Two decades on human reliability analysis: A bibliometric analysis and literature review

Hou, Lin-Xiu; Liu, Ran; Liu, Hu‐Chen; Jiang, Shan

doi:10.1016/j.anucene.2020.107969

Cited by 59 publications

(30 citation statements)

References 150 publications

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“…A PRISMA framework is frequently used in the literature [16][17][18][19][20][21][22][23] which is followed as the review methodology of this study. e referenced review studies have considered the following issues in designing their review frameworks: (1) search strategy, (2) inclusion-exclusion criteria, (3) study selection, and (4) data extraction and classification.…”

Section: Review Methodologymentioning

confidence: 99%

Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

Gül

Güneri

2021

Mathematical Problems in Engineering

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The increased focus of people on the quality of health care in recent years has led hospital owners to develop strategies and policies to improve medical services through the establishment of new hospitals. For hospitals to be competitive, the hospitalʼs location and proximity to potential patients are considered crucial factors in establishing new hospitals. In this context, evaluating and selecting the most suitable hospital location to establish a new hospital from the multicriteria decision-making (MCDM) perspective is a priority for the entrepreneurs or government to gain a competitive advantage. Therefore, this study aims to present a systematic literature review of the hospital location selection problem considering the applied methods and application areas. The preferred reporting items for systematic review and meta-analysis statement (PRISMA) are used as a reference framework. Initially, known electronic databases (Web of science, IEEEXplore, Scopus, Science direct, and Google Scholar) were searched up to the early 2021. A number of 47 articles are selected and analyzed under this systematic framework based on inclusion-exclusion points. State-of-the-art developments in adopting MCDM methods and their fuzzy extensions are summarized. All the articles have been examined in a systematic taxonomy to find answers to six research questions (trend, country of origin, outlet journal, MCDM methods used, MCDM environment and criteria type, and decision criteria used). Results show that (1) AHP and GIS-based MCDM models are the most contributing approaches to the solution of this problem, (2) location selection criteria are mostly cost, demand, environment, population, government, competition in the market, and distance to some important places, (3) the fuzzy structure is also preferred in addition to the MCDM structure depending on the crisp data type, and (4) the location selection criteria are mostly considered subjective. We pay attention to promising directions that can dominate future research in this field from a methodological or applicability perspective. This study shows the current views and opportunities for researchers and practitioners and acts as a guide to encourage more creative studies in this field.

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Section: Review Methodologymentioning

confidence: 99%

Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

Gül

Güneri

2021

Mathematical Problems in Engineering

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“…In the vast majority of bibliometric analyses and articles, US scholars are consistently ranked first in total articles numbers and total citation frequencies. The total articles and total citation frequencies from UK scholars often ranked second [53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71][72].…”

Section: Productive Regions/countriesmentioning

confidence: 99%

Science Mapping: A Scientometric Review on Resource Curses, Dutch Diseases, and Conflict Resources during 1993–2020

Wong

2021

Energies

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Over the past few decades, the wealth of Africa has not made African wealthy. There is a voicing that Africa is cursed, whether richly poor or poorly rich. Sub-Saharan Africa is commonplace for political turbulence, as well as humanitarian and economic misery. In such a catastrophic situa-tion, political economics studies have focused on the Resource Curses, Dutch Diseases, and Con-flict Resources in this area. A systematic scientometric analysis of this field would be beneficial but is currently lacking in the academic literature. Using VOSviewer and CiteSpace, this review fills the void by analyzing the 1783 articles published in the WoS SSCI Collection between 1993 and 2020 on the “Resource Curses”, “Dutch Diseases”, and “Conflict Resources”. The author dis-cusses recent papers with disruptive potential, references with the most robust citation explora-tions, and cooperation networks between authors and institutes. Three hotspots were detected: the causes and effects of the Resource curses; the interaction among the Resource Curses, Dutch Diseases, and Conflict Resources; the factors that affect rent collection and regime resilience. While the literature on the “Resource curse” and “Dutch Disease” has been around longer, studies on “Conflict Resources” are picking up quickly. Conflict Resources were characterized by active citation exploration keywords and multiple active co-citation clusters, including possibly groundbreaking articles. There is a massive overlap between the three strings of literature, but each one has its emphasis.

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“…Recently, Hou et al [ 6 ] conducted a comprehensive bibliometric analysis of the HRA field, identifying blind spots in the literature and suggesting potential future research directions. According to the study results, traditional HRA methods are not suitable for today’s working environments due to the transformation of tasks and systems.…”

Section: Introductionmentioning

confidence: 99%

Integrating Human Barriers in Human Reliability Analysis: A New Model for the Energy Sector

Guglielmi

Paolucci

Cozzani

et al. 2022

IJERPH

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Human reliability analysis (HRA) is a major concern for organizations. While various tools, methods, and instruments have been developed by the scientific community to assess human error probability, few of them actually consider human factors impact in their analysis. The active role that workers have in shaping their own performance should be taken into account in order to understand the causal factors that may lead to errors while performing a task and identifying which human factors may prevent errors from occurring. In line with this purpose, the aim of this study is to present a new methodology for the assessment of human reliability. The proposed model relies on well-known HRA methodologies (such as SPAR-H and HEART) and integrates them in a unified framework in which human factors assume the role of safety barriers against human error. A test case of the new method was carried out in a logistics hub of an energy company. Our results indicate that human factors play a significant role in preventing workers from making errors while performing tasks by reducing human error probability. The limits and implications of the study are discussed.

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Two decades on human reliability analysis: A bibliometric analysis and literature review

Cited by 59 publications

References 150 publications

Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

Science Mapping: A Scientometric Review on Resource Curses, Dutch Diseases, and Conflict Resources during 1993–2020

Integrating Human Barriers in Human Reliability Analysis: A New Model for the Energy Sector

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