The Relationship among Product Risk, Perceived Satisfaction and Purchase Intentions for Online Shopping

Trần, Văn Đạt

doi:10.13106/jafeb.2020.vol7.no6.221

Cited by 59 publications

(56 citation statements)

References 70 publications

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“…In recent years, there has been a steady increase in the number of online shoppers and online sales [27]. This was accelerated by the spread of COVID-19, which has pushed people to purchase more from online shops [5,6]. Online shopping has advantages over traditional shopping options because it is available anywhere and at any time [28]; it saves time [29]; it offers a wide range of products [30]; and it makes cost saving possible [31].…”

Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

“…Due to the government's social distancing regulations, which have resulted in changes in consumer behavior, there are limitations on movement and activities. Based on these regulations, many activities such as selling or purchasing products have moved to online platforms, and many customers use these platforms to meet their daily needs [5,6]. Online shopping is a rapidly evolving industry, as Internet technologies and applications provide customers with more accessible, convenient, and cost-effective ways to find a wider range of products than traditional shopping [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Factors That Drive Actual Purchasing of Groceries through E-Commerce Platforms during COVID-19 in Indonesia

Warganegara

Hendijani

2022

Sustainability

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(1) Background: This is one of the few studies to look into online grocery shopping behavior in Indonesia, as an emerging sector of the economy. The technology acceptance model is extended in this study to include price, health risk, and a reference group to better understand the factors and the extent to which they influence online grocery shopping. (2) Methods: In order to achieve the goal of the research and test the research model, a literature-based questionnaire was developed and distributed to 300 respondents in Jakarta via online platforms. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used in this study. (3) Results: We discovered that ease of use, usefulness, attitude, and reference group had a statistically significant relationship with intention and actual use of online platforms to purchase groceries in Indonesia. However, neither health risk nor price were found to be significantly correlated with respondents’ purchasing intent. (4) Conclusions: Several practical and theoretical implications for decision makers designing marketing strategies are discussed based on the findings.

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Section: Technology Acceptance Model (Tam)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Factors That Drive Actual Purchasing of Groceries through E-Commerce Platforms during COVID-19 in Indonesia

Warganegara

Hendijani

2022

Sustainability

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“…The invariant features are divided into local features and global features. The global features of an image are mainly three types of image color, texture, and shape, and the local features of an image use a part of the image area to extract features [17].…”

Section: Multifeature Image Feature Extraction Technique Formentioning

confidence: 99%

Multifeatured Image Retrieval Techniques Based on Partial Differential Equations for Online Shopping

2021

Advances in Mathematical Physics

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In today’s rapid development of network and multimedia technology, the booming of electronic commerce, users in the network shopping species of images and other multimedia information showing geometric growth, in the face of this situation, how to find the images they need in the vast amount of online shopping images has become an urgent problem to solve. This paper is based on the partial differential equation to do the following research: Based on the partial differential equation is a kind of equation that simulates the human visual perception system to analyze images; based on the summary of the advantages and disadvantages of multifeature image retrieval technology, we propose a multifeature image retrieval technology method based on the partial differential equation to alleviate the indexing imbalance caused by the mismatch of multifeature image retrieval technology distribution. To improve the search speed of the data-dependent locally sensitive hashing algorithm, we propose a query pruning algorithm compatible with the proposed partial differential equation-based multifeature image retrieval technology method, which greatly improves the retrieval speed while ensuring the retrieval accuracy; to implement the data-dependent partial differential equation algorithm, we need to distribute the data set among different operation nodes, and to better achieve better parallelization of operations, we need to measure the similarity between categories, and we achieve the problem of distributing data among various categories in each operation node by introducing a clustering method with constraints. The purpose of this article for image recognition is for better shopping platforms for merchants. This algorithm has trained multiple samples and has data support. The experimental results show that our proposed data set allocation method shows significant advantages over the data set allocation method that does not consider category correlation. However, the image features used in image retrieval systems are often hundreds or even thousands of dimensions, and these features are not only high in dimensionality but also huge in number, which makes image retrieval systems encounter an inevitable problem—“dimensionality disaster.” To overcome this problem, scholars have proposed a series of approximate nearest neighbor methods, but multifeature image retrieval techniques based on partial differential equations are more widely used in people’s daily life.

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“…Due to the significant impact of satisfaction on many businesses, previous investigations conducted by Tran (2020) in the online shopping service industry and by Jin et al (2016) in the restaurant industry have suggested minimizing perceived risk for customers. High perceived risk can cause a high threat to customers and lower customer's confidence and joy in using the service.…”

Section: Introductionmentioning

confidence: 99%

Evolution of customer satisfaction in the e-banking service industry

Kim

Jindabot

2022

Innovative Marketing

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Since several commercial activities such as banking, shopping, transfers, and payments had been conducted online, many banks in Cambodia provided e-banking services to their customers to support these activities. Meanwhile, if the banks could provide such e-banking services to satisfy their customers’ needs, they could maintain their customers and profits. Thus, finding the main factors influencing customer satisfaction in the e-banking service industry is significant. Therefore, the objective of this paper is to investigate how customer satisfaction develops through examining the impacts of perceived risk (financial risk and performance risk) and perceived value on customer satisfaction in the e-banking. This study applied convenience sampling to get data from the respondents at convenient locations (near banks, markets, supermarkets, universities, and workplaces). 700 respondents who were currently using mobile banking or internet banking services at either commercial or retail banks in Cambodia were invited to fill in the questionnaires. In addition, the results of this study were generated through structural equation model (SEM) analysis based on 546 valid responses. The results revealed that perceived value was mainly influenced by performance risk, whereas financial risk did not significantly affect perceived value. Finally, perceived value and performance risk significantly influenced customer satisfaction, except financial risk. In addition, despite both perceived value and performance risk significantly influencing customer satisfaction, promoting customer satisfaction through increasing perceived value was far more effective than minimizing performance risk.

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The Relationship among Product Risk, Perceived Satisfaction and Purchase Intentions for Online Shopping

Cited by 59 publications

References 70 publications

Factors That Drive Actual Purchasing of Groceries through E-Commerce Platforms during COVID-19 in Indonesia

Factors That Drive Actual Purchasing of Groceries through E-Commerce Platforms during COVID-19 in Indonesia

Multifeatured Image Retrieval Techniques Based on Partial Differential Equations for Online Shopping

Evolution of customer satisfaction in the e-banking service industry

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