• The Research Journal of the Costume Culture
• /
• v.20 no.6
• /
• pp.937-941
• /
• 2012

Based on the literature on customer's repeat purchase intention, customer's repeat purchase intention was explored, customer's repeat purchase intention has been a crucial factor influencing consumer behaviors, In this research, the development of models on repeat purchase intention repurchase was indicated. Based on the electronic commerce platform, we focus on the customer's repeat purchase intention on silk products, This paper mainly explores the e-commerce purchase frequency (EPF), customer perceived value (CPV), perceived risk of e-commerce (EPR), and customer satisfaction (CS). The influence of the four factors on repeat purchase intention (RPI) is investigated. In the results, we found that CPV and CS have positive correlations with repeat purchase intention, The EPR has a negative correlation with RPI and has no significant influence on RPI. The result can provide meaningful suggestions for silk product retailers.

• Journal of the Korean Society of Costume
• /
• v.54 no.5
• /
• pp.71-81
• /
• 2004

The purpose of this study was to investigate the customer service factors and evaluation of consumer satisfaction on the purchase through the C2C E- commerce, focusing on the fashion goods. 190 college students who have purchased products via C2C E-commerce were surveyed. For data analysis, descriptive statistics, 1-test, Pearson＇s correlations, and multiple regression were used. As the results, 50.5% of respondents have purchased fashion products through C2C. Out of 4 C2C characteristics factors. there was statistically the significant difference in only ＇entertainment factor＇ between males and females. All five SERVQUAL＇s factors used for measuring service factors in this study were correlated to customer satisfactions scores. Also. results of multiple regression revealed that assurance, empathy, and reliability were significantly to related to customer satisfaction. Based on these results, fashion marketing strategy for C2C development would be suggested.

• The Journal of Industrial Distribution & Business
• /
• v.10 no.10
• /
• pp.35-44
• /
• 2019

Purpose - This study focuses on the continuance intention of O2O fresh agricultural products e-commerce. By literature review, this paper looks through the classical theories which are often applied to study use behavior and continuance intention on the electronic commerce area. Ultimately based on the expectancy theory, Technology acceptance model, success model as well as trust model, a model of the continuance intention of fresh products O2O electronic commerce application is established. Research design, data, and methodology - Among users Chinese consumers have been chosen who have use experience as the research objects. From October 2, 2018 to November 2, 2018, 685 questionnaires in total were collected by the online release and collection. Expect for the negative questionnaires, the remaining 650 pieces of data are statistically analyzed. The collected data were firstly be analyzed by SPSS Ver. 25 on its frequency, reliability and exploratory factors. Then AMOS Ver. 25 is applied to the Confirmatory Factor Analysis, Discriminant Validity and hypothesis testing of the Structural Equation Modeling. Finally, the following research conclusions could be obtained from the hypothesis testing. Results - Firstly, in the extended IS model, quality factor for hypothesis testing, service quality, information quality and delivery quality have obviously present positive influences on satisfaction respectively. Secondly, in the hypothesis testing part of ECM-ISC model and UTAUT model, all hypotheses have presented accepted results. Especially from expectation confirmation to usefulness perception, the influence factor achieves 12.603, In the hypothesis of continuance intention, the influence factor of social influence on continuance intention is 7.748 and also it is the most remarkable one. Conclusions - The results show that the service quality of O2O fresh agricultural products e-commerce has the greatest impact on satisfaction, while the perceived usefulness of consumers has the most significant impact on O2O fresh agricultural products for sustainable use intention. This thesis makes up for the blank of O2O fresh food e-commerce for sustainable use intentions, and provides a theoretical basis for consumers' sustainable use behavior, and practical enlightenment for the sustainable development of O2O fresh agricultural products e-commerce.

• Journal of Information Technology Applications and Management
• /
• v.27 no.4
• /
• pp.21-36
• /
• 2020

E-commerce represents the acquisition and sale, or the transmission of funds or data through an electronic platform. E-commerce is a paradigm shift that influences marketers and customers to improve current market processes. The significant challenges in e-commerce are the accuracy and performance factors during a business transaction, which has been substantially enhanced using Cloud Computing Techniques (CCT). The growth of e-commerce management has been increased due to massive internet penetration, and particularly small and emerging companies are increasingly using this alternative as a differentiated business model. E-commerce has significant environmental impacts and highly utilized in today's market scenario. Further, the replacement has not been thoroughly explored. Current research has been carried out to describe the e-commerce scenario to analyze market trends. This study further discusses the essential variables to the performance of market models for e-commerce. For example, e-procurement of products/services, electronic supply chain management, e-distribution and selling support (supplier connections, e-fulfilment) and online e-auctions (transactional) can represent important e-commerce capabilities, which can contribute to marketing strategy implementation effectiveness, resulting in higher export performance.

• The Journal of Economics, Marketing and Management
• /
• v.12 no.1
• /
• pp.1-15
• /
• 2024

Purpose: This study aims to explore the critical factors in the quality control activities of agricultural products in e-commerce companies and analyze how these factors affect customers' perceived value and repurchase intention. Finally, it further reveals the mediating role of perceived value between the factors of quality control activities of agricultural products and customer repurchase intention. Research design, data and methodology: This study identified six independent factors within agricultural product quality control activities: freshness, assurance, diversity, grading, packaging, and timeliness. Subsequently, the impact of these factors on customer repurchase intention was analyzed. Additionally, perceived value was considered as an intermediary variable between the independent and dependent variables. Data was gathered from 269 Chinese consumers who had experience purchasing on agricultural product e-commerce websites. Results: The study results indicate that the relevant factors within agricultural product quality control activities strongly influence customer repurchase intention, with perceived value mediating this relationship. Conclusions: The significance of this study lies in its exploration of the relevant factors within agricultural product e-commerce's product quality control activities. It identifies their impact on customer repurchase intention and confirms the mediating role of perceived value. The results of this research offer valuable insights and practical guidance for academics in related research fields and practitioners in the agricultural product e-commerce industry.

• Industrial Engineering and Management Systems
• /
• v.14 no.2
• /
• pp.111-121
• /
• 2015

A correct information of customer returns ratio under e-commerce is not always shared between supply chain (SC) members. Also, it is important issue for SC members to handle the unsold products in a market. This paper discusses the impact of information sharing of customer returns ratio on an optimal sales strategy including resale of customer returns and buyback policy for a SC under e-commerce with a manufacturer and a retailer. A retailer sells a single product and resells the resalable customer returns in the same market. A manufacturer produces the products and buys back the unsold products as to their quality from the retailer. The integrated SC (ISC) determines the optimal product order quantity to maximize the expected profit of the whole SC. The decentralized SC (DSC) makes the optimal decisions for order quantity and the wholesale price of products to maximize the expected profit of each SC member. The effect of information sharing is discussed between SC members under ISC and DSC. The analysis numerically investigates how information sharing of the returns ratio affects the optimal decision and the expected profits under ISC and DSC. Besides, effect of SC coordination to encourage the shift to ISC is discussed.

• Archives of design research
• /
• v.17 no.1
• /
• pp.109-118
• /
• 2004

With the remarkable progression of network and the sophistication of contents, we now see various ways of communication methods in World Wide Web. In such trend, 3D web deserves our attention, which is applied for various areas such as education, game, chatting, e-commerce. Among those, by using 3D contents, e-commerce, especially the customized e-commerce, can give users more rich information about products. However, most of current 3D e-commerce sites are adopting a mere tool-based methods without considering contents and interaction required for the customized e-commerce. So, this paper proposes the direction of developing 3D interaction program for the customized e-commerce, based on a study on the required information elements about products and the interaction of controlling those factors. The evaluation to compare with the existing program is follows by the development of practical program, to give more persuasive reasons on the advantages of 3D e-commerce program.

• The Korean Journal of Community Living Science
• /
• v.21 no.2
• /
• pp.259-270
• /
• 2010

The electronic commerce of agricultural products provides benefits both to the farmers and the consumers because of direct transaction between producers and consumers. This study analyses the factors affecting consumer's purchase intention that are using electronic commerce. And the purpose of this study is to contribute to increasing the farmer's income while operating electronic commerce by applying the results of this analysis. Consumer's purchasing factors in electronic commerce were obtained through literature reviews. The research model is established with the factors and analyses through the structural equation model. The results are as following; the first is how the quality of agricultural products affects positively consumer's satisfaction and trust. When sufficient information about the seller and the products are provided in the shopping mall site there are positive effects on the consumer's satisfaction and trust. The factors of convenience like purchasing time, saving, delivery convenience affect positively consumer's satisfaction. However, the relationship with trust enhancement could not be confirmed. In addition, hypotheses of positive relationships between economic feasibility factors like low price, satisfaction and trust, were rejected. Finally, consumer's satisfaction affects trust, and both the consumer's satisfaction and trust affects positively the purchase intention. In summary, in the electronic commerce of agricultural products, consumers might use electronic commerce as they purchase the reliable high quality products directly from farmers rather than be affected by economic feasibility and convenience factors.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.18 no.4
• /
• pp.1101-1121
• /
• 2024

Thorough understanding of user demands and formulation of product development strategies are crucial in product design, and can effectively stimulate consumer behavior. Scientific categorization and classification of demands contribute to accurate design development, design efficiency, and success rates. In recent years, e-commerce has become important consumption platforms for smart wearable products. However, there are few studies on product design and development among those related to promoting platform product services and sales. Meanwhile, design strategies focusing on real consumer needs are scarce among smart wearable product design studies. Therefore, an empirical consumer demand analysis method is proposed and design development strategies are formulated based on a categorized interpretation of demands. Using representative smart bracelets from wearable smart products as a case, this paper classifies consumer demands with three methods: big data semantic analysis, KANO model analysis, and satisfaction analysis. The results reveal that analysis methods proposed herein can effectively classify consumer demands and confirm that differences in consumer demand categories have varying impacts on consumer behavior. On this basis, corresponding design strategies are proposed based on four categories of consumer demands, aiming to make product design the leading factor and promote consumer behavior on e-commerce platforms. This research further enriches demand research on smart wearable products on e-commerce platforms, and optimizes products from a design perspective, thereby promoting consumption. In future research, different data analysis methods will be tried to compare and analyze changes in consumer demands and influencing factors, thus improving research on impact factors of product design in e-commerce.

• Journal of the Korean Dietetic Association
• /
• v.9 no.1
• /
• pp.40-46
• /
• 2003

Purchasing professionals utilize a e-commerce to sell or buy better products with good price. The marketers of agricultural products recognized that e-commerce has made significant inroads, and the Internet is fast becoming an essential tool for purchasing. The purpose of this research was to assess the realities of internet shopping malls of agricultural products including the actual condition of the sites, payment methods, order methods, membership and shipping methods. The results show that operating internet shopping mall of agricultural products are operated poorly in terms of buyer-seller relationship, payment and distribution. The results also provide some practical implication for marketers regarding the establishment of database, improvement of distribution and internet shopping mall operation, and importance of education on e-business for agricultural markets.