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Identifying Customer Satisfaction

The Mystery Customer Approach
Authors: Loukas K. Tsironis;

Identifying Customer Satisfaction

Abstract

The purpose of this article is to increase the customer service level by expanding the method of application used by the mystery customer (MC) to resolve practical and concrete problems concerning the status of chain stores. The survival of organisations can often be dependent on their customer service level; therefore, there is an immediate need to form a permanent measurement to act as an indicator of that performance. This article concerns the application of MC methods in order to observe the level of quality service in a large retail network in Greece. Based on a quantitative methodology, the research seeks to utilize information concerning the retail operations performance and the factors that influence the evaluation. The results suggested an explicit determination of the factors of satisfied customers through the application of MC method. Action diagrams used as a performance-importance map indicate strong and weak points in terms of criteria and define the required improvement efforts. MC data showed the points or issues that service activities performance is likely to cause dissatisfaction and enables proactive measures to be taken on employee performance and classifies the improvement areas that determined by the analysis and used as a benchmarking tool.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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