[AISWorld] CFP: Special Issue on Big Data Driven Risk and Contingency Management (BRCM 2017) in IJRCM

[Zhaohao Sun]

CALL FOR PAPERS

Special Issue on Big Data Driven Risk and Contingency Management (BRCM
2017)
International Journal of Risk and Contingency Management

http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=58071

The International Journal of Risk and Contingency Management (ISSN:
2160-9624 e-ISSN: 2160-9632) (
http://www.igi-global.com/journal/international-journal-risk-contingency-management/53135)
is covered in risk and contingency management, and is abstracted and
indexed in ACM Digital, INSPEC, Bacon's Media Directory, Cabell's
Directories, Google Scholar,  Index Copernicus, (SCOPUS is in progress).
Risk is the effect of uncertainty on goals. Where there is uncertainty,
there is risk. Where there is risk, there should have contingency
management. Therefore, uncertainty, risk and contingency are ubiquitous,
and are always a topic for our research and development. However, the
dramatic development of the Internet leads to global uncertainty in
economy, military, industry, etc. Big data intensifies global uncertainty
and risk in many areas including management decision making, healthcare,
finance, banking, privacy and security.
Big data has become a strategic asset for industry, business, and national
security. Big Data is also a key enabler of exploring business insights and
economics of services. Big Data is characterized with at least six bigs:
big volume, big velocity, big variety, big value, big veracity, and big
market. Big data has brought about big challenge for risk and contingency
management. For example, what big data driven approach can improve risk and
contingency management in the age of big data? How can we manage big data
driven risk and contingency in industry, finance, business and other
sectors.
1 Objective and topics

The objective of this Special Issue in International Journal of Risk and
Contingency Management is to present the current state of research and
practical experiences on big data driven risk and contingency management.
Topics of interest include, but are not limited to, the following:
1. Fundamentals of Risk and Contingency Management

* Big data as discipline
* Big data analytics as a science and technology
* New computational models
* Mathematical fundamentals
* Statistical modelling
* Machine learning
* Optimization techniques
* Business models
2. Big Data Driven Approach  for Risk and Contingency Management
.
* Risks and contingency management in  economics and finance, risk
transfer, underwriting;
* Risk versus uncertainty, macro-level studies of risk-sensitive
industries; certainty, determinism;
* Comparative studies of risk or contingency management across
organizations;
* Comparative analysis of risks and/or contingency across disciplines and
workplace functions;
* Global economic recession critical analysis;
* Significant global events/impacts (global warming, flooding, tsunamis,
earth quakes, terrorism, etc.);
* Crisis and incident management, contingency planning, risk mitigation;
* Big data driven security & privacy
* Big data analytics for risk and contingency management
* Big data analytics for risk assessment
* Big data driven uncertainty analytics
3. Applications of Big Data Driven Risk and Contingency Management Cross
Disciplines and Industries including
* Web services
* E-commerce
* Healthcare
* Cloud computing
* Social networking platforms and services
* Banking
* Insurance
* National security

Notes for Intending Authors

We are seeking original, genuine, innovative, scientifically rigorous
research articles on big data driven approach for risk and contingency
management. Empirical research, case studies or theory based qualitative
and quantitative studies on big data driven risk management and contingency
management are also welcome.

Submitted papers should not have been previously published nor be currently
under consideration for publication elsewhere.  Submitted manuscripts
should be structured as technical papers and may not exceed 8000 words. All
submissions will be anonymously reviewed by at least two reviewers based on
originality, correctness, technical strength, significance, quality of the
manuscript. Submissions must be uploaded to the IJRCM system with the
special information in the title page, “This is a manuscript for  Special
Issue on Big Data Driven Risk and Contingency Management” at:
http://www.igi-global.com/submission/manuscripts/?jid=53135

The title page of any submission for this special issue must be emailed to
zhaohao.sun at gmail.com.

Questions may be emailed to the editor of this special issue at
zhaohao.sun at gmail.com.

The tentative title and abstract consisting of less than 150 words should
be submitted to the editor at one’s earliest convenience for constructive
suggestion.

For more information, please visit the following web site.
*
http://www.igi-global.com/calls-for-papers-special/international-journal-risk-contingency-management/53135
* http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=58071


Important dates:
* Full paper submission: September 30, 2017
* Notification of acceptance: October 30, 2017
* Revised submission: November 30, 2017
* Final acceptance notification: December 30, 2017
* Publication: March, 2018


Guest Editors

Prof. Dr Zhaohao Sun, Ph.D.
Director & HoD
Research Center of Big Data Analytics and Intelligent Systems (BAIS)
Department of Business Studies
PNG University of Technology, Lae, PNG,
Email: zhaohao.sun at pnguot.ac.pg, or zhaohao.sun at gmail.com
https://www.researchgate.net/profile/Zhaohao_Sun

Prof. Dr Ken Strang
School of Business & Economics
State University of New York, Plattsburgh at Queensbury, NY 12804, USA
kenneth.strang at plattsburgh.edu