Elite Sports and Business Solutions (ESBS): A Cross‑Industry, Data‑Driven Model for Sports Entrepreneurship and Business Model Innovation

Elite Sports and Business Solutions (ESBS): A Cross‑Industry, Data‑Driven Model for Sports Entrepreneurship and Business Model Innovation

Date: 27 October 2025

Abstract

This article presents Elite Sports and Business Solutions (ESBS) as a practice‑led case of business model innovation at the intersection of sport science, digital technologies, and strategic management. We synthesise recent literature on cross‑industry innovation, sport entrepreneurship, AI‑enabled performance analytics, and athlete branding, and translate these insights into an integrated operating model spanning eight ESBS divisions: Athlete Performance; Facility Innovation (Gym & Stadium Design); Event & Experience; Sports Medicine & Nutrition; Athlete Branding & Marketing; Talent ID & Development; Business Advisory; and Media & Communication. We propose a Convergence‑Driven Sports Entrepreneurship (CDSE) framework comprising four capabilities—(1) cross‑domain recombination, (2) data flywheels, (3) platformised services, and (4) brand co‑creation—and derive testable propositions for researchers and actionable guidance for operators. ESBS is positioned as an applied research partner capable of implementing and evaluating these propositions in real contexts.

Keywords: sports entrepreneurship; business model innovation; cross‑industry convergence; athlete branding; AI analytics; sportstech ecosystems; digital transformation.

1. Introduction

Sport has become a convergence industry in which technologies, data, media and commerce recombine into novel offerings and revenue logics. Cross‑industry innovation (CII)—a form of open innovation—frames this recombination and is increasingly salient in a digitalising economy, yet mechanisms and capability building for firms that straddle multiple domains remain under‑specified (Carmona‑Lavado, Giménez‑Fernández, Vlaisavljevic & Cabello‑Medina, 2023). IDEAS/RePEc+1 In sport, a growing body of work argues that entrepreneurship and innovation are critical value drivers but also notes fragmentation in the field and the need for integrative, practice‑grounded models (Hammerschmidt, González‑Serrano, Puumalainen & Calabuig, 2024). SpringerLink

Concurrently, AI and sensorised wearables are transforming high‑performance practice, sports medicine and injury prevention (Souaifi et al., 2025; Mateus et al., 2024; Zhou et al., 2025), while leagues adopt optical tracking and advanced analytics at scale (AP News, 2024; WNBA, 2024). wnba.com+4MDPI+4MDPI+4 Athlete value is also being reshaped by platform power and generative AI, which enable athlete‑led branding and new business models (Westerbeek & van Schaik, 2025; Westerbeek, 2025). Frontiers+2PMC+2 Ecosystem evidence suggests sportstech’s maturation—with consolidation and more sophisticated investment—raising the bar for scalable, evidence‑based models (ASTN, 2024; Deloitte, 2025). astn.com.au+2astn.com.au+2

Against this backdrop, we introduce ESBS as a multi‑department enterprise that operationalises convergence across performance, facilities, medicine, branding, talent, advisory and media. We frame ESBS as a living laboratory to study and implement convergence capabilities in real settings.

2. Literature Background

2.1 Cross‑Industry Innovation and Convergence

Systematic reviews define CII as knowledge transfer and recombination across sectoral boundaries; digitalisation, modularity and architectural innovation act as enablers (Carmona‑Lavado et al., 2023). IDEAS/RePEc Complementary work on industry/technology convergence examines drivers (technology trajectories, standards), mechanisms (alliances, platforms) and outcomes (new value architectures), including recent empirical links between AI and technology convergence (Ma, 2024) and bibliometric SLRs on convergence and value innovation (Chen, Shen, Zhang & Chen, 2023). ScienceDirect+1

2.2 Sports Entrepreneurship and Ecosystems

Recent scholarship synthesises sport entrepreneurship as a field where innovation and creativity drive value, but emphasises fragmentation and calls for ecosystem‑level integration (Hammerschmidt et al., 2024). SpringerLink Sector outlooks reinforce the maturing sportstech landscape and consolidation pressures that reward orchestrators capable of spanning domains (ASTN, 2024; Deloitte, 2025). astn.com.au+1

2.3 Data, AI, and Performance

Narrative and scoping reviews document rapid progress in AI biomechanics, injury prediction and personalised programming, alongside broader organisational adoption of digital tools (Souaifi et al., 2025; Mateus et al., 2024; Zhou et al., 2025). MDPI+2MDPI+2 League‑wide optical tracking in the WNBA illustrates institutional adoption of 3D pose data for strategy and content (AP News, 2024; WNBA, 2024). AP News+1

2.4 Athlete Branding, Platforms, and Generative AI

A 2025 systematic review synthesises evidence on platform power, athlete branding and generative AI—showing disintermediation and athlete‑owned business models (Westerbeek & van Schaik, 2025), complemented by conceptual work on augmented authenticity in athlete–AI co‑production (Westerbeek, 2025). Sponsorship and social media studies link brand image to purchase intention, providing input variables for athlete‑branding programs (Sarpong & Zungu, 2025; Abeza et al., 2023). Human Kinetics Journals+3Frontiers+3Frontiers+3

3. ESBS: Organisational Design and Service System

ESBS integrates eight divisions as strategic business units:

1. Athlete Performance (personalised training, wearables, analytics)

2. Facility Innovation (gym & stadium design with sustainability, UX and digital infrastructure)

3. Event & Experience (tournaments, corporate programmes)

4. Sports Medicine & Nutrition (evidence‑based rehab, prevention, tele‑health)

5. Athlete Branding & Marketing (sponsorship, content, contracts, platform strategy)

6. Talent ID & Development (scouting analytics, pathways to teams/schools)

7. Business Advisory (strategy, commercialisation, finance for sport organisations/startups)

8. Media & Communication (podcasts, video journalism, research translation).

Divisional integration yields shared data and content, enabling a data–brand flywheel and platformised services (e.g., subscription analytics for clubs, sponsorship‑readiness kits, talent‑pathway dashboards). This design directly operationalises CII by fusing sport science, health, architecture, media and business services (Carmona‑Lavado et al., 2023) and aligns with platform‑thinking trajectories in innovation management (TFSC Special Issue, 2025). IDEAS/RePEc+1

4. A Convergence‑Driven Sports Entrepreneurship (CDSE) Framework

We synthesise the literature into four firm‑level capabilities and map them to ESBS practice.

C1. Cross‑Domain Recombination. Systematically scout and translate solutions from adjacent sectors (e.g., digital health, smart buildings) into sport value propositions and facility design—an operationalisation of CII (Carmona‑Lavado et al., 2023; Chen et al., 2023). IDEAS/RePEc+1

C2. Data Flywheels. Instrument performance, facility usage and media engagement to compound learning via analytics; integrate AI biomechanics and injury‑risk models (Souaifi et al., 2025; Mateus et al., 2024). MDPI+1

C3. Platformised Services. Standardise and modularise offerings to scale across segments and geographies; maturity advantages accrue to platform orchestrators (ASTN, 2024; TFSC Special Issue, 2025; Deloitte, 2025). astn.com.au+2ScienceDirect+2

C4. Brand Co‑Creation. Empower athletes and teams as co‑producers of content and IP; leverage generative AI for production, discovery and commercial experimentation (Westerbeek & van Schaik, 2025; Westerbeek, 2025). Frontiers+1

5. Research Propositions (for joint ESBS–University studies)

• P1 (Performance Economics). Adoption of AI‑enabled biomechanics and optical/IMU tracking will reduce injury incidence and increase availability‑adjusted team performance versus matched controls (Souaifi et al., 2025; AP News, 2024; WNBA, 2024). MDPI+2AP News+2

• P2 (Business Model Yield). Organisations implementing platformised modules across at least three ESBS divisions (e.g., Performance, Branding, Advisory) will show higher revenue diversification and lower churn than single‑service peers at similar ecosystem maturity (ASTN, 2024; Deloitte, 2025). astn.com.au+1

• P3 (Brand Value Uplift). Athlete‑led, AI‑assisted content strategies will increase sponsorship conversion and brand‑image metrics versus baseline social posting, mediated by disintermediation and creator control (Westerbeek & van Schaik, 2025; Sarpong & Zungu, 2025; Abeza et al., 2023). Frontiers+2Taylor & Francis Online+2

• P4 (Facility ROI). Facilities designed with smart‑stadium and digital‑twin features (sensor networks, digital UX) will achieve higher utilisation and lifetime ROI through operational data loops (PwC, 2024; Glebova et al., 2023/2024; Deloitte, 2024). 딜로이트+3PwC+3Frontiers+3

6. Method: ESBS as a Living Lab

We propose a multi‑method design combining: (i) longitudinal field experiments (injury‑risk models; sponsorship funnels), (ii) matched‑pair comparisons with non‑adopter clubs, (iii) quasi‑experiments around facility upgrades (pre/post smart‑stadium integrations), and (iv) qualitative process tracing of cross‑domain recombination decisions. This approach enables causal inference where feasible and mechanism discovery consistent with contemporary innovation‑management evaluation standards. (Foundational constructs from CII and convergence inform measurement and learning loops.) IDEAS/RePEc+1

7. Managerial and Policy Implications

For operators, the CDSE lens clarifies where to invest: (1) data infrastructure and analytics talent (Performance, Medicine, Facilities); (2) modular, platform‑ready products (analytics‑as‑a‑service; branding playbooks; talent dashboards); (3) athlete‑centric brand co‑creation capabilities. For policymakers and sport bodies, ecosystem maturity implies support for interoperability, open standards and talent pipelines to reduce fragmentation and accelerate diffusion of safety‑critical innovations that improve welfare and competitive balance. Evidence from ASTN and Deloitte indicates the industry increasingly rewards orchestrators over point‑solution vendors. astn.com.au+1

8. Conclusion

ESBS exemplifies a convergence‑native sports enterprise, integrating performance science, facilities, medicine, branding, talent, advisory and media into a cohesive, data‑driven platform. Grounded in recent research on CII, AI analytics, athlete branding and platformisation, ESBS offers both a scalable operating model and a research testbed for scholars of sport entrepreneurship and business model innovation. The CDSE framework and propositions invite collaborative field trials—precisely in the domains emphasised by current scholarship and market trajectories. ScienceDirect+3IDEAS/RePEc+3Taylor & Francis Online+3

In‑Text Citations (Harvard style) and Full References

(In‑text examples used above: Carmona‑Lavado et al., 2023; Hammerschmidt et al., 2024; Souaifi et al., 2025; Mateus et al., 2024; Zhou et al., 2025; Westerbeek & van Schaik, 2025; ASTN, 2024; Deloitte, 2025; PwC, 2024; Glebova et al., 2023/2024; Sarpong & Zungu, 2025; Abeza et al., 2023; Ma, 2024; Chen et al., 2023).

Academic and Industry Sources

• Abeza, G., et al. (2023). Social media and sport studies (2014–2023): A critical review. International Journal of Sport Communication, 16(3), 251–289. Human Kinetics Journals

• ASTN (Australian Sports Technologies Network). (2024). Sports Innovation Report 2024: Beyond Growth—Australia’s Sportstech Sector Reaches Maturity. Melbourne: ASTN. (single‑page PDF). astn.com.au

• AP News. (2024, Mar 5). WNBA to use optical tracking to enhance player analysis. AP News

• Carmona‑Lavado, A., Giménez‑Fernández, E.M., Vlaisavljevic, V., & Cabello‑Medina, C. (2023). Cross‑industry innovation: A systematic literature review. Technovation, 124, 102743. IDEAS/RePEc+1

• Chen, Y., Shen, L., Zhang, X., & Chen, Y. (2023). Industry convergence and value innovation: A bibliometric analysis and systematic review. Kybernetes, 52(10), 4576–4610. Emerald+1

• Deloitte. (2025). 2025 Sports Industry Outlook. 딜로이트

• Glebova, E., et al. (2023). Sports venue digital twin technology from a spectator virtual visiting perspective. Frontiers in Sports and Active Living. (and 2024 “Twin transformation” perspective). Frontiers+1

• Hammerschmidt, J., González‑Serrano, M.H., Puumalainen, K., & Calabuig, F. (2024). Sport entrepreneurship: the role of innovation and creativity in sport management. Review of Managerial Science, 18(11), 3173–3202. SpringerLink

• Ma, D., et al. (2024). Does artificial intelligence drive technology convergence? Technology in Society. ScienceDirect

• Mateus, N., et al. (2024). Empowering the sports scientist with artificial intelligence. Sensors, 25(1), 139. MDPI

• PwC Middle East. (2024). Digital stadiums: transforming the sports industry. (ESG‑aligned smart‑stadium design). PwC

• Sarpong, A., & Zungu, N.P. (2025). Sports sponsorship, brand image, and purchase intentions toward sponsors’ products. Journal of Global Sport Management. Taylor & Francis Online

• Souaifi, M., et al. (2025). Artificial Intelligence in Sports Biomechanics: A Scoping Review on Performance and Injury Prevention. Bioengineering, 12(8), 887. MDPI+2MDPI+2

• TFSC Special Issue. (2025). Platform thinking towards a cross‑sectoral socio‑technical paradigm. Technological Forecasting & Social Change (call and overview). ScienceDirect

• WNBA. (2024, Mar 5). WNBA and Genius Sports bring cutting‑edge data tracking to all arenas. (Second Spectrum 3D pose/ball tracking). wnba.com

• Westerbeek, H. (2025). Augmented authenticity in athlete branding through human‑AI co‑production. Frontiers in Sports and Active Living. Frontiers

• Westerbeek, H., & van Schaik, T. (2025). Platform power, athlete branding, generative AI, and the future of sport governance—A systematic review. Frontiers in Sports and Active Living. Frontiers+1

• Zhou, D., et al. (2025). Artificial intelligence in sport: A narrative review. Journal of Sports Sciences. Taylor & Francis Online

Contextual/Complementary Evidence (selected)

• Deloitte–WSJ Custom Content. (2025). Global sports industry outlook: 5 trends to watch. Deloitte

• Reuters. (2025, Mar 18). Women’s elite sports revenues to top $2.35 bn in 2025 (Deloitte). Reuters

• The Guardian. (2024, Jan 19). Football injuries are on the rise. Will AI solve the problem? The Guardian

Positioning Note (explicit alignment with your collaborators)

The CDSE framework operationalises the cross‑domain business‑model innovation agenda advanced in the Chair of Entrepreneurship and Innovative Business Models tradition (e.g., Bröring & Leker’s convergence work), and directly mirrors the interview focus you received—“how and when startups develop their business models, particularly when they combine knowledge, technologies, or markets from different industries.” By implementing CDSE inside ESBS and opening it as a living lab, you are demonstrably working in their research field—combining entrepreneurship, innovation management and technological convergence within a sports context that generates publishable, causal‑leaning evidence.