• The Journal of Society for e-Business Studies
• /
• v.17 no.4
• /
• pp.95-115
• /
• 2012

The e-Book market has rapidly grown as an innovative product which is mixed its traditional and technological characteristics. However, decreasing user resistance to the e-Book is very important to continually keeping up its market growth. Previous studies for user resistance have been studied as a negative barrier for various innovative products with importance of user resistance. Nevertheless, the factors for user' resistance to the e-Book field have not been found out considering both perceived value and switching cost. Especially, both innovative technology and user specifics should be considered when explaining user resistance to adopting e-Books. Thus, the purpose of this study is to understand the process for user resistance to the e-book and find out its antecedents with perceived value and switching cost at the same time. As a result, it appeared that triability, uncertainty and complexity affected perceived value and switching cost. The user-based antecedents like social norm and perceived value increased the effect of self-efficacy. Also, self-efficacy and perceived value decreased user resistance whereas switching cost increase user resistance to the e-Book perspective.

• The Journal of Society for e-Business Studies
• /
• v.22 no.1
• /
• pp.1-13
• /
• 2017

Though digital imaging devices such as smart phones, digital cameras and office scanners have improved significantly over the past years, they are seldom used for industrial application. This may be attributable to high level of quality and performance requirement for industrial application, but there lacks a test or an objective evaluation whether the upgraded performance of entry-level device is sufficiently enough to replace existing industrial equipments or not. If there exists an industrial application area where the applicability of entry-level equipment is proved by some objective tests, then companies will be able to reduce investment on expensive industrial equipment. In this study, applicability of entry-level digital devices for color difference discrimination of PVC (Polyvinyl chloride) color sheet is tested. By testing smart phone, digital camera, and office scanner for color difference discrimination, authors have found that office scanner shows consistent result with less measurement error. Additional experiment on comparing office scanner with industrial spectrophotometer has confirmed that there exists high correlation between the two devices' results. Based on this result, office scanner may be applicable to discriminate the color difference of PVC sheet instead of expensive industrial spectrophotometer if proper management criteria are established.

• The Journal of Society for e-Business Studies
• /
• v.15 no.3
• /
• pp.25-44
• /
• 2010

In recent years, Ubiquitous City (u-City), the integrated and convergence of ubiquitous services, infrastructure, technologies and city management of the new future development city, is being initiated by the Korean government and local authorities as their new national growth engine. However, a performance measurement system for evaluating and monitoring the impacts of U-City implementation is yet to be established. This paper aims to develop an integrated performance management system (PMS) and extensively used as a tool for managing performance activities to support the visions and goals of the u-City operations. Based on current reviews on the literature and interviews with experts drew Critical Success Factors (CSF) and Key Performance Indicators (KPI) by four different measurement domains including U-City services, infrastructure, technologies, management and developed into an integrated performance measurement system based on the Balanced Scored Card (BSC) perspective. The system also provides number of examples of 'u-City Strategy Map' which illustrates a causal relationship between CSFs to execute u-City visions and goals.

• The Journal of Society for e-Business Studies
• /
• v.15 no.3
• /
• pp.131-145
• /
• 2010

Until now, popular paradigms to provide e-catalog documents that are adapted to users' needs are keyword search or collaborative filtering based recommendation. Since users' queries are too short to represent what users want, it is hard to provide the users with e-catalog documents that are adapted to their needs(i.e., queries and preferences). Although various techniques have beenproposed to overcome this problem, they are based on index term matching. A conventional Bayesian belief network-based approach represents the users' needs and e-catalog documents with their corresponding concepts. However, since the concepts are the index terms that are extracted from the e-catalog documents, it is hard to represent relationships between concepts. In our work, we extend the conventional Bayesian belief network based approach to represent users' needs and e-catalog documents with a concept network which is derived from the Web directory. By exploiting the concept network, it is possible to search conceptually relevant e-catalog documents although they do not contain the index terms of queries. Furthermore, by computing the conceptual similarity between users, we can exploit a semantic collaborative filtering technique for recommending e-catalog documents.

• The Journal of Society for e-Business Studies
• /
• v.14 no.4
• /
• pp.229-253
• /
• 2009

The effect of knowledge sharing and its importance have been reported in the information systems literature. However, little has been learned about the impact of knowledgeexchange web sites. This study explores relationships between individual characteristics such as personal innovativeness in the domain of information technology (PIIT), computer selfefficacy (CSE), and computer anxiety (CA), user involvement (UI), and knowledge sharing in a knowledge.exchange website. In order to examine our research model, we adopted a survey research design based on the Structural Equation Modeling method. By analyzing 241 samples collected, we conclude that UI and CA are valuable to discuss in terms of their theoretical and practical implications. This study not only extends the research on personal innovativeness and knowledge sharing, but also suggests a need for focused research efforts to investigate real practices on knowledge sharing. This study initiates this kind of efforts to make a relevant tie between design of knowledge sharing applications and the success case in the commercial field to encourage users to share their knowledge.

• The Journal of Society for e-Business Studies
• /
• v.15 no.3
• /
• pp.1-23
• /
• 2010

It is crucially important to exchange and manage the financial information of an organization for the reason of complexity and diversity of information caused by its implicit information involved. Especially, according to the development of information technology, various approaches appeared to manage financial data of organization. For example, XBRL (Extensible Business Reporting Language) is one of the technologies dealing with the above criteria. Basically, XBRL is a business reporting language to define and exchange financial information, such as a financial statement of organization. XBRL is an international standard which enables the exchange of information between information providers and consumers by adding the tags involving the information of circumstantial factors of data. However, XBRL is not able to describe semantics because XBRL is fundamentally based on XML(Extensible Markup Language) having the purpose of expressing and structuring data. Therefore, this paper aims to enable semantic information to XBRL through the semantic technology. The objective of this paper is an ontologization of the knowledge to perform sharing, reusing, discovering, and inferring the knowledge described and conducted by XBRL. In order to achieve the above objective, this paper suggests the methodology for the ontologization of the category and instance document of XBRL. Furthermore, this paper points out the possibility of suggested methodology in a practical business through indicating the advantages of the knowledge described by XBRL.

• The Journal of Society for e-Business Studies
• /
• v.21 no.4
• /
• pp.137-150
• /
• 2016

A variety of O2O (Online to Offline) services such as Uber, Airbnb, and KakaoTaxi that create new values by connecting offline and online have emerged in the world. O2O services support the convenience of online services and the real-life capability of offline services simultaneously. Thanks to the development of ICTs such as mobility, IoT (Internet of Things), Fin-tech, and big data technologies, the market size of O2O industry is growing very rapidly. This paper reviews various O2O services and industry trends in Korea. In addition, important issues on O2O services and industry promotion are reviewed and presented. Specifically, legislative issues regulating the O2O industry in Korea, interest conflicts between new O2O platform providers and existing traditional offline service providers, current technology infrastructures for O2O services, and negative or side effects of O2O services are reviewed and summarized. Finally, comprehensive policy directions are proposed based on these reviewed issues. It is expected that the proposed policy directions would be adopted by the government and this research could consequently contribute to strengthening the competitiveness of the O2O industry in Korea.

• The Journal of Society for e-Business Studies
• /
• v.21 no.4
• /
• pp.55-67
• /
• 2016

Global courier companies have been devoting to get more customers and profits with different service because of the worse profits from price competition. So, the effort of improving satisfaction of customers through improving courier service qualities is more important than any other time. However, the previous way to measure courier service has limitation that costs lots of time and money from off-line survey. This limitation could be overcome with less effort and costs if utilizing on-line social big data analysis and it is so helpful to improve competitiveness of courier companies. Therefore, I have collected comments from domestic and international courier companies from big data on social network service, analyzed the satisfaction of customers by R and verified the result by comparing with American Customer Satisfaction Index (ACSI) and Korea National Customer Index (NCSI) in this research. I found out the result depicts clear correlation between SNS analysis and customer satisfaction. This study can be the foundation to predict customer satisfaction easily by utilizing real time SNS information.

• The Journal of Society for e-Business Studies
• /
• v.23 no.1
• /
• pp.23-36
• /
• 2018

This study analyzed the causal relationship between cooperation elements and the performance of joint R&D and verified the mediating effect of collaborative efforts. Cooperation elements consist of strategic agreement, complementation of resources, trust and absorption capacity, and influence the intention to participate in the joint R&D. The purpose of this study is to identify the effects of the cooperation elements and collaborative efforts on the short-term and long-term performance of the joint R&D. The results are summarized as follows: First, it is verified that strategic agreement, complementation of resources, trust and absorption capacity constitute the second order factor of cooperation elements, which positively affects the joint R&D performance. Second, it is verified that collaborative effort play a role as a mediating factor in the relationship between joint R&D performance and cooperation elements. Specifically, it was confirmed that positive effects on short-term performance of the joint R&D can be increased through cooperative efforts. However, in the case of long-term performance, the effects of collaborative efforts could not be confirmed.

• The Journal of Society for e-Business Studies
• /
• v.23 no.2
• /
• pp.83-96
• /
• 2018

Extracting keywords representing documents is very important because it can be used for automated services such as document search, classification, recommendation system as well as quickly transmitting document information. However, when extracting keywords based on the frequency of words appearing in a web site documents and graph algorithms based on the co-occurrence of words, the problem of containing various words that are not related to the topic potentially in the web page structure, There is a difficulty in extracting the semantic keyword due to the limit of the performance of the Korean tokenizer. In this paper, we propose a method to select candidate keywords based on semantic similarity, and solve the problem that semantic keyword can not be extracted and the accuracy of Korean tokenizer analysis is poor. Finally, we use the technique of extracting final semantic keywords through filtering process to remove inconsistent keywords. Experimental results through real web pages of small business show that the performance of the proposed method is improved by 34.52% over the statistical similarity based keyword selection technique. Therefore, it is confirmed that the performance of extracting keywords from documents is improved by considering semantic similarity between words and removing inconsistent keywords.