The Excellence Grid – a tool to identify attributes that drive service excellence

The purpose of this paper is to develop a tool, “The Excellence Grid,” to categorize attributes on the basis of their ability to impact customer perception of “excellence” in service compared to perception of “good” service. In addition, provide a three dimensional (3D) model for excellence-performance analysis, which can aid managers in formalizing the strategies for building perceptions of excellence about the service.

The positive zone of performance is analyzed through a two-function modeling technique of ordinal logistic regression (OLR) with the non-proportional odds to categorize attributes on grid. Tool is applied to two case studies to validate and establish the asymmetric impact of attributes on perceptions of “good service” and “excellent service.”

Similar to the Kano model for impact of attributes on positive and negative performances, findings from cases confirm the asymmetric impact of attributes on the positive zone of performance and establish “Excellence Grid” as a means to categorize attributes as drivers of excellence.

The “Excellence Grid” tool is expected to empower managers to focus on strategies directed toward the goal of “service excellence” and recommends that managers should not only strive for process improvement, but also sharpen the external communication of service excellence.

The “Excellence Grid” and the “3D Excellence-Performance model,” proposed in this research, are expected to enrich the body of knowledge on operational tools to achieve service excellence. Using parameter estimates of the two-function model of OLR for service quality has not yet been reported in open literature.