• Title/Summary/Keyword: Online business

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Development of an e-catalog system for integrated e-business (E-business 통합을 위한 e-catalog 시스템 개발)

  • 장민제;전용태;박세형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.97-100
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    • 2002
  • An e-catalog system provides whole product data and services by publishing newly updated information that connects PDM systems in an enterprise. With its capability to connect customers, suppliers, producers, distributors and downstream manufacturing activities, the e-catalog system can be applied to integrate e-business and provide immense business opportunities. In this paper we propose a framework focusing on constructing an efficient e-catalog system that can be used for online mass customization. The effectiveness of the proposed framework is validated with experimental results.

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A Study on the Business Characteristics, and Online/Offline Food Hygiene Education Comparative Analysis of Rice Cake Producer in Korea (한국 떡류 영업자의 영업 특성 및 온·오프라인 식품위생교육 비교 분석에 관한 연구)

  • Lee, Hyeong Kook;Kim, Ji Yeon
    • Journal of Food Hygiene and Safety
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    • v.30 no.4
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    • pp.343-349
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    • 2015
  • A study survey about the rice cake producers completing the food hygiene education in Korea was investigated by characteristics of the rice cake business. The difference between their online and offline awareness of food hygiene education were compared. The average age of rice cake producers is 50 (40.1%), with a high school education (52.6%), 10-20 years of service (34.3%) showed the highest percentage. In relation to sales and work area, workshop personnel are engaged in two (79.5%), An area of less than $99.17m^2$ (92.0%), rent (60.2%) with most paying a monthly rental amount of less than 1 million won (54.8%). There were 228 accident cases in three years (an annual average of 2.4%), manufacturing, Processing the item number was less than 20 types of analysis (86.7%). Case of food hygiene education graduates are women, the lower the age, the higher the education level, was preferred online. Online education was chosen because of 'time, economic, convenience'(73.7%). Online graduates have recognized that health education is more conducive to business. There was no significant difference between the sales online and offline graduates. For hygienic management response was that online graduates are well above the 7.4% offline graduates. Online and offline graduates 60.7% appeared to be more satisfied than the previous training institutions.

Role of Online Social Decision When Purchasing NP : The Moderating Effect of NP Innovation (신제품 구매시 온라인 사회적 결정 역할 : 신제품 혁신성 조절효과)

  • Han, Sang-Seol
    • Journal of Distribution Science
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    • v.16 no.7
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    • pp.57-65
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    • 2018
  • Purpose - Recently, internet access and social network utilization using smart phone are increasing. In such a smart environment, interactive activities such as information generation, information searching and information sending are increasing rapidly on-line environment. Therefore, consumers tend to purchase something according to eWOM and also meet the social consensus online environment. In connectivity society, consumers became accessible and engaged in the opinions of others easily. Many decisions that seem like personal decisions are actually social decisions on online connectivity. This paper seeks to explore factors that can help generate a social decision on purchasing of new products in an online environment. Research design, data, and methodology - The process of collecting a lot of wisdom and making an agreement online is called social decision. The purpose of this paper is to examine empirically the influence of factors such as online ties, online eWOM expectancy and online information behavior on online social decision. In addition, We studied online social decision by analyzing the moderating effect of new product innovation. To understand this structural relationship, research hypotheses and research models were set up and empirical analysis was conducted. In order to verify the hypothesis, 208 questionnaires were collected from the residents of Seoul city/Gyeonggi province. The answered questionnaire verifies reliability and validity using SPSS/AMOS and test hypotheses through path analysis and multiple regression analysis. Results - According to the research results, First, online ties don't have a positive impact on online social decision, Second, online eWOM expectancy have a positive impact on online social decision. Third, online information behaviors have a positive impact on online social decision. The degree of innovation of new products have a moderating effect between Independent variables of three factors and dependent variable of social decision. Conclusions - Social decisions have a positive impact on purchasing decisions about new product. There is a great significance in the fact that the online social influence and online social decision have been studied academically. It is meaningful that we have studied in depth the changing phenomenon of consumer purchase decision process in smart environment. The results of these studies provide academic and practical implications.

Purchase Prediction by Analyzing Users' Online Behaviors Using Machine Learning and Information Theory Approaches

  • Kim, Minsung;Im, Il;Han, Sangman
    • Asia pacific journal of information systems
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    • v.26 no.1
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    • pp.66-79
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    • 2016
  • The availability of detailed data on customers' online behaviors and advances in big data analysis techniques enable us to predict consumer behaviors. In the past, researchers have built purchase prediction models by analyzing clickstream data; however, these clickstream-based prediction models have had several limitations. In this study, we propose a new method for purchase prediction that combines information theory with machine learning techniques. Clickstreams from 5,000 panel members and data on their purchases of electronics, fashion, and cosmetics products were analyzed. Clickstreams were summarized using the 'entropy' concept from information theory, while 'random forests' method was applied to build prediction models. The results show that prediction accuracy of this new method ranges from 0.56 to 0.83, which is a significant improvement over values for clickstream-based prediction models presented in the past. The results indicate further that consumers' information search behaviors differ significantly across product categories.

Case Study on the "Clicks and Mortar" Strategies of the Three Major Department Stores in Korea (백화점 3사의 온-오프라인 통합전략 사례 연구)

  • 최인혁;이영렬
    • Journal of Distribution Research
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    • v.9 no.1
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    • pp.1-24
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    • 2004
  • As the dot-com companies realize the importance of the traditional business operations such as product distribution and sourcing, the task of balancing business strategy and operations between electronic commerce and"bricks St mortar"channels is an ongoing challenge. However, there are no generic recipes for formulating business strategy that optimally bridges the physical and virtual operations. In order to provide some guidelines, this study examines the big 3 retailers in Korea, and their"clicks & mortar"strategy, assessing how the activities of each channel are integrated to achieve the synergy effect. This study analyzes the differences in the pattern of integration among the three retailers and traces the causes of those differences. It also figures out the relationship between the degree of integration and performance variables such as growth and cost. Finally. it defines the essential constraints on the process of integration along with managerial implications.

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Why Do Customers Purchase from a Website? Activity-based Web Presence Readiness Model

  • Kang, Kyungwoo;Kim, Yong Jin;Shin, Seung Kyoon
    • Asia pacific journal of information systems
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    • v.23 no.4
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    • pp.85-102
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    • 2013
  • This study proposes a web presence readiness model based on pre-payment service functions and a post-payment service function both of which embrace the major concerns of customers in the online purchasing context. Based on the concept of customer utility from the product itself and instrumental utility, the research model suggests four antecedents including, Perceived Economic Benefits, Product Search Support Quality, e-Shopping Method Diversity, and Post-Payment Support Quality. We empirically examined a proposed research model using data collected from online rating company websites. Among the four antecedents, post payment support quality is found to be the most influential determinant of customer evaluation on e-commerce websites. Based on the empirical results, the current study proposes an alternate model of web presence readiness. The findings of this study may provide an insight to field practitioners designing commercial websites. The implications and future research directions are further discussed.

Exploring the Structural Relationship among Beauty Influencers' Attractiveness and Homophily, Emotional Attachment, and Live Commerce Stickiness

  • Madina, Suleimen;Kim, Hyeon-Cheol
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.149-157
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    • 2021
  • This study aims to understand how an influencer's social and physical attractiveness, background and value homophily influences consumer's emotional attachment, which in turn causes user stickiness with regards the influencer's live commerce. We tested all proposed hypotheses among users of the online shopping platform "TaoBao". Ultimately, 297 questionnaires were collected by means of an online survey. The results revealed that social and physical attractiveness positively influence emotional attachment. Meanwhile only value homophily significantly affected emotional attachment, whereas background homophily did not significantly affect emotional attachment. Additionally, emotional attachment was found to significantly influence live commerce stickiness. We also investigated the moderation effect of perceived beauty trends of products sold on live commerce, where the results indicated that high beauty tends to have a higher effect on live commerce stickiness behavior. Lastly, theoretical and managerial implications have been offered.

AraProdMatch: A Machine Learning Approach for Product Matching in E-Commerce

  • Alabdullatif, Aisha;Aloud, Monira
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.214-222
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    • 2021
  • Recently, the growth of e-commerce in Saudi Arabia has been exponential, bringing new remarkable challenges. A naive approach for product matching and categorization is needed to help consumers choose the right store to purchase a product. This paper presents a machine learning approach for product matching that combines deep learning techniques with standard artificial neural networks (ANNs). Existing methods focused on product matching, whereas our model compares products based on unstructured descriptions. We evaluated our electronics dataset model from three business-to-consumer (B2C) online stores by putting the match products collectively in one dataset. The performance evaluation based on k-mean classifier prediction from three real-world online stores demonstrates that the proposed algorithm outperforms the benchmarked approach by 80% on average F1-measure.

Testing the Mediating Role of Perceived Risk of COVID-19 and the Moderating Role of Age in the Relationship between COVID-19 related Information Sensitivity and Personal Preventive Behaviors

  • Hong, Kyung-Wan;Kim, Hyeon-Cheol
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.1-9
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    • 2022
  • The influence of information sensitivity during the COVID-19 pandemic on perceived risk and personal preventive behaviors of consumers in China had been investigated. The participants were Chinese individuals experiencing the pandemic as it happened. Participants voluntarily completed an online questionnaire to provide their COVID-19 information sensitivity, their perceived COVID-19 risk, preventive behavior and their respective age. Our study discovered that COVID-19 information sensitivity positively influence perceived risk and preventive behavior. Moreover, young individuals show higher levels of online information sensitivity, which influenced their personal protective behavior when compared to that of middle-aged and elderly participants. Furthermore, Perceived risk significantly affected preventive behaviors. The results of this study may assist the government and marketeers in comprehending information sensitivity which can affect consumers' protective behavior toward reducing COVID-19 infections.

An Integrated Model for Investigating the Impacts of Telepresence on Cultural Heritage Attachment in Virtual Museum

  • Hong, Kyung-Wan;Kim, Hyeon-Cheol
    • International journal of advanced smart convergence
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    • v.11 no.2
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    • pp.44-52
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    • 2022
  • The purpose of our study is to examine the influence of telepresence on cultural heritage attachment in the context of virtual museum. We determined the effect of telepresence on visitors' aesthetic and educational experiences and how these experiences affect visitors' perceptions of virtual museum service value. Moreover, we investigate the effect of perceived virtual museum service value on museum attachment and cultural heritage attachment. A total of 143 visitors were sampled through an online survey focusing on Chinese virtual museum visitors. The results show that all the paths presented significant effects. Additionally, it was found that telepresence indirectly influences cultural heritage attachment through education experience and perceived virtual museum value. The theoretical and practical implications are also provided. An important implication is that online virtual museum is essential to raise visitors' education experience and their cultural heritage attachment. Thus, virtual museum should take initiative to enhance virtual reality to ensure traditional culture education and formation their cultural heritage attachment.