[AISWorld] CfP Special Issue on "Machine Learning in Business Networks"

[Electronic Markets]

***Apologies for cross-postings***

 

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 at stw.de <mailto:volker.bach at stw.de> 

* Junbin Gao, University of Sydney Business School, Australia,
Junbin.gao at sydney.edu.au <mailto:Junbin.gao at sydney.edu.au>  

* Xi Chen, Nanjing University Business School, China, chenx at nju.edu.cn
<mailto:chenx at 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/) 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 and conform to Electronic Markets publication
standards (see instructions and templates at
http://www.electronicmarkets.org/authors). Please note that the preferred
article length is around. 6,500 to 8,000 words.

 

Important deadline

*     Submission Deadline: April 15, 2019

 

 

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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