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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.

This study investigated the interplay between business process management (BPM) and digitalization in organizations and developed principles for designing their interaction.

This study was explorative and used a questionnaire-based survey that involved experts in BPM and digitalization who were actively engaged in these two domains in their organizations to come up with the design principles. The survey and the design principles were based on Rosemann and vom Brocke's (2010) six core elements of BPM.

Digitalization was seen as influencing how BPM is practiced in organizations by strengthening organizations’ focus on BPM, and conversely, BPM was perceived as beneficial for digitalization and digitalization outcomes. In addition, based on Rosemann and vom Brocke’s six core elements of BPM, we proposed six principles for designing the interplay of BPM and digitalization in organizations.

Our empirical investigation was situated in a Norwegian context and included 104 respondents. While we have no reason to believe that our findings should not be valid and useful in other regions, this is a limitation in generalizing our findings, and a natural follow-up would be to investigate our research questions in other geographical areas. We are also aware of the potential response bias in our sample. Moreover, to outline the principles for designing the interactions of BPM and digitalization, we applied the six core elements of BPM by Rosemann and vom Brocke (2010) as our theoretical lens. We acknowledge that there are more issues related to the interplay of BPM and digitalization than we have dealt with in this study.

This study has several implications for organizations. First, managers may use our proposed design principles to decide how to integrate BPM and digitalization. Second, although this study showed that each discipline nurtures its own culture, building an organizational culture that combines values from each discipline can enable a process-oriented organization to innovate its operations and services with digital technology. Third, managers should align the responsibilities and tasks of process owners with the demands for the digitalization of business processes. Fourth, managers, when integrating BPM and digitalization, should take care not to impede the generative attributes of each discipline.

Processes and digital technologies play important roles in society at all levels. BPM seeks to understand how processes unfold and explores how new practices may better serve individuals, organizations and society (vom Brocke et al., 2021), while digitalization is concerned with how various kinds of modern digital technologies may trigger organizational and social changes (Markus and Rowe, 2023; Suri and Jack, 2016).

This study is one of the first studies to investigate the interplay between BPM and digitalization – how digitalization affects BPM practices in organizations and how BPM influences digitalization outcomes. In addition, this study offers novel principles for designing the interaction between BPM and digitalization.

Despite the considerable hype about how Big Data Analytics (BDA) can transform businesses and advance their capabilities, recognising its strategic value through successful adoption is yet to be appreciated. The purpose of this paper is to focus on the process-level value-chain realisation of BDA adoption between SMEs and large organisations.

Resource-based theory offered the lens for developing a conceptual BDA process-level value chain adoption model. A combined two-staged regression-artificial neural network approach has been utilised for 369 small, medium (SMEs) and large organisations to verify their critical value chain process-level drivers for successful organisational adoption of BDA.

The findings revealed that organisational BDA adoption success is driven predominantly by product—and service-process-level value, with distinctive discrepancies dependent on the organisation’s size. Large organisations primarily embrace BDA for their external value chain dimensions, while SMEs encompass its internal value chain cues. As such, businesses will be advised to acknowledge their organisational dynamics and precise size to develop the right strategies to adopt BDA successfully.

The study advances the understanding of the role of internal and external value chain drivers in influencing how BDA can be successfully adopted in SMEs and large organisations. Thus, appreciating the organisation’s unique attributes, including its size, will need to be carefully examined. By investigating these elements, this research has shed new light on how developing such innovative capabilities and competencies must be carefully crafted to help create a sustainable competitive advantage.

For an organisational positioning, acknowledging the role of internal and external value chain drivers is critical for implementing the right strategies for adopting BDA. For larger businesses, resources for innovation often can be widely available compared to SMEs. As such, they can manage their costs and associated risks resourcefully. By considering the identified value-chain-related adoption success factors, businesses should be better positioned to assess their competencies while being prepared to adopt BDA.

The study offers the research and business community empirical-based insights into the strategies needed to successfully adopt big data in an organisation from a process-level value chain perspective.

The purpose of this study is to add to the currently limited research on individual level people analytics (PA) adoption by focusing on a vital resource in the implementation of PA, namely the technology used for PA. We draw on the unified theory of acceptance and use of technology (UTAUT) to examine antecedents of the use of technology for PA.

This study uses latent profile analysis to examine how different antecedents of PA (technology) adoption jointly act among 279 users of a specific PA technology.

This study identifies four user profiles, that we labeled the skeptic diplomats, the optimistic strugglers, the optimists, and the enthusiasts. These profiles relate to differences in user satisfaction and the frequency and versatility of PA technology use. This study demonstrates that performance benefits, social influence, required effort, and facilitating conditions jointly affect the use of PA technology, but that the latter two might be the most influential factors.

This study offers recommendations to practitioners and organizations on which actions by managers and the organization can be taken to support the use of PA technology.

Compared to previous research, we take a different approach by applying latent profile analysis to examine the combined effect of antecedents on user behavior and user satisfaction. In addition to a different analytical approach, we also extend existing research on individual PA adoption by focusing on actual behaviors and behavioral intention.

The construction industry is facing an enormous number of challenges due to continuous advancements in construction technologies and techniques. Hence, construction management theories have to confront critical newly issues concerning market globalization and construction innovations. The key factor to address these challenges is to ameliorate the competitive abilities of the competing construction firms. In this context, measuring competitiveness of construction firms is an efficacious approach to amplify their competitive growth and profitability. To this end, the purpose of this research paper is to design a three-tier multi-criteria decision making model for competitiveness assessment and benchmarking of construction companies, meanwhile tackling a wide range of essential factors and attributes that covers broad aspects of the present competitive market.

In the first tier, four new pillars (4P) of competitiveness assessment are introduced for construction firms, namely, organization performance, project performance, environment and client and innovation and development. These pillars are able to aid in construction firms’ management on both long and short term basis. Hence, 21 key competitive factors and eighty key competitive criteria are identified, incorporated and analyzed in this research study. The second tier encapsulates carrying out a questionnaire survey in the Canadian and Vietnamese market to garner two main sets of information. The first set of information incorporates responses of the pairwise comparisons between competitiveness factors and criteria. The second set involves gathering utility scores pertinent to each competitiveness criteria. The developed model then leverages the use of analytical hierarchy process to scrutinize the relative importance priorities of competitiveness factors and criteria. The third tier of the developed model encompasses the use of multi-attribute utility theory to compute competitiveness scores for construction companies through blending criteria’ relative importance weights alongside their respective utility functions. In addition, the third tier comprises conducting a sensitivity analysis to derive the most important criteria influencing the overall competitiveness of construction companies. The developed model is tested and validated using three case studies; one construction company from Canada and two construction companies from Vietnam.

Results demonstrated that the developed model has a potential to render a synthesized and methodical performance evaluation for the competitive ability of a given construction company. Furthermore, it was found that Vietnamese companies are more considerate towards pillars pertaining to environment and client while Canadian companies are more attentive towards innovation and development. The outcome of sensitivity analysis revealed that effectiveness of cost management highly affects the competitive ability of Vietnamese companies while effectiveness of cost management exhibits the most significant influence on the competitive of Canadian companies.

The developed model can benefit construction companies to understand their competitiveness in their market and diagnose their strengths and weaknesses. It is also can be useful in efficient utilization of their limited resources and development of sustainable and long-term strategic plans strategic plans, which consequently leads to maintaining better position in their dynamic business markets.

Literature review manifests that reported competitiveness assessment models and practices are not able to address present challenges, technologies and developments in construction market.

By focussing on the anticipated emotional reactions of volunteers and drawing on theories of motivation and identity, this study investigates how volunteers react to different options of the entrepreneurial model of Amigos for Children Foundation (ACF). The paper proposes a hypothetical model for volunteer’s emotional reactions to potential business model changes. We suggest the relative importance of intrinsic motivational factors, professional identity and attitudes towards business organisations as mediating variables. ACF works exclusively with university students as volunteers, so their specific characteristics may limit some of the conclusions and propositions of this qualitative research, but public policy consequences of supporting similar entrepreneurial transitions can be generally relevant.

Based on the qualitative analysis of semi-structured interviews with volunteers of ACF, a Hungarian non-profit organisation, we explore the challenges of transitioning into a social enterprise.

Previous research showed controversial results about the impact of pay on the motivations of volunteers. For a non-profit organisation that would like to utilise the competencies of its volunteers, introducing a market-based service may mean additional financial resources and the potential loss of human resources. Understanding the moderating factors of volunteers' reactions might help build better theories for managing the non-profit-social enterprise transition and designing public policies to support scaling up the impact of successful social purpose organisations.

For practitioners, the research underlines the importance of participatory mechanisms in volunteer management. By managing transitions better, non-profit organisations can expand their social impact by acquiring more financial resources through market-based activities closely related to their original activities and keeping their volunteers. The study elucidates the relevance of the crowding-out effect and indicates some hypothetical moderating variables influencing its potential degree.

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.