• The Journal of Information Systems
• /
• v.14 no.3
• /
• pp.37-47
• /
• 2005

Mining of association rules is to find associations among data items that appear together in some transactions or business activities. As of today, algorithms for association rule mining, as well as for other data mining tasks, are mostly applied to relational databases. As XML being adopted as the universal format for data storage and exchange, mining associations from XML data becomes an area of attention for researchers and developers. The challenge is that the semi-structured data format in XML is not directly suitable for traditional data mining algorithms and tools. In this paper we present an encoding method to encode XML tree-nodes. This method is used to store the XML data in Value Table and Transaction Table that can be easily accessed via indexing. The hierarchical relationship in the original XML tree structure is embedded in the encoding. We applied this method to association rules mining of XML data that may have missing data.

• The Journal of Information Systems
• /
• v.16 no.3
• /
• pp.21-44
• /
• 2007

Internet privacy is named as one of the major barriers to the expansion and further development of e-commerce. This study is to identify the antecedents to Internet privacy concerns, to investigate the relationship of the antecedents and the perceived trust and to validate Internet privacy's effect on the perceived trust. A conceptual model which identifies Internet literacy and perceived vulnerability as antecedents to Internet privacy concern is proposed and tested based on the sample of 276 Internet users. Empirical findings show that Internet literacy affect Internet privacy concern negatively while perceived vulnerability affect positively. Also perceived vulnerability's effect on and privacy concern's effect on perceived trust has both directional negative support. Implications and further research agenda are provided with the limitation of the study.

• Journal of Information Technology and Architecture
• /
• v.9 no.4
• /
• pp.365-376
• /
• 2012

We examine the value of information sharing in the context of supplier-buyer relationships after controlling for trading partners' opportunism. Given that trading partners' opportunism is not randomly chosen, we explicitly incorporate their self-selection process into our estimation procedure by employing Heckman's self-selection model. According to our analysis, firms that have built safeguards via mutual trust, commitments and information sharing experience less opportunistic risk in supplier-buyer relationships. Our findings also suggest that information sharing has a positive impact on firm performance after controlling for opportunism. Further, firms that are less exposed to trading partners' opportunistic risk have achieved a higher performance than others that are more exposed. Importantly, higher performance for those firms with less opportunistic risk is driven by safeguards in supplier-buyer relationships as well as information sharing. Our findings can be applied for systems analysts to design information systems of supplier-buyer transactions.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.3
• /
• pp.303-309
• /
• 2022

The goal of this research is to examine how credit (loan) can help rural households in Tra Vinh province create jobs in the wake of the COVID-19 outbreak in Vietnam over the last two years. The authors performed a direct survey, using a questionnaire, with 300 customers who had loan records at the Tra Vinh VBSP branch under the loan programs. From January to April 2021, jobs will be available at 07 transaction offices in districts and cities (Cau Ngang; Duyen Hai, Tieu Can, Cang Long, Tra Vinh City, Chau Thanh, Tra Cu). Using the multivariate regression method, the research has found 12 factors affecting the ability to access the employment loan program: Age, Educational Level, Occupation of households, Income, Household land area, Asset, Loan, Interest rates, Loan procedures, Loan purpose, Credit relations. From the above research results, the authors have proposed solutions to improve the ability to access credit to create jobs for each subject group at Viet Nam Bank for Social Policies, Tra Vinh Province in the future.

• Journal of Korea Port Economic Association
• /
• v.29 no.3
• /
• pp.175-207
• /
• 2013

The purpose of this study is to examine the effects of the interdependent partnership between liner shipping companies and port-related service firms on the service quality and transaction performance. The empirical analysis found that sharing information and mutual trust of partnership factor positively affected service quality of the port-related service firms, but the communication had negative effects on it. The interdependence had the interaction effect between the partnership and the service quality. Also, the service quality affected satisfaction of transaction and re-purchasing of the shipping companies. This study shows that the partnership to be formed mutual dependent relationship between shipping companies and the port-related firms improve the service quality of shipping service network and enhance transactional satisfaction of both parties.

• Journal of Distribution Research
• /
• v.14 no.2
• /
• pp.97-125
• /
• 2009

The main purpose of this study is to provide a new approach to conceptualize and measure distrust based on existing researches concerning trust. One of the traditional approach has viewed that trust and distrust are opposed constructs placed on a continuous measure and that trust has positive impact and distrust has negative impact. But this study tries to test empirically that trust and distrust are independent constructs which can be distinguishable, and that both constructs are ambivalent. In addition, this study also tries to provide empirical test that distrust can have a positive effect on transaction relationship. We analyzed the possibility that both trust and distrust can be distinguishable and ambivalent with various antecedents and consequences of two constructs. We also analyzed the effect of distrust on cooperation and functional conflict in order to manifest the positive role of distrust as a relationship variable. The result for testing hypotheses is as follows: First, all hypotheses for antecedents and consequences of trust are significant, but some of hypotheses for antecedents and consequences of distrust are not significant. Second, both constructs can be distinguishable and ambivalent to some extent as the hypotheses for reputation are significant, which is one of the antecedents of distrust and considered jointly with other antecedents, transaction specific asset and environmental uncertainty. Lastly, the result showed the positive role of distrust that has a positive effect on functional conflict.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.1
• /
• pp.95-110
• /
• 2014

The purpose of this research is to further investigate the influence of partnership between with the mediator effect of the social business on the outcome of SCM. IT technology fusion electronic tags, mobile phone, such as cloud computing is also activated in supply chain management of recently, business is faster, if social business is applied here that are smarter, customers or suppliers, there may be communication directly and to further improve the relationship partnership. 150 questionnaires were sent to companies that have introduced SCM to their systems and are operating it. Among 150 questionnaires, 127 collected data were analyzed excluding incomplete 23 data. Statistical methods used in this study were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, path analysis, Scheffe test and Sobel test with Amos 18.0. and SPSS 21.0. The analytical results are as follows. First, the more the reliability, information share, continuous transaction, effects on the social business are getting higher, the interdependence has little impact on it. Second, the impact on the outcome of SCM, partnerships between companies, showed a significant influence the reliability, the share of information, the continuous transaction, but the interdependence was analysed as an uninfluential factor. Third, the social business is analyses to have a mediator effect in relationship between the partnership and the outcome of SCM.

• Journal of Distribution Research
• /
• v.13 no.3
• /
• pp.55-77
• /
• 2008

The purpose of this research is to understand the effects of environmental uncertainty on transaction characteristics, industry factors, and performance in Korean franchising markets. This research tried to investigate both the characteristics of B-to-C service factors and B-to-B industry factors of franchising industry from the perspectives of CLalt, trust, communication, and other important variables. Hypothetical research model was proposed and, by using SPSS and AMOS, research hypotheses and structural equation models were empirically tested and supported. The results showed that environmental uncertainty has negative effects on relationship characteristics and industry characteristics of franchise. Trust showed positive impact on the performance. Managerial implications and limitations of the study results were also discussed. Future research direction was suggested.

• CRM연구
• /
• v.4 no.2
• /
• pp.19-29
• /
• 2011

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems.

• Journal of Digital Convergence
• /
• v.19 no.9
• /
• pp.9-18
• /
• 2021

Constructing the Metropolitan Railway Express (the GTX) may have an impact on consumer confidence and housing sales price located near the planned route. This study looked at how consumers' psychology and housing prices change as the large-scale transport infrastructure plane was planned. Also, it looked at the relationship between consumer sentiment and housing prices to analyze the impact of new transportation facilities inflows. Using a correlation analysis, the relationship between the consumer sentiment index and the actual transaction price of apartments was identified. The impact of GTX on the consumer sentiment index and the actual transaction price of apartments was looked at using the Difference-in-Differences methodology. Our finding shows that the construction plan of a large-scale transportation infrastructure in the metropolitan area affects the sentiment of housing consumption and actual transactions. In a situation where the government is speeding up the construction of a wide-area transportation network such as GTX with the goal of becoming a city where people can commute to downtown Seoul within 30 minutes, policies that can stabilize the housing market in transportation hubs should be suggested.