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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.

Effective teamwork is crucial for patient safety in healthcare. The TeamSTEPPS Teamwork Perceptions Questionnaire (T-TPQ) is a widely used tool for assessing teamwork perceptions. The T-TPQ has been adapted and validated for hospital setting use in several countries. This study aimed to translate and validate the T-TPQ into French for use among Tunisian healthcare professionals, enhancing teamwork assessment and patient safety initiatives.

A rigorous process ensured cultural and linguistic adaptation of the T-TPQ, including back-translation, expert panel review, and pilot testing. 459 healthcare professionals from four hospitals in Kairouan, Tunisia participated. Confirmatory factor analysis (CFA) compared the original five-factor structure with a revised structure based on exploratory factor analysis (EFA).

Both CFA models demonstrated good fit, with no significant difference between them (∆χ² = 22.51, p = 0.79). The original five-factor structure was retained due to its established theoretical foundation. The French T-TPQ exhibited strong internal consistency (α = 0.9). Two-way Random ICCs indicated fair to good test-retest reliability for all the five dimensions (0.633–0.848).

Several limitations should be acknowledged. The use of a questionnaire as a data collection tool is the source of a reporting bias, for fear of being identified or for reasons of “social desirability”. Nevertheless, this social desirability was minimal, as Baker et al. (2010) took steps to mitigate this during the instrument's development. Additionally, for assessing attitudes and perceptions, self-reported measures are deemed more effective, whereas objective measures are advocated for behavioral assessments. Furthermore, the participants were informed of the absence of good or bad answers, the importance of answering as closely as possible, and the confidentiality. Moreover, considering the data collection period, the COVID- 19 pandemic and its potential impact on recruitment, data collection, and participant responses. Although the sample size of 459 met the recommended criteria for conducting confirmatory factor analysis, as suggested by Bentler and Chou (1987) and (Floyd and Widaman, 1995), the COVID-19 pandemic presented challenges in recruitment. The increased workload and stress on healthcare professionals, coupled with staff redeployment and research restrictions within hospitals and care units, likely hindered achieving an even larger sample size. These circumstances also necessitated adjustments to data collection methods to ensure safety and adherence to pandemic protocols. This involved incorporating online surveys option with paper-based questionnaires and implementing stricter hygiene measures during in person data collection. Furthermore, the pandemic impacted the teamwork perceptions as significantly redefined the healthcare environment, placing immense pressure on professionals due to surging patient volumes, staff shortages, and the emotional burden of caring for critically ill individuals. This heightened stress and workload likely influenced teamwork dynamics, potentially fostering both positive adaptations, such as increased cohesion and support, as well as negative consequences like communication breakdowns and decreased morale (Terregino et al., 2023).

We outline significant practical implications for leaders in health care for improving teamwork and patient safety. Or, healthcare leaders can significantly enhance teamwork and patient safety by incorporating the validated French T-TPQ into their improvement strategies. This reliable tool enables the assessment of staff perceptions regarding teamwork strengths and weaknesses, specifically in areas like communication and leadership. By identifying these crucial areas, leaders can implement targeted training programs and interventions. In fact, the existing body of research consistently demonstrates the positive impact of team training interventions, on both teamwork processes and patient outcomes. These interventions have been shown to enhance teamwork skills (Baker et al., 2010; Thomas and Galla, 2013; Weaver et al., 2014). In areas such as communication, leadership, situation monitoring, and mutual support, leading to decreased mortality and morbidity rates (Weaver et al., 2014). Implementing team training programs fosters trust and collaboration around shared goals, contributing to a more effective and safer healthcare environment for both patients and professionals. Additionally, the culturally adapted T-TPQ not only benefits individual healthcare settings but also unlocks opportunities for broader research and collaboration on a global scale. By enabling cross-cultural comparisons and benchmarking, the T-TPQ can deepen our understanding of how teamwork dynamics vary across diverse healthcare environments and cultural contexts. This knowledge is invaluable for tailoring teamwork interventions and training programs to specific populations and settings, ensuring their effectiveness and cultural relevance. Moreover, integrating teamwork training into continuing professional development, interprofessional and medical education initiatives is crucial for cultivating collaborative competencies and building high-performing healthcare teams. Research has shown that interprofessional teamwork experiences significantly enhance collaborative competencies among nursing and medical students, emphasizing the importance of incorporating teamwork training early in healthcare education. This approach equips future healthcare professionals with the necessary skills to navigate complex team environments, ultimately improving patient care quality and mitigating workload issues that contribute to burnout (Simin et al., 2010; Ceylan, 2017; Fox et al., 2018).

The French version of the T-TPQ was semantically equivalent and culturally relevant with adequate test-retest reliability as compared to the English version, expanding its applicability and contributing to understanding teamwork perceptions in this context. The French T-TPQ offers a valuable tool for assessing teamwork, identifying areas for improvement, and implementing interventions to enhance teamwork and patient safety in Tunisia and potentially other French-speaking regions.

Metro stations have become a crucial aspect of urban rail transportation, integrating facilities, equipment and pedestrians. Impractical physical layout designs and pedestrian psychology impact the effectiveness of an evacuation during a metro fire. Prior research on emergency evacuation has overlooked the complexity of metro stations and failed to adequately consider the physical heterogeneity of stations and pedestrian psychology. Therefore, this study aims to develop a comprehensive evacuation optimization strategy for metro stations by applying the concept of design for safety (DFS) to an emergency evacuation. This approach offers novel insights into the management of complex systems in metro stations during emergencies.

Physical and social factors affecting evacuations are identified. Moreover, the social force model (SFM) is modified by combining the fire dynamics model (FDM) and considering pedestrians' impatience and panic psychology. Based on the Nanjing South Metro Station, a multiagent-based simulation (MABS) model is developed. Finally, based on DFS, optimization strategies for metro stations are suggested.

The most effective evacuation occurs when the width of the stairs is 3 meters and the transfer corridor is 14 meters. Additionally, a luggage disposal area should be set up. The exit strategy of the fewest evacuees is better than the nearest-exit strategy, and the staff in the metro station should guide pedestrians correctly.

Previous studies rarely consider metro stations as sociotechnical systems or apply DFS to proactively reduce evacuation risks. This study provides a new perspective on the evacuation framework of metro stations, which can guide the designers and managers of metro stations.

The purpose of this study is to revisit the measures of internal consistency for multi-item scales in hospitality research and compare the performance of Cronbach’s α, omega total (ω_Total), omega hierarchical (ω_H), Revelle’s omega total (ω_RT), Minimum Rank Factor Analysis (GLB_fa) and GLB algebraic (GLB_a).

A Monte Carlo simulation was conducted to compare the performance of the six reliability estimators under different conditions common in hospitality research. Second, this study analyzed a data set to complement the simulation study.

Overall, ω_Total was the best-performing estimator across all conditions, whereas ω_H performed the poorest. α performed well when factor loadings were high with low variability (high/low) and large sample sizes. Similarly, ω_RT, GLB_fa and GLB_a performed consistently well when loadings were high and less variable as well as the sample size and the number of scale items increased. Of the two GLB estimators, GLB_a consistently outperformed GLB_fa.

This study provides hospitality managers with a better understanding of what reliability is and the various reliability estimators. Using reliable instruments ensures that organizations draw accurate conclusions that help them move closer to realizing their visions.

Though popular in other fields, reliability discussions have not yet received substantial attention in hospitality. This study raises these discussions in the context of hospitality research to promote better practices for assessing the reliability of scales used within the hospitality domain.

The dynamic environment has necessitated searching for new ways for managing and grooming people for better performance. The purpose of this study is to explore ambidexterity in human resource management (HRM) for better management of paradoxical tensions and its effect on employee performance. Further, this research also addresses the black box in this relationship by evaluating the extraneous (managers’ ambidextrous orientation) and mediating (individual ambidexterity) variables in this relationship.

A quantitative research methodology has been used to explore the ambidexterity in HRM and its impact on employee performance. Around 470 banks have been contacted for data collection. The data have been thoroughly examined for reliability and validity. Further, it has also been checked for common method variance.

The findings revealed that individual ambidexterity mediates the relationship between ambidextrous HRM and employee performance. Further, managers’ ambidextrous orientation moderates the relationship between ambidextrous HRM and individual ambidexterity.

The present study makes an important contribution to the strategic HRM literature in general. The theoretical and practical implications have also been put forth for academic and practical fields. Lastly, the study contributes towards ambidexterity literature by examining it from an HRM perspective.

Innovation is critical for businesses to stay competitive in today's world, as it allows them to constantly look for new ways to differentiate their products or services from their competitors as well as improve cost-effectiveness. This study explore the role of strategic human resource practices in developing organizations' competitive capabilities-differentiation and cost-effectiveness, which, improves their innovation performance to create a competitive advantage.

The authors collected data from 387 employees from 25 knowledge-intensive information technology organizations in India through a questionnaire-based survey. After checking for biases, reliability and validity, the hypothesized relationships were tested by structural equational modeling using AMOS 26.

Strategic HR practices have a significant and positive effect on innovation performance and both competitive capabilities-differentiation and cost-effectiveness. While the differentiation capability had a strong positive effect on innovation performance, cost-effectiveness capability was not significantly related to innovation performance. The differentiation capability mediates the relationship between strategic HR practices and innovation performance link, whereas the cost-effectiveness capability did not have a mediating effect.

This study provides practical insights to HR and knowledge managers to focus on development of human capital and invest in hiring, training, development, strategic performance management practices to enhance employees' knowledge behaviors, which, stimulates innovation performance.

The paper adds to the strategic HRM paradigm by clarifying the underlying process of how strategic HR practices leads to higher innovation. It affirms the vitality of choosing appropriate competitive capabilities, and supporting organizational factor for business's success. It fills an important research gap by providing original empirical evidence from knowledge intensive information technology organizations in the emerging economy of India.

The study aimed to test the validity and reliability of the Polish version of the identity leadership inventory (ILI) proposed by Steffens, Haslam, Reicher et al. (2014) and to confirm the relationship between identity leadership and various job-related outcomes (i.e., trust in leaders, job satisfaction, work engagement and turnover intentions) among employees from Poland-based organizations. Identity leadership appears to be a universal construct (van Dick, Ciampa, & Liang, 2018) but no one has studied it in Poland so far.

The sample consisted of 1078 employees collected in two independent subsamples from different organizations located in Northern and Central Poland. We evaluated the ILI’s factorial structure using confirmatory factor analysis.

The results confirm that the 15-item Polish version of the ILI has a four-dimensional structure with factors representing prototypicality, advancement, entrepreneurship and impresarioship. It showed satisfactory reliability. The identity leadership inventory-short form (four items) also showed a good fit with the data. As expected, the relationships between identity leadership and important work-related outcomes (general level of job satisfaction, work engagement, trust toward the leader and turnover intentions) were also significant.

Despite the cultural specifics of Polish organizations, the research results were generally very similar to those in other countries, confirming the universality of the ILI as shown in the Global Identity Leadership Development project (GILD, see van Dick, Ciampa, & Liang, 2018; van Dick et al., 2021).

The purpose of this study is to investigate how social capital resources (SCRs), proactive personality and perceived organizational support (POS) influence work engagement during the organizational socialization process through the lens of self-determination theory (SDT).

Drawing upon a sample of newly hired employees from diverse industries, data was collected using self-report measures. A total of 619 respondents’ data were qualified for analysis. Regression analysis and structural equation modeling with the bootstrap method were used for hypothesis testing.

Results indicate that newcomers who used effective organizational socialization tactics (OSTs) experienced higher levels of work engagement. Moreover, SCRs were crucial in shaping the relationship between OSTs and work engagement. Specifically, newcomers with greater SCRs exhibited increased work engagement, enhancing effective OSTs’ positive impact. Furthermore, proactive personality and POS traits moderate the relationship between SCRs and work engagement. Newcomers with a proactive personality were more likely to leverage their SCRs, leading to higher work engagement effectively.

This study underscores the importance of promoting social connections, organizational support, proactivity and positive relationships to enhance employee work engagement and overall well-being in the Pakistani context.

This study examines how SCRs, proactive personality and POS influence work engagement during organizational socialization, a novel area in newcomer adjustment. It highlights the importance of strategic socialization and targeted onboarding programs that enhance SCRs and proactive personalities. By integrating SDT with the cultural context of Pakistani organizations, it offers unique insights for improving newcomer adjustment and engagement.

This study aims to investigate the contribution of blockchain technology to supply chain risk management and its impact on performance among Indian manufacturing companies.

Drawing on a resource-based view, dynamic capability and system of systems theory, this study examines the direct relationships between blockchain, supply chain risk management and supply chain performance. The authors validate the mediating effects of three supply chain risk management components, namely supply risk management, demand risk management and cyber security management, on financial transaction reliability and information reliability. Data were collected from 204 Indian manufacturing companies that have adopted blockchain technology.

The results demonstrate that companies adopting blockchain technology have experienced positive outcomes in managing supply chain-related risks, financial transaction reliability and information reliability. These findings provide valuable guidance to managers, highlighting blockchain as a competitive advantage for supply chain management.

To the best of the authors’ knowledge, no previous research on blockchain-based risk management capabilities has been conducted.