• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.43-57
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• 2007

This paper considers the technological competitiveness of aircraft infra industries that are bases of the aircraft industry development in Korea. We performed focus group interviews to aircraft industry specialists and classified the aircraft infra industries by eight fields: metallurgical assembly, general machinery, precision instruments, materials & parts, communication appliances, computer, semi-conductor/ electronic component, electronics. Through the United States patents analysis for the G7 countries and Korea during 1995-2006, we identified the technological specificities and competences of each country. RTA(Revealed Technology Advantage) index and CII(Current Impact Index) are used to examine the technological specificity and technological competence respectively. Finally, we introduced TCI(Technological Competitiveness Index) which could reflect quantitative level as well as qualitative level of patents for each aircraft infra industry. The results show that Korea has occupied the technological competitiveness in the semi-conductor and electronic component industry out of eight aircraft infra industries, and achieved a competitive edge in communication appliance industry in the mid 2000s.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.235-240
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• 2009

This study examines the competitive strategy of service quality in financial industry. Service quality has been suggested as the approach for service organizations to be service and customer oriented. Recently, the issue of internal service quality has been one of topics widely discussed in financial industry. The purpose of the current study is to examine the internal service quality which is believed to increase such organizational performances as customer satisfaction, retention and revenue. Internal service quality index is used to measure service quality in service industry. In this paper, the methodology for measuring the degree of service quality which has been adopted in service quality research area was used. This paper proposes internal service quality index in financial industry. In this paper, we show the application method of internal service quality index.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.300-309
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• 2016

The beauty industry relies heavier upon the specialized labor of beauty industry employees than any other industry. Beauty industry employees directly meet their clients and are required to provide services with extremely delicate care. The sense of happiness of employees working at the interface of service provision matters most importantly for beauty industry growth. In this study, the correlation among beauty industry employees' resilience, happiness index and job satisfaction was tested under hypotheses. As a result, their resilience was found to have a significant effect on happiness index and job satisfaction; happiness index, on job satisfaction and resilience; and job satisfaction, on resilience and happiness index. Consequentially, it was found that when individual happiness increased, their job satisfaction moved up along with job performance. In this sense, for the further development of beauty industry, it is deemed necessary to consider methods to improve the sense of happiness of beauty industry employees.

• East Asian Journal of Business Economics (EAJBE)
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• v.5 no.4
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• pp.67-74
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• 2017

Purpose - The main purpose of this study is to contribute to the elevation of producers' production at various levels by proposing the creation of producer improvement indexes that can be used for the successful 6th industrialization of Korean agribusiness based on the Kano model and has synergistic effects on the development of the 6th industry through scientific researches. Research design, data, methodology - To this end, this study derived better and worse index from the same estimation of Timko's customer satisfaction index as in the evaluation charts used in previous researches and theoretical studies on the Kano model. Results - In this paper, we suggested that the formula for producing PSCI Index be applied to yield the producer improvement index in the 6th industry, in order to draw SIPPI. Conclusions - If this suggestion is realized, then a lot of researchers will be supported to more systematically study producers, and it is expected to contribute to the development of the 1th industry, a basis for the successful 6th industry. Moreover, the central government and municipalities are expected to provide a variety of clues for applying various policies for successful agribusiness.

• Journal of Web Engineering
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• v.20 no.3
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• pp.795-816
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• 2021

The existing industry evaluation method utilizes the method of collecting the structured information such as the financial information of the companies included in the relevant industry and deriving the industrial evaluation index through the statistical analysis model. This method takes a long time to calculate the structured data and cause the time delay problem. In this paper, to solve this time delay problem, we derive monthly industry-specific interest and likability as a time series data type, which is a new industry evaluation indicator based on unstructured data. In addition, we propose a method to predict the industrial risk index, which is used as an important factor in industrial evaluation, based on derived industry-specific interest and likability time series data.

• Korean Journal of Construction Engineering and Management
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• v.15 no.4
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• pp.107-118
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• 2014

Electrical Construction industry uses Construction industry's statistical data for business outlook. Because there are not electrical construction business view's statistical data. It has own unique characteristic which is different from construction industry. So it must have a electrical construction Business Index. This study was focused on developing the business index of electrical construction business. Electrical construction business index consists of electrical construction composite Index(ECI) and the electrical construction business survey index(EBSI). This study experimentally analyzes the business views of electrical construction industry in 2/4 quarter of 2014. The leading Index of ECI indicates -0.4% compared with 1/4 quarter of 2014, coincidence index also shows that electrical construction industry's business cycle is in an economic downturn. EBSI is 83.5 in 2/4 quarter of 2014, down from 95.2 in 1/4 quarter of 2014. It means that electrical construction company has a pessimistic prediction. As a result we know that the Business Index of Electrical Construction Business shows similar results. It is expected to make contribution for electrical contractors to establish management strategies and prepare responses to economic changes by providing information about economic trends of electrical construction business and forecasting future economy.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.381-401
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• 2014

This study proposes the accurate economic effect (employment inducement coefficient, hiring inducement coefficient, index of the sensitivity of dispersion, index of the power of dispersion, and ratio of value added) of Korea software industry by analyzing the inter-industry relation using the modified inter-industry table. Some previous studies related to the inter-industry analysis were reviewed and the key problems were identified. First, in the current inter-industry table publishedby the Bank of Korea, the output of software industry includes not only the output of pure software industry (package software and IT services) but also the output of non-software industry due to the misclassification of the industry. This causes the output to become bigger than the actual output of the software industry. Second, during rewriting the inter-industry table, the output is changing. The inter-industry table is the table in the form of rows and columns, which records the transactions of goods and services among industries which are required to continue the activities of each industry. Accordingly, if only an output of a specific industry is changed, the reliability of the table would be degraded because the table is prepared based on the relations with other industries. This possibly causes the economic effect coefficient to degrade reliability, over or under estimated. This study tries to correct these problems to get the more accurate economic effect of the software industry. First, to get the output of the pure software section only, the data from the Korea Electronics Association(KEA) was used in the inter-industry table. Second, to prevent the difference in the outputs during rewriting the inter-industry table, the difference between the output in the current inter-industry table and the output from KEA data was identified and then it was defined as the non-software section output for the analysis. The following results were obtained: The pure software section's economic effect coefficient was lower than the coefficient of non-software section. It comes from differenceof data to Bank of Korea and KEA. This study hasa signification from accurate economic effect of Korea software industry.

• Journal of Korean Society for Quality Management
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• v.36 no.4
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• pp.102-116
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• 2008

The most widely used models to study the quality of service are the SERVQUAL and SERVPERF models that measure service mechanisms. This paper is to estimate service efficiency and consistency for Retail Industry. We tried to measure the service quality and overall satisfaction by using DEA and PCI, degree of combination and top2box which is a little bit different methodology from traditional ones. Rather than using the usual method of converting the service quality index by mean value, the Service Efficiency Index(SEI) and Service Quality Consistency Index(SQCI) are used to measure the efficiency and consistency level, which in turn can be used as the new service quality indices. The result of SEI and SQCI show the efficiency frontier in retail industry that 6 DMUs are analyzed relative efficient DMUs, 12DMUs are inefficient DMUs and retail Industry consistency level appeared low(0.35-0.47) Also, there is a significant difference in terms of efficiency and consistency in the each retail industry. Finally, we showed the summarized result as the Effi-Con Matrix.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.3
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• pp.79-86
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• 2010

Causing by economic stagnation and financial management difficulty of the domestic small and medium business company, the actual condition which enlarges the plan of politic funds increased from the government. The government authority as the SBC (small and medium business promotion corporation) evaluates the domestic small and medium business company, and directly executes a governmental politic funds. Financial analysis is a important factor of enterprise evaluation among various valuation bases. However because of applying to the whole domestic manufacturing industry on financial evaluation, Current financial evaluation index effectively cannot reflect the feature of a regional industry. A whole manufacturing industry index considers a standard for the comparison evaluation of domestic manufacturing industry and compares with the other industries and the world-wide nation industry change, But, there is a difference from indexes of corresponding industry in specific regions. This paper proposes a model of evaluation index for the efficient execution of politic funds. We considers three manufacturing industries for proposed model which are shipbuilding, machine tool and airline industries in Gyeongsangnam-do region.

• Land and Housing Review
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• v.11 no.3
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• pp.33-37
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• 2020

The aim of this paper is to scrutinize the relation between Business Survey Index and Industrial Production Index in construction industry, stated in another way, the relation between CEO's expectations of future business status and real business activity in construction industry. Previous papers on this research area have been examined the relation between released BSI and released IPI. However, this paper focuses 'the relation between released BSI and the long-run component of IPI' and 'the relation between released BSI and the short-run component of IPI'. The first step is to decompose released IPI by unobserved component model. The long-run component of IPI is set up as a random walk process. And short-run component is set up as a stationary AR(1) process. The findings are as follows. First, released BSI Granger causes unidirectionally released IPI. Second, there exists one-way Granger causality from released BSI to long-run component of IPI. Third, Granger causality does not exist between released BSI and 'short-run component of IPI'. BSI increases IPI in the second or third month. These findings of this paper mean that CEO's expectations may influence industrial production in construction industry.