2021
DOI: 10.1080/15332861.2021.1889818
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Relational Dynamics between Customer Engagement, Brand Experience, and Customer Loyalty: An Empirical Investigation

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Cited by 30 publications
(25 citation statements)
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“…Additionally, these factors also influence customer purchase intention [20,24]. Previous studies related to information systems have made us understand the way individuals adapt to new technologies [32][33][34][35]. A literature review on technology acceptance and mobile shopping suggests that a number of theories based on information systems and technology adoption, which are extended with other variables, are used to examine the adoption of mobile devices and their use in the purchase of products and services.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Additionally, these factors also influence customer purchase intention [20,24]. Previous studies related to information systems have made us understand the way individuals adapt to new technologies [32][33][34][35]. A literature review on technology acceptance and mobile shopping suggests that a number of theories based on information systems and technology adoption, which are extended with other variables, are used to examine the adoption of mobile devices and their use in the purchase of products and services.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A literature review on technology acceptance and mobile shopping suggests that a number of theories based on information systems and technology adoption, which are extended with other variables, are used to examine the adoption of mobile devices and their use in the purchase of products and services. The technology acceptance model (TAM) proposed by Davis [35] is a widely used model for evaluating consumer acceptance of new technology. The TAM uses variables like perceived ease of use and perceived usefulness to predict behavior intention [2,10].…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Successively, bootstrapping was used. As suggested by recent studies (see, e.g., Kaur et al, 2020;Khan et al, 2019;Rasool et al, 2021), in full mediation, the predictor (service encounter) affects the outcome variables (customer loyalty) only through its effect on the mediating variable (experiential value). Conversely, in partial mediation, the predictor (service encounter) affects the criterion variable (customer loyalty) directly, as well as indirectly through its effect on the mediator variable (experiential value; Baron & Kenny, 1986).…”
Section: Mediation Analysismentioning
confidence: 92%
“…When they find themselves in a psychological state of satisfaction, they tend to move on keeping these brands attached with their personality making them converted into loyal customers. The companies with their continuous improvement strategies, try not only to strengthen their relationship with customers but also to enhance their customer-base (Kang, 2021;Rasool et al, 2021). This reveals that marketing communication becomes a good source to develop customer loyalty for the brands.…”
Section: Relationship Between Marketing Communication and Customer Loyaltymentioning
confidence: 99%