• 산경연구논집
• /
• 제12권2호
• /
• pp.19-27
• /
• 2021

Purpose: This study investigated the impact of key factors such as service quality, perceived benefit and brand familiarity on a consumer's intention to order online food delivery (OFD). In addition, mediating effect of electronic word of mouth (e-WOM) between relationships among selected key variables and OFD purchase intention is also assessed. Research design, data and methodology: This explanatory, quantitative study employed convenience sampling and collected data through online structured questionnaire from 304 respondents who are users of OFD apps based in greater Klang valley region of Malaysia. The data was then subjected to normality and reliability assessment followed by confirmatory factor analysis, validity assessment and structural equation modelling using IBM SPSS AMOS 24.0. Results: Findings revealed that service quality, perceived benefits and brand familiarity affects purchase intention positively and significantly. Perceived benefits demonstrated highest impact on purchase intention followed by brand familiarity and service quality. Findings also suggest that e-WOM fully mediates relationship between brand familiarity and purchase intention, however, the same was not observed for remaining two variables. Conclusions: The study has enriched OFD literature by investigating impact of selected key factors on purchase intention in the context of OFD. Implications, limitations and future research avenues are then discussed.

• 유통과학연구
• /
• 제21권6호
• /
• pp.21-29
• /
• 2023

Purpose: Research on equity carve-outs is necessary because the market has realized that they lead to holding company discounts by double counting, which can only be observed in the Korean market. Considering the differences in the SSG.com equity carve-out compared to previous cases in terms of business strategy, this study contributes to the literature by examining the effects on shareholder value in the Korean distribution industry. Research design, data, and methodology: This study investigated literature, analyst reports, and news articles to examine the causes of holding company discounts and analyze the SSG.com equity carve-out. Results: The monopoly of holding companies' listing premiums is the main cause underlying holding company discounts from equity carve-outs. Protections for minority shareholder value are challenging owing to the complexity of the process of acquiring rights, the short exercise period, and additional costs. Therefore, the motivation for equity carve-outs should be to increase overall shareholder value. Conclusion: By analyzing the reasons for holding company discounts in the Korean distribution industry, this study provides recommendations for improving shareholder value. Moreover, it contributes to the maturation of the Korean capital market by promoting a discussion on the revision of equity carve-outs.

• 한국전자거래학회:학술대회논문집
• /
• 한국전자거래학회 2003년도 종합학술대회 논문집
• /
• pp.115-120
• /
• 2003

비즈니스 시스템에서 비즈니스 협업을 수행하기 위해서는 비즈니스 시나리오의 절차를 정의하는 비즈니스 프로세스 스펙이 필요한데, 이 스펙은 비즈니스 프로세스 모델로부터 생성된다. XML 기반의 B2B 표준 프레임워크인 ebXML에서는 비즈니스 프로세스 모델링을 위해 UN/CEFACT 모델링 방법론 제공한다. 이 방법론에 따라 모델링을 수행하면 UML 다이어그램과 워크시트가 산출물로 얻어지고, 이 산출물들은 ebXML 비즈니스 프로세스 스펙과 다른 비즈니스 모델로 변환될 수 있다. 산출물들과 변환의 결과물들은 ebXML 시스템에서 공유되고 다른 모델링 툴에서 재사용되기 위해서 비즈니스 라이브러리에 등록된다 본 논문에서는 ebXML에서 제안된 시스템 구조를 따르며 필요한 모델링 기능을 고려하고 레지스터리 클라이언트를 내장한 ebXML 비즈니스 프로세스 모델러를 구현하였다.

• Journal of Korea Trade
• /
• 제24권5호
• /
• pp.87-105
• /
• 2020

Purpose - The purpose of the study is to propose a theoretical framework of cross-border e-commerce ecosystems based on blockchain technology. The ecosystem includes five systems, namely, crossborder supply chain intelligent system, cross-border logistics system, cross-border payment system, cross-border product quality traceability system and cross-border customs supervision system. Design/methodology - This study firstly derived the main improvement factors for the new ecosystem based on blockchain through prior research and expert interviews on cross-border e-commerce. Then explored the use of virtue of decentralization, anti-counterfeiting traceability, consensus mechanism, smart contract and other means of the core technology of blockchain to overcome the bottleneck of cross-border e-commerce development among Korea, China, and Japan. Finally, proposed valuable implications in both theoretical and practical perspectives. Findings - As a result, we combined with the problems existing in cross-border e-commerce among Korea, China and Japan, this paper proposes a solution based on blockchain. On this basis, it constructs a cross-border e-commerce ecosystem among these three countries, including five systems. In addition, we discuss the main problems existing in the current blockchain, such as low transaction concurrency, security loopholes, and inconsistent standards, the corresponding countermeasures are proposed from the technical level, security level and industry standards. Originality/value - This study is the first to apply the blockchain technology to solve the cross-border e-commerce problems in Korea, China and Japan, which is of pioneering significance in both literature and practice. Block chain technology is in the ascendency. This study provides technical solutions for promoting the development of cross-border e-commerce import and export trade between Korea, China and Japan.

• Journal of Information Technology Applications and Management
• /
• 제15권4호
• /
• pp.61-76
• /
• 2008

As XBRL applications for sharing the contents and semantics of business reports get activated, it is increasingly necessary to reuse components systematically by the standardization in the national level. The current standardization of Korean electronic documents follows the "Guideline for XML Documents Development", which aims to maximize the reusability of components by providing a business library as well as the UN/CEFACT core components methodology. XBRL takes the same approach with the standardization of electronic documents in that their components (concepts and their structures) are defined using XSD. In XBRL, however, concept are restricted to specific types and diverse relationship types can be defined for associating the concepts to themselves and other additional information. As a result, there are some issues that may not be solved by just applying the guideline to XBRL. This paper presents a basic method for applying the methodology to XBRL applications in order to realize the systematic reusing and standardization of XBRL documents in the national level. For case analysis, FSS (Financial Supervisory Service) income statement is employed to demonstrate the possibility of the method.

• 정보학연구
• /
• 제7권3호
• /
• pp.127-137
• /
• 2004

본 연구에서는 프로젝트의 계획단계에서 프로젝트 관리자가 수행해야 할 프로젝트에 대하여 규모, 범위, 기간, 성격 등의 측면에서 가장 유사한 과거의 사례를 찾아주고 이를 참조하여 WBS를 설계할 수 있도록 규칙과 사례기반 추론에 근거한 프로젝트 계획수립 지원모듈(PPSM: Project Planning Support Module)개발 방법을 제안한다.

• 한국전자거래학회지
• /
• 제6권3호
• /
• pp.209-225
• /
• 2001

This paper Proposes the individual roles for developing small web application systems based on the Client/Server architecture with the activities and artifacts of each role and cooperation. The roles of Web Server part (i.e. User Interface Designer, Web Designer, HTML Writer), the roles of Application Server part (i.e. Domain Expert, Application Developer, Tester) and the roles of DB Server part (i.e. Database Administrator, Data Designer) are described. Furthermore, the role of the Development Leader that participates in development and manages all works in project and finds the solutions of problems in project, is also discussed. The Domain Expert analyzes the domain of the application in order to send the artifacts to the Application Developer. Then the Application Developer analyzes, designs and implements the application based on the artifacts of the Domain Expert and integrates the implemented program modules. Roles are related each other in this way, and cooperate until the application development is completed. Finally, we analyzed and compared these roles with the roles of RUP(Rational Unified process) and web wave. Suggested roles in this paper turned out to be efficient compared to the roles of the existing large-scale methodology.

• 유통과학연구
• /
• 제22권1호
• /
• pp.79-94
• /
• 2024

Purpose: The popularity of social media has altered how customers interact with businesses, and an increasing number of customers prefer to voice their complaints on social media. Bystanders can observe the customer complaint process on social media, but the impact of transparency on bystanders remains uncertain. Therefore, this study established and verified a model for defining the effect of transparency and service recovery types on bystanders. Research Design and Methodology: In this study, we used the internet survey platform "So Jump" to collect data. And we validated three studies with SPSS 26.0 and Smart PLS 4.0. Result: First, we showed that the transparency process (vs. result) is more likely to increase customer forgiveness and E-loyalty and reduce E-NWOM intention among bystanders. Second, customer forgiveness also plays a complementary mediating role between transparency and E-loyalty, as well as between transparency and E-NWOM intention. Finally, we found a modest interaction effect between transparency (process vs. result) and service recovery types (psychological vs. tangible vs. hybrid) on bystanders' customer forgiveness and E-loyalty. Conclusions: This study provides actionable recommendations for how service managers can effectively employ social media as a means for distributing feedback information to manage service recovery in the future.

• 패션비즈니스
• /
• 제27권3호
• /
• pp.50-62
• /
• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• 유통과학연구
• /
• 제18권9호
• /
• pp.31-43
• /
• 2020

Purpose: This study examined a comprehensive model for assessing the success probability of electric vehicle (EV) commercialization in the Korean market. The study identified three risks associated with successful commercialization which were technology, social, policy, environmental, and consumer risk. Research design, methodology: The assessment of the riskiness was represented by a Bayes belief network, where the probability of success at each stage is conditioned on the outcome of the preceding stage. Probability of success in each stage is either dependent on input (i.e., investment) or external factors (i.e., air quality). Initial input stages were defined as the levels of investment in product R&D, battery technology, production facilities and battery charging facilities. Results: Reasonable levels of investment were obtained by expert opinion from industry experts. Also, a survey was carried out with 78 experts consisting of automaker engineers, managers working at EV parts manufacturers, and automobile industry researchers in government think tanks to obtain the conditional probability distributions. Conclusion: The output of the model was the likelihood of success - expressed as the probability of market acceptance - that depended on the various input values. A model is a useful tool for understanding the EV industry as a whole and explaining the likely ramifications of different investment levels.