Impact of flow on mobile shopping intention

Chen, Yi-Mu; Hsu, Tsuen‐Ho; Lu, Yu-Jou

doi:10.1016/j.jretconser.2017.04.004

Cited by 142 publications

(110 citation statements)

References 54 publications

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“…The results shed light on social interactive gratification and mobile convenience had an impact on all other gratifications. Chen, Hsu, & Lu (2018) study impact of flow on mobile shopping intention, understanding how flow mediates consumers' mobile shopping intention can help online companies to formulate effective marketing strategies. Theoretical implications and suggestions for future research are provided.…”

Section: Mobile Snsmentioning

confidence: 99%

Exploring Smartphone Users’ Social Information Behavior

Chiang

Yang

2019

CMR

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As the popularity of social network services (SNS) grows, users' online behavior is increasingly being affected by SNS browsing. Now, mobile device serve as a tool for social connection, provides an increasingly important communication channel in facilitating social connections. SNSs that are adequate for mobile devices have been developed. To clarify web user social information behavior, this study used social network sites to analyze smartphone user online behavior by collecting user clickstream data over a period of 3 months. The influence of SNS browsing on types of external sites visited-namely news, shopping, searches, forums, videos, and blogs-is examined. This study used a site-centric approach, wherein user data was examined by using association rules and the Jaccard Index to explore the relationship between SNS and other online activities. We collaborates with InsightXplorer to recruit smart phone users, collected 580 samples from the consumers who use the smartphone. First, usercentric approach will be conducted for correlation analysis to quantify the association between SNSs and other categories, and then use the results as the standard to conduct fixed effect model by exploring the duration of gender, age and weekdays/weekend at 24hrs. Second, site-centric approach will conduct correspondence analysis and association rules by using users' session to gather all categories in the graph and explore the relationship between the SNSs and the other categories. The result shows that Taiwanese smartphone users use Facebook (both Web and App) as a news-seeking, Contemporary Management Research 52 topic-seeking, video-seeking and word-of-mouth-seeking platform. That means Facebook will become a portal. When people want to find something interesting, the first thing is to open Facebook and searching their timeline. Finally, based on the findings, this study to provide a stepping stone for marketers and researchers to understand web users' social information behavior.

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Section: Mobile Snsmentioning

confidence: 99%

Exploring Smartphone Users’ Social Information Behavior

Chiang

Yang

2019

CMR

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“…Attitude involves a response that is consistent with the likes or dislikes of a person or individual towards an object. In other words, attitude is a representation of the level of preference shown by an individual towards an object [1]. Attitude refers to the evaluation of certain objects that lead to the development of a belief about object attributes.…”

Section: Attitudementioning

confidence: 99%

“…While flow functioned as a full mediator between perceived usefulness and attitude. Flow was significantly related to attitude and purchase intention [1].…”

Section: Introductionmentioning

confidence: 95%

“…Nowadays, consumers have easy and flexible access to shop using their mobile devices since many retailers and providers offer online services as a way to expand their market share. Through mobile technology, consumers can utilize fragmented time, shop online anywhere, and obtain instant satisfaction [1]. Now that many retailers are being driven towards digital development, they are not only developing websites as a platform to meet consumer demand, but also applications (apps).…”

Section: Introductionmentioning

confidence: 99%

“…Consumers also uses mobile devices and apps for purchasing. This is because in Indonesia, retailers usually offer extra promotions when 1 Nadia Afira and Elevita Yuliati are with Department of Magister Management, Universitas Indonesia, Jakarta, 10430, Indonesia. E-mail: nadiaafira08@gmail.com; elevitaprayitno@gmail.com.…”

Section: Introductionmentioning

confidence: 99%

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Factors Affecting Reuse Intention on Mobile Shopping Application

Afira

Yuliati

2019

IJPS

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Mobile apps have become a game changer in retail business. Consumers can shop anything through their smartphones anytime and anywhere. In Indonesia, various of online marketplaces such Tokopedia, Lazada, and Shopee have emerged giving customers many options to shop and they tend to switch channel easily to another shopping apps. This study tested a conceptual model describing the relationships among Technology Acceptance Model (TAM), flow, attitude towards mobile shopping apps and intention to reuse mobile shopping apps. The sample of this research is consumers who have experienced online shopping using mobile shopping apps. The data were collected from 181 respondents via online questionnaire survey. Structural Equation Modeling (SEM) was used for data analysis using AMOS version 22. The results show that perceived usefulness is significantly has a positive impact to flow while perceived ease of use is not significantly related to flow. Flow is positively related to attitude. In addition, the results indicated that attitude is one of the main predictors of consumers reuse intention towards mobile shopping apps and has a greater impact than the direct relation of perceived usefulness to reuse intention. This study extends the research scope of mobile shopping behavior and provided implications for mobile app retailing.

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Privacy concerns when using augmented reality face filters? Explaining why and when use avoidance occurs

Cowan

Javornik

Jiang

2021

Psychology and Marketing

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Augmented reality face filters (e.g., Snapchat) are ubiquitous in today's market. Yet, we know little about the impact of individuals' concerns for their own and others' privacy and sharing biometric facial data while interacting with such augmented reality face filters. Our study aims to uncover whether privacy concerns affect responses toward augmented reality face filter apps, as well as the underlying mechanisms of this process, specifically perceived usefulness and flow. First, a survey study shows that individual perceptions of privacy concerns indirectly decrease use intentions and word‐of‐mouth via perceived usefulness and flow. Second, integrating construal level theory, we demonstrate in an experimental study that users report lower use intentions and word‐of‐mouth (again mediated through perceived usefulness and flow) when providing a concrete (vs. abstract) privacy policy. Additionally, we offer evidence for boundary effects and show that these patterns emerge only when users interacted with highly hedonic filters. The research demonstrates that privacy concerns related to use of augmented reality face filters indirectly affects future behavioral intentions and explains the phenomenon through lenses of the privacy paradox and construal level theory. By accounting for how people process information, the research evidence novel mechanisms for interrupting the privacy paradox.

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Impact of flow on mobile shopping intention

Cited by 142 publications

References 54 publications

Exploring Smartphone Users’ Social Information Behavior

Exploring Smartphone Users’ Social Information Behavior

Factors Affecting Reuse Intention on Mobile Shopping Application

Privacy concerns when using augmented reality face filters? Explaining why and when use avoidance occurs

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