• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.652-657
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• 2018

With the rapid development of e-commerce, many customers can now express their opinion on various kinds of product at discussion groups, merchant sites, social networks, etc. Discerning a consensus opinion about a product sold online is difficult due to more and more reviews become available on the internet. Opinion Mining, also known as Sentiment analysis, is the task of automatically detecting and understanding the sentimental expressions about a product from customer textual reviews. Recently, researchers have proposed various approaches for evaluation in sentiment mining by applying several techniques for document, sentence and aspect level. Aspect-based sentiment analysis is getting widely interesting of researchers; however, more complex algorithms are needed to address this issue precisely with larger corpora. This paper introduces an approach of knowledge representation for the task of analyzing product aspect rating. We focus on how to form the nature of sentiment representation from textual opinion by utilizing the representation learning methods which include word embedding and compositional vector models. Our experiment is performed on a dataset of reviews from electronic domain and the obtained result show that the proposed system achieved outstanding methods in previous studies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.3
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• pp.85-92
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• 2009

A lot of B2C Internet shopping mall companies are establishing various strategies in order to make a result to be further better than it. But They are experiencing trouble by restriction like manpower or financial issue. Therefore, frying to grasp how an assistance degree of a company In B2C Internet shopping mall success factors affects will be important information in resources distribution of management strategic which is established by B2C Internet shopping mall company to survives in unlimited competition. In this paper, It is purpose to find which is success factors affecting to a finance and the other part of results in B2C Internet shopping mall companies. In order to achieve a study purpose, we make a model by literature study and inquiries and analysis the result data. Consequently for successful B2C Internet shopping mall operation, it needs a assistance of a company fully. But the company which shall get a maximum effect with resources limited is difficult to assistance fully. This study will be used to establish strategies of distribution of resources appropriately for the company which is not fully assist B2C Internet shopping mall operation because of restrictions of manpower, material and finance.

• The Journal of Information Systems
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• v.20 no.3
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• pp.41-61
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• 2011

In order to buy products through the Internet, consumers dissipate much time and efforts in collecting and comparing product information from various online shopping malls. Consumers can save their efforts by using price comparison sites, but there are some shortcomings in comparison shopping. Firstly, comparison sites do not show the lowest price of some products that are selling in shopping malls. Secondly, the product information provided by comparison sites is sometimes wrong. Thirdly, there are too many results. In order to overcome the shortcomings, we suggested a comparison shopping system based on RSS by using ontology matching. We used the current RSS standard for syntactic interoperability instead of suggesting new standards. Moreover, we used ontology matching for semantic interoperability to compare product information with different ontologies. The suggested ontology matching consists of three steps. The first step is finding exact sense from WordNet for a given product category, and the second step is searching for matching product category candidates from the products of RSS feeds. The final step is calculating similarities of the candidates with the target product category. From the experiments, we could get better recall rates that are suitable for e-commerce environments and the results show that our system is effective in product comparison.

• East Asian Journal of Business Economics (EAJBE)
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• v.3 no.4
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• pp.21-28
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• 2015

With CJK FTA as a starting point, this paper mainly studied the role of the logistics legal system in promoting marine industrial cooperation, facilitating investment trade, establishing international transport logistics, building marine economy international cooperation demonstration zone and deepening the economic and financial cooperation between China, Japan and Korea, and explored the way to establish an integrated logistics system between China, Japan and Korea to match the e-commerce certification system, online payment system and logistics distribution, thereby gradually promoting economic development and logistics integration in Northeast Asia, improving logistics efficiency, reducing logistics costs and establishing a unified logistics industry standardization system. This will accelerate logistics industry integration in Northeast Asia, build a unified logistics management center in Northeast Asia, and promote a new model of integrated logistics cooperation in Northeast Asia. Therefore, it has a practical and reference significance. In short, the improvement for the logistics legal system in CJK FTA is not the responsibility of a country or several countries. It concerns the development and prosperity for the logistics industry in the three countries and is an inevitable choice to promote the vigorous development of CJK FTA and economic take-off of each country.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.148-158
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• 2020

With the limited product information available in the m-shopping context, product-naming strategies affect consumer choices by expressing the key product features or the brand's images. Given the increasing dominance of the mobile commerce in consumption across various product categories, few studies have examined the role of product naming in consumer choices in the m-shopping. In filling the research gap, this study empirically analyzes the influence of the perceived diagnosticity of product names in m-shopping on consumer attitude towards the product. Moreover, the study tests the moderating influences of the individual characteristics of consumers (i.e., age, gender, and m-shopping experience) in the dynamics of the perceived diagnosticity impacting the product evaluations. The results of the study using an online survey reveal that the perceived diagnosticity of the product names significantly increases consumer attitude towards the product. Additionally, the moderating effects of gender, age, and m-shopping experience are all found significant: (1) The positive influence of the perceived diagnosticity of the product names is greater for males than for females. (2) The older the respondent, the more statistically significant the positive influence on diagnosticity. (3) The more respondents having m-shopping experience, the more positive the impact of the diagnosticity. Implications and limitations of the study are discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.1-5
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• 2016

The all-in-one service, for example, mobile wallet enables users to have credit card, membership card, and coupon in one place. It has been one of important o2o services with offline payment. In order to take advantage of mobile commerce, it is necessary to authenticate clients automatically without entering their passwords. This paper proposes an automatic client authentication method in all-in-one service. At registration, clients receives and stores an authentication ticket from a company, which contains an user's identifier and password encrypted by company's symmetric key. Client can be authenticated by transferring authentication tickets to companies at service requests.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.133-136
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• 2003

Due to recent explosion of information available online, question- answering (Q&A) systems are becoming a compelling framework for finding relevant information in a variety of domains. Question-answering system is one of the best ways to introduce a novice customer to a new domain without making him/her to obtain prior knowledge of its overall structure improving search request with specific answer. However, the current web poses serious problem for finding specific answer for many overlapped meanings for the same questions or duplicate questions also retrieved answer for many overlapped meanings fer the same questions or duplicate questions also retrieved answer is slow due to enhanced network traffic, which leads to wastage of resource. In order to avoid wrong answer which occur due to above-mentioned problem we propose the system using ontology by RDF, RDFS and mobile agent based on JAVA. We also choose wireless internet based embedded device as our test bed for the system and apply the system in E-commerce information domain. The mobile agent provides agent routing with reduced network traffic, consequently helps us to minimize the elapsed time for answers and structured ontology based on our proposed algorithms sorts out the similarity between current and past question by comparing properties of classes.

• Fashion & Textile Research Journal
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• v.11 no.3
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• pp.437-444
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• 2009

According to the activation of the fashion electronic commerce, this research investigated the merits and demerits and improvement plan of the 3D virtual try-on technology using the qualitative research method. This research was performed by interview with 70 evaluation group. The evaluation group of 3D virtual try-on was organized and the fit evaluation process by 3D human body scan and the 3D virtual try-on of the i-Fashion technology center were experienced. This study was performed by interview after the actual and virtual try-on about the casual shirt. The convenience and accuracy of measurement, usability in online shopping, body evaluation, complement of sizing system, and body shape management were discovered as merits. The requirement of high accuracy in sizing and avatar, limits of fabric expression, practical limitation by cost, vexatious of measurement garment, differences between real and virtual fittings, personal information leakage risk, and etc were pointed out as demerits. The mass customization, customized garment connected with medical service, humanized avatar, improved fitting report, entertainment, coordination, wardrobe manager were proposed as improvement plan.

• Journal of Distribution Science
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• v.17 no.8
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• pp.25-34
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• 2019

Purpose - Investigate the association of internal and external factors of consumers and analysing the role of moderating comparative marketing aspects, especially the part of YouTuber and celebgram in influencing purchase decisions. Apart from that, it provides an overview of the pattern of purchase decision making in forming Millennials and Y generation consumer culture Research design, data, and methodology - This study uses a quantitative research approach with descriptive, predictive, and prospective data analysis on 300 eligible Millennials and Y aged 20-35 years who are bachelor-educated. Data collection using online surveys with final statistical analysis using the Partial Least Square (PLS) approach Results - All hypothesis are declared accepted, indirect testing the dominant internal consumer factors have a positive and significant effect on consumers' purchase decisions. Through testing Moderating, aspect marketing comparative is also authoritative able to moderate internal consumer factors towards purchase decision making. Conclusions - Digital technology is changing the paradigm and perceptions of the millennials and Y generations in terms of behaving as a generation of technology connoisseurs who also influence and shape the culture of that generation and the generations to come in the future.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.427-438
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• 2020

This study aims to analyze and confirm brand awareness' role in influencing the repurchase intention both directly and indirectly on customer satisfaction variables and repurchase intention variables. The contribution brought by this study is to reflect manifest variables such as recall, purchase, and consumption. The number of respondents in this study was 200 samples using the online survey data collection method (Google form), while the research approach is quantitative explanatory. The data analysis test tools include the Structural Equation Modeling (SEM) approach with AMOS as a statistical data analysis software and Sobel test to indirectly test the relationship. This study consists of four hypotheses, of which three hypotheses are positively and significantly related (brand awareness on repurchase intention, brand awareness on customer satisfaction, and customer satisfaction on repurchase intention). Through indirect relationship, namely, brand awareness on repurchase intention through customer satisfaction, the study showed no significant effect. In a comprehensive way, this study emphasizes the factor of customer satisfaction as a determinant of consumer loyalty and repurchase intention. Therefore, creating optimal customer satisfaction, service excellence, promotion and massive advertising, guaranteeing the safety and ease-of-use apps, and ease of shopping, especially for e-commerce industry, is a serious concern.