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Cornell University

Categorizing Cruise Lines In The North America Market By Passenger Perceived Experience

Abstract

dc:description.abstract

Modern leisure cruising is one of the fastest-growing forms of international tourism. Academic researchers have studied leisure-cruise consumers, but there is less research on the cruise industry, in particular on the structure of the industry. For example, the only method used for categorizing cruise lines is based on price and positioning strategies. This study takes a data-driven approach and proposes a new means for categorizing cruise lines by cruiser perceived experience. Using JD Power customer satisfaction data collected from 3003 cruisers, the seven largest seven cruise lines in the North America market are clustered into three categories based on cruiser specific experiences. The categories show significant differences in cruiser experience. Crosstab analyses shows that the categories are also associated with the reasons that consumers select specific cruise lines. Furthermore, for different cruise line categories, the importance of experience components and the relationship between cruiser experience and loyalty are different.

Degree

thesis:*
Name thesis:degree_name
M.S., Hospitality Management
Level thesis:degree_level
Master of Science
Discipline thesis:degree_discipline
Hospitality Management
Grantor
Cornell University
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Li, Yiwei
Committee member dc:contributor.committeemember
  • Verma, Rohit

Subjects

dc:subject × 2

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1813/38954
OAI identifier oai:identifier
oai:ecommons.cornell.edu:1813/38954

Chain of custody

source
Harvested from
Cornell University
Base URL
ecommons.cornell.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Li, Yiwei. Categorizing Cruise Lines In The North America Market By Passenger Perceived Experience. Master of Science thesis, Cornell University, 2014. https://hdl.handle.net/1813/38954