• Journal of Information Technology Applications and Management
• /
• v.12 no.2
• /
• pp.29-43
• /
• 2005

The paper presents the EBORD (Extended Benchmark for Object-Relational Databases) benchmark, which is an extension of the BORD benchmark for object-relational databases. The EBORD benchmark is developed to evaluate the database common functions that should be supported in modern database systems. Besides the 36 test queries already defined in the BORD benchmark, totally 22 test queries in five categories are newly defined in order to measure the index-relevant performance issues and database import capabilities. The EBORD benchmark also features scalability, use of a synthesized database, and a query-oriented evaluation. In order to show the feasibility of the proposed benchmark, we implement it with two commercial database systems. The experimental results and analyses are also reported.

• The KIPS Transactions:PartB
• /
• v.8B no.5
• /
• pp.533-538
• /
• 2001

In this paper, we extend FARGs single mode attribute to multiple attributes for real image application and present a new CBIR using FMARG(Fuzzy Multiple Attribute Relational Graph), which can handle queries involving multiple attributes, not only object label, but also color, texture and spatial relation. In the experiment using the synthetic image database of 1,024 images and the natural image database of 1.026 images built from NETRA database and Corel Draw, the proposed approach shows 6~30% recall increase in the synthetic image database and a good performance, at the displacements and the retrieved number of similar images in the natural image database, compared with the single attribute approach.

• Journal of Distribution Science
• /
• v.12 no.11
• /
• pp.5-13
• /
• 2014

Purpose - This study traces the determinants of key account management performance in the garments industry in Bangladesh. The key account management approach involves significant challenges for marketers to manage their strategically important customers and use this approach as a strategic weapon in their selling efforts. This study examines three categories of determinants of key account management performance including operational variables, organizational variables, and relational variables by exploring data from 100% export oriented readymade garments companies in Bangladesh. Research design, data, and methodology - Data were collected from 30 readymade garments manufacturers, considering a company as a unit of analysis. Using the data, instrument validity and reliability and, subsequently, data normality were examined using the Statistical Package for the Social Sciences (SPSS) software to isolate the important determinants of key account management performance. Results - The instruments are reliable and the data are reasonably normal. Conclusion - The study explored and validated the adapted instruments of various operational, organizational, and relational antecedent factors of key account management performance, most of which were thus far ignored.

• Journal of Information Technology Applications and Management
• /
• v.25 no.1
• /
• pp.47-66
• /
• 2018

The development of IT is transforming from the way it has been working face-to-face in performing projects to the online collaboration method using web-based tools. Therefore, various online collaboration tools are being developed and commercialized, including 'Google Docs', which is called the online office. Using these online collaboration tools, users can share documents with other users and collaborate in real time. Therefore, in recent years, companies and educational institutions have been using online collaboration tools to carry out tasks and projects that require collaboration. Various factors can affect the project performance satisfaction through online collaboration tools. In this regard, it is necessary to confirm the factors affecting the satisfaction of the project performance. However, there is not enough empirical research on the satisfaction of the performance through the online collaboration tool. Therefore, this study will investigate the mechanism of project performance satisfaction through online collaboration tool considering the Individual characteristics of the project performing subject, the relationship characteristics between the project members, and the system characteristics of the collaboration tool.

• The Journal of Industrial Distribution & Business
• /
• v.10 no.4
• /
• pp.33-41
• /
• 2019

Purpose - This study investigates the effect of strategic orientation on market performance with emphasis on the mediative role of innovation capability, economic value and relational value in food producer companies. Research design, data, and methodology - In this descriptive study, a population of 244 managers and employees of Food industry companies in Tehran were investigated. The respondents filled a questionnaire on strategic orientation, innovation capability, economic value, relational value and market performance, during January to August 2018. Reliability and validity were evaluated by Cronbach's alpha coefficient and confirmatory factor analysis. To analyze the data, Spearman's correlation coefficient and structural equation modeling were used by SmartPLS software. Results - Effects of competitor's orientation and technology orientation on all three intermediary variables were positive and significant. The effect of customer orientation on innovation and economic value was positive and significant, but the effect of customer orientation on the value of the relationship was insignificant. Furthermore, entrepreneurial orientation has a positive and significant effect on innovation capability. The effects of three mediator variables on market performance are positive and significant. Conclusions - As the relationship between the mediator variables and market performance were positive and significant, companies should have a comprehensive plan of focus on strengthening these variables.

• The KIPS Transactions:PartD
• /
• v.11D no.3
• /
• pp.509-518
• /
• 2004

Recently there has been some efforts to add XML full-text retrievals and XML updates into new standardization of XML queries. XML full-text retrievals plays an important role in XML query languages. of like tables in relational model an XML document has complex and unstructured natures. We believe that when we try to get some information from unstructured XML documents a full-text retrieval query is much more convenient approach than a regular structured query XML update is another core function that an XML query have to have. In this paper we propose an inverted index to support XML updates and XML full-text queries in relational environment. Performance comparisons exhibit that our approach maintains a comparable size of inverted indexes and it supports many full-text retrieval functions very well. It also shows very stable retrieval performance especially for large size of XML documents. Foremost our approach handles XML updates efficiently by removing cascading effects.

• Journal of KIISE:Databases
• /
• v.31 no.4
• /
• pp.432-443
• /
• 2004

As the XML data has been widely used in the Internet, it is necessary to store and retrieve the XML data by using DBMSs. However, relational DBMSs suffer from the model difference between graph structure of the XML data and table forms in relational databases. We propose an ORDBMS-based DTD-dependent XML data management system Xing. Xing stores XML data in a DTD-dependent form in an object database. Since the object database schema has a graph structure and supports multi-valued attributes, mapping from an XML data model and queries into an object data model and OQLs is a simple problem. For rapid storing of large quantities of the XML data, we use SAX parser with customized Xing-tree which requires a small memory space compared with the DOM-tree. Xing also returns the query result in an XML document form. We have implemented the Xing system on top of UniSQL object-relational DBMS for the validity checking and performance comparison. For XML genome data from GenBank, and experimental evaluation shows that Xing can provide significant performance improvement (maximum 10 times) compared with the relational approach.

• Journal of Distribution Research
• /
• v.8 no.1
• /
• pp.1-19
• /
• 2003

Given the recent trend in business markets to seek and conscientiously develop long-term relationships, it has become increasingly important to understand why such long-term relationships are developed and how they are maintained. Despite their obvious importance, the antecedent conditions and processes of long-term relationships between industrial buyers and suppliers have not been systematically studied. In this research, I report a study of the antecedents of industrial buyer-seller relationships and the relational performance. What kinds of factors contribute to the development of long-term relationships\ulcorner How do these factors influence the corporate performance in the business markets\ulcorner The primary motivation of this study was drawn from an interest in answering these research questions. Managerial implications of the study results are also discussed.

• Journal of the Korean Society for information Management
• /
• v.21 no.2
• /
• pp.189-210
• /
• 2004

The purpose of this study is to evaluate the performance of XML retrieval based on ORDBMSs(Object-Relational Database Management Systems) approach. This paper describes indexing and retrieval methods for XML documents and the methodologies of experiments at INEX(Initiative for the Evaluation of XML retrieval). Like any other traditional information retrieval experiment, the test collection was consists of documents, topics/queries, task, relevance assessments and evaluation. EXIMA$^{TM}$ Supply, a kind of native XML DB based on ORDBMS technologies, is used for this experiment. Although this approach has many benefits, for example, no delay in storing and searching XML documents. but it showed relatively disappointed retrieval performance at INEX 2002. This result may caused since the given topics had to be decomposed and modified to be processed by the XPath processor, and during this modification the original meaning of topics can be changed inevitably and some important information nay pass over.r.

• Journal of Korean Institute of Industrial Engineers
• /
• v.38 no.3
• /
• pp.198-207
• /
• 2012

In product or process parameter design, the case of multiple performance characteristics appears more commonly than that of a single characteristic. Numerous methods have been developed to deal with such multi-characteristic parameter design (MCPD) problems. Among these, this paper considers three representative methods, which are respectively based on the desirability function (DF), grey relational analysis (GRA), and principal component analysis (PCA). These three methods are then used to solve the MCPD problems in ten case studies reported in the literature. The performance of each method is evaluated for various combinations of its algorithmic parameters and alternatives. Relative performances of the three methods are then compared in terms of the significance of a design parameter and the overall performance value corresponding to the compromise optimal design condition identified by each method. Although no method is significantly inferior to others for the data sets considered, the GRA-based and PCA-based methods perform slightly better than the DF-based method. Besides, for the PCA-based method, the compromise optimal design condition depends much on which alternative is adopted while, for the GRA-based method, it is almost independent of the algorithmic parameter, and therefore, the difficulty involved in selecting an appropriate algorithmic parameter value can be alleviated.