Resilience estimation of critical infrastructure systems: Application of expert judgment

Mottahedi, Adel; Sereshki, Farhang; Ataei, Mohammad; Qarahasanlou, Ali Nouri; Barabadi, Abbas

doi:10.1016/j.ress.2021.107849

Cited by 43 publications

(16 citation statements)

References 95 publications

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“…Based on this rule, six to eight experts (and no fewer than four) should participate in the survey. Besides, the opinions of experts should be taken linguistically [ 26 ]. The description of the methods mentioned in this paragraph is presented in the following sub-sections.…”

Section: The Proposed Methodologymentioning

confidence: 99%

Fuzzy MADM-Based Model for Prioritization of Investment Risk in Iran’s Mining Projects

Shahabi

Basiri

Qarahasanlou

et al. 2022

Int. J. Fuzzy Syst.

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Investment in mineral industries always deals with various economic, political, technical, and environmental risks. Not paying enough attention to such risks increases the possibility of investment failure. Accordingly, in this study, the risk criteria for investing in mineral industries and sub-criteria for risk assessment according to the type of industries, including mineral exploration, exploitation, and processing projects, have been identified and prioritized. In this regard, a methodology is presented based on multi-attribute decision-making methods, including Fuzzy Delphi, DEMATEL, and ANP methods to identify and analyze the risk criteria and evaluate sub-criteria. The results indicate that financial and commercial, technical, HSE, infrastructural considerations, geological, political, security, and legal risks are the main risk measures affecting investment in mining projects with different priorities. From the viewpoint of investment risk assessment in mineral processing and exploration projects, technical, financial and commercial, and geological risk criteria are the most significant, respectively. Generally, all risk criteria must be considered to make a reasonable investment in the mining sector, especially those more important.

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Section: The Proposed Methodologymentioning

confidence: 99%

Fuzzy MADM-Based Model for Prioritization of Investment Risk in Iran’s Mining Projects

Shahabi

Basiri

Qarahasanlou

et al. 2022

Int. J. Fuzzy Syst.

Self Cite

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“…The ranking and weighting of the criteria and indicators will be performed before performing the overall assessment stage of each strategy's criteria and indicators. In this study, the Equal Important, Expert Judgment, and Analytical Hierarchy Process (AHP) techniques were ranked and weighted, as shown in Tables 2, 3, and 4 [36,37,38]. Then, as shown in Table 5, determine the standardization of values and the selected strategy [39,40].…”

Section: Determination Of the Selected Strategymentioning

confidence: 99%

Analysis of road network system development plans and strategies in West Papua

Parlindungan¹,

Adisasmita²,

Manusawai³

et al. 2023

GSC Adv. Res. Rev.

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Manokwari Regency's development of a road network system is crucial to accelerating the improvement of the status of national roads, which are currently disrupting the convenience of road use and the surrounding community due to the degree of saturation being in category F, which includes limited traffic flow, low speed, volume below capacity, and a lack of safety features. Strategy III of West Papua Province's constructed road network system adaptations to local contexts and national hospitality strategies is selected using the Equal Important, Expert Judgment, and Analytical Hierarchy Process methodologies. Next, conduct a SWOT analysis, leading you to an IFE of 3.0 and an EFE of 2.86. To take advantage of chances and lessen the impact of threats, it is necessary first to identify the strategies of aggressive SO. Specifically, 64 SO techniques were identified by having managers and city planners mix 8 strength elements with 8 opportunity components. Unfortunately, few of these chimerical strategies performed well. West Papua's managers and city planners identified six feasible SO solutions to improve the city's transportation system.

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“…In the face of globalization, the technological revolution 4.0 and the COVID-19 pandemic have forced organizations to pay more attention to the innovation process to create agility and continuous adaptation [72] to ensure the future of their business [11]. Companies approach digital innovation in the context of rethinking and transforming existing products [89] and allocate a significant portion of the budget to innovation processes [62,82] to achieve a digital resilience framework [22]. In many cases, digital resilience transformation and creation have been achieved through the adoption of Industry 4.0 technologies [3].…”

Section: Digital Innovationmentioning

confidence: 99%

“…Several studies have explored the main factors of innovation and business success in different organizations and the environments in which they operate [21] to achieve effective resilience management [22].…”

Section: Introductionmentioning

confidence: 99%

A Structural Framework for Assessing the Digital Resilience of Enterprises in the Context of the Technological Revolution 4.0

Mehedințu

Şoavă

2022

Electronics

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This research aims to develop a conceptual model to establish the influence of digital core investment and digital innovation on digital resilience at the enterprise level. The data were collected through a questionnaire-based survey of managers and IT specialists of companies. The analysis was performed using structural equation modeling with SPSS Statistics and Amos software. Based on the literature review, the study identifies the main factors that can ensure digital resilience and assesses their impact on Romania’s private and public companies. The research results confirm the hypotheses presented in the article, emphasizing that digital resilience is the result of the collaboration of several factors with different effects, determined by using Industry 4.0 technologies. Thus, digital core and digital innovation investments help improve digital resilience. Moreover, digital core investments have a positive impact on the digital resilience of enterprises, mediated by digital innovation investments. The study’s novelty consists in the realization of a model of interconnected analysis of several variables specific to digital and innovative technologies to ensure the resilience framework at the company level. The research offers valuable results which can be used by companies in Romania or other European Union countries to ensure their digital resilience.

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Resilience estimation of critical infrastructure systems: Application of expert judgment

Cited by 43 publications

References 95 publications

Fuzzy MADM-Based Model for Prioritization of Investment Risk in Iran’s Mining Projects

Fuzzy MADM-Based Model for Prioritization of Investment Risk in Iran’s Mining Projects

Analysis of road network system development plans and strategies in West Papua

A Structural Framework for Assessing the Digital Resilience of Enterprises in the Context of the Technological Revolution 4.0

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