A structural equation model of effective variables on service quality in capital industrial goods sector

Purpose – The purpose of this research is analyzing the service quality in capital industrial goods sector by developing a model and new view. So the authors studied several models and articles for exploring the effective variables on service quality and tested them in Aras Haitian Machinery Company that is one of the biggest manufacturers of plastic machinery in Iran and China. Design/methodology/approach – The statistics population included all customers of Aras Haitian Company in 2012 that were scattered in whole Iran and all of them are manufacturers of industrial goods. And finally 102 customers chose by using simple random sampling method. The way of SPSS statistical analysis software was used for exploratory factor analysis and LISREL software for structural equation model (SEM). Findings – Results indicated that there were three new factors (customer perception, customer relation and specialized competencies) that affected on perceived service quality of customers in capital industrial goods sector. The findings showed that these three factors were measured by ten subdimensions through a SEM. Originality/value – This study is the first to explore the effective variables on perceived service quality in capital industrial goods sector with viewpoint of service dominant logic in Iran andalso proposed the first SEM under the rubric of industrial service quality model in this section.