2019
DOI: 10.1016/j.foodqual.2018.12.007
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Exploring customer perceptions toward different service volumes: An integration of means–end chain and balance theories

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Cited by 18 publications
(21 citation statements)
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“…MECs explore the important meanings that individuals/consumers attribute to products/events through their cognitive schemas in order to describe their innermost thoughts about the products or events [ 37 , 38 , 39 ]. MECs are based on the relationship between the attributes of the product/event, associated consequences/feelings after consumption, and the personal values achieved [ 36 ].…”
Section: Literature Reviewmentioning
confidence: 99%
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“…MECs explore the important meanings that individuals/consumers attribute to products/events through their cognitive schemas in order to describe their innermost thoughts about the products or events [ 37 , 38 , 39 ]. MECs are based on the relationship between the attributes of the product/event, associated consequences/feelings after consumption, and the personal values achieved [ 36 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…For a sample size of 20 samples, the cut-off level is a frequency of at least twice before it appears in the HVM [ 43 ]. The results of the MEC analysis have been used to develop effective strategies in the fields of tourism, leisure/recreation, education, and virtual leisure [ 2 , 38 , 39 , 50 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Aggregating individual MECs from customers enables researchers to form a tree diagram, namely, an HVM, which visualizes customers' innermost thinking toward a particular product or service. Today, MECs have become a representative theory to reveal consumers' innermost cognitive structure of a particular product/service [14]. In practice, MEC theory has been widely used to deal with issues in the retail, communication, tourism, and healthcare industries [13,15,16,17].…”
Section: Literature Review Means-end Chain (Mec) Theorymentioning
confidence: 99%
“…Consequently, setting a cut-off value is essential before constructing the HVM. The basic idea for the cut-off value determination is the use of a relatively small number of cells in the summary implication matrix to represent a large portion of the total number of linkages [5,11,14,28,29]. A detailed discussion of cut-off point determination and related criteria was provided in Pieters et al [28].…”
Section: Mec and Kano Analysesmentioning
confidence: 99%
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