Mobile communications: a comprehensive hierarchical modelling approach

Abstract

Purpose

Global mobile communication is one of the most dynamic and important service markets. Several researchers suggest using a theoretical approach to develop a much deeper insight into key marketing constructs such as service quality, customer perceived value, customer satisfaction, perceived switching costs, corporate image, and customer loyalty is of vital importance to the mobile communications market. This study aims to develop and test a comprehensive hierarchical model of these six important constructs. The model also incorporates the retailing function of a major mobile communication provider.

Design/methodology/approach

The research sample of 516 was drawn from customers of one of the largest mobile communications service providers in China. The data were analysed using exploratory factor analysis, confirmatory factor analysis and structural equation modelling.

Findings

The results of the study support using a hierarchical and multidimensional approach for conceptualising and measuring customers' perceptions of service quality in the mobile communications market. In addition, the findings illustrate that service quality is an important determinant of customer perceived value, customer satisfaction, corporate image, and perceived switching costs. Customer perceived value is also an antecedent of customer satisfaction. Corporate image, customer satisfaction, and perceived switching costs are three key drivers of customer loyalty. However, the findings also indicate that corporate image is not an important determinant of customer satisfaction and that customer perceived value is not a key driver of customer loyalty.

Originality/value

This is the first paper that has developed and tested a comprehensive hierarchical model of the mobile communications market.

Citation

Daniel Clemes, M., Shu, X. and Gan, C. (2014), "Mobile communications: a comprehensive hierarchical modelling approach", Asia Pacific Journal of Marketing and Logistics, Vol. 26 No. 1, pp. 114-146. https://doi.org/10.1108/APJML-04-2013-0040