generation enterprise systems. In the areas of organizational and
strategic
design, several approaches need to be extended or re-thought,
including the
definition and improvement of business processes and their
management, the
creation and integration of new product and service offerings as
well as the
coordination and (re-)configuration of business networks.
Deepening knowledge about the underlying causal relationships
between design
decisions, actors' behavior, and business outcomes is an ongoing
and
challenging task that deserves to be addressed by researchers,
managers and
decision makers seeking for innovative and sustainable business
models.
Central issues and topics
Possible topics of submissions include, but are not limited to:
Machine Learning Applications in Business Networks
* Concepts for designing, developing, integrating, and managing
machine learning applications in business networks
* Design and evaluation of machine learning applications all along
the
value chain
Adoption of Machine Learning Technology
* Roadmaps and success factors of machine learning adoption
* Impacts of machine learning on IS/IT organizations
* Machine learning in enterprise systems development and
integration
Conceptual Integration of Machine Learning
* Fundamental impacts of machine learning on the understanding of
business networks
* Machine learning in business process development
We encourage contributions with a broad range of methodological
approaches,
including conceptual, qualitative and quantitative research. All
papers
should fit the scope of Electronic Markets (for more information
see
<http://www.electronicmarkets.org/about-em/scope/>
http://www.electronicmarkets.org/about-em/scope/) and will undergo
a
double-blind peer review process. If you would like to discuss any
aspect of
the special issue, please contact the guest editors.
Submission
Electronic Markets is a SSCI-listed journal (IF 1.864) and
requires that all
papers must be original and not published or under review
elsewhere. Papers
must be submitted via our electronic submission system at
<http://elma.edmgr.com> http://elma.edmgr.com and conform to
Electronic
Markets publication standards (see instructions and templates at
<http://www.electronicmarkets.org/authors>
http://www.electronicmarkets.org/authors). Please note that the
preferred
article length is around 8,000 words.
Important deadline
* Submission Deadline: July 15, 2018
Rainer Alt and Hans-Dieter Zimmermann
Editors-in-Chief
Electronic Markets - The International Journal on Networked
Business
c/o Information Systems Institute
University of Leipzig
Grimmaische Str. 12,
04109 Leipzig, Germany
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