A survey of customer satisfaction, expectations and perceptions as a measure of service quality in SANBS

Abstract

The purpose of the study is to evaluate the service quality that the SANBS provides to its customers, by measuring customers' perceptions and their expectations of service quality provided by the supplier of blood transfusion services. The organization that is used for this study is the South African National Blood Service (SANBS). Specifically the study seeks to: 1. Determine the extent to which customers are satisfied or not satisfied with the service they receive from the SANBS using the ten-dimensional format of SERVQUAL model, modified to the specific service quality requirements of the blood transfusion service industry. 2. Establish customers' perceptions of the service they receive using a multiple-item scale (SERVQUAL) for measuring consumer perceptions of service quality. 3. Establish customers' expectations of the service, and compare them to their perceptions of the service they currently receive. The comparison is made along each service quality dimension, across different parts of same service on a geographical basis, and across different customer groups on a customer category (or type) basis. 4. Recommend implementation of appropriate service quality performance improvement procedures where necessary. Study design and methods: The data for the study came from the SANBS' customer perception and expectation survey conducted in 2005. Questionnaires were sent out to hospitals that use products and services provided by the SANBS in the Eastern Cape and KwaZulu-Natal Provinces of South Africa. The questionnaire was based on the multiple-item SERVQUAL model for measuring consumer perceptions of service quality, modified and tailored to specific service quality requirements of the blood transfusion service industry. Questionnaires were sent out to 113 (69.3%) hospitals out of a total of 163 blood-utilizing hospitals in the two provinces. Of the 113 hospitals, 92 (81.4%) responded, with questionnaires rendered unusable. The final sample size is 88 and is included in the final study database. The data is analyzed by comparing different parts of the service on a geographical basis namely KwaZulu-Natal and Eastern Cape zones. The data is also analyzed by comparing different customer groups namely the Rural State Hospitals, the Urban State Hospitals and Private Hospitals. Results: The result confirms the research (alternative) hypo