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As supply chains in today's world become more complex and fragile, enhancing the resilience of maritime transport is increasingly imperative. The COVID-19 epidemic in 2020 exposed the vulnerability of existing supply chains, causing substantial impacts such as supply shortages, procurement constraints, logistics delays and port congestion, highlighting the need to build resilient maritime transportation networks (MTNs) and reigniting research on the resilience of maritime transport. Based on science mapping, we quantitatively analysed the domain of resilience of MTNs. We mainly study the resilience of MTNs from the following aspects: the construction of MTNs and their topological characterization, vulnerability-orientated resilience analysis of MTNs, recovery-orientated resilience analysis of MTNs, investment decision-orientated resilience analysis of MTNs, climate change-orientated resilience analysis of MTNs and pandemic-orientated resilience analysis of MTNs. This study reviews recent advances in MTN resilience research, highlighting research topics, shortcomings and future research agenda. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has emerged as an effective solution to alleviate excessive carbon emissions in sustainable building projects. Although there are numerous applications of AI, there is no state-of-the-art review of how AI applications can reduce net-zero carbon emissions (NZCEs) for sustainable building projects. Therefore, this review study aims to conduct a systematic literature and science mapping review of AI applications in NZCEs for sustainable building projects, thereby expediting the realization of NZCEs in building projects. A mixed-method approach (i.e., systematic literature review and science mapping) consisting of four comprehensive stages was used to retrieve relevant published articles from the Scopus database. A total of 154 published articles were retrieved and used to conduct science mapping analyses and qualitative discussions, including mainstream research topics, gaps, and future research directions. Six mainstream research topics were identified and discussed. These include (1) life cycle assessment and carbon footprint, (2) practical applications of AI technology, (3) multi-objective optimization, (4) energy management and energy efficiency, (5) carbon emissions from buildings, and (6) decision support systems and sustainability. In addition, this review suggests six research gaps and develops a framework depicting future research directions. The findings contribute to advancing AI applications in reducing carbon emissions in sustainable building projects and can help researchers and practitioners to realize its economic and environmental benefits. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has emerged as an effective solution to alleviate excessive carbon emissions in sustainable building projects. Although there are numerous applications of AI, there is no state-of-the-art review of how AI applications can reduce net-zero carbon emissions (NZCEs) for sustainable building projects. Therefore, this review study aims to conduct a systematic literature and science mapping review of AI applications in NZCEs for sustainable building projects, thereby expediting the realization of NZCEs in building projects. A mixed-method approach (i.e., systematic literature review and science mapping) consisting of four comprehensive stages was used to retrieve relevant published articles from the Scopus database. A total of 154 published articles were retrieved and used to conduct science mapping analyses and qualitative discussions, including mainstream research topics, gaps, and future research directions. Six mainstream research topics were identified and discussed. These include (1) life cycle assessment and carbon footprint, (2) practical applications of AI technology, (3) multi-objective optimization, (4) energy management and energy efficiency, (5) carbon emissions from buildings, and (6) decision support systems and sustainability. In addition, this review suggests six research gaps and develops a framework depicting future research directions. The findings contribute to advancing AI applications in reducing carbon emissions in sustainable building projects and can help researchers and practitioners to realize its economic and environmental benefits.

From the first discussions on Corporate Social Responsibility (CSR) in the 1950s to today, there is evidence of a ramification of concepts associated with CSR that produce a web of relationships that evolves in different directions. This paper analyses the conceptual structure of the CSR field, contributing to understanding its development and evolution between 1975 and 2021, opening a discussion of what these concept relationships might show in the understanding, development, and future application of CSR in business and society. For this purpose, networks of concepts were identified by using the SciMAT software on 6861 papers obtained from the WOS database in the Business and Management categories in the field of study. The results show that the field still appears to be far from understood and is very focused on the interests of companies. We offer and opportunity to rethink its purpose from a perspective that integrates other dimensions that concentrate on the society–business relationship. Based on these results, this study presents new research directions to explore both the drivers and results of the application of CSR. [ABSTRACT FROM AUTHOR]

• The paper compared the foci of construction hazard awareness between academia and laypeople. • This study included 11,829 Weibo microposts and 769 Web of Science articles. • The research adopted VOSviewer, Python, MYSQL and Tableau for analysis. • Academia focused more on high-tech stuff, such as artificial intelligence. • Weibo focused more on the types of construction safety and health hazards. The construction industry is one of the most hazardous industries, and construction hazard awareness is a major concern and vital at work. This paper compared 11,829 construction safety and health hazard awareness Weibo microposts and 769 articles indexed in Web of Science (WoS) from 1900 to 2021. It compared different foci between academia and laypeople by studying safety hazards like fire, electrical, chemical, collapsing trenches, and health-related risks such as asbestos and heat stress. The first construction safety and health hazard paper was published in 1991 in WoS, while the first construction hazard awareness related Weibo microposts appeared in 2011. Safety Science is the journal that publishes most articles in this area, and the US is the most productive country. On the other hand, the top 5 Weibo microbloggers were government departments. Popular construction safety and health hazard Weibo topics included collapse, earthquake, safety management, risk management, high-level and construction situation etc. In contrast, 20% of researchers' most popular topics in construction hazard awareness were hazard identification, recognition, computer vision, virtual reality, tracking, simulation. The results showed that academia focused on high-tech stuff, such as artificial intelligence. However, in sharp contrast, it was seldom mentioned with construction safety and health hazard awareness in Weibo despite artificial intelligence having already become part of our daily lives. [ABSTRACT FROM AUTHOR]

This paper provides a systematic review of the phenomenon of menopause at the workplace from a sustainable career perspective, by highlighting its major themes along with the evolution and tendencies observed in this field. A conceptual science mapping analysis based on co-word bibliographic networks was developed, using the SciMAT tool. From 1992 to 2020, 185 documents were retrieved from the Web of Science. In the first analyzed time span (1992-2002), postmenopausal women , health , and risk factors appeared to be the motor themes (well-developed and important for the structure of the discipline under focus), and disorder was an emerging or disappearing theme in the phenomenon under research. In the second studied period (2003-2013), risk and health were motor themes, menopausal symptoms was a basic or transversal theme (important for the discipline but not well-developed), coronary heart disease was a specialized theme (well-developed but less important for the structure of the research field), and postmenopausal women was an emerging or disappearing theme (both weakly developed and marginal to the field). In the third studied period (2014-2020), menopause , breast cancer , and menopausal symptoms were motor themes, Anxiety was a specialized theme and risk and body mass index were emerging or disappearing themes. Sustainability of women's careers in the second half of life is of increasing importance given the increasing equal representation of men and women in working organizations, and the impact of the changing nature of work in the 21st century on older workers.

Microbial inoculants are widely accepted as potential alternatives or complements to chemical fertilizers and pesticides in agriculture. However, there remains a lack of knowledge regarding their application and effects under field conditions. Thus, a quantitative description of the scientific literature related to soil microbial inoculants was conducted, adopting a science mapping approach to observe trends, strengths, and weaknesses of their application during the period of 2000–2020 and providing useful insights for future research. Overall, the study retrieved 682 publications with an increasing number during the 2015–2020 period, confirming China, India, and the U.S. as leading countries in microbial inoculants research. Over the last decade, the research field emphasized the use of microbial consortia rather than single strains, with increasing attention paid to sustainability and environmental purposes by means of multidisciplinary approaches. Among the emerging topics, terms such as "persistence" indicate the actual need for detecting and monitoring the persistence and fate of soil microbial inoculants. On the other hand, the low occurrence of terms related to failed studies as well as formulation processes may have limited the overall comprehension of the real potential of microbial inoculants to date. In conclusion, successful application of soil microbial inoculants in agriculture requires filling the fundamental knowledge gaps related to the processes that govern dynamics and interactions of the inoculants with soil and its native microbiota. [ABSTRACT FROM AUTHOR]