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Recent Developments in Risk Management
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Recent Developments in Risk Management

A special issue of Applied System Innovation (ISSN 2571-5577).

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 22823

Special Issue Editor

Dr. Andrzej Białas

E-Mail Website
Guest Editor
Łukasiewicz Research Network—Institute of Innovative Technologies EMAG, ul. Leopolda 31, 40-189 Katowice, Poland
Interests: Information security; risk management; knowledge engineering; esp. in IT security domain; Common Criteria - design and evaluation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The risk management methodology has been expanding continuously and has recently encompassed a quite new domain of applications, including technology, society, economy, and the everyday lives of people.

The main objective of this Special Issue is to provide a forum to share knowledge, to discuss new concepts and use-cases, and to present research results on risk management methods, models, techniques, and tools, especially for technical or sociotechnical domains of application.

The forum participants are welcome to discuss different aspects of risk management such as those listed below but, of course, not limited to them:

  • New methods for emerging domains of application in society, technology or economy;
  • Research results dealing with risk management methods and tool development or improvement;
  • Trends in the development of standards, especially those related to the emerging domains of application;
  • Emerging challenges in risk management;
  • Improvement of risk assessment accuracy;
  • How to simplify the risk management process for complex applications;
  • Integrating static and dynamic approaches, especially in cyber security;
  • Adaptability, continual improvement of applied methods;
  • Machine learning applications in risk management;
  • Knowledge engineering applications in risk management.

There is a need to discuss risk management methods, models, techniques and tools in the fields of integrated engineering and technology, especially those related to issues presented in the ASI Journal, such as:

  • Different aspects of system analysis and design;
  • Computer-aided methods for design procedure and manufacture;
  • Engineering design methodology and optimization;
  • Computer and human–machine interaction;
  • Internet technology on systematic innovation;
  • Intelligent robot and its control;
  • Application of the Internet of Things.

We encourage authors to submit articles presenting new research results, short communications of significant results, reviews, and feature papers. The papers should emphasize practical aspects of risk management and applications.

Dr. Andrzej Białas
Guest Editor

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. Applied System Innovation is an international peer-reviewed open access semimonthly 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 1400 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.

Published Papers (5 papers)

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Research

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29 pages, 2064 KiB  
Article
Meta-Heuristic Model for Optimization of Production Layouts Based on Occupational Risk Assessment: Application to the Portuguese Wine Sector
by António Agrela Freitas, Tânia Miranda Lima and Pedro Dinis Gaspar
Appl. Syst. Innov. 2022, 5(2), 40; https://doi.org/10.3390/asi5020040 - 31 Mar 2022
Cited by 3 | Viewed by 2287
Abstract
A factory layout is a decisive factor in the improvement of production levels, efficiency, and even in the sustainability of a company. Regardless of the type of layout to be implemented, they are typically designed to optimize the work conditions and provide high [...] Read more.
A factory layout is a decisive factor in the improvement of production levels, efficiency, and even in the sustainability of a company. Regardless of the type of layout to be implemented, they are typically designed to optimize the work conditions and provide high performance, reducing production losses. The wine sector encompasses a wide diversity of possible configurations of production layouts, from one-level designs with separate infrastructures in several buildings or centralized single facilities, or even subdivided into different levels or floors. The general purpose is to maximize energy efficiency and process performance while minimizing costs. Thus, an optimization model based on the organization of productive layouts is proposed, using a methodology based on a genetic algorithm. The obtained results reveal that the optimization model for winery layouts was successfully applied, providing feasible solutions to improve the production processes’ efficiency combined with the minimization of general and ergonomic risks. Full article
(This article belongs to the Special Issue Recent Developments in Risk Management)
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24 pages, 2047 KiB  
Article
Occupational Risk Assessment of Wind Turbines in Bangladesh
by Bijoy Bepary and Golam Kabir
Appl. Syst. Innov. 2022, 5(2), 34; https://doi.org/10.3390/asi5020034 - 04 Mar 2022
Cited by 6 | Viewed by 3872
Abstract
Wind energy is among the foremost vital renewable energy sources in the world. With the increase in its popularity and use, the requirement for safety measures regarding this type of energy is becoming more prevalent. The development and operation requirements that come with [...] Read more.
Wind energy is among the foremost vital renewable energy sources in the world. With the increase in its popularity and use, the requirement for safety measures regarding this type of energy is becoming more prevalent. The development and operation requirements that come with installing and running wind turbines have many risks that need managing and mitigation. This study implemented a risk evaluation method for the transportation, construction, operation, and maintenance of wind turbines, employing the fuzzy method. Fuzzy Analytical Hierarchy Process (FAHP), a multi-criteria higher cognitive process technique, was used to determine the weights of the risk parameters evaluated with the Fine–Kinney method. After that, the Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS) was employed for ranking the hazard’s source. Using Occupational Health and Safety (OHS) consultants, this study was conducted in Bangladesh regarding its onshore turbines. Findings have revealed that the most prevalent hazards during transportation, construction, operation, and maintenance, respectively, are “Driving vehicles at night in dark weather conditions”, “Work in hot and humid conditions”, “Inclement weather”, and “Entering of unauthorized persons”. The results of this study can help the OHS department to track these risks and to control and minimize them. Full article
(This article belongs to the Special Issue Recent Developments in Risk Management)
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39 pages, 6014 KiB  
Article
Towards Design and Development of a Data Security and Privacy Risk Management Framework for WBAN Based Healthcare Applications
by Pangkaj Chandra Paul, John Loane, Fergal McCaffery and Gilbert Regan
Appl. Syst. Innov. 2021, 4(4), 76; https://doi.org/10.3390/asi4040076 - 12 Oct 2021
Cited by 4 | Viewed by 2866
Abstract
Assuring security and privacy of data is a key challenge for organizations when developing WBAN applications. The reasons for this challenge include (i) developers have limited knowledge of market-specific regulatory requirements and security standards, and (ii) there are a vast number of security [...] Read more.
Assuring security and privacy of data is a key challenge for organizations when developing WBAN applications. The reasons for this challenge include (i) developers have limited knowledge of market-specific regulatory requirements and security standards, and (ii) there are a vast number of security controls with insufficient implementation detail. To address these challenges, we have developed a WBAN data security and privacy risk management framework. The goal of this paper is trifold. First, we present the methodology used to develop the framework. The framework was developed by considering recommendations from legislation and standards. Second, we present the findings from an initial validation of the framework’s usability and effectiveness of the security and privacy controls. Finally, we present an updated version of the framework and explain how it addresses the aforementioned challenges. Full article
(This article belongs to the Special Issue Recent Developments in Risk Management)
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19 pages, 1157 KiB  
Article
Chances and Risks of Artificial Intelligence—A Concept of Developing and Exploiting Machine Intelligence for Future Societies
by Reinhard Hutter and Marcus Hutter
Appl. Syst. Innov. 2021, 4(2), 37; https://doi.org/10.3390/asi4020037 - 02 Jun 2021
Cited by 3 | Viewed by 8790
Abstract
Artificial Intelligence (AI): Boon or Bane for societies? AI technologies and solutions—as most revolutionary technologies have done in the past—offer negative implications on the one hand and considerable positive potential on the other. Avoiding the former and fostering the latter will require substantial [...] Read more.
Artificial Intelligence (AI): Boon or Bane for societies? AI technologies and solutions—as most revolutionary technologies have done in the past—offer negative implications on the one hand and considerable positive potential on the other. Avoiding the former and fostering the latter will require substantial investments in future societal concepts, research and development, and control of AI-based solutions in AI security while avoiding abuse. Preparation for the future role of AI in societies should strive towards the implementation of related methods and tools for risk management, models of complementary human–machine cooperation, strategies for the optimization of production and administration, and innovative concepts for the distribution of the economic value created. Two extreme possible “end states” of AI impact (if there is ever an end state) that are being discussed at present may manifest as (a) uncontrolled substitution by AI of major aspects of production, services, and administrative and decision-making processes, leading to unprecedented risks such as high unemployment, and devaluation and the underpayment of people in paid work, resulting in inequality in the distribution of wealth and employment, diminishing social peace, social cohesion, solidarity, security, etc., or, on the contrary, (b) the freeing of people from routine labor through increased automation in production, administration and services, and changing the constitution of politics and societies into constituencies with high ethical standards, personal self-determination, and the general dominance of humane principles, as opposed to pure materialism. Any mix of these two extremes could develop, and these combinations may vary among different societies and political systems. Full article
(This article belongs to the Special Issue Recent Developments in Risk Management)
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Review

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22 pages, 1025 KiB  
Review
“I Want to Serve, but the Public Does Not Understand”—An Approach to Employees’ Intention to Stay in the Malaysian Construction Companies
by Taofeeq D. Moshood, Adekunle Q. Adeleke, Gusman Nawanir, Shahryar Sorooshian and Waliu A. Ajibike
Appl. Syst. Innov. 2021, 4(1), 12; https://doi.org/10.3390/asi4010012 - 16 Feb 2021
Cited by 5 | Viewed by 3035
Abstract
This paper explicitly clarifies an employee’s goal to voluntarily stay in his/her current employment. A large volume of research has concentrated on corporate environments on the causes of workforce turnover. Nevertheless, little was done to investigate workers’ desire to remain, which was the [...] Read more.
This paper explicitly clarifies an employee’s goal to voluntarily stay in his/her current employment. A large volume of research has concentrated on corporate environments on the causes of workforce turnover. Nevertheless, little was done to investigate workers’ desire to remain, which was the essential parameter in determining their stay in the construction sector. Therefore, this research was undertaken to explore the relationship between job embeddedness (off-the-job and on-the-job and the intent of staying in Malaysian construction companies with the mediating impact of continuance commitment. For the analysis, a simple random under probability sampling technique was used. Of the overall 280 samples surveyed, 243 responded and used it in the report, 86.8% of the response rate. A structural equation modeling approach was used to analyze the direct and indirect relationships as drawn by the hypotheses. This research showed that the component of the off-the-job, on-the-job embeddedness and intention to stay were substantially linked. At the same time, continuance commitment plays a full mediation between the convergence of off-the-job, on-the-job and the intention to stay. These findings suggest that construction companies in Malaysia need to consider organizational and community embeddedness relationships along with continuance commitment in the invention of programs designated to influence workers’ intention to stay on their current jobs. Full article
(This article belongs to the Special Issue Recent Developments in Risk Management)
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