Resumen: Purpose
The purpose of this paper is to analyse the role of perceived value on post-acceptance behaviour for users of advanced mobile messaging services (AMMS). The paper also compares differences in the influence of perceived value on satisfaction and of satisfaction on loyalty to AMMS in Spain and Greece, to test the moderating effect of culture.
Design/methodology/approach
Partial least squares path modelling is used to test the model. Perceived value is modelled as a multidimensional reflective construct with four dimensions. Culture is studied at a national level. Differences between countries are tested using the multigroup analysis approach proposed by Henseler et al. (2009).
Findings
Perceived value contributes significantly to satisfaction. Satisfaction also has a significant effect on loyalty. Regarding the moderating effect of culture, the influence of perceived value on satisfaction is higher in Greece than in Spain. The authors report similar findings for the effect of satisfaction on loyalty, demonstrating the relevant moderating role of cultures with different degrees of masculinity, uncertainty avoidance and collectivism.
Practical implications
This cross-cultural comparison enables mobile phone companies to understand how to provide the greatest value with AMMS in each country in order to increase user satisfaction and loyalty to the service.
Originality/value
This is one of the first studies that develops cross-cultural research to analyse the post-acceptance of mobile services. It analyses the effect of perceived value and satisfaction, making an original comparison of two countries generally considered too similar to be compared. Idioma: Inglés DOI: 10.1108/ITP-01-2014-0017 Año: 2017 Publicado en: INFORMATION TECHNOLOGY & PEOPLE 30, 2 (2017), 324-355 ISSN: 0959-3845 Factor impacto JCR: 1.639 (2017) Categ. JCR: INFORMATION SCIENCE & LIBRARY SCIENCE rank: 33 / 88 = 0.375 (2017) - Q2 - T2 Factor impacto SCIMAGO: 0.671 - Information Systems (Q1) - Library and Information Sciences (Q1) - Computer Science Applications (Q2)