The effects of service quality on internet service provider customers’ behaviour : A mixed methods study

Purpose – The purpose of this paper is threefold: first, to identify the dimensions for evaluating the service quality of internet service providers (ISPs); second, to investigate the relationship between service quality and customers’ behavioural intentions; and third, to investigate the influence of ISP customers’ usage patterns on their perceptions of ISP’s service quality dimensions. Design/methodology/approach – The study employs a sequential exploratory mixed method design incorporating quantitative and qualitative elements. Data in Study 1 was obtained from 2,059 internet users using an online survey. The relationships between the constructs of the proposed conceptual model were tested using structural equation modelling and the bias corrected bootstrapping technique. Also, the moderating effect of internet usage was examined. Study 2 featured 30 in-depth interviews with internet users. Findings – The findings reveal that dominant service quality dimensions for ISPs were network quality, customer service, information quality and privacy. The contribution of these factors to overall service quality was moderated by the internet usage. Results of Study 2 indicate that most respondents with heavy usage found network quality indifferent among ISPs and demonstrated hesitation in direct contact with customer service, making information support the most significant dimension. Additionally, service quality directly influenced customers’ complaining and switching intention. It was clarified in Study 2 that intention to continue the contract also depended on factors such as switching barriers, value and promotional offers. Originality/value – This study is original in that it is among the first studies to attempt to investigate the dimensions of an ISP’s service quality, and its influence on ISP customers’ behaviours. An additional contribution of the study stems from the incorporation of a sequential explanatory mixed methods approach.