Dataset on customer experience and satisfaction in healthcare sector of Nigeria

Abstract

The central aim of the study was to show a dataset that empirically examines the connection between customer experience (CE) and customer satisfaction (CS). Few or no research have investigated how customer experience can be used to improve customer satisfaction in the healthcare sector of Nigeria. The study therefore adopted a survey research and the data were generated via a structured questionnaire. A total of 365 copies of the questionnaire were retrieved from the customers of the selected four private hospitals in Lagos State. The questionnaire administered were analysed using SPSS (version 22). Using the descriptive and the Categorical Regression CATREG analysis, the data explained how customer experience have a significant relationship with customer satisfaction. The data gathered is provided openly so as to facilitate further analysis

Information communication technology, knowledge management, job and customer satisfaction: a study of healthcare workers in Lebanon

“…Several factors have been found to affect CSAT, including employees who are friendly, courteous, knowledgeable and helpful; billing accuracy, clarity and timeliness; competitive pricing; quality and speed of service (Hokanson, 1995); service quality (Angelova and Zekiri, 2011); and value (Vrontis et al, 2017a). In the context of the above extant works, other studies have supported that health sector patients are essentially regarded as health-care customers, who deliberately make the choice to purchase the services and providers that best meet their health-care needs (Worlu et al, 2016;Borishade et al, 2018;Kim and Michelman, 1990). Regarding this, patient satisfaction and health-care quality are two important factors to achieve high quality (Borishade et al, 2018).…”

“…In the context of the above extant works, other studies have supported that health sector patients are essentially regarded as health-care customers, who deliberately make the choice to purchase the services and providers that best meet their health-care needs (Worlu et al, 2016;Borishade et al, 2018;Kim and Michelman, 1990). Regarding this, patient satisfaction and health-care quality are two important factors to achieve high quality (Borishade et al, 2018). Patient satisfaction, often defined as a desirable outcome of care, possibly representing an element of the overall health of an individual (Donabedian, 1966), has been found to be related to physician conduct, service availability, continuity, confidence, efficiency and outcomes (Ware et al, 1978); caring, empathy, reliability and responsiveness customization, professional credibility, competence and communications (Tucker and Adams, 2001).…”

Accelerated Discovery of the Polymer Matrix for Cartilage Repair Through Machine Learning Algorithms

“…10). R square indicates the variance present in the dependent variables (the output-the name of the polymers/composites) or its extent of moderation [79,80]. The R square value for all the tted data was found to be less than 50%, which is reasonable for the categorical type of dependent variable [81,82].…”

Customers’ satisfaction assessment in water laboratories

“…In the literature, employee satisfaction studies are more common than customer satisfaction studies. These were carried out in areas such as health (Allen 2013;Boev et al 2015;Borishad et al 2018;Liu et al 2019), tourism (Francesco & Roberta 2019;Gerdt et al 2019), and call centers (Walsh et al 2012;Chicu et al 2019). To our knowledge, only one customer satisfaction study has been carried out in water laboratories (Kaynar et al 2018).…”