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Journal articles on the topic 'Sport analytics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Cho, Minseok, Michael Cottingham, Billy Hawkins, and Don Lee. "Sport Analytics Business: Exploring Fan Engagement on Analytical Content." IJASS(International Journal of Applied Sports Sciences) 35, no. 2 (2023): 201–14. http://dx.doi.org/10.24985/ijass.2023.35.2.201.

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With the emerging trend of technological advancement in sport media production, sport analytics has provided fan-oriented game contents through multimedia platforms. This study aims to empirically investigate sport fans’ perceptions toward sport analytics contents (i.e., statistics, video, data visualization, decision-aid) by exploring their impact on fan engagement (i.e., information, entertainment, personal identity, social interaction) and employing the uses and gratifications theory. Using multiple regressions, this study found that sport fans are more likely to consume statistics and vide

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Szymanski, Stefan. "Sport Analytics: Science or Alchemy?" Kinesiology Review 9, no. 1 (2020): 57–63. http://dx.doi.org/10.1123/kr.2019-0066.

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Sport analytics promises to use Big Data and sophisticated statistical methods to identify effective strategies in sports—“the Moneyball moment.” However, much like alchemy, sport analytics is characterized by opacity and secrecy, and outside of baseball, evidence of success that would meet the usual scientific criteria is limited. An example is used to demonstrate that quite simple models can match more complex ones in terms of prediction. Like alchemy, sport analytics can deliver important advances in our understanding, but some problems need to be addressed. These include the need to incorp

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Houtmeyers, Kobe C., Arne Jaspers, and Pedro Figueiredo. "Managing the Training Process in Elite Sports: From Descriptive to Prescriptive Data Analytics." International Journal of Sports Physiology and Performance 16, no. 11 (2021): 1719–23. http://dx.doi.org/10.1123/ijspp.2020-0958.

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Elite sport practitioners increasingly use data to support training process decisions related to athletes’ health and performance. A careful application of data analytics is essential to gain valuable insights and recommendations that can guide decision making. In business organizations, data analytics are developed based on conceptual data analytics frameworks. The translation of such a framework to elite sport may benefit the use of data to support training process decisions. Purpose: The authors aim to present and discuss a conceptual data analytics framework, based on a taxonomy used in bu

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Mumcu, Ceyda, and Gil Fried. "Analytics in Sport Marketing." Sport Management Education Journal 11, no. 2 (2017): 102–5. http://dx.doi.org/10.1123/smej.2016-0019.

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Özgüven, Yavuz, Utku Gönener, and Süleyman Eken. "A Dockerized big data architecture for sports analytics." Computer Science and Information Systems, no. 00 (2022): 10. http://dx.doi.org/10.2298/csis220118010o.

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The big data revolution has had an impact on sports analytics as well. Many large corporations have begun to see the financial benefits of integrating sports analytics with big data. When we rely on central processing systems to aggregate and analyze large amounts of sport data from many sources, we compromise the accuracy and timeliness of the data. As a response to these issues, distributed systems come to the rescue, and the MapReduce paradigm holds promise for large scale data analytics. We describe a big data architecture based on Docker containers with Apache Spark in this paper. We eval

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Wanless, Liz A., and Michael Naraine. "Sport Analytics Education for Future Executives, Managers, and Nontechnical Personnel." Sport Management Education Journal 15, no. 1 (2021): 34–40. http://dx.doi.org/10.1123/smej.2019-0070.

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Successfully adopting sport business analytics to enhance organization-wide business processes necessitates a combination of business acumen, modeling expertise, personnel coordination, and organizational support. Although the development of technical skills has been well mapped in analytics curricula, informing future leadership and affiliated nontechnical personnel about the sport business analytics process, specifically, remains a gap in sport management curricula. This acknowledgment should compel sport management programs to explore strategies for sport analytics training geared toward th

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de la Torre, Rocio, Laura O. Calvet, David Lopez-Lopez, Angel A. Juan, and Sara Hatami. "Business Analytics in Sport Talent Acquisition." International Journal of Business Analytics 9, no. 1 (2022): 1–20. http://dx.doi.org/10.4018/ijban.290406.

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Recruitment of young talented players is a critical activity for most professional teams in different sports such as football, soccer, basketball, baseball, cycling, etc. In the past, the selection of the most promising players was done just by relying on the experts’ opinion, but without a systematic data support. Nowadays, the existence of large amounts of data and powerful analytical tools have raised the interest in making informed decisions based on data analysis and data-driven methods. Hence, most professional clubs are integrating data scientists to support managers with data-intensive

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Watanabe, Nicholas M., Stephen Shapiro, and Joris Drayer. "Big Data and Analytics in Sport Management." Journal of Sport Management 35, no. 3 (2021): 197–202. http://dx.doi.org/10.1123/jsm.2021-0067.

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Big data and analytics have become an essential component of organizational operations. The ability to collect and interpret significantly large data sets has provided a wealth of knowledge to guide decision makers in all facets of society. This is no different in sport management where big data has been used on and off the field to guide decision making across the industry. As big data evolves, there are concerns regarding the use of enhanced analytic techniques and their advancement of knowledge and theory. This special issue addresses these concerns by advancing our understanding of the use

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Stuart, Morgan. "Computer Science in Sport – Research and Practice: A book review." International Journal of Computer Science in Sport 15, no. 1 (2016): 59–63. http://dx.doi.org/10.1515/ijcss-2016-0004.

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Abstract Sports informatics and computer science in sport are perhaps the most exciting and fast-moving disciplines across all of sports science. The tremendous parallel growth in digital technology, non-invasive sensor devices, computer vision and machine learning have empowered sports analytics in ways perhaps never seen before. This growth provides great challenges for new entrants and seasoned veterans of sports analytics alike. Keeping pace with new technological innovations requires a thorough and systematic understanding of many diverse topics from computer programming, to database desi

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Fister, Dušan, Iztok Fister, and Iztok Fister Jr. "Deep Analytics in Sport Community Forums." International Journal of Advanced Pervasive and Ubiquitous Computing 10, no. 2 (2018): 18–37. http://dx.doi.org/10.4018/ijapuc.2018040102.

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In recent years, some sport clubs have adopted web forums for online discussions about planning training sessions, races, club problems, sponsors and supporters, equipment and so on. Mostly, these forums are closed, because some discussions about critical information must be permitted only to registered club members. Indeed, various members are connected into a network representing a forum community that participates in forming the internal structure of a club and has taken an increasingly important role in solving the club affairs. This has influenced the classic way of doing business with me

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Shreffler, Megan B. "Sport Analytics: A Data-Driven Approach to Sport Business and Management." International Journal of Sport Communication 10, no. 3 (2017): 421–22. http://dx.doi.org/10.1123/ijsc.2017-0069.

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Deepa, Dr M., Kishore R, Vibin S, and Abhishek A. "REAL TIME SPORT ANALYSIS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem39894.

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The integration of Artificial Intelligence (AI) in sports has revolutionized how games are analyzed and strategies are formulated. This project focuses on developing a real-time sports analysis system powered by AI to provide comprehensive insights into player performance, team dynamics, and game strategy. The system leverages computer vision techniques to process live video feeds, extracting key metrics such as player positions, movements, and interactions on the field. Deep learning models, trained on historical game data, are used for predictive analytics, enabling the identification of pat

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Lakshmi, Ponnusamy Yoga, Swamynathan Sanjaykumar, Maniazhagu Dharuman, and Aarthi Elangovan. "Using Support Vector Regression Kernel Models for Cricket Performance Prediction in the Womens Premier League 2024." Physical Education Theory and Methodology 24, no. 1 (2024): 72–78. http://dx.doi.org/10.17309/tmfv.2024.1.09.

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Background. The interest in women’s premier league cricket has caused the need for advanced analytics to understand the multifaceted dynamics of the sport. Study Purpose. This study aimed to contribute to sports analytics by assessing the efficacy of Support Vector Regression (SVR) kernel models in predicting the most valuable player. Such research methods as ANOVA, Bessel function, and Inverse MultiQuadratic kernel application have been deliberately chosen for their diverse mathematical approaches, aligning with the nuanced intricacies of women's premier league cricket. Materials and methods.

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Keys, Georgia, Lisa Ryan, Maria Faulkner, and Michael McCann. "Workload Monitoring Tools in Field-Based Team Sports, the Emerging Technology and Analytics used for Performance and Injury Prediction: A Systematic Review." International Journal of Computer Science in Sport 22, no. 2 (2023): 26–48. http://dx.doi.org/10.2478/ijcss-2023-0008.

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Abstract Training load (TL) is frequently documented among team sports and the development of emerging technology (ET) is displaying promising results towards player performance and injury risk identification. The aim of this systematic review was to identify ETs used in field-based sport to monitor TL for injury/performance prediction and provide sport specific recommendations by identifying new data generation in which coaches may consider when tracking players for an increased accuracy in training prescription and evaluation among field-based sports. Data was extracted from 60 articles foll

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Dai, Jinyu, Kunyan Hu, and Ding Zhang. "Research on Professional Tennis Performance Metrics Based on Random Forest and Analytic Hierarchy Process Algorithms." Academic Journal of Science and Technology 12, no. 1 (2024): 324–28. http://dx.doi.org/10.54097/7msdn403.

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Understanding the dynamics of player performance in professional tennis, particularly how quantifiable metrics such as momentum influence match outcomes, is crucial for advancing sports analytics and enhancing coaching strategies. This study investigates performance metrics and momentum in professional tennis. The research introduced an innovative method of quantifying "momentum" in the sport, analyzing its impact alongside other performance indicators. We applied the Analytic Hierarchy Process (AHP) to determine the relative importance of various performance factors, revealing technical skill

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Vītoliņš, Karlis, Andra Fernāte, and Atis Kovaļovs. "MEANING OF SPORT MONITORING AND ITS DEVELOPMENT TENDENCIES." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 2 (May 22, 2024): 774–82. http://dx.doi.org/10.17770/sie2024vol2.7908.

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The earliest research on analytics in sports dates back to 1912 with the work by Hugh Fullerton on the correlation between baseball player hits, throws, and catching techniques, and success in the game. Nowadays with equally high technological and financial availability, the efficiency of the training process becomes more relevant. A well-organized and managed training process, combined with high technology and financial accessibility, will be the determining factor for successful performance. Research aim: to compare and analyse the meaning of sport monitoring and its development tendencies.

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Sellitto, Carmine, and Paul Hawking. "Enterprise Systems and Data Analytics." International Journal of Enterprise Information Systems 11, no. 3 (2015): 1–12. http://dx.doi.org/10.4018/ijeis.2015070101.

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In sport there has been a reluctance to adopt new forms of technology unless it is associated with improving performance. However, in recent times, professional sport bodies have commenced using enterprise systems and data analytics for off-field activities. The authors use a case study approach in the paper to document the manner in which the National Football League (NFL) made available its vast array of historical and contemporary data to Fantasy Football participants through the adoption of an enterprise system that included in-memory processing and data analytics capabilities. Through a n

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Passfield, Louis, and James G. Hopker. "A Mine of Information: Can Sports Analytics Provide Wisdom From Your Data?" International Journal of Sports Physiology and Performance 12, no. 7 (2017): 851–55. http://dx.doi.org/10.1123/ijspp.2016-0644.

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This paper explores the notion that the availability and analysis of large data sets have the capacity to improve practice and change the nature of science in the sport and exercise setting. The increasing use of data and information technology in sport is giving rise to this change. Web sites hold large data repositories, and the development of wearable technology, mobile phone applications, and related instruments for monitoring physical activity, training, and competition provide large data sets of extensive and detailed measurements. Innovative approaches conceived to more fully exploit th

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Lotfi, Said, and Mohamed Rebbouj. "Machine Learning for sport results prediction using algorithms." International Journal of Information Technology and Applied Sciences (IJITAS) 3, no. 3 (2021): 148–55. http://dx.doi.org/10.52502/ijitas.v3i3.114.

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This paper describes the use of machine learning in sports. Given the recent trend in Data science and sport analytics, the use of Machine Learning and Data Mining as techniques in sport reveals the essential contribution of technology in results and performance prediction. The purpose of this paper is to benchmark existing analysis methods used in literature, to understand the prediction processes used to model Data collection and its analysis; and determine the characteristics of the variables controlling the performance. Finally, this paper will suggest the reliable tool for Data mining ana

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Bai, Xuesong. "Physical Education and Sports Training: Leisure Sports." International Journal of Innovative Science and Research Technology 6, no. 6 (2022): 15. https://doi.org/10.5281/zenodo.7219962.

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Big data analytics is a modern approach to analyzing information that has significantly inflected critical societal practices. There have been sign incant inefficiencies in harmonizing information and data collected within different spectrums and hence a lack of effective decision making, especially when it comes to identifying key strategies to be implemented in improving performance. The sporting industry is one of the biggest affected industries by this inefficiency. Wheel, there are various platforms through which information can be collected within the industry to make key decisions. Ther

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Mănescu, Dan Cristian. "Big Data Analytics Framework for Decision-Making in Sports Performance Optimization." Data 10, no. 7 (2025): 116. https://doi.org/10.3390/data10070116.

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The rapid proliferation of wearable sensors and advanced tracking technologies has revolutionized data collection in elite sports, enabling continuous monitoring of athletes’ physiological and biomechanical states. This study proposes a comprehensive big data analytics framework that integrates data acquisition, processing, analytics, and decision support, demonstrated through synthetic datasets in football, basketball, and athletics case scenarios, modeled to represent typical data patterns and decision-making workflows observed in elite sport environments. Analytical methods, including gradi

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Dr. Bharatkumar Chaudhari and MS. Dharti Savani. "Study of Sports Analytics in Making Strategies in Sports: A Meta-Analysis." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 2 (2025): 206–9. https://doi.org/10.32628/ijsrset25122117.

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This case study was an exploration of how players, sport coaches and teachers use analysis to improve performance and making strategies in any sports. The study helped to reveal the usage of performance analysis and its perceived advantages and barriers. The study helped to determine frameworks for practical use by professional players and coaches. Data revealed a lack of use due to the lack of understanding of how to use performance analysis to improve sports performance as well as making strategies in sports. Professional development remains a high need in education and the study revealed se

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Cassilo, David, and Jimmy Sanderson. "“They Hired a Baseball Guy”: Media Framing and Its Influence on the Isomorphic Tendencies of Organizational Management in Professional Football." International Journal of Sport Communication 10, no. 3 (2017): 290–306. http://dx.doi.org/10.1123/ijsc.2017-0034.

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Many professional sport franchises have undergone shifts in talent evaluation strategies by moving to analytic and data-driven approaches. However, National Football League (NFL) franchises have been resistant to fully embrace the analytical model, as NFL organizational management structures tend to be isomorphic. In 2016, the Cleveland Browns initiated an ideological break from this system by hiring “moneyball” guru Paul DePodesta, a move that signaled a shift to an analytics-based model in organizational management. A textual analysis of 120 online media articles was carried out to determine

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Hoeber, Orland, Larena Hoeber, Maha El Meseery, Kenneth Odoh, and Radhika Gopi. "Visual Twitter Analytics (Vista)." Online Information Review 40, no. 1 (2016): 25–41. http://dx.doi.org/10.1108/oir-02-2015-0067.

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Purpose – Due to the size and velocity at which user generated content is created on social media services such as Twitter, analysts are often limited by the need to pre-determine the specific topics and themes they wish to follow. Visual analytics software may be used to support the interactive discovery of emergent themes. The paper aims to discuss these issues. Design/methodology/approach – Tweets collected from the live Twitter stream matching a user’s query are stored in a database, and classified based on their sentiment. The temporally changing sentiment is visualized, along with sparkl

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Ruiz Vanoye, Jorge A., Ocotlán Díaz-Parra, Alejandro Fuentes-Penna, and Ricardo A. Barrera-Cámara. "Enhancing Performance and Well-being in the Sports Industry through Smart Sport Psychology." International Journal of Combinatorial Optimization Problems and Informatics 16, no. 2 (2025): 1–16. https://doi.org/10.61467/2007.1558.2025.v16i2.1059.

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This paper proposes the definition of Smart Sport Psychology as the integration of advanced technologies, such as artificial intelligence (AI), machine learning and the Internet of Things (IoT), along with other emerging technologies, into the principles and practices of sport psychology. This approach uses smart devices, data analytics and virtual reality technologies to optimise athletes' mental and physical performance, personalise psychological interventions and improve athletes' overall well-being. Through a comprehensive literature review, we explore how these technologies can address co

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Kowalski, Wojciech Szymon. "Entrepreneurship in Sport: Sport in Business, Using Professional Football as an Example." Studia Historiae Oeconomicae 40, no. 2 (2022): 21–52. http://dx.doi.org/10.14746/sho.2022.40.2.002.

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The issue of entrepreneurship in sports joins the more general trend of catching up with the long Renaissance period of “reflecting” on the character of the professional sportsman (athlete), so peculiarly overlooked, and one of the main protagonists of the culture of antiquity, alongside the artist or philosopher. The author of the article adopts the convention of the ‘corporate athlete’, for which he sees a contemporary exemplification in football, the most popular sport. The examples cited from the economic history of football, preceded by an outline of the basic categories of entrepreneursh

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Liu, Runze, Taiting Lu, Shengming Yuan, Hao Zhou, and Mahanth Gowda. "SmartDampener: An Open Source Platform for Sport Analytics in Tennis." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, no. 3 (2024): 1–30. http://dx.doi.org/10.1145/3678507.

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In this paper, we introduce SmartDampener, an open-source tennis analytics platform that redefines the traditional understanding of vibration dampeners. Traditional vibration dampeners favored by both amateur and professional tennis players are utilized primarily to diminish vibration transmission and enhance racket stability. However, our platform uniquely merges wireless sensing technologies into a device that resembles a conventional vibration dampener, thereby offering a range of tennis performance metrics including ball speed, impact location, and stroke type. The design of SmartDampener

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Binsaeed, Rima H., Adriana Grigorescu, Zahid Yousaf, Florin Radu, Abdelmohsen A. Nassani, and Alina Iuliana Tabirca. "Harnessing Big Data Analytics to Accelerate Innovation: An Empirical Study on Sport-Based Entrepreneurs." Sustainability 15, no. 13 (2023): 10090. http://dx.doi.org/10.3390/su151310090.

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The emergence of advanced technologies brings various opportunities for all kinds of business organizations. This topic was selected for research and discussion to figure out the possible impacts of using the ever-increasing development of digitalization, big data analytic capabilities (BDACs) and innovation in the field of sport-based entrepreneurship, which is the main pillar for the economic wellbeing, development and growth of sport activities. This study highlights the function of the BDAC of entrepreneurs in the acceleration of their readiness and innovation activities. Beyond the direct

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Ráthonyi, Gergely, Éva Bácsné Bába, Anetta Müller, and Kinga Ráthonyi-Ódor. "How Digital Technologies Are Changing Sport?" Applied Studies in Agribusiness and Commerce 12, no. 3-4 (2018): 89–96. http://dx.doi.org/10.19041/apstract/2018/3-4/10.

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Sports is considered to be an outstanding sector of industry all over the world and can be defined in various fields from business point of view: for example competitive sports, recreation, fitness and entertainment (running commentary). All of these areas have been remarkably transformed by digital technology. Over the past three decades, the discipline sport informatics has become a growing discipline. In today’s connected world, the use of wearable technology, big data analytics, social media and sensor technology have revolutionized the way sports are played, analyzed and improved. Through

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Choi, Hyongjun, and Ruofei Du. "Critical Reviews of NBA Official Data based on Sport Analytics." J-Institute 7, no. 1 (2022): 68–76. http://dx.doi.org/10.22471/kinesiology.2022.7.1.68.

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Sutton, William A., Timothy L. Urban, Michael Troilo, Adrien Bouchet, and Michael Mondello. "Business analytics, revenue management, and sport: evidence from the field." International Journal of Revenue Management 11, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijrm.2020.10032774.

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Bouchet, Adrien, Mike Troilo, Timothy L. Urban, Michael Mondello, and William A. Sutton. "Business analytics, revenue management and sport: evidence from the field." International Journal of Revenue Management 11, no. 4 (2020): 277. http://dx.doi.org/10.1504/ijrm.2020.110634.

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Jiang, Yuhan, and Jirakrit Leelarungrayub. "Data analytics on anxiety and sport performance: A bibliometric tool." International Journal of Sports, Health and Physical Education 7, no. 1 (2025): 166–74. https://doi.org/10.33545/26647559.2025.v7.i1c.194.

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Krizkova, Sarka, Hana Tomaskova, and Erfan Babaee Tirkolaee. "Sport Performance Analysis with a Focus on Racket Sports: A Review." Applied Sciences 11, no. 19 (2021): 9212. http://dx.doi.org/10.3390/app11199212.

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Athletes, both professional and amateur, are always looking for ways to improve their performance. With the introduction and increasing availability of modern technologies and smart devices arose the need to measure and analyze performance, but likewise, the use of these innovations as a competitive advantage also arose. Scientific publications reflect the wide range of available approaches and technologies, as well as the growing interest in various sports. As a result, we concentrated on a systematic review of publications that presented performance analysis tools and methods in all sports,

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Shukurova, Sayyora, Mavlyuda Pulatova, and Taxir Adilbekov. "AI-Driven Gamification and Biotechnical Systems in Cardiovascular Monitoring of Cyclic Sport Athletes." SHS Web of Conferences 216 (2025): 02005. https://doi.org/10.1051/shsconf/202521602005.

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In this technologically advanced era, biotechnical systems and gamification have emerged as a possible prescription in the AI-driven cardiovascular monitoring of cyclic sport athletes. Scholars have noted that artificial intelligence is transforming the diagnostics, performance assessment, and the adaptive training, injury prevention, and real-time monitoring of athletes across the sports industry. The paper attempts to move forward research in biotechnical systems and gamification from traditional sports medicine, athlete conditioning, and exercise physiology contexts to emerging AI-enhanced

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Schneider, Robert C., and Jerzy Kosiewicz. "Robert Charles Schneider as a Proud Director of one of the First and Finest Higher Education Sport Management Programs in USA and World." Physical Culture and Sport. Studies and Research 76, no. 1 (2017): 64–70. http://dx.doi.org/10.1515/pcssr-2017-0030.

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AbstractThis is the sixth article of the cycle of portraits of the members of the Editorial Board and Editorial Advisory Board of the journal Physical Culture and Sport. Studies and Research. These members are social scientists who research the issue of sport. Among them, there are many world-class professors, rectors, and deans of excellent universities, founders, presidents, and secretaries-general of continental and international scientific societies and editors of high-scoring journals related to social sciences focusing on sport. The idea of presenting portraits of individual editors of o

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Ma, Xiaofei, Xuan Liu, Xinxing Li, and Yunfei Ma. "Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports." Electronics 10, no. 19 (2021): 2322. http://dx.doi.org/10.3390/electronics10192322.

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With the rapid development of the Internet of Things (IoTs), big data analytics has been widely used in the sport field. In this paper, a light-weight, self-powered sensor based on a triboelectric nanogenerator for big data analytics in sports has been demonstrated. The weight of each sensing unit is ~0.4 g. The friction material consists of polyaniline (PANI) and polytetrafluoroethylene (PTFE). Based on the triboelectric nanogenerator (TENG), the device can convert small amounts of mechanical energy into the electrical signal, which contains information about the hitting position and hitting

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Pierce, David, and Geoffre Sherman. "Using Data Analytics to Create a Digital Strategy That Drives Engagement and Views on Social Media." Case Studies in Sport Management 9, S1 (2020): S9—S12. http://dx.doi.org/10.1123/cssm.2019-0028.

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Students are placed into a consulting role with SPT, a sport marketing agency hired to help a sports organization create a new strategy for video content creation on social media. Students are provided a large data set in Tableau with analytics that hold the key to increasing the team’s engagement and views of videos on social media. Can your students find the insights in the data to drive a new video strategy for social media? Can they turn those insights into a creative content plan that will engage and win fans in the future? Students will have the opportunity to demonstrate creativity and

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Patel, Rakshit. "Insights of the Olympics: Athens to Rio." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1893–901. http://dx.doi.org/10.22214/ijraset.2021.37688.

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Abstract: The Olympics is one of the eye-catching platforms for the sports community as well as sports’ lovers in the 21st Century. Sports also adopted the marvelous advancements that took place in vivid fields of technologies. In this modern era of analytics, every category demands prior research before indulging in the actual event. The sports analysis is the primary focus of this paper which mainly displays analysis of comprehensive data about different sport events involved in Olympics taking place from its beginning to the year 2016. The changing time brings new challenges and understandi

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Bouchet, Adrien, Michael Troilo, and Brian R. Walkup. "Dynamic pricing usage in sports for revenue management." Managerial Finance 42, no. 9 (2016): 913–21. http://dx.doi.org/10.1108/mf-01-2016-0017.

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Purpose The purpose of this paper is to examine the extent to which dynamic pricing is utilized in North American professional sports. While industries such as airlines and travel services have employed dynamic pricing for decades, professional sports is only now starting to adopt it. Design/methodology/approach The authors survey and interview high ranking executives and managers in North American sports organizations. A total of 72 managers and executives from the four major North American professional sports leagues as well as other sport properties were surveyed. Descriptive statistics and

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Knudson, Duane. "Bibliometrics of ITF Coaching & Sport Science Review." ITF Coaching & Sport Science Review 28, no. 82 (2020): 27–30. http://dx.doi.org/10.52383/itfcoaching.v28i82.20.

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This study documented the citation metrics of articles published by the ITF Coaching & Sport Science Review (ITFCSSR) and indexed in Google Scholar (GS). A systematic searching of GS returned 209 unique ITFCSSR indexed articles published between 1993 and 2019 with 1139 citations. ITFCSSR articles had relatively low citation rates that confirmed previous bibliometric research on the gradual development of tennis knowledge compared to faster moving biomedical fields. ITFCSSR articles may make unique contributions to knowledge development in tennis science, particularly in coaching, physiolog

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Wei Chit Chun. "Educational Practice of AI Technology in Sports Training and Competition Data Visualization." Journal of Information Systems Engineering and Management 10, no. 3 (2025): 106–13. https://doi.org/10.52783/jisem.v10i3.3745.

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Evolutionally changes have been realized in the sports sector following the integration of technology. This includes the of AI which has been effective in performance management and training interventions. Data visualization and analytics are the main components of this development helping in optimization of human limitations. The use of VAR in football has brough about reduce errors in officiating of the games. Also, AR and VR technologies have been a common trend among coaches as they implement structured training sessions. This study will use case studies to achieve three main objectives. F

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Kim, Minsoo, Minsoo Kim, and Minsoo Kim. "Social big data analysis on demands for the Korean sport industry." IJASS(International Journal of Applied Sports Sciences) 32, no. 2 (2020): 28–39. http://dx.doi.org/10.24985/ijass.2020.32.2.28.

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The purpose of the study was to explore public opinions and perceptions with regard to the Korean sport industry based on a big data analysis of social media content. Social big data was collected using ‘TextoM’, a big data analysis solution and ‘Naver’, an Internet portal service provider. In order to collect data, a total of 29 keywords were used such as sport industry, sport facilities, sport services, sport marketing, professional baseball, and sport manufacturing. Social analytics was used to analyze big data from social media content about the Korean sport industry. A total of 6,002,666

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Robertson, S. "Improving load/injury predictive modelling in sport: The role of data analytics." Journal of Science and Medicine in Sport 18 (December 2014): e25-e26. http://dx.doi.org/10.1016/j.jsams.2014.11.198.

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Knudson, Duane. "Influence of the First Decade of the Athens Journal of Sports." Athens Journal of Sports 12, no. 1 (2025): 27–36. https://doi.org/10.30958/ajspo.12-1-2.

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This study documented the indexing and citations to the first decade of articles published by the Athens Journal of Sports (AJSPO) in Google Scholar, with confirmatory secondary analysis of summary data from Dimensions and OpenAlex database services. A wide variety of articles have been published, with most focus on the business and behavioral/humanities aspects of sports. AJSPO has nearly complete indexing of published articles in these free database services. Article usage is strong in all three databases with median total citations and citation rate similar or better than new journals in th

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Tumma Susmitha, Et al. "Analysis and Prediction of Winning Team and Player Performance in Franchise Cricket using Machine Learning." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 1838–43. http://dx.doi.org/10.17762/ijritcc.v11i9.9173.

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Sports, especially cricket, produces an enormous amount of statistical data that has led to the evolution of the game. Unlike other sports, cricket involves numerous variables ranging from pitch conditions, weather, boundary length, and several other factors that make each game unique. These variables make every match have its own significance, making cricket an ever-evolving sport that continues to captivate its audience. Over the years, cricket has witnessed a massive transformation with the integration of analytics. The use of data analytics has changed the way players and coaches approach

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Sheps, Stephen W. "Corsi, Fenwick and Gramsci: How bloggers and advanced analytics are changing the National Hockey League." International Review for the Sociology of Sport 55, no. 8 (2019): 1192–211. http://dx.doi.org/10.1177/1012690219869192.

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Since the early 2000s, an ever growing online community of bloggers and amateur statisticians has been developing a new set of advanced analytics and performance metrics for the National Hockey League. Many of the people who are driving innovation in this field are not data scientists but, rather, intellectually curious fans of the game, who are playing a significant role in reshaping the way the game is consumed and understood. Yet, despite the body of knowledge created online, only within the last few years have the National Hockey League and the mainstream sport media begun to take notice o

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Geetharamani, G., K. Dhinakaran, Janarthanan Selvaraj, and S. Christopher Ezhil Singh. "Sport-utility vehicle prediction based on machine learning approach." Journal of Applied Research and Technology 19, no. 3 (2021): 184–93. http://dx.doi.org/10.22201/icat.24486736e.2021.19.3.1683.

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Data mining and machine learning analytics in manufacturing field is one of the major research fields in Information Technology with a lot of challenges. The goal of this research is to design a categorical solution to decide whether a customer is eligible and interested to purchase a sport-utility vehicle (SUV) based on the available data from the previous records collected from the banks. The data from different customers across various ages who have purchased the sport-utility vehicle earlier are collected and used in building a solution for this logistic model. A range of age and an estima

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Silitonga, Dicky Januarizky, Muhammad Andi Yudha Cahya Adinegara, and Dwinda Mariska Putri. "Probing the Quality of Football Leagues Through Player’s Foot Laterality: A Data Analytics Approach." JOSSAE (Journal of Sport Science and Education) 8, no. 2 (2023): 103–12. http://dx.doi.org/10.26740/jossae.v8n2.p103-112.

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The ability to use both sides of feet in association football, or so-called soccer in some countries, is highly valued, and therefore professional athletes rigorously train their non-dominant foot to perform effectively on the pitch. However, a subject that relates that players’ laterality aspect to the overall quality of the league of a given country has not yet been widely explored. This paper discusses the subject through a data analytics approach, leveraging the abundance of publicly available football datasets to describe interesting phenomena through data visualizations. In the present s

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Yan, Grace, Dustin Steller, Nicholas M. Watanabe, and Nels Popp. "What Determines User-Generated Content Creation of College Football? A Big-Data Analysis of Structural Influences." International Journal of Sport Communication 11, no. 2 (2018): 219–40. http://dx.doi.org/10.1123/ijsc.2017-0113.

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The question of how and why users engage in sport digital communication endures. In this study, structuration theory is employed to examine how social-media users exercise preferences in the creation of content as they respond to a variety of macrolevel factors pertaining to college football—the type of game, team strength, conference membership, market characteristics, etc. Through hierarchical regression analysis, the results indicate that the presence and timing of college football games, as well as team strength and game outcome, are significant determinants for the patterns of online cont

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