This exploratory study uses systematic reviews of published journal papers from 2018 to 2022 to identify research trends and present a comprehensive overview of disaster management research within the context of humanitarian logistics. This review is guided by the PRISMA Statement (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) review method. A systematic review of Scopus and the Web of Science turned up 23 related studies. Further review of these articles revealed nine main themes and produced a total of 42 sub-themes. Findings reveal that little attention has been devoted to the study of the information needs of humanitarian logistics during disaster response. The majority of previous research focused on disaster management before, during, and after disasters without comprehensively exploring the information required by humanitarian logistics providers for effective logistics support for disaster victims. The trends show that the information based on logistics needs presented is not significant. This study contributes to understanding past, present, and future research agendas and provides insight into current research status in information based on logistics needs in disaster management. Recommendations are highlighted related to using qualitative data analysis software, such as NVivo or Atlas.ti, as an analysis tool and practicing complementary searching techniques, such as citation tracking, reference searching, snowballing, and contacting experts.

The world's industries, transportation systems, and households rely heavily on fossil fuels despite their limited availability and high carbon content. Therefore, it is of the utmost importance to improve fossil fuel energy efficiency in order to facilitate the shift towards a sustainable energy system with reduced greenhouse gas emissions. This paper employs a slacks-based measure network data envelopment analysis model with undesirable outputs to assess the efficiencies of fossil fuel energy in the Association of Southeast Asian Nations (ASEAN) countries during a span of seven years, specifically from 2015 to 2021. The inclusion of undesirable outputs in this study is important because it allows for a more realistic assessment of efficiency by considering factors like CO2 emissions, which are undesirable outcomes associated with fossil fuel use. The datasets utilised in this study are sourced from the U.S. Energy Information Administration and the open data website of Our World in Data. Based on the findings, it can be observed that Singapore and the Philippines have demonstrated outstanding performance in maximising the utilisation of fossil fuels. In contrast, Myanmar exhibits the lowest level of efficiency in this analysis. By identifying top-performing countries in terms of fossil fuel efficiency, it is possible to implement measures to boost efficiency in under-performing countries. This can be achieved through the promotion and adoption of cleaner energy alternatives, specifically renewable energy sources that exhibit a low or negligible carbon footprint. These findings offer significant contributions to policymakers exploring sustainable energy usage, environmental stewardship, and the formulation and execution of comprehensive strategies that aim to mitigate carbon dioxide emissions arising from the consumption of fossil fuels in the ASEAN region.

Disasters in Malaysia are managed using a framework developed through Directive 20 by the National Security Council. This framework is widely used in managing floods on the East Coast of Peninsular Malaysia. However, the prolonged rains that occurred on 17 December 2021 tested the capabilities of the existing framework: the rains caused floods in urban areas, which is unusual. This study was conducted to investigate the flood situation using data from the media, observations of the affected area, and people’s perceptions to determine their actions upon receiving flood information from the media. This study used thematic analysis to analyze the media content on the floods in Selangor. Next, observation techniques were used in one of the most affected areas, namely Hulu Langat, Selangor, where content analysis of field notes was implemented to determine the emerging themes that were being formed. Finally, an online survey questionnaire was distributed through social media. This study’s findings established that what was reported in the media was correct; however, what actually occurred was worse than what was stated in the media. Through the survey, it was found that people are extremely reliant on social media and assume that logistical constraints in the delivery of assistance have contributed to negative public perceptions of disaster management agencies.

HRMARS is well established journal publisher based in Pakistan. It is publishing prominent journals in social sciences since 2011.