Abstract
This
research provides a validated scale measuring an adjusted version of Kumar
& Pansari’s (2016) customer engagement (CE) scale. These adjustments to the
original scale involved: (1) the splitting of the customer influence subscale
into two separate ones, namely, customer influence with strong ties and
customer influence with weak ties; and (2) the exclusion of the customer
referral (incentivized) behavior dimension. The provided CE scale was developed
and validated for veterinary healthcare providers operating in Portugal. This
research adopts therefore the view of CE as a set of customer activities that
individually contribute to firm performance along 4 dimensions: (i) customer
purchases, (ii) customer knowledge, (iii) customer influence with strong ties,
and (iv) customer influence with weak ties. The adjusted CE scale test and
validation relied on a sample of 296 customers of a particular veterinary
healthcare group, OneVet Group, currently the market leader in Portugal.
Complementary to the validation survey, respondents’ individual
sociodemographic and purchasing information was also retrieved from the firm’s
database. The major findings were that the resulting validated scale with 16
items is highly reliable (a=.942) and has very good sampling
adequacy values (KMO=.933; p<.000), explaining 84% of the total data
variation. The results were also cluster analysed on respondents’ CE subscales’
scores which resulted on 3 major distinct CE profiles: (i) with high tendency
to perform all types of CE activities, (ii) with low tendency to perform any
type of CE activities, and (iii) with high tendency to perform purchases, but
not the three remaining CE activities. Additionally, the clusters’ average
recency, frequency, monetary value (RFM) scores and variances were compared,
however, no significant evidence was found regarding the relationship between
CE behaviours and RFM indices, i.e. customers' past
purchases. This research provides therefore a reliable and significant scale
that fits the
particularities of veterinary healthcare providers in Portugal, enabling them
to
accurately assess the connectedness among customers and with firms. Further,
the present study also suggests several options for customer segmentation
analyses in CE terms so that firms are able to identify customers’ profiles and
develop adapted strategies to maximise their contribution to firm performance.
Date of Award | 11 Jul 2022 |
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Original language | English |
Awarding Institution |
|
Supervisor | Miguel Sottomayor (Supervisor) |
Keywords
- Customer engagement scale
- Customer engagement clustering
- RFM analysis
Designation
- Mestrado em Marketing