• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.125-137
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• 2011

Product reviews in online shopping sites can serve as a useful guideline to buying decisions of customers. However, due to the massive amount of such reviews, it is almost impossible for users to read all the product reviews. For this reason, e-commerce sites provide users with useful reviews or statistics of ratings on products that are manually chosen or calculated. Opinion mining or sentiment analysis is a study on automating above process that involves firstly analyzing users' reviews on a product to tell if a review contains positive or negative feedback, and secondly, providing a summarized report of users' opinions. Previous researches focus on either providing polarity of a user's opinion or summarizing user's opinion on a feature of a product that result in relatively low usage of information that a user review contains. Actual user reviews contains not only mere assessment of a product, but also dissatisfaction and flaws of a product that a user experiences. There are increasing needs for effective analysis on such criteria to help users on their decision-making process. This paper proposes a model that stores various types of user reviews in a data warehouse, and analyzes integrated reviews dynamically. Also, we analyze reviews of an online application shopping site with the proposed model.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1053-1057
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• 2005

The Taiwan government agencies have been promoting e-commerce for the construction industry with several initiatives since 2000. The development of standards for the procurement information exchange among government agencies, construction firms, and suppliers for the construction industry is one of the major initiatives and begins to produce tangible results. This paper reviews the effort for developing the information exchange standards and compares the development strategies used in different segments in the supply chain. Lessons learned during the development course are also discussed.

• The Journal of Society for e-Business Studies
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• v.17 no.4
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• pp.209-219
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• 2012

Objects such as products, product reviews, and user profiles are important in e-commerce domain. Vector is one of the most widely used object representation scheme. Information of e-commerce objects may be modeled by vectors in which the featured values are assigned to various dimensions. E-commerce objects are in general quantitatively large while some are similar or even same in reality. It Plays, therefore, an important role to measure the similarity between objects. In this paper, we survey the state-of-the -art vector similarity measures. Similarity measures are analyzed to feature the algebraic characteristics and relationship of those, and upon which we classify the related measures accordingly. We then present such features that standard vector similarity measures should convey.

• The Journal of Society for e-Business Studies
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• v.9 no.2
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• pp.1-16
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• 2004

This study evaluates the factors of e-commerce websites using a Kano model. In this study, especially the Kano model is applied to both business-to-customer(B2C) and business-to-business(B2B) websites in order to reveal how factors are different between the two types, while previous research is limited to mainly evaluation of B2C websites. In addition, the factors on product types supported from websites are defined, which resulted in discovering the differences among the websites by product types. The contribution of this paper is as follows. Firstly, it reveals the actual B2B website evaluation as well as evaluation by product types such as physical and service product. Secondly, it reviews the B2B e-Commerce that will play a key role in the near future.

• Journal of Distribution Science
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• v.20 no.5
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• pp.13-22
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• 2022

Purpose: This study aimed to identify factors affecting attitudes and intentions toward online purchasing of millennials and gen z in Indonesia by considering distribution capabilities factors. Research design, data and methodology: This study used a non-probability sampling technique. The questionnaire was distributed through an online platform and obtained 225 respondents. The data acquired from the respondents used SPSS 23 and AMOSS 21 to process the Structural Equation Model (SEM). Results: The results of this study stated that attitudes and intentions toward online purchases were influenced by delivery speed and trust. The results also stated that the perception of web quality positively influenced trust. On the other hand, shipping tracking, people's importance to consumers, and online reviews had no significant effects on online purchasing attitudes. Conclusions: This research has made an essential contribution to increasing and expanding our understanding of factors that affect attitudes and intentions toward online shopping in a developing market, Indonesia. From a practical perspective, this research examined the integrated consumer model of millennials and Gen Z online shopping in Indonesia that considers distribution capability, trust, and perceived website quality factors. Therefore, e-commerce business actors can design e-marketing strategies and programs to achieve the company's long-term goals.

• The Journal of Information Systems
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• v.15 no.3
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• pp.1-34
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• 2006

The purpose of this study Is to develop empirically validated instrument for business model. The previous researches related to business model were almost taxonomies. And the focus of those researches were the classification by the degree of integration and innovation the origin, and the main source of revenue etc. In the emerging fields such as IT, e-commerce, and e-business, it tends to overlook methodological issue in its substantive relationships and also measurement. Business model is taken an interest in recent years. However, as the non-establishment of construct on business model has made no empirical study, this, study tries to develop an empirical validated instrument that identifies the dimensions of business model by uncovering meaningful group or categories. For this, the outlined domain of business model are defined as an organizational level that competes in the industry through the literature reviews. And the traits such as process integration, value chain reconstruction, strategic alliance with another business model, specialty in a certain wet sustainability of essential capabilities, differentiation, convertibility, customer orientation, revenue stream, newness, innovation leadership: and vision sharing are identified in those respective domains, and then the traits are classified into five dimensions such as interlinkageableness, valueness, functionalness, preemptiveness, and goalness by their characteristics. Generating items are continued on the basis of operationalization. Confirmatory factor analysis is performed in order to develop validated instrument with LISREL measurement model. Finally the instrument is developed through the previous procedure. The implication of this study is the first empirical effort to assess business model. The resulting instrument can be used with dependent variables in the future study related to business model. And the establishment of construct of business model is able to make a basis to rise an additional issue consequently. In the practical side, the instrument also can be employed as an assessment framework that can assess whether the expected value success or not. The instrument with the measurement can be used on competitor's business model, In. When an investment into a i-m with a specific business model, these instrument developed can be presented as the basic framework of assessment.

• International Commerce and Information Review
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• v.9 no.1
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• pp.235-257
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• 2007

In order to achieve the purpose, the present study reviews first research papers, both domestic and foreign, related to the e-SCM; it, then, sorts out the variables, economic and otherwise, that are believed to be the most important to the adaption factors of the e-SCM on Korean Hospitals. In recent days a growing concensus has been emerging among Korean Hospitals that a e-Supply Chain Management(SCM hereafter), if properly introduced and effectively managed, could secure a competitive edge in their Hospital business. Therefore, there is an urgent heed for an study that will attempt to find out the most significant factors, and most proprice Hospital environment, affecting the implementation of e-SCM in Korean Hospitals. For this study, 101 questionnaires were collected from the employee who is work at Korean Hospitals. We will make the concept by each variable clear through manipulative definition of each variable, also we will compose questions for the characteristics by each variable to be reflected. In relation to the questions required for the data analyses, 5 points Likert scale will use. The main findings are as follows: The relationship between the hospital types, hospital size and employee size and adaption degree of e-SCM was analyzed, respondents who had higher degree of hospital size and employee size showed higher level of adaption of e-SCM Regression analyses were carried out to examine the relative contribution of three set of variables on the adaption degree of e-SCM. This study explains that hospital environment factor, partner factor and IT infra factor are major factors in predicting the adaption degree of e-SCM. This study data has its limitation that collected by internet questionnaires. To present more solid data for the purpose of improving the study of e-SCM, further study which would complement the shortcomings is needed.

• The Journal of Information Systems
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• v.15 no.1
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• pp.1-20
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• 2006

Peer-to-peer systems (P2P) are rapidly growing in importance on the Internet environment, quickly extending the range of their usage. However, peer-to-peer systems have not been widely applied in electronic commerce because they have not been established as an appropriate business model. Therefore, we firstly review the previous research relevant to peer-to-peer systems, and then analyze the business models for P2P systems presented by previous researchers. Furthermore, this study categorizes major issues in terms of the technical and business model aspects. On the basis of these reviews, we develop P2P electronic commerce systems based on the file sharing method between users, focusing on user interface friendliness. A developed P2P electronic commerce systems are programmed by using the C# based on the Microsoft.net solution. A database is implemented using the MSSQL2000. A main application technology is designed that P2P electronic commerce systems make it possible. for user to extend into BtoB Solution by using WSDL (Web Services Description Language), UDDI (Universal Description, Discovery, and Integration) and the XML that is a document for users. User interface is made as form of Internet messenger for a user's convenience and is possible to develop into a commodity transaction system based on XML. In this study, it is possible for the P2P electronic commerce system to have extended application to fields such as Internet shopping mall and property transaction in a nonprofit organization, a public institution and a large scale nonprofit institution that have a similar structure as compared with a structure of a nonprofit educational institution.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.195-203
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• 2018

With the explosion of SNS(social network services) users, the social commerce market has emerged as a new consumer market, and will continue to grow in recent years. Despite the market environment, however, studies are lacking as to the causes of frustration that are hurting social commerce activation. This study is based on the 'Hezbollah' 2 Factor Theory and is a study of social commerce users' satisfaction and frustration factors. For this purpose, social commerce site characteristics and user characteristics were first derived from interviews and literature reviews to confirm their relationship to satisfaction and dissatisfied products. The results showed that the price discount rate, diversity, regional infrastructure, and e-commerce familiarity resulted in the impact on the definition of satisfaction, while the price discount rate, interoperability and innovation resulted in the definition of unsatisfactory goods. It also showed that satisfaction affects the definition of intended use. In particular, the price discount rate was found to be the only factor affecting the definition of unsatisfactory as well as affecting the definition of satisfaction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.89-93
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• 2014

Reviews are very important for potential consumer' making choices. They are also used by manufacturers to find problems of their products and to collect competitors' business information. But someone write fake reviews to mislead readers to make wrong choices. Therefore detecting fake reviews is an important problem for the E-commerce sites. Support Vector Machines (SVMs) are very important text classification algorithms with excellent performance. In this paper, we propose a new incremental algorithm based on weight and the extension of Karush-Kuhn-Tucker(KKT) conditions and Convex Hull for online Review Spam Detection. Finally, we analyze its performance in theory.