Competitive Team Research Articles

The Role of Emotional Intelligence in HR Leadership: Building Strong Teams in a Multigenerational

Emotional intelligence (EI) has been recognized as a crucial factor in human resources (HR) leadership, especially in building strong teams within a multigenerational work environment. This study aims to explore the role of emotional intelligence in HR leadership in addressing the challenges posed by diverse generational dynamics. Using a qualitative approach and case study method across several multinational companies, this research examines how HR leaders with high emotional intelligence can enhance team cohesion, facilitate effective communication, and manage intergenerational conflicts. The findings reveal that HR leaders with strong EI skills are better equipped to understand the emotional needs of employees across different age groups, ultimately helping to foster an inclusive and productive work environment. Leaders with high EI are also more responsive to the evolving needs of employees, from Baby Boomers to Generation Z, thus creating a flexible workplace culture that supports individual development. Challenges in applying EI in HR leadership are identified in the areas of differing values, communication styles, and expectations between generations, which can hinder team integration if not properly addressed. This study concludes that emotional intelligence is an essential competency for HR leaders to create cohesive and competitive teams within multigenerational organizations. Recommendations include developing EI training programs, adapting leadership strategies that are responsive to generational diversity, and raising awareness of the importance of EI in fostering team synergy.

Analysis of NBA player salary based on multiple linear regression model

Abstract. This study explores the use of machine learning techniques to predict NBA player salaries. Traditional salary evaluation methods often rely on subjective expert judgment, whereas data-driven approaches can provide more objective and accurate predictions. With the advancement of data analysis techniques and machine learning algorithms, it is now feasible to predict player salaries based on performance data. This study employs advanced statistical and machine learning techniques to analyze detailed player performance data, including points scored, rebounds, assists, steals, and blocks, to establish a data- and algorithm-based salary prediction model. This model can assist team management in making more scientific decisions during contract negotiations and player acquisitions, thereby avoiding the overvaluation or undervaluation of players and achieving a more balanced and fair salary distribution. Accurate salary predictions help teams allocate their limited salary cap more effectively, optimizing budget management and enhancing overall team competitiveness. This study not only demonstrates the practical value of data analysis and machine learning methods in the sports field but also promotes the further development of data science in sports management. Additionally, the results of the prediction model can provide valuable references for fans and media, enhancing their understanding of player salaries and team management strategies. This transparency enriches the overall fan experience and media coverage of the sport, facilitating more informed discussions and debates about player value and team decisions.

Technical performance differences in elite Olympic recurve archers

ABSTRACT The aim of this study was to identify technical differences in the shot cycle demonstrated by elite Olympic recurve archers in major tournaments. Participants were 30, world-ranked archers (15 men and 15 women) who competed in different World Cup series competitions in 2023. A video notational analysis system was designed, based on the shot cycle, to assess technical differences between the elite archers. For each archer, 18 shots were selected from an analysis of performance in individual or team competitions. Results showed that the execution of shot cycle phases varied among elite archers. Findings also revealed that these variations grouped into two styles of Olympic recurve archery: some displayed a common style and some a more complex style. The two styles were mainly different in movement complexity when raising the bow, loading and bow arm follow-through. In conclusion, the designed notational analysis system in recurve archery can be used by coaches and performance analysts for exploring skill adaptation of young archers in their development pathway. The observed technical differences in actions of the elite archers in this study could justify our re-definition of the ideal performance in this sport, re-directed towards skill adaptations, based on satisfying individual, environmental and task constraints.

MOTIVES AND INTERESTS OF STUDENTS IN PHYSICAL EDUCATION

The article presents the results of a study of students' motives and interests in physical education, which play a key role in forming of an active lifestyle in young people and affect their health, psychological well-being and social relationships. A literature review and an anonymous survey of 222 students from various Ukrainian higher educational institutions were conducted to identify the main reasons why young people engage in physical activity. The results of the study showed that the most significant motivations are students' desire to improve their physical condition (71.6%), improve their health (59%) and commitment to exercise (69.8%), which indicates the importance of physical education for improving physical condition and overall wellness. It is also noted that physical activity has a positive effect on psychological health, in particular, it reduces stress, improves mood and energy levels, and helps to increase self-confidence. Special attention is focused on social aspects: physical education promotes the formation of new social relationships and improves communication skills through participation in team sports and competitions. In addition, students note the impact of classes on self-realisation, discipline and self-control, which indicates their importance for personal development. Although such motives as the desire to receive positive grades (43.7%) and to build a beautiful figure (33.3%) are less significant, they also play a role in the overall motivation of students to participate in physical activities. The importance of developing effective physical education programmes aimed at satisfying the various students' requirements has been proved, which will help increase their physical activity and overall health.

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.

Pick your battles: Elite ski-jumpers’ motives affect world cup performance depending on competition type

According to motive disposition theory, athletes high in affiliation motivation should find team contexts more rewarding than individual contexts, and hence perform better in a team than in individual competitions. The opposite is predicted for athletes high in power motivation. To the best of our knowledge, this is the first study to test these hypotheses in an elite sample (here: ski jumping athletes) based on archived worldcup competition data from both individual and team competitions on the one hand, and self-reported and projectively assessed motives on the other hand. Results confirmed that even at the highest levels of professional sports, individual differences in motives show systematic relationships to competition performance. First, the negative impact of athletes' projectively assessed affiliation motive in individual competitions was significantly attenuated in team competitions, indicating that these represent more favourable conditions for athletes high in affiliation. Second, the projectively assessed power motive exhibited an overall negative relationship to performance. In contrast, self-reported achievement and affiliation motives showed a positive relationhip to performance. These findings attest to the role of personality differences in predicting motor performance variability in elite sports.

Competing against former teammates predicts team victory

The small but growing body of research on team vs. team competition focuses on predicting the winner based on multilevel factors, including the team's strength and prior relations among team members within a team. Our research demonstrates the significance and power of prior relations among members between competing teams in predicting the outcome of a contest. Leveraging data over 8 seasons of the Indian Premier League (IPL), we demonstrate the effects of competing against former teammates on a team's victory in IPL matches. If two teams, A and B, are competing in a match, and nA players from A are former teammates of players on B and nB players from B are former teammates of players on A, then if team A has smaller values of nA, it will have a competitive advantage over Team B with a higher value of nB. We call the magnitude of the difference of nA and nB the “ecosystem” factor in predicting performance. Using regression and stochastic network models, we find that the ecosystem factor significantly impacts the outcome of a match. Our findings have implications for franchise owners. While recruiting a player, franchise owners should not rely solely on the player's ability but also leverage the rivalry between former teammates.

A STUDY ON THE IMPACT OF KNOWLEDGE HETEROGENITY ON TEAM CREATIVITY

This study categorizes the knowledge heterogeneity of "Internet+" college student innovation and entrepreneurship teams into three dimensions: explicit, pseudo-hidden, and true hidden. It examines their impact on team creativity by introducing team identification as a moderating variable. We construct a theoretical model from the perspective of team collaboration, drawing on knowledge innovation theory and social identity theory. We conducted the empirical study using SPSS and AMOS software, based on questionnaire data from 136 "Internet+" college student innovation and entrepreneurship competition teams. The results show that explicit and pseudo-hidden knowledge heterogeneity has significant positive effects on team creativity, whereas true hidden knowledge heterogeneity has a negative impact. Furthermore, team identification plays different moderating roles in the relationships between pseudo-hidden, true hidden knowledge heterogeneity, and team creativity.

Analysis on the Training Path of Team Cohesion of Cheerleading Teams in Colleges and Universities

After years of development, college education has undergone significant changes. Most of the training content is to enable students to grow better, enrich the teaching content, strengthen the individual team spirit and competitiveness, which is of great significance for college students to enter the society in the future. Nowadays, cheerleading is an important part of many universities major competitions. By cultivating students team cohesion, students can have better results in the team. This paper analyzes the development history of cheerleading and focuses on the cultivation strategy of cheerleading cohesion. ??Cheerleading is a sport that has been developed in recent years. It is still in the early stage in our country, but it is favored by Chinese people. Now most universities have cheerleading operations as their main large-scale competitions. By cultivating cohesion, students sense of teamwork is improved. Cheerleading is a kind of sports and fitness program, which can not only make you happy, but also shape your physical beauty. Therefore, cheerleading integrates the movements of body cheerleading and bodybuilding cheerleading, which can show the team spirit of youth and vitality. In the training process of colleges and universities, cultivating students cohesion is the most important, which needs everyone to work together to complete. Therefore, in the teaching stage, we need to encourage students to improve their team consciousness.

Research on the Integration of Swimming Courses and Ideological and Political Education in Colleges and Universities from the Perspective of “Curriculum Ideology and Politics”

This article presents an analysis of the forms and results of integrating university swimming courses with ideological and political education, with a particular focus on the “ideology and politics of the curriculum.” The study employs questionnaires and experimental measures administered to university students to analyze the role of swimming courses in reducing anxiety levels and to discuss strategies for integrating them into ideological and political education. The findings indicate that swimming lessons have a marked effect in reducing students’ anxiety levels and enhancing their mental well-being. The incorporation of ideological and political education, including “red stories” (narratives related to the history and ideology of the Communist Party of China), team competitions, and situational learning, into the curriculum has been observed to enhance students’ patriotism, sense of social responsibility, and teamwork spirit. The study demonstrates the efficacy of integrating swimming courses with ideological and political education, providing theoretical and empirical support for the integration of physical education courses with ideological and political education in universities.

412 Awardee Talk: Implementing student-centered teaching and learning strategies in undergraduate animal science

Abstract Student-centered teaching and learning strategies enhance active engagement, foster critical thinking, and promote the practical application of knowledge gained from undergraduate animal science courses. The scholarship of teaching and learning (SOTL) has evolved within the animal science community, with a recent focus on adopting evidence-based teaching activities in college classrooms. We discuss documented SOTL approaches utilized in our program for the development of student-centered teaching and learning. In addition to traditional internships and student research projects, capstone projects utilizing a design thinking approach to solving animal industry problems have proven significantly effective. This problem-based learning program enables students to develop industry networks, understand problems within the industry, and develop creative ways to address the problems. Non-conventional and innovative designs of course assignments can foster student interest and enhance learning experiences. For example, by incorporating engaging and novel resources such as animal industry webinars and podcasts as classroom materials, instructors can reinforce course content and captivate students’ attention to the topic. Specifically, students have appreciated the opportunity to learn from experts not available locally at the university. Developing and utilizing real-world case studies exposes students to farm practices and related decision-making. Involving students in competitive team activities like the Dairy Challenge and Academic Quadrathlon contests develops marketable skills for students while training them to implement the knowledge acquired in the classrooms on a commercial farm. Field trips, short courses, and summer schools provide hands-on training opportunities, enhancing students’ exposure to the industry and opportunities after graduation. Students have identified that animal science topics are relevant beyond the classroom walls in everyday life including grocery store and kitchen, as demonstrated by a significant increase in enrollment of non-animal science major students in the animal science courses. The student-centered programs like Cross-training students in data-driven decision support tools help to develop strong day-one competency of graduates through training and networking within and outside the discipline. With the advent of new technologies and tools, training programs surrounding data management and interpretation should integrate systems knowledge across plant science, animal science, and computer science disciplines. These interdisciplinary and cross-disciplinary training activities promote the exchange of ideas while developing systems-level understanding. Furthermore, initiatives like Collaborative Online International Learning (COIL) provide students with exposure to diverse thoughts and situations, broadening their horizons and perspectives. For students not able to participate in study abroad and international programs due to time and financial constraints, COIL delivers cost-effective virtual opportunities to develop global understanding and cultural competency. By incorporating these student-centered teaching and learning strategies, undergraduate animal science programs can effectively prepare students for real-world challenges for the next generation of agriculture leaders.

Neuromuscular Load in Professional Women's Handball: Segmentation of the Player Load and the Impacts at Group and Individual Level.

Handball is a team sport characterised by physical interaction with other opponents. This interaction produces a high load on the players that can manifest itself in various ways, from discomfort to prolonged injuries due to tears caused by excessive load. In order to establish correct protocols for application in women's teams, context- and gender-specific reference data must be available. For this reason, the present research aims to find out how women's teams in European competitions prepare for decisive matches during the match week, analysing the load in a segmented way and the level of specificity that should be achieved in training. Ex post facto research was used in which a total of 17 players belonging to a women's first division handball team in Spain participated. The variables player load and impacts extracted from the use of Wimu ProTM inertial devices were analysed. The results showed a high neuromuscular load in players at this competitive level, especially in the variable impacts, reaching values per session of up to 1000 impacts. The individuality analyses show that the load varies significantly depending on the subject, which is why it is considered essential to establish protocols for strength work and load control in the most specific way possible.

Exploring the relationship between coach-initiated motivational climate and athlete well-being, resilience, and psychological safety in competitive sport teams

Exploring the relationship between coach-initiated motivational climate and athlete well-being, resilience, and psychological safety in competitive sport teams

Physiological Demands of Competitive Collegiate Dance.

Seifert Gonzales, AM and Stenson, MC. Physiological demands of competitive collegiate dance. J Strength Cond Res 38(9): e503-e509, 2024-Competitive collegiate dance combines elements of gymnastics and acrobatics with more traditional styles, such as ballet, jazz, and modern dance. Assessing the physiological demands and identifying clear measures of intensity and duration of such dance provide a framework for planning the competitive season and developing strength and conditioning programs. This study examined the blood lactate (BL), heart rate (HR), and ratings of perceived exertion (RPE) of 14 well-trained female dancers on a competitive collegiate dance team. Subjects completed a treadmill test to determine their lactate threshold (LT) and then performed a 120-second choreographed jazz dance routine in cumulative 30-second segments, during which physiological markers were measured. All subjects exceeded their individually determined LT values by 90 seconds into the dance routine. A moderate (rs = 0.53; p < 0.001) positive correlation was observed between HR and RPE, as was a strong (rs = 0.70; p < 0.001) positive correlation between BL and RPE. Subjects worked at or above LT for much of the 120-second jazz dance routine, indicating that competitive collegiate dance is physiologically demanding and highly anaerobic. Understanding the physiological demands of competitive collegiate dance allows strength and conditioning professionals to develop, monitor, and adjust training parameters, which will aid in minimizing injury and maximizing competitive performance in collegiate dancers.

Dual pathways to high performance: Team achievement goals, cooperation, and competition in elite sports teams

High performance is a key priority for elite sports teams. With this study, we investigate the performance of interdependent elite youth sports teams in relation to team achievement goals and within-team cooperation and competition, generically defined as teams’ shared perception of the extent to which team members engage in cooperative or competitive behaviors. Integrating achievement goal theory and social interdependence theory, we propose that team mastery goals (teams’ collective pursuit of learning and development) relate to within-team cooperation and that team performance goals (teams’ shared focus on winning and demonstrating competence) relate to within-team competition. Next, we propose that within-team cooperation facilitates team performance and explore the link between within-team competition and team performance. After the winter break, 289 players from 42 elite field hockey teams completed online survey questions about team achievement goals, cooperation, and competition. Team performance was represented by teams’ end-of-season point totals. Multilevel path modeling suggests dual pathways to team performance: (1) The more teams fostered team mastery goals, the more cooperative team members’ interactions were and the better the teams performed, and (2) the more teams fostered team performance goals, the more competitive the interactions among team members were and the better the teams performed. We tentatively interpret this dual pattern from the perspective of high-level interdependent youth sports teams as “coopetitive” environments, where teams traditionally focus on learning and development and where baseline levels of cooperation are high, creating conditions in which cooperation and some degree of competition can coincide and jointly contribute to team performance.

THE RIGHT TO RIDE: AN ETHNOGRAPHY OF AN URBAN AND MARGINAL PRACTICE

This text discusses structural aspects of the practice of roller-cart, based on an ethnography conducted in the Metropolitan Region of Belo Horizonte between 2019 and 2022. Initial impressions indicated that the roller-cart movement, with competition teams, associations and event organizers in the city, was a large and coordinated action of a cohesive group of people around the same purpose. With a dense and prolonged stay in the field, I found a movement marked by disputes, interests and multiple appropriations that limit, at the same time as they shape, a community of practice that emerges from a collective, urban and marginal construction. In this sense, this text highlights three structural aspects of the practice of roller-cart: the participation of women in events, based on the notion of the sexed city by Michele Perrot; the territorial disputes of these groups with the orders of the State and Capital, from the perspective of the city as a right, by Henri Lefebvre; and the search for legitimacy of a marginalized practice, through the prism of consumption as a constituent of identities, according to Michel de Certeau. Thus, men and women, adults and children, participate, constitute, and are constituted by a polysemic, contradictory, and essentially situated practice.

A spectral approach for the dynamic Bradley–Terry model

SummaryThe dynamic ranking, due to its increasing importance in many applications, is becoming crucial, especially with the collection of voluminous time‐dependent data. One such application is sports statistics, where dynamic ranking aids in forecasting the performance of competitive teams, drawing on historical and current data. Despite its usefulness, predicting and inferring rankings pose challenges in environments necessitating time‐dependent modelling. This paper introduces a spectral ranker called Kernel Rank Centrality, designed to rank items based on pairwise comparisons over time. The ranker operates via kernel smoothing in the Bradley–Terry model, utilising a Markov chain model. Unlike the maximum likelihood approach, the spectral ranker is nonparametric, demands fewer model assumptions and computations and allows for real‐time ranking. We establish the asymptotic distribution of the ranker by applying an innovative group inverse technique, resulting in a uniform and precise entrywise expansion. This result allows us to devise a new inferential method for predictive inference, previously unavailable in existing approaches. Our numerical examples showcase the ranker's utility in predictive accuracy and constructing an uncertainty measure for prediction, leveraging data from the National Basketball Association (NBA). The results underscore our method's potential compared with the gold standard in sports, the Arpad Elo rating system.

Penggunaan Algoritma Gaussian Naïve Bayes &amp; Decision Tree Untuk Klasifikasi Tingkat Kemenangan Pada Game Mobile Legends

The development of technology and the internet has increased the popularity of online games, such as Mobile Legends. However, in competitions, players often experience defeat due to various factors, including player skills, team strategies, and the right hero selection. The right hero selection is very important to increase the chances of winning. Therefore, the Mobile Legends Professional League (MPL) has become a focus for competitive teams around the world. This study aimed to determine the classification of victory in MPL matches based on draft pick. Gaussian Naïve Bayes and Decision Tree were used as classification algorithm models in this study. The process in this study included cleaning data, data transformation (labeling), handling imbalanced data, scaling, splitting, and hyperparameter. The evaluation stage used confusion matrix, correlation data, and AU-ROC curve. The results of this study showed that the Decision Tree method had better performance than Gaussian Naïve Bayes in classifying data using the confusion matrix. The AUC (area under the receiver operating characteristic curve) analysis showed that the decision tree had better performance than Gaussian naive Bayes in predicting positive and negative data. This is indicated by the higher AUC value for the Decision Tree, which is 0.67 compared to Gaussian Naïve Bayes which is 0.48. Classification models with higher AUC values can more accurately distinguish between positive and negative data. In this study, the Decision Tree had a higher AUC value than Gaussian Naïve Bayes so the Decision Tree could more accurately classify victory and defeat data.

Silo mentality in teams: emergence, repercussions and recommended options for change

PurposeThis article summarizes practitioner observations on three research questions. First, the factors that lead to the emergence and persistence of such teams. Second, the repercussions of siloed teams. And third, practical suggestions and recommendations that practitioners can employ to prevent silo formation or address existing silos. This article thus complements recent academic work that has previously explored the formation of silos.Design/methodology/approachThe authors used the input of current team leads from a focus group along with their consulting experience to explore these three research questions. The team lead input and consulting expertise are integrated with academic research on silos.FindingsThe emergence and persistence of silos was mostly attributed to company characteristics (size, growth and stakeholder management) as well as communication inefficiencies (lack of role clarity and ownership within teams), which in turn were impacted by situational variables (pandemic and turnover). The authors noted the effect of team composition effects, team competition and organizational changes (rapid growth and restructuring) as potential contributors to the formation and persistence of silos. The team lead experts and our consulting experiences were congruent with the literature focused on repercussions of silos, from poor information exchanges to inefficiencies, divisions and perceived isolation of teams from the organization. Solutions focused on project organization and documentation as well as the adoption of new decision-making tools and practices, and the creation of more exchange and learning opportunities. The authors added additional options to promote more visibility, appreciation, proactive monitoring within teams and organizational identification initiatives.Originality/valueThe current article adds a pragmatic perspective to silos and how organizations can address these when they become problematic and hinder performance and collaboration.

Development of a method of forecasting the results of the performances of athletes and teams in sports competitions

The object of the research is the task of forecasting the results of the performances of athletes and/or teams in competitions. The expediency of solving the problems of long-term forecasting in sports activities has been determined. A comparative analysis of the mathematical methods used to predict the results of sports competitions was conducted. The groups of mathematical methods that, according to the results of the comparative analysis, are determined to be the most suitable for solving the problems of long-term forecasting of the performance results of athletes and/or teams are highlighted. The theoretical and applied relevance of solving similar problems is substantiated. Machine learning methods and methods based on Bayesian models were chosen as the main research methods. The peculiarities of the use of these methods when solving the problem of long-term prediction of performance results are determined. Bayesian estimates of the probability of success and failure of an athlete's performance at a competition are proposed. A method for solving the problem of long-term prediction of performance results has been developed, which combines the advantages of machine learning methods and methods based on Bayesian models. In contrast to the practices of solving the forecasting problem existing in Ukraine, the developed method allows taking into account not only historical information about competitions that took place before, but also information about future types of competitions. The experimental verification of the obtained scientific results was carried out while solving the problem of forecasting the results of athletes' performances in World Cup competitions for the Federation of Underwater Sports and Underwater Activities of Ukraine. The purpose of solving this problem is to increase the efficiency and determine the priority of athletes in the next competitions of this type. The course and results of solving the problem for the leading athletes of the Federation of Underwater Sports and Underwater Activities of Ukraine were considered.