Optimizing Player Management Processes in Sports: Translating Lessons from Healthcare Process Improvements to Sports

Author:

Ranaweera J.12,Zanin M.12,Weaving D.13,Withanage C.4,Roe G.12

Affiliation:

1. Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport , Leeds Beckett University , Leeds , UK

2. Bath Rugby , Bath, UK

3. Leeds Rhinos Rugby League Club , Leeds, UK

4. Asia Digital Engineering, AirAsia Group , Malaysia

Abstract

Abstract Typical player management processes focus on managing an athlete’s physical, physiological, psychological, technical and tactical preparation and performance. Current literature illustrates limited attempts to optimize such processes in sports. Therefore, this study aimed to analyze the application of Business Process Management (BPM) in healthcare (a service industry resembling sports) and formulate a model to optimize data driven player management processes in professional sports. A systematic review, adhering to PRISMA framework was conducted on articles extracted from seven databases, focused on using BPM to digitally optimize patient related healthcare processes. Literature reviews by authors was the main mode of healthcare process identification for BPM interventions. Interviews with process owners followed by process modelling were common modes of process discovery. Stakeholder and value-based analysis highlighted potential optimization areas. In most articles, details on process redesign strategies were not explicitly provided. New digital system developments and implementation of Business Process Management Systems were common. Optimized processes were evaluated using usability assessments and pre-post statistical analysis of key process performance indicators. However, the scientific rigor of most experiments designed for such latter evaluations were suboptimal. From the findings, a stepwise approach to optimize data driven player management processes in professional sports has been proposed.

Publisher

Walter de Gruyter GmbH

Subject

Biomedical Engineering,General Computer Science

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