• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.2
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• pp.54-63
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• 2016

As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.6
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• pp.295-306
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• 2016

The purpose of this paper is both to analyze research trends and to predict industrial flows using the meta-data from the previous studies on data quality. There have been many attempts to analyze the research trends in various fields till lately. However, analysis of previous studies on data quality has produced poor results because of its vast scope and data. Therefore, in this paper, we used a text mining, social network analysis for time series network analysis to analyze the vast scope and data of data quality collected from a Web of Science index database of papers published in the international data quality-field journals for 10 years. The analysis results are as follows: Decreases in Mathematical & Computational Biology, Chemistry, Health Care Sciences & Services, Biochemistry & Molecular Biology, Biochemistry & Molecular Biology, and Medical Information Science. Increases, on the contrary, in Environmental Sciences, Water Resources, Geology, and Instruments & Instrumentation. In addition, the social network analysis results show that the subjects which have the high centrality are analysis, algorithm, and network, and also, image, model, sensor, and optimization are increasing subjects in the data quality field. Furthermore, the industrial connection analysis result on data quality shows that there is high correlation between technique, industry, health, infrastructure, and customer service. And it predicted that the Environmental Sciences, Biotechnology, and Health Industry will be continuously developed. This paper will be useful for people, not only who are in the data quality industry field, but also the researchers who analyze research patterns and find out the industry connection on data quality.

• Culinary science and hospitality research
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• v.2
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• pp.209-235
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• 1996

This study assesses consumer's eating-out pattern for Foodservice industry in Korea. Foodservice industry has become increasingly important because many businessman are looking it difficult to develop successful business as a consequence of the rapid growth in Foodservice industry in Korea This exploratory study originally nation-wide surveyed a 1450 consumer over the country. A research was conducted from July 1, to July 10, 1996 using as its subject domestic consumer over the country. The data obtained from the returned questionnaires was coded and transcribed for statistical analysis. The Statistical Package for social science program (SPSS) was used for computer analysis of the data. Findings indicated the problems of management structures, managerial techniques, and laggard counter measure against the korean government's open-door policy for dining-out industry. It is found that taste, F/B price, atmosphere are considered important in choice of restaurant. And korean consumer think it is that restaurant location, physical, evidence, quality of service, Ads of mouth and cleanliness. With the importance of dining-out industry to the business, economic, and social development of korea, it is imperative to bridge this gap for sustained growth and development. Moreover, this study for advancement and improvement through concrete and multi-directional data collection and in-depth analysis of consumer's eating-out pattern realities is required.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.5
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• pp.583-589
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• 2019

One of the core pillars of the Fourth Industrial Revolution is the innovation of the manufacturing industry. From the beginning, the 4th Industrial Revolution appeared in Germany under the concept of 'Industrial 4.0', which means a radical change in the manufacturing industry that can provide super intelligent product production and services based on artificial intelligence and big data. Since manufacturing innovation is a change in the industrial character of the entire nation, the initial role of government is important. Korea also has various policies related to the 4th Industrial Revolution, but there are still various problems to be solved. Therefore, this paper monitors and analyzes the public R&D projects of the advanced countries on manufacturing innovations in the background mentioned above, and through this, the policy implications are drawn.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.735-740
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• 2021

The purpose of this study is to assess how accounting conservatism is practiced in the Jordanian pharmaceuticals and medical industry. It assesses the association between accounting conservatism and intellectual capital (IC) in this industry. This study measures IC performance using the market price per share less book value. Accounting conservatism is measured using the book-to-price ratio, and the data was collected from company annual reports and the Amman Stock Exchange (ASE) website. The data was collected for the period of six years (2014 to 2019). The sample was made up of four companies in the industry listed in the ASE. The data was analyzed using the SPSS program though the ordinary least squares regression model to assess how accounting conservatism is associated with IC. The findings indicate a negative association with companies having higher IC performance and reporting lower accounting conservatism. IC is applied more in these companies, although it might be lower than in other companies in other sectors. This study provides empirical evidence on how IC is applied in the industry and how it might be negatively associated with accounting conservatism. Findings indicate the need for more effective policies to promote recognition of intangible assets in the sector.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.509-516
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• 2021

This study aims to find out and measure the level of factors affecting the applicability of environmental management accounting (EMA) in Vietnamese automobile industry enterprises. Data was collected using both quantitative and qualitative methods. First, in general research, qualitative methodology was used to find out factors (variables) that can impact the possibility of implementing EMA in Vietnamese automobile enterprises. Second, in detailed research, all variables are measured using a quantitative method by collecting data through sampling and sending questionnaires. 500 questionnaires were sent to automobile enterprise managers and only 352 questionnaires met the criteria for the data analysis. The study used a mixed research design approach- a procedure for collecting, analyzing, and "mixing" both quantitative and qualitative research and methods in a single study to understand the research problem. Results show that 7 factors affect the possibility of implementing EMA in Vietnamese automobile industry enterprises. These factors are coercive pressure, normative pressure, mimetic pressure, business environmental uncertainty, environmental strategy, benefits when applying EMA, and task complexity. Based on the results of the study, promoting EMA in the automotive industry should depend mainly on the role of governmental departments.

• East Asian Journal of Business Economics (EAJBE)
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• v.12 no.1
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• pp.1-11
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• 2024

Purpose: This study empirically examines the relations among corporate performance, technology, and corporate capabilities for service companies to find factors that could affect the competitiveness of the service industry. Most study on technology in the service industry have been conducted in developed countries, and yet there exist not sufficient empirical reviews. Research design, data and methodology: This paper, using rare empirical data, examines Korea's service industry and aims to make an academic and managerial contribution to the understanding of the relation between corporate competence and performance. This study analyzes 567 Korean Domestic Companies in Non-manufacturing and Service Industry, using the 2020 Detailed Survey of Venture Businesses (2500) data. Frequency analysis, correlation analysis, and regression analysis are performed. Results: Results show, Hypothesis 1 that internal competence has positive influence on technological strength, is supported. However, Hypothesis 2 that technological strength mediates between internal competence and business performance, Hypothesis 3 that external competence has positive influence on technological strength and Hypothesis 4 that technological strength mediates between external competence and business performance are all partially supported/rejected. Conclusions: This study suggests that technological strength is an important factor that affects both market share and sales. And mediating effect of technology strength emphasized in market share. However, in managing sales, more cautious approach and a more detailed analysis are needed..

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.1
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• pp.89-97
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• 2014

Recently, spread of Smartphones caused activation of mobile services, because of that Big Data such as clouding service able to proceed with large amount of data which are hard to collect, save, search and analyze. Many companies collected variety of private and personal information without users' agreement for their business strategy and marketing. This situation raised social issues. As companies use Big Data, numbers of damage cases are growing. In this Thesis, when Big Data process, methods of analyze and research of data are very important. This thesis will suggest that choices of security levels and algorithms are important for security of private informations. To use Big Data, it has to encrypt the personal data to emphasize the importance of security level and selection of algorithm. Thesis will also suggest that research of utilization of Big Data and protection of private informations and making guidelines for users are require for security of private information and activation of Big Data industries.

• Korean Journal of Computational Design and Engineering
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• v.10 no.4
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• pp.274-283
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• 2005

Product data quality (PDQ) is a real and significant issue in today's manufacturing environment. In the Korean automotive industry, much of the design work takes place with the support of software tools, such as CAD systems. Although many designers frequently encounter quality problems regarding product data, there is no investigation into the present state of CAD usage and PDQ activities before. The Korean automotive industry is responsible for about 11.1 percent of the total value of manufactured goods in Korea and 7.9 percent of employment in manufacturing. A study performed by the Research Triangle Institute showed that imperfect interoperability imposes at least $\$1$ billion per year on the members of the U.S. automotive supply chain. The trends toward concurrent engineering and out-sourcing have elevated the importance of high-quality product data and efficient product data exchange. This paper shows the results from a survey of PDQ conducted on seven 1st tiers among members of the Korean automotive supply chain.

• Asia-Pacific Journal of Business
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• v.12 no.2
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• pp.161-174
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• 2021

Purpose - The purpose of this study was to examine the recent popular consumption trend, the hocance phenomenon, using social media big data. The study intended to present practical directions and marketing measures for the recovery and growth of the hotel industry after COVID-19 pandemic. Design/methodology/approach - Big data analysis has been used in various fields, and in this study, it was used to understand the hocance phenomenon. For three years from January 1, 2018 to December 31, 2020, we collected text data including the keyword 'hocance' from the blog and cafe of NAVER and Daum. TEXTOM and UCINET 6 were used to collect and analyze the data. Findings - According to the results of analysis, the words such as 'hocance', 'hotel', 'Seoul', 'travel', 'swimming pool', 'Incheon', 'breakfast', 'child' and 'friend' were identified with high frequency. The results of CONCOR analysis showed similar results in all three years. It has been confirmed that 'swimming pool', 'breakfast', 'child' and 'friend' are important when deciding on the hocance package. Research implications or Originality - The study was differentiated in that it used social media big data instead of traditional research methods. Furthermore, it reflected social phenomena as a consumption trend so there was practical value in establishing marketing strategies for the tourism and hotel industry.