An Integrated Process‐Related Risk Management Approach to Proactive Threat and Opportunity Handling: A Framework and Rule Language

Published date01 January 2017
Date01 January 2017
DOIhttp://doi.org/10.1002/kpm.1527
Research Article
An Integrated Process-Related Risk
Management Approach to Proactive
Threat and Opportunity Handling: A
Framework and Rule Language
Jinwoo Kim, Jinyoun Lee, Jooseok Lee and Injun Choi*
Department of Industrial and Management Engineering, Pohang University of Science and Technology
(POSTECH), Pohang, South Korea
Managing risk in business processes has been a subject of active research in the past few years. The current uncertain
global business environment especially requires organizations to adopt more effective risk management approaches
that properly cope with both negative and positive impacts from risk in business process execution. This study intro-
duces a process-related risk management approach that can support comprehensive and proactive risk management
during the runtime stage of business processes. First, it analyzes the behavioral requirements for proactivemanagement
of process-related risk. Second, it suggests a framework that enables timely risk monitoring and treatment. Third, it of-
fers a rule language as an implementation model for systematic support of the proposed risk management approach.
Finally, it presents an architecture and prototype system to demonstrate the feasibility of the proposed framework
and rule language. This approach overcomes the limitations of existing risk management approaches by identifying
all necessary activities, as well as when and where they must be applied. Copyright © 2016 John Wiley & Sons, Ltd.
INTRODUCTION
The current uncertain global business environment
requires rms to adopt more effective risk manage-
ment approaches. Unfortunately, traditional busi-
ness process management (BPM) systems do not
properly address the risk in daily operations that
may have a profound impact on organizational
objectives (Suriadi et al., 2014). Therefore, managing
risk in business processes has been a subject of ac-
tive research in the past few years (Conforti et al.,
2015; Haggag et al., 2015; Tjoa et al., 2011).
The various studies into process-related risks re-
fer to the existing guides or standards of risk man-
agement, such as the PMBOK, ISO 31000, and
INCOSE handbook (International Council on Sys-
tems Engineering (INCOSE), 2007; International Or-
ganization for Standardization (ISO), 2009; Project
Management Institute (PMI), 2013). Traditionally,
researches in the eld of risk management usually
focus on avoiding the negative impacts of risks
rather than exploring their positive impacts
(Lessard and Lucea, 2009). However, recent risk
management standards and guidelines have sought
to extend the scope of risk management approaches
to handle the positive impacts of risks. For example,
the PMBOK includes a risk management approach
to prevent negative risks and to exploit positive out-
comes potentially hidden within a situation (Project
Management Institute (PMI), 2013). In BPM re-
search, however, most studies of process-related
risks concentrate on reducing the negative impacts
of risks, rather than as a lucid means to handle op-
portunities. Therefore, an advanced risk manage-
ment approach is required that can support
handling of both negative and positive impacts
generated by risk in business process execution.
Furthermore, risk management research in the
BPM context has additional shortcomings, such as
few studies addressing risk issues during the
runtime stage of business processes (Suriadi et al.,
2014). Notably, the existing risk management
approaches cannot properly support prediction,
prevention, and mitigation of risks (Conforti et al.,
2011). To solve this problem, a more effective risk
*Correspondence to: Injun Choi, Department of Industrial and
Management Engineering, Pohang University of Science and
Technology (POSTECH), Nam-gu, Pohang 790-784, South Korea.
E-mail: injun@postech.ac.kr
Knowledge and Process Management
Volume 24 Number 1 pp 2337 (2017)
Published online 19 December 2016 in Wiley Online Library
(www.wileyonlinelibrary.com) DOI: 10.1002/kpm.1527
Copyright © 2016 John Wiley & Sons, Ltd.

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