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Passive Sports Tourist Attending a Major Sports Event: Influencing Factors on Future Intentions Cover

Passive Sports Tourist Attending a Major Sports Event: Influencing Factors on Future Intentions

Open Access
|Sep 2026

Figures & Tables

Figure 1

Research model.

Source: Authors’ contribution.

Table 1

Sample demographic profile.

CharacteristicsFrequency
N (152)%
Gender
Female8656.6
Male6643.4
Age (years)
18 to 304227.6
31 to 455938.8
46 to 603825.0
More than 61138.6
Marital status
Single5334.9
Married/Cohabited9059.2
Divorced/Separated85.3
Widowed10.7
Education level
Elementary studies149.2
Junior High School1811.8
Senior High School2415.8
Professional education2214.5
Graduated5838.2
Post graduated1610.5
Occupation
Self-employed149.2
Employed8052.6
Student4026.3
Unemployed85.3
Retired/Pensioner74.6
Housekeeper32.0
Practice physical activity
Yes9562.5
No5737.5

Source: Authors’ contribution.

Table 2

Measurement items, construct reliability and convergent validity.

AbbreviationsDimensions and itemsMeanSD λ
Quality PerceivedCommunication (α = 0.74; CR = 0.76; AVE = 0.51)
COM1The organization of the event provided me with a reliable, consistent, and dependable service6.211.070.611
COM2I had updated information about the event/participants/teams6.331.020.746
COM3The information about this event was easy to get6.171.040.775
Quality PerceivedStaff (α = 0.74; CR = 0.76; AVE = 0.51).
STF4The event staff and the volunteers were competent5.991.210.705
STF5Staff behaviour was pleasant5.761.420.746
STF6The staff linked to the event made an effort to understand my needs and helped me with the questions I asked6.061.050.686
Electronic Word of Mouth (α = 0.79; CR = 0.83; AVE = 0.62)
eWOM7Advertising of this event online was the key to choose this destination5.361.790.887
eWOM8I consulted and valued the comments and opinions I have read online when it came to choosing this destination5.231.790.838
eWOM10I search or I will search for publications by other attendees of this event on social networks4.951.960.609
Destination Image (α = 0.83; CR = 0.84; AVE = 0.64)
DIM11There are good opportunities to enjoy free time and entertainment in the destination5.891.320.759
DIM12The destination offers interesting places to visit5.891.290.870
DIM13As a tourist destination, the place offers good value for money5.911.180.771
Satisfaction (α = 0.81; CR = 0.80; AVE = 0.57)
SAT14I am having a good time attending this event6.141.070.823
SAT15I really enjoy attending sports events6.211.090.757
SAT16I think having free time and fun are important when it comes to choosing6.241.050.683
Future Intentions (α = 0.71; CR = 0.72; AVE = 0.56)
FI17I am going to recommend this destination to my friends and relatives6.141.100.796
FI18If I had the opportunity to attend a similar sports event, I would repeat the experience6.321.120.696

Note: all items are measured with a 7-point Likert scale anchoring strongly disagree (1) and strongly agree (7). SD = Standard Deviation, λ = item loadings, α = Cronbach’s alpha, CR = Composite Reliability, AVE = average variance extracted.

Source: Authors’ contribution.

Table 3

Discriminant validity analysis (Fornell–Larcker criterion).

(1)(2)(3)(4)(5)(6)
Quality perceived – Staff(0.51)
Quality perceived – Communication0.42(0.51)
Electronic Word of Mouth0.230.29(0.62)
Destination image0.390.360.28(0.64)
Satisfaction0.480.490.300.53(0.57)
Future intentions0.450.490.350.520.46(0.56)

Note: Values on the diagonal are AVE values, while the off-diagonal values are squared correlations between the constructs.

Source: Authors’ contribution.

Table 4

Path estimates.

PathEstimate t Statistic p-ValueHypotheses
Staff → Communication0.7485.325<0.001H1: supported
Staff → Electronic Word of Mouth0.1811.0370.300H2: not supported
Staff → Destination image0.3412.2520.024H3: supported
Staff → Satisfaction0.1731.5340.125H4: not supported
Communication → Electronic Word of Mouth0.4042.2920.022H5: supported
Communication → Destination image0.1831.0990.272H6: not supported
Communication → Satisfaction0.1251.1490.250H7: not supported
Electronic Word of Mouth → Destination image0.2532.4560.014H8: supported
Electronic Word of Mouth → Satisfaction0.0770.9310.352H9: not supported
Electronic Word of Mouth → Future intentions0.0300.7410.733H10: not supported
Destination image → Satisfaction0.6036.663<0.001H11: supported
Satisfaction → Future intentions0.9138.759<0.001H12: supported

Source: Authors’ contribution.

Figure 2

Model SEM coefficients and relations between variables.

Source: Authors’ contribution.

DOI: https://doi.org/10.2478/pcssr-2026-0012 | Journal eISSN: 1899-4849 | Journal ISSN: 2081-2221
Language: English
Page range: 202 - 216
Submitted on: Apr 24, 2026
Accepted on: Jul 1, 2026
Published on: Sep 16, 2026
Published by: University of Physical Education in Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2026 José Miguel Vegara-Ferri, Pablo Gálvez-Ruiz, Salvador Angosto, Aurora María García-Vallejo, published by University of Physical Education in Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.