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doi:10.22028/D291-32489
Titel: | Comparing motivational patterns of e-mountain bike and common mountain bike tourists |
VerfasserIn: | Schlemmer, Philipp Barth, Michael Schnitzer, Martin |
Sprache: | Englisch |
Titel: | Current issues in tourism |
Bandnummer: | 23 |
Heft: | 10 |
Startseite: | 1186 |
Endseite: | 1190 |
Verlag/Plattform: | Routledge |
Erscheinungsjahr: | 2019 |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | E-biking is a trend in tourism and everyday life, especially in the alpine context. It provides a broader field of activities and constitutes a mobility feature for subsequent activities. The trend raises the question whether tourists utilize e-mountain bikes for other reasons or have other motivational backgrounds than common mountain bikers, especially in a vacation setting. Thus, the main objective of the research letter was to explore tourists’ motives for participating in (e-) mountain bike activities. Therefore, the sport motivation scale (SMS-II) was applied with particular regard to possible differences between the mentioned groups. The results showed that e-mountain bike tourists (EMTs) and common mountain bike tourists (CMTs) do not differ in their motivational patters, but have different sociodemographic backgrounds; this might indicate different vacation patterns and thus allow interesting implications for the tourism industry and destination management organizations. Hence, we strive to encourage more researchers to analyse (e-)mountain bike activities in a touristic context. |
DOI der Erstveröffentlichung: | 10.1080/13683500.2019.1606168 |
URL der Erstveröffentlichung: | https://www.tandfonline.com/doi/abs/10.1080/13683500.2019.1606168 |
Link zu diesem Datensatz: | hdl:20.500.11880/29892 http://dx.doi.org/10.22028/D291-32489 |
ISSN: | 1368-3500 1747-7603 |
Datum des Eintrags: | 22-Okt-2020 |
Fakultät: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
Fachrichtung: | HW - Sportwissenschaft |
Professur: | HW - Univ.-Prof. Dr. Eike Emrich |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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