Independent station: A New Model of Cross-border E-commerce

Currently most cross-border e-commerce sellers are engaged in cross-border e-commerce through mainstream third-party platforms. But increasingly fierce homogenization competition on third-party platforms, sharp decline of traffic dividends, constantly iterative rules and changing policies, compressed profit margins all make it more and more difficult for the sellers to secure a place in marketplace. As a result, many sellers have begun to look for new growth models and independent station is one of them. This paper introduces the overall development of China’s cross-border e-commerce and background of the rise of independent station and its overall development over the last a few years. The paper explains how independent station works by making a contrast with third-party platforms, and exemplifies causes of the rise of independent station from several aspects through elaborating its benefits over that of third-party platforms and reasons why cross-border e-commerce sellers are turning to independent station. Based on the general introduction of the fundamental basics of independent station, the papers mainly elaborate the currently popular independent station operation models by explaining their characteristics, comparing their advantages and disadvantages of each of the models as well as giving examples of representative independent station companies. Since independent station is relatively a new mode of cross-border e-commerce and its development is immature thus the paper discusses some problems of independent station for the purpose of offering inspiration and enlightenment for cross-border e-commerce independent station sellers

An empirical study on factors affecting purchase intention of cross-border ecommerce consumer in post-pandemic era

The outbreak of COVID-19 promoted the further development of the Cross-border E-commerce (CBEC) industry worldwide. Due to lockdown and home quarantine policies, many countries across the globe followed the complete closure of shopping malls, transport networks, schools, universities, etc. This study aims to investigate factors that influence purchase intention of consumers in CBEC in post-pandemic era. Stimulus-Organism-Response (SOR) model, along with Howard-Sheth Model of consumer behavior and Technology Acceptance Model (TAM) has been employed to develop a structural model for the research. An empirical study including 322 copies of questionnaire were collected and were analyzed by SPSSAU. It has been found that input stimuli such as significant stimuli, symbol stimuli, social stimuli affect personal perception, while personal perception such as perceived risk, perceived usefulness and perceived ease of use affect purchase intention negatively or positively. Based on the study, suggestions were put forward for CBEC platform for further development

An empirical research on the influencing factors of consumers’ intention to use “onehour e-commerce”: Taking JD Daojia as an example

The era of One-hour E-commerce has arrived, which is of positive significance to meet consumers\u27 needs and enhance their shopping experience. This paper constructs a structural model of the factors influencing consumers\u27 willingness to use Onehour E-commerce by using a Technology Acceptance Model with two additional factors: subjective norm and perceived risk. The model was validated through 347 valid questionnaires and analysis. The results showed that perceived usefulness, perceived ease of use and subjective norm positively affects consumers\u27 willingness to use One-hour E-commerce ; perceived ease of use positively affects consumers\u27 perceived usefulness; perceived risk does not negatively affect consumers\u27 willingness to use One-hour E-commerce . Based on the above findings, the following recommendations are made: accelerate integration improve the ecosystem; optimize the platform to enhance ease of use; improve delivery to strengthen user satisfaction; improve image to enhance customer service efficiency; focus on quality to improve risk awareness

Exploring the Factors Affecting Consumers’ Online Agricultural Products Purchase Behavior Based on the UTAUT Model

The online agricultural products purchase has become a trend of consuming, but it is influenced by many factors. Based on the UTAUT (unified theory of acceptance and use of technology) model, some of the factors which include performance expectancy, effort expectancy, social influence, perceived risk, facilitating conditions, consumer innovativeness and purchase intention are chosen to build a research framework, and several hypotheses are proposed. Finally, a survey is conducted by questionnaires, and 264 valid samples are obtained. The research model is verified by using AMOS, and a modified model is built. Meanwhile, group testing is carried out to verify the correctness of each sub hypothesis. The empirical results show as follows: effort expectancy has a significantly positive effect on consumers\u27 online agricultural product purchase intension. Performance expectancy, facilitating conditions and purchase intention have a significantly positive effect on consumers\u27 online agricultural products purchase behavior. The effect of social influence and perceived risk on the consumers’ online agricultural product purchase intension is not significant. Some suggestions are put forward for the agricultural product online stores to meet the needs of the consumers and to improve the online agricultural products trade according to the empirical results

Study on Social Network for College Students\u27 Job Hunting

SNSs recruitment has caused the change of the traditional recruitment mode due to its advantages such as broad audience, quick information transmission, low recruitment cost and good interpersonal interaction. Through questionnaire survey, the paper implements on a study on the situation that the college students use social networks to find jobs. It is found that social network platforms are popular with college students, but it is not widely used in social job hunting platforms. What is more, the job hunting effect is not obvious. Meanwhile, the user information is prone to leakage, and the job hunting information provided is in poor quality. The paper proposes that the social network job hunting platforms should take measures to perfect the service content, strengthen the technical level and improve the information security for the college students. Additionally, the college students should also make reasonable choices and correctly utilize the social recruitment platform to protect the personal information security and improve the job hunting efficiency

Analysis on the Business Model of Fresh E-commerce------Taking Hema Supermarket as an Example

Enterprises are beginning to involve the fresh produce industry, but most companies have withdrawn from the fresh produce industry due to poor performance. This shows that there are many problems with e-commerce of fresh produce. In particular, the business model of e-commerce for fresh produce is a major factor constraining its development. This article takes Hema Supermarket as an example to analyze its business model. It summarizes the areas that can be used for product control, power distribution system construction, platform operation, etc., and provides reference and reference for the operation of fresh agricultural products