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Construction experts acknowledge the adverse effects of rework on project performance. However, the limited understanding of its underlying causes remains a significant challenge. Therefore, this study aimed to thoroughly investigate the sources of construction rework.

A mixed review using bibliometric analysis as a quantitative method and content analysis as a qualitative method was performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of major research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 107 journal articles on rework causes from 1991 to 2023. RStudio Bibliometrix, an R statistical programming package, was used to analyze rework origins. This method involved mapping the research landscape, identifying research gaps and analyzing emerging trends.

The causes of rework can be classified into three main clusters: human- and contractual-based rework causes, design-, quality- and project management-based rework causes and organizational-based rework causes.

Although several studies have addressed rework causes from various perspectives and methods, the topic has not been investigated holistically. This study is the first to leverage the quantitative and qualitative analytical capabilities of the RStudio Bibliometrix package. Innovative approaches, including the use of metrics, such as the h-index, thematic mapping and trend topic analysis, were employed for a comprehensive understanding of rework causes.

Patient safety is a top priority globally. A robust healthcare system requires strategic collaboration between research and development. The author analysed over 300 cases from seven hospitals using the failure modes, effects, and criticality analysis (FMECA) tool to understand the underlying causes of medical errors.

The author studied seven hospitals and 300 cases using FMECA to prioritise activities. The findings showed that high-priority events occurred less frequently but had the potential to cause the most harm. Team members evaluated independently to ensure unbiased evaluations. This approach is useful for setting priorities or assessing difficulties.

Poor communication and lack of coordination among staff in a healthcare organisation caused misunderstandings, ineffective decision-making, delays in patient care, and medical errors. Implementation of effective communication and coordination protocols can help avoid these problems.

The study recommends using FMECA to identify and prioritise failures and conducting in-depth analyses to understand their root causes. It also highlights the importance of interdisciplinary knowledge and soft skills for healthcare staff.

This study reveals the significance of FMECA in healthcare risk management and benchmarking. FMECA helps identify system failures, develop prevention strategies, and evaluate effectiveness against industry benchmarks. It offers healthcare professionals a valuable tool to enhance patient safety and improve healthcare quality.

The purpose of this paper is to present a case study the application of lean six sigma combined with mining transportation overall vehicle effectiveness (MTOVE) to improve mining transportation performance. MTOVE is a newly developed model to measure the overall effectiveness of mining transportation.

The method used is case study combines the MTOVE and LSS methodologies. Data were collected from the hauling operation during a three-month period. Various lean six-sigma tools, such as the Pareto chart, ANOVA, two sample t-tests, one sample t-test, cause-and-effect analysis and time study, have been used.

The case study resulted in improvement of vehicle overall effectiveness; a 35% increase in MTOVE value, a 17% improvement in productivity and a 9% increment in truck utilization. Statistical tests confirmed the significance of reducing the mean and variation in the hauling process cycle time, which led to productivity improvement.

This study provides practitioners with additional quantitative evidence of the potential benefits of LSS methods in the coal mining industry.

This paper practically and unquestionably has contributed to the LSS body of knowledge focused on the mining sector, which is recently still far behind the manufacturing sector. The study has demonstrated that some challenges in the mining environment can be solved through the effective implementation of LSS tools. Hence, this paper could be used as a reference for both researchers and practitioners.

The study contributes in the field of LSS spread in mining industries using a case study. This study shows practical evidence of improving overall vehicle effectiveness using LSS. Practitioners can refer to this study to understand the benefits of LSS in mining sector. Since the mining industry should also adopt the LSS principle into the mining business process due to its ability to improve business performance (Valente et al., 2020; Tupamahu et al., 2019; Zanon et al., 2021).

There has been little scientific study of the LSS implementation in the mining industry. This research provides detailed evidence of LSS implementation in the mining sector. The main contribution is the implementation framework, which shows the combination of newly developed indicators (MTOVE and LSS) to enhance hauling operation effectiveness. This paper demonstrates how LSS tools and methods can be applied in the mining transportation industry.

This study examines the preparedness and responsiveness of Malaysian academic librarians in handling disruptions in library services during a disaster.

This qualitative approach involved semi-structured interviews with decision-makers, chief librarians and library managers from five selected public universities.

Thematic and qualitative data analysis produced several key themes based on (1) disaster preparedness involving policies, plans, asset protection, risk management, coordination of disaster management and preparative measures; and (2) disaster response involving strategies for information and communication access, community engagement, emergency response teams and procedures, and resource availability.

The findings are expected to be useful for policymakers in formulating policies and guidelines for library disaster management plans.

The interruptions of academic library services during a disaster may result in the disruption of the information sources and social information networks of students, academics and researchers alike. Effective disaster management is also the library’s responsibility to protect collections that belong to society at large.

This is one of the first attempts in disaster management research to focus on the preparedness and responses of academic libraries in Malaysia in the face of disasters. Therefore, the results of this study can be used as a baseline for policymakers to prepare policies, guidelines and manuals for management in the event of a disaster.

This study aims to use institutional and upper echelons theories to comprehensively investigate the intricate interplay between TMT legal expertise and firms' adaptive strategies in legal contexts, notably within emerging economies. It explores how upper echelons experiences shape opportunistic compliance strategies, impacting value and risk perceptions. Drawing on upper echelons theory, the research probes how TMT legal expertise molds firms’ involvement in significant lawsuits, accounting for influential roles. It scrutinizes TMT’s impact on legal strategies, positing that managerial discretion emerges from environmental factors, organizational attributes and executive traits. The study underscores TMT’s internal incentives and external factors’ interplay, molding strategic legal engagement.

To validate this framework, statistical analysis is performed on data from 2,584 Chinese-listed firms. The data set spans 2010–2015, with 5,713 material lawsuits. Chosen due to reliable institutional-level incentives data from the China Market Index Database, years 2016–2019 are excluded for methodological disparities. Moreover, 2007–2009 is omitted to mitigate the potential financial crisis impact. This study’s 11,272 observations ensure robust empirical exploration, offering insights into the interplay of TMT legal expertise, institutional factors and firms’ legal strategies.

The study reveals that firms led by executives with legal expertise are more prone to engage in significant lawsuits, indicating strategic use of legal skills. TMT age moderates this, with older teams less likely to engage. TMT tenure’s effect remains unclear due to tenure-risk preference complexity. Institutional factors matter; less legally mature regions reduce managers’ legal risk intention. Results confirm hypotheses and highlight executive human capital’s impact on firms’ legal strategies.

This study acknowledges contributions while highlighting limitations, including the need for detailed distinctions in lawsuit roles and exploration of heterogeneous TMT power dynamics. Further research is proposed for nuanced power dynamics and comprehensive TMT legal background data. The study advances upper echelons theory by introducing TMT legal expertise as a factor influencing strategic lawsuit behavior. It challenges institutional theory by showing the adaptable legal context, beyond fixed constraints. Moderating factors – group risk attitude and external knowledge – deepen understanding of upper echelons’ impact. Enhanced data collection is encouraged to address limitations and refine findings.

This study’s implications extend to managerial practices. Firms should acknowledge the dynamic legal system, using TMT legal expertise for strategic legal challenges. Executives should pragmatically approach regulations. While legal professionals enhance compliance, caution is needed in selecting TMT members with legal expertise due to the risk of misusing it for unnecessary litigation, potentially misaligned with financial performance goals.

This study combines institutional and upper echelons theories to explore TMT legal expertise’s impact on firms’ adaptive strategies in emerging economies. It challenges the idea of a universally constraining legal environment and highlights how TMT legal expertise enhances firms’ management of complex legal risks. The research introduces TMT legal expertise as an influencing factor in strategic lawsuits, revealing nuanced relationships between legal contexts and strategic decisions. The findings enrich upper echelons theory, challenge conventional institutional views and identify moderating factors that deepen the understanding of upper echelons’ influence in legal landscapes.

The purpose of this paper is twofold: first, a case study on applying lean principles in manufacturing operations to redesign and optimize an electronic device assembly process and its impact on performance and second, introducing cardboard prototyping as a Kaizen tool offering a novel approach to testing and simulating improvement scenarios.

The study employs value stream mapping, root cause analysis, and brainstorming tools to identify root causes of poor performance, followed by deploying a Kaizen event to redesign and optimize an electronic device assembly process. Using physical models, bottlenecks and opportunities for improvement were identified by the Kaizen approach at the workstations and assembly lines, enabling the testing of various scenarios and ideas. Changes in lead times, throughput, work in process inventory and assembly performance were analyzed and documented.

Pre- and post-improvement measures are provided to demonstrate the impact of the Kaizen event on the performance of the assembly cell. The study reveals that implementing lean tools and techniques reduced costs and increased throughput by reducing assembly cycle times, manufacturing lead time, space utilization, labor overtime and work-in-process inventory requirements.

This paper adds a new dimension to applying the Kaizen methodology in manufacturing processes by introducing cardboard prototyping, which offers a novel way of testing and simulating different scenarios for improvement. The paper describes the process implementation in detail, including the techniques and data utilized to improve the process.

This paper aims to report the findings of a survey study exploring perceptions about cognitive impairment. These findings are relevant to public health campaigns and education programmes.

A survey exploring respondents’ views and knowledge about mild cognitive impairment (MCI) was circulated via UK networks. A total of 417 respondents completed the survey, including people living with cognitive impairment (n = 10), care partners (n = 23), older adults (n = 83), younger adults (n = 83), general health-care professionals (n = 96), dementia specialist health-care professionals (n = 48) and dementia specialists (n = 40).

Respondents were more confident in their knowledge about dementia than cognitive impairment but wanted more information about both conditions. Younger adults were uncertain about many aspects of MCI, and were the most likely to view MCI as a normal part of ageing. Diet (45.1%, n = 188) and personal behaviour (63.8%, n = 266) were the least endorsed possible causes of MCI, suggesting a lack of awareness of lifestyle choices as risk factors for MCI.

The results highlight the need to provide education and awareness raising about MCI to enable people to seek help in a timely manner and be able to make informed lifestyle choices that may reduce their risk of MCI and dementia. Implementing education about MCI and dementia in schools is a key target, as younger people were the most uncertain or misinformed about these topics. It is clear that further public health initiatives around MCI are both warranted and welcomed by the general public.

The paper is a proof of concept (PoC) intervention study aimed for developing performance management (PM) practices in manufacturing small and medium-sized enterprises (SMEs) with the longer-term aim enabling the SMEs to improve their productivity. The intervention was designed and deployed by a collaborative quartet of academics, management consultants, accountancy firm and a commercial bank manager.

The paper firstly musters a set of initialising PM practices aligned to productivity improvement. These are utilised to design a knowledge transfer intervention for deployment with a set of manufacturing SMEs incorporating some associated productivity tools. The evaluation of the intervention utilised a case study approach founded on a logic model of the intervention to assess the development of the PM practices.

The intervention contributed to a partial development of the mustered practices and the productivity diagnostic based on the multi-factor productivity (MFP) abstraction and a data extraction protocol had the strongest impact. The study revealed the importance of the three interlaced factors: Depth of engagement, feedback opportunities and the intervention gradient (the increase of independent action from the participating SME's and the diminishment of the external intervention effort).

The case study is based on a limited number of individual SME's, and within just the manufacturing sector.

SME businesses will require a more sustained programme of interventions than this pilot to develop PM capability, and depth of engagement within the SME is critical. Professional stakeholders can be utilised in recruitment of firms for intervention programmes. Business can start developing PM capability prior to PMS implementation using the tools from this programme.

The productivity diagnostic tool, based on a synthesis of MFP and the performance pyramid, an array of potential initialising practices for PM capability and discovery of potential mechanisms for PM practice development.

With increasing complexity of construction projects and new construction processes and methods are adopted, more safety hazards are emerging at construction sites, requiring the application of the modern risk management methods. As an emerging technology, digital twin has already made valuable contributions to safety risk management in many fields. Therefore, exploring the application of digital twin technology in construction safety risk management is of great significance. The purpose of this study is to explore the current research status and application potential of digital twin technology in construction safety risk management.

This study followed a four-stage literature processing approach as outlined in the systematic literature review procedure guidelines. It then combined the quantitative analysis tools and qualitative analysis methods to organize and summarize the current research status of digital twin technology in the field of construction safety risk management, analyze the application of digital twin technology in construction safety risk management and identify future research trends.

The research findings indicate that the application of digital twin technology in the field of construction safety risk management is still in its early stages. Based on the results of the literature analysis, this paper summarizes five aspects of digital twin technology's application in construction safety risk management: real-time monitoring and early warning, safety risk prediction and assessment, accident simulation and emergency response, safety risk management decision support and safety training and education. It also proposes future research trends based on the current research challenges.

This study provides valuable references for the extended application of digital twin technology and offers a new perspective and approach for modern construction safety risk management. It contributes to the enhancement of the theoretical framework for construction safety risk management and the improvement of on-site construction safety.