Team Performance Research Articles

Defining Unique Features of Discourse in Club of Funny and Inventive: A Study of Humor in KVN Performances

This article focuses on identifying the distinctive characteristics of discourse within the "Club of the Funny and Inventive" (Russ. KVN). The primary material for this study consists of team performances from the KVN television show. Attention is given to the challenge of defining the concept of discourse, along with a review of major approaches to its interpretation. It is demonstrated that humorous performances in KVN can be analyzed within the existing scientific paradigm as a communicative figure comprising three components: "reality – text – discourse," as well as being viewed as a specific communicative event. The authors examine the ontological characteristics of humor, highlighting its basis in contradiction and its sociocultural nature. Functions such as communication, socialization, identification, and differentiation facilitated by humor are described. The relevance of this research is underscored by the significance of KVN as a cultural phenomenon in shaping and developing humorous discourse as a whole. The article posits that KVN can be regarded as a distinct variety of humorous discourse due to its thematic and stylistic coherence. It is suggested that the specific characteristics and conditions governing KVN lead to the emergence of traits similar to those found in institutional discourse. The novelty of this study lies in articulating the antinomic characteristics of KVN discourse, concluding that their existence is intrinsically linked to the foundational contrast inherent in humor itself.

Semantic Web-Based Identification of Key Causative Factors and Chains for Team Error in NPPs' ACR

Team errors are identified as a major contributor to incidents in safety-critical systems like nuclear power plants (NPPs). Safety in NPPs is more dependent on team performance than individual, and reducing team errors requires identifying key causative factors and chains. Current studies primarily use qualitative analysis whereas lacking quantitative methods. This study addressed this by constructing a complex network model of team error based on semantic features and coding of the Semantic Web and determining criteria for selecting key causative factors by three node failure strategies. The top 5 team error key PSFs and top 5 high-risk causative chains were identified in the results. Finally, a set of control strategies was proposed further. This research can guide identifying key causative factors which could be a good starting point to scrutinize the team performance and establish control strategies for team error in NPPs.

Enhancing Performance in Construction Project Management Teams

The seminar paper provides a pragmatic perspective of the topic of enhancing performance in construction project management teams. The paper provides a detailed collated review of several key areas pertaining to construction project management teams and their performance based on the findings of previous research. The study has focused on a range of aspects namely, leadership, competence and capabilities, effective communication, decision-making, interpersonal relationships and emotional intelligence, project management and governance approaches, trust, psychological safety, and team culture. Each sub-topic (aspect) has been structured in a manner that includes a brief introduction to the aspect, its importance for construction projects, the current state in construction projects, strategies, and approaches to eliminate the issues and contribute to increase in the team’s overall performance and finally, the novel strategies and tools pertaining to the focus area. The author anticipates that the content provided in this seminar paper shall be beneficial for effective decision making by organizational leadership and for the project leadership and the team to pay more consideration towards the strategies and approaches to enhance the elaborated aspects that are often overlooked in construction projects.

Understanding the relationship between team diversity and the innovative performance in research teams using decision tree algorithms: evidence from artificial intelligence

Understanding the relationship between team diversity and the innovative performance in research teams using decision tree algorithms: evidence from artificial intelligence

Environmental Heat Stress Detrimentally Affects Match Running Performance of Elite Soccer Teams Competing in the UEFA Champions League.

Modric, T, Clemente, FM, Versic, S, Chmura, P, Andrzejewski, M, Kryściak, J, and Sekulic, D. Environmental heat stress detrimentally affects match running performance of elite soccer teams competing in the UEFA Champions League. J Strength Cond Res XX(X): 000-000, 2024-This study aimed to examine the effect of environmental heat stress (EHS), defined by wet-bulb globe temperature (WBGT), on match running performance (MRP) while controlling for match-related contextual factors. For this purpose, 2 approaches were implemented: (a) the MRP in heat stress nonrisking environment (NoEHS) (WBGT <22° C) and heat stress risking environment (EHSrisk) (WBGT ≥22° C) were compared and (b) changes in MRP according to the 1° C increase in WBGT were evaluated. Data on MRP were collected using an optical tracking system from all teams ( n = 32) in all UEFA Champions League matches ( n = 125) during the 2022-23 season. Metrics included total distance (TD), low-intensity (LIR), moderate-intensity (MIR), and high-intensity running (HIR) distances. Results indicated that less TD (108.84 vs. 110.71 km; Cohen's d [ d ] = 0.53), MIR (15.91 vs. 17.09 km; d = 0.85), and HIR (8.75 vs. 9.23 km; d = 0.46) were covered in matches played in EHSrisk compared with the NoEHS. Further investigation indicated that for every 1° C increase in WBGT, TD averagely decreased by 0.16 km ( d = -0.48), MIR by 0.13 km ( d = -1.09), and HIR by 0.06 km ( d = -0.69). These findings demonstrated decreased overall and intensive workload during the matches in EHSrisk, suggesting the detrimental effect of EHS on match volume and intensity in elite soccer. When EHS risk is anticipated, consideration of playing and recovery strategies should be implemented by coaches to achieve tactical goals while minimizing physical strain during a match.

Protecting oneself while supporting the organisation: A longitudinal exploratory study of healthcare workers’ coping strategies and organisational resilience processes in the first year of the COVID-19 pandemic

The COVID-19 pandemic has been a major source of stress for health professionals and health institutions. In response, healthcare workers adapted their behaviours to protect their health and the organisational resilience of their institutions. The study aimed to explore these individual coping and organisational resilience strategies and their evolution during the first year of the pandemic. Based on a mixed and longitudinal protocol, the study included staff from several French-speaking Swiss healthcare institutions. Participants completed an online questionnaire three times during the first year of the pandemic. They described daily problematic work situations, coping styles, and organisational resilience strategies. ‘Problem solving’ was the most frequently reported coping style, followed by ‘positive thinking’, and in a lesser extent ‘seeking social support’ and ‘avoidance’. A high level of ‘problem solving’ and ‘positive thinking’ was associated with well-managed situations, learning and development of new work practices and higher team performance. A higher level of ‘seeking social support’ and ‘avoidance’ tended to be associated with high-risk problematic situations that hindered organisation resilience. Coping strategies differed depending on profession, job tenure and hierarchical status. The article concludes with recommendations for improving both organisational resilience and individual workers’ well-being in healthcare institutions.

The Impact of Exercise Load and Intensity on the Performance of China U24 3x3 Women Teams

This study analyzed the exercise load and exercise intensity of the China U24 3x3 women team in multiple games, combined with the performance data of the players in the game, and explored the impact of these factors on exercise performance. The results showed that there was a significant positive correlation between load intensity and average heart rate, and high load intensity usually led to a higher average heart rate. In addition, performance data such as scoring and rebounding were also significantly correlated with load intensity and load volume. Players with higher scores often underwent higher load volume and load intensity in the game. This shows that in high-intensity games, players' physical fitness and performance are closely related, and reasonable monitoring and management of load intensity are crucial to improving player performance and reducing the risk of injury. The study also showed that there were significant differences in load volume and load intensity between the U24 Blue Team and the U24 Red Team in different games, further emphasizing the importance of load management in game strategy and physical training. This study provides empirical evidence for basketball teams to formulate scientific training plans and game strategies, and emphasizes the importance of exercise load and intensity management to improve the overall performance of the team and the individual performance of the players.

Development and Evaluation of a Rural Longitudinal Neonatal Resuscitation Program Telesimulation Program (MOOSE: Maine Ongoing Outreach Simulation Education).

Neonatal resuscitation is a high-acuity, low-occurrence event and many rural pediatricians report feeling underprepared for these events. We piloted a longitudinal telesimulation (TS) program with a rural hospital's interprofessional delivery room teams aimed at improving adherence to Neonatal Resuscitation Program (NRP) guidelines and teamwork. A TS study was conducted monthly in one rural hospital over a 10-month period from November 2020 to August 2021. TS sessions were remotely viewed and debriefed by experts, a neonatologist and a simulation educator. Sessions were video recorded and assessed using a scoring tool with validity evidence for NRP adherence. Teamwork was assessed using both TeamSTEPPS 2.0 Team Performance Observation Tool and Mayo High-Performance Teamwork Scale. We conducted 10 TS sessions in one rural hospital. There were 24 total participants, who rotated through monthly sessions, ensuring interdisciplinary team composition was reflective of realistic staffing. NRP adherence rate for full code scenarios improved from a baseline of 39 to 95%. Compared with baseline data for efficiency, multiple NRP skills improved (e.g., cardiac lead placement occurred 12× faster, 0:31 seconds vs. 6:21 minutes). Teamwork scores showed improvement in all domains. Our results demonstrate that a TS program aimed at improving NRP and team performance is possible to implement in a rural setting. Our pilot study showed a trend toward improved NRP adherence, increased skill efficiency, and higher-quality teamwork and communication in one rural hospital. Additional research is needed to analyze program efficacy on a larger scale and to understand the impact of training on patient outcomes. · Optimal newborn outcomes depend on skillful implementation of NRP.. · Telesimulation can deliver medical education that circumvents challenges in rural areas.. · A longitudinal NRP TS program is possible to implement in a rural setting.. · A rural NRP telesimulation program may improve interprofessional resuscitation performance.. · A rural NRP telesimulation program may improve interprofessional resuscitation teamwork..

Bringing team science to the ambulatory diagnostic process: how do patients and clinicians develop shared mental models?

The ambulatory diagnostic process is potentially complex, resulting in faulty communication, lost information, and a lack of team coordination. Patients and families have a unique position in the ambulatory diagnostic team, holding privileged information about their clinical conditions and serving as the connecting thread across multiple healthcare encounters. While experts advocate for engaging patients as diagnostic team members, operationalizing patient engagement has been challenging. The team science literature links improved team performance with shared mental models, a concept reflecting the team's commonly held knowledge about the tasks to be done and the expertise of each team member. Despite their proven potential to improve team performance and outcomes in other settings, shared mental models remain underexplored in healthcare. In this manuscript, we review the literature on shared mental models, applying that knowledge to the ambulatory diagnostic process. We consider the role of patients in the diagnostic team and adapt the five-factor model of shared mental models to develop a framework for patient-clinician diagnostic shared mental models. We conclude with research priorities. Development, maintenance, and use of shared mental models of the diagnostic process amongst patients, families, and clinicians may increase patient/family engagement, improve diagnostic team performance, and promote diagnostic safety.

Identifying successful football teams in the European player transfer network

This paper considers the European transfer market for professional football players as a network to study the relation between a team’s position in this network and performance in its domestic league. Our analysis is centered on eight top European leagues. The market in each season is represented as a weighted directed network capturing the transfers of players to or from the teams in these leagues, and we also consider the cumulative network over the past 28 years. We find that the overall structure of this transfer market network has properties commonly observed in real-world networks, such as a skewed degree distribution, high clustering, and small-world characteristics. To assess football teams we first construct a measure of within-league performance that is comparable across leagues. Regression analysis is used to relate league performance with both the network position and level of engagement of the team in the transfer market, under two complimentary setups. Network position variables include, e.g., betweenness centrality, closeness centrality and node clustering coefficient, whereas market engagement variables capture a team’s activity in the transfer market, e.g., total number of player transfers and total paid for players. For the season snapshots, the number of transfers correspond to weighted in- and out-degree. Our analysis first corroborates several recent findings relating aspects of market engagement with teams’ league performance. A higher number of incoming transfers indicates worse performance and better resourced teams perform better. Then, and across specifications, we find that network position variables remain salient even when engagement variables are already considered. This substantiates the notion in the existing literature that a high degree corresponds to better team performance and suggests that network aspects of trading strategy may affect a team’s success in their respective domestic league (or vice versa). In this sense, the approach and findings presented in this paper may in the future guide team’s player acquisition policies.

Experienced emotions, emotion regulation strategies, and regulation depletion in collective team collapse and performance recovery situations

The collective collapse of a team’s performance is typically triggered by a critical event, such as performance failure or scoring of the opponent, evoking unhelpful emotions and their transfer between team members. These changes in emotional states also affect athletes’ cognitive processes and behaviors, maintaining the team collapse and prohibiting the team from recovering its performance. However, not every critical event and the emotions that accompany it evoke a team collapse, which is why athletes’ emotion regulation may play a key role in determining the performance outcome of a critical event for the team. To investigate this hypothesis, we conducted a retrospective-online survey study with 69 team sport athletes, assessing the emotion regulation strategies they applied in past team collapse vs. performance recovery situations, and how these strategies impacted them. We used quantitative measures to assess experienced emotions, individual and interpersonal emotion regulation, and depleting effects of emotion regulation in both situations and an open-ended qualitative question to assess interpersonal emotion regulation strategies in more detail. Athletes reported more unhelpful emotions and the increased use of affect-worsening and performance hindering individual and interpersonal emotion regulation strategies in the team collapse compared to the performance recovery situation. Athletes further indicated higher levels of effort regulating emotions and higher depletion levels in the team collapse situation. Our results highlight the importance of individual and interpersonal emotion regulation strategies in team collapse situations and indicate the use of more effective and less depleting strategies for sport teams to mitigate against a team collapse. Lay summary: This correlational study explored experienced emotions, individual and interpersonal emotion regulation, and its depleting effects in team collapse situations vs. situations where teams recovered their performance after a critical event. Athletes used inefficient, affect-worsening strategies, experienced more unhelpful emotions, and felt more depleted in team collapse vs. performance recovery situations.

Teamwork in Rural Emergency Health Care: A Simulation-Based Cross-over Study of Co-located and Distributed Teams.

Despite the increasing use of distributed healthcare teams, performance evaluation is largely lacking. This study examined rural emergency health care in Sweden to determine the effect of teams being either co-located or distributed with remote physicians accessible via telemedicine. In this crossover study, 17 three-person teams were video recorded during co-located and distributed simulated scenarios. Team performance in the video recordings was evaluated using the TEAM instrument. Co-located scenarios had significantly higher Total ratings for the instrument (items 1-11), in the teamwork domain (items 3-9), and in overall performance (item 12) compared with distributed scenarios (P < 0.005). Item-level analysis revealed that co-located teams were better at completing tasks on time (item 4) and showed greater adaptability to changing situations (item 7). The higher rating of the performance of co-located teams underscores the challenges facing distributed teams. Given that distributed healthcare teams are a reality in rural areas in northern Sweden, education and training must be adapted to address these challenges. This adaptation is crucial for ensuring high-quality patient care by distributed teams.

The Relationship of Preseason Upper Extremity Function, Pain and Training on Normalized DIII Collegiate Swimming Performance.

Shoulder injuries comprise the largest proportion of swimming injuries and there is a large percentage of swimmers participating with pain. Therefore, it is assumed that shoulder pain decreases performance, but studies have not compared collegiate swimmers' performance with and without pain. 1) Determine if individual swimmer's shoulder pain and function are associated with a change in normalized swimming performance over a season.2) Determine if differences in normalized swimming performance exist among 3 collegiate teams. 3) Qualitatively describe and compare team's training regimes. Cross sectional study. Swimmers completed pre-(T1) and post-season (T2) surveys including pain ratings and shoulder function using the Kerlan-Jobe Orthopaedic Clinic (KJOC) shoulder and elbow questionnaire. Swimming times were obtained from published meet results. Coaches reported training programs through interviews and tracking logs. 52 NCAA Division III swimmers from 3 teams. Stepwise linear regression was used to determine if pain and function related to performance. Team demographics and normalized swimming performance (reduction in time per lap from season's beginning to end) were compared with ANOVAs with post-hoc tests. Initial KJOC scores, but not pain, related to individual swimming performance. Differences in team performance were found (p=0.006), with Team 3 having greatest reduction in time (1.01 sec/lap), lower percentage of females, a more experienced coach and a periodization schedule with large increases and decreases in yardage. There was a main effect (p=0.043) for baseline demographics with Team 3's swimmers being taller and having longer competitive experience. The initial KJOC score predicting swimming performance improvement demonstrates the need for athletic trainers to prioritize enhancement of pre-season function. Endurance training induced hypoalgesia and motivation may explain the lack of effect of shoulder pain on performance. Further research is needed to elucidate optimal periodization and dryland training.

A Cloud-KPIs Dashboard to Evaluate Agile Development Teams' Performance

In agile software development, the performance of human development teams is pivotal for project success, yet assessing their performance can be challenging, given the flexibility of agile project management. This article introduces predictive metrics for evaluating development teams, including indicators like delivery speed, code quality, internal collaboration, and problem-solving efficiency. It also discusses the tools and techniques available for measuring team performance, such as productivity tracking, code quality analysis, and feedback from users and customers. Real-world experiences with these metrics demonstrate their effectiveness in significantly enhancing human development teams' efficiency and effectiveness in managing agile software projects. By utilizing these metrics, development teams can pinpoint areas for improvement, adapt to changes, and enhance their capacity and skills to meet project objectives. In conclusion, this article underscores how predictive metrics contribute to the success of development teams in agile software projects within an ever-changing.

Towards Understanding AI Delegation: The Role of Self-Efficacy and Visual Processing Ability

Recent work has proposed artificial intelligence (AI) models that can learn to decide whether to make a prediction for a task instance or to delegate it to a human by considering both parties’ capabilities. In simulations with synthetically generated or context-independent human predictions, delegation can help improve the performance of human-AI teams—compared to humans or the AI model completing the task alone. However, so far, it remains unclear how humans perform and how they perceive the task when individual instances of a task are delegated to them by an AI model. In an experimental study with 196 participants, we show that task performance and task satisfaction improve for the instances delegated by the AI model, regardless of whether humans are aware of the delegation. Additionally, we identify humans’ increased levels of self-efficacy as the underlying mechanism for these improvements in performance and satisfaction, and one dimension of cognitive ability as a moderator to this effect. In particular, AI delegation can buffer potential negative effects on task performance and task satisfaction for humans with low visual processing ability. Our findings provide initial evidence that allowing AI models to take over more management responsibilities can be an effective form of human-AI collaboration in workplaces. 1

Talent scouting and standardizing fitness data in football club: systematic review

Talent scouting and fitness data standardization in professional football clubs have been the focus of research in recent years. The role of technology, big data, and data analytics is crucial in reshaping sports performance and bolstering the competitiveness of professional football teams. This review aims to consolidate current research on these technological advancements, examining how they can be effectively harnessed to revolutionize talent sourcing and elevate the competitive standards within football clubs. The review will focus on participants, including professional football players, and intervention interventions such as the implementation of digital technologies, data mining, and machine learning techniques. The study designs will include experimental, observational, and mixed-method studies conducted in football club settings. The analysis highlights the transformative potential of integrating quantitative player statistics with advanced data science and data-driven approaches in revolutionizing sports performance, enabling clubs to make informed recruitment decisions and enhance team performance. In addition, the review focuses on the impact of data analytics on transforming sports performance. The research has demonstrated that these models, specifically classification and regression models, can forecast a football player's performance score with up to 94% accuracy for forward positions.

Human-Centered Coordination for Robot-Assisted Equipment Transport

Abstract This work explores how to use an unmanned ground vehicle (UGV) to offload the physical burdens of equipment from humans. This work formulates Dynamic Alignment Following and compares it to Position-Based Following techniques. We describe the control strategies of both following methods and implement them in a dynamic simulation and a physical prototype. We test the performance of the two following methods and show that Dynamic Alignment Following can reduce robot positional error and interaction force between the human and the robot. We then analyze the energetics and the performance of the human-UGV team for candidate transportation tasks. The presence of the robot can make some tasks take longer to perform. Nonetheless, the results show that for the candidate tasks, the robot can reduce human average metabolic power and average overall task energy.

Feasibility of trauma video review for the collection of medication-related information for research and quality improvement.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Trauma video review (TVR) involves reviewing video recordings of team-based trauma response to evaluate team performance, identify improvement opportunities, and assess procedures, but the feasibility of using TVR to gather medication-related information is unknown. We aimed to assess the feasibility of using TVR for data collection of medication-related variables for research and quality improvement by comparing and describing differences between TVR and electronic medical record (EMR) review. This was an observational study of level I/II trauma patients treated between November 2022 and March 2023. Patients with video recording started within 1 minute of arrival, at least 1 medication administered, and with pharmacist participation in care were included. The number of variables able to be collected by TVR or EMR review were compared and reported in the categories of medication administration, indicators of adverse drug events (ADEs), medication errors, and communication. The numbers and types of discrepancies between data collection modalities were quantified and described. Agreement between TVR and EMR review was assessed and reported as an intraclass correlation coefficient (ICC). Twenty-five patients were included; 758 and 1,011 variables collected by TVR and EMR review, respectively. In total, 689 variables were collected by both methods, and data collection modalities matched exactly in 4 of 25 patients (16%); ICC, 0.677 (moderate level of agreement). There were 46 (6.7%) discrepancies; 84% involved communication related variables. TVR missed more variables than EMR review, mostly medication errors and inability to assess ADEs but captured more communication-related variables. TVR and EMR review together offer a greater source of medication-related information for data collection compared to either alone. EMR review collected medication administration, ADE, and medication errors variables more often than TVR and TVR was better able to collect communication-related variables. When designing studies/quality improvement efforts related to medication use during trauma resuscitation (e.g., pharmacist impact on time to administration), combined data collection modalities should be used, when available.

Revitalizing Colleague‐Specific Human Capital: Boomerang and Pipeline‐Based Hiring in a 41‐Year Multilevel Study of Employee Mobility

ABSTRACTAmidst the decline of permanent employment contracts and the rapid shortening of career cycles, organizations often face challenges in fully capitalizing on employee mobility. This study adopts a multilevel perspective to explore how mobility impacts both individual and team performance, focusing on acquiring colleague‐specific human capital through two talent acquisition strategies: boomerang hiring and pipeline‐based hiring. Using a unique Major League Baseball database spanning 41 years, including 19,927 player‐year records and 1156 team‐year records, our analysis reveals that individuals engaged in boomerang and pipeline‐based hiring and possessing higher levels of individual colleague‐specific human capital, experience greater benefits from mobility in terms of individual performance. Moreover, these hiring strategies allow organizations to effectively harness colleague‐specific human capital. Specifically, team performance is positively influenced by a greater proportion of boomerang hiring through team colleague‐specific human capital resources. Similarly, a higher ratio of pipeline‐based hiring, alongside other recurrent hiring practices, positively impacts team performance through team colleague‐specific human capital resources. Our findings provide valuable insights for organizations aiming to rejuvenate their colleague‐specific human capital resources through strategic hiring practices to achieve sustained success.

Effective Management of Multi-Cultural Construction Project Teams Issues and Strategies for Improving Team Performance

Effective Management of Multi-Cultural Construction Project Teams Issues and Strategies for Improving Team Performance