Consumer E-commerce Research Articles

Cluster analysis-based big data mining method of E-commerce consumer behavior

Cluster analysis-based big data mining method of E-commerce consumer behavior

Repurchase intention of e-commerce customers in Indonesia: An overview of the effect of e-service quality, e-word of mouth, customer trust, and customer satisfaction mediation

The rapid development of e-commerce in Indonesia makes the competition in this business increasingly fierce. This study aims to determine and analyze the effect of e-service quality, e-word of mouth (e-WOM), customer trust on customer satisfaction on e-commerce customers in Indonesia, then the study aims to determine and analyze the effect of e-service quality, e-word of mouth (e-WOM), customer trust and customer satisfaction on the repurchase intention of e-commerce customers in Indonesia. The study also aims to determine and analyze the mediating role of customer satisfaction on the relationship between e-service quality, e-word of mouth (e-WOM), and customer trust in repurchase intentions. The research is quantitative by distributing questionnaires to respondents; the sample collection method is purposive sampling. The number of samples used was 344 e-commerce consumers from Shopee, Tokopedia, Lazada, and Bukalapak throughout Indonesia. Data processing is applied by using the SmartPLS 3 Structural Equation Modelling (SEM) method. The results of this study indicate that there was a positive and significant effect of e-service quality on customer satisfaction, there was a positive and significant effect of e-WOM on customer satisfaction, customer trust had a positive and significant impact on customer satisfaction, e-service quality had no significant effect on purchase intention, e-WOM had a positive and significant effect on repurchase intention, customer trust had no significant effect on repurchase intention, e-service quality had a positive and significant effect on repurchase intention through customer satisfaction, e-WOM had a positive and significant effect on repurchase intention through customer satisfaction, customers trust had a positive and significant impact on repurchase intention through customer satisfaction.

The Problems of International Civil Law of Indonesia in Protecting Transnational E-Commerce Consumers

Technological advances on a transnational scale have had a considerable impact on all levels of Indonesian society. One of the technological advances is the existence of gadgets. Not only positive effects, but they also bring negative impacts. Furthermore, the existence of gadgets continues to grow with more transactions being carried out. Unfortunately, this can be a dispute. The purpose of this research is to propose the problems of Indonesian International Civil Law which have not regulated and provided guarantees to protect transnational e-Commerce interests and their solutions. The method used in this research is normative with a statutory and conceptual approach. The results of this study are the existence of Consumer Protection Law (UUPK), Electronic Information and Transactions Law (ITE Law), Money Supply Law (UUUP), and International Civil Law (HPI) of Indonesia have not provided a clear guarantee of protection related to the choice of law in transnational scale e-commerce contracts. Besides, they also have not been able to accommodate the interests of consumers. One of the solutions offered is concretizing the principle of the recipient country. It is a rule that allows end-users to apply the Consumer Protection Law of their country. This principle is excluded from consumer transactions. This also does not apply .e-commerce contracts. This principle is taken from the Rome and Brussels Convention which is incorporated into the Directive, namely the Law for the EEC community (Europe Union). To provide legal guarantees for consumers, thus the interests’s of consumers can be protected.

Retracted: Big Data Mining Method of E-Commerce Consumption Pattern Based on Mobile Platform

Retracted: Big Data Mining Method of E-Commerce Consumption Pattern Based on Mobile Platform

Factors Influencing Consumer Satisfaction of Fresh Produce E-Commerce in the Background of COVID-19—A Hybrid Approach Based on LDA-SEM-XGBoost

In order to clarify the influencing factors of fresh produce e-commerce consumer satisfaction in the context of COVID-19, a hybrid approach based on LDA-SEM-XGBoost was proposed by studying online reviews. Firstly, topic elements were extracted through the LDA topic model, PLS-SEM was established to explore the paths between variables, and XGBoost models were applied to rank the importance of each topic variable based on satisfaction. The results showed that epidemic factors had a significant impact on logistics factors, product factors, and platform factors, with the epidemic factors having the greatest impact on logistics factors. Logistics factors, product factors, platform factors, and epidemic factors had a significant impact on consumer satisfaction, with logistics factors having the greatest impact on satisfaction. The topic variables affecting fresh produce e-commerce consumer satisfaction were, in order: logistics time, shipping speed, product quality, delivery speed, after-sales strategy, logistics packaging, product price, the impact of COVID-19, marketing strategy, and product brand. Based on these findings, recommendations are made for the sustainable production and marketing of fresh produce.

Research on fresh food e-commerce model innovation under the background of COVID-19

Driven by the wave of "lazy economy" and the epidemic, Chinese fresh e-commerce consumption continues to grow, and the industry market scale continues to expand. Under the background of new crown outbreak fresh electrical business model mainly USES the centralized purchasing front storehouse, community marketing model and vertical electrical business operating model, with a surge of orders, the fresh electric business enterprise to develop large-scale further prompt "front storehouse" model and the improvement of purchasing channels and new business model of development, and promote the development of good fresh electricity industry.

Analysis of Consumer Behavior in Community and Campus Based on Questionnaire-Taking Tianjin University Students and the Elderly as Examples

With the gradual improvement of the supply chain and the rapid development of the e-commerce economy, community e-commerce and campus e-commerce is getting closer to daily life. The outbreak of the new crown epidemic in 2020 has promoted online community group buying, fresh food e-commerce and campus e-commerce. With the rapid development of other formats, the consumer group has been greatly expanded. This article conducts a questionnaire survey on the community e-commerce and campus e-commerce consumer groups in the post-epidemic period, after using the "Questionnaire Star" software to make questionnaires, the research members disseminated the questionnaires among the surrounding college students through various social channels. At the same time, the researchers also visited universities and communities in Tianjin, and randomly invited college students and elderly people to fill out the questionnaires, then analyzes the consumption behavior of consumers of different age groups and living conditions in terms of consumption time, reasons for purchase, types of products purchased, and preferences for promotional activities characteristics, and then further compare the differences and similarities of the consumption behavior of the elderly and college students, deeply explore the needs of consumers, integrate and optimize data, and provide scientific decision-making suggestions for the operation of e-commerce companies between the two groups. The choice of community and campus e-commerce supply models is more realistic.

Gain-framed product descriptions are more appealing to elderly consumers in live streaming E-commerce: Implications from a controlled experiment

Live streaming e-commerce has become increasingly popular among elderly consumers. This new form of online shopping allows the elderly, who might be less effective in making purchase decisions than younger people, to better understand the products sold through the comprehensive descriptions provided by the anchors. This study is interested in investigating the effects of the gain-loss framing of product descriptions on the elderly's purchase intention. A total of 36 participants between the ages of 60 and 70 were invited to watch a number of live streaming videos involving either gain- or loss-framed product descriptions in a controlled experiment. The results show that the gain-framed descriptions of the products engendered significantly higher purchase intention among the participants than the loss-framed ones. In particular, the gain-framed descriptions were effective for the participants with high approach motivation, but not for those with low approach motivation, which suggests the significant moderating effect of approach motivation. This study focused on the elderly customers whose life quality can be greatly enhanced by live streaming e-commerce. The findings not only add to the knowledge about the effects of message framing, but also provide useful implications for live-streaming e-commerce practitioners to increase the persuasiveness of their product descriptions.

Determinant factors of repurchase interest of buying fashion products online in e-commerce

This study aims to analyze and explain the effect of e-service quality, price perception, and experiential marketing on the repurchase intention of online fashion products in e-commerce. The research uses a quantitative approach, design research with a survey to the respondents. The population is all consumers who shop for fashion through online sales in Indonesia e-commerce. Collecting data using non-probability sampling method, by means of self-selection and convenience, those who are easy to find, meet the requirements as a population and are willing to be used as research samples. The number of samples is 290 respondents. Analysis using the Structural Equation Model (SEM) method with AMOS 24.0 Software. The results of the analysis can show that e-service quality, price perception, and experiential marketing have a positive and significant effect on customer satisfaction. E-service quality, experiential marketing, and customer satisfaction have a positive and significant effect on repurchase intention. However, price perception has a negative and significant effect on repurchase intention. The novelty of this research is to explore the determinants of repurchase intention with the influencing variables consist of service quality, price perception and fashion shopping experience by Indonesian consumers in e-commerce through the intervening variable of customer satisfaction for customers in Indonesia.

E-commerce in high uncertainty avoidance cultures: The driving forces of repurchase and word-of-mouth intentions

This study proposes and empirically tests a contextualized model for investigating repurchase intentions of e-commerce consumers as well as their word-of-mouth (WOM) intentions in high uncertainty avoidance cultures and based on a synthesis of the S–O-R paradigm and Information Processing Theory (IPT). Data for the study were collected from 560 Jordanian online customers and analysed using structural equation modelling (PLS-SEM). The findings demonstrated that the dimensions of policy service quality including cash-on-delivery (COD) payment options and return policy leniency, positively influenced customer trust. In addition, electronic logistics service quality (LSQ) dimensions positively impacted customer satisfaction. Furthermore, it was found that satisfaction of online consumers is a major driver of their trust, repurchase, and WOM intentions. While customer trust was revealed as a key enabler of repurchase intention, its effect on WOM was insignificant. The findings provide useful implications for both practice and future research.

Personal Data Protection to E-Commerce Consumer: What Are the Legal Challenges and Certainties?

Internet is one of the media facilities that is not only used for communication, but is also used in the process of buying and selling or trading (e-commerce). Behind all the conveniences obtained, e-commerce also raises the issue of consumer concerns on the responsibility for personal data. This study aimed to examine and re-explain the urgency of protecting personal data of e-commerce consumers and focused on the challenges and legal certainty of protecting personal data of e-commerce consumers in Indonesia. The method used was a doctrinal research method. This study showed that the application of data in e-commerce provides many benefits. However, the challenge was the absence of binding laws to safeguard personal data submitted to e-commerce companies. Legal certainty for the protection of e-commerce consumers is currently contained in several laws and regulations. Therefore, it is necessary to improve the effectiveness in the implementation of personal data protection and to regulate the protection of personal data in a law. In Indonesia, the urgency of the ratification of the Personal Data Protection Bill may become a solution in providing legal certainty for the protection of e-commerce consumers on their personal data.

Privacy concerns in consumer E-commerce activities and response to social media advertising: Empirical evidence from Europe

This research quantifies how privacy concerns and consumer characteristics are associated with e-commerce participation and consumer response to social media advertising by accounting for both individual-level and country-level covariates. This study uniquely analyzes a rich micro-level data set that includes responses of 153,053 individuals from 29 European countries. Through multilevel logit modelling, authors account for the country nested structure of consumer behavior and report odds ratios for relations between privacy measures and e-commerce activities of consumers in Europe. Privacy risk knowledge and online information sharing levels are positively correlated with probability of e-commerce participation. Odds of e-commerce participation are negatively associated with level of concern on online activity recordings. Consumers who take more protective actions against online privacy risks are more likely to participate in e-commerce and make purchase in response to social media advertisements. Firms that offer credible tools to help consumers protect their online privacy can benefit from increased e-commerce participation and higher effectiveness in social media advertising. Representative sampling in data collection offers external validity and generalizability of findings to the European market, which is unique for this study and an empirical contribution.

Determinant Determinant Factors Of Purchase Decision Among Muslim Consumers In E-commerce

This study tries to analyze the determinant factors that influence the purchasing decisions of Muslim consumers in Pati who use e-commerce. The object of this research is Muslim consumers in Pati who use e-commerce. There are 100 samples calculated by the Lemeshow formula. The analytical method used is multiple regression with the SPSS 22 analysis tool. The results of this study indicate that Muslim consumer trust in Pati is significant and has an impact on purchasing decisions in e-commerce. Then the ease of use of e-commerce sites or applications is also significant and has an impact on their purchasing decisions in e-commerce. Service quality is significant and influences the purchasing decisions of Muslim consumers in Pati when using e-commerce. Price is an influential and significant determinant of consumer purchasing decisions in e-commerce. Product diversity is significant and has an effect on the purchasing decisions of Muslim consumers in e-commerce.Then the other effect was explained by other factors outside of the factors that were used in this research.

Understanding e-commerce customer behaviors to use drone delivery services: A privacy calculus view

Drone delivery is an emerging service at the early adoption stage. It is imperative to understand what it takes for the public to accept such emerging services. This study asks what mechanism influences people’s switching intention in e-commerce drone delivery services. A 7 points Likert scale questionnaire were developed after the two rounds of pretest and a total of 83 surveys were collected from a business school in USA. This study applies privacy calculus theory and technology anxiety in innovation to develop a research model. An empirical survey and structural equation modeling analysis with SmartPLS and a consistent PLS algorithm are used to understand the hedging effect of relative advantages of drone delivery services and technology anxiety on the switching intention of e-commerce consumers. Theoretically, this research adds the e-commence literature, suggesting that people appreciate drone delivery’s speed and environmental protection advantages. However, privacy risk severity and vulnerability are not significant predictors of technology anxiety, negatively impacting switching intention. This study also provided practical contribution to improve the service development of e-commerce company to deliver their products to their customers with the most efficient resources being used.

Sustaining Consumer E-Commerce Adoption in Sub-Saharan Africa: Do Trust and Payment Method Matter?

The long-term sustainability of e-commerce usage for improving quality of life is dependent on several factors. Presently, trust and payment methods have emerged as critical factors influencing e-commerce adoption. Consequently, this study investigates the UTAUT determinants of consumer e-commerce adoption in Ghana by focusing on the mediating and moderating roles of trust and payment method. The study employs the Partial Least Square Structural Equation Model (PLS-SEM) to estimate the survey response of 535 purposively selected respondents from six regions in Ghana. The results corroborate a direct relationship between the UTAUT variables and e-commerce adoption. However, the payment method suggests no moderating effect on trust and e-commerce adoption connection. Nevertheless, trust significantly mediates the UTAUT variables and e-commerce adoption. Finally, the mediation was highest between social influence and trust but lowest between effort expectancy and trust. This challenges practitioners and managers of e-commerce platforms to consider the mediating role of trust to improve adoption and the sustainable usage of e-commerce.

Brand Preference Prediction Method of Cross-Border E-Commerce Consumers Based on Potential Tag Mining

There are many brands in cross-border e-commerce platforms. Obtaining consumers’ preference for brands will help promote the development of cross-border e-commerce industry. A brand preference prediction method of cross-border e-commerce consumers based on potential tag mining is proposed. Preprocess the cross-border e-commerce brand comment information obtained, build a HowNet emotion dictionary, and calculate consumers’ emotional tendency towards the brand on this basis. The projection pursuit regression model is optimized by differential evolution algorithm to reduce the dimension of the obtained consumer brand emotion information. Mining the potential labels of the information after dimensionality reduction, combined with Bayesian personalized sorting method and paired interaction tensor decomposition method, this paper constructs a brand preference’s prediction model to predict the brand preference of cross-border e-commerce consumers. The experimental results show that the proposed method has high accuracy of brand tendency calculation results, small average absolute error of prediction results, and high model accuracy.

Shaping the purchasing choice of different generations of consumers in e-commerce

Shaping the purchasing choice of different generations of consumers in e-commerce

Social Media Marketing on Purchase Intention through Mediated Variables of Perceived Value and Perceived Risk

During the COVID-19 pandemic, there was an increase in e-commerce transactions. In 2020, there was an increase in the nominal e-commerce transactions by 29.6% from IDR 205.5 trillion in 2019 to IDR 266.3 trillion. This increase in sales from e-commerce makes manufacturers one of the opportunities to increase sales of their products by utilizing the internet network to make it easier to communicate and market their products. The research discusses how social media marketing affects purchase intention through mediated variables, namely perceived value and perceived risk. This research used the quantitative approach with explanatory research. This research was conducted offline through the distribution of questionnaires and online through online questionnaires given to market place consumers who have the desire to make purchases in cash on delivery on e-commerce without a purchase platform. This research was conducted on e-commerce consumers in Malang. Social media marketing in this study has a positive influence on purchase intention, perceived value, and perceive risk. Social media marketing in this study has been shown to affect purchase intentions that are mediated by perceived value. On the other hand, it does not affect purchase intentions that are mediated with perceived risk.

Effects of Interface Design and Live Atmosphere on Consumers’ Impulse-Buying Behaviour from the Perspective of Human–Computer Interaction

Since its introduction, live e-commerce has shown rapid growth, especially in regions such as China, where the total market size has exceeded trillions of RMB. However, e-commerce live streaming has also caused widespread consumer impulse-buying behaviour during the development process. Therefore, based on stimulus–organism–response theory, from the perspective of human–computer interaction, this paper develops an impulse-purchase model for live e-commerce consumers, uses partial least squares structural equation modelling to process and analyse 339 valid questionnaires and, finally, validates the proposed hypotheses. The findings show that consumers’ visual appeal, perceived arousal and engagement play a mediating role in the relations among interface design, live atmosphere and impulse purchase. To promote the sustainability of a live-streaming economy, live-streaming platforms need to design attractive live-streaming interfaces, build a pleasant live-streaming atmosphere and enhance consumers’ positive emotions, while preventing their irrational purchasing behaviour. An in-depth analysis of the formation mechanism of this behaviour can help in alleviating the limitations of the lack of rich research results and a single perspective in this field. In addition, it can help stakeholders promote the sustainability of e-commerce live streaming in practice.

Model Construction of Hierarchical Polarization Characteristics Combined with Social E-Commerce Consumer Behavior

In order to analyze the consumer behavior of social e-commerce, this article attempts to explore the irrational consumer behavior factors that affect the audience in the live broadcast of e-commerce Internet celebrities. This paper predicts and analyzes the consumption behavior of social e-commerce and combines the characteristics of hierarchical planning to intelligently process the system to improve the effectiveness of the system. Moreover, this paper constructs a social e-commerce consumer behavior prediction model based on hierarchical polarization characteristics, researches and analyzes multiple factors and performance, and builds an intelligent simulation model. The analysis of the test results shows that the social e-commerce consumer behavior prediction model based on the hierarchical polarization characteristics proposed in this article is effective and can play an important role in the prediction of social consumer behavior.