2020
DOI: 10.1108/jrim-01-2019-0012
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Impact of direct traffic effect on online sales

Abstract: Purpose This study aims to analyze the impact of newly created brand awareness on customer’s buying behavior in online environment. Design/methodology/approach The authors analyzed more than 280,000 online customer journeys from four e-commerce stores based in Slovakia. Within the results of the interaction analysis of individual customer journeys, the authors determined three criteria based on the level of theoretical brand awareness. The purpose was to determine their occurrence in real-world data. Findi… Show more

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Cited by 15 publications
(7 citation statements)
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“…A meta-analysis of 63 studies on web interactivity underlines this notion and shows that it is positively correlated with attitudes and desirable behavioral intentions of consumers (Yang and Shen, 2018). Additionally, Kakalejčík et al (2020) show that positive experiences between companies and consumers with respect to online interactions can enhance consumers' (re)visit behavior and purchase behavior. Correspondingly, Bressolles et al (2007) argue that website interactivity benefits feelings of gratification and could therefore induce buying impulses.…”
Section: Theoretical Background and Hypotheses Developmentmentioning
confidence: 99%
“…A meta-analysis of 63 studies on web interactivity underlines this notion and shows that it is positively correlated with attitudes and desirable behavioral intentions of consumers (Yang and Shen, 2018). Additionally, Kakalejčík et al (2020) show that positive experiences between companies and consumers with respect to online interactions can enhance consumers' (re)visit behavior and purchase behavior. Correspondingly, Bressolles et al (2007) argue that website interactivity benefits feelings of gratification and could therefore induce buying impulses.…”
Section: Theoretical Background and Hypotheses Developmentmentioning
confidence: 99%
“…Forth, the current study was a cross-sectional study; participants were recruited over a specific period. Therefore, for future studies, a mixed-method approach such as customer journeys of usage frequency or activities (Kakalejčík et al , 2020) or web crawling techniques with topic identification and sentiment analysis (Wolkenfelt and Situmeang, 2020) may be conducted to examine the developmental influence of continuance usage over time. Finally, this study recruited respondents from MTurk.…”
Section: Discussionmentioning
confidence: 99%
“…It is essential to note that buying decision-making is more representative than the dependent variable of consumer experience. For the customer-related criterion variables, prior studies focus on reasons behind buying decision-making, such as competitor pricing strategies (Simchi-Levi & Wu, 2018), brand awareness (Kakalejčík et al, 2020), cross-buying behaviors (Kumar et al, 2016;Gupta et al, 2021;Jayawardena et al, 2021;Almomani et al, 2021). Consumer experience heavily depended on the brand reputation (Pantano & Dennis, 2019;Silva et al, 2019) and the quality of the product (Wang et al, 2020) or service (Papanagnou & Matthews-Amune, 2018).…”
Section: Dependent Variables (Dvs)mentioning
confidence: 99%