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2017
DOI: 10.1016/j.intmar.2017.02.001
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Mobile Shopping Through Applications: Understanding Application Possession and Mobile Purchase

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Cited by 91 publications
(70 citation statements)
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References 24 publications
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“…size of order, order rate, and money spent) has derived an attention over the related body of mobile shopping literature (i.e. Kim et al, 2017).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…size of order, order rate, and money spent) has derived an attention over the related body of mobile shopping literature (i.e. Kim et al, 2017).…”
Section: Literature Reviewmentioning
confidence: 99%
“…A comparative study of Chinese and American mobile shopping adopters was conducted by Lu et al (2017), who found that there are significant differences between United States (US) and Chinese customers in terms of the impact of perceived privacy on the customer's intention to keep using mobile shopping, which could be attributed to cultural values relating to individualism and collectivism. Kim et al (2017) aimed to discover the impact of a customer's digital and mobile experience on the customer's mobile buying behaviour. They found that smartphone users familiar with online and mobile applications are more likely to engage with the purchasing process of mobile shopping.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Moreover, the feedback of past behavior (see, Anesbury, Talbot, Day, Bogomolov, & Bogomolova, 2020;Sharp et al, 2012) should be taken into account, as it is likely to underpin continued use, irrespective of it resulting from a more thoughtful evaluation of the app's benefits or simpler decision-making based on recognizing the branded app. On occasion, past research on mobile apps has considered the feedback of past behavior primarily in relation to the initial adoption of apps (e.g., Kim, Kim, Choi, & Trivedi, 2017;Liu, Zhao, & Li, 2017;Newman, Wachter, & White, 2018;Viswanathan et al, 2017). Therefore, there is scope for considering the role of past behavior in the decisionmaking process leading to the continued use of branded apps.…”
Section: Introductionmentioning
confidence: 99%
“…In the specific instance of mobile apps, past research has seldom considered the influence of past behavior and, when accounting for it, it has been considered primarily as a determinant of apps' adoption and initial use. For example, a few studies have highlighted as important drivers of apps' discovery and use: (a) mobile experience and browsing behavior (e.g., Kim et al, 2017); (b) acquisition frequency and recency (Liu et al, 2017); (c) usage frequency and recency (Newman et al, 2018;Viswanathan et al, 2017); and (d) active app usage or consumer voluntary participation (Chung, 2015;Mäki & Kokko, 2017). Moreover, empirical studies based on the analysis of panel data revealed that many categories of apps are characterized by high levels of usage concentration.…”
mentioning
confidence: 99%
“…Smart devices and technologies have enabled consumers to display their shopping power 24/7/365 from everywhere, at their convenience. Consumers skillfully conduct research prior to buying across retailers, manage their orders, contribute to Word of Mouth, or conduct other transactions simply with mobile devices using m-wallets [20][21][22][23][24][25]. Correia named these individuals "Fluid consumers" who use mobile technologies to flow easily between different transactions at any time and any place [26].…”
Section: Introductionmentioning
confidence: 99%