A4 Article in conference proceedings
Customer Value Framework and Recommendation Intention : The Moderating Role of Customer Characteristics in an Online Travel Community (2020)
Ukpabi, D.C., Karjaluoto, H., Olaleye, S., & Mogaji, E. (2020). Customer Value Framework and Recommendation Intention : The Moderating Role of Customer Characteristics in an Online Travel Community. In J. Neidhardt, & W. Wörndl (Eds.), Information and Communication Technologies in Tourism 2020 : Proceedings of the International Conference in Surrey, United Kingdom, January 08-10, 2020 (pp. 38-49). Springer. https://doi.org/10.1007/978-3-030-36737-4_4
JYU authors or editors
Publication details
All authors or editors: Ukpabi, D.C.; Karjaluoto, H.; Olaleye, S.; Mogaji, E.
Parent publication: Information and Communication Technologies in Tourism 2020 : Proceedings of the International Conference in Surrey, United Kingdom, January 08-10, 2020
Parent publication editors: Neidhardt, Julia; Wörndl, Wolfgang
Conference:
- Information and Communication Technologies in Tourism
Place and date of conference: Surrey, United Kingdom, 8.-10.1.2020
ISBN: 978-3-030-36736-7
eISBN: 978-3-030-36737-4
Publication year: 2020
Pages range: 38-49
Number of pages in the book: 322
Publisher: Springer
Place of Publication: Cham
Publication country: Switzerland
Publication language: English
DOI: https://doi.org/10.1007/978-3-030-36737-4_4
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/67328
Publication is parallel published: https://gala.gre.ac.uk/id/eprint/26384/
Abstract
The aim of this study was to develop and test a model that examined the interactions among the customer value framework, recommendation intention and customer characteristics in an online travel community (OTC). Data were obtained using Amazon Mechanical Turk from 251 members of an OTC as a sample. The partial least squares method was used to analyse the data. We found that all the variables of the customer value framework, including functional value, hedonic value and social value, were positively related to recommendation intention. In addition, using multi-group analyses, the study found differences between how different customer segments perceive each of the value dimensions and their effect on recommendation intention. Theoretical and managerial implications are offered.
Keywords: customer experience; recommendations; online services
Free keywords: customer value framework ; recommendation intention; customer characteristics; online travel community
Contributing organizations
Ministry reporting: Yes
VIRTA submission year: 2020
JUFO rating: 2