Using LibQUAL+® to Identify Commonalities in Customer ...€¦ · Using LibQUAL+® to Identify...

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Selena Killick Cranfield University Using LibQUAL+ ® to Identify Commonalities in Customer Satisfaction: The Secret to Success? Anne van Weerden Utrecht University

Transcript of Using LibQUAL+® to Identify Commonalities in Customer ...€¦ · Using LibQUAL+® to Identify...

Page 1: Using LibQUAL+® to Identify Commonalities in Customer ...€¦ · Using LibQUAL+® to Identify Commonalities in Customer Satisfaction: The Secret to Success? Author: Selena Killick

Selena Killick Cranfield University

Using LibQUAL+® to Identify

Commonalities in

Customer Satisfaction:

The Secret to Success?

Anne van Weerden Utrecht University

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Internationally Renown

Web based

Standardised

Expectations & Perceptions

LibQUAL+

LibQUAL+®LibQUAL+®

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Adequacy:

Calculated by subtracting Minimum from Perceived score.

A negative score indicates failing to meet minimum

expectations.

Superiority:

Calculated by subtracting Desired from Perceived score.

A positive score indicates exceeding desired expectations.

Adequacy and Superiority

Question 1

1 3 2 4 5 7 6 8 9

Adequacy Superiority

Desired Perceived Minimum

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Dimensions

Affect of Service

Reliability

Assurance

Responsiveness

Empathy

Self-Reliance

Equipment

Timeliness

Ease of Navigation

Convenience

Scope of Content

Information Control

Refuge

Symbol

Utilitarian Space

Library as Place

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LibQUAL+ Radar Chart

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Commonalities in Satisfaction?

Affect of Service Information Control Library as Place

? ?

?

?

?

?

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Commonalities in Dissatisfaction?

?

Affect of Service Information Control Library as Place

? ?

? ?

?

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Utrecht University, Netherlands

n = 1,851 (long)

Leiden University, Netherlands

n = 3,761 (lite)

SCONUL Consortium

17 Higher Education Institutions from the UK and Ireland

n = 28,208 (lite/long)

All surveys conducted Jan-Dec 2012

Sample Group

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Methodology

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Starting with the combined data 2012: SCONUL, n = 28208 (mixed) Leiden University n = 3761 (lite) Utrecht University n = 1851 (long)

ntot = 33820

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We removed 5717 responses, from library staff, and everyone with inversions anywhere This resulted in a larger bandwith

ntemp = 28103

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We also removed 1057 surveys without any answer in one of the sections, not knowing what the respondent might have said about this section in connection with the other two sections

nused = 27046 = 80%

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Definitions of satisfied/dissatisfied

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Neither satisfied

nor dissatisfied

Someone with an average score of

5,2 6,3 7,4

is just .....ok

min des

perc

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Satisfied

Someone with an average score of

6,0 6,2 6,1

can hardly be called satisfied

What we looked for is

min des

perc

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Satisfied

Superiority gap > 0

des______________perc perceiving even more than desired

xxxxxxxxxxxxxxxxxxxxxxxxxxxx Adequacy gap > 1

min______________perc

perceiving clearly more than minimum

<more than 1>

<more than 0>

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Dissatisfied

Someone with an average score of

5,1 5,0 5,2

can hardly be called dissatisfied

What we looked for is

min des

perc xxxxxxxxx

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Dissatisfied

Adequacy gap < 0

perc______________min percieving even less than minimum

xxxxxxxxxxxxxxxxxxxxxxxxxxxx Superiority gap < -1

perc______________des percieving clearly less than desired

<more than 1>

<more than 0>

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Definitions of satisfied/dissatisfied

Satisfied

Superiority gap > 0 Adequacy gap > 1

Dissatisfied

Adequacy gap < 0 Superiority gap < -1

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Outcomes

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Selecting for Positive AS scores Adequacy gap > 0 Superiority gap > 1 n = 4135

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Selecting for Positive LP scores Adequacy gap > 0 Superiority gap > 1 n = 3151

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Selecting for Positive IC scores Adequacy gap > 0 Superiority gap > 1 n = 2171

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Selecting for Negative LP scores Adequacy gap < 0 Superiority gap < -1 n = 7367

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Selecting for Negative IC scores Adequacy gap < 0 Superiority gap < -1 n = 6525

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Selecting for Negative AS scores Adequacy gap < 0 Superiority gap < -1 n = 3531

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It can be seen that the desired scores of this group are the highest of all Interpreting these scores, they are likely the most demanding group, asking a lot from the personnel

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Next, we wanted to know what the differences were between the

Average Respondents (All)

and the various roles,

Students (Undergraduates)

Postgraduates Staff

Academic staff (Faculty)

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We expected to find different outcomes for faculty and students,

such as

students have a lot to ask,

faculty just want their literature quickly

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Surprisingly,

the outcomes

are always

almost the same

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All pos / neg IC pos / neg LP pos / neg AS

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Students pos / neg IC pos / neg LP pos / neg AS

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Postgrads pos / neg IC pos / neg LP pos / neg AS

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Staff pos / neg IC pos / neg LP pos / neg AS

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Faculty pos / neg IC pos / neg LP pos / neg AS

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For certainty....,

or just

amazing:

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All

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Students

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Post- graduates

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Staff

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Faculty

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Some statistics

to see if our claims

are significant

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All

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Made with Statistica Group -1 =

not meeting selected criteria: libstaff, inversions, a section without answers

Group 0 = intermediate IC = red LP = green AS = blue

Group 1 = dissatisfied: Group 2 = satisfied: adq gap < 0 xxsup gap > 0 sup gap < -1 xxadq gap > 1

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All

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-1 = excluded, 0 = neutral

-1 = negative, 2 = positive

IC = red

LP = green AS = blue

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Conclusions

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Statistically significant correlations:

Satisfaction with Information Control & satisfaction overall

Dissatisfaction with Affect of Service & dissatisfaction overall

Dissatisfied respondents are also the most demanding

Correlation ≠ Causation

Conclusions

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Thank You.

Selena Killick Cranfield University

[email protected]

Anne van Weerden Utrecht University

[email protected]