Enhance Workplace Safety Research Articles

Unions and workplace safety investment in Chinese private enterprises

AbstractThis paper examines the significant role of unions in workplace safety investment. Analyzing data from a national survey of Chinese private enterprises, we find that unionization has a positive effect on workplace safety investment. We test several mechanisms through which unionization may enhance workplace safety investment. Unionization increases investment in workplace safety by advocating for formal contracts between employees and firms. More importantly, unionization enhances workplace safety investment through the democratization of corporate governance structure. Furthermore, the employee representative assembly system, a fundamental mechanism for union participation in democratic management within Chinese firms, is also observed to augment safety investment.

Prevalence of Occupational Hazards among Dentists (Cross-Sectional Study)

Dentistry is widely recognized as a profession with significant occupational hazards. Dental staff are commonly exposed to various risks, including psychological stress, workplace, chemical agents, physical and biological hazards, and ergonomic challenges. This study aims to assess the prevalence of different occupational hazards among dentists. Subject & methods: A total of 449 pediatricians were randomly selected to participate in an online self-reported cross-sectional survey questionnaire designed to collect personal details and assess their exposure to different occupational hazards. Results: A significant proportion of participants reported experiencing stress (85.9%), followed by musculoskeletal disorders (85.6%) and percutaneous injuries (63.9%). Exposure to radiation hazards was noted by 51.3%, while 44.4% reported eye injuries, and 42.66% faced chemical hazards. Hearing impairment was the least reported hazard, affecting only 8.8% of the participants. Conclusions: Musculoskeletal disorders remain a major concern for dental professionals, yet research on their specific challenges is limited. Prioritizing professional education, updating curricula, and implementing ergonomic measures are essential. Future studies should address mental stress, occupational hearing loss, and chemical exposure to enhance workplace safety.

Validation of computer vision-based ergonomic risk assessment tools for real manufacturing environments

This study contributes to understanding semi-automated ergonomic risk assessments in industrial manufacturing environments, proposing a practical tool for enhancing worker safety and operational efficiency. In the Industry 5.0 era, the human-centric approach in manufacturing is crucial, especially considering the aging workforce and the dynamic nature of the entire modern industrial sector, today integrating digital technology, automation, and sustainable practices to enhance productivity and environmental responsibility. This approach aims to adapt work conditions to individual capabilities, addressing the high incidence of work-related musculoskeletal disorders (MSDs). The traditional, subjective methods of ergonomic assessment are inadequate for dynamic settings, highlighting the need for affordable, automatic tools for continuous monitoring of workers’ postures to evaluate ergonomic risks effectively during tasks. To enable this perspective, 2D RGB Motion Capture (MoCap) systems based on computer vision currently seem the technologies of choice, given their low intrusiveness, cost, and implementation effort. However, the reliability and applicability of these systems in the dynamic and varied manufacturing environment remain uncertain. This research benchmarks various literature proposed MoCap tools and examines the viability of MoCap systems for ergonomic risk assessments in Industry 5.0 by exploiting one of the benchmarked semi-automated, low-cost and non-intrusive 2D RGB MoCap system, capable of continuously monitoring and analysing workers’ postures. By conducting experiments across varied manufacturing environments, this research evaluates the system’s effectiveness in assessing ergonomic risks and its adaptability to different production lines. Results reveal that the accuracy of risk assessments varies by specific environmental conditions and workstation setups. Although these systems are not yet optimized for expert-level risk certification, they offer significant potential for enhancing workplace safety and efficiency by providing continuous posture monitoring. Future improvements could explore advanced computational techniques like machine learning to refine ergonomic assessments further.

Robotic assembly – mobile platform for construction field

Construction sites often involve the manual transportation of heavy objects, posing risks to workers’ safety and efficiency. In this paper, it was proposed a design, development, and evaluation of a service robot specifically created for carrying heavy objects in the construction field. The robot is equipped with robust locomotion capabilities, intelligent perception systems, and efficient control mechanisms to navigate through complex environments and handle various types of loads. It was presented the technical design of the robot, including its hardware components, sensing modalities, and software architecture. Furthermore, it was discussed the experimental validation of the robot’s performance in real-world construction scenarios, highlighting its effectiveness in improving productivity, reducing labor costs, and enhancing workplace safety. Through this research, the aim is to demonstrate the potential of service robots as valuable assets in the construction industry, paving the way for future advancements in robotic assistance technologies.

Harnessing the power of ChatGPT to promote Construction Hazard Prevention through Design (CHPtD)

PurposeConstruction Hazard Prevention through Design (CHPtD) is recognized as a pivotal strategy for enhancing workplace safety. Despite its theoretical potential, practical implementation faces challenges, particularly regarding designers' familiarity with field-level operations and hazard recognition. This study aims to investigate whether ChatGPT can address these challenges by assisting in hazard recognition during CHPtD sessions.Design/methodology/approachThe research utilized a randomized controlled experiment to assess ChatGPT as an intervention in supporting hazard recognition during CHPtD sessions. The study involves 162 civil and construction engineering student participants, representing future professionals. Participants engaged in hazard recognition during CHPtD sessions either with or without the assistance of ChatGPT.FindingsParticipants who utilized ChatGPT during CHPtD sessions demonstrated a significant improvement in hazard recognition, identifying approximately 40% more hazards compared to those who did not use ChatGPT. These findings underscore the efficacy of ChatGPT in supporting CHPtD efforts.Practical implicationsThe results highlight the practical utility of harnessing ChatGPT in CHPtD sessions to enhance hazard recognition and ultimately promote workplace safety. By leveraging ChatGPT, designers and engineers can better anticipate and mitigate potential hazards during the design phase, thus creating a safer working environment for field workers.Originality/valueThis research contributes to addressing the challenges associated with implementing CHPtD by introducing ChatGPT as a valuable tool to support hazard recognition. By demonstrating the effectiveness of ChatGPT in enhancing hazard identification during CHPtD sessions, this study offers a novel approach to promoting the adoption of CHPtD and advancing workplace safety initiatives.

Effects of passive shoulder-support exoskeleton entity and support force on user range of motion under external loads

This study investigates the effects of a passive shoulder-support exoskeleton entity and support force on the range of motion (ROM) of the shoulder and trunk. Twenty-six healthy participants underwent ROM assessments across three exoskeleton setting conditions (without the exoskeleton; wearing the exoskeleton but the support force deactivated; wearing the exoskeleton with the support force activated) and three external load conditions (0 kg, 3 kg, and 6 kg). Results show that while the exoskeleton entity constrained the shoulder ROM (vertical abduction/adduction, flexion/extension, and horizontal abduction/adduction) and trunk ROM (lateral flexion and rotation), the support force partially alleviated this constraint. External loads primarily restricted the mobility of the shoulder but not the trunk. Interaction effects revealed the complex interplay between external loads and exoskeleton settings on ROM and perceived difficulty, particularly in shoulder vertical abduction/adduction. This study underscores the necessity of considering exoskeleton entity, support force, and external loads in optimizing user joint mobility.The industrial exoskeleton represents a promising solution for enhancing workplace safety and productivity by mitigating work-related musculoskeletal disorders. This study assessed the impact of the exoskeleton's entity and support force on joint mobility across different load scenarios. Joint mobility is critical to perform industrial tasks that require high flexibility and agility.

Fault Detection in Industrial Equipment through Analysis of Time Series Stationarity

Predictive maintenance has gained importance due to industrialization. Harnessing advanced technologies like sensors and data analytics enables proactive interventions, preventing unplanned downtime, reducing costs, and enhancing workplace safety. They play a crucial role in optimizing industrial operations, ensuring the efficiency, reliability, and longevity of equipment, which have become increasingly vital in the context of industrialization. The analysis of time series’ stationarity is a powerful and agnostic approach to studying variations and trends that may indicate imminent failures in equipment, thus contributing to the effectiveness of predictive maintenance in industrial environments. The present paper explores the use of the Augmented Dickey–Fuller p-value temporal variation as a possible method for determining trends in sensor time series and thus anticipating possible failures of a wood chip pump in the paper industry.

A systematic review of computer vision-based personal protective equipment compliance in industry practice: advancements, challenges and future directions

Computerized compliance of Personal Protective Equipment (PPE) is an emerging topic in academic literature that aims to enhance workplace safety through the automation of compliance and prevention of PPE misuse (which currently relies on manual employee supervision and reporting). Although trends in the scientific literature indicate a high potential for solving the compliance problem by employing computer vision (CV) techniques, the practice has revealed a series of barriers that limit their wider applications. This article aims to contribute to the advancement of CV-based PPE compliance by providing a comparative review of high-level approaches, algorithms, datasets, and technologies used in the literature. The systematic review highlights industry-specific challenges, environmental variations, and computational costs related to the real-time management of PPE compliance. The issues of employee identification and identity management are also discussed, along with ethical and cybersecurity concerns. Through the concept of CV-based PPE Compliance 4.0, which encapsulates PPE, human, and company spatio-temporal variabilities, this study provides guidelines for future research directions for addressing the identified barriers. The further advancements and adoption of CV-based solutions for PPE compliance will require simultaneously addressing human identification, pose estimation, object recognition and tracking, necessitating the development of corresponding public datasets.

Board Gender Diversity and Workplace Safety: Evidence From Quasi‐Natural Experiments

ABSTRACTResearch Questions/IssueThis paper examines the impact of board gender diversity on workplace safety in an international setting from 2002 to 2019. Utilizing gender quotas on corporate boards as a quasi‐natural experiment, we explore the causal effects of gender diversity on workplace safety, highlighting the significant influence of corporate board gender quotas on corporate policies.Research Findings/ResultsUsing a sample of 13,124 firm‐year observations from 48 countries, our findings reveal that gender quotas on corporate boards are linked to higher rates of work‐related injuries. The association is particularly strong in financially constrained firms, as well as in those with high workloads and low investments in workplace safety. In contrast, this effect is mitigated in firms located in countries with strong institutional frameworks and high union representation. The results hold across various regression specifications and remain robust when considering different measures of workplace injuries, board gender diversity, and additional control variables.Theoretical ImplicationsOur study draws on gender behavior theory, social role theory, and gender socialization theory, with findings particularly aligning with gender behavior theory. It advances understanding of how changes in corporate governance structures related to board diversity influence workplace safety. This research underscores the importance of further empirical work to expand this area of study, suggesting valuable directions for future research through cross‐sectional and longitudinal analyses.Practical ImplicationsThe findings provide critical insights for policymakers considering the implementation of gender quotas in boardrooms. Additionally, this research highlights the need for further exploration of unexamined aspects within governance studies, which will significantly influence future policy debates, legislative processes, and corporate practices in promoting gender diversity and enhancing workplace safety.

Prediction of accident-proneness among a sample of Iranian workers: usefulness of an adjusted version of the Health Belief Model with spiritual health

BackgroundWorkforce health is one of the primary and challenging issues, especially in industrialized countries. The purpose of the present study was to evaluate the ability to predict accident-proneness among Saveh Industry workers in Iran, based on an extended Health Belief Model, that included the construct of spiritual health.MethodThis descriptive-analytical study was conducted in 2022 on 384 workers in Saveh, Iran. The study aimed to explore relationships between accident proneness behavior, spiritual health, and health beliefs. The accident-proneness questionnaire consisted of two parts: the first part included demographic questions, and the second part comprised 9 sections covering personality traits, workplace harmful factors, miscellaneous factors, musculoskeletal disorders, safety culture, safety attitudes, job stress, organization interest, and degree of risk-taking. The Health Belief Model included 31 questions, while spiritual health was measured with the 20-question Paloutzian and Ellison questionnaire. The collected data were analyzed using SPSS version 26 software.ResultsIn terms of accident proneness, 229 (59.6%), exhibited high levels, 148 (38.5%) had medium levels, and 7 (1.8%) showed low levels of accident-proneness. Hierarchical multiple regression analysis showed that in the first model, variables of perceived self-efficacy, vulnerability, and severity independently predicted workers accident proneness, explaining a total of 43% of variance in accident proneness behavior. In the second step, perceived self-efficacy (β = 34%), perceived sensitivity (β = 27%), spiritual health (β = 16%), and perceived severity (β = 12%) were included, respectively, which explained a total of 46% of the variance of accident-prone behavior of workers.ConclusionGiven the high rate of accident proneness observed in this study, there is a critical need for policymakers and health planners to design policies aimed at mitigating the risks associated with occupational accidents. Furthermore, the findings highlight the potential of integrating spiritual health into the Health Belief Model, as a conceptual framework for planning effective intervention programs to enhance workplace safety.

Evaluation of Personal Protective Equipment Usage Among Construction Workers in Erbil City, Iraq.

Background and aim The construction industry is a high-risk environment where the use of personal protective equipment (PPE) is essential for worker safety. Despite the clear benefits of PPE, compliance rates among construction workers are often suboptimal. In response to these concerns, this study aimed to assess the knowledge and attitudes regarding PPE usage among construction workers in Erbil City, Iraq. Methods This cross-sectional study was conducted from December 15, 2022, to June 15, 2023, among construction workers in Erbil. Convenience sampling was used to collect data through a self-structured questionnaire. The questionnaire collected demographic information, as well as responses to a 15-item Knowledge Questionnaire and an 8-item Attitude Questionnaire. Statistical analysis was performed using IBM SPSS Statistics for Windows, Version 28 (Released 2021; IBM Corp., Armonk, New York). Frequency and percentage were used to describe qualitative variables, while mean and standard deviation were calculated for quantitative variables. Parametric tests such as the independent sample t-test and ANOVA were used, along with multinomial logistic regression, to assess the relationships between knowledge, attitude, and various demographic factors. Results A total of 280 workers participated in the study. The mean knowledge score was 13.56 ± 1.17, indicating a good level of knowledge, while the mean attitude score was 6.86 ± 1.11, reflecting a fair attitude towardPPE usage. A significant majority of the participants, 97.9% (274), were categorized as having good knowledge, while 68.2% (191) exhibited a fair attitude towards PPE usage. The analysis showed that demographic factors such as age, marital status, working hours, work experience, and employment type did not significantly affect knowledge or attitude, with all odds ratios (ORs) near 1 and P-values above 0.05. Conclusion The findings indicate that construction workers in Erbil generally have good knowledge but only a fair attitude toward PPE usage. These results suggest that healthcare providers and policymakers should implement targeted educational interventions to improve workers' attitudes towardPPE, aiming to boost compliance and enhance workplace safety. Additionally, these interventions should address practical barriers to PPE usage, such as discomfort or lack of accessibility. By fostering more positive attitudes and ensuring the availability of necessary resources, overall safety in the construction industry can be significantly improved.

Clinical patterns and outcomes of hospitalized patients with grinder-related neurovascular injuries: A decade of experience from a Level I Trauma center

BackgroundOccupational injuries impose a substantial global burden, affecting millions of workers annually, which demands urgent attention to enhance workplace safety and health standards. We aimed to outline the frequency, patterns of injury, and clinical characteristics of patients injured by high-rotation cutting tools (grinders) and to pinpoint the neurovascular (nerves and blood vessels) injuries. MethodsA retrospective study was conducted and included all adult patients hospitalized because of grinder-related injuries at the only level I Trauma Center in the country. The characteristics of patients, mechanism of injury, management and outcomes were analyzed based on the anatomical location of injuries. Results127 patients were hospitalized with grinder-related injuries over ten years. The incidence of GRIs showed an increasing trend over the years. All patients were males with a mean (SD) age of 34.9 (9.8) years. The majority were general laborers (66.1 %), injured by portable grinders (86.6 %), and direct blade contact (64.6 %). The median Injury Severity Score (ISS) was 5.0(IQR 4.0–9.0), and the median Glasgow Coma Scale (GCS) at ED was 15 (3–15). The most frequently injured part was the upper extremity (36.2 %), followed by the lower extremity (33.9 %) and the face (27.6 %). One-third of cases had vascular injuries, and 23.6 % had nerve injuries. Suturing was done for all patients; repairs and debridements were performed in 62 % and 58 % of cases, respectively, and 21 % required vascular surgery. Amputations were required in 9.4 % of cases. Thirty patients had nerve injuries involving the median (11 %) and radial (9.4 %) nerves. Among patients who had neurovascular injuries, 30 % (12/40) experienced complications during the hospital stay, while 60 % (24/40) ended up with physical disabilities. ConclusionIndividuals affected by power-tool accidents were predominantly young males, mainly general laborers, with a significant proportion being expatriates. The trend of grinder-related injuries increases over time, with portable grinders being a primary source of injuries due to direct contact with the blade. The anatomical injuries mainly include fractures of the upper and lower extremities. Further studies are warranted to understand the cultural aspects and training requirements of workers handling power tools, aiming to achieve sustainable injury prevention effectively.

Ergonomic Risk Assessment and Mitigation Strategies for Retail Workers: Insights from a Case Study in Dungun

Manual handling activities contribute to 40% of musculoskeletal disorders (MSDs), leading to long-term discomfort, disability, medical costs, and financial hardships for workers, while employers face lower productivity and compensation costs. An ergonomic assessment was conducted among employees at ABC Hardware in Dungun to identify ergonomic risk factors, determine the likelihood of harm affecting workers' musculoskeletal health, and recommend control measures to improve workers' health and well-being. Utilizing a combination of interviews, observations, and questionnaires based on established ergonomics guidelines, the research highlights the prevalence of MSDs among workers engaged in manual handling tasks, emphasizing the need for ergonomic interventions and awareness to enhance workplace safety and employee well-being. Findings from the ergonomic assessment revealed significant discomfort and risk factors related to awkward postures, repetitive motions, forceful exertion, and static positions. Specific ergonomic issues identified include discomfort in the upper back, thighs, and knees among storekeepers, and neck and lower back pain among warehouse workers. Service desk representatives were found to experience discomfort related to static postures and repetitive motions. The study recommends advanced ergonomic assessments such as Rapid Entire Body Assessment (REBA), Occupational Repetitive Assessment (OCRA), and Rapid Upper Limb Assessment (RULA), along with improvements in ergonomic practices and tools. Implementing job rotation, providing ergonomic equipment, and conducting training on proper lifting techniques are essential to address the identified risks. This research highlights the critical role of ergonomic practices in preventing MSDs and improving overall workplace safety.

Reduction of sound levels in the intermediate care unit; a quasi-experimental time-series design study

ObjectivesThis study aimed to assess the effectiveness of an architectural redesign and a multicomponent intervention bundle on noise reduction to enhance workplace safety. Methods/DesignQuasi-experimental study with a time-series and intensified intervention design conducted in an intermediate care unit. Two interventions were sequential introduced: the installation of a partition wall in the medication preparation room (architectural redesign) and the implementation of an a bundle. Effects on outcomes were evaluated comparing baseline, after architectural redesign (period-1) and after implementation of the bundle (period-2). SettingIntermediate care unit. Main Outcome MeasuresA-weighted sound levels (LAeq), alarms/day/bed, annoyance ratings (numeric rating scale 0–10) and number of distractions of nurses during the medication preparation process. ResultsLAeq baseline vs period-1, decreased in the medication preparation area from 56.8 (±5.0) to 53.7 (±7.2) dBA (p < 0.001) and in the nursing station from 56.8 (±5.0) to 54.3 (±4.0) dBA (p < 0.001). During period-2, further noise reduction was minimal to absent. Distractions decreased from 58 % during baseline to 45 % (p < 0.001) during period-1, with no further reduction during period-2.The median [IQR] number of alarms/day/bed increased from 263 [IQR 193–320] during baseline to 394 [IQR 258–474] during period-1 (p < 0.001), then decreased to 303 [IQR 264–370] (p < 0.05) during period-2. Median annoyance ratings decreased from baseline 3.0 [IQR 2.0–6.0] to 2.0 [IQR 1.0–3.0] (p < 0.001) during period-2. ConclusionAn architectural redesign resulted in a significant, clinically relevant decrease in sound levels along with a notable reduction in distractions. The multicomponent bundle lowered alarms and annoyance ratings; however, its effectiveness on other outcomes seems less persuasive. Implications for Clinical PracticeArchitectural redesign seems to be effective in controlling environmental noise.Architectural redesign results in a decrease in nurses’ distractions during the medication preparation process.The effect of an intervention bundle is, despite a positive effect on alarms and perceived annoyance, still insufficiently clear.

AI Integration and Economic Divides: Analyzing Global AI Strategies

Abstract This study investigates the impact of socio-economic factors on national AI strategies in India, Bangladesh, Germany, UAE, Egypt, and the USA through quantitative content analysis. The analysis explores the correlation between GDP per capita, the share of manufacturing, and the frequency of risk-related terms in AI strategy documents. It is found that wealthier nations emphasize AI risks more, correlating with deeper technological integration into their societal structures. Conversely, the emphasis on AI risks shows a weak correlation with the share of manufacturing, indicating broader AI impacts in service-oriented sectors. Lower-middle-income countries appear more optimistic, focusing on AI's economic benefits. The study underscores the need for balanced AI strategies that promote innovation while ensuring worker well-being, advocating for adaptive governance frameworks that enhance workplace safety and efficiency.

Evaluating the Effectiveness of Game-Based Learning for Long-Term Knowledge Retention

This longitudinal study investigated the efficacy of game-based learning in enhancing the retention of safety knowledge, specifically within the domain of construction safety. The research focused on assessing participants’ retention of safety knowledge 1 year after game-based training, revealing a resilient performance despite a perceived decline in preparedness. Analysis of the data indicated no statistically significant variance in participants’ performance in hazard identification tests conducted 1 year after the initial assessment following game-based training. The study also explored the relationship between perceived preparation, actual performance, and the temporal gap between evaluations, highlighting the necessity for a comprehensive understanding of these dynamics in educational settings. The implications of this research extend beyond construction safety, underscoring the transformative potential of game-based learning in cultivating enduring safety awareness across various industries. By harnessing innovative educational technologies, organizations can enhance workplace safety protocols and mitigate occupational hazards.

Healthcare workers' safety compliance behavior in times of COVID-19: The interaction model.

Strengthening safety compliance behaviour can reduce the organizations' unexpected financial losses and prevent employees from continuous COVID-19. It drives this study to create a research framework involved by organizational, individual and social factors to predict employees' safety compliance behaviour. This study examines how risk perceptions of COVID-19, employee well-being, workplace health and safety training, safety motivation and safety related stigma impact safety compliance behavior in times COVID-19 pandemic. A self-administered questionnaire was disseminated to healthcare workers. In all, 344 acceptable questionnaires were derived for further analysis. The results revealed that the risk perception of COVID-19 and employee well-being has no significant relationship with safety compliance behavior. Similarly, safety related stigma also has no moderating effect on safety motivation and safety compliance behavior. However, workplace health and safety training and safety motivation have significant relationships with safety compliance behavior. This study contributes to the literature by illuminating on the importance of organizational, individual, social factors and how they can interact with safety compliance behaviour. Additionally, knowing the unique function of safety related stigma in building safety compliance behaviour may help guide future efforts and training initiatives to enhance workplace safety.

From debt breaches to employee safety: The hidden power of banking interventions

This study investigates the influence of bank interventions following breaches of debt covenants on workplace safety. Using a regression discontinuity design, we find robust evidence indicating a substantial decrease in employee injuries after covenant violations. Our channel analysis reveals that the impact of bank interventions is more pronounced when banks perform well in ESG-related employee relationships and take on less risk. Furthermore, the influence of bank interventions is stronger when banks have considerable control over firms and when employees have strong bargaining power. Our findings demonstrate that creditors play an active role in enhancing workplace safety, leading to improved employee welfare. The implications of our research highlight the potential for financial institutions to contribute to socially responsible practices and promote sustainable and safe working environments.

Design of Mask Detection Application Using Tensorflow Lite based on Android Mobile

A mask is a type of personal protective equipment (PPE) that is essential for protecting the nose and mouth from contamination by droplets or airborne particles. The use of masks became highly popular during the Covid-19 pandemic, which began in December 2019 in China and peaked in Indonesia in 2020. Despite the pandemic subsiding and vaccinations increasing immunity, some companies still require masks to prevent the spread of illnesses such as colds and flu, especially in work processes that produce smoke, such as soldering and welding. To ensure employees comply with mask usage, effective supervision is necessary. Manual supervision is less efficient, thus a digital detection method is needed. This study developed a mask detection application using deep learning algorithms and the TensorFlow Lite framework on an Android platform. The application can detect mask usage with 100% accuracy at a distance of 1 to 5 meters. The system was tested under various lighting conditions and environments to ensure reliability. Additionally, the implementation of this technology can be extended to other public areas to ensure compliance with health protocols. This tool helps companies easily monitor and enforce mask-wearing discipline among employees, thereby enhancing workplace safety and health. Future work could explore the integration of this system with other health monitoring tools to create a comprehensive safety solution.

Museum Professionals’ Perceptions of Chemical and Biological Hazards and Risks in Museum Work Environments in Finland

Limited research has explored museum professionals’ perceptions of workplace hazards and risks, despite the presence of various health threats in museum work environments. This study aims to identify perceived chemical and biological hazards and contributing factors in Finnish museum workplaces. Utilizing data from two surveys and qualitative content analysis, it uncovers a range of perceived hazards, often linked to collection storage facilities, historical buildings, and museum collections. Mold, indoor air quality, and dust are central concerns. While recognizing chemical hazards in collections proves challenging, accident-related and ergonomic hazards receive broad recognition. Workplace hazards are perceived to be rooted in systemic and cultural factors, encompassing haphazard management, recurring themes of neglect, limited safety knowledge, and negative attitudes. Enhancing workplace safety in museums necessitates a comprehensive approach, including support and education for leaders and other professionals, improved work practices and storage facilities, and increased budgetary support.