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

Title:
Optimizing Player Management Processes in Sports: Translating Lessons from Healthcare Process Improvements to Sports
Source:
International Journal of Computer Science in Sport, Vol 20, Iss 2, Pp 119-146 (2021)
Publisher Information:
Walter de Gruyter GmbH, 2021.
Publication Year:
2021
Document Type:
Fachzeitschrift Article<br />Other literature type
File Description:
application/pdf
Language:
English
ISSN:
1684-4769
DOI:
10.2478/ijcss-2021-0008
Rights:
CC BY NC ND
Accession Number:
edsair.doi.dedup.....2ec2a5b2f5a973fd0e84340c1f92abb3
Database:
OpenAIRE

Weitere Informationen

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.