Research on the Influence of Anchor Attributes on Consumers’Online Behaviors in Social E-Commerce Platforms:The Moderating Effect of Platform Contextual Factors

As e-commerce continues to mature,the advantages of live streaming within the industry have become increasingly apparent,offering significant growth opportunities.Social e-commerce platforms,which are user-centered,integrate social networks with e-commerce by leveraging social interactions to drive product sales and enhance the overall consumer shopping experience.This type of e-commerce fosters engagement and promotes products by merging online communities with shopping behavior,creating a more interactive and dynamic marketplace.It not only retains the traditional e-commerce trading and marketing functions but also adds a social dimension,making live stream anchors crucial figures connecting consumers with products.These anchors can attract consumers with their appearance and charm,and use their expertise on live streaming platforms to guide consumers by recommending live content.They can also interact with their audiences and potentially influence them to purchase the recommended goods.It is evident that the attributes of anchors in live streaming rooms significantly impact consumers’online behavior.Therefore,researching how platform contextual factors regulate consumers’online behavior is of great practical significance.This study employs multilevel regression analysis to support its hypotheses using data.The findings indicate that contextual factors of the platform significantly influence online behavior,enhancing the positive relationship between user attachment and online activities.

Research on the Mechanism of Retail Strategy Influencing Consumer Behavior Intention——Based on Empirical Analysis of Domestic Luxury Cosmetics Brands

This is a research on the mechanism of retail strategy mix and consumer behavior intention,and psychological impact on consumer attitude, consumer purchase decision-making model and its components are conducted firstly. Next, retail strategy, merchandise strategy, and store strategy, contained in the retail management theory, are adopted as other important variables to measure the impact on consumer attitudes. And then, the key factors of retail strategy mix are identified by means of Focus Group (FG). In addition, the hypothetical model of retail strategy mix and consumer behavior intention for domestic luxury cosmetic brands is established to understand the relationship between the two factors. Finally, empirical researches are conducted on consumers and retailers of luxury cosmetics brands. And some advice are given on retail strategy mix's influence on the consumer behavior intentions, aiming to enlighten domestic luxury cosmetic enterprises to improve performance by the integrated use of retail strategy mix.

Factors Affecting Consumers’Internet Shopping Behavior During the COVID-19 Pandemic:Evidence from Bangladesh

The aim of the study was to investigate the factors affecting consumers’internet shopping behavior during the coronavirus disease(COVID-19)pandemic in Bangladesh.The study measured the influence of product factor,price factor,time saving factor,payment factor,security factor,administrative factor,and psychological factor on consumers’internet shopping behavior during the coronavirus disease(COVID-19)pandemic.The research collected data from May 10,2020 to June 10,2020 in personal interview by online survey method through a structured questionnaire with five-point Likert scales from 230 Bangladeshi online consumers.Non-probability sampling method was used.Data were analyzed using descriptive statistics analysis,reliability analysis,and multiple regression analysis.Results exhibited that all factors except price factor and security factor had a momentous and positive association with consumers’internet shopping behavior during the coronavirus disease(COVID-19)pandemic in Bangladesh.It has implications for e-marketing practicing firms regarding the real strategy of online shopping for Bangladeshi consumers during the coronavirus disease(COVID-19)pandemic in Bangladesh.

Unlocking the Network Traffic Password of the Sudden Popularity of Oriental Selection:Consumer Behavior Decision-Making Mechanism Based on Mental Accounting Theory

This paper explores the decision-making mechanism of the consuming behavior hidden behind the sudden popularity of the Oriental Selection Company in terms of the mental accounting theory.Firstly,according to the“Non-alternative”characteristics of mental accounting,this paper expounds how the strategy of the bilingual live-streaming of Oriental Selection promoters stimulates consumers’desire to buy the advertised products and services whilst using the utility theory of mental accounting to analyze how Oriental Selection promoters improve consumers’acquisition utility and total utility.Secondly,we sum up the successful experiences of Oriental Selection:The live-streaming industry should apply the theory of mental accounting in effectively overcoming the shortcomings of the live-streamed marketing by stimulating consumers’desire and influencing their decision-making behavior through the streaming of content that triggers them to make purchases.This is achievable by abandoning the traditional ways of loudly urging consumers to buy goods.Finally,this paper puts forward some suggestions on how to use the mental accounting theory in promoting sustainable consumption and points out the prospects for Oriental Selection.

Developing an Extended Theory of Planned Behavior Model for Small E-Waste Recycling:An Analysis of Consumer Behavior Determinants

WEEE(Waste Electrical and Electronic Equipment),also called e-waste,has become the world’s fastest-growing waste stream but only has a 17.4%recycling rate according to the Global E-waste Monitor 2020.The collection rate for sWEEE(Small WEEE),e.g.,used mobile phones,is even lower than 10%due to stockpiling at home and improper disposal via the general waste or private informal channels.The purpose of this paper was to(a)review how the TPB(Theory of Planned Behavior)was applied in the literature related to consumer behavioral intention for WEEE recycling and determine the most significant TPB predictors by comparing their standardized influence coefficients across various studies,and(b)identify additional behavior determinants specific to sWEEE recycling and thus develop a new TPB-sWEEE theoretical framework by integrating the TPB model with these new determinants in order to improve the predictability of consumers’sWEEE recycling behavioral intention.This paper reviewed over 30 peer-reviewed studies from Scopus and high impact factor journals and led to the following three key findings:(a)More variables of recycling behavioral intention determinants such as the size of WEEE need to be considered;(b)Eight sWEEE-specific behavioral determinants have been identified and included in the newly developed TPB-sWEEE model,including consumers’Sentimental Attachment,Data Security Concern,Economic Incentives,and How-to Knowledge;(c)For some sWEEE-specific determinants,their extent of influence differs across various regions and countries.This paper contributes to the sWEEE-specific consumer recycling behavior theoretical framework to fill the existing gap in the literature and provides recommendations through the new model for research-based behavioral intervention strategies and policy designs globally.

Comparative study on consumption behaviors in private car markets between large and medium-small cities in China

With the economic development and the acceleration of motorization in China,the number of private cars increases rapidly in urban areas.However,the limit of urban resources and the contradiction between traffic supply and demand are increasingly prominent in large cities,while private car consumption has been a new "light" in medium and small cities.Consumers' behaviors differ from region to region.Aiming at the above problems,we formulate structural equation modeling and carry out empirical research.In this paper,a comparative study about the main influential factors that affect the consumption of private cars in large and small cities in China is made,and it is hoped that some guidance for policy recommendations can be obtained.

Research on Online Education Consumer Choice Behavior Path Based on Informatization

The application of information and communications technology(ICT)in the education industry is becoming more and more extensive,and online education realized through ICT is developing in full swing.The influence of ICT on online education consumer's choice behavior is the core issue of online education industry development research.The research on the interactive path and methods of information and online education consumer choice behavior is worth exploring and revealing.This study introduces the word-of-mouth factor as a new research variable under the framework of the Rational Choice Theory model(RCT)and the structural equation method to conduct empirical research and theoretical analysis to verify the validity of the hypothesis and model.The fifthGeneration mobile communication system(5 G)analyses the factors affecting online education consumer behavior choices based on the premise of ICT.Research on the path between ICT and choice behavior provides new ideas for online education consumer choice behavior research and ICT and content and provides a new scenario.This article is a cross-disciplinary research content in theory,and its innovation opens up a new path for the management of ICT research.The research results have innovative significance and value at both the theoretical and practical levels.

The Impact of Digital Payment on Consumer Behavior in China

To continue China’s economic growth,plenty of research has been conducted to find the relationship between advancing payment methods and thriving consumption.Currently,digital payment is the latest and most mature way in China.Instead of being a single application for online transactions,digital payment represents a complete online shopping environment.To generally review the impact of digital payment on consumer behavior in China,literature containing research on consumers from different age groups and gender will be collected and concluded.This research takes women and undergraduate students as the critical research object because people ubiquitously consider these two groups of people as the primary consumers in the e-commerce market.After arranging information from the research about three stages that cover the shopping intention by digital payment,consumer psychology,and consumer behavior,this review concludes that economic growth is potentially attained by digital payment in a secure online environment,with the business target at profit maximization at the same time keeping consumers rationale in a normal range,especially for woman and undergraduate students.

Application Research of the Integrative Mathematics Model in Household Consumption Behavior

In this paper, two hypotheses are integrated into an independent model to explain consumer behavior. The model is empirically tested using data from China Family Cost Survey of 2001. The results indicate that China household consumption behavior is commonly explained by two hypotheses as an independent model, reverse to previously treating them as commutative exclusive hypotheses.

Social Media Influence on College Students'Consumption Behavior and Marketing Strategy

Nowadays,the use of social media is everywhere in college campuses.You can often see students who stare down at the mobile phone screen and brush the dynamic circle of friends,even community meetings,group discussions are beginning to be replaced by WeChat Group.The rapid development of social media allows marketers to see more possibilities for marketing.College students group is a group that marketers can not ignore,this kind of target consumers also have their own characteristics.Only by understanding the characteristics and behavior of consumers can we better discover and spread demand.This paper will analyze the influence of the development of social media on the consumption behavior of college students,and put forward some suggestions on how to use social media to carry out marketing.

Research on the O2O model of consumer behavior under the perspectives of culture and values

In this paper, we conduct research on the O2O model of the consumer behavior under the perspectives of culture and values.Electronic commerce is striding forward O2O will follow the pace of history. O2O mode obvious advantages, is helpful to promote thedevelopment of the electricity industry. O2O model development has quietly changed our life, is not only the change of consumption patterns,but also poses challenges to the traditional industry. O2O core is through the sale, to provide information and services, to push offl ine storesales promotion information to Internet users, and take them to the entity shop to consumer goods or enjoy. This paper integrates the consumerbehavior to propose the new O2O model which is innovative.

The Characteristics of Consumer Behavior and Its Impact on Network Marketing in The Environment of Electronic Commerce

The change and development of the environment of electronic commerce has a great influence on enterprises and consumers. The characteristics of the consumer behavior is changing,the marketing mode of enterprise, especially network marketing, is gradually affected. This paper analyzes the challenges faced by the production and operation activities of traditional enterprise,the changes of consumer behavior, and some problems and countermeasures in network marketing.

Analysis of Consumer Behavior in Regard to the Beef Meat in Kosovo

In this study, consumer’s behavior in the Kosovo in respect to beef meat was studied using different socio-economic variables assessed by so-called evaluation criteria as: “very important”, “important”, “same”, and “less important”. The overall objective of the study was to analyze the consumer behavior in regard to beef meat in Kosovo and possibly identify effects of different variables on consumer decision upon purchase of beef meat. Beef meat was perceived differently at various types of purchasing places. Important socio-economic variables explaining individual respondent differences in consumer behaviors regarding purchase of beef meat involved in our study were: price, label, package, quality, trust, and origin of the product, gender of consumer, monthly family income, family member size, employment status of respondents, different regions in Kosovo. Perceived quality, price and trust of the beef meat product were significantly more important (P < 0.05) than all other characteristics no matter of gender, family size, respondent region, monthly economic income or other issues. Supermarkets and retail story’s are the preferred place for buying beef meat for all family size groups ranging from 46.10% - 72.06%, respectively. Conclusions derived from the analysis suggest that assessment of consumer’s behavior through evaluation criteria can contribute to a better understanding of consumer behavior in respect of beef meat and will have positive impact and improve linkages between farmers, traders, processors and consumers as last part of this chain in Kosovo.

How Environmental Attitudes Affect Consumers’Willingness to Engage in Green Consumption Behaviors:The Moderating Role of“Plastic Restriction”

Consumers’willingness to engage in green consumption behavior will be guided by internal psychological factors and also influenced by external environmental factors.One of the most common external interventions is the issuance of scientific policies and regulations.The government may introduce policies and regulations that help to increase the willingness of green consumption behavior,such as energy-saving and emission reduction policies and policies to restrict plastic products.In this paper,the authors study the mechanism of the effect of environmental attitudes on consumers’willingness to engage in green consumption behavior from the perspective of“plastic restriction”,and conclude that the magnitude of the effect of policies and regulations on the willingness to engage in green consumption behavior varies significantly at different levels of environmental attitudes.This study provides scientific implementation ideas and targeted management suggestions for the government to formulate effective external intervention policies for green consumption.

Design and Application of Experimental Teaching in Consumer Behavior Courses

This article mainly elaborates on the design and application of experimental teaching in the teaching of consumer behavior.To study consumer behavior,it is necessary to understand their information collection activities before acquiring goods and services,as well as the evaluation and selection of goods,services,or brands.It is also important to pay attention to how they handle products and activities based on their satisfaction after purchasing products or services.In addition,through inquiry experiments,the learning effects of students can be improved,thereby highlighting the significance of inquiry experiments.

Significance of Live Streaming in Shaping Business: A Critical Review and Analytical Study

With the rise of live streaming on social media, platforms like Facebook, Instagram, and YouTube have become powerful business tools. They enable users to share live videos, fostering direct connections between businesses and their customers. This critical literature review paper explores the impact of live streaming on businesses, focusing on its role in attracting and satisfying consumers by promoting products tailored to their needs and wants. It emphasizes live streaming’s crucial role in engaging customers, a key to business growth. The study also provides viable strategies for businesses to leverage live streaming for growth and customer engagement, underscoring its importance in the business landscape.

Ending Privacy’s Gremlin: Stopping the Data-Broker Loophole to the Fourth Amendment’s Search Warrant Requirement

Advances in technology require upgrades in the law. One such area involves data brokers, which have thus far gone unregulated. Data brokers use artificial intelligence to aggregate information into data profiles about individual Americans derived from consumer use of the internet and connected devices. Data profiles are then sold for profit. Government investigators use a legal loophole to purchase this data instead of obtaining a search warrant, which the Fourth Amendment would otherwise require. Consumers have lacked a reasonable means to fight or correct the information data brokers collect. Americans may not even be aware of the risks of data aggregation, which upends the test of reasonable expectations used in a search warrant analysis. Data aggregation should be controlled and regulated, which is the direction some privacy laws take. Legislatures must step forward to safeguard against shadowy data-profiling practices, whether abroad or at home. In the meantime, courts can modify their search warrant analysis by including data privacy principles.

Research on the Application Effects of Artificial Intelligence in Personalized Marketing

Artificial Intelligence (AI) technology is profoundly transforming personalized marketing practices. This study employs a mixed-methods approach to explore the application effects of AI in personalized marketing. The research first outlines the primary forms of AI-driven personalized marketing, including intelligent recommendation systems, dynamic pricing, and personalized content generation. Through analysis across multiple industries, the study summarizes best practices and common pitfalls of AI applications. Results indicate that AI can significantly enhance marketing relevance and timeliness but may also raise concerns about privacy and algorithmic discrimination. The study compares the effectiveness of AI-driven and traditional methods in various marketing scenarios. AI excels in handling large-scale, real-time personalization needs but may be less effective than human intervention in scenarios requiring deep emotional connections. Finally, the study discusses the prospects of ethical AI in personalized marketing, emphasizing the importance of transparency and explainability. This research provides theoretical and practical guidance for enterprises to effectively leverage AI technology to improve personalized marketing effectiveness.

Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models

With the rapid growth of e-commerce and online transactions, e-commerce platforms face a critical challenge: predicting consumer behavior after purchase. This study aimed to forecast such after-sales behavior within the digital retail environment. We utilized four machine learning models: logistic regression, decision tree, random forest, and XGBoost, employing SMOTE oversampling and class weighting techniques to address class imbalance. To bolster the models’ predictive capabilities, we executed pivotal data processing steps, including feature derivation and one-hot encoding. Upon rigorous evaluation of the models’ performance through the 5-fold cross-validation method, the random forest model was identified as the superior performer, excelling in accuracy, F1 score, and AUC value, and was thus deemed the most effective model for anticipating consumer after-sales behavior. The findings from this research offer actionable strategies for e-commerce platforms to refine their after-sales services and enhance customer satisfaction.

Downtown Retailing Development Under Suburbanization——A Case Study of Beijing

The role of retailing has diminished in the center of cities of Western countries since its heyday in the 1920s. This trend was caused by violent transformations in the economic, social and locational contexts which involve resi- dential suburbanization, as well as new forms of commercial development out of town. As far as transforming China is concerned, the downtown retailing center has also come to turning point of development in the context of suburbaniza- tion. Based on the survey of Beijing residents’ shopping behavior, the present research tends to making clear the actual change and development problem of downtown retailing center. Combining with the macro retailing environment, re- lated influencing factors are further discussed too. Study results show that downtown retailing still plays an important part in resident’s shopping activity. However, with rapid urban sprawl, retailing in urban center has been greatly threatened by booming out-of-town commerce. In the course of such spatial change, the suburbanization of resident, the prevalence of new commercial forms and the change of consumers’ life style all have exerted their own pressure on downtown retailing. But for the special socioeconomic background of development and the support of government policy, it will still keep its vitality of retailing for a long period of time.