Successful Team Research Articles

Determinants of successful virtual teams with special reference to the information technology sector in Sri Lanka

Purpose: Technological advancements, globalization, and crisis situations have compelled society to adopt a virtual platform. In light of this scenario, the purpose of this study was to ascertain the determinants that influence the success of virtual teams in the Sri Lankan context in order to enhance the benefits of the virtual platform. Design and approach: Research study was based on quantitative approach and focused on the actual data that received from the respondents. Methodology: This was a cross-sectional study involving employees in the Information Technology (IT) sector. The data collection technique used was a structured questionnaire combined with a simple random sampling technique. Correlation and simple linear regression analysis were used to analyze the data. Findings: The research reveals that trust, leadership, and communication all have a significant positive impact on successful virtual teamwork independently, while also ensuring a positive relationship between the variables. Originality of the research: The uniqueness of this study is demonstrating how those factors contribute to the conversion of traditional teams to modern teams, thereby increasing the likelihood of the final outcome in a fruitful manner.

YOSH BASKETBOLCHILARNI KOMPLEKS TAYYORLASH: JISMONIY, TEXNIK VA TAKTIK JIHATLARNI BIRLASHTIRISH

The article describes an approach to complex training of young basketball players, which includes training in physical, technical and tactical aspects of the game. The author discuss the importance of balanced athlete development, focusing on exercise and skill development, as well as understanding tactical strategies and game situations. The approach presented in the article is aimed at creating optimal conditions for the formation of highly qualified athletes and successful team performance in competitions.

Examination of Variables Affecting Team Success in The Special Athletes Football League with the Competition Analysis Program

Examination of Variables Affecting Team Success in The Special Athletes Football League with the Competition Analysis Program

Teamship Competence

Team competency is an important aspect in achieving overall team and organizational success. This research aims to explain the concept of team competency, highlighting the importance of individual skills and collaboration in achieving optimal performance in teams. Team competencies include the skills, knowledge, attitudes, and individual characteristics that contribute to the team's ability to achieve goals effectively. Strong individual skills, such as effective communication, problem-solving abilities, good leadership, and adaptability to change, are essential in building solid team competencies. In addition, good collaboration between team members, including the ability to work together, listen, give and receive feedback, is also an important factor in achieving high team performance.

Migration Success Strategy and Implementation of Enterprise System: A Case Study on PT XYZ Biller Message Switching and Aggregator Service Merger Work From Home

Purpose – The purpose of the research is to determine the strategy for the successful implementation of Biller Message Switching and Aggregator carried out by organizations with multicultural employees during work from home conditions. Methodology – The method used in this research was a summative evaluation with the research subjects of the merger of Bank X, Bank Y, and Bank Z. Research subjects were chosen because of the success of the development team in integrating enterprise systems to support the merger process carried out during the pandemic. Results – The results of the research concluded that the ES implementation strategy during the pandemic required consistency, actively documenting each process, over-communicating, and using the appropriate SDLC method. Originality – This research conducted a thematic analysis on the process of integrating and migrating ES companies that merged during the pandemic. Contribution – This research contributes to organizations that want to integrate and migrate ES during the pandemic. For academics, research can serve as a foundation for future research in developing theories of ES implementation in virtual or pandemic environments.

Predicting digital product performance with team composition features derived from a graph network

This paper examines video games, a form of digital innovation, and seeks to predict a successful game based on the composition of game development team members. Team composition is measured with observable features generated from a graph network based on development team information derived from individual team member work on previous games. Features include network features, such as team member closeness, success percentile, and failure percentile, and non-network features, such as the number of games published prior by the studio. We propose a novel framework using these features to predict the chance of success for new games with an accuracy higher than 92%. Further, we investigate important features for prediction and provide model interpretability for practical implementations. We then build a decision support tool that allows video game producers, and associated stakeholders such as investors, to understand how the predictive model decides, predicts, and performs its recommendations. The findings have implications for those seeking to proactively impact digital product performance through graph network-generated features of team composition, where features are directly observable, as opposed to features that are more challenging to observe, such as personalities.

POLITICAL COMMUNICATION AND VOTER PARTICIPATION IN THE 2020 REGIONAL HEAD ELECTIONS IN BANGLI REGENCY

This research analyzes political communication in voter participation during the 2020 simultaneous regional head elections in Bangli Regency amidst the Covid-19 pandemic. It examines forms of political communication, underlying ideology, and implications. Using a qualitative approach, data were collected through in-depth interviews and document studies, applying theories such as persuasive communication, critical hegemony, social practice, and power-knowledge relations. Findings indicate that online political communication during the pandemic facilitated interaction between election actors and voters but had drawbacks. Issues included limited election information, outdated voter data, and inaccurate permanent voter lists. Additionally, budget constraints, insufficient personal protective equipment, and health protocol violations were significant challenges. The ideology behind political communication was the hegemony of community figures, political elites, and successful teams over voters, resulting in power-knowledge relations and transactional political practices. Elderly and disabled voters in mountainous areas were particularly marginalized. Practical findings show that online political communication limited voter references, reducing freedom in choosing candidates. Theoretical findings indicate that online political communication disrupts social interaction during Covid-19, and hegemony theory is effectively applied in the Bangli community, which practices local culture. However, power- knowledge relation theory cannot be universally applied, as traditional figures dominate voters and the central executive board determines coalitions and candidate pairs. Keywords: political communication, participation, regional elections, Bangli Regenc

Equity split evolution in entrepreneurial teams: Assessing financial contributions and human capital

ABSTRACT Proper equity splits play a vital role in the success of entrepreneurial teams, yet the literature lacks a comprehensive understanding of their evolving nature. This study addresses this gap by analyzing the dynamic and evolutionary process of equity splits using longitudinal data. Through the development of a game-theory model incorporating human-capital signals, we illuminate the impact of these factors. Utilizing data from the Kauffman Firm Survey and employing fixed- and mixed-effects modeling, we uncover significant findings. Initially, financial contributions shape equity splits, but their influence diminishes as hidden human capital gains prominence. Education attainment and work experience have no direct effect, while prior entrepreneurial experience influences the initial year but not subsequent equity resplitting. Our research offers practical insights for making informed equity-split decisions in the early and later stages of ventures. Nonetheless, it’s important to note some limitations in our research stemming from the lack of information on individual entrepreneurs’ performance within entrepreneurial teams, which could enrich the measurement of hidden human capital.

Tactical Situations and Playing Styles as Key Performance Indicators in Soccer.

The game of soccer is complex and unpredictable, demanding multifaceted strategies for success. Performance analysis has evolved, focusing on key performance indicators (KPIs) to determine the factors that most significantly influence a team's success or failure during matches. Traditional performance analysis methods have emphasized quantifiable data like physical exertion and basic play events but often neglected the subtler tactical dimensions that could significantly impact game outcomes. This study aimed to fill the gap in the current literature by creating a comprehensive framework that incorporates tactical situations as KPIs. The objective was to examine whether specific playing styles adopted by teams in various tactical situations and phases of the game could predict the outcome of matches. A dataset comprising all First Division Championship matches from 11 different European countries for the 2021-2022 season was analyzed. Variables representing tactical situations were correlated with match outcomes using a Generalized Estimating Equation framework. The model was specified with a binomial distribution and a logit link function. Statistical significance was determined using Wald χ2 tests with a significance level set at p < 0.05. The study's findings revealed that possession style, counterattacking during offensive transitions, and a balanced aggressive defensive strategy significantly increase a team's chances of victory. It also showed that successful teams tend to focus on central attacks, minimize crossing, and execute strategic plays that lead to final attempts on goal with minimal ball possession. The above findings demonstrate that adopting certain tactical approaches significantly influences soccer match outcomes, highlighting the importance of considering tactical aspects as KPIs.

Developing a Dyslexia Diagnostic Team: A Feasibility Project

Purpose: Dyslexia, a neurobiological phonological processing deficit, can be identified early; however, there is a substantial variation between and within states regarding who makes this diagnosis and when. Dyslexia evaluations are often challenging to obtain and very expensive for families who need to seek them outside of the school setting. The purpose of this study was to determine the feasibility of developing a free dyslexia diagnostic team within our university speech and hearing clinic. Method: We developed a team of academic and clinical faculty and students at the doctoral, master's, and undergraduate levels. We developed a 6-hr (1 day) testing battery and recruited families via social media. Children needed to be between the ages of 8 and 11 years and reported to have classroom difficulty related to word reading and/or spelling. Results: We were able to create a strong and successful team, testing battery, and recruitment plan. Master's students were interested in the opportunity and families drove between 246 and 453 miles to participate. We allocated enough time in our summer schedule for all parties. However, we have concerns about the sustainability of this program, especially during the academic year. Conclusions: Broadly, this dyslexia diagnostic team is a feasible endeavor. There was internal and external community interest. We identified small and solvable barriers related to debriefing and test interpretation. We also identified larger issues related to funding, faculty availability, and student support.

Performance differences and determinants of success in world men's handball championships

Abstract - Aim It is to compare performance indicators among World Men's Handball Championships, 2017, 2019 and 2021. Taking into consideration that the last one took place under pandemic restrictions, and thus affecting all stages of preparation and competition, we also investigated indicators that mostly affected the teams’ ranking. Methods: The sample consisted of sets of performance indicator variables specifically related to court player and goalkeeper efficacy, offense, defense, and punishment of all participant teams. We used the analysis of variance and the ordinary least square regression. Results: No significant differences in shots (p = 0.165, η2 = 0.046) and goals per game (p = 0.211, η2 = 0.040) were found in the last three successive world championships examined in our study. However, significant differences were found in court player efficacy at 6 m (p = 0.000, η2 = 0.226) and breakthrough (p = 0.047, η2 = 0.077) while for goalkeeper efficacy, differences were observed at 6 m (p = 0.000, η2 = 0.199), penalty (p = 0.049, η2 = 0.099) and fast break (p = 0.005, η2 = 0.132). From the set of variables related to offense, defense and punishment, significant differences were observed only for assists per game (p = 0.004, η2 = 0.134). Conclusion: The determinants of success of the top teams were the variables of court player efficacy and goalkeeper efficacy at 9 m followed by goalkeeper breakthrough efficacy, technical faults and 2-min suspensions per game.

HR bootcamp – building your dream team

Close your eyes and imagine your dream team. What does it look like? How does it function? Now recognize that that can be your reality. This presentation will go over what you need in place before assembling your dream team. We will discuss how to attract the right people and identify the team members you really want (and those you don’t) in the interview process. Effec­tive onboarding and orientation are critical for establishing your new hire as a successful team member. And then, once you get them in the place, you need to be proactive about retention.

Building a successful robotic-arm assisted orthopedic surgery program

Building a successful robotics team is a long journey with much effort before the first surgery. It starts with sound business development and, in case of acquiring a system, an implementation plan, to make it a success. The pathway to a successful Robotics program is much more than choosing the desired robotic arm-assisted surgery (RAS) brand. Success also depends on the specific pathway optimization aspects of RAS. High-over, all systems introduce the computer and robotic-arm into the operating room. But all systems have subtle, but significant, differences. An essential aspect of a successful RAS project is the implementation phase. After deciding to purchase a Robotic system, the following training and OR setup phase should be prepared and executed. When the robotic system enters the operating room, aspects like arm position using the arm board should be evaluated critically since the robot needs sufficient working space. A suboptimal positioning will disrupt the team dynamics and lead to preventable delay. RAS requires new or adjusted skills. Two crucial aspects are eye-hand-feet coordination in combination with a different focus of the surgeon (also screen instead of 100% surgery field) and new cognitive decision making features. Robotic surgery is a perfect example of how technology can change a surgical field. This data acquisition is probably the most fundamental, powerful aspect of adding the computer into the surgical process. The most used robotic-arm systems in hip and knee arthroplasty are semi-automatic systems, and practically all major orthopedic manufacturers offer a device. ORs are a highly capitalized section of hospitals, generating high costs and critical revenues. Therefore, taking a closer look at workflows, inventory management, and team efficiencies is crucial. Improving these aspects in the OR has a high return on investment. RAS helps accurately observe everything occurring within and around the surgical process. These new data opportunities open the opportunity to work with surgical data science (SDS).

Communication dynamics of a two-agent interaction model with applications to human-autonomy teaming

ABSTRACT Communication is pivotal for the emergence of coordination and cooperation within teams. As a result, communication plays an important role in team dynamics as better communication between teammates can lead to more efficient and successful teams. To better understand communication dynamics and their impact on team performance, we develop a modelling framework of two-agent interaction dynamics in a discrete-time fashion. Our proposed model considers the communications between two agents based on each agent's personality and their individual impact on any received communication. Combined with data, we perform mathematical analysis and bifurcation diagrams to study how agents' personality and training may impact the quality of the team's communications and therefore their performance in task completion. The validations and parameter estimations of our model from data could potentially help us to select team members that could work together efficiently, and train members in the established team to collaborate better.

Investigating the influence of organizational culture on team management: exploring effective factors and techniques

This qualitative research examines how organizational culture intersects with team management in the construction industry. Conducting interviews with nine experienced construction project managers and team members, we collected data using a qualitative approach. We applied content analysis to scrutinize the gathered data, addressing the central question: 'Which strategies and techniques within organizational culture are essential for efficiently managing construction teams?' Our primary objectives were to clarify the intricate relationship between organizational culture and team management and outline key strategies crucial for effective team management. Consequently, the research revealed seven fundamental factors pivotal in facilitating effective team management, each accompanied by corresponding techniques. These factors encompass team formation and composition strategy, effective communication with the project team, employee development, team members' support, empowerment and autonomy, cultivation of a collaborative culture of trust and respect, and recognition and rewards policy. This study offers crucial insights into the correlation between organizational culture and successful construction team management, identifying vital strategies and techniques to enhance productivity, cohesion, and efficiency within construction teams

Study of International Relations students’ motivation: Assessing the effectiveness of educational process management via Action Research strategy

Introduction. The article raises the problem of increasing motivation among university students in learning their major. Despite the fact that a large number of research articles are devoted to the problem of motivation, the issue of assessing the effectiveness of educational process management as one of the key factors in creating a motivating educational environment, remains insufficiently studied. The aim of this study is to determine and describe an effective strategy of intervention and external support for students majoring in “International Relations” in order to increase motivation in learning their academic major via Action Research. Materials and Methods. The methodology is based on Activity theory, person-oriented approach, educational environment assessment, literature review, project-based learning, role-plays and Action Research, as well as on quantitative, qualitative and interpretive research. An analytical review has been carried out in order to identify methods and technologies that can be used to increase motivation to educational activities. Quantitative and qualitative methods include two surveys with subsequent interpretation of the results obtained and provide the basis for developing and testing the strategy of assessing the effectiveness of educational process management. Results. The results of the surveys and their interpretation analysis have demonstrated a high level of student interest in English as a foreign language yet with an insufficient level of motivation for their major, as well as the students’ assessment of professional role-playing games as an effective and emotionally comfortable form of education. Based on Action Research and project-based learning the authors developed an action strategy, substantiated the principles of its implementation, the degree of intervention and external support while maintaining psychological comfort and the level of student autonomy. The authors found that increased involvement is also determined by the freedom to choose the focus of the project, a meaningful professional context, successful team work and effective management of the educational process. The results of the intervention helped the authors to develop recommendations for replicating and scaling up the experience gained. Conclusions. In conclusion, inferences are made about the importance of effective external management for increasing motivation among the students. It has been proven that a sufficient level of intervention in the educational process and external support allow for higher degree of engagement and motivation in learning majors. Conclusions are also made about the Action Research method as a basis for effective management of the educational process, solving didactic problems, adjusting teaching interventions and assessing the results obtained.

Interacting Barriers: How Barriers Compound Across Levels of Analysis to Affect Teams

Collaboration remains a central aspect of contemporary work and a source of emergent barriers that hinder team success. Scholarship has identified the breadth of barriers teams can face when working together and recognizes barriers as interdependent. This paper builds on this scholarship to address the types of relationships barriers can have as they interact across levels of analysis to affect teams. We draw on qualitative interview data with scientific teams to explore relationships among barriers stemming from teams’ internal processes and context. We identify common relationship patterns among barriers that can be used as a framework for analyzing complex, multi-level barrier systems affecting team outcomes. Our data highlight the importance of considering longitudinal, strategic support for targeting cross-barrier interactions when seeking to intervene in collaborations. This framework has practical application in supporting teams and creating policies that support collaborative work.

Predicting Team Success in the Indian Premier League Cricket 2024 Season Using Random Forest Analysis

Background. Random Forest is a popular machine learning algorithm used for classification and regression tasks. The study purpose is to investigate the use of Random Forest machine learning to predict the winning chances of teams in the 2024 Indian Premier League (IPL) season. Objectives. By analyzing comprehensive player statistics, including matches played, batting and bowling averages, as well as fielding contributions, the study aims to understand the factors that influence team success in T20 cricket and provide actionable insights for team management, betting markets, and cricket enthusiasts. Material and methods. The study involved 10 cricket teams competing in the IPL 2024 season. Player statistics and match outcomes data from previous IPL seasons were collected and cleaned, with missing values addressed through imputation. The features were based on player statistics, including both aggregate measures and calculated metrics. A Random Forest is chosen as the machine learning model, trained using preprocessed data, with features derived from player statistics as input and match outcomes as the target variable. The dataset was split into training and validation sets, using methodologies such as cross-validation to ensure a robust model performance. Results. The Random Forest model demonstrates strong predictive performance, with a low Mean Squared Error (MSE) of 8.2174, Root Mean Squared Error (RMSE) of 2.8666, and a high R-Squared value of 0.9173, indicating approximately 91.73% variance explained in the data. Chennai Super Kings emerge as frontrunners with a predicted performance percentage of 83.4%, while teams like Punjab Kings and Lucknow Super Giants show lower predicted performance percentages, suggesting potential areas for its improvement. Conclusions. This study reveals the effectiveness of Random Forest machine learning in forecasting IPL match outcomes based on player statistics. It provides valuable insights into team dynamics and offers actionable recommendations for team management and cricket enthusiasts. The findings enrich our understanding of IPL match dynamics, contribute to the evolution of cricket analytics, and promote greater engagement with sport, ultimately enhancing the fan experience in the IPL.

A Basketball Big Data Platform for Box Score and Play-by-Play Data.

This is the second part of a research diptych devoted to improving basketball data management in Spain. The Spanish ACB (Association of Basketball Clubs, acronym in Spanish) is the top European national competition. It attracts most of the best foreign players outside the NBA (National Basketball Association, in North America) and also accelerates the development of Spanish players who ultimately contribute to the success of the Spanish national team. However, this sporting excellence is not reciprocated by an advanced treatment of the data generated by teams and players, the so-called statistics. On the contrary, their use is still very rudimentary. An earlier article published in this journal in 2020 introduced the first open web application for interactive visualization of the box score data from three European competitions, including the ACB. Box score data refer to the data provided once the game is finished. Following the same inspiration, this new research aims to present the work carried out with more advanced data, namely, play-by-play data, which are provided as the game runs. This type of data allow us to gain greater insight into basketball performance, providing information that cannot be revealed with box score data. A new dashboard is developed to analyze play-by-play data from a number of different and novel perspectives. Furthermore, a comprehensive data platform encompassing the visualization of the ACB box score and play-by-play data is presented.

Fostering Collaborative School Improvement in Estonian Schools

This study aimed to identify the factors that foster a collaborative culture in the school improvement process. Estonian schools are characterized by a high degree of autonomy in developing the school curriculum and choosing the appropriate methods for its implementation. As a result, some schools are more successful, while others face difficulties in improving their pedagogical processes. Six Estonian schools with lower performance indicators participated in the School Improvement Program in 2021–2022. In each school, leaders and teachers formed a team together with two mentors. Supported by university experts, the school teams began working on a topic they chose to improve their students’ learning while simultaneously increasing the school’s leadership capacity by strengthening a collaborative school culture. The results of this qualitative research demonstrate that the arrangement of teamwork and the creation of shared values and goals constitute the key factors in creating a collaborative culture. Collaborative culture can be fostered by composing a stable team, developing routines for collaboration, ensuring open communication among all parties, focusing consistently on the goal, and building trust among participants. The obstacles are resistance to change, an unstable team, no routines for collaboration, a lack of communication, and no commitment to the goal. External support is important for both successful school teams and those facing challenges in the improvement process.