Configurational Pathways to Olympic Inclusion: A Fuzzy-Set Qualitative Comparative Analysis Method

Technical Summary: Configurational Pathways to Olympic Inclusion

Problem Statement
The study addresses the complexity of determining why certain emerging sports are included in the Olympic Games while others with similar aesthetic or technical profiles are excluded. Traditional research often relies on linear models that isolate single variables (e.g., economic value or audience size) to explain Olympic inclusion. However, the authors argue that becoming an official Olympic sport is a complex outcome driven by the interaction of multiple factors, not a single independent variable. Specifically, the paper seeks to explain the divergent trajectories of sports like breaking (included in Paris 2024 but excluded from LA 2028), sport climbing, and surfing (included), versus sports like cheerleading and aerobic gymnastics (excluded despite high technical proficiency and regional popularity). The core problem is the lack of systematic quantitative research analyzing how different combinations of conditions influence Olympic selection.

Methodology
The research employs Fuzzy-set Qualitative Comparative Analysis (fsQCA), a method grounded in complexity theory, to analyze 14 distinct sports disciplines. These cases were categorized into three groups:

1. Traditional Olympic Sports: Football, Tennis, Baseball, Wrestling.
2. Emerging Olympic Sports: Breaking, Sport Climbing, Surfing, Squash, Cricket.
3. Regional/Aspiring Sports: Cheerleading, Aerobic Gymnastics, Mixed Martial Arts (MMA), Futsal, Soft Tennis, Dragon Boat Racing.

Data and Variables:
Data were sourced from official international bodies and Statista. Five core conditions (independent variables) were analyzed:

• Follower Base (F): Number of followers (in millions).
• Organizational Influence (II): Strength of the governing body.
• Development Time (DT): Duration of the sport's history.
• Number of Matches (NM): Frequency of official world competitions.
• Economic Growth (EG): Economic value generated (in billions of USD).

The outcome variable was binary: Olympic inclusion (1) or non-inclusion (0).
The study utilized a direct calibration method based on data distribution (80th, 50th, and 20th percentiles) to convert raw data into fuzzy-set membership scores ranging from 0 to 1. A consistency threshold of 0.80 was applied for necessary conditions, and 0.90 for sufficiency.

Key Results
The fsQCA analysis revealed that no single factor is a necessary or sufficient condition for Olympic inclusion. Instead, inclusion is the result of specific configurational pathways:

1. Core Condition: The Frequency of International Competitions (NM) emerged as the most critical core condition. It appears in all successful pathways leading to Olympic inclusion.
2. Pathway 1 (Institutional-Historical): A combination of high Organizational Influence (II), high Follower Base (F), high Number of Matches (NM), and long Development Time (DT) leads to inclusion. This path reflects traditional, well-established sports.
3. Pathway 2 (Economic-Competition): A combination of high Organizational Influence (II), high Follower Base (F), high Number of Matches (NM), and high Economic Growth (EG) leads to inclusion. This path explains the success of newer sports like breaking and surfing, which may lack deep historical roots but possess strong commercial and competitive structures.
4. Pathway 3 (Alternative): A combination of high Organizational Influence (II), high Number of Matches (NM), long Development Time (DT), and high Economic Growth (EG) also leads to inclusion.
5. Exclusion Factors: For sports excluded from the Olympics, the analysis identified that a lack of Development Time (DT) combined with low Economic Growth (EG) is a sufficient condition for non-inclusion. Additionally, the absence of high competition frequency (NM) and low follower bases (F) significantly reduces the likelihood of inclusion.

Key Contributions

• Methodological Innovation: This is the first study to apply fsQCA in the field of sports studies. It moves beyond the limitations of traditional linear regression models by demonstrating how multiple conditions interact synergistically to produce an outcome.
• Theoretical Insight: The study challenges the notion that a single variable (such as popularity or history) dictates Olympic status. It establishes that "equifinality" exists—different combinations of conditions can lead to the same outcome (Olympic inclusion).
• Strategic Framework: The research identifies that while economic value and organizational strength are important, the frequency of international competitions is the pivotal driver that, when combined with other factors, enables inclusion.

Significance and Claims
The authors claim that their findings offer a new analytical perspective for understanding the selection mechanisms of the Olympic Games. The study suggests that for emerging sports to gain Olympic recognition, they cannot rely on a single strength (e.g., a large fan base alone). Instead, they must develop a multi-dimensional strategy that integrates:

• Competition Planning: Establishing high-frequency international competition schedules to build legitimacy and visibility.
• Commercial Development: Cultivating economic value through industry chains and sponsorships.
• Institutional Support: Strengthening the governing bodies to manage global expansion and crisis response.

The paper concludes that Olympic inclusion is a result of "synergistic configurations." For sports like breaking, which have short histories, the study highlights that high-frequency competitions and strong economic growth can compensate for a lack of historical depth. Conversely, sports like cheerleading, despite high technical standards, failed to secure inclusion due to insufficient global competition frequency and limited economic impact. The authors note that future research could expand sample sizes and incorporate regulatory variables, but the current study provides a foundational configurational framework for sports policy and development.