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Автор Snee, Helena R.
Автор Goode, Mark M. H.
Автор Moutinho, Luiz A.
Дата выпуска 2000
dc.description ABSTRACTThis research study uses an ordered probability model (commonly referred to as an ordered probit model, see Aldrich & Nelson, 1984) to predict customer overall satisfaction gained from the use of ATMs, using two different countries namely the United Kingdom and Hungary. Overall satisfaction is seen in this study as the end result of a combined number of antecedents. This model expands on the work of Goode and Moutinho (1996) and Peel, Goode and Moutinho (1998) which linked a number of antecedent variables to customers' overall satisfaction using a United Kingdom data set. Hungary was randomly selected to test whether this model could be generalised across European countries. Identical methodology and questionnaire design was used to collect the data in Hungary (with the questionnaire being translated into Hungarian). The research is based on the analysis of personal interviews with a total sample of 482 individuals, 380 consumers from the UK and 102 consumers from Hungary. A joint model utilising intercept and slope dummy variables was estimated and analysed. Overall the predicted accuracy of an ordered probit model was found to be high in both countries.
Формат application.pdf
Издатель Taylor & Francis Group
Копирайт Copyright Taylor and Francis Group, LLC
Тема ATMs
Тема banks
Тема ordered probit models
Тема cross country study
Тема United Kingdom
Тема Hungary
Тема overall satisfaction
Название Predicting Customer Satisfaction from ATMs: A Cross Country Study
Тип research-article
DOI 10.1300/J090v20n02_10
Print ISSN 0748-4623
Журнал Journal of Professional Services Marketing
Том 20
Первая страница 133
Последняя страница 149
Аффилиация Snee, Helena R.; University of Glamorgan
Аффилиация Goode, Mark M. H.; Cardiff Business School
Аффилиация Moutinho, Luiz A.; Glasgow University
Выпуск 2
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