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.

This article explores how Artificial Intelligence (AI) transforms workforce optimization in logistics and supply chain operations. By integrating technologies like machine learning, predictive analytics, robotic process automation, natural language processing, computer vision, and digital twins, organizations can shift from manual, reactive workforce planning to proactive, data-driven strategies. AI enables dynamic scheduling, real-time task reassignment, predictive labor forecasting, and continuous performance monitoring, improving efficiency and reducing costs. The article also addresses ethical concerns such as transparency, bias, and privacy, and outlines key implementation challenges including data quality, employee resistance, and digital skills gaps. Ultimately, it argues that AI is not just a tool for automation but a catalyst for strategic transformation, helping organizations create agile, resilient, and human-centered workforce ecosystems suited for today's complex supply chain landscape.

This chapter explores the role of Artificial Intelligence (AI) in enhancing employee wellness by addressing physical, mental, emotional, and organisational dimensions of well-being. It highlights the increasing significance of workforce wellness in driving productivity, retention, and organisational success, while positioning AI as a transformative tool for workplace health strategies. The chapter reviews the evolution of wellness programmes, particularly in response to digital shifts and changing employee expectations in the post-pandemic era. Key AI technologies such as machine learning, natural language processing, chatbots, and wearables are discussed for their potential to offer predictive analytics, personalised wellness programmes, and mental health support. Ethical considerations, including transparency, data privacy, and employee autonomy, are examined alongside challenges like AI bias, digital literacy, and implementation costs. Case studies from technology, healthcare, and education sectors illustrate practical applications and best practices.

This chapter explores the influence of soft skills on graduate employability among final-year students within the Malaysian Technical University Network (MTUN). In today's competitive labor market, competencies such as communication, teamwork, adaptability, and problem-solving are essential complements to technical knowledge. Grounded in Human Capital Theory and Social Cognitive Theory, this study employed a quantitative research design with 370 respondents from four MTUN institutions. Findings indicate that soft skills significantly and positively affect graduate employability, with higher proficiency linked to increased job readiness and alignment with employer expectations. The chapter offers practical insights for higher education institutions, industry stakeholders, and policymakers, emphasizing the importance of integrating soft skills development into technical curricula to enhance workforce preparedness and improve employment outcomes.

This study presents a comprehensive bibliometric analysis titled "Mapping the Intersection of Construction Project Success: A Bibliometric Analysis of Global Research Trends and Future Directions," aimed at identifying research patterns, key contributors, and emerging directions in the field of construction project management and project success. Despite the growing body of literature on this topic, a systematic overview of the intellectual structure and global trends remains limited. Addressing this gap, the study applies a rigorous data collection process using the Scopus database, guided by the search terms "construction project management" and "project success." The search was restricted to journal articles published in English between 2000 and 2025, resulting in a final dataset of 432 articles. The data was refined using OpenRefine to ensure consistency, while Scopus Analyzer and VOSviewer software were employed to map co-authorship, keyword co-occurrence, and citation networks. The results reveal that the keywords "construction industry," "critical success factors," "project success," and "project management" are the most frequently occurring, highlighting the dominant themes in the field. The United Kingdom, Malaysia, and Australia emerged as the top contributing countries, with notable citation impacts from regions like Hong Kong and Australia. Additionally, authorship and institutional collaboration patterns were examined, revealing productive scholars and influential affiliations. The analysis identifies gaps in geographical coverage and recommends further research in developing economies and emerging technologies. In conclusion, this study not only offers a structured insight into the evolution of construction project success literature but also proposes future research directions that can enhance global knowledge, support policy-making, and guide practitioners toward more effective project outcomes.