Suchergebnisse

Information Communication Technology (ICT) has become a core part of every organization. Any disruption in ICT's main infrastructure may have severe impacts and lead to huge losses. Governmental and military institutions' facilities, networks, and infrastructure are no exception. Defending the ICT military and public installations and infrastructure is vital in both times of peace and war. This study proposes a decision model using the appropriate criteria and fuzzy multiple criteria decision making to select the right action after a cyber-attack. The results show that the fuzzy multiple criteria model constructed in this study could indeed mitigate the inadequacies and uncertainties surrounding the decision to retaliate after a cyber-attack.

Purpose
High-skilled employees are crucial for sustained competitive advantage of organisations. In the "war for talent", organisations must position themselves as attractive employers. This study aims to introduce a unified framework to systematically identify and prioritise organisational attractiveness (OA) components, focusing on the extreme context of the airline industry.

Design/methodology/approach
Treating OA as a multi-criteria decision-making (MCDM) situation, this study uses the Fuzzy Delphi Method to validate key OA factors and the Fuzzy Analytical Hierarchy Process to prioritise them based on experts' judgements.

Findings
This study identifies 5 criteria and 22 sub-criteria for OA, with job characteristics and person–job fit as most critical. These elements signal employment quality and skill–job alignment, reducing information asymmetry and attracting talent.

Practical implications
This research provides a practical framework for airline managers to identify and prioritise key aspects of OA to enhance their value proposition and attract and retain qualified employees. For policymakers, applying the OA framework supports informed policy decisions on employment standards and workforce development.

Originality/value
This research introduces a fuzzy OA index and a framework that enhances OA. By incorporating signalling theory into a fuzzy MCDM approach, it systematically addresses key OA components, offering a strategic method to boost OA.

AbstractThe structure of underground coal mines is vulnerable to many mishaps because of the challenging conditions of production and the unique features of the earth. These incidents could cause significant financial and production losses for the mines in addition to worker injury, disability, or death. In coal mines, methane explosions are a frequent threat. Establishing a safe work environment requires managing these problems with an accident control method. The current study used the fuzzy TOPSIS and fuzzy AHP techniques for this aim. The framework was used to tackle the four-alternative problem of underground coal mine explosion control method selection. To identify potential risks of a methane explosion, a data gathering survey was conducted as part of the suggested hybrid methodology. The fuzzy AHP was used to compute the fuzzy weights of the hazards. "Improper ventilation system" is ranked highest out of the 34 sub-risk factors. The fuzzy TOPSIS was then utilized to rank the explosion control methods using the weights. To assess the viability of the study's conclusions, a sensitivity analysis was carried out. The findings indicate that "improving safety technology" and "financial investments" are the best ways to reduce such events. The results additionally indicate that the fuzzy TOPSIS approach in combination with the fuzzy AHP provides a helpful framework for dynamically assessing mine methane explosion accidents.

Public-private partnership (PPP)-based infrastructure projects generally face many risks and uncertainties at all stages of the project, including initial studies, design, construction, and operation. This causes many challenges such as increased costs, delays in the project and loss of materials and equipment, and so on. Given the need to use the PPP method in the development of infrastructure projects and its broad dimensions, it is important to accurately identify and evaluate the risks involved in these projects. In the present paper, the most important risks in these projects are identified by case study in PPP-based freeway projects in Iran and using the six step-by-step process of risk management based on PMBOK standard, a model for risk assessment it is developed. Also, for quantitative risk analysis, an attempt was made to determine the importance of risks and their priority in the studied projects by using fuzzy multi-criteria decision making techniques (FAHP and FTOPSIS). The results of quantitative risk analysis by FAHP method showed that first level risks in seven different categories including economic and financing risks, construction, operational, legal, political, other risks and government risks, respectively, have the greatest impact on PPP-based freeway projects. They are dedicated to themselves. Also, the results of the general ranking of the sub-criteria showed that high risk financing costs, quality of performance and standards, lack of support infrastructure have the greatest impact on these projects. Finally, the results of FTOPSIS similarity index showed that according to project experts, projects A (Isfahan-Shiraz Freeway), B (Salafchegan-Arak Freeway) and C (Khorramabad-Arak Freeway) with scores of 0.433, 0.3369 and 0.283, respectively, had a greater impact on risks, respectively. Also, the remaining risks that were jointly or at least one of the studied projects had a high impact were identified as final risks and were allocated among the various pillars of the project. The results of this research can be used as a management model in the process of risk assessment and management of PPP projects.