Team Performance Research Articles

Team dynamics in esports and traditional sports: similarities and differences

Purpose While esports and traditional sports teams have differences, they also share similarities that, if large enough, uphold learning opportunities, especially for building sustainable esports teams. This study aims to compare esports and traditional sports teams in the context of team dynamics. Specifically, the authors investigate the relationship of team trust and collective efficacy (CE) to shared mental models (SMMs), its effect on team performance in esports as well as traditional sports teams and quantifiably compare their similarity. Design/methodology/approach Data from 159 esports team players (aged 22.58; SD = 4.09) with, on average, 4.49 (SD = 3.77) years of playing experience and 165 traditional-team players (aged 23.54; SD = 5.99) with, on average, 13.49 (SD = 5.49) years of playing experience were collected online through validated questionnaires. Findings Structural equation modeling supports the relationship of trust and CE to SMMs and, in turn, to perceived performance. The models on esports and traditional sports teams are similar; only team trust is found to be statistically significantly higher for esports teams (Z = 2.08, p = 0.02). Furthermore, MANOVA results show only significant differences in two CE scales out of 13, with esports teams being higher in ability (ηp2 = 0.03) and persistence (ηp2 = 0.02). Originality/value To the best of the authors’ knowledge, this paper is the first to collect data on team dynamics while conducting a quantitative comparison between traditional and esports teams. The results not only confirm their similarities but also highlight their distinct importance for performance. Thus, to effectively manage and maintain sustainable esports teams, existing knowledge on traditional sports teams can serve as a foundation for esports psychologists, coaches and managers to apply and adapt to the unique demands of the esports context.

Engaged employers - engaged workplaces? Exploring workplace resistance to work inclusion of Persons with Disabilities (PwD).

The term employer engagement denotes the active participation of employers in facilitating the labor market integration of PwDs. However, the enthusiasm of employers themselves may not always trickle down to middle managers and co-workers who are entrusted with the daily task of supporting PwDs. Explore empirically the phenomenon of resistance towards the inclusion of PwDs, how it may unfold at the workplace level such as its potential forms and reasons. An exploratory case study of five Norwegian organizations comprising 26 qualitative interviews with PwDs, managers, HR-representatives, union-representatives and co-workers. Our data reveal various forms of workplace resistance, often stemming from frustration related to the slow pace or lack of competence in PwDs, increased workload for co-workers, or challenges related to team performance. Social challenges and attempts to protect social and organizational positions may also lead to resistance. Employees at the ground level appear to hold significant power in influencing the sustainability of inclusion. The data suggest that workplace resistance can potentially lead to drop-out from work. This paper underscores the significance of co-workers' resistance in employer engagement. Our study suggests that resistance is a relevant topic in the workplace that may impact the inclusion of PwDs and should be further explored empirically. Resistance should also be addressed at the theoretical level, particularly in relation to the concept of employer engagement. Further studies are required to obtain a representative understanding of how resistance unfolds across different businesses and industries, including strategies to mitigate or prevent it.

National Survey of Neonatal-Perinatal Medicine Fellows on Postresuscitation Debriefing.

Debriefing can be a powerful tool to facilitate improvement of performance after a resuscitation event. This study characterizes the debriefing experience of neonatal-perinatal medicine (NPM) fellows in the neonatal intensive care unit (NICU), operating room, and delivery room in the United States.An anonymous 13-item electronic survey was distributed to NPM program directors across the United States, who were asked to forward it to their respective NPM fellows. The survey addressed the frequency and timing of debriefings, access to formal training, and comfort levels with debriefing.Ninety-five responses were collected, with all participants having taken part in at least one medical resuscitation. Debriefings occurred approximately 25% of the time following a resuscitation, typically within 6 hours. Twenty percent of respondents reported feeling somewhat or very uncomfortable leading a debriefing, while 84% believed debriefings improve team performance. Despite 72% reporting no formal debriefing training, 94% expressed interest in receiving such training.This national survey on NPM fellows highlights inconsistent debriefing practices despite recognized benefits. Limited formal training remains a barrier, but a strong interest in further education presents an opportunity to improve training through the incorporation of structured debriefing frameworks into fellowship curricula. · Although NPM fellows often debrief resuscitations, 72% reported no formal training.. · Formal debriefing training can improve debriefing quality and enhance patient outcomes.. · NPM programs should implement structured debriefing to better prepare their fellows..

Analysis of the 3X3 Basketball Technique Women Team at the Olympic Games 2022

Background and Aim: Basketball competitions were now being statistically analyzed to study the elements that contribute to their success, prepare teams, and understand the strengths and weaknesses of opposing teams for effective training. Data analysis in basketball provides important insights into game-play characteristics, team performance, and competition results. Therefore, the research objectives were to study the 3x3 basketball techniques women's team in the Olympic Games 2022 and to compare the 3x3 basketball techniques team between the winning team with the losing team. Materials and Methods: This study was a research and development study. Subjects were a purposive sampling of 32 players from eight teams that competed in women's 3x3 basketball at the 32nd Tokyo Olympic Games, such as China, Romania, the Russian Olympic Committee, Italy, France, Japan, the United States of America, and Mongolia. Data were collected and analyzed for the mean and standard deviation of statistical score, team offense, team defense, and technique team. Mean comparisons of statistical score, team offense, and team defense between the winning with losing teams were conducted using an independent t-test. Multiple regression was conducted with the winning team on competition statistics. The significance level was set to 0.05. Results: The results found that: 1) In the comparison of statistics in basketball competitions, classified according to the results between the winning and losing teams, it was found that PTS, %1PT, and %FT showed significant differences, while other %2PT showed no significant differences. 2) A comparison of group statistics on offense and defense teams, broken down by competitive scores between winning and losing teams, found that all variables did not significantly differ. 3) The results of the multiple regression analysis of statistical values occurring during the competition, when considered against the competition outcomes. It was found that the competition statistical values able to predict the competition outcomes of the winning team consist of the statistics PT1_S, PT2_S, and FT_S. Conclusion: The statistical values from the competition that can predict the outcomes for the winning team include PT1_S, PT2_S, and FT_S. These values can be used to create a prediction equation based on raw scores: Winning Team = 2.27 + 0.92(PT1_S) + 1.67(PT2_S) + 0.69(FT_S).

Fatigue and management of warfighter mental endurance.

Mental fatigue (MF) is a psychobiological state induced by prolonged exertion that has the potential to reduce performance. In military operations, MF coincides with inadequate sleep, circadian disruption and other stressors, further increasing the risk of fatigue-related errors of judgement and reduction in physical and psychological performance. Experienced leaders can detect MF, but multimodal monitoring and assessment technologies still cannot duplicate this capability. Experiments to define signals that cue this human percept could inform future technologies. Countermeasures include engagement strategies, brain endurance training to extend physical endurance, and caffeine and modafinil to temporarily sustain performance. An infrastructure for physiological monitoring and integrated analyses will advance team performance enhancement, along with the use of explainable and interpretable artificial intelligence modelling, refined through iterative experimentation. More precise definitions that distinguish MF from other types of fatigue will help advance the development of monitoring technologies and countermeasures by targeting the right physiological and behavioural metrics.

Quality of Care and Opportunities for Improvement in Prehospital Care of Critically Ill Pediatric Patients: An Observational, Simulation-Based Study

ABSTRACT OBJECTIVES Emergency medical services (EMS) clinicians infrequently care for infants or children. Simulation allows assessment of EMS at the individual, team, and agency level. Standardized tools to evaluate EMS team performance provides educators and EMS clinicians information on the quality of clinical skills performed in pediatric prehospital scenarios, providing opportunities for reinforcement or relearning. This study utilizes skills checklists to describe EMS team performance during three pediatric emergencies and describes skill performance within each simulation. As secondary objectives we evaluated performance differences among three states, and for teams whose agency had a pediatric emergency care coordinator (PECC) compared to those that did not. METHODS This was a prospective cohort study of EMS clinician team performance, across three standardized pediatrics simulations: Respiratory (child asthma/respiratory arrest), Cardiac (infant cardiopulmonary arrest, and Neurological (sepsis/seizure). Simulations were conducted with 11 EMS agencies in three states, video-recorded and evaluated using standardized tools. Video recordings were evaluated if they included the complete simulation and the audio was intelligible. The primary outcome was mean percent of actions performed correctly in each simulation. Using a series of ANOVAs, comparisons were made among the three simulation types, states, and, whether there was an EMS PECC in participating agencies. RESULTS There were 166 simulations conducted over 30 months of which 140/163 (84.3%) were evaluated. The mean percent of actions performed correctly by teams in the Respiratory simulation was higher than for Cardiac and Neurological simulations (Respiratory =60.9%, SD = 8.9, range = 40-78.6%; Cardiac 58.7% (SD = 11.8, range = 26.0.1-81.0%); Neurological =54.9%, SD = 9.9, range = 34.1-72.3%; p = 0.02), and no significant difference between Cardiac and Neurological simulation performance. There were differences by participating states in the Respiratory simulation performance (p = 0.04) and Neurological simulations (p = 0.03). The study was underpowered to determine if PECC presence was associated with improved performance. CONCLUSIONS In high acuity pediatric simulations, EMS teams demonstrated better resuscitation performance for children with child asthma/respiratory arrest than for infants with cardiopulmonary arrest or sepsis/seizure. The gaps noted in EMS quality of care can be used to guide educational and quality of care improvement interventions.

Optimizing DevOps for Critical Systems

This article examines the impact of DevOps practices on improving the productivity of software development teams and managing quality variability in the maintenance of critical systems. Based on an analysis of the MONTE system developed by the Mission Design and Navigation Software group at the Jet Propulsion Laboratory (JPL), a comparative assessment was conducted of key metrics, including defect density, release frequency, and incident response time, before and after the implementation of DevOps. The application of time-series analysis methods demonstrated that systematic integration of automation, continuous integration and delivery, and infrastructure as code contributes to reducing operational risks and enhancing process efficiency. DevOps cycles in mission-critical systems function as continuously iterative pipelines for deployment, testing, and delivery. They are built on principles of closed-loop feedback and adaptive change management, where each iteration includes formal static verification and automated deployment with compliance checks against regulatory standards. DevOps methodologies in such systems are grounded in Infrastructure as Code and GitOps practices, combined with advanced release strategies and blue/green deployment models. These approaches support a high level of observability, predictive monitoring based on reliability metrics, and continuous risk management through integrated security controls and configuration management components. Additionally, the article provides an overview of strategies and recommendations for the successful adoption of DevOps, considering organizational and technological prerequisites, changes in corporate culture, and the need for skill development among specialists. The study results confirm the hypothesis that DevOps approaches serve as an effective tool for enhancing stability, reliability, and team productivity in the operation of mission-critical systems. The information presented will be valuable for researchers and IT professionals, as well as for managers seeking to integrate advanced DevOps methodologies to improve team performance and optimize business processes.

"Nothing Comes to Mind…": Challenges With Identifying One's Own Role in Preventable Adverse Outcomes in Interprofessional Birthing Unit Teams, and the Implications for Quality Improvement Initiatives.

Preventable adverse perinatal outcomes have a devastating impact on patients and providers and form the basis of many quality improvement (QI) and patient safety initiatives in birthing unit teams, including fetal health surveillance (FHS) training programs. Birthing unit staff attitudes regarding the role of interprofessional relationships on FHS decisions remain largely unexplored with respect to preventable adverse outcomes. In this intervention-primed, constructivist grounded theory study, members across all five professions providing intrapartum care at one academic centre attended an interprofessional workshop on improving their FHS interpretation, response, communication, and teamwork skills. Twenty-three birthing unit team members across midwifery, obstetrics, family medicine, nursing, and obstetrical trainees were purposively sampled and completed semi-structured interviews. Self-serving bias theory was used as a sensitizing concept to explore the social phenomena observed. Birthing unit staff constructed a self-schema of their role in FHS management that was more flattering than the person-schema created by their colleagues about them. The schemas encoded four categories of information that included (1) Identifying the offender, (2) Assigning blame (3) Aligning with the "right" philosophy of care, and (4) Defending one's profession. Participants demonstrated distorted perceptual processes where they described errors other team members had made with ease but struggled to acknowledge their own role in poor outcomes. Dissonant schemas can be barriers to the accurate self-assessment of one's skills and have significant implications for interprofessional team competence. QI initiatives may be of limited efficacy given these findings, but addressing these distorted perceptual processes in QI initiatives could improve team performance.

Human-AI Communication in First Aid Response: Effects on Team Performance, Trust, and Teamwork Appraisal

This study examines human-AI communication in simulated first aid scenarios, exploring its impact on team performance, AI teammate trust, and perceived workload and self-efficacy. Twenty-five participants without first aid training collaborated with an autonomous 9-1-1 call taker (ChatGPT-3) to administer bleeding control actions on a specialized mannequin. During the simulations, participants followed inconsistent and, at times, inaccurate AI instructions while passively responding to AI commands and questions. However, participants perceived the AI's instructions to be accurate, helpful, and easy to follow and, irrespective of first aid performance, participants consistently reported high self-efficacy and trust in the AI teammate. The study highlights the importance of team roles (i.e., leader versus follower) and role-based communication in fostering trust and perceived self-efficacy within human-AI teams, and outlines design implications for human-AI teaming in safety-critical contexts.

Lead the room: Impact of leadership style on team resilience among trainees in the trauma bay.

Leadership is a crucial component to successful team functioning in high-acuity scenarios. However, literature addressing the potential impact of leadership style on team members during trauma resuscitations is scarce. We aim to assess the link between leadership type and team resilience among trainees in the trauma bay through video review and hypothesize that transformational leadership would be predominant and positively linked with team member behaviors. We performed a single-center cross-sectional study of adult patients (14 years or older) presenting at our Level I trauma center. Trainee performance was evaluated with Behavior Anchored Rating Scales through post hoc audiovisual review of captured trauma resuscitations. Statistical analysis was performed to explore possible correlations between leadership style (transformational, transactional, and passive) and three team resilience behaviors (speaking up, knowledge sharing, and cooperation). A total of 118 Level I and II trauma activations were analyzed. The average age was 34 [26-47] years, with 23% (n = 27) penetrating injuries, and an average Injury Severity Score of 12.5 [5-23.5]. Trauma leads scored highest on passive leadership (M = 2.96, SD = 1.16), followed by transactional (M = 2.67, SD = 1.29) and transformational (M = 2.33, SD = 1.19). Team members scored highest on knowledge sharing (M = 3.67, SD = 0.78) but lower on cooperation (M = 3.10, SD = 0.70) and speaking up (M = 3.10, SD = 1.17). Transformational and transactional leaderships were both positively correlated to the capacity in which team members cooperate (r = 0.53, p < 0.001 and r = 0.53, p < 0.001, respectively), share knowledge (r = 0.47, p < 0.001 and r = 0.47, p < 0.001, respectively), and speak up (r = 0.52, p < 0.001 and r = 0.49, p < 0.001, respectively). Passive leadership was negatively correlated with all three trauma team behaviors (p < 0.001). Both transactional and transformational leaderships were positively associated with team resilience behaviors during trauma resuscitations. Opportunities for improvement among trainees suggest adopting an active rather than passive leadership style to promote team performance. Single-Center Prospective Observational Study; Level IV.

Courting greatness: Evaluation of the relationship between talent and team performance in the WNBA

There has been a recent rise in interest and funding in women's professional sports, specifically the WNBA. This has created an increased pool of talented players that coaches have to sort through to identify whom they want on their teams. Prior literature has researched the relationship between talent and the quantity of talented players on NBA teams, but this has not been evaluated within the WNBA. As such, the present works investigate this relationship through a regression analysis operationalizing talent as either plus-minus ratings (PM) or player impact estimates (PIE) and team performance as regular season wins. Results from this analysis indicate that teams with a higher quantity of top talent tend to win more games during the regular season when utilizing both PIE ( F (2, 117) = 120.37, p &lt; .05) and PM as a measure of talent ( F (2, 117) = 120.37, p &lt; .001). These findings create novel insights to assist coaches in their decision-making for player selections.

Pengukuran Kinerja Karyawan Bagian Pengiriman Barang Di UD. Bima Sakti Timur Raya Surabaya Menggunakan Metode Key Performance Indicator (KPI)

Performance measurement using KPIs has proven to provide an accurate overview of individual performance in the delivery department. The majority of employees were able to meet the set targets, indicating that, overall, the team's performance falls within a good category. Nevertheless, there are still areas that require improvement, such as reducing delivery errors and increasing customer satisfaction crucial aspects in maintaining the company's reputation and consumer loyalty. Enhance to performance quality, regular training is needed to strengthen understanding of work procedures and improve efficiency. Additionally, rescheduling and route optimization can help reduce delays and accelerate the distribution process. Evaluation and updating of KPIs every six months is also important to ensure the indicators remain relevant to operational needs. Finally, a performance-based incentive system is considered effective in boosting motivation and encouraging optimal achievements from each employee.

Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information

The integration of artificial intelligence (AI) into human decision-making processes at the workplace presents both opportunities and challenges. One promising approach to leverage existing complementary capabilities is allowing humans to delegate individual instances of decision tasks to AI. However, enabling humans to delegate instances effectively requires them to assess several factors. One key factor is the analysis of both their own capabilities and those of the AI in the context of the given task. In this work, we conduct a behavioral study to explore the effects of providing contextual information to support this delegation decision. Specifically, we investigate how contextual information about the AI and the task domain influence humans' delegation decisions to an AI and their impact on the human-AI team performance. Our findings reveal that access to contextual information significantly improves human-AI team performance in delegation settings. Finally, we show that the delegation behavior changes with the different types of contextual information. Overall, this research advances the understanding of computer-supported, collaborative work and provides actionable insights for designing more effective collaborative systems.

Analysis of team timeouts in high-performance futsal matches: when to call and what to expect?

ABSTRACT This study analyse the strategic use of team timeouts (TTOs) in high-performance futsal, identifying when they are requested and their impact on team performance. Data from 244 matches in the 2023 Brazilian Futsal League were examined, with 735 TTOs analysed. Performance variables, including shots, goals scored, and goals conceded, were measured three minutes before and after each TTO request. Findings indicate that TTOs were requested in 75% of available opportunities and were predominantly used in the final 10 minutes of each half. Most timeouts occurred when teams were losing or tied, with a significant performance improvement observed in losing situations. Specifically, teams that called TTOs while trailing experienced an increase in shot attempts, a reduction in goals conceded, and a higher likelihood of scoring. However, TTOs had little impact when teams were winning or tied. Additionally, TTOs were more effective in open play than in set-play situations. These results suggest that coaches should strategically use TTOs to maximise their impact, particularly when trailing and in open-play scenarios. By further understanding how TTOs influence match dynamics, coaches can refine their in-game strategies and maximise their team’s competitive advantage.

Organisation of functional competence within teams in a dynamic decision-making task

Abstract In safety- and security critical contexts such as crises management, emergency response and defence, actors must be able to manage complex problems. In this paper we study the organisation of functional competence within teams engaged in dynamic decision-making tasks, such as teams working within a command and control process. More specifically we investigate if team performance is affected by the level of variety of functional competence within teams, in relation to the level of complexity of their task. 18 teams with four members each, participated in experiments with a simulated microworld. Our results show no significant difference in the overall performance between the high variety teams and the low variety teams. However, process measures, such as decision-making speed, and the capability to extinguish fires in the simulated world, still indicate a performance advantage for the low variety teams, at least at a relatively higher level of external complexity.

Factors Influencing Multicultural Team effectiveness in Nepalese Financial Institutions of Kathmandu Valley

The effective management of multicultural teams is crucial for fostering a harmonious and productive work environment in Nepalese financial institutions, particularly within the Kathmandu Valley. This study investigates the dimensions influencing multicultural team effectiveness, including working environment, communication quality, superior’s support, remuneration, and cultural intelligence. Employing descriptive and causal comparative research designs, the study utilized convenience sampling to gather primary data from 418 respondents across 17 commercial banks. A structured questionnaire was administered, and Cronbach's alpha was employed to assess reliability. The analysis revealed that working environment, communication quality, superior's support, and cultural intelligence has positive and significant impact on multicultural team effectiveness. However, remuneration has negative and insignificant influence on the multicultural team effectiveness. The study concludes that improvements in working environment, communication quality, superior’s support, remuneration, and cultural intelligence were associated with enhanced team performance. The findings highlight the necessity for financial institutions to implement strategies that promote effective management of multicultural teams. Recommendations include providing meditation sessions to alleviate work-related stress, fostering an inclusive culture through team-building activities, and offering training on cultural sensitivity and communication styles. This research adds to the existing literature by providing empirical evidence on the factors influencing multicultural team effectiveness in Nepalese financial institutions and outlining practical management strategies.

Adaptive Risk Management in Agile Projects Using Predictive Analytics and Real-Time Velocity Data Visualization Dashboard

In today’s dynamic software development landscape, agile methodologies have become the standard for delivering iterative, customer-focused solutions. However, the volatile nature of agile projects, characterized by evolving requirements, cross-functional dependencies, and fluctuating team performance, necessitates a more sophisticated approach to risk management. This review explores the integration of adaptive risk management frameworks with predictive analytics and real-time velocity data visualization dashboards to enhance decision-making and resilience in agile environments. By leveraging historical sprint metrics, machine learning models, and time-series forecasting techniques, predictive analytics can identify emerging risks related to delivery slippage, quality degradation, or capacity constraints. Simultaneously, real- time dashboards enable continuous monitoring of key performance indicators such as sprint velocity, burndown rates, defect leakage, and team throughput, offering visual cues that support early intervention strategies. The study critically analyzes current tools and frameworks—such as Jira, Azure DevOps, and custom-built analytics platforms—used to implement these techniques. It also highlights best practices in integrating anomaly detection algorithms, heatmaps, and alert systems for proactive risk mitigation. Additionally, the paper evaluates how adaptive risk management promotes agile maturity, enhances transparency among stakeholders, and supports continuous improvement through feedback loops. By synthesizing findings from recent empirical studies and industry applications, this review underscores the transformative potential of predictive data-driven approaches in elevating agile project performance and ensuring sustainable delivery outcomes.

Quantitative team performance metrics for dismounted infantry battle drill analysis.

Quantitative team performance metrics for dismounted infantry battle drill analysis.

Physiologically informed predictability of a teammate’s future actions forecasts team performance

Physiologically informed predictability of a teammate’s future actions forecasts team performance

It May Not Be the Smartest Thing to Do, but Sometimes It's the Only Option: A Longitudinal Mixed-Methods Study of Analgesic Use in Youth Elite Athletes.

OBJECTIVES: To (1) compare analgesic use over 36 weeks between endurance athletes, technical athletes, and team athletes, and (2) explore experiences and sociocultural factors impacting analgesic use. DESIGN: Longitudinal mixed-methods study METHODS: Six hundred eighty-nine youth elite athletes (44% girls/women, 15-20 years) provided weekly reports on number of days with analgesic use, reasons for use, and types of analgesics used for 36 weeks. Prevalence and frequency of analgesic use was compared between athletes from team sports, endurance sports, and technical sports using mixed-effects logistic and Poisson regression models. Reasons and types of analgesics used were compared between groups using Chi-square tests. Nine focus group interviews with 32 participants were conducted and analyzed using thematic analysis. RESULTS: There were no differences in odds of analgesic use between endurance athletes (reference group), technical athletes (odds ratio [OR], 0.94; 95% confidence interval [CI]: 0.65, 1.37), and team athletes (OR, 0.88; 95% CI: 0.62, 1.25). Similarly, there were no differences in rate of analgesic use between endurance athletes (reference group), technical athletes (incidence rate ratio [IRR], 0.97; 95% CI: 0.87, 1.07), or team athletes (IRR, 1.03; 95% CI: 0.94, 1.14). Reasons for use varied between groups, while the types of analgesics used were similar. Sociocultural factors impacting analgesic use included considering the potential consequences of using analgesics for pain and injury, and feeling responsible for team performance. CONCLUSION: Analgesics were commonly used among youth elite athletes in Denmark. Analgesic use generally did not vary between team athletes, endurance athletes, and technical athletes. Several norms, values, and structures in sports environments impacted analgesic use. J Orthop Sports Phys Ther 2025;55(5):1-11. Epub 3 April 2025. doi:10.2519/jospt.2025.13015.