Online Shopping Platform Research Articles

Analysis the Influential Factors of Consumers' Purchase Intention in Online Shopping

The rapid development of Internet technology has affected the choices of shopping for a large number of people, the audience of online shopping is becoming more and more extensive, and the online shopping markets are growing rapidly. The online market that already has a considerable volume and the numbers are keep growing, the need to understand the factors influencing consumers' intention to buy and to explore the relationship between purchase behavior intention and purchase behavior is becoming more important and urgent. In this study, the research selected Taobao, the largest online shopping platform in China, as the target, and this study adopted Theory of Planned Behavior (TPB) as a theoretical model, examined the influence factors like attitude, subjective norm and perceived behavioral control of using Taobao on consumers' purchase intention, and the relationship between purchase intention and purchasing behavior. Then the study analyzed the data of two linear regressions after using SPSS. The data used to analyze the purchase intention of consumers, and the correlation between behavioral intention and behavior is calculated. This study helped to explore the impact of consumers in a new popular shopping way. And on this basis, how to capture consumers' buying psychology and promote them to make the purchase when they shop online.

Empirical Analysis on the Preference of Negros Oriental State University Students to Online Shopping

Online shopping has grown exponentially over the years together with the internet age. The COVID-19 pandemic further boosted this trend with its convenience attribute. It is projected that online shopping will continue to propel in the years to come. Thus, it is empirical to study the factors affecting the online purchase behavior of consumers. This study looks at the demographics, online shopping experience, and online shopping preference of Bachelor of Science in Business Administration students of Negros Oriental State University. A total of 319 valid responses were gathered and analyzed through descriptive approach There were more female respondents than male, mostly aged 20-23 years old. Almost all (93%) experienced online shopping, where clothes, accessories, footwears, beauty products, and electronic devices are the top products being purchased. 96% of the respondents also used cash-on-delivery as a method of payment. It was found that the perceived ease of use of the online shopping platform primarily drives online shopping among the respondents, followed by convenience, time saved, and security. Majority of the respondents prefer online shopping. Those who do not cited product quality risks and product delay as the reasons.

Retrospective content analysis of consumer product reviews related to chronic pain.

Chronic pain (CP) lasts for more than 3 months, causing prolonged physical and mental burdens to patients. According to the US Centers for Disease Control and Prevention, CP contributes to more than 500 billion US dollars yearly in direct medical cost plus the associated productivity loss. CP is complex in etiology and can occur anywhere in the body, making it difficult to treat and manage. There is a pressing need for research to better summarize the common health issues faced by consumers living with CP and their experience in accessing over-the-counter analgesics or therapeutic devices. Modern online shopping platforms offer a broad array of opportunities for the secondary use of consumer-generated data in CP research. In this study, we performed an exploratory data mining study that analyzed CP-related Amazon product reviews. Our descriptive analyses characterized the review language, the reviewed products, the representative topics, and the network of comorbidities mentioned in the reviews. The results indicated that most of the reviews were concise yet rich in terms of representing the various health issues faced by people with CP. Despite the noise in the online reviews, we see potential in leveraging the data to capture certain consumer-reported outcomes or to identify shortcomings of the available products.

Product Pricing and Design Strategy in Platform-Based Collaborative Innovation With Cognitive Bias

ABSTRACT Collaborative innovation, in which multiple companies try to incorporate content generated by consumers into new product development, is becoming increasingly popular. The fact that overconfidence usually increases with more data means that companies integrating large amounts of consumer-generated content in collaborative innovation have a strong tendency to be overconfident. We study the effects associated with overconfidence in collaborative innovation, where overconfidence is defined as a decision maker’s cognitive bias that leads to an overestimation of the precision of an uncertain event. In our collaborative innovation model, an online shopping platform collects and assimilates content (such as online reviews) generated by consumers to generate a product design and then sells that design to the manufacturer, after which the manufacturer produces a corresponding new product and sets a retail price. In this article, we mainly focus on how overconfidence impacts the product design strategy, pricing strategies, and decision makers’ equilibrium profit levels. We demonstrate that overconfidence can be a positive force for collaborative innovation and even lead to a win-win-win situation for the platform, manufacturer, and consumer. We show that overconfidence can make the platform change its product design strategy from aesthetic-oriented in the unbiased scenario to functionality-oriented in the biased scenario. Furthermore, we show that each of the two product design strategies has its own scope of application; neither is universally dominant.

Hybrid-based Recommender System for Online Shopping: A Review

In the era of the digital revolution, online shopping has developed into a remarkably simple and economical option for consumers to make purchases securely and conveniently from their homes. In order for the online merchant to optimize their profit, the online shopping platform must always display a list of potential products that customers may purchase. The recommender system kicks in at this point to assist in finding products that customers would like and recommend a list of product recommendations that match the customer's preferences. This paper reviews the recommender system technology in detail by reviewing the classification technique. Other than that, the related works will be reviewed to understand how each technique works, the strengths and limitations, the datasets and evaluation metrics employed.

Usability Testing on ITTS MART Prototype

I nformation technology is currently growing very rapidly so that it can provide convenience to its users, one of which is the ease of accessing the internet, such as through cell phones. The rapid increase in internet users, especially through mobile phones, is caused by the hectic number of social media applications as virtual friendship applications. Apart from being a virtual friendship application, another benefit of social media is as a promotional media, one of which is the promotion of online shopping applications, so that the number of online shopping transactions in Indonesia also increases. Hydroponic and aquaponic activities at the Telkom Institute of Technology Surabaya are also developing and starting to enter the product harvest stage, so a platform is needed to sell these products. An online shopping platform was chosen, especially a mobile application, to sell ITTelkom Surabaya products so that consumers can shop anytime and anywhere. The online shopping application developed by ITtelkom Surabaya is called ITTS MART. Currently, ITTS MART is still in the prototype development stage and there is a need for usability testing using the WebQual Concept on the ITTS MART application. From the results of the study, it can be concluded that the six research variables, namely Trust, Informational Fit-To-Task, Web Appearance, Entertainment, Government Policy and Transaction Capability, show a significant difference between expectations and real experience or dissatisfaction when using the ITTS MART application. Only one variable that shows the value of the difference is not significant, namely Response Time, so it can be concluded that respondents are satisfied with the time to access the page on the ITTS MART application. Keywords: Usability, WebQual, Online Shopping, Application, Food Product .

A Linguistic Analysis of Authorship Attribution in E-Commerce Scams’ Promotional Contents and Narratives

The emergence of e-commerce or online shopping platform has opened-up multiple opportunities for business owners to multiply their earnings. At the same time, this enables consumers to shop conveniently compared to the traditional shopping method, especially during the Covid19 pandemic. In Malaysia, the development opens consumers to the novel threat of fraud and scams, especially on social media and other online shopping platforms such as Shopee, Lazada and Facebook Marketplace. Due to the alarming rise in scams worldwide and the elusive methods offenders use, law enforcement agencies have turned to public education and awareness programs to reduce the number of scam victims. Thus, this study aims to identify authors’ attributes in e-commerce scams’ promotional contents and narratives to examine the scammers’ persuasive strategies to deceive their victims. Specifically, the study intends to look at the linguistic features in authorship attribution, including lexical, syntactic, semantic, structural, and content-specific features of the corpus. Although linguistic analysis has never been used in cybersecurity, learning the language used by scammers could help researchers collect more comprehensive empirical data and educate the public about this common phenomenon.

Protective consumption behavior under smog: using a data-driven dynamic Bayesian network.

In the midst of the deteriorating air pollution and collective stress, people pay close attention to risk mitigation measures such as keeping indoor and purchasing anti-smog products. Through impact evaluations, factors regarding health protective behavior can be identified. However, limited research is available regarding probabilistic interdependencies between the factors and protective behavior and largely relies on subjective diagnosis. These concerns have led us to adopt a data-driven static Bayesian network (BN) and Dynamic BN model to help explore multidimensional factors that may influence the public's health protective behavior of buying anti-smog air purifiers and examine the dependencies among network nodes. Using the city-level aggregate data from an online shopping platform, the results shed new light on relationships existing among 11 factors and protective behavior of buying air purifiers. Furthermore, taking into account the dynamic nature of protective behavior, we add time-related factors on the basis of static BN to construct the dynamic BN model. Results indicate that PM2.5 concentration and product price are the two leading factors affecting the consumption behavior for air purifiers. Additionally, media-related factors play an important role in the consumption behavior. This study contributes to the fields of impact evaluation of protective consumption behavior analysis and links environment risk with public consumption by identifying key factors.

The Role of Sharia Compliance in Online Shop Applications in Improving Consumers’ Trust

<p>Muslim business transactions are governed by the principles of Islamic values, specifically Sharia compliance. However, accommodating these values poses a challenge for modern transaction system providers. This is because online shop providers have not been considering Sharia compliance as a crucial aspect to enhance consumer confidence, especially among Muslim consumers. Therefore, this research aims to determine the extent to which sharia conformity of web features and online shop applications influences consumers’ trust in the online shopping platform. It is a quantitative analysis that uses primary data from respondents representing the population. The research population comprises users of online shop applications that apply sharia compliance principles in their web design with sample data of 430 respondents. Furthermore, the data analysis uses linear and multiple regression methods aided by SPSS data analysis tools. The results show a positive and significant influence between sharia compliance, specifically avoiding prohibitions, object & price, buyer & seller, as well as offering & acceptance in websites design or online shop applications on consumers’ trust both partially and simultaneously. The partial influence of each sharia compliance variable is avoidance of main prohibitions, object & price, buyer & seller, as well as offer & acceptance by 60.6%, 62.6%, 69.3%, and 57.2%, respectively. Meanwhile, the simultaneous influence of sharia compliance variables on consumers’ trust is 79.4%, and other variables influence the remaining 20.6%. These results suggest that online shop consumers, specifically Muslims, make sharia values an essential criterion for selecting and using online shops. The theoretical contribution is to build and strengthen the concept and theory of sharia compliance to construct consumer trust. Concerning the practical contribution, the results could be the basis of consideration for online shop service providers to increase consumers’ trust by providing services in line with sharia compliance principles. Further research could explore additional variables that affect consumers’ confidence in using online shop platforms.</p>

Strategies to Improve Customer Experience: A Case of an Online Shopping Platform in Indonesia

Background: As the e-commerce industry has been growing recently, it is crucial to examine the factors of customer experience towards online shopping platforms. In this study, researchers aim to examine the influence of website design, website security, and customer service towards customer experience that has led to the preference of online shopping platform in Malaysia. Purpose: The first objective of this study is to analyze the current situation of customer experience with the preferred online shopping platform among university students. Secondly, this study aims to examine the influence of website design, website security, and customer service towards customer experience. As for the third objective, this study aims to recommend strategies to improve customer experience with the online shopping platform among university students. Design/Methodology/Approach: A total of 266 respondents have participated in this study. However, 83 respondents have no experience in using the online shopping platform (OSP), hence they did not fulfill the requirement. Therefore, only 183 sets of questionnaires were analyzed for the study. Finding: The result shows that there are three factors: website design, website security and customer service identified to significantly influence customer experience. Research Limitation: To understand customer online shopping experience, this study focuses at three factors: the website design, website security and customer service. Whilst the unit of analysis is only limited to university students as the respondents. Originality/Value: The value of this study is researchers have examined the factors that influenced customer online experience and provide recommendations with nine strategies for online shopping platform to improve their customers’ online experience. The strategies are known as best-cost strategies, innovation strategies (live-streaming), improve website design features, improve website security, improve customer service KPIs, vertical integration strategies, non-equity strategic alliance, offensive strategies, and outsourcing strategies. Keywords: customer online experience, website design, website security, customer service, Malaysia.

SISTEM PERIJINAN PERDAGANGAN MAKANAN RINGAN TANPA LABEL MELALUI PLATFORM BELANJA ONLINE

This study aims to seek and find legal certainty regarding the flow of the labelless snack trade licensing system through an online shopping platform in the city of Surabaya. This research uses normative research methods, namely research that examines the study of documents and archives, using secondary data such as legal theory, statutory provisions, and opinions from undergraduate graduates. This research was conducted by analyzing the principles, theories and legal concepts as well as statutory provisions related to the online licensing system in terms of trading of unlabeled snacks through online shopping platforms. The problem in this research is that there are still many unlabeled snacks that have the potential to harm consumers. The researcher uses a concept that has been designed in such a way as to find legal certainty regarding the management of a labelless snack trade licensing system, in which in this case the rights of consumers are not fulfilled and the obligations of business actors are not carried out properly and correctly

Research on the influence of consumer experience value on flow experience

With the rapid improvement of people's living standards in recent years and the gradual change of consumption habits, the era of focusing on the experience economy has also followed. Mathwick, Malhotra & Rigdon (2001) put forward the concept of "experience value". He & Zhou (2013) pointed out that whether it is a traditional offline store or an online shopping platform, providing consumers with a good shopping experience and excellent value is not only closely linked to the company's marketing strategies such as market segmentation, product differentiation and positioning, but also is the key to a company's competitive advantage. Although some scholars have discussed the relationship between experiential value and flow experience, they have not yet conducted in-depth research on flow experience with online shopping as the study subject. Therefore, this study uses shopping sites to investigate the relationship between experiential value and flow experience.This study uses online shopping platforms as the target industry and Taobao as the specific research scope and uses multiple online channels to issue questionnaires. In the end, a total of 433 questionnaires are returned, in which 45 invalid questionnaires are deducted and 388 valid questionnaires are accepted.After analysis using statistical tools such as SPSSAU and IBM SPSS Amos, the results show:The aesthetics of experiential value has a significant positive correlation with the intrinsic interest of flow experience.The playfulness of experiential value has a significant positive correlation with the sense of control, attention focus, curiosity, and intrinsic control of flow experience.The service excellence of experiential value has a significant positive correlation with the sense of control of flow experience.

Recommendation System Using Matrix Factorization

Abstract: In today’s world, people are flooded with a lot of information, and no. of choices are overwhelming. For example, in any online shopping platform such as Amazon, if we search for a particular product, thousands of results appear and it becomes very difficult to select an item from vast pool of options. The growth of digital information and the number of users over the Internet has created a potential problem of information overload. The recommendation system solves this problem by searching through a large volume of data and providing personalized content to the user. This paper describes the introduction to the recommendation system, its three main types – content-based filtering, collaborative filtering, and hybrid filtering, and addresses the data sparsity problem. This paper proposed a collaborative filtering approach using matrix factorization to mitigate the sparsity problem and improve the quality of the recommendation.

Analisis Faktor Yang Mempengaruhi Penerimaan Teknologi Pada Pengguna Aplikasi Shopee Menggunakan Technology Acceptance Model (TAM)

E-commerce is an online shopping platform that is getting public attention because it can be an alternative for convenience in meeting the consumptive needs of the community. One of them is Shopee, which is the most superior in Indonesia, being the most remembered and most widely used e-commerce brand by most people, it was recorded that Shopee visitors in 2021 were 33.27 million visitors. To find out what factors affect the acceptance of shopee application users using the Technology Acceptance Model (TAM) method with 4 (four) variables, namely Perceived usefulness, Perceived ease of use, Attitude toward using, Behavioral intention to use and 1 (One) Perceived variable. enjoyment as an external factor. While testing the hypothesis using Structural Equation Modeling (SEM). From the results of this study, there is a positive and significant influence between Perceived ease of use, Perceived enjoyment and Attitude toward using on behavioral intention to use. Meanwhile, for the perceived usefulness variable, perceived enjoyment of attitude toward using and behavioral intention to use, there is no positive and significant effect.

Online Platform Customer Shopping Repurchase Behavior Analysis

With the rapid development of the world economy and the progress of modern science and technology, e-commerce has gradually spread to the public. For the online shopping platform, the number of online stores has increased rapidly, especially so in recent years. Mastering the rules of customers’ shopping behavior will help the stores to stand out amidst such a fiercely competitive environment. Taking the cosmetics industry in online shopping as an example, this paper studies the purchase behavior of online platform customers. Through the analysis of order data, it is found that the number of customers’ repurchase times and the corresponding number of people conform to the law of power-law distribution. On this basis, the customer attributes of repurchase behavior are analyzed and demonstrated, and the influences of different factors, such as region, postage, and usage of clients, on the customer repurchase rate and the relationship between the number of orders and the number of days between repurchase are revealed. The analysis results can provide better sustainable operation decision support for online platform operators and improve the overall repurchase rate and benefits of stores.

The Influence of Social Media Instagram Toward Purchase Decision Making Process in Organicsupplyco

This research was motivated by the increasing of internet and digital era in communication, especially in online shopping. Changes in the way of communicating are through social media. Not only used as virtual relationship communication, social media is also used as an online shopping platform, especially Instagram social media. The shift of communication through social media led to a shift in the way consumers shop, by utilizing features and content that is on Instagram social media. The shift in shopping is influenced by consumer’s purchase decision making processes, both internally and externally. The purpose of this research is to show that internal and external factors cannot be separated from purchasing decision making process because it is integral so that it is reflective of OrganicsSupplyCo, sellers can understand what internal and external factors that have a big influence for consumers in online shopping through Instagram. By mirroring OrganicSupplyCo, an online shop can create online campaigns and activities that are in accordance with the needs and desires of consumers. The research was conducted in May to August 2018. This research using quantitative in questionnaire. The result of this research showed that Instagram internal and external factors influence OrganicSupplyCo’s consumer in purchasing decision making process. The internal factor are content quantity and content quality. The external factors are instastories and photoshare.

Information Quality, Service System Quality on repurchase intention with Shopee application user satisfaction

In the current era of globalization, business competition is growing rapidly. Over time, business development plays a very important role in aspects of human life activities. Currently in Indonesia, there is a fast growing business, namely businesse-commerce. E-commerce is a commercial transaction using Internet media and devices that are integrated with the Internet between organizations and individuals. The continued growth of e-commerce in Indonesia has enabled buyers to enliven the industry. Shopee is a market-based mobile application and is said to be the first mobile market application available to consumers. Shopee is an online shopping platform application that focuses more on mobile platforms, so that people can more easily find, shop and sell products directly on their cellphones. This study aims to determine and analyze "The Effect of Information Quality, System Quality and Service Quality on Shopee Application User Satisfaction". This study uses a descriptive qualitative research method. Sampling was carried out by using a non-probability sampling method, purporsive sampling, with a total sample size of 100 people. The data analysis technique used is descriptive analysis and multiple linear regression analysis. Based on the results of descriptive analysis, it shows that the variables of information quality (X1), system quality (X2), service quality (X3) and user satisfaction (Y) are in the good category. The results of multiple linear regression analysis can be concluded that information quality (X1), system quality (X2) and service quality (X3) have a positive and significant effect on user satisfaction (Y) both partially and simultaneously.Keywords: E-commerce, Information Quality, System Quality, Service Quality, User Satisfaction

THE EFFECTIVENESS OF SPAYLATER USAGE IN SHOPPING ACTIVITIES DURING COVID-19 PANDEMIC

This study aims to determine the level of satisfaction with the use of e-wallet (Shopee Pay) as a non-cash payment instrument. The research method used is descriptive qualitative research. The technique of collecting data is by means of a survey in the form of a questionnaire instrument which is then distributed via google form. Simple random sample was used as a sampling technique of 80 respondents. SPayLater is an online shopping platform that aims to facilitate the online shopping process for Shopee users. SPayLater is a payment method that uses bailout funds from the application company in question. SPayLater offers loan products with a 0% initial loan without a minimum transaction. However, we are encouraged to realize the risks that may occur behind this convenience, and this feature might be described as a teaser in the millennial period.

Factors Influencing Online Shopping Behavior Focusing on LAZADA, SHOPPEE and JD

This study examines the factors influencing online shopping behavior focusing on LAZADA, SHOPPEE and JD. For this purpose, the analysis is conducted with 400 people who prefer different types of online shopping platform by utilizing structural equation modeling (SEM). Six potential influencing factors on consumer online platform choice are brand effect, product offering, platform feature, special offer and shopping safety. The result shows that the model’s chi-square value of 285.739 with 263 degrees of freedom is non-significant at the .05 level which suggests that model fits the data acceptably in the population from which we drew our sample. Corroborating evidence is provided by the RMSEA fit statistic – the obtained value of .014 is well below the desired .06 cutoff. Similarly, the Tucker-Lewis Index (TLI) result of .998 as well as GFI (.952) and CFI (.998) are considerably above the .95 threshold denoting satisfactory model fit. Therefore, our proposed SEM model seems to fit well according to the descriptive measures of fit. More importantly, Platform (PF) and Brand (BE) seem to have significant effects on online-shopping behavior due to their p-values are both less than .05. This research is significant because it makes it possible for operators to understand how to influence user’s online shopping platform choice decision, which is important for establishing relevant strategies.

Behavioral Analysis of Shopee Application Users at Stmik Borneo International using the Technology Acceptance Model (TAM) Method

The development of information technology today has a very rapid growth. Businesses began to enter the virtual world market called e-commerce. Shopee is one of the developing e-commerce. Therefore, it is necessary to know how the acceptance of an application technology by the public is used. In this research, the Shopee application is used, which is an online shopping platform that focuses on mobile, making it easier for users to shop and sell using gadgets. The method in this study uses the Technology Acceptance Model (TAM) research method. The results of this study note that Perceived Ease of Use does not have a significant positive effect on Attitude Toward Using Perceived Usefulness has a significant positive effect on Attitude Toward Using with the level of relationship. It can be concluded that the Perceived Usefulness, Attitude Toward Using, and Intention to use factors have a significant effect on the use of the Shopee application. Meanwhile, the perceived ease of use has no effect on the Shopee application, so it is recommended to improve the quality of the ease of use of the Shopee application.