• Journal of Korea Society of Digital Industry and Information Management
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• 제14권2호
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• pp.107-115
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• 2018

US Retailers consider two major holiday shopping days as their most profitable-the Friday after Thanksgiving, Black Friday, and the Monday after Thanksgiving, CyberMonday. Online shopping discount events have boosted up the shopping markets resulting in pumping up National economy. For such reasons, Korea also has launched online shopping discount event, which is called 'Cyber hot days'. The primary purpose of this paper is to understand consumer behavior on Cyber hot days and suggest how retailers can harness those consumer behaviors and how government agency can support both retailers and consumers to boost up shopping markets. The results of empirical test shows that economic value, emotional value, and product variety were found to be significantly related to consumers' attitude on Cyber hot days, but convenience value, social value, and product uniqueness were not. Consumers' attitude was also found to be significantly related to the repurchase intention. It implicates that price, enjoyment, and product variety are important aspects to Korean consumers when they purchase during online shopping discount event.

• Science of Emotion and Sensibility
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• 제17권4호
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• pp.19-28
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• 2014

The number of people using on-line shopping has rapidly increased over time. In particular, open-market is the most potential on-line market. Since there are too many products in open-market, customers have serious troubles finding products they want. Thus, interface should be improved so that open-market is able to offer products they want effectively. This study analyzed web interface based on main web pages of four major open-market companies in Korea, and performed satisfaction evaluation according to the analyzed factors. As a result, it reveals that what kind of factors the customers prefer and there is a causal relation between the most satisfactory open-market and the preferred factors of the customers.

• International Commerce and Information Review
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• 제18권3호
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• pp.23-43
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• 2016

Many customers of individual countries are interested in overseas direct purchase. B2C is not limited in a domestic market anymore. There are giant online shopping sites such as Amazon and eBay around the world. Many local and overseas customers can access and purchase products via B2C sites. Market size of overseas direct purchase has been dramatically increased. Overseas direct purchase can be closely associated with trade or international commerce due to the massive increase. This study aims at gaining a better understanding of overseas direct purchase in the country-level not customer-level. Specifically, this study examines relationships between overseas direct purchase and customer determinants including openness, innovativeness, and strategic confirmity to normative institution. Also, moderating effect with external environments such as logistics infrastructure and market uncertainty. Relying on RBV, TCA, Institutional theory, and OSAM model, this study justifies how internal and external determinants can increase or decrease consumer awareness on overseas direct purchase.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• 제11권5호
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• pp.113-130
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• 2011

Due to the development of information and communication technology, the global influence on politics, economics, society, and culture has grown. A major example of this impact on the economic sector is the growth of e-commerce, which increases both the speed and efficiency of businesses. In light of these new developments, businesses need to shift away from the misconception that information overwhelms to embrace the enhanced competitiveness that e-commerce provides. However, concern about fraudulent transactions through e-commerce is pertinent because of the loss in both critical revenue and consumer confidence in open markets. Current solutions for fraudulent transactions include real-time monitoring and processing, payment pending, and confirmation through SMS, E-mail, and other wired means. Our research focuses on the management of Fraud Detection Systems (FDS) to safeguard online electronic payment systems. With effective implementation of our research we hope to foster an honorable online trading culture and protect consumers. Future comparative research in domestic and abroad markets would provide further insight into preventing fraudulent transactions.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제20권12호
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• pp.287-297
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• 2019

Responding to the rapid delivery demands and variety of small-volume products through human resource-dependent logistics operations in online markets is difficult. Logistics robots in fulfillment centers are expected to increase due to difficulties in hiring workers and rising labor costs. Amazon operates more than 100,000 robots in its Fulfillment centers. Alibaba, DHL, and UPS are also introducing robot technology to improve the logistics efficiency. Logistics robots are being used actively in the fierce online market competition of the global distribution industry. On the other hand, Korea is relatively sluggish. To revitalize the introduction of logistics robots in Korea, it is necessary to examine the factors that influence acceptance. The description of acceptability was based on an expanded technology acceptance model that has been verified through various studies. Studies have shown that both the ease and usefulness of purchasing have significant effects, and that ease has the greatest effect. The more experience involved, the more innovative, the more positive. The usefulness was shown to be positive as the perceived risks are low, price efficiency is good, and social impact is greater. This study provides theoretical and practical implications for logistics robot development and marketing.

• Information Systems Review
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• 제25권4호
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• pp.233-248
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• 2023

The increasing integration of intelligent information technologies within organizational systems has amplified the risk to personal information security. This escalation, in turn, has fueled growing apprehension about an organization's capabilities in safeguarding user data. While Internet users adopt a multifaceted approach in assessing a company's information security, existing research on the multiple dimensions of information security is decidedly sparse. Moreover, there is a conspicuous gap in investigations exploring whether users' evaluations of organizational information security differ across industry types. With an aim to bridge these gaps, our study strives to identify which information security attributes users perceive as most critical and to delve deeper into potential variations in these attributes across different industry sectors. To this end, we conducted a structured survey involving 498 users and utilized the analytic hierarchy process (AHP) to determine the relative significance of various information security attributes. Our results indicate that users place the greatest importance on the technological dimension of information security, followed closely by transparency. In the technological arena, banks and domestic portal providers earned high ratings, while for transparency, banks and governmental agencies stood out. Contrarily, social media providers received the lowest evaluations in both domains. By introducing a multidimensional model of information security attributes and highlighting the relative importance of each in the realm of information security research, this study provides a significant theoretical contribution. Moreover, the practical implications are noteworthy: our findings serve as a foundational resource for Internet service companies to discern the security attributes that demand their attention, thereby facilitating an enhancement of their information security measures.

• Journal of Digital Convergence
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• 제11권3호
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• pp.209-219
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• 2013

Smart phone environment have an effect on consumer life style, as well as advances in technology. In this paradigm shift on digital convergence make change to commodities, services, and distribution channels for consumers. HomePlus wholesale that is representative distribution company in Korea launched the new distribution channel model that combined off-line store with online store and mobile shopping system called 'smart mobile virtual store'. That is highly praised by abroad media and festivals. This study is an exploratory study on consumer-centric smart mobile virtual store of HomePlus. There are value and chance for developing the new digital distribution model, in this study, because the case study and evaluation of consumers is important in this momentous time.

• Journal of Intelligence and Information Systems
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• 제16권2호
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• pp.1-17
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• 2010

Association rules among product items by association analysis suggest sales effect among products. These are useful for marketing strategies such as cross-selling and product display etc. However, if we evaluate more practical product values reflecting cross-selling effects, they will be also more useful for the decisions of companies such as product item selection for product assortment and profit maximization etc. This study proposes product value evaluation models with the concept of effective value based on single-item association chain and itemset association chain. In addition to that, we performed experiments with transaction data related to clothing of an online shopping mall in Korea to show the performances of our models. In result, we confirmed that some items increased in effective values compared with their pure values while the others decreased in effective values.

• Journal of Intelligence and Information Systems
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• 제11권2호
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• pp.175-195
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• 2005

사례기반추론(case-based reasoning)은 사례간 유사도를 평가하여 유사한 이웃사례를 찾아내고, 이웃사례의 결과를 이용하여 새로운 사례에 대한 예측결과를 생성하는 전통적인 인공지능기법 중 하나다. 이러한 사례기반추론이 최근 적용이 쉽고 간단하다는 장점과 모형의 갱신이 실시간으로 이루어진다는 점 등으로 인해, 온라인 환경에서의 고객관계관리를 위한 도구로 학계와 실무에서 주목을 받고 있다 하지만, 전통적인 사례기반추론의 경우, 타 인공지능기법에 비해 정확도가 상대적으로 크게 떨어진다는 점이 종종 문제점으로 제기되어 왔다. 이에, 본 연구에서는 사례기반추론의 성과를 획기적으로 개선하기 위한 방법으로 유전자 알고리즘을 활용한 사례기반추론의 동시 최적화 모형을 제안하고자 한다. 본 연구가 제안하는 모형에서는 기존 연구에서 사례기반추론의 성과에 중대한 영향을 미치는 요소들로 제시된 바 있는 사례 특징변수의 상대적 가중치 선정(feature weighting)과 참조사례 선정(instance selection)을 유전자 알고리즘을 이용해 최적화함으로서, 사례간 유사도를 보다 정밀하게 도출하는 동시에 추론의 결과를 왜곡할 수 있는 오류사례의 영향을 최소화하고자 하였다. 제안모형의 유용성을 검증하기 위해, 본 연구에서는 국내 한 전문 인터넷 쇼핑몰의 구매예측모형 구축사례에 제안모형을 적용하여 그 성과를 살펴보았다. 그 결과, 제안모형이 지금까지 기존 연구에서 제안된 다른 사례기반추론 개선모형들은 물론, 로지스틱 회귀분석(LOGIT), 다중판별분석(MDA), 인공신경망(ANN), SVM 등 다른 인공지능 기법들에 비해서도 상대적으로 우수한 성과를 도출할 수 있음을 확인할 수 있었다.

• Journal of Intelligence and Information Systems
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• 제7권2호
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• pp.153-177
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• 2001

Nowadays, product recommendation is one of the important issues regarding both CRM and Internet shopping mall. Generally, a recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly and thereby automatic recommendation methodologies have got great attentions. But the researches and commercial tools for product recommendation so far, still have many aspects that merit further considerations. To supplement those aspects, we devise a recommendation methodology by which we can get further recommendation effectiveness when applied to Internet shopping mall. The suggested methodology is based on web log information, product taxonomy, association rule mining, and decision tree learning. To implement this we also design and intelligent Internet shopping mall support system based on agent technology and develop it as a prototype system. We applied this methodology and the prototype system to a leading Korean Internet shopping mall and provide some experimental results. Through the experiment, we found that the suggested methodology can perform recommendation tasks both effectively and efficiently in real world problems. Its systematic validity issues are also discussed.