Multiphase Assessment of Project Risk Interdependencies: Evidence from a University ISD Project in Taiwan

Hwang, Wenli; Hsiao, Bo; Chen, Houn‐Gee; Chern, Ching-Chin

doi:10.1002/pmj.21563

Cited by 30 publications

(14 citation statements)

References 38 publications

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“…Once an IRM is acquired, eight of the classical DEMATEL studies classified the factors in a complicated system into four quadrants according to their locations in the diagram. In [20][21][22], the IRM is divided into four quadrants I to IV, as displayed in Figure 2, by calculating the mean of ( + ). The factors in quadrant I are identified as core factors or intertwined givers since they have high prominence and relation; the factors in quadrant II are identified as driving factors or autonomous givers because they have low prominence but high relation.…”

Section: Observations and Findingsmentioning

confidence: 99%

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

You

Liu

et al. 2018

Mathematical Problems in Engineering

671

410

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Decision making trial and evaluation laboratory (DEMATEL) is considered as an effective method for the identification of causeeffect chain components of a complex system. It deals with evaluating interdependent relationships among factors and finding the critical ones through a visual structural model. Over the recent decade, a large number of studies have been done on the application of DEMATEL and many different variants have been put forward in the literature. The objective of this study is to review systematically the methodologies and applications of the DEMATEL technique. We reviewed a total of 346 papers published from 2006 to 2016 in the international journals. According to the approaches used, these publications are grouped into five categories: classical DEMATEL, fuzzy DEMATEL, grey DEMATEL, analytical network process-(ANP-) DEMATEL, and other DEMATEL. All papers with respect to each category are summarized and analyzed, pointing out their implementing procedures, real applications, and crucial findings. This systematic and comprehensive review holds valuable insights for researchers and practitioners into using the DEMATEL in terms of indicating current research trends and potential directions for further research.

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Section: Observations and Findingsmentioning

confidence: 99%

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

You

Liu

et al. 2018

Mathematical Problems in Engineering

671

410

View full text Add to dashboard Cite

show abstract

“…Effectiveness involves the ability of the risk assessment process to cover all significant risk sources and events (Powell & Klein, 1996), risk interrelationships (Hwang, Hsiao, Chen, & Chern, 2016), and risk timing and dynamics (Hwang et al, 2016;Ward, 1999). It also concerns the ability of the process to provide sound risk exposure estimates to prioritize the identified risk sources in the order of the response attention they need (Ward, 1999).…”

Section: A Key Tension About the Nature Of Risk Assessment: The Relatmentioning

confidence: 99%

“…The time proximity between a risk source and the associated risk event(s) Hwang et al (2016); Ward (1999)…”

Section: Risk Event Imminencementioning

confidence: 99%

“…Risks' Temporal Complexity. Project temporality refers to "the transition from the starting conditions to what happens during the project to its outcomes" (Gemino et al, 2008, p. 12), which creates risks with complex temporal characteristics Hwang et al, 2016;Ward, 1999). To examine two such characteristics, we define risks' temporal complexity by the two dimensions of risk source emergence and risk event imminence.…”

Section: Project Characteristicsmentioning

confidence: 99%

“…Indeed, IT projects can involve various risks such as new technologies, large application size, lack of team expertise, application complexity, and uncertainty about requirements (Barki et al, 2001). Risk entanglement refers to the extent to which risks are intertwined by causing or amplifying each other (El-Masri and Rivard, 2012;Hwang et al, 2016;Thamhain, 2013;Ward, 1999). Together, risk abundance and risk entanglement can create compounding outcomes, with risks exhibiting cascading and/or nonlinear effects.…”

Section: Propositionmentioning

confidence: 99%

See 2 more Smart Citations

Sublating Tensions in the IT Project Risk Management Literature: A Model of the Relative Performance of Intuition and Deliberate Analysis for Risk Assessment

Moeini¹,

Rivard²

2019

JAIS

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Article (Accepted Version)http://sro.sussex.ac.uk Moeini, Mohammad and Rivard, Suzanne (2018) Sublating tensions in the IT project risk management literature: a model of the relative performance of intuition and deliberate analysis for risk assessment. AbstractThe information technology (IT) project risk management literature comprises two dominant but diverging bodies of knowledge: the normative and the experiential. We conducted a threestep dialectical review of this literature with the aim of creating a bridging body of knowledge. In the first step, delineation, we synthesize the overarching variance and process explanations in each body of knowledge and motivate the examination of their divergences. In the second step, contrastation, we perform a dialectical interrogation of these bodies to articulate their key assumption-level tensions. We elaborate on the most prominent tension between the two bodies, namely, the relative performance of intuition and deliberate analysis for project risk assessment.In the third step, sublation, we propose a theoretical model that resolves this tension. Anchored in both bodies of knowledge and drawing from managerial decision-making research, the model proposes that the relative performance of intuition depends on characteristics of the IT project manager (project-specific expertise), the project (risks' temporal complexity and risks' structural complexity), and the project's organizational environment (e.g., stakeholders' involvement in risk management, methods-using pressures). Moreover, the model posits that project-specific expertise moderates all the other effects. Building on the bridging knowledge insights from this model, we discuss how researchers can design interventions to increase project managers' use of deliberate analysis when it is expected to outperform intuition or to encourage reliance on intuition when it is likely to outperform deliberate analysis.This resulted in identifying 268 papers (Table 1). We then read the abstracts, introductions, and conclusions of these papers and included those that focused on: (1) ITPMs, as they have risk management as part of their function (PMI, 2013); (2) in-house-not outsourced-IT projects, to limit the variation on the nature of risk management and the role of ITPMs; and (3) project risks,

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Digital Assets for Project-Based Studies and Project Management

Miller¹

2021

Lecture Notes in Business Information Processing

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This research provides a literature survey of digital assets available through a project; specifically, it identifies sources of data that can be used for practicing data-driven, context-specific project management, or for project-based academic research. Projects are key vehicles for economic and social action, and they are also a primary source of innovation, research, and organizational change. The project boundaries of time, tasks, and people define a rich environment for collecting behavioral and attitudinal data for learning opportunities and academic research. Based on a systematic literature review of the top four project management journals, this research identifies four categories of data sources – communications, reports/records, model representations, and computer systems – and 52 digital assets. The list of digital assets can be inputs for the creation of project artifacts as well as sources for monitoring and controlling project activities and for sense-making in retrospectives or lessons learned. In an illustrative case, this research uses three of the digital assets, social network analysis, and topic modeling to analyze the verbal and written communications between project participants. The classification model and categorization are useful for decision support and artificial intelligence systems model development that requires real-world data.

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Multiphase Assessment of Project Risk Interdependencies: Evidence from a University ISD Project in Taiwan

Cited by 30 publications

References 38 publications

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

Sublating Tensions in the IT Project Risk Management Literature: A Model of the Relative Performance of Intuition and Deliberate Analysis for Risk Assessment

Digital Assets for Project-Based Studies and Project Management

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