Title: MGT0666 Telecommunication Marketing
1MGT0666 Telecommunication Marketing
SERVQUAL A Multiple-Item Scale for Measuring
Consumer Perceptions of Service
Quality 20040257 HAN SANG-YEAL November 2th,
2004
2 Purpose
SERVQUAL is a 22-item instrument for
assessing customer perceptions of service quality
in service and retailing organizations.
-
- To describe the development of a multiple-item
scale for measuring service quality (SERVQUAL) - Discuss the Scales properties and potential
applications -
3 Contents
-
- Describe a discussion of the conceptualization
and operationalization of the service quality
construct - Describe the procedures used in constructing and
refining a multiple-item scale to measure the
construct - Present evidence of the scales reliability,
factor structure, validity on the basis of
analyzing data from four independent samples -
- Present a discussion of potential applications
of the scale
4 Summary of Steps Employed in Developing the
Service-Quality Scale
5Summary of Steps Employed in Developing the
Service-Quality Scale
Reliability 4 items
Tangibles
Reliability
5 Dimensions Of SEVQUAL
Responsiveness
Responsiveness 4 items
Tangibles 5 items
Communications
Scale Purification
Credibility
Security
Competence
Courtesy
Empathy 5 items
Assurance 4 items
Understanding
Access
6 1st Section
Delimits the domain of the service-quality
construct and describes the generation of scale
items
7 Step 1 Employed in Developing the
Service-Quality Scale
- Perceived Quality Perceptions Expectation
-
- Perceived Quality
- - The consumers judgment about an entitys
overall excellence or superiority - Perception
- - Perception of performance of service that a
firm offer resulted by the - incidents of satisfaction
- Expectation
- - Viewed as desires or wants of consumers (what
should be offered by SP) -
8 Step 2 Employed in Developing the
Service-Quality Scale
- Tangibles, Reliability, Responsiveness,
communication, credibility, security, competence,
courtesy, understanding/knowing the customer ,
access - - The result of exploratory Research of
Parasuraman Zeithaml, and Berry - (1985)
9 Step 3 Employed in Developing the
Service-Quality Scale
- Each item was recast into two statements
- a. to measure expectations about firms in
general within the service category - being investigated. gt E1. They should
have up-to-date equipment. - b. to measure perceptions about the particular
firm whose service was being - assessed. gt P1. XYZ has up-to-date
equipment. - A seven-point scale ranging from Strongly
Agree(7) to Strongly - Disagree(1)
10 2nd Section
Presents the data-collection and
scale-purification procedures
11 Step 4 Employed in Developing the
Service-Quality Scale
- Screened and qualified respondents a two-part
questionnaire consisting a 97-statement
expectations part followed by a 97 statement
perceptions part. -
12 Step 5 Employed in Developing the
Service-Quality Scale
- 97-item instrument was refined by analyzing
pooled data to produce a scale that would have
general applicability -
- Coefficient alpha
- - To estimate the reliability of data under
- conditions when you have two or
- more comparable scores per person
- Factor analysis
- - To reduce a large number of variables
- to a smaller number of factors for
- modeling purposes
- Oblique rotation
- - Produce a factor-loading matrix that
- was by and large easy to interpret
-
13 Step 6 Employed in Developing the
Service-Quality Scale
- The 34 item scale instrument ready for further
testing with data from new samples - - The average pairwise correlation among the
seven factors following oblique - rotation .27 (with relatively high factor
loadings refer to the table in the next slide ) - - High alpha value indicated good internal
consistency among items within each - dimension.
- - The combined reliability for the 34-item
scale is quite high .94
Summary of Results from First Stage of Scale
Purification
14 Step 6 Employed in Developing the
Service-Quality Scale
15 Step 6 Employed in Developing the
Service-Quality Scale
16 Step 7 Employed in Developing the
Service-Quality Scale
- To qualify for the study, respondents had to
have used the services of the firm in question
within the past three months -
17 Step 8 Employed in Developing the
Service-Quality Scale
- Two differences occurred consistently across four
independent samples and data sets gt further
purification of the 34-item scale - a. The corrected item-to-total
correlations for several items and the alphas for
the corresponding dimensions were lower than
those obtained first stage - gt A few items with relatively low
item-to-total correlations were deleted - b. The factor-loading matrices obtained
form all four analyses showed much greater
overlap between dimensions D4 and D5, and between
dimensions D6 and D7 - gt Combined D4 and D5 Communication
Courtesy Assurance - gt Combined D6 and D7 Understanding
Access Emphathy -
-
18 Step 9 Employed in Developing the
Service-Quality Scale
Summary of Results from Second Stage of Scale
Purification
Parsimonious mean (34-items gt 22-items)
19 3rd Section
Provides an evaluation of the scales reliability
and factor structure
Reliability The consistency of a score from a
test
Validity (accuracy) The extent to which a
test measures what it is designed to measure
20 Step 10 Employed in Developing the
Service-Quality Scale
- The reliabilities are consistently high across
all four samples - - The total-scale reliability is close to .9
in each of the four instances - (Bank, Credit Card, Repair and Maintenance,
Long-distance Telephone) -
- The overall patterns of factor loadings are
remarkably similar across the four independent
sets of results -
- Relatively low intercorrelations among the five
factors supports the distinctiveness of SERVQULs
five dimensions
Factor loading the correlation coefficients
between the variables and factors
21 Step 10 Employed in Developing the
Service-Quality Scale
- The reliabilities and factor structures indicate
that the SERVQUAL have sound and stable
psychometric properties - - SERVQUAL would be meaningful to a variety
of service firms. -
- Items under each of the five dimensions can be
suitably reworded and/or augmented to make them
more germane to the context in which the
instrument is to be used
22 4th Section
Deal with assessment of the scales validity
Reliability necessary conditions for a
scales construct validity - not sufficient
Validity the extent to which scores
reflect true individual characteristics, not
systematic biases or random
errors
23 Step 11 Employed in Developing the
Service-Quality Scale
- The scale must satisfy certain other conceptual
and empirical criteria to be considered as having
good construct validity - The basic conceptual criterion pertaining to
construct validity Content (face) validity - - Does the scale appear to measure what it is
supposed to? - - Do the scale items capture key facets of the
unobservable construct being measured? - - The procedures used in developing SERVQUAL gt
guarantee content validity -
- The scales validity assessed by examining its
convergent validity - - One way ANOVA for examining the
correspondence between SERVQUAL scores and - Firms Overall Q ratings
- - Duncans multiple range test investigate
ANOVA results to identify significant differences
- across the Overall Q categories
-
24 Step 11 Employed in Developing the
Service-Quality Scale
- The strength and persistence of the linkage
between the Overall Q categories and the SERVQUAL
scores across four independent samples offer
strong support for SERVQUALs Convergent validity - SERVQUAL validity was further assessed by
examining whether the construct measured by it
was empirically associated with measures of other
conceptually related variables. - - Respondents answering yes to the first
(recommend) question and no to the second - (Problem) question could be hypothesized to
perceive higher service quality than other - respondents. gt refer to the next table
Recommend the service to a friend Yes
Perceive higher service quality
Have ever reported a problem with the service
No
25 Step 11 Employed in Developing the
Service-Quality Scale
26 5th Section
Discusses potential applications of the scale
- SERVQUAL a concise multiple-item scale with
good reliability and validity that retailers can
use to better understand the service expectations
and perceptions of consumers and, as a result,
improve service
Reliability
Tangibles
Reliability
5 Dimensions Of SEVQUAL
Responsiveness
Responsiveness
Tangibles
Communications
Scale Purification
Credibility
Security
Competence
Courtesy
Empathy
Assurance
Understanding
Access
27 5th Section
Discusses potential applications of the scale
- SERVQUAL has been designed to applicable across
a broad spectrum of services - - Easy to be adapted to fit the
characteristics or specific research need of a
particular - organization
- Potential applications of SERVQUAL
- - To determine the relative importance of the
five dimensions in influencing customers
overall quality - perceptions, regress the overall quality
perceptions scores on the SERVQUAL scores for
the individual - dimensions gt refer to the table in the next
slide - - To categorizing a firms customers into
several perceived-quality segments - understand better what needs to be done to
improve its image in the eyes of a very important
group - - Multi-unit retail companies can use SERVQUAL
to assess its service performance relative to its
- principal competitors by comparing each
stores average SERVQUAL score with the scores
from - other stores.
- - To assess its service performance relative to
its principle competitors
28 5th Section
Discusses potential applications of the scale
29 Conclusion
- SERVQUAL
- - a concise multiple-item scale with good
reliability and validity that retailers can - use to better understand the service
expectations and perceptions of - consumers and, as a result, improve service
- SERVQUAL has a variety of potential applications
for wide range service and retailing
organizations - - assess consumer expectations about and
perceptions of service quality - - Pinpoint areas requiring managerial
attention and action to improve service - quality
- The validity of this instrument will stimulate
much needed empirical research focusing on
service quality and its antecedents and
consequences.