Measuring online relationship avoidance in tourism research: Scale development and validationopen access
- Authors
- Pan, Huifeng; Ha, Hong-Youl
- Issue Date
- Sep-2022
- Publisher
- Elsevier BV
- Keywords
- Scale development; Avoidance; Construct validation; Online relationships
- Citation
- Journal of Hospitality and Tourism Management, v.52, pp 241 - 251
- Pages
- 11
- Indexed
- SSCI
SCOPUS
- Journal Title
- Journal of Hospitality and Tourism Management
- Volume
- 52
- Start Page
- 241
- End Page
- 251
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/2640
- DOI
- 10.1016/j.jhtm.2022.07.005
- ISSN
- 1447-6770
1839-5260
- Abstract
- This study develops and validates a multidimensional scale for measuring online relationship avoidance (ORA). ORA is particularly important for the global tourism context, for which standardizing and applying ORA measures are difficult. In this study, the authors develop and test a 31-item scale across five studies, and then create an ORA scale that includes the following six dimensions: the unknown, social attitude, psychological attitude, perceived betrayal, indifference, and variety-seeking. Results demonstrate that the scale was internally consistent, related to alternative measures and hypothesized causes and effects, thereby providing evidence of convergent, discriminant, and nomological validity. Suggestions for theoretical and practical insights into customer relationships are also offered.
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Collections - College of the Social Science > Department of International Trade > 1. Journal Articles

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