• 융합경영연구
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• 제11권6호
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• pp.1-8
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• 2023

Purpose: In the era of the Fourth Industrial Revolution, individuals equipped with fundamental understanding and practical skills in artificial intelligence (AI) are essential. This study aimed to validate the effectiveness of AI education for enhancing AI literacy among business major student. Research design, data and methodology: Data for analyzing the effectiveness of the AI Fundamental Education Program for business major students were collected through surveys conducted at the beginning and end of the semester. Structural equation modeling was employed to perform basic statistical analyses regarding gender, grade, and prior software (SW) education duration. To validate the effectiveness of AI education, seven variables - AI interest, AI perception, data analysis/utilization, AI projects, AI literacy, AI self-efficacy, and AI learning persistence - were defined and derived. Results: All seven operationally defined variables showed statistically significant positive changes. The average differences were observed as follows: 0.47 for AI interest, 0.32 for AI perception, 0.37 for data analysis/utilization, 0.27 for AI projects, 0.25 for AI literacy, 0.39 for AI self-efficacy, and 0.41 for AI learning persistence. Statistically, AI interest exhibited the most substantial average difference. Conclusions: Through this study, the applied AI education was confirmed to enhance learners' overall competencies in AI, proving its utility and effectiveness in AI literacy education for business major students. Future research endeavors should build upon these results, focusing on ongoing studies related to AI education programs tailored to learners from diverse academic backgrounds and conducting continuous efficacy evaluations.

• Journal of Information Processing Systems
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• 제16권2호
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• pp.377-393
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• 2020

Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offline-to-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014-2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.

• Journal of Information Technology Applications and Management
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• 제18권4호
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• pp.55-79
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• 2011

This study attempts to examine the factors affecting the introduction of e-Business systems and also, to assess the effects of various e-Business systems on firm performance. Empirical analysis is carried out with firm data of 2009, which is collected from Firm Activity Survey of Statistics Korea. Firm performance is measured by four indexes; operating income per employee, value added per employee, return on assets, and return on sales. Empirical results indicate that a firm is more likely to introduce any e-Business system as its size and its assets per employee are larger and as its ratio of labor compensations to operating costs is lower. Additionally, a firm with higher skill levels and more fruitful management experiences is more likely to have any e-Business system. In general, it appears that the presence of e-Business, especially enterprise resources planning, has positive effects on the firm performance.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.780-787
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• 2007

The Information and Communication Technologies (ICT) sector is undergoing a fundamental transformation. Determinant factors in this transformation process are deregulations and technological advancements. From the value chain perspective, industry convergence plays the most crucial role in the transformation of the established telecommunications and media industries. The objective of this paper is to validate the impact of convergence on the business performance using empirical data. To identify the various effects driven by industry convergence, we analyzed the relationships between firm's degree of convergence and the business performance using regression analysis. From the empirical result with the 2002-2005 data, it was found that the convergence across ICT sectors improves the business performance measured by Tobin's q significantly and this is only a recent phenomenon. These results are consistent with the conjecture that higher degree of convergence is becoming more associated with higher market value.

• 한국전자거래학회지
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• 제9권4호
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• pp.1-17
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• 2004

본 연구는 국내 전자상거래 시장규모 예측모형의 개발을 위해 통계청의 자료를 취합하며 이를 분석하여 각 부분별 - BtoB, BtoG, BtoC -전자상거래 시장규모에 적합한 통계적 예측모형을 개발하였다. 마지막으로 개발된 예측모형에 대한 타당성 검토를 수행하며 최종적으로 가장 적절한 국내 전자상거래 시장규모 예측모형을 제안하였다.

• Asia pacific journal of information systems
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• 제32권1호
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• pp.70-91
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• 2022

Organizations today depend and thrive on timely, accurate and strategically relevant information. Business analytics (BA) holds the key to many of these issues. This paper validates a model on how the usage of BA leads to operational efficiency. We identified the factors of basic analytical usage from the Business Capacity Maturity Model (BCMM). The scope of the study is restricted to the Information Technology Infrastructure and Application management domain. A survey was conducted among the managers of the IT companies in Bengaluru, India. The results showed a significant influence of data-oriented culture and BA tools and infrastructure on BA usage. We found a significant influence of BA usage and pervasive use on operational efficiency. The speed to insight is still not practised in organizations. The awareness level of analytical skills in organizations is very low.

• Fashion, Industry and Education
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• 제14권2호
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• pp.47-59
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• 2016

This research is concerned with comparing fluctuation in the Korean and the US economies in order to ascertain the degree to which the former is influenced by changes in the latter. The aim of this research is to explore business cycles, to examine consumer expenditure in Korea and the US, and to discover the relationships between business fluctuation indexes and overall expenditure. Statistical data from the national statistics of Korea and the US during period from 1990 to 2015 were used. The instrument included a measure of GDP, unemployment rates, GDP deflator rate (inflation rates), and household income and expenditure. For the average annual household expenditures, food, apparel and transportation expenditure data were compared across the two countries. Data were collected separately from different (though comparable) sources and were analyzed using relatively straight forward statistical techniques. It was found that Korean and the US consumers' income and expenditure were greatly affected by economic fluctuations. Total expenditure and the expenditures for food and transportation were much influenced by business fluctuation in the US, whereas, the expenditures for apparel were much influenced by business fluctuation in Korea.

• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.103-109
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• 2018

This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.

• 동아시아경상학회지
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• 제10권3호
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• pp.115-125
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• 2022

Purpose - Sports leadership is frequently used as a useful comparison for understanding traits like teamwork and motivation in the business world. Based on the results of numerous studies, this research provides a critical assessment of the current state of knowledge in sport leadership research using methodological advances from other disciplines such as business and economics Research design, Data, and methodology - This research selected the systematic review analysis as its research design. The review analysis is a minimal set of elements for reporting in reviews by evidence. The present author included numerical data with confidence ranges for the most crucial outcomes if the review contained meta-analyses. Result - According to a study in sports, transformational leadership has a positive effect on company success. Communication and commitment, two possible mediators, may strengthen the impact of transformational leadership on cohesiveness. Prior researchers found that intrinsic drive serves as a bridge between transformational leadership and performance. Conclusion - This research concludes that the articles used for data analysis in this study examined the value of sports leadership for business leaders in a number of sports, including athletics and handball, among others. There is a good chance that different sports will provide different insights on the value of sports leadership for CEOs.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.87-98
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• 2022

Purpose: The is study aimed to examine the impact of consumer ethnocentrism on reasoned action and brand equity on Generation Z in Vietnam. Research design, data and methodology: A quantitative study was undertaken on 302 Generation Z members. The data for the study was collected using a Google Form-based questionnaire from December 2021 to January 2022. Descriptive statistics, Cronbach's alpha, and structural equation modeling were among the data analysis techniques employed. The results: The results show that consumer ethnocentrism has a direct positive impact on reasoned action (subjective norms and attitude toward domestic goods) as well as an indirect positive impact on brand equity, including brand awareness, brand quality, and brand image. Major findings: According to the findings of this study, governments should continue to push propaganda and advocacy programs, call for national pride and encourage home consumers to support and use domestic goods. Domestic brands must strengthen their ties to the community and invest in community-oriented programs that promote domestic consumption. Vietnam's domestic fashion brands need to promote the exploitation of community-oriented and nationalistic content to call on domestic consumers to support them to consume domestic brands.