Perceived Constraints to Winter Sports: A Segmentation of German Non-Participants and their Market Potential

Abstract Securing, retaining and attracting demand in winter sports tourism requires consideration of participants and non-participants in marketing efforts and product development. This study examined perceived constraints to winter sports among non-participants in the German winter sports source market. Constraints were assessed in a representative sample (n=704) using 15 pre-determined items on a five-point Likert scale. Four constraining factors were identified using principal component analysis (context, physical condition, cost, attitude). Five clusters were identified using segmentation analysis (most constrained, self- and context constrained, least constrained, cost-sensitive, disinterested). Significant differences in socio-demographic and behavioural characteristics were found between clusters. The findings suggested the least constrained and cost-sensitive segments to have the greatest potential for future participation.

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Publication Details

Journal
Zeitschrift für Tourismuswissenschaft
Published
2025-06-27
DOI
https://doi.org/10.1515/tw-2025-0004
Primary Topic
Sport and Mega-Event Impacts
Type
article
Field-Weighted Citation Impact
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article

Perceived Constraints to Winter Sports: A Segmentation of German Non-Participants and their Market Potential

Ralf Roth, Lukas Schmidt, John W Schumann
Zeitschrift für Tourismuswissenschaft
Sport and Mega-Event Impacts
article

Perceived Constraints to Winter Sports: A Segmentation of German Non-Participants and their Market Potential

Ralf Roth, Lukas Schmidt, John W Schumann
article en

Abstract

Abstract Securing, retaining and attracting demand in winter sports tourism requires consideration of participants and non-participants in marketing efforts and product development. This study examined perceived constraints to winter sports among non-participants in the German winter sports source market. Constraints were assessed in a representative sample (n=704) using 15 pre-determined items on a five-point Likert scale. Four constraining factors were identified using principal component analysis (context, physical condition, cost, attitude). Five clusters were identified using segmentation analysis (most constrained, self- and context constrained, least constrained, cost-sensitive, disinterested). Significant differences in socio-demographic and behavioural characteristics were found between clusters. The findings suggested the least constrained and cost-sensitive segments to have the greatest potential for future participation.

Zeitschrift für TourismuswissenschaftVol. 17(2)
German Sport University Cologne (DE)
Openalex Percentile: Top 80%
Sport and Mega-Event Impacts
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