The ‘Cruise Ship Railing Dance’: Conducting Academic Research in the Cruise Domain

Alexis Papathanassis (), Imke Matuszewski () and Paul Brejla ()
Additional contact information
Alexis Papathanassis: Bremerhaven University of Applied Sciences
Imke Matuszewski: Teesside University Business School
Paul Brejla: Linköping University

Chapter Chapter 13 in Cruise Tourism and Society, 2012, pp 173-192 from Springer

Abstract: Abstract Cruise-related research is regarded as interdisciplinary, pre-paradigmatic. As a research domain, cruises are characterised by high specificity and scarcity of available documented research. Thus, transferring methodological approaches from a variety of academic disciplines is inherently associated with epistemological risks and practical obstacles for cruise researchers. This paper synthesises research methodologies commonly applied in the cruise sector, ranging from conventional methods (hypothesis testing, case-studies, qualitative interviewing) to emerging, non-traditional approaches (e.g. web-based data analysis). Reflective accounts and examples are utilised in order to discuss their applicability and relevance in the chosen context. On this basis, requirements for cruise-adapted research methods are drafted and recommendations are made.

Keywords: Cruise Ship; Tourism Research; Average Sample Size; Cruise Research; Methodological Triangulation (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32992-0_13

Ordering information: This item can be ordered from
http://www.springer.com/9783642329920

DOI: 10.1007/978-3-642-32992-0_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().