• Title/Summary/Keyword: Industry Correlation Analysis

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A Study on the Effect of Firm's Patent Activity on Business Performance - Focuss on Time Lag Analysis of IT Industry (기업의 특허활동이 경영성과에 미치는 영향에 관한 연구 - 통신 산업의 시차분석을 중심으로)

  • Lee, Joon Hyuck;Kim, Gab Jo;Park, Sang Sung;Jang, Dong Sik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.2
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    • pp.121-137
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    • 2013
  • Now days, firm's technology capability is recognized as important factor to forecast and to evaluate firm's business performance. There are many efforts to develop useful indicators by applying patent information that includes concrete description about technology. Many previous studies analyzed relationship between patent indicators and firm's performance. But they didn't consider time gap between a point of firm's invention activity and a point of firm's performance improvement. They didn't considered a character of industrial fields either. To overcome these limitations, we selected IT industry for target analysis industry. Time-series patent data and financial data from 41 American IT firms between 2000 and 2011 were used to analyze. In this study, We empirically analyzed subsequent effect of patent indicators on firm's business performance by using correlation analysis and regression analysis.

The Effects of Corporate Social Responsibility in the Foodservice Industry upon Customers' Perceived Service Quality Using DINESERV (외식기업의 사회적 책임 활동이 고객의 인지된 서비스 품질(DINESERV)에 미치는 영향)

  • Jung, Hyo-Sun;Yoon, Hye-Hyun
    • Korean journal of food and cookery science
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    • v.25 no.1
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    • pp.16-24
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    • 2009
  • This study suggested a theoretical research system on the effects of corporate social responsibility in the foodservice industry upon perceived service quality. Self-administered questionnaires were completed by 509 customers and the data were analysed by frequency, factor analysis, reliability analysis, correlation analysis and multiple regression analysis. The primary results are as follows - Three corporate social responsibility (CSR) factors were obtained - economic responsibility, legal.ethical responsibility and philanthropic responsibility. In addition, five factors were obtained from the factor analysis of perceived service quality - tangibility, reliability, responsiveness, assurance and empathy. Correlation analysis showed a significant correlation between the CSR factors and the customers' perceived service quality factors. Multiple regression analysis, to verify the hypothesis, showed that CSR in the foodservice industry had a significant influence upon customers' perceived service quality; therefore, the research hypothesis was adopted. CSR, which had an effect on tangibility out of the minutely-perceived service quality factors, was indicated in the order of economic responsibility, legal ethical responsibility and philanthropic responsibility. Responsiveness, reliability, and assurance were influenced by legal ethical responsibility, economic responsibility and philanthropic responsibility, respectively, in order. Also, empathy was surveyed to be influenced by legal ethical responsibility, philanthropic responsibility and economic responsibility in order. Consequently, customers' evaluations of perceived service quality may be inferred to have positive effects when the customer recognizes whether the foodservice company performs social responsibility.

The Cost Efficiency Analysis of JeollaNamdo Food Industry (전라남도 식품업체의 비용 효율성 분석)

  • Qing, Cheng Lin;Na, JuMong;Chang, Seog Ju;Im, Chang Uk
    • Journal of Korean Society for Quality Management
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    • v.43 no.4
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    • pp.533-544
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    • 2015
  • Purpose: The purpose of this study is to analyze the cost efficiency of food industry in JeollaNamdo. And this study is focused on the correlation between the economic efficiency of food industry and its cost efficiency, based on the analysis of 372 food companies' data in JeollaNamdo in 2012. Methods: DEA cost minimization is the measurement of the cost efficiency of JeollaNamdo food industry in 2012. In this study, the CCR and BBC models have been employed to analyze the decomposing cost efficiency-technical efficiency, allocative efficiency, and scale efficiency respectively. And the Spearman rank correlation and Wilcoxon signed rank test also have been employed to check the correlation and difference between the ranking orders based on the efficiency scores respectively. Results: For the CCR model, mean cost efficiency was found to be 0.084(0.54 for allocative efficiency and 0.19 for technical efficiency). For the BCC model, mean cost efficiency was found to be 0.252(0.453 for allocative efficiency and 0.564 for technical efficiency). Average scale efficiency was found to be 0.38. In analyzing the results, this study argues that the optimal way to improve cost efficiency is by reducing inputs proportionally and changing their combination. Conclusion: The efficiency scores of the two models show high correlation, whereas, the differences between them are also found to be significant. Hence, it should be cautious to select a suitable model when we do the research.

An Analysis of Economic Effects of The Cloud Computing Industry (산업연관분석을 이용한 클라우드 컴퓨팅 산업의 경제적 파급효과 분석)

  • Kim, Dong Wook;Ban, Seung Hyun;Leem, Choon Seong
    • Journal of Information Technology Services
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    • v.17 no.3
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    • pp.37-51
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    • 2018
  • Recently, cloud computing market is growing geometrically in both private and public area, and many global companies in various domains have developed and provided cloud computing services. In such situation, Korean government made multiple plans for domestic cloud computing industry. However, most research institutes have focused on market size and status information, which makes actual effectiveness of cloud computing service hard to recognize. In this study, we define cloud computing Industry by rearranging Input-Output table published by the Bank of Korea to use Input-Output Analysis. The Input-Output Analysis was devised in 1963 by Leontief and it is used in many fields of study until now. It produces various coefficients that are able to identify production-inducing effect, value-added effect, labor-inducing effect, front and rear chain effect. The analysis results show that production-inducing effect, front and rear chain effect of cloud computing industry is low compared to other industries. However, cloud computing Industry possesses relatively high value-added effect and labor-inducing effect. It is because industry magnitude of cloud computing is smaller than other industries such as manufacturing, chemical industries. The economic effects of the cloud computing industry are not remarkable, but this result is significant to emerging markets and industries and presents the fresh way of analyzing cloud computing research field.

The Effect of Job Stress of Beauty Industry Employees on Turnover Intention

  • Eun-Jung SHIN
    • The Journal of Industrial Distribution & Business
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    • v.15 no.3
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    • pp.31-46
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    • 2024
  • Purpose: Employees in the beauty industry, where emotional labor is essential, are exhausted due to stress from excessive working hours and low pay, and ultimately consider changing jobs. This study analyzed the structural relationship of turnover intention according to job stress of beauty industry employees. We tried to present implications by verifying the methods necessary for conflict management in the beauty industry from an empirical point of view. Research design, data and methodology: This study selected 518 workers in the beauty industry as a sample. Frequency analysis, validity and reliability analysis, factor analysis, correlation analysis, and regression analysis were performed using SPSS (Statistical Package for Social Science) WIN23.0. Results: The moderating effect of work experience, a moderating variable, was found to be significant in the effect of job stress of beauty industry employees following changes in the employment environment on the dependent variable, turnover intention. Conclusion: This study revealed that changes in the employment environment negatively affect the job stress of beauty workers. To reduce the job stress of employees in the beauty industry, a systematic response at the organizational level will be necessary. In addition, it is expected that it will help establish differentiated strategies such as compensation system, service training, and service management to reduce job stress.

A Analysis on the Spatial Features of the Neighborhood Trade Area using Positive Spatial Autocorrelation Method (공간자기상관기법을 이용한 근린상권의 공간특성분석)

  • Jung, Dae-Young;Son, Young-Gi
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.1
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    • pp.141-147
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    • 2009
  • A analysis on the spatial features is required for exploratory spatial data analysis of information about space location(population ecological factor, social ecological factor) to manage the store factors, the service industry, etc. Therefore, the purpose of this study is to provide correlation analysis method between the types of service trade using dependence between spatial objects on the geographical space and statistical correlation and to analyze the spatial features through the deduction of correlation analysis between the types of the neighborhood trade area.

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Attack Path and Intention Recognition System for detecting APT Attack (APT 공격 탐지를 위한 공격 경로 및 의도 인지 시스템)

  • Kim, Namuk;Eom, Jungho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.1
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    • pp.67-78
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    • 2020
  • Typical security solutions such as intrusion detection system are not suitable for detecting advanced persistent attack(APT), because they cannot draw the big picture from trivial events of security solutions. Researches on techniques for detecting multiple stage attacks by analyzing the correlations between security events or alerts are being actively conducted in academic field. However, these studies still use events from existing security system, and there is insufficient research on the structure of the entire security system suitable for advanced persistent attacks. In this paper, we propose an attack path and intention recognition system suitable for multiple stage attacks like advanced persistent attack detection. The proposed system defines the trace format and overall structure of the system that detects APT attacks based on the correlation and behavior analysis, and is designed with a structure of detection system using deep learning and big data technology, etc.

Analysis of Correlations between Mineral Contents in Waters and Sensory Characteristics of Coffee (물의 미네랄 함량과 커피 관능 특성에 관한 상관 분석)

  • Eo, Hee-Ji;Kim, Joo-Shin
    • Culinary science and hospitality research
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    • v.23 no.4
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    • pp.105-115
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    • 2017
  • Water is an essential ingredient to brew coffee. Mineral contents in the water can affect both water quality and taste quality of coffee. The effects of minerals in the water on sensory characteristics of coffee were investigated in different water samples (A: Arisu, B: Claris, C: Spring water, D: Samdasoo, E: Evian, Distilled water as control). Based on the results of quantitative descriptive analysis (QDA), there were statistically significant (p<0.01) in flavor, acidity, bitterness, sweetness, body and aftertaste according to different water samples used to brew coffee. The canonical correlation analysis of minerals (Ca, Mg, Na, K) and taste (acidity, bitterness, sweetness) indicated that there were highly correlated in the relationship between bitterness and Mg content. A strong negative relationship was shown between bitterness and acidity, sweetness. A result of preference test using hedonic scale showed an inverse linear relationship between taste quality and total mineral contents.

Association between Construction Management Areas and Automation Technologies based on Correlation Analysis (상관관계 분석을 통한 건설관리 분야와 자동화기술간 연관성 분석)

  • Mun, Seong-Hwan;Cho, Kyu-Man;Kim, Tae-Hoon
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.11a
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    • pp.191-192
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    • 2019
  • The construction industry is in the process of changing from the existing labor-intensive production system to a construction automation system using advanced information and communication technologies. Accordingly, in order to identify key research areas and utilization technologies in the field of construction automation, this study collected the latest 17 years (2000-2016) of papers published in International Symposium on Automation and Robotics in Construction (ISARC) and conducted a correlation analysis between the construction management areas and automation technologies based on the keyword frequency. As a result, the BIM, WSN, and Augmented reality were extracted as the technology keywords with high correlation with various areas of construction management.

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The credit market of Russia: the assessment of condition, the development of tendency

  • Vyborova, E.N.
    • East Asian Journal of Business Economics (EAJBE)
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    • v.5 no.2
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    • pp.12-37
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    • 2017
  • The analysis of results of the market of loans granted to legal entities, the physical persons are provided in the work. The assessment of condition of industry segments of the market of the credits of legal entities is carried. The results of assessment of the market of the credits of physical persons by types of the granted loans are provided. The correlation and regression analysis on the industry segments of crediting of legal entities is carried out. The dynamics of development of debt on the industry segments of crediting is determined. The results show that: Hypothesis 1. The amount of the issued credits to the legal entities steadily in-creases on all industries of economy. Communication between the industry segments of market very high. Hypothesis 2. Crediting of physical persons is characterized by relative stability. The structure of overdue debt repeats the structure of the issued credits to the physical persons.