Journal of Risk &
: 2160-9624 Submit
Early System Prepress: titles of
recently published and in-press manuscripts (with DOI): http://igi-global.com/ijrcm
Cabell's listed journal [authors have you checked Cabell's or Beall's List of bad journals?]
to illustrate writing style: http://kennethstrang.com/ijrcm/example.pdf
(Strang & Vajjhala, 2015).
Call-For-Papers Deadlines (all manuscripts will be at
peer reviewed - FREE: no fees to authors, open access
1, 2021: Contingency planning in uncertainty, innovation, decision making, information technology management, co-editor Dr. Rao Vajjhalla
(with manuscript size expectations; see submission guidelines
acceptance rate = 12%; author cost to
publish = free)
Socio-cultural/political uncertainty, identity fraud, money
laundering, counterfeiting, human organ trafficking/prostitution.
January 1, 2022: Uncertainty
quantification in climate change, energy
creation/analysis risk models (nuclear,
wind, solar, hydro,
1, 2022: Global research
in global uncertainty, terrorism, contingency analysis and
strategic management: call-for-papers
1. Cases relying
on probability concepts such as insurance, engineering,
psychology, construction (5500-8000
words, 10+ pages, 20+ references);
studies, factor analysis, regression, surveys, meta-analysis related to
uncertainty, risk or probability (5500-8000 words, 10+ pages, 20+
contemporary measures for assessing
or managing risk, complex decision making (2500-5500 words, 5+ pages
single-spaced, 5+ references);
summary of event, software, book, professional standards,
or critical monologues of risk topics (1000-2500 words, 2+
pages, 1+ references).
(Guiding Scholarly Research Questions)
and contingency differ. One definition of risk is: the effect of
goals (ISO, 2009, guideline 75). According to economist Frank Knight
(1885-1972), risks are known in the sense they can be measured, but it
underlying uncertainty factor that remains illusive (Haimes, 2009;
1997). Probability theory and fuzzy logic can be used to estimate risk
Embrechts, 2005). At the other extreme, contingency is a buffer or
expected risk (ISO, 2009; Raftery, 1994).
instability is a major stimulus for risk and contingency
management research across the disciplines. In the last few years,
organizations and governments around the world have experienced
uncertainty, namely: the 2008 global economic crisis, tsunamis,
quakes and terrorism (Strang, 2013; USGS, 2011). Global economies are
interconnected; thus, a
single-country-crisis can now impact the world-wide macro-environment.
alone is a good reason for practitioners across the disciplines and
collaborate on risk management research. On the other hand, there is no
risk management model because factors differ from one industry or
another – therefore practitioner insight is needed. Empirical
that uncertainty and risk are managed differently from one disciplinary
to another (Sperandio & Girard, 2010; Strang, 2010; 2012a, 2012b;
& Fischbacher, 2009; Sodhi & Tang,
2009). In fact ISO points out their standards are principles and
risk management; they assert that “management of risk must be
tailored to the
specific needs and structure of the particular organization”
(ISO, 2009, para
34). In order to
better understand risk,
we need linear and nonlinear techniques (Strang, 2009; 2012a; 1012b),
and quantitative methods (Strang, 2012c; Strang & Symonds,
cross-disciplinary comparisons (Strang, 2012a; 2012b; Strang &
Vajjhala, 2015), and multi-cultural perspectives
(Goodwin & Strang, 2012). We need to know if there are new
models or tools
emerging that can help with risk analysis and mitigation.
the following research questions: (1) what do
practitioners in any discipline perceive about identifying
and evaluating risks (e.g., psychology, sociology, health care,
business, marketing, education, computer science, information
administration/government policy, insurance, physical sciences, natural
sciences/environment, etc.); and, (2)
how is uncertainty quantified and managed in these disciplines?
Goodwin, Y. &
Strang, K. D. (2012). Socio-cultural and multi-disciplinary perceptions
risk. International Journal of Risk and
Contingency Management, 1(1), 1-11. http://www.igi-global.com/journal-contents/international-journal-risk-contingency-management/53135
Y. Y. (2009). On the Complex Definition of Risk: A Systems-Based
Approach. Risk Analysis, 29(12),
ISO. (2009). ISO 31000:2009
principles and generic guidelines on risk management
Lerbinger, O. (1997). The Crisis
Manager: Facing Risk and Responsibility
. NJ: Lawrence Erlbaum
A. J., Rudiger, F. & Embrechts, P. (2005). Quantitative
Risk Management. NJ: Princeton University Press.
J. (1994). Risk Analysis in Project
Management. London: E & FN Spon.
Smith, D. &
Fischbacher, M. (2009). The changing nature of risk and risk
challenge of borders, uncertainty and resilience. Risk
Management, 11(1), 1-12.
Sodhi, M. S. &
Tang, C. S. (2009). Modeling supply-chain planning under demand
using stochastic programming: A survey motivated by asset-liability
International Journal of Production
Economics, 121(2), 728-738.
Sperandio, S. &
Girard, P. (2010). Decision-making framework methodology: risk
strategic management. International
Journal of Management and Decision Making, 11(1), 4-18.
Strang, K. D. (2009).
Using recursive regression to explore nonlinear relationships and
A tutorial applied to a study. Practical
Assessment, Research & Evaluation, 14(3), 1-13. http://pareonline.net/getvn.asp?v=14&n=3
Strang, K. D. (2010).
Radiology manufacturing projects and politics: Scientist and politician
normalized risk decision processes. International
Journal of Management and Decision Making, 11(3/4), 231-248.
Strang, K. D. (2012b).
Man versus math: Behaviorist exploration of post-crisis non-banking
management. Journal of Asset Management, 13(4),
1-20. Retrieved from http://www.palgrave-journals.com/jam/journal/vaop/ncurrent/full/jam201214a.html
Strang, K. D. (2012a).
Applied financial nonlinear programming models for decision making. International
Journal of Applied Decision Sciences, 5(4), 370-395.
Retrieved from http://www.inderscience.com/info/inarticletoc.php?jcode=ijads&year=2012&vol=5&issue=5
Strang, K. D. (2012c).
Case study: Risk mitigation for hurricanes near Texas coast oil
Journal of Risk and Contingency Management, 1(2), 43-53. http://www.igi-global.com/article/case-study-risk-mitigation-hurricanes/67374
Strang, K. D. (2013).
Homeowner behavioral intent to evacuate after flood warnings. International
Journal of Risk and Contingency Management, 2(3), 1-19. http://www.igi-global.com/journal-contents/international-journal-risk-contingency-management/53135
Strang, K. D., &
Symonds, R. J. (2012). Analyzing research activity duration and
business doctorate degrees. International Journal of Risk and
Management, 1(1), 29-48. Retrieved from http://www.igi-global.com/article/international-journal-risk-contingency-management/65730
Strang, K. D., & Vajjhala, N. R. (2015). Impact of Socialized Uncertainty
on Group Decision Making: An Experiment with Emerging Executives.
International Journal of Risk and Contingency Management,
4(2), 45-58. doi:10.4018/IJRCM.2015040104, http://www.igi-global.com/article/impact-of-socialized-uncertainty-on-group-decision-making/2015128963.
USGS. (2011). Earth
quakes hazards program: American National Science Service. Retrieved
IJRCM Keyword Themes (manuscripts
are welcome that apply any relevant keyword from below)
contingency management and decision making across disciplines and
industries (including but not limited to health care, manufacturing,
resources, agriculture, government, schools/higher
technology, financial, insurance, investment, business services);
- Big data-driven risk and contingency management; big data
analytics for risk and contingency management;
- Micro-level case studies of
mathematical formulations of risk and/or
- Insurance and health risk,
information technology risk, security and
- Human behavior, risk in
and the other social-sciences, risk in
management science, risk competencies;
- Risks and contingency
management in traditional economics and finance,
risk transfer, underwriting;
- Novel/unique applications of
risk frameworks and models, across
disciplines and/or industries;
- Risk versus uncertainty,
macro-level studies of risk-sensitive
industries; certainty, determinism;
- Comparative studies of risk or
contingency management across
- Comparative analysis of risks
and/or contingency across disciplines
and workplace functions;
- Special topics of risk and
contingency management, global economic
recession critical analysis;
- Significant global
events/impacts (global warming, flooding, tsunamis,
earth quakes, terrorism, etc.);
- Crisis and
(analysis, solutions, compliance), contingency
planning, risk mitigation;
of risk or
contingency management across the major
disciplines, industries and/or sectors;
- Crises and
education, training methods, learning
techniques, dissertation meta-analyses.
APA 6th style, except: single space, include figures/tables
text, add author bio(s) at end, use the 'manuscript
style template: https://igiprodst.blob.core.windows.net/public-publish/journal-organization-and-formatting.docx
writing style and formatting guides (with examples): http://www.docstyles.com/library/apalite.pdf
authors should note that only original and previously unpublished
articles will be considered (previous studies must be revised at least
article submissions will be forwarded to at least 3 members of the
Editorial Review Board of the journal for double-blind, peer review.
decisions regarding acceptance/revision/rejection will be based on the
reviews received from the reviewers.
All submissions must be made in our eDiscovery system (select
mission of IJRCM
is to discover what risk
and uncertainty mean to practitioners or decision makers across
industries and cultures.
(scroll or select 'policies')
and indexes: http://www.igi-global.com/journal/international-journal-risk-contingency-management/53135#reviews-and-testimonials
David Strang, Doctorate,
MBA, BS, AS,
FLMI, CNA, PMP®
Professor, CEO of APPC Research and President of Multinations
Bio and example research: