• Journal of Digital Convergence
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• v.12 no.2
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• pp.263-270
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• 2014

In cloud environment, business intelligence data warehouse is used for decision making and enterprise policy. But if new system is added in cloud environment, much cost and time is needed due to heterogenous characteristics in data integration. This paper suggests a data cleaning system for business intelligence in cloud environment. The proposed system minimizes the effect of local system when it integrates distributed system using XMDR-DAI. And this system provides standardized information to generate information of data warehouse in real time. Also the proposed system saves cost and time by integrating the data without a change of existed system. And it can improve quality of information by generating coherent information through data extraction and cleaning work in real time.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.165-172
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• 2020

Industrial Revolution means the improvement of productivity through technological innovation and has been a driving force of the whole change of economic system and social structure as the characteristic of technology as the tool of this productivity has changed. Since the first industrial revolution of the 18th century, productivity efficiency has been advanced through three industrial revolutions so far, and this fourth industrial revolution is expected to bring about another revolution of production. In this study, the demand for the introduction of artificial intelligence(AI) technology has been increasing in various business fields due to the rapid development of ICT technology, and the classification of HS(harmonized commodity description and coding system) items has been decided using artificial intelligence technology, which is the core of the fourth industrial revolution. And it is enough to construct HS classification system based on AI technology using inference and deep learning. Performing the HS item classification is not an easy task. Implementation of item classification system using artificial intelligence technology to analyze information of HS item classification which is performed manually by the current person more accurately and without any mistake, And the customs administrations, customs offices, and customs agencies, it is expected to be highly utilized in the innovation of trade practice and the customs administration innovation FTA origin agent.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.939-947
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• 2016

As the number of legacy database systems and the size of data to manipulate have been vastly increased, it has become more difficult and complex to analyze characteristics of data. To improve the efficiency of data analysis and help administrators to make decisions in business life, BI(Business Intelligence) system is used. To construct data warehouse and cube from legacy database systems makes it easy and fast to transform raw data into integrated and categorized meaningful information. In this paper, we built a BI system for an University administration. Several source system databases were integrated to data warehouse to build data cubes. The implemented BI system shows much faster data analysis and reporting ability than the manipulation in legacy systems. It is especially efficient in multi dimensional data analysis, nonetheless in single dimensional analysis.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.105-120
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• 2007

The primary purpose of this study lies in developing an intelligence level measurement model which can be applied to information home appliances. To accomplish the study purpose, the literature on computer engineering and intelligence is comprehensively researched and critical elements necessary for measuring the intelligence of smart home appliances are extracted. Then an intelligence level measurement model is derived, and the model is validated by several academic and practical experts using Delphi technique. The measurement model developed in the study, on the one hand, can provide users with some objective standards to evaluate the intelligence level of smart home appliances. On the other hand, it can help home appliance product developers or related service providers decide the target intelligence level of the products or services more specifically. Consequently, the model can contribute to the revitalization of the smart home appliance industry as a whole.

• The Journal of Industrial Distribution & Business
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• v.9 no.5
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• pp.93-104
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• 2018

Purpose - This study is to investigate the relationship among emotional intelligence, self-efficacy and job stress of foreign life insurance consultants focusing on the mediating effect of self-efficacy. Regarding job security, in general foreign life insurance companies in Korea have more severe working conditions in terms of required contract performance. For foreign life insurance consultants, they are assumed to need higher level of emotional intelligence and self efficacy to meet the conditions. In this study, focus is cast on these aspects. Research design, data, and methodology - Basically the research is conducted upon questionnaires responded by foreign life insurance consultants. That is, data are collected from 255 sample of insurance consultants who work for a foreign owned life insurance company. The Questionnaire measure the level of emotional intelligence, self-efficacy and job stress of insurance consultants. The data are analyzed using pearson's correlation coefficient and hierarchical multiple regression, descriptive statistics, t-test, ANOVA, Durbin-Watson test. Results - The general characteristics of respondents are gender, age, marital status, education level, income monthly, career length, change jobs no, working day per week, call no. per week, meeting no. with client per week, contract regularity, contract no. per month and cancellation contract per year. The mean of emotional intelligence is 2.63, self-efficacy is 3.44 and job stress is 2.20. Emotional intelligence is composed with mean value of self emotion appraisal(3.93), other's emotion appraisal(3.78), regulation of emotion(3.29) and use of emotion(3.52). The mean of self efficacy is composed with mean value of self-confidence(3.41), self-regulated efficacy(3.59) and preference task difficulty(3.30). The job stress is composed with mean value of job requirement(2.61), lack of job autonomy(1.99), conflict of personal relations(1.99), job instability(2.38), organizational system(2.19) and inappropriate compensation(2.07). There is a significant positive correlation between emotional intelligence and self-efficacy. The emotional intelligence and self-efficacy are significantly negative correlation with job stress. The self-efficacy is showed a mediating variable between emotional intelligence and job stress. Conclusions - To decrease job stress level, foreign life insurance company should find the factors to improve the emotional intelligence and self-efficacy of life insurance consultants, and develop appropriate plans using a mediating role of self- efficacy between emotional intelligence and job stress.

• Knowledge Management Research
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• v.3 no.1
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• pp.93-106
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• 2002

Knowledge management is a recent area in business administration that deals with how to leverage knowledge as a key asset and resource in modern organizations. Also, Knowledge systems are the single most important industrial and commercial offspring of the discipline called artificial intelligence. A Case Based Reasoning(CBR) system solves new problems by recalling adapting previous solutions. This paper presents the results of a recent empirical study. Furthermore this study proposes a CBR Methodology designed to manage knowledge of Hana company under e-business.

• Korean Journal of Artificial Intelligence
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• v.8 no.2
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• pp.11-16
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• 2020

Among the innovative companies leading the era of the 4th industrial revolution, the world's largest Internet company is Google. Google has grown by providing convenient services such as Internet search, Android smartphone operating system, and video. Now, Google is leading the global IT industry by continuing to develop in various new business fields based on open service platforms, artificial intelligence, and big data. In this study, an exploratory discussion was conducted on Google's success factors and future directions. The purpose of the research is to understand the development process of the IT field from the successfactors of Google and to analyze the development direction of the future IT industry. Google's success factors were its open platform policy and successful acquisitions of external companies. In fact, most of the services Google offers come from companies that have acquired and acquired them. In addition, there was a corporate culture that values and supportsthe spirit of challenge and autonomy of members who are not afraid of failure. Based on this study's review of Google's direction analysis, the follow-up study will infer the direction of the IT industry in depth and look at the future technologies that IT majors need to prepare.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.1455-1458
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• 2006

비즈니스 인텔리전스(Business Intelligence)라는 용어는 기업 환경에서 매우 포괄적으로 사용되는 업무범위이다. 그러나 이를 이해하는 첫 번째 접근법은 데이터에 대한 분석적 접근을 행해야 만 가능하다는 것이며, 일반적으로 현황 보고서 조회 등과 같은 조회 시스템을 통하여 제공되는 현상 파악을 초월하여 데이터가 가지고 있는 여러 가지 속성을 의미 있게 이해하는 절차를 포함하는 것이다. 이러한 접근법에서 기업의 기간계 시스템등과는 확연히 다른 속성을 가지고 있다. 전사적 자원관리 시스템(ERP)은 기업의 중요 정보를 실시간으로 유지하기 위한 거래 시스템에서부터 기업의 운영을 위한 내부 회계, 영업, 서비스 시스템을 총괄하는 지원 능력을 가지게 된다. 그러나 ERP에서 생성되는 정보의 특성은 현시점에서 가정 정확한 트렌젝션 데이터의 속성을 가지게 되며, 업무적으로는 프로세스를 통합하는 기능을 지원받을 수 있게 된다. 이에 반하여 비즈니스 인텔리전스 애플리케이션은 현상을 초월하는 비즈니스 담당자의 질문에 답할 수 있는 시스템으로 구분 할 수 있다.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.257-263
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• 2022

The objective of this study was to see how artificial intelligence applications affected organizational innovation in Jordanian commercial banks. Both independent and dependent variables were measured in three dimensions: expert systems, neural network systems, and fuzzy logic systems for artificial intelligence applications variable. Product innovation, process innovation, and management innovation for the organizational innovation variable. To achieve study objectives, a questionnaire was developed and distributed to a sample of one hundred fifty-three managers in Jordanian commercial banks, who were selected according to the simple random sampling method. Except for the neural network systems dimension, which comes in at an average level, the study indicated that there is a high level of organizational innovation and artificial intelligence applications. Furthermore, the findings revealed that artificial intelligence applications have a significant impact on organizational innovation in Jordanian commercial banks, with the most important artificial intelligence application being a fuzzy logic system. The study suggested keeping track of technological advancements in the field of artificial intelligence applications and incorporating them into banking operations by benchmarking with the best commercial bank practices and allocating a portion of the budget to technological applications and infrastructure development, as well as balancing between technology use and information security risks to ensure client privacy is protected.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.4
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• pp.124-133
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• 2005

The purpose of this study is to analyze the effectiveness of process approach for business performance of a company certified with ISO 9000 : 2000 quality management system. The result of this empirical research were identified as follows. Documentation and an intelligence process appeared with a preference matter in an influence to reach to a business performance of a company through the organization which established a process approach. It reveals that the process approach of quality management system might affect positively for customer satisfaction, product qualify, financial results and cost reduction.