2022
DOI: 10.1007/978-3-030-93612-9_3
|View full text |Cite
|
Sign up to set email alerts
|

The Determinants of Length of Stay of Italian Senior Tourists

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
11
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(12 citation statements)
references
References 67 publications
1
11
0
Order By: Relevance
“…-"Younger seniors" (aged 55-64 years); -"Older seniors" (aged 65 and above). This categorization choice aligns with the framework introduced by Campolo et al [9] and allows for the exploration of age-related nuances within the senior tourist demographic.…”
Section: Definition Of Senior Touristsmentioning
confidence: 89%
See 3 more Smart Citations
“…-"Younger seniors" (aged 55-64 years); -"Older seniors" (aged 65 and above). This categorization choice aligns with the framework introduced by Campolo et al [9] and allows for the exploration of age-related nuances within the senior tourist demographic.…”
Section: Definition Of Senior Touristsmentioning
confidence: 89%
“…The age range often varies across studies, contingent upon country-specific considerations and differences in retirement systems. In this study, we adopt a specific framework proposed by Campolo et al [9], delineating senior Italian tourists into two distinct categories:…”
Section: Definition Of Senior Touristsmentioning
confidence: 99%
See 2 more Smart Citations
“…From this point of view, an issue that deserves more attention concerns market segmentation. While some studies focus on a specific market segment (i.e., tourist categories), such as senior tourists (Alen et al, 2014;Campolo et al, 2022), the literature lacks studies on LoS that compare the different categories of tourists to grasp information on their needs and tailor specific products and services (Jeong et al, 2018). This evidence is quite surprising since the body of literature analysing segmentation based on satisfaction, spending, motivation, and the like is large (Jackman &Naitram, 2023).…”
Section: Introductionmentioning
confidence: 99%