The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Measuring Experience Economy Concepts: Tourism Applications
Abstract
The authors develop a measurement scale tapping Pine and Gilmore's (1999) four realms of experience that is applicable to lodging and, potentially, tourism research across various destinations. Focusing on the bed-and-breakfast industry, the authors conducted preliminary qualitative studies and a subsequent field survey to collect data from bed-and-breakfast owners and guests to develop and test a proposed model of experience economy concepts. The proposed measurement model includes four realms of experience and four theoretically justifiable nomological consequences. The data supported the dimensional structure of the four realms of experience, providing empirical evidence for both face and nomological validities of these realms and a starting point for measuring emerging experience economy concepts and practices within lodging and tourism settings. The authors discuss ways the measurement scale can be further refined for adoption by destination marketers and directions for future research.
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
Measuring emotion: The self-assessment manikin and the semantic differential
Bradley, M. M., & Lang, P. J. (1994) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/0005-7916(94)90063-9 · Cited by 9,538
Servicescapes: The Impact of Physical Surroundings on Customers and Employees
Bitner, M. J. (1992) · Journal of Marketing · doi:10.2307/1252042 · Cited by 7,271
Cited by
Kim, J.-H. (2018) · Journal of Travel Research · doi:10.1177/0047287517721369 · Cited by 679
Conceptualising technology enhanced destination experiences
Neuhofer, B., Buhalis, D., & Ladkin, A. (2012) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2012.08.001 · Cited by 541
Zatori, A., Smith, M. K., & Puczko, L. (2018) · Tourism Management · doi:10.1016/j.tourman.2017.12.013 · Cited by 388
The accommodation experiencescape: a comparative assessment of hotels and Airbnb
Mody, M. A., Suess, C., & Lehto, X. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2016-0501 · Cited by 379
Investigating the effects of smart technology on customer dynamics and customer experience
Foroudi, P., Gupta, S., Sivarajah, U., & Broderick, A. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.11.014 · Cited by 286
Metadata
- Authors
- Oh, H., Fiore, A. M., & Jeoung, M.
- Venue
- Journal of Travel Research
- Publisher
- SAGE Publications
- Published
- 2007-11
- Volume
- 46
- Issue
- 2
- Pages
- 119-132
- ISSN
- 0047-2875 (ISSN-L)
- 1552-6763
- OpenAlex
- W2131113076
- Cited by
- 1,830
- References
- 15
- FWCI
- 37.26
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.