The Moderating Effects of Perceived Use and Perceived Risk in Online Shopping

GOZUKARA, Ebru; OZYER, Yagmur; KOCOGLU, Ipek

doi:10.20460/jgsm.2014815643

Cited by 12 publications

(7 citation statements)

References 34 publications

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“…Hypothesis 6a and 6b are rejected through the result of the study, which is aligned with the result from one of the variables in (Gozukara, 2014). This phenomenon happens due to the difficulty of risk assessment in both product description and product photo, making the moderation of perceived risk not significantly affect the relationship on purchase intention.…”

Section: Results and Analysismentioning

confidence: 51%

“…This phenomenon happens due to the difficulty of risk assessment in both product description and product photo, making the moderation of perceived risk not significantly affect the relationship on purchase intention. Meanwhile, hypothesis 6c is accepted, aligning with the result (Qalati et al, 2020;Gozukara, 2014). In order to determine the extent of an exogenous construct's influence on an endogenous construct, the f-square effect size (F^2) is used.…”

Section: Results and Analysismentioning

confidence: 65%

“…However, for this study, the variable of perceived ease of use is not used due to the straightforward usage of the product description, product photo, and rating & review in E-commerce platforms, which makes adding this variable irrelevant. Previous research has also demonstrated the moderating effect on purchase intention of perceived usefulness (Halima et al, 2021), perceived trust (Li et al, 2021;Chang et al, 2019), and perceived risk (Qalati et al, 2020;Gozukara, Ozyer & Kocoglu, 2014), so the implementation of it in this study is justified.…”

Section: A Introductionmentioning

confidence: 77%

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Impact of Product Description, Product Photo, Rating, and Review on Purchase Intention in E-commerce

Mokobombang,

Kusumawati

2023

JCSAM

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The Covid-19 pandemic in the last 3 years has strengthened E-commerce growth, making online shopping the new norm due to restricted offline activities. To aid buyers and sellers in conducting transactions in E-commerce, E-commerce platforms have introduced features like product descriptions, product photos, ratings, and reviews. These features have created a competitive landscape, benefiting sellers who can use them effectively. Nevertheless, many sellers still struggle to optimize these features and market their products effectively to buyers. Failure to optimize these features correctly restricts the marketing strategy's effectiveness and puts sellers at risk for unanticipated difficulties that may be prevented by determining the various effects of these features on customers’ purchase intentions. Therefore, this research aims to analyze the impact of product descriptions, product photos, and ratings & reviews on customers' purchase intention in E-commerce. A quantitative approach is used in this study, where the data is analyzed through descriptive statistics and PLS-SEM. The result of this study suggested that all three features of product description, product photo, and rating & review significantly and positively influence purchase intention in E-commerce. In addition, the author also found that moderation of perceived trust significantly affects product description and rating & review on purchase intention, while the moderation of perceived risk only significantly affects rating & review on purchase intention. The finding of this research is expected to give insights to E-commerce sellers on optimizing the features in E-commerce to increase the customers’ purchase intention.

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Section: Results and Analysismentioning

confidence: 51%

Section: Results and Analysismentioning

confidence: 65%

Section: A Introductionmentioning

confidence: 77%

See 1 more Smart Citation

Impact of Product Description, Product Photo, Rating, and Review on Purchase Intention in E-commerce

Mokobombang,

Kusumawati

2023

JCSAM

View full text Add to dashboard Cite

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“…Perceived risk is the perception of shoppers having unpleasant results for buying any product or service (Gozukara et al, 2014). Consumers who buy a specific product or service strongly impact their degree of risk perception toward buying (Jain, 2021).…”

Section: Perceived Risk and Consumer Satisfactionmentioning

confidence: 99%

Online Consumer Satisfaction During COVID-19: Perspective of a Developing Country

et al. 2021

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A conceptual model based on the antecedents and consequences of online consumer satisfaction has been proposed and empirically proved in this study. Data were collected during Smart Lockdown of COVID-19 from 800 respondents to observe the difference between perceived and actual, and direct and indirect e-stores. Confirmatory factor analysis was used to observe the validity of the data set. The structural equation modeling technique was used to test the hypotheses. The findings indicated that consumers feel more satisfied when they shop through direct e-store than indirect e-store, whereas their perception and actual experience are different. Implications have also been added to the study.

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“…There is a significant positive correlation between consumer perceived values and purchase intentions in online shopping. Taking clothing brands as the research object, traveler perceived value, network interaction and brand relationship have significant positive effects on consumer behavioral intention [ 64 ]. Therefore, the following hypothesis is proposed:…”

Section: Hypothesis Development and Conceptual Modelmentioning

confidence: 99%

Understanding the intention to use bike-sharing system: A case study in Xi’an, China

et al. 2021

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Bike-sharing is widely recognized as an eco-friendly mode of transportation and seen as one of the solutions to the problem of air pollution and congestion. With the emphasis on sustainability in transportation, bike-sharing systems is an emerging topic of urban transport and sustainable mobility related research. Existing studies mainly explored the factors affecting individuals’ initial intentions to start using a shared bicycle, but few looked at the likelihood that a user would continue using one This study proposed a structural equation model with bike-sharing purchase decision involvement as independent variable, bike-sharing willingness to use as dependent variable, traveler participation and traveler perceived value as intermediary variables by introducing the concepts of purchase decision involvement, customer participation and perceived value in consumer psychology and behavior. A survey on bike-sharing users in Xi’an was conducted online and offline, and 622 effective responses were collected. The research model was tested by Amos 24.0 and the empirical results showed that All influencing factors including bike-sharing’s purchase decision-making involvement, traveler participation and traveler’s perceived value are found to be significantly and positively associated with usage intention; traveler perceived value play a chain-mediating role between bike-sharing purchase decision involvement and usage intention; bike-sharing purchase decision involvement have indirect effects on traveler perceived value through traveler participation. The results of this study enrich the current research’s in the field of sharing economy, and it is certain guiding significant for how to obtain and maintain stable customers in bicycle-sharing industry.

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The Moderating Effects of Perceived Use and Perceived Risk in Online Shopping

Cited by 12 publications

References 34 publications

Impact of Product Description, Product Photo, Rating, and Review on Purchase Intention in E-commerce

Impact of Product Description, Product Photo, Rating, and Review on Purchase Intention in E-commerce

Online Consumer Satisfaction During COVID-19: Perspective of a Developing Country

Understanding the intention to use bike-sharing system: A case study in Xi’an, China

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