The purpose of this article is to adopt a customer-centric perspective the and introduce digital twin technology as a solution for mega-sport event management. This conceptual model article focuses on the potentially drastic role of digital twin technology in modern sports events, explaining in detail different aspects of its impact. The main research question is "How (and why) do sports venue digital twin emerging technologies prospectively impact the sports spectators" customer experiences?" It contributes to understanding how and why sports venue digital twins make events more customer-centred by enhancing fan experiences and engagement. Subsequently, it aims to position digital twin technology as an innovative solution for mega-sport event management across various customer experience touchpoints. By examining the intersection of digital twins and sports events from a customer-centric lens, this article will elucidate the intricacies involved in leveraging this emerging technology to transform stakeholder and fan experiences at major sporting events. Finally, we outline and explain the obstacles, challenges, opportunities, and perspectives of digital twin technology at an intersection with sports events from a customer-centric perspective. The use of digital twins potentially enables the creation of hyper-realistic virtual replicas of sports venues, providing immersive and personalized experiences for spectators. This technology allows event organizers to optimize resource allocation, streamline logistics, and improve operational efficiency.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10728725 | PMC |
| http://dx.doi.org/10.3389/fspor.2023.1289140 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Research on virtual collection method of layer house temperature for the construction requirements of digital twin system.
Poult Sci
January 2025
Hebei Agricultural University, Baoding, Hebei 071000, China; Key Laboratory of Intelligent Equipment and New Energy Utilization in Livestock and Poultry Farming of Hebei Province, Baoding, Hebei 071000, China.
At present, in the context of the highly intensive development of livestock and poultry breeding, digital management is becoming increasingly important, and digital twin systems are gradually being applied. To solve the contradiction between data acquisition and sensor network congestion, a virtual acquisition method based on historical data and real-time reference of point data is proposed when constructing a digital twin system. Firstly, computational fluid dynamics (CFD) simulation was used to analyze and determine the temperature distribution and environmental characteristics inside the layer house, and the collection area was preliminarily divided according to the CFD simulation results.
View Article and Find Full Text PDFAn ODE-based swift and dynamic sewer airflow model.
Water Res
December 2024
School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China; State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong SAR, China. Electronic address:
Airflow models are powerful tools for ventilation design to achieve odour and corrosion mitigation in sewer networks. Currently, there lacks a model able to efficiently predict in-sewer dynamic airflows, as all available dynamic models with an acceptable accuracy are computationally demanding. In this study, a swift dynamic airflow model based on an ordinary differential equation (ODE) is derived by simplifying the one-dimensional Navier Stokes Equations (NSE), supported by the observation that the NSE solutions always display negligible spatial variations in air velocity when applied to a sewer conduit.
View Article and Find Full Text PDFDigiLoCS: A leap forward in predictive organ-on-chip simulations.
PLoS One
January 2025
ESQlabs Gmbh, Saterland, Germany.
Digital twins, driven by data and mathematical modelling, have emerged as powerful tools for simulating complex biological systems. In this work, we focus on modelling the clearance on a liver-on-chip as a digital twin that closely mimics the clearance functionality of the human liver. Our approach involves the creation of a compartmental physiological model of the liver using ordinary differential equations (ODEs) to estimate pharmacokinetic (PK) parameters related to on-chip liver clearance.
View Article and Find Full Text PDFBackground: Amyloid, Tau and neurodegeneration (ATN), the hallmark pathologies of Alzheimer's Disease (AD) translating to measurable biomarkers are important for disease modifying therapeutics.
Method: AD Digital-Twins were built using AITIA's patented A.I.
Drug Development.
Alzheimers Dement
December 2024
Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.
Background: Randomized placebo-controlled trials (RCTs) are the gold standard to evaluate efficacy of new drug treatments for Alzheimer's disease. For example, the United States FDA approved the brain amyloid-targeting drug lecanemab following CLARITY AD, Biogen and Eisai's Phase 3 RCT. However, recruiting enough participants for a high-powered and demographically representative trial is difficult and expensive.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!