ECSS Paris 2023: OP-SH09
INTRODUCTION: Men’s tennis development and transition processes are nuanced and complex. South African (SA) men’s tennis development structures tend to focus on linear development progressions (junior to senior levels) with an emphasis on the singles format. Less is known about the doubles format as a development strategy. Collegiate tennis in the United States of America (USA) is an attractive transition pathway for SA players and is renowned for prioritizing the team environment. The purpose of this study was to explore the role of the doubles format as a developmental and transitional strategy within SA men’s tennis, with particular attention to junior development and team-based environments. METHODS: A constructivist Grounded Theory approach was employed to generate a theoretical model explaining development and transition processes in SA men’s tennis. Semi-structured interviews were conducted using purposive, theoretical, and maximum variation sampling strategies (n = 34), including players (n = 22), coaches (n = 7), parents (n = 3), and administrators (n = 2). Data were collected between 2018 and 2020 and analyzed iteratively using the constant comparison method. Augmented with this iterative process, was memoing, abductive reasoning to check data against data, refine emerging categories and generate overarching themes. RESULTS: The analysis generated a core category, Transitioning Steps, with the sub-category, Playing for a Team: The Doubles Format. Doubles emerged as an important, but underutilized developmental strategy in junior tennis. Participants expressed that the doubles format was less emphasised in the junior game but was deemed important to promote enjoyment in the sport. The dynamics of the team format encouraged motivation, alleviated pressures, enabled players to perform better, and promoted a sense of belonging to something beyond the game. CONCLUSION: These findings extend current literature on athlete development pathways by positioning the doubles format as a strategic component within long-term tennis development models, particularly during key transitional steps. Doubles emerged as a facilitator for player motivation, fostering a sense of belonging, and supporting adaptation to team-based competitive environments such as collegiate tennis. A more intentional integration of doubles within junior development structures may enhance transitional processes and offer an alternative high-performance pathway within elite tennis systems.
Read CV Deborah SkinstadECSS Paris 2023: OP-SH09
Introduction Transformational leadership (TFL) is central to understanding the psychology of effective coaching, influencing athlete motivation, satisfaction, performance and focus. However, most studies have relied on single-method, cross-sectional designs that fail to capture the complex coach (as the) leader and athlete relationship. This research applied an explicitly psychology based mixed methods design to examine how TFL behaviours relate to athlete basic psychological needs and attentional focus within the context of tennis coaching. The aim was to advance methodological and theoretical understanding through integrated and reflexive mixed methods of enquiry. Methods A three-phase exploratory sequential mixed-methods design was employed. Phase 1 involved a systematic analytical review of 47 studies mapping transformational leadership in sport and identifying conceptual fragmentation and methodological imbalance. Phase 2 comprised semi-structured interviews with 20 experienced tennis coaches, analysed reflexively to examine how transformational leadership is enacted in practice, highlighting relational authenticity, self-awareness and contextual adaptability as core psychological mechanisms. Phase 3 employed a quantitative survey of 422 tennis athletes using validated instruments (DTLI, BNSSS, MAAS), with correlation, ANOVA and mediation analyses testing relationships between perceived coach leadership behaviours, athlete need satisfaction and attentional focus. Integration across phases informed instrument selection, interpretation of quantitative relationships, and development of an emergent psychological framework. Results Integration across phases demonstrated complementary evidence of transformational leadership processes. The review established limited methodological diversity in existing work. Qualitative findings revealed how psychological awareness and emotional regulation underpin the enactment of transformational behaviours in practice. Quantitative results showed significant positive correlations between perceived coach TFL and athlete need satisfaction (r ~ 0.45) and attentional focus (r ~ 0.22). Inspirational motivation and appropriate role modelling emerged as the most influential subscales. Conclusion This multistage mixed-methods investigation provides the first fully integrated psychological analysis of TFL within a single sport context. By combining systematic, qualitative and quantitative perspectives, it advances understanding of how leadership behaviours influence athlete well-being and how these behaviours are psychologically enacted in coaching practice. The study proposes a four-phase “transformational pathway” (awareness, authenticity, alignment, action) linking mixed-methods evidence to applied coach development, leadership education and athlete support, enabling a flourishing coach-athlete leadership relationship. 1. Bass (1985), 2. Bazeley (2018), 3. Creswell (2014), 5. Jowett et al. (2019)
Read CV Claire Bruce-MartinECSS Paris 2023: OP-SH09
The growing use of big-data-driven analytics is changing how decisions are made in many fields, including sport. In talent identification, artificial intelligence (AI) and machine learning are increasingly used as decision-support tools to evaluate athletes and predict future performance. These systems combine large amounts of data from different sources, such as match statistics, video tracking, physical tests, anthropometric measures, psychological assessments, and qualitative scouting reports. Recent advances in automated broadcasting and computer vision, together with lower costs of data collection, are making these technologies accessible not only in professional sport but also in youth sport environments. Machine learning models can offer clear advantages. They allow decision makers to process complex information, adjust for contextual factors such as level of competition or team effects, and integrate subjective and objective inputs into a single analytical framework. In this sense, data-driven tools may improve consistency and support more informed evaluations. However, the use of predictive algorithms also raises important ethical concerns. Machine learning systems learn from historical data, which reflect past selection decisions, dominant performance models, and existing inequalities. As a result, these systems may unintentionally reproduce and legitimize biases rather than correct them. A key risk is digital determinism. When algorithmic predictions are treated as objective or final judgments, they may limit opportunities for athletes who do not fit established patterns of success. In youth sports, this risk is especially serious. Early data-driven evaluations may narrow developmental pathways, reduce tolerance for late development or unconventional skill sets, and discourage creativity. Strong reliance on measurable indicators that describe previously successful athletes can lead to rigid selection criteria and exclusion of diverse trajectories. Similar ethical problems have already been documented in other domains where algorithm-based decision systems are used, including education, employment, finance, and healthcare. These concerns are directly relevant to talent identification in sport. While AI and machine learning can support evaluation processes, their uncritical adoption may undermine fairness, transparency, and individual development. Therefore, the use of big data analytics in youth talent identification should proceed with caution. Clear ethical guidelines, transparency in decision-making, and meaningful human oversight are necessary to ensure that technology supports development rather than prematurely defining or restricting athletic potential.
Read CV Elia MorgulevECSS Paris 2023: OP-SH09