2022
DOI: 10.1016/j.ijhm.2022.103248
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Seeing is believing? Data mining to create a choice-based conjoint approach for restaurant mobile marketing

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Cited by 5 publications
(4 citation statements)
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“…, 2021) and will improve customer loyalty. On the other hand, the featured interface was also crucial for creating customer loyalty (Liu et al. , 2022).…”
Section: Resultsmentioning
confidence: 99%
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“…, 2021) and will improve customer loyalty. On the other hand, the featured interface was also crucial for creating customer loyalty (Liu et al. , 2022).…”
Section: Resultsmentioning
confidence: 99%
“…, 2019). Regarding the linkage between credit rating and sales enhancement concerns, previous scholars such as Liu et al. (2022) and Wang et al.…”
Section: Resultsmentioning
confidence: 99%
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“…By computing the aggregated utility scores of a product based on the relative importance of each product/service attribute, a conjoint analysis allows researchers to analyze and predict overall consumer preferences precisely (Koo and Yeung, 1999; Rhee et al , 2016; Ruetzler et al , 2011) and market forecasting (Yoon et al , 2006). Therefore, conjoint analysis has often been used to check the acceptance of new product designs by customers and assess the attractiveness of advertisements and has also been used in product positioning in various service contexts such as hotels (Lee, 2016), restaurants (Liu et al , 2022; Rhee et al , 2016), spas (Kucukusta and Denizci Guillet, 2014) and airlines (Yoon et al , 2006).…”
Section: Methodsmentioning
confidence: 99%