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The factors influencing consumers' perceived complexity of online apparel mass customization service usage

  • Moon, Heekang;Lee, Hyun-Hwa;Chang, Eunyoung
    • The Research Journal of the Costume Culture
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    • v.21 no.2
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    • pp.272-286
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    • 2013
  • Mass customization is a marketing strategy to meet consumer needs for variation and uniqueness of products. Although there are quite a few studies quantitatively investigated the options provided by mass customization process, scholarly work related to mass customization has provided mixed results on consumer perception of complexity and their responses. The purpose of the study is to derive the factors that influence consumer complexity perception in online apparel mass customization process and consumers' needs to enhance mass customization services. Data were collected by conducting focus group interviews of which 29 participations in 4 groups. The results of the study suggested that consumers perceived complexity through mass customization process due to too many choice options. However, the effect of number of options on respondents' complexity perception was different depending on consumer characteristics such as consumer expertise and fashion involvement, and the characteristics of consumer preference development. Shopping context such as shopping purpose is another moderating factor. This study also suggests that a variety of marketing strategies which can enhance mass customization services affect the relationship between the number of options and consumers' complexity perception. The findings of the study provide academic and managerial implications.

Product Recommendation Service in Online Mass Customization: Consumers' Cognitive and Affective Responses (의류상품의 온라인 대량고객화 제품추천 서비스에 대한 소비자의 감정적, 인지적 반응)

  • Moon, Heekang;Lee, Hyun-Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.11
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    • pp.1222-1236
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    • 2012
  • This study examined the effects of product recommendation services as an atmosphere for online mass customization shopping sites on consumers' cognitive and affective responses. We conducted a between-subject experimental study using a convenience sample of college students. A total of 196 participants provided usable responses for structural equation modeling analysis. The findings of the study support the S-O-R model for a product recommendation system as an element of the shopping environment with an influence on OMC product evaluations and arousal. The results showed that OMC product recommendation service positively affected cognitive and affective responses. The findings of the study suggest that OMC retailers might pay attention to the affective and cognitive responses of consumers through product recommendation services that can enhance product evaluations and OMC usage intentions.

A Meta-Analysis and Review of Relationship between Trust and Risk on Online Environment in Korean Research (온라인 환경에서 신뢰와 위험 관계에 대한 문헌적 고찰 및 메타분석: 국내 연구를 대상으로)

  • Kim, Jong-Ki;Kim, Jin-Sung;Kim, Sang-Hee
    • Journal of Information Technology Services
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    • v.11 no.1
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    • pp.59-81
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    • 2012
  • Recently, in the research on online environment such as e-commerce, and internet banking, the conceptual discussion about trust and risk in an effort to explain a user's behavior is briskly underway. Most of the research on trust and risk are setting up causal relationship without clearly establishing the relationship between trust and risk. Accordingly this study conducted a meta-analysis in order to consider the relationship between trust and risk and to take a look at the difference in causal relationship. This study includes a total of 18 research papers which are setting up the causal relationship between trust and risk in online environment among the research papers published in domestic academic journals since 2000. Result of the meta-analysis, showed that the effect size was -0.367 in the path from trust to risk; -0.131 in the path from risk to trust; -0.276 in the bidirectional path between trust and risk. In addition, this study was able to confirm through literature review that there appeared a high effect of path in case where trust and risk were measured by an uni-dimensional concept than by a multi-dimensional concept.

A Study on the Preemptive Measure for Fake News Eradication Using Data Mining Algorithms : Focused on the M Online Community Postings (데이터 마이닝을 활용한 가짜뉴스의 선제적 대응을 위한 연구 : M 온라인 커뮤니티 게시물을 중심으로)

  • Lim, Munyeong;Park, Sungbum
    • Journal of Information Technology Services
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    • v.18 no.1
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    • pp.219-234
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    • 2019
  • Fake news threaten democratic elections and causes social conflicts, resulting in major damage. However, the concept of fake news is hard to define, as there is a saying, "News is not fake, fake is not news." Fake news, however, has irreversible characteristics that can not be recovered or reversed completely through post-punishment of economic and political benefits. It is also rapidly spreading in the early days. Therefore, it is very important to preemptively detect these types of articles and prevent their blind proliferation. The existing countermeasures are focused on reporting fake news, raising the level of punishment, and the media & academia to determine the authenticity of the news. Researchers are also trying to determine the authenticity by analyzing its contents. Apart from the contents of fake news, determining the behavioral characteristics of the promoters and its qualities can help identify the possibility of having fake news in advance. The online community has a fake news interception and response tradition through its long-standing community-based activities. As a result, I attempted to model the fake news by analyzing the affirmation-denial analysis and posting behavior by securing the web board crawl of the 'M community' bulletin board during the 2017 Korean presidential election period. Random forest algorithm deemed significant. The results of this research will help counteract fake news and focus on preemptive blocking through behavioral analysis rather than post-judgment after semantic analysis.

A Study on the Regulation of Consumer Deception Interface: Focusing on Dark Patterns (온라인상의 소비자 기만 인터페이스 규제방안 연구: 다크패턴을 중심으로)

  • Ji Hun, Lim;Beop Yeon, Kim;Hun Yeong, Kwon
    • Journal of Information Technology Services
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    • v.21 no.6
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    • pp.73-89
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    • 2022
  • After COVID-19, the percentage of digital consumption has soared. Meanwhile, as the online platform market grows in size and digital commerce is activated, controversy over the "dark pattern" that induces consumers to do unintended things online continues. Dark patterns are deceptive design patterns that cause consumer rights and financial damage and can result in damaging fair market competition. As a result, the need to regulate dark patterns is raised not only by overseas regulators but also in Korea, and there are growing calls for strengthening consumer protection against dark patterns, with amendments to related laws being proposed by the National Assembly. On the other hand, there is no agreed definition of dark pattern from a normative point of view, and there is a concern that even legitimate advertising marketing activities of companies may be regulated, so a review of dark pattern regulatory measures is required. In this study, dark patterns were reviewed from a normative point of view and appropriate regulatory measures were analyzed. In particular, the problem of the dark pattern can be applied in a way that the market regulates and controls itself in consideration of the characteristics of the online platform. This study reviewed the possibility of self-regulation for dart patterns and proposed the role of each subject.

Research on the Design and Use of Digital Badges to Increase Educational Value (교육적 가치를 높이는 디지털배지 설계와 활용 연구)

  • Youn A Min;Ji-Eun Lee
    • Journal of Information Technology Services
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    • v.22 no.6
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    • pp.71-86
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    • 2023
  • The rapid change in industry and the technological gap give rise to social demand for upskilling and reskilling and spread of alternative education. Against this backdrop, digital certification and career management tools can be used to manage various types of learning activities comprehensively. Digital badges provide various kinds of history information related to individual learning, and the reliability and transparency of the issued information can be strengthened by applying blockchain technology. There have been various discussions about digital badges for a long time, but due to the lack of standards to support the issuance and distribution of digital badges, they have been partially used in some areas. However, interest in digital badges is increasing due to the development of related technologies, establishment of standards, paradigm changes in higher education, and government policies related to nurturing digital talent. This paper deals with the use of digital badges for efficient and transparent learning management and career management in an online learning environment. The researcher analyzes the technical characteristics and use cases of digital badges, and proposes a plan for use in online higher education based on them.

Effective E-Learning Practices by Machine Learning and Artificial Intelligence

  • Arshi Naim;Sahar Mohammed Alshawaf
    • International Journal of Computer Science & Network Security
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    • v.24 no.1
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    • pp.209-214
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    • 2024
  • This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.

A Study on the Effect of the Facilitating Factors of B2C eCommerce on the Online Shopping and the Overseas Direct Purchase (우리나라 B2C 전자상거래 촉진요인이 온라인쇼핑과 해외직접구매에 미치는 영향 : 택배물류기업의 과제를 중심으로)

  • Jung, Seok-Mo;Park, Seung-Lak
    • International Commerce and Information Review
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    • v.18 no.2
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    • pp.27-51
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    • 2016
  • The purpose of this paper is to examine correlations between the facilitating factors of the B2C e-commerce and the online shopping and the overseas direct purchase for the purpose of suggesting the successful logistics operational strategies for the domestic parcel delivery service companies. This paper conducts wide literature reviews and empirical analyses on relationships between the facilitating factors of B2C e-commerce and the online shopping and the overseas direct purchase in B2C e-commerce. We built two regression equations that dependable variables are the turnover of online shopping and the amount of imports by international postal logistics services respectively. The former equation's estimation results show that all the independable variables are affecting the dependable variable in the long-term jointly. And, the results show that the change of the turnover of online shopping is affected not only by the change of the usage count of a credit card and the real GDP, but also by the change of the error-correction variable. The latter equation's estimation results show that all the independable variables are affecting the dependable variable in the long-term jointly. Futhermore, the results show that the change of the amount of imports by international postal logistics services is affected not only by the change of the usage count of a credit card, the exchange rate and the internet protocol IPv4, but also by the change of the error-correction variable. Based on these research results, a high advanced strategic approach for optimum parcel delivery services is highly required.

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Designing an Integrated Online-guide for Overseas Applicants Seeking to Teach English in Korea: Focus on Job and Visa Application

  • Ryu, JaeYoul
    • International Journal of Contents
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    • v.10 no.4
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    • pp.83-89
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    • 2014
  • This study suggests an effective online guide for foreign teachers who want to teach English in Korean schools. When designing this guide for overseas applicants, there should be a consistent analysis to reflect the process of the system. Thus, this paper provides an analysis and results for an integrated online guide to increase the efficiency based on the pedagogical framework for analysis of the 'ADDIE' model (Analyze, Design, Development, Implementation, and Evaluation). The number of job applicants who wish to teach English in Korea is growing rapidly because Korea is one of the fastest growing economies in the world and the 'Korean Wave' has especially been experiencing significant changes with the development of social network services and digital technologies. As a result, overseas applicants' expectations regarding Korea when they are seeking information and applying is very high, but the aspects of the procedure provided by the government are somewhat disappointing. The paper presents customer needs and specific recommendation for each step of the application process to improve the guide's effectiveness.

How to Promote E-Commerce Exports to China: An Empirical Analysis

  • KIM, MIN JUNG
    • KDI Journal of Economic Policy
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    • v.39 no.2
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    • pp.53-74
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    • 2017
  • This paper focuses on the recent extraordinary growth of Chinese cross-border online shopping and draws implications for firm strategies and government policies in Korea to utilize the phenomenon as an opportunity to expand into a broader market via e-commerce exports. I conduct a survey of Chinese cross-border online consumers to identify constraining and determining factors during the stages of their purchase decisions of Korean products. Given the fact that Chinese cross-border online shopping is at the incipient stage and consumers have expressed a strong intent to repurchase, future strategies should focus on attracting new consumers. Accordingly, Korean firms should build a powerful brand image, improve product quality and post-purchase services, and take full advantage of the popularity of the Korean Wave. Meanwhile, the government must step up policy efforts by, for instance, improving e-commerce export statistics, simplifying logistics and clearance procedures, and building trust in Chinese consumers.