Tuesday, September 17, 2019

Benchmarking hotel service quality using two-dimensional importance-performance benchmark vectors (IPBV)

CITATION
Hemmington, N., Kim, P. B., & Wang, C. (2018). Benchmarking hotel service quality using two-dimensional importance-performance benchmark vectors (IPBV). Journal of Service Theory and Practice, 28(1), 2-25

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ABSTRACT
Purpose – Importance-performance analysis (IPA) is an effective tool for firms to prioritise service quality
attributes, but has limitations in evaluating and enhancing service quality within a competitive environment.
The purpose of this paper is to present an evolved model of IPA – importance-performance benchmark vectors
(IPBV) – as a benchmarking tool and investigate its applicability in the context of hotel service quality.
Design/methodology/approach – Empirical studies based on self-completion survey data from 150
customers of two full-service hotels in Taiwan were conducted in to examine the practical utility of IPBV.
Findings – Eight key benchmark typologies were identified and expressed as vectors in the IPBVmodel which
are as follows: “sustainable advantage”, “potential strength”, “false advantage or outstanding advantage”,
“cease-fire competition”, “false disadvantage or on-hand disadvantage”, “potential weakness”, “dangerous
warning” and “head-on competition”.
Research limitations/implications – The paper extends the methodology to more cases, and other service
industries to test further the discriminatory power of the model and to explore the descriptors in the IPBV vector
model. Alternative seven-point or nine-point Likert scales could be explored to test the discriminant validity using
means. The alternative IPA diagonal approach focussing on GAP analysis may reveal alternative interpretations
for the IPBV vector model. Other extended models of IPA, which include competitor analysis, should be
compared in practice using a data set where both quantitative and qualitative data could be generated.
Practical implications – The paper proposes the two-dimensional IPBV model which retains the
advantages of IPA, but also includes competitor or benchmark comparisons which enable organisations to
analyse their relative competitive position. The two-part model provides both quantitative information and
qualitative interpretation of relativities. The graphical matrix models provide simple quantitative analysis of
attributes, whilst the IPBV vector model provides qualitative interpretations of the eight competitive market
positions. Vector analysis enables the development of competitive strategies relative to benchmarks, or within
a competitive set. Importance is retained and means that organisations can benchmark against a range of
competitors prioritising specific attributes for resource allocation.
Social implications – The interpretive utility of the model should be explored with practitioners and
decision makers in the service industries. The model has been designed for practical use in industry to inform
operational and strategic decision making, its usefulness in practice should be explored and the attitudes of
practitioners to the model should be tested.
Originality/value – Traditional approaches to benchmarking have adopted a one-dimensional approach that
does not include a measure of the relative importance of the service quality dimensions in specific markets. This
research develops a two-dimensional advanced model of IPA, called IPBV, which is based on vector
relationships between key attributes of service quality. These vectors are explored and described in competitive
terms and the model is discussed with regard to its implications for industry, practitioners and researchers.
Keywords Benchmarking, Hotel service attributes, Importance-performance analysis (IPA),
Importance-performance benchmark vectors (IPBV)


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