Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
The Journal of Information Systems
Journal Basic Information
Journal DOI :
The Korea Association of Information Systems
Editor in Chief :
Volume & Issues
Volume 21, Issue 4 - Dec 2012
Volume 21, Issue 3 - Sep 2012
Volume 21, Issue 2 - Jun 2012
Volume 21, Issue 1 - Mar 2012
Selecting the target year
The Effects of Contents and Parody Traits on UCC User Attitude and e-Worth of Mouth
Hwang, In-Ho ; Kim, Tea-Ha ; Kim, Jin-Soo ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 1~22
DOI : 10.5859/KAIS.2012.21.3.1
This study aims to investigate the effects of UCC parody content trait on user attitude and e-word of mouth. The conventional methods had two identified factors: UCC content factors - trust, usefulness, and information, and parody content factors - humor, satire, and mockery. It also analyzes the impacts gap in UCC attitude between a high-involvement user and a low-involvement user in UCC contents. In this study, our findings are broadly summarized as follows: first, both trust and information, of UCC content factors, showed a positive impact on UCC attitude; second, both humor and satire, of parody content factors, showed a positive impact on UCC attitude; third, UCC attitude showed a positive impact on e-word of mouth, and both humor and satire were highly correlated to UCC attitude in UCC involvement user groups. In conclusion, this study is expected to give useful suggestions on selecting variables for further studies on UCC parody contents.
Structure Modeling on Factors Influencing the User Satisfaction of Social Network Services by Mediating the Moderator of the Service Types in SNS
Yun, Sang-Hun ; Kim, Keun-Hyung ; Oh, Sung-Ryoel ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 23~44
DOI : 10.5859/KAIS.2012.21.3.23
The first purpose of this paper is to identify factors having an effect on the user satisfaction of the SNS(Social Network Services) users and to examine causal relationships among those factors. The second is to examine how the causal relationships between the factors could be changed in the service types in SNS, which would be divided into web based SNS and mobile SNS. For achieving the purposes, we established the research model and hypotheses based on Information Success and Technology Acceptance Model. The characteristics of the SNS users consist of Individual Innovation and Social Influence while the characteristics of the SNS system consist of Information Quality and System Quality. The hypotheses were verified by analyzing data, which was collected from survey research on users of the SNS, with AMOS 18.0 statistical package. As a result, the first, we observed that more important the SNS users would consider the social relation, more useful they would recognize the function of SNS. The second, we observed that faster and easier the users could obtain hourly information in diversity, more useful they would recognize the function of SNS. The third, we observed that more innovative the mobile SNS users would become, more negative they would consider the usefulness of SNS. The fourth, we observed that more important the web based SNS users would consider the social relation, more negative they would consider the usefulness of SNS.
The Framework for the Classification of KM Strategies in Manufacturing Firms Based on Target Costing and IT Infrastructure
Choe, Jong-Min ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 45~70
DOI : 10.5859/KAIS.2012.21.3.45
Based on the usage levels of target costing systems(TCS) and information technology (IT) infrastructure, this study aims to develop a framework useful for classifying four types of knowledge management(KM) strategies in manufacturing firms: process-oriented, product-oriented, mixed and negative. We adopted a multi-methodological approach by mixing both qualitative and quantitative methods. Before developing a framework, through a case study of the H Motor Company in Korea, this paper investigated and showed the functions of TCS in the management of tacit knowledge. The results from the case study indicated that with the use of TCS, a firm can create, transfer, and share diverse kinds of tacit knowledge among employees for the facilitation of process innovation. We also empirically confirmed the four types of KM strategies, and demonstrated the characteristics(i.e., size, total sales, age, and knowledge intensity) of the organizations adopting each strategy.
The Effects of Perceived Information Quality of Mobile Shopping Malls on Smartphone Users' Intention to Use the Shopping Malls
Jung, Won-Jin ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 71~97
DOI : 10.5859/KAIS.2012.21.3.71
There has been an upward trend in smartphone sales in Korea as well as the rest of the world. Even though smartphones are now at the peak of their popularity, the fact that they are somewhat limited in terms of their usages for certain purposes is unexpected. Precisely, compared to PC, smartphones typically have smaller display screens with a lower resolution, which make them difficult to use in general. For instance, when customers search the information about products in mobile shopping malls, due to the smaller screen with a low resolution smartphone users may realize that it is not easy and convenient not only to search the information, but also to read the information they found in the shopping malls. This restriction could become one of reasons that lowers the perceived quality of information in the shopping malls, which in turn leads to the reluctance to use the shopping malls. A comprehensive information systems (IS) literature review found that there has been little empirical evidence on perceived information quality that affects smartphone users' intention to use mobile shopping malls. The purposes of this study is to examine 1) the effects of perceived information quality on smartphone users' intention to use mobile shopping malls and 2) the relationships among behavioral beliefs in the middle of independent and dependent variables, such as information satisfaction, perceived usefulness, and customers' attitude toward mobile shopping. A survey was conducted in March 2012. College students and practitioners took participated in the survey. Structural Equation Modeling(SEM) was used for all data analysis. The results found that there is a strong relationship between perceived information quality and smartphone users' intention to use mobile shopping malls. In addition, this study also showed that there are strong relationships among behavioral beliefs. Further research is expected to validate the findings of this study and apply them in specific contexts.
A Negotiation Method Based on Opportunity Cost in the Trucking Cargo Transportation Market
Kim, Hyun-Soo ; Cho, Jae-Hyung ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 99~116
DOI : 10.5859/KAIS.2012.21.3.99
As a way to allocate lots of orders to many participants for vehicle allocation problem, this study has used an agent negotiation based reverse auction model. This agent negotiation provides coordination functions allowing all participants to make a profit, and accomplishing Pareto optimum solution from the viewpoint of a whole trucking cargo transportation network. In order to build a strategic cooperation relationship based on information sharing, this agent negotiation provides a coordination mechanism in which all the participants including consignors, brokerage firms, and car owners are able to attain their own profits, and also that ensure a competitive market. This study has tried to prove that the result of an agent-based negotiation is the Pareto optimal solution under the present market environment. We established a mathematical formulation for a comparison with the Integer Programming model, and analysing e-Marketplace, structure of shipping expenses and brokerage system in the trucking cargo transportation industry.
A Study on Customers' Impulsive Buying in Social Commerce Environment: The Role of Flow and Emotion
Lee, Bo-Kyoung ; Kim, Byoung-Soo ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 117~136
DOI : 10.5859/KAIS.2012.21.3.117
Given to the prevalence of social commerce such as Groupon, Ticketmonster, and Coupang, it has become critical to understand customer purchasing behavior in social commerce environments. When consumers make purchasing decisions in social commerce, they often act impulsively. This is because social commerce is a deal-of-the-day website that features discounted gift certificates usable at local companies. However, the vast majority of social commerce research has viewed consumer decision-making as a rational process. This study develops a theoretical framework to investigate key drivers of customer's impulsive purchasing in social commerce. This study identifies flow, positive emotion, negative emotion, social commerce attractiveness, and discounted price as the key antecedents of impulsive purchasing. Data collected from 164 users who had prior purchasing experiences with social commerce were empirically tested against the research model using partial least squares analysis. The analysis results indicate that flow plays an important role in facilitating customers' impulsive purchasing in social commerce environments. Moreover, the findings show the exact roles of positive emotion, negative emotion, social commerce attractiveness, and discounted price on consumer's impulsive purchasing.
Using Ontologies for Semantic Text Mining
Yu, Eun-Ji ; Kim, Jung-Chul ; Lee, Choon-Youl ; Kim, Nam-Gyu ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 137~161
DOI : 10.5859/KAIS.2012.21.3.137
The increasing interest in big data analysis using various data mining techniques indicates that many commercial data mining tools now need to be equipped with fundamental text analysis modules. The most essential prerequisite for accurate analysis of text documents is an understanding of the exact semantics of each term in a document. The main difficulties in understanding the exact semantics of terms are mainly attributable to homonym and synonym problems, which is a traditional problem in the natural language processing field. Some major text mining tools provide a thesaurus to solve these problems, but a thesaurus cannot be used to resolve complex synonym problems. Furthermore, the use of a thesaurus is irrelevant to the issue of homonym problems and hence cannot solve them. In this paper, we propose a semantic text mining methodology that uses ontologies to improve the quality of text mining results by resolving the semantic ambiguity caused by homonym and synonym problems. We evaluate the practical applicability of the proposed methodology by performing a classification analysis to predict customer churn using real transactional data and Q&A articles from the "S" online shopping mall in Korea. The experiments revealed that the prediction model produced by our proposed semantic text mining method outperformed the model produced by traditional text mining in terms of prediction accuracy such as the response, captured response, and lift.
The Effect of Social Network Service on Social Capital
Kim, Jong-Ki ; Kim, Jin-Sung ; Lei, Zheng-Jie ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 163~186
DOI : 10.5859/KAIS.2012.21.3.163
With the development of Internet and transition to information society, social capital is expanding to online from the traditional offline context. Especially with the widespread of social network service(SNS) the number of SNS users is increasing sharply and the importance of online social capital has been more and more significant. Most studies on social capital focused on organizational aspects but few studies have payed attention to personal aspect. Empirical studies on the relation between SNS and social capital were seldom conducted in previous studies. Based on the theory of social capital this study targets on the relationship formed through SNS and analyzes on how the relationship affects the perceived social capital. In this study 'self-presentation', 'playfulness' and 'critical mass' are posited as the antecedent factors of 'SNS usage'. This study proposes a research model to examine the effect of 'SNS usage' on 'relationship reinforcement', 'relationship building' and 'perceived social capital'. According to the results of empirical analysis, 'self-presentation', 'playfulness' and 'critical mass' can generate significant positive influence on 'SNS usage'. It also confirms not only the effect of 'relationship reinforcement' and 'relationship building' formed through SNS on 'perceived social capital' but also relationship between the social capital formation and SNS usage. The outcome obtained in this study can be applied in developing SNS services.
The Effects of Inter-Organizational Relationship Characteristics on Supply Chain Agility: From the Supplier Perspective
Chang, Hwal-Sik ; Kim, Chae-Jeong ;
The Journal of Information Systems, volume 21, issue 3, 2012, Pages 187~214
DOI : 10.5859/KAIS.2012.21.3.187
Supply chain management(SCM) helps firms in integrating their business by collaborating with other value chain partners to meet the unpredictable demand of the end user. Agility is the fundamental characteristic of a supply chain needed for survival in turbulent and volatile markets, which are becoming norms as product life cycles shorten and environmental forces create additional uncertainty resulting in higher risk in the supply chain management. Literature reviews reveals various factors that could affect the agility. The objective of this study is to derive interdependence, partnership, quality of information, joint problem solving, modelize the mutual influential relationship between them, and look into the influential relationship influencing the agility. To test the proposed model, we used a data set generated from survey. Date analysis was conducted using 122 respondents. We used structural equation model (SEM) implemented in partial least square(PLS). The results of this study can be summarized as follows. Interdependence had a significant impact on partnership. Partnership had a significant impact on quality of information and joint problem solving. Quality of information had a significant impact on joint problem solving. Quality of information and joint problem solving had a significant impact on agility. This study diagnoses that Inter-organizational relationship characteristics are important for supply chain agility. Inter-organizational relationship characteristics are considered as an essential factor for supply chain agility.