Sentiment Mining of Consumer Reviews: Evidence from Guangxi Fresh Fruit Supply on China's JD.com E-commerce Platform

This study identifies the product supply chain management issues based on significant data analysis methods by considering user evaluation data from JD.com e-commerce platform, a central e-commerce platform in China. Fresh fruit contributes to substantial sales in e-commerce platforms due to the particular characteristics of freshness. The quality perception of fresh fruits directly affects consumers' trust and willingness to repurchase. Therefore, studying the perceived value of online shopping for fresh fruit consumers in Guangxi, China, is significant to the operation and marketing of fresh fruit e-commerce. In view of these perspectives, we developed a user portrait model for fresh fruits in the Guangxi province based on three key dimensions: user information, fruit category details, and user evaluation information. Utilizing Rost CM software to analyze the content of user comments, including keyword word frequency analysis, semantic network analysis and consumers' shopping sentiment mining, so as to find out the existing problems, and provide decision-making reference for the improvement of the supply chain system of fresh fruits in Guangxi

Research on E-commerce Online to Offline Behavior Mechanism in Agricultural Products

Currently, online and offline channel integration as a successful business model is used in many industries, this paper aims at providing an insight into the factors affecting online channel (online shop) and offline channels (entity shop) in the agricultural product industry. Drawn from the extant literature, a consumer online and offline behavior model including trust, system quality, information quality , environment quality and service quality, online and offline satisfaction ,customer loyalty were provides. Data were obtained from 228 customers in china during 2014. Based on the data obtained, SPSS19.0 software is used to analyze reliability test and validity, descriptive statistics, correlation analysis, and AMOS17.0 were employed to calculate the path coefficient, and tests the proposed model. Data analysis shows that: The model describes the relationship among the online satisfaction, offline satisfaction and customer loyalty, and establishes a multi-relationship model that includes trust, system quality, information quality, environment quality and service quality. The factors impacting online satisfaction include trust, system quality and information quality; the factors impacting offline satisfaction include environment satisfaction and service quality. Meanwhile, we highlight the role of trust in online satisfaction, and prove that both online satisfaction and offline satisfaction have interaction on customer loyalty. Keywords

An Analysis of Factors Influencing Consumers\u27 Continued Purchase Intention Based on Online Shopping Pre-sale Mode

Online shopping pre-sale has great commercial value, and the key is to realize its commercial value,which is shown by the continuous purchase made by consumers. However, in China, there is a lack of relevant research on the factors affecting consumers\u27 continued purchase intention. Based on the expectation confirmation theory, this paper constructs a model to explore the influential factors of the consumer\u27s continued purchase intention. This study employed the Structural Equation Model (SEM) to perform empirical analysis. The results showed that the main influential factors of consumer’s continued purchase intention include perceived usefulness, perceived ease of use, expectation confirmation, and satisfaction. Among which, satisfaction had relatively high influence while perceived usefulness had a relatively low influence. Perceived usefulness and perceived ease of use had an indirect effect on the continued purchase intention through satisfaction

Research on the Influence of Pinduoduo Group-Buying Mode on Consumers\u27 Impulse Buying

Social commerce, with its unique social attributes, has promoted the group-buying mode to become an important marketing tool. Based on the stimulus-organism-response (S-O-R) paradigm, this study constructs a research model of the impact of the social e-commerce platform Pinduoduo group-buying mode on impulse buying, and uses structural equation model (SEM) for empirical analysis. The research results show that under the group-buying mode: perceived price fairness and reciprocity have significant positive influence on satisfaction; source credibility and similarity have positive effects on trust. Trust is positively correlated with satisfaction. Trust significantly affects impulsive buying impulse, but satisfaction has no significant impact on impulsive buying impulse

Exploring Factors Influencing Showrooming Behavior in Multi-Channel Shopping: A Cognitive Appraisal Theory Perspective

Multi-channel shopping keeping consumers from changing retailers during the channel conversion process has become an important issue. Showrooming, one of the increasingly popular form of multi-channel behavior, brings different influences to retailers. This paper focuses on how to keep consumers loyal to retailer of showrooming behavior during the channel conversion process, and explore its influencing factors from the perspective of cognitive appraisal theory. Three hundred and ten questionnaires were collected to conduct empirical analysis by structural equation modeling (SEM). The empirical research results show that information availability, price comparison, and after sales service positively affect perceived fluency and perceived value, but interaction service has no significant effect on perceived fluency and perceived value, and that perceived value and perceived fluency further promote the appearance of showrooming behavior. The research results improve the existing showrooming research system, and provide suggestions for retailers on how to improve the channel characteristics to promote positive showrooming

E-Commerce in Agri-Food Sector : A Systematic Literature Review Based on Service-Dominant Logic

Agricultural e-commerce (AE) has attracted substantial attention within various research disciplines for several years. In this paper, we present a literature review of the recent state of AE research published from 2000 through to 2021 in 83 journals. Based on Service-Dominant Logic (S-D logic) and Qualitative Comparative Analysis (QCA), we identify six research themes, and a theoretical continuum is applied to reveal how research themes and scholarly approaches fit into the S-D logic framework. A general increasing trend in the number of articles confirms the escalating interest in AE research; however, different themes perform unevenly with S-D logic. Even though research themes such as Consumer Willingness are getting closer to S-D logic premises, and ideologies that are increasingly approaching S-D logic have been applied to analyzing AE topics, unfortunately, there remains a paucity of papers that wield S-D logic in the AE field. Our research focuses on an innovative emerging AE field and, simultaneously, provides an approach of integrating S-D logic into analyzing academic papers in the AE domain. This research may shed some light on future possibilities that S-D logic could support the co-creation of value between consumers and agribusiness managers, and other broader disciplines such as management and marketing.Peer reviewe

Drivers of Attitudes toward Online Purchase Intention Among Residents of Taiyuan in China

Purpose: This study aims to investigate the influencing factors of consumers’ attitudes towards online shopping and purchase intention in Taiyuan, Shanxi Province. The conceptual framework proposes the causal relationship between trust, subjective norm, perceived risk, perceived behavioral control, attitudes, and purchase intention. Research design, data, and methodology: The researchers used a quantitative method (n=500) to send questionnaires to consumers about the online shopping experience in Taiyuan, Shanxi Province. A nonprobability sampling includes judgment sampling, quota sampling, and convenient sampling. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were used for data analysis, including model fitting, reliability, and validity tests. Results: The results show that trust significantly affects online shopping attitude. Furthermore, perceived risk, perceived behavior control, and attitude have significant effects on purchase intention. The influence of subjective norms on shopping intention is not significant. Attitude has the greatest impact on shopping intention. Conclusion: It is suggested that the managers of online shopping platforms should maintain consumers’ good attitudes toward online shopping, improve the level of trust mechanism, and control risks. the research results will help strategic managers and marketers of online shopping platforms gain better experience and enlightenment in attracting consumers to enhance the development of the online shopping market

How Consumers\u27 Attitudes towards Alternative Food Network Affect Their Consumption Satisfaction - Empirical Evidence from Zhengzhou

With the continuous development of economic globalization and the increasingly diversified food culture of people, food hygiene and safety have become hot topics that have attracted much attention. The continuous occurrence of vicious food safety accidents has caused people to pay great attention to food safety. It is necessary to re-examine the issue that has risen to the height of national public safety, and it is necessary to increase the supervision of food safety. Based on 280 valid questionnaire data of alternative food network (AFN) in Zhengzhou, using structural equation model, this study investigates how consumers\u27 attitudes towards AFN affect their consumption satisfaction. The results show that: the attitude towards AFN has a direct positive impact on consumer satisfaction, and indirectly affects satisfaction by affecting the perceived quality of consumers, and has an indirect positive impact on satisfaction through influencing the participation of AFN activities. The policy implications are: implement participatory security system, learn from the commercialization of mainstream food network, pay more attention to the quality of products, pay more attention to the needs of consumers and establish a "food community"

Wissensstandsanalyse zum Verbraucher- und Ernährungsverhalten bei ökologischen Lebensmitteln mit Einbezug der Außer-Haus-Verpflegung

Die vorliegende Studie enthält einen umfassenden Überblick zur nationalen wie internationalen Verbraucherforschung für Öko-Lebensmittel. Insgesamt wurden 562 Publikationen basierend auf 338 wissenschaftlichen Studien aus dem Zeitraum Januar 2000 bis Juni 2011 zu den Themengebieten Determinanten des Verbraucherverhaltens, Verbrauchersegmentierung, Produkt-, Preis-, Kommunikations- und Distributionspolitik sowie Außer-Haus-Verzehr analysiert und hinsichtlich ihrer Datengrundlage und Methodik bewertet. Die Betrachtung der einschlägigen englisch- und deutschsprachigen Literatur lieferte Erkenntnisse zum Wissensstand über die Verbraucherforschung für Öko-Lebensmittel und ermöglichte die Identifizierung relevanter Forschungslücken für Deutschland, die richtungsweisend für die zukünftige Forschung ist. Insgesamt ergab sich eine hohe Publikationsdichte insbesondere in den letzten vier Jahren. Zu den zahlenmäßig am häufigsten behandelten Themengebieten gehören die Determinanten des Verbraucherverhaltens, die Produktpolitik sowie die Preispolitik. Dennoch sind auch hier viele gänzlich unbearbeitete Fragestellungen, bspw. zu den Geschmackspräferenzen unterschiedlicher Verbraucher-gruppen, zu umweltfreundlichen Verpackungen sowie zur Preiskenntnis und Preispsychologie des Konsumenten, zu finden. Darüber hinaus konnten innovative Aspekte der Trendforschung zum Thema Öko-Lebensmittel ausgemacht werden. Andere Themengebiete wie zum Beispiel Kommunikationspolitik und Außer-Haus-Verzehr sind bisher kaum untersucht. Die Status-Quo-Analyse wurde mit den Ergebnissen aus einer Online-Befragung und einem Experten-Workshop ergänzt, um die Relevanz der identifizierten Forschungslücken einzuschätzen und den Forschungsbedarf aus Praktiker- und Expertensicht zu ermitteln. Aus dieser umfassenden Analyse konnten konkret Empfehlungen für zukünftige Forschungsschwerpunkte in Deutschland abgeleitet werden

Agro-products Consumer Initial T rust Formation Mechanism In the Social Commerce Context

Since the online agro-products information is difficult to assess, it is critical for consumers to foster consumers’ initial trust in the social commerce (s-commerce) context. On the basis of the existing research, this paper first analyzes the connotation of agro-products communication based on s-commerce. Then, it combines the inherent characteristics of agro-products, and takes the consumer characteristics as the important moderating factors, and a two-stage integration theory model based on Elaboration Likelihood Model (ELM) and Expectation Confirmation Theory (ECT) is proposed to explore the antecedent factors and the forming process of the agro-products consumer initial trust in the s-commerce environment. Finally, the further research design is simply planned for the future