• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.111-112
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• 2010

The purpose of this research is to analyze the business process in which Korea Land & Housing Corporation utilizes spatial DB of NSDI(National Spatial Data Infrastructure) for compensation service. By the analysis of spatial data connected with compensation service, the influence of the matching error among spatial data on the business process for the service is identified and it is required to draw a direction for improvement in it.

• The Journal of Society for e-Business Studies
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• v.7 no.3
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• pp.75-91
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• 2002

As B2B (Business to business) develops swiftly, at home as well as in other advanced countries, plans for activating Electronic business are made and proceeded in a national viewpoint. However, it is essential task for the construction, advancement and activation of B2B framework to make an efficient search for differently built -up data from B2C and thus to look for optimal business partner suitable for his/her own business. For this, in the last Aug. of 2001, government has also referred to ebXML, the exchange model for electronic business data based on XML, as a suggestion for B2B framework. The purpose of this study is to develop search system for efficient choice of business partner and this will play an important role for data processing and competitiveness strengthening of small and medium enterprises. Meanwhile, this system is built up by using systemic characteristics registered in ebXML Registry/Repository and ‘question-expanding’ searching ways based on the particulars of business profiles for both objectiveness and maximum efficiency of search result.

• The Journal of Bigdata
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• v.8 no.1
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• pp.35-47
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• 2023

It is crucial to develop effective and efficient big data analytics methods for problem-solving in the field of business in order to improve the performance of data analytics and reduce costs and risks in the analysis of customer data. In this study, a big data-driven data analysis system using artificial intelligence techniques is designed to increase the accuracy of big data analytics along with the rapid growth of the field of data science. We present a key direction for big data analysis systems through missing value imputation, outlier detection, feature extraction, utilization of explainable artificial intelligence techniques, and exploratory data analysis. Our objective is not only to develop big data analysis techniques with complex structures of business data but also to bridge the gap between the theoretical ideas in artificial intelligence methods and the analysis of real-world data in the field of business.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.105-119
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• 2022

This study aims to develop a concept based on empirical research on improving optimal business performance. This goal is achieved by examining the relationship between variables of entrepreneurial orientation, talent management, market orientation, and business performance. The construction of the relationship between research variables, namely entrepreneurial orientation, talent management, on business performance is mediated by market orientation on handicraft businesses in Indonesia. The sampling method was used to collect data from 145 businessmen in Indonesia, using surveys and questionnaires. Data was collected using a survey technique carried out from June 2020 to December 2020. The data obtained was analyzed using the PLS Pro 19. This study developed 9 hypotheses that were tested directly, indirectly, and through mediation. This study has five findings. First, Entrepreneurship Orientation does not directly affect Business Performance. Second, Entrepreneurship Orientation also has a significant direct effect on Talent Management and market orientation. Third, Talent Management and market orientation have a direct and significant impact on business performance. Fourth, market orientation mediates the effect of entrepreneurial orientation on business performance. Fifth, talent management mediates the effect of entrepreneurial orientation on business performance. The results show that entrepreneurial orientation mediated by talent management and market orientation can improve creative industry business performance for the better.

• Asian Journal of Business Environment
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• v.2 no.2
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• pp.5-11
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• 2012

Purpose - This research examined the relationship between business orientation and business goals and satisfaction of Korean-American business owners. Research design/data/methodology - Entrepreneurial Orientation (EO) and Small Business Orientation (SBO) were the theoretical constructs underlying this research. The responses from 200 Korean-American business owners who participated in the 2005 National Minority Business Owner Surveys were used for data analysis. Results - Noneconomic business goal was positively related to business owners' SBO tendency, and those with a SBO tendency had the higher business satisfaction than those with EO. Conclusions - The findings suggest that policy makers should develop business assistance programs that correspond with owners' business orientation.

• Journal of Information Science Theory and Practice
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• v.12 no.3
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• pp.49-62
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• 2024

Strategy monitoring is essential for business management and for administrators, including managers and executives, to build a data-driven organization. Having a tool that is able to visualize strategic data is significant for business intelligence. Unfortunately, there are gaps between business users and information technology departments or business intelligence experts that need to be filled to meet user requirements. For example, business users want to be self-reliant when using business intelligence systems, but they are too inexperienced to deal with the technical difficulties of the business intelligence systems. This research aims to create an automatic matching framework between the key performance indicators (KPI) formula and the data in database systems, based on ontology concepts, in the case study of Prince of Songkla University. The mapping data schema with ontology (MapDSOnto) framework is created through knowledge adaptation from the literature review and is evaluated using sample data from the case study. String similarity methods are compared to find the best fit for this framework. The research results reveal that the "fuzz.token_set_ratio" method is suitable for this study, with a 91.50 similarity score. The two main algorithms, database schema mapping and domain schema mapping, present the process of the MapDS-Onto framework using the "fuzz.token_set_ratio" method and database structure ontology to match the correct data of each factor in the KPI formula. The MapDS-Onto framework contributes to increasing self-reliance by reducing the amount of database knowledge that business users need to use semantic business intelligence.

• Journal of Distribution Science
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• v.18 no.8
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• pp.103-112
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• 2020

Purpose: Business has been completely revolutionized by the Internet. This study seeks to determine the impact of e-business on activity extension and business performance. It aims to examine the actual stage of e-business, help others to apply the knowledge gained, and help in expanding new researches in this field. Research design, data and methodology: The data utilized in this study was obtained from survey. In total of 60 questionnaires accepted as valid out of 80 distributed, data was analyzed using the SPSS, and methods used were correlation and reliability analyses. Results: The study result shows that e-business has a significant positive impact on activity extension and the performance of business in Kosovo. The findings also revealed that there is a correlation between the various online marketing strategies and consumer satisfaction. The development of e-business for Kosovo is an important factor in participation in the world market, where there is a growing need for innovation and modernization of business. Conclusions: The study recommends that there should be raised awareness among business owners and managers as well as the general public. Moreover, there should be a proper application of marketing strategies to e-business.

• The Journal of Society for e-Business Studies
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• v.13 no.3
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• pp.51-66
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• 2008

The Business Process Management System(BPMS) has received more attentions as companies increasingly realize the importance of business processes. However, traditional BPMS has focused mainly on correct modeling and exact automation of process flow, and paid little attention to the achievement of final goals of improving process efficiency and innovating processes. BPMS usually generates enormous amounts of log data during and after execution of processes, where numerous meaningful rules and patterns are hidden. In the present study we employ the data mining technique to find out useful knowledge from the complicated process log data. A data model and a system framework for process mining are provided to help understand the existing BPMS. Experiments with the simulated data demonstrate the effectiveness of the model and the framework.

• The Journal of Industrial Distribution & Business
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• v.12 no.8
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• pp.21-32
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• 2021

Purpose: With the advent of the era of the 4th industrial revolution, called a new technological revolution, the necessity of fostering future talents equipped with AI utilization capabilities is emerging. However, there is a lack of research on AI education design and competency-based education curriculum as education for business major. The purpose of this study is to design AI education to cultivate competency-oriented AI literacy for business major in universities. Research design, data and methodology: For the design of AI basic education in business major, three expert Delphi surveys were conducted, and a demand analysis and specialization strategy were established, and the reliability of the derived design contents was verified by reflecting the results. Results: As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived from this were data structure understanding and processing, visualization, web scraping, web crawling, public data utilization, and concept of machine learning and application. Conclusions: The educational design content derived through this study is expected to help establish the direction of competency-centered AI education in the future and increase the necessity and value of AI education by utilizing it based on the major field.

• International Commerce and Information Review
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• v.7 no.2
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• pp.49-74
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• 2005

E-business has received much attention from entrepreneurs, executives, investors, and industry observers recently. The Internet is flourishing and the World Wide Web is growing at an exponential rate In recent years, information has become the critical commodity needed for success in the changing global economic order. Accordingly, business organizations have come to the conclusion that they require an extensive data repository in order to acquire a competitive advantage in a dynamically change market. This rich assortment of data must further be delivered and deliverable enterprise-wide in a secure and cost-efficient manner. Information technology(IT) has created the E-business as a vitally important mechanism for the storage, dissemination, and even the analysis data. The E-business has become increasingly important to a growing number of organizations in Korea in relatively short order. The present study is an attempt to develop a more through understanding of the potential and actual impact of the E-business on organizational functions and activities. Expecially, it also consists of an effort to assess the impact of the E-business on productivity. The research also addresses the issue of how the E-business affects productivity and shapes or modifies business activities. The results of literature review and study revealed that middle managers believe that the extent of the E-business use is significantly related to improvements in overall organizational functions and activities. While communication, decision-making, productivity, work collaboration, and business activities are all enhanced by E-business use, productivity appears to be most dramatically improved by Intranet use.