Destination Events, Stability, and Turning Points of Development / R. Sainaghi, R. Baggio

Уровень набора: Journal of Travel Research (JTR) Основной Автор-лицо: Sainaghi, R., RuggeroАльтернативный автор-лицо: Baggio, R., Italian expert, philosopher, Professor of Tomsk Polytechnic University, candidate of philosophical Sciences, 1951-, RodolfoКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Школа базовой инженерной подготовки, Отделение социально-гуманитарных наукЯзык: английский.Резюме или реферат: This study investigates the effects generated by tourism events and investments to improve destination development (dynamics) and stability (topology). The horizontal visibility graph framework (a technique able to transform a time series into a network) was used. Two hypotheses were tested: the first was the ability of these events and investments to generate a turning point, and the second was their ability to increase the system’s stability. The findings are based on a longitudinal analysis of three different destinations in terms of size, type of destination events and investments, and the prevalent market segment. For each case, a daily longitudinal time series was considered, and the empirical evidence confirmed both hypotheses. In the concluding remarks, the theoretical and empirical implications are reported, and some future research avenues are discussed..Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | multiple case study | destination events | network topology | system dynamics | horizontal visibility graph | turning point | тематические обзоры | топология Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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This study investigates the effects generated by tourism events and investments to improve destination development (dynamics) and stability (topology). The horizontal visibility graph framework (a technique able to transform a time series into a network) was used. Two hypotheses were tested: the first was the ability of these events and investments to generate a turning point, and the second was their ability to increase the system’s stability. The findings are based on a longitudinal analysis of three different destinations in terms of size, type of destination events and investments, and the prevalent market segment. For each case, a daily longitudinal time series was considered, and the empirical evidence confirmed both hypotheses. In the concluding remarks, the theoretical and empirical implications are reported, and some future research avenues are discussed.

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