Determining consumer satisfaction and commitment through self-service technology and personal service usage

This paper expands research into self-service technology in the service encounter. Self-service technology is where customers deliver service themselves using some form of a technological interface. There is still a great deal unknown about self-service technology, in particular its impact on consumer satisfaction and consumer commitment. With that in mind, this empirical study explores the relative impact of self-service technology on consumer satisfaction and on a multidimensional measure of consumer commitment containing affective commitment, temporal commitment and instrumental commitment. The results reveal that in a hotel context personal service still remains very important for assessments of satisfaction, and affective and temporal commitment. What is particularly interesting is that self-service technology, while impacting these constructs, also impacts instrumental commitment. This suggests that positive evaluations of self-service technology may tie consumers into relationships with hotels. A discussion and implications for managers are provided on these and other results, and the paper is concluded with further potential research.

Evaluating service quality and customer satisfaction evaluation in an emerging markets

Developing economies offer tremendous potential for future growth and organizations appreciating these consumers’ requirements stand to reap considerable returns. However, compared with more developed economies published consumer studies are few. In particular, there is a dearth of service quality research and hardly any from Africa. Furthermore, the little available research tends to apply Western methodologies, which may not be entirely appropriate. This research investigates East African consumer perceptions of retail banking using an approach that takes account of the research context. Qualitative research was undertaken to define the relevant service attributes. Performance along these was then investigated through a survey with over 2000 respondents. Principal component analysis identifies 13 core service dimensions and multinomial logistic regression reveals which are the key drivers of customer satisfaction. Comparison of the results with studies from other regions confirms that established standardized research instruments are likely to miss or under-represent service attributes important in developing countries.

E-satisfaction:a re-examination

E-satisfaction as a construct has gained increasing importance in the marketing literature in recent times. The examination of consumer satisfaction in an online context follows the growing consensus that in Internet retailing, as in traditional retailing, consumer satisfaction is not only a critical performance outcome, but also a primary predictor of customer loyalty and thus, the Internet retailer's endurance and success. The current study replicates the initial examination of e-satisfaction within the U.S. by [Szymanski, David M., & Richard T. Hise (2000). E-satisfaction: An initial examination. Journal of Retailing, 76(3), 309–322] among a sample of online consumers drawn from Germany. The replication was extended to two contexts—consumer satisfaction with Internet retail shopping and consumer satisfaction with Internet financial services sites. The results yield rich insights into the validity of extending the measurement and predictors of e-satisfaction to a trans-national context.

Dimensions of satisfaction in retail settings:a research note

Taking issue with the prevalent practice of measuring customer satisfaction with a single global measurement item, this article stresses the importance of measuring customer satisfaction through its underlying dimensions, especially in retail settings. Empirical results of a survey of 351 consumers demonstrate that (a) consumer satisfaction with retail stores has 6 key dimensions, (b) the suggested dimensions of retail satisfaction predict overall satisfaction, and (c) the dimensions of retail satisfaction have a greater effect on overall satisfaction than SERVQUAL dimensions. However, the predictive power of the dimensions of retail satisfaction is still fairly low. Implications for retail management as well as academic research are outlined.