Consumer E-commerce Research Articles

The Impact of Affiliate Marketing and Service Features on E-Commerce Consumers Buying Interest

The development of information technology in the 4.0 era has made business people make many changes in their business strategy, affiliate marketing is one of the marketing strategies that is being widely used today, apart from that, service features in the digital world are elements that need attention in influencing consumer buying interest. The purpose of this study is to find out how affiliate marketing, service features, and buying interest consumers of TikTok Shop e-commerce. And to find out how much impact affiliate marketing has on buying interest, the impact of service features on buying interest, as well as the influence of affiliate marketing and service features on buying interest. In this study, the independent variable (X) is affiliate marketing and service features, and then the dependent variable (Y) is buying interest consumers. This research is a sample study where consumers are respondents to this study, for data collection using a questionnaire with a total of 100 respondents. The analytical method used is a quantitative method with descriptive analysis. To process the data, the author used Microsoft Excel 2019 and SPSS 26 For Windows. The result of this study is either partially or simultaneously affiliate marketing and service features have a positive effect on e-commerce consumers buying interest.

E-Commerce Consumer Protection in the Digital Economy Era

E-commerce is widely known by the public, including in the Tulungagung district. The convenience offered by the trading model through internet media makes all potential buyers more interested in making buying and selling transactions through this online medium. However, the need for consumer awareness and knowledge of their rights makes consumers often disadvantaged. For this reason, local governments are expected to have efforts to protect e- commerce consumers. To find out about the protection efforts carried out by the Tulungagung district government for e- commerce consumers, a qualitative research approach was carried out by collecting data through observation and in- depth interviews with informants.

E-commerce consumer behavior analysis based on big data

In the background of the widespread development of big data technology, the actual behavior of e-commerce consumers is affected by different consumer environment and consumer demand. This article conducts in-depth inquiry and analysis of the behavior of different e-commerce users, and more accurately conducts a comprehensive analysis and effective assessment of various factors that affect consumer behavior. The factors and measures of consumer behavior are comprehensively judged to get the evaluation model closer to consumer behavior. By conducting a comprehensive full-process research on different e-commerce platforms, consumer behavior, consumption habits, and consumption processes, a comprehensive full-process research, more effective channel methods and dependence on consumers’ purchase of goods, conduct a comprehensive research other factors of behavior, such as transportation logistics, environmental conditions, advertising, and other factors, conduct comprehensive judgment and analysis, and provide important theoretical basis and certain research in order to promote and improve the orderly development of consumer behavior and e-commerce environment. The research adopts modeling and analysis methods, through the evaluation of the research model, it can be seen that under the background of big data, e-commerce consumer behavior presents the trend of data, diversification and complexity. Factors affecting consumer behavior are more diverse and complex. It effectively expands the research field of e-commerce consumer behavior analysis, and provides scientific reference for the development of e-commerce.

Blockchain and mobile client privacy protection in e-commerce consumer shopping tendency identification application

Blockchain and mobile client privacy protection in e-commerce consumer shopping tendency identification application

Why do people shop? Understanding consumer e-commerce shopping intention in Indonesia: Mediating effect of shopping orientation

Purpose: The COVID-19 pandemic has led to an increase in the use of e-commerce as a shopping platform in Indonesia. This study aims to identify the factors that influences consumers’ intention to shop through e-commerce platforms.
 Design/Methodology/Approach: The study uses a survey method to collect data from online shoppers in the 11-24 age range. The research model includes shopping orientation as a mediating variable. The data analysis reveals that perceived enjoyment, social norms, social presence, and perceiver utility positively and significantly affect e-commerce shopping intention. The study also identifies the mediating role of shopping orientation.
 Finding: The results shows that shopping orientation fully mediates the relationship between perceived utility and e-commerce shopping intention.
 Conclusion: The study highlights the importance of perceived enjoyment, social norms, social presence, perceived utility, and shopping orientation in driving e-commerce shopping intention. To increase perceived utility, e-commerce managers should provide information that emphasizes the convenience of shopping through their platforms. Finally, what can be implied from this study's results is how managers can increase the shopping orientation of potential consumers.
 Research Limitation: The study’s sample is limited to consumers aged 11 to 24 years, where at that age, many people in Indonesia do not have good purchasing power. Future research should consider a more diverse sample. Additionally, the study only examines the full mediation of shopping orientation on the relationship between perceived utility and e-commerce shopping intention. Therefore, further research is recommended to examine whether shopping orientation is fully mediated in the relationship between perceived utility and e-commerce shopping intention.

Shopping for fresh food online during Covid-19 in Shanghai

Aim: The main goal is to examine the role of perceived risk in determining customers’ willingness to purchase fresh food online. Research methods: Data were collected through an online survey. Respondents were recruited via a call on online platforms. A total of 287 fresh food e-commerce consumers participated. Conclusions: The results showed that perceived risk of COVID-19 infection had a positive effect on purchase intention, perceived risk of purchase behavior had a negative impact on purchase intention, and attitude was a mediating variable between perceived risk and purchase intention. Past experience moderated the relationship between perceived risk of purchase behavior and attitude. Actual consumer behavior was explained directly by purchase intention Originality: Next to attitude, subjective norms, and perceived behavioral control, the effects of perceived risk of COVID-19 infection, perceived risk of purchase behavior, and past experience on purchase intention and actual behavior to purchase fresh food online were examined in an extended Theory of Planned Behavior model. Previous studies measured overall risk perception as risk perception associated with purchase behavior and risk perception related to Covid-19 infection. The influence of both types has rarely been examined distinctively. Implications: Retailers can contribute to lowering consumers’ risk perception of purchasing fresh food online and offer creative promotions to attract repeat purchases. Limitations: Only attitude correlated significantly with purchase intention, implying that additional variables may influence purchase intention. Also, although the influence of past experience is considered, a detailed distinction was not made. JEL: D01, D81

An artificial-intelligence-enabled sustainable supply chain model for B2C E-commerce business in the international trade

This work aims to improve the efficiency of logistics distribution in the international trade environment by optimizing the distribution path of the e-commerce supply chain model (SCM). First, this work analyzes the international trade and e-commerce backgrounds and unveils the existing problems in the sustainable supply chain model (SCM). Then, an experiment is designed to study sustainable SCM under the Business to Consumer (B2C) E-commerce business model and compare it to the Consumer to Consumer (C2C) business model. This research has important reference value for improving resource efficiency in the logistics field. The optimal experimental results of the model show that given an order quantity of 2000, the vehicle competition ratio (VCR) is only 1.1 when the vehicle capacity (VC) is 12. In contrast, when the VC is 72, the VCR is 1.45. Therefore, the greater that the load of a single vehicle in the logistics management system is, the higher the logistics distribution efficiency of the supply chain. The research content has practical application value for improving the efficiency of logistics distribution under the current e-commerce environment and promoting the digital and electronic development of international trade logistics.

Factors That Influence Trust of E-Commerce Consumers and its Implications on Muslim Consumers Participation in Islamic Perspective in Jakarta, Indonesia

Factors That Influence Trust of E-Commerce Consumers and its Implications on Muslim Consumers Participation in Islamic Perspective in Jakarta, Indonesia

Protection of Personal Data in Online Transactions Study of Decision Number 235/Pdt.G/2020/Pn.Jkt.Pst

In Indonesia, the most recent case of personal data leakage of e-commerce consumers was the personal data leak of the Tokopedia marketplace which occurred in early May 2020. Around 91 million Tokopedia user account data were hacked and sold on the dark web for US$ 5,000. This personal data leak case a lawsuit was filed against the Minister of Communication and Informatics and PT Tokopedia and has been decided by Decision Number: 235/PDT.G/2020/PN.JKT.PST. Protection of personal data in Indonesia deserves to be studied and the problem must be resolved immediately. In this study, a normative juridical method was used and it was found that problems related to regulation also contributed to the fact that the protection of personal data of online application consumers in Indonesia was not maximized. This is due to the fact that existing laws regarding the protection of consumer personal data are still deemed unable to overcome the problems. In addition to regulatory issues, there are also problems regarding the government's lack of oversight of online applications that surf in cyberspace that collect personal data of application users. In this case, it is necessary to immediately pass the Bill on Personal Data Protection.

Legal Protection of Customer Privacy on E-Commerce: A Comparative Study of Iranian and American Law

According to the most recent research, Iran's legal system needs to be continuously improved to keep up with international trends, particularly in the area of consumer rights. The Islamic Sharia, on which Iranian laws are based, may require further clarification and formulation in the form of legislative regulations that are appropriate when dealing with individuals. Equal rights for all parties involved in the contract and also the assistance of consumer rights are two essential provisions that should be included. Sharia prohibits a wide range of actions, but since the consumer is the mostvulnerable party associated with a contract, laws designed to safeguard him must be explicit and robust. This study compared Iranian regulations for consumer rights in e- commerce with American regulations using the descriptive method to describe, analyse, and compare them. The study's goal is to create Iranian laws and laws for e-commerce consumer rights. This study came to the conclusion that there is a need to create Iranian protection laws for consumers for e-commerce and raise awareness levels of the law using a variety of strategies, including education, advertising, government funding, and bolstering the functions of neighborhood associations that protect consumers. The study also shows that there are e-commerce fraud practices and techniques that require regulation and sanctions to protect consumers. A comprehensive law which safeguards private data across all digital purchases is also required, as are some of the restrictions within the Iranian e-commerce law. DOI : https://doi.org/10.54663/2182-9306.2023.sn12.5-24

Digital Business Communication Strategy Barometer: Stimulation of K-Pop Brand Ambassadors for Consumers of E-commerce Products in Indonesia

The popularity of K-Pop is considered to be in line with the adoption of certain product brands, now this is increasingly happening in Indonesia. Especially for companies that run digital business communication strategies through e-commerce channels, so they need to be stimulated through their brand ambassadors. This research is intended to make a barometer of digital business communication strategies through measuring the impact of K-Pop Brand Ambassador stimulation on purchasing decisions of e-commerce consumers in Indonesia. The data is calculated using the PLS-SEM analysis method with the calculation tools used are SmartPLS and G*Power. This research is based on simple random sampling involving 133 respondents. The test results show that the impact of K-Pop brand ambassadors on consumer purchasing decisions for e-commerce products in Indonesia is only 0.662, so it does not have a significant effect. Companies that use digital business communication strategies need to involve other, more substantial components, especially in increasing their brand interactions with consumers.

Retail advantage through a consumer-centric supply chain

How quickly will your supply chain become truly consumer-centric? It is a rare occurrence to find a retail supply chain that is not built with some degree of end consumer experience considerations in mind, because consumer experience is fundamental to any retailer’s strategy. The opportunities and benefits of increasing consumer centricity can, however, be significant, particularly as e-commerce adoption continues to grow. Supply chain priorities are shifting to respond to the seemingly ever-rising expectations of e-commerce consumers. This can be referred to as a shift from ‘C’s to ‘P’s. Supply chains now often offer choice and convenience for consumers, having establishing home delivery capabilities at a sustainable cost for retailers. But to be truly consumer-centric, supply chains must offer consumers the ability to express shopping and delivery preferences and in return make supply chain-driven promises to consumers, thereby creating personalised experiences that in turn expand the profit opportunity for retailers. Many retail supply chains are emerging from the pandemicinduced ‘fire drill’ priority of moving from a ‘lean’ emphasis to ‘agile’ in a matter of months. And as they re-establish predictability and consistency in the consumer experience outcome, a new level of innovation is emerging. Powered by data and integrated technology solutions, there is now a clear opportunity for supply chains to play a much bigger role in retailer differentiation. The new priority is a consumer-centric supply chain.

Intention to use e-commerce vs physical shopping. Difference between consumers in the post-COVID era

The increase in the widespread use of e-commerce reveals a greater tendency towards online shopping. The objective of this research is to analyze the drivers and barriers of online channel usage intention and their implications for physical channels, based on a modification of the UTAUT2 model, as well as to identify the relevant segments of e-commerce consumers versus physical shoppers in the post-COVID-19 era, using Hierarchical Tree Regression applying the CHAID method through an online questionnaire on a final sample of 491 Portuguese and 345 Spanish users. The results confirm the differences in the adoption of the use of electronic channels between the two countries, the absence of influence of most socio-demographic variables on intention, and the importance of behavioral variables in the definition of segments in both populations. Finally, strategic recommendations are made for each of the identified groups to improve the intention to use e-commerce platforms.

THE EFFECT OF RELATIONAL MARKETING ORIENTATION AND IMAGE ON LOYALTY MEDIATED BY CUSTOMER SATISFACTION OF E-COMMERCE BUSINESS IN BANDA ACEH CITY

This research aims to test the Relational Marketing Orientation and Image influence on Loyalty through Consumer Satisfaction in E-Commerce Businesses. The population was all e-commerce consumers in Banda Aceh City. The sample in this study was 160 people. Data were analyzed thru the Structural Modeling (SEM) technique. The results show that in the e-Commerce of Banda Aceh city, Relational Marketing Orientation affects satisfaction, Image affects satisfaction, Relational Marketing Orientation affects loyalty, Image affects loyalty, Satisfaction affects loyalty, Relational Marketing Orientation affects loyalty thru satisfaction, and Image affects loyalty thru satisfaction. These findings also prove that satisfaction functions as a partial mediator variable for the research model. These findings conclude that the model of increasing loyalty to e-commerce in the city of Banda Aceh is a function of strengthening Relational Marketing Orientation, strengthening image, and increasing customer satisfaction.

Cluster analysis-based big data mining method of e-commerce consumer behaviour

In order to overcome the problems of low precision and long time of data mining in traditional big data mining methods of consumer behaviour, a clustering analysis method for big data mining of e-commerce consumer behaviour is proposed. In this paper, the K-means algorithm is used to calculate the similarity of behaviour clustering nodes of fee payers, determine the clustering process of consumer behaviour data and determine the mining weight of behaviour data. According to the FCM clustering algorithm, the target function for data mining of e-commerce consumer behaviour is constructed. According to Lagrange multiplication, the membership degree of consumer behaviour data is obtained, and the big data mining of consumer behaviour in e-commerce is realised. The experimental results show that with the method proposed in this paper, when the number of consumers is 500, the time for big data mining of consumer behaviour is 15.6s and the accuracy of behaviour big data mining is 95.34%.

Segmenting B2C e-commerce consumers on the basis of consumer trust

Trust, in B2C e-commerce, has been recognized as an important barrier because of the transaction - that involves sharing of personal and financial data. It is well established that an absence of consumer online trust can have a negative impact on e-commerce, whereas unwavering trust climate can lead to business growth. This manuscript conducts a literature review and lists the determinants of trust in B2C e-commerce. The researchers intend to propose a conceptual framework for studying trust as well as segmenting consumers in the context of B2C e-commerce. This paper identifies 4 trust based consumer segments with the help of an empirical research. Proper segmentation will support brands and the marketing function in the formulation of appropriate targeting strategies to improve consumer conversion.

Prediction method of e-commerce consumers' purchase behavior based on social network data mining

Prediction method of e-commerce consumers' purchase behavior based on social network data mining

INFLUENCE OF DIGITAL MARKETING ON PURCHASING DECISIONS OF INTERNET USERS IN THAILAND

This research aimed to study the influence of digital marketing on the purchasing decisions of internet users in Thailand. The samples included were 400 internet users living in Thailand who were selected using the convenience sampling method. An online questionnaire hosted by Google Forms was used as the research instrument to collect data which were then analyzed using descriptive statistics and Multiple Regression Analysis. The results showed that online purchases of goods and services in the sample group were justified by their desire for the convenience provided by social media channels such as Facebook. Digital marketing on social media had the maximum influence on purchasing decisions of e-commerce consumers in Thailand at 0.333, with a statistical significance level of 0.05. Other factors followed this - websites, content marketing, e-mail marketing, and search engine optimization. In the future, it is reasonable to study other factors, such as combining the concept of Metaverse with the digital marketing strategy of merchants. It will be able to attract consumers' attention in online channels. Keywords: Digital Marketing, Internet Consumer Buying Decisions, Thailand, Social Media, Content Marketing DOI： https://doi.org/10.35741/issn.0258-2724.58.1.23

新冠病毒背景下基于评价理论的国内电商消费者话语分析

新冠病毒背景下基于评价理论的国内电商消费者话语分析

Data mining method of mobile e-commerce consumer purchase behavior

Data mining method of mobile e-commerce consumer purchase behavior