2021
DOI: 10.1016/j.jbusres.2021.01.011
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Turning social endorsement into brand passion

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Cited by 24 publications
(20 citation statements)
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“…Subsequent studies have utilized this technique in various research designs. For instance, Thai and Wang (2020) and Wang et al (2021) employed fsQCA to examine the structural associations of social endorsement and customer-brand relationship. Huarng and Yu (2020) applied the technique to explore the impact of surge pricing and customer loyalty on satisfaction, thereby leading to customer retention in ride-sharing services.…”
Section: Fuzzy Set/qualitative Comparative Analysismentioning
confidence: 99%
“…Subsequent studies have utilized this technique in various research designs. For instance, Thai and Wang (2020) and Wang et al (2021) employed fsQCA to examine the structural associations of social endorsement and customer-brand relationship. Huarng and Yu (2020) applied the technique to explore the impact of surge pricing and customer loyalty on satisfaction, thereby leading to customer retention in ride-sharing services.…”
Section: Fuzzy Set/qualitative Comparative Analysismentioning
confidence: 99%
“…Brands strive to create this love and passion in consumers' life so that it plays a central role in their consumption behavior (Gilal et al, 2019b). One of the ways to comprehend these links is to concentrate on the concept of "passion" (Gilal et al, 2018;Wang et al, 2021). A consensus exists among nearly all marketing researchers that passion is an important determinant in raising brand loyalty and involvement (Albert et al, 2008;Gilal et al, 2019cGilal et al, , 2019d, thus boosting the consumption behavior toward a product.…”
Section: Introductionmentioning
confidence: 99%
“…For the variables (constructs) composed of more than one item, the average is calculated (Crespo et al, 2019;Kaya et al, 2020). Next, the anchors at points 7, 4, and 1 are used, respectively, to calibrate the variables (Cruz et al, 2022;Galeazzo & Furlan, 2018;Wang et al, 2021). The other variables considered (age, gender, and time in the company) are calibrated according to their binary nature (Ragin, 2008).…”
Section: Fsqca Analysismentioning
confidence: 99%