Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.3
1.9
Journals
Systems
Special Issues
Risk Management in Project Management—How Two Major Dimensions (Relational and...
share announcement

Risk Management in Project Management—How Two Major Dimensions (Relational and Processual) Influence Risk Management in Project Management

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Project Management".

Deadline for manuscript submissions: 3 June 2024 | Viewed by 611

Special Issue Editors

Dr. Marco Nunes

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Beira Interior, 6201-001 Covilhã, Portugal
Interests: project management; risk management; collaborative networks; data science
Dr. António Abreu

E-Mail Website
Guest Editor
1. Department of Mechanical Engineering, Polytechnic Institute of Lisbon, 1959-007 Lisbon, Portugal
2. CTS Uninova, 2829-516 Caparica, Portugal
Interests: project management; risk management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As you know, almost everything that exists can be modeled as a system. This enables us to study and analyze a given system in order to gain an understanding of it and enable external interference. Regardless of whether it is a closed or open system, two critical project management dimensions (relational and processual) can be modeled as systems. Given the increasing importance of minimizing/eliminating “project waste” across different project phases, organizations increasingly implement strategies to manage project risks, namely in two critical dimensions (relational—the interaction between the direct and indirect project stakeholders across the different phases of a PLC; processual—the tools, techniques, and frameworks used to run projects aiming to eliminate/minimize project risks).

In this line of thought, the aim of this Special Issue is to provide readers with the latest developments in risk strategies related to these project dimensions and thus examine project success/failure outcomes regarding these two dimensions.

We are pleased to invite you to contribute research, position papers or other insightful articles that reflect your expertise in the field of the abovementioned subject.

For this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

Aim: To understand the impact of two critical project dimensions (relational, and processual) to manage risk in project management.

Scope: Risk management in project management—how two major dimensions (relational and processual) influence risk management in project management.

I/We look forward to receiving your contributions.

Dr. Marco Nunes
Dr. António Abreu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • project management
  • risk management
  • people analytics
  • project lifecycle
  • project challenges
  • project network analysis
  • relational dimension
  • processual dimension
  • tools and techniques used in project management

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 988 KiB  
Article
A Novel Intuitionistic Fuzzy Set-Based Risk Priority Number Method for Solving Chemical Experiment Risk Evaluation
by Hsiang-Yu Chung, Tzu-Hao Ting and Kuei-Hu Chang
Systems 2024, 12(5), 155; https://doi.org/10.3390/systems12050155 - 30 Apr 2024
Viewed by 293
Abstract
Scientific experiments cover a wide range of fields—from basic to applied scientific research. Chemical experiments are the basis for cultivating chemical knowledge in scientific experiments and are an important way to cultivate scientific thinking and methods. However, due to the toxicity or flammability [...] Read more.
Scientific experiments cover a wide range of fields—from basic to applied scientific research. Chemical experiments are the basis for cultivating chemical knowledge in scientific experiments and are an important way to cultivate scientific thinking and methods. However, due to the toxicity or flammability of the chemical substances in the experiments, hazardous events often lead to personal injuries and environmental damage. Exactly assessing risk factors and reducing the risk of hazards to protect the experimenters and ensure environmental safety are crucial in chemical experiments. However, while the traditional risk evaluation method cannot consider the weight of risk evaluation criteria, it also cannot effectively address problems through hierarchical analysis, as well as imprecise and ambiguous information inherent in human cognition. Therefore, this paper proposed an approach based on failure mode and effects analysis (FMEA) to assess the risk of chemical experiments in a fuzzy information environment. The approach combines the typical analytic hierarchy process (AHP), the risk priority number (RPN) of FMEA, and the intuitionistic fuzzy set (IFS) methods to evaluate risks associated with chemical experiments and consider the damage recovery in chemical experiments. This study applied the case of a university chemistry experiment, “preparation of hydrogels”, to validate the reasonableness and correctness of the proposed approach and compare its numerical verification results with those from the typical RPN, the AHP-RPN, and the AHP-fuzzy risk priority number (AHP-FRPN) methods. The finding demonstrates that the proposed method can more effectively address risk evaluation problems in chemical experiments than the other methods. This result serves as an important reference for reducing chemical experiment risk occurrences. Full article
(This article belongs to the Special Issue Risk Management in Project Management—How Two Major Dimensions (Relational and Processual) Influence Risk Management in Project Management)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop