• 제목/요약/키워드: the Model of Korea Software Industry Association

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전지계산기에 의한 해일을 예측하는 수치계산 Program 개발에 관한 연구 (Study on Application Program Preparation of the High Tide Prediction for the Electronic Computer)

  • 김치홍
    • 물과 미래
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    • 제13권2호
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    • pp.55-62
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    • 1980
  • 태풍 말습전에 바다 연안에서의 해일(고조)을 예측하는 것은 매우 중요한 일이다. 태풍기에 한국에서는 해일피해를 어느 곳인가 매년 입고 있고 이로 인한 피해복구를 위해 정부에서는 막대한 예비비를 소비하고 있다. 우리나라에서는 아직 해일 예측 프로그램이 전무하므로 이 예측 프로그램을 개발하므로써 건설부, 상공부, 농림부 등에 기여할 수 있을 것이다. 최근 고속전자계산기의 발전으로 복잡한 수치해석이 쉽게 할 수 있게 되었다. 그래서 저자는 유체력자에서의 운동 및 연속방정식의 정시차, 정거리의 차분화법을 써서 해일예측 프로그램을 작성하였다. 입력자료로서는 천기도와 현안지점의 외해, 내해의 수심만을 쓰게 했다. 1976년 후란 태풍시를 대상으로 하여 모델로서 포항 내항에 본 프로그램을 적용한 결과 실측치와 거의 일치함으로 알았다.

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패밀리레스토랑의 욕구체계 기반 고객가치가 고객만족, 행동의도에 미치는 영향: 4×4 매트릭스 욕구체계를 중심으로 (Needs-Based Customer Value Effects of Family Restaurants on Customer Satisfaction and Behavior Intention)

  • 김기수;심재현
    • 유통과학연구
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    • 제11권12호
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    • pp.51-62
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    • 2013
  • Purpose - A pre-study on service quality-based customer value is conducted with the path structure (perceived value of service quality→customer satisfaction→behavior intention) based on the hierarchical model of service quality including interaction and outcome quality, physical environment quality and the SERVQUAL model of process quality, namely, reliability, responsiveness, assurance, empathy, and tangibles. In addition, customer value in the service industry is studied by dividing into the two-way structure of utilitarian and emotional values. This study classifies customer values of family restaurants through the customer value model based on the 4×4 matrix needs system of Jeon and Kim (2009). It illustrates the path structure of customer value→customer satisfaction→behavior intention targeting college students in order to generalize the customer value system of family restaurants. Research design, data, and methodology - This study established seven hypotheses based on the relationship between each type of customer value (food quality, convenience, social, emotional, interior quality, service encounter, and purchasing) and customer satisfaction, and the relationship between customer satisfaction and behavior intention. The study data were collected from students in the Department of Business and Tourism at Kimpo University. In all, 294 survey papers were returned of the 300 distributed: 253 pieces were used in the final analysis excluding 41 with insufficient and less effective answers. For statistical analysis, the statistics software package SPSS 15.0 was used. Results - The results of the analysis are as follows: first, the customer values of family restaurants are classified by seven customer values: goods quality value, emotional value, convenience value, social value, purchasing value, service encounter value, and inner quality value. Second, emotional value, purchasing value, service encounter value, and inner quality value had positive impact on customer satisfaction. In particular, purchasing value through being included in functional value was not classified in the previous study; however, this study could classify and generalize this value in a new way. Finally, customer satisfaction had a positive impact on behavior intention. This showed that college students had behavior intention - repurchase intention and word-of-mouth - because they could be content with the food items on the menu and the service provided by employees. Conclusions - The main points based on the above-mentioned results are as follows. This study with college students as study subjects could be classified into four dimensions, namely, generic value, usage value, purchasing value, and physical value and seven sub-dimensions on customer values of family restaurants based on a 4×4 matrix needs system. Then, to confirm its generalization, the path structure of customer value→customer satisfaction→behavior intention was verified. While existing pre-studies used simplified values by classifying restaurant values largely as utilitarian value and hedonic value, this study classified various forms of customer value, and that customer value especially could be expanded by adding purchasing value. As a result, it is shown that marketers need to diversify their customer services because this study proved that customer values can be classified in various ways based on customer needs.

중요도 혼재 시스템의 연구 동향 분석 (Research Trends of Mixed-Criticality System)

  • 윤문형;박준호;김용호;이정훈;구봉주
    • 한국콘텐츠학회논문지
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    • 제18권9호
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    • pp.125-140
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    • 2018
  • 최근 하드웨어 성능의 급속한 발전에 따라 임베디드 시스템은 기존의 단순한 기능만을 수행하던 시스템에서 다양한 기능을 수행하는 시스템으로 변모하고 있다. 이와 같이 서로 다른 중요도를 가지는 소프트웨어들로 구성된 시스템을 중요도 혼재 시스템(MCS: Mixed-Criticality System)이라고 한다. 현재 중요도 혼재 시스템 관련 프로젝트는 관련 산업이 발달한 유럽 및 미국의 주도로 발전 방향을 모색하고 기술적인 주도권을 잡기 위한 노력을 가속하고 있으나, 국내에서의 움직임은 미미한 실정이다. 그러므로 이와 관련된 기술 및 시장 주도권 선점을 위한 다양한 기반 기술의 연구 및 프로젝트의 진행이 시급하다. 본 논문에서는 중요도 혼재 시스템 관련 주요 프로젝트의 연구 및 개발 동향을 분석한다. 먼저, 본 논문에서는 중요도 혼재 시스템의 정의 및 시스템 모델에 대해서 정의한 후, 중요도 혼재 시스템을 구성하는 기반 기술을 분석한다. 뿐만 아니라, 이러한 중요도 혼재 시스템을 연구하는 각국의 프로젝트 동향을 분석한 후, 향후 연구 분야를 논의한다. 본 연구를 통해, 중요도 혼재 시스템 분야의 연구 방향성 설정을 위한 세계 각국의 연구 동향 파악이 가능하며, 군사 시스템에의 접목을 위한 기틀을 마련하고자 한다.

소매유통업의 효율성 분석에 관한 연구 (An analysis of retail business efficiency in Korea)

  • 김순홍;유병국
    • 유통과학연구
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    • 제12권4호
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    • pp.23-30
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    • 2014
  • Purpose - The purpose of this study is to analyze the efficiency of retail businesses by dividing domestic retailers into discount stores, super supermarkets (SSMs), and department stores. It suggests retail-business investment strategies by using data environment analysis (DEA) to analyze how input elements such as store area, parking lot area, number of employees, and sales management expenses for the convenience of customers positively affect business performance measurements such as sales and visiting customers per day. Research Design, Data, and Methodology - The DEA model calculates a ratio of the weighted mean of various inputs to the weighted mean of various outputs and measures the efficiency of a specific decision making unit (DMU). The study included 19 companies (five discount store DMUs, ten SSM DMUs, and four department store DMUs). Because the business elements and sizes of retail store DMUs used in this analysis are different, average per-store input and output variables were used. Data were collected from "The Yearbook of Retail Industry in Korea (2012)." DEA analysis was used to determine differences in efficiency among discount stores, SSMs, and department stores in terms of the business elements of each retail business. It was also used to determine what business elements were excessively invested in by comparing and analyzing efficiency by business elements using SPSS software's ANOVA (Analysis of Variance). Results - The CCR and BCC efficiency analysis found that the efficiency of discount stores is low. We believe that the saturation state of discount stores is a major factor. The ANOVA analysis confirms the VRS hypothesis with a statistically significant difference among the three groups, based on an analysis confidence interval of 95%. CRS and SE were not found to be significantly different among the three groups. As for the post hoc test, which concretely shows differences by group, the Scheffe's multiple comparison analysis test found the average differences between group 1 (discount stores) and group 2 (SSM) to be statistically significant. Conclusions - The DEA efficiency analysis implies that investment in input elements, including store area, parking lot area, and sales management expenses, were excessive in the case of discount stores, while SSMs need to invest more in promotion activities such as gifts, events, and coupons for customer management. Department stores have found that small companies invest excessively in input elements. Department stores need to invest in differentiated shopping mall complexes. This study was limited in acquiring statistical data; various input variables which might have shown more secure customer management and promotional expenses could not be applied. As the study was limited in various aspects of the efficiency analyses because financial analyses of the companies and of causal relationships, including satisfaction and loyalty of visiting customers, were not done, these aspects will be examined in the next study.

The Effect of Service Qualities' Characteristics on Customer Satisfaction and Revisit Intention in Chinese Mid/Low-Priced Hotel

  • HAN, Sun;JUNG, Jin-Sup
    • 산경연구논집
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    • 제12권6호
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    • pp.57-74
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    • 2021
  • Purpose: Before COVID-19 pandemic, Chinese mid/low-priced hotel industry has been steadily growing in recent years, and internal and external competition has been intensifying. Under these circumstances, this study started with a strategic objective to increase the quality of service, thus enabling customer satisfaction and revisit intention. For enhancing the competitiveness of Chinese mid/low-priced hotel business, we plan to establish a model using SERVQUAL, O2O platform, and identify their relationship through empirical analyses. Research design, data and methodology: Through the consideration of the existing literature, this study intended to identify the characteristics of service quality in Chinese mid/low-priced hotels and to consider their impact on customer satisfaction and revisit intention. We also wanted to examine the moderating effect of the O2O platform between the characteristics of service quality and customer satisfaction. A survey was carried out on customers using mid/low-priced hotels in China and empirical analyses were conducted using regression analyses. Results: First, in the hypothesis of service qualities' effects on customer satisfaction were identified with significant positive effects. Second, in the hypothesis of service qualities' effects on revisit intention, "tangibles, reliability, and empathy" have shown significant positive. Third, in the verification of the moderating effect of the O2O platform, there were "positive partial moderating effects" between service qualities and customer satisfaction. Finally, the effect of customer satisfaction on revisit intention was positive significant. Conclusions: In order to satisfy their customers, improvements in service quality should be made first. In addition, customer satisfaction had a positive impact on revisit intention. In order to revitalize Chinese mid/low-priced hotels, differentiation strategy is also needed for specialized customers such as college students, and basically, efforts should be made to optimize the O2O platform. O2O platforms should establish optimal platform construction strategies based on the customer's perspective. After all, in the case of Chinese mid/low-priced hotels, it is necessary to strengthen the construction of the latest hardware infrastructure and O2O platform of software infrastructure, and to improve customers' advanced online and offline experiences. Finally, regarding the hypothesis that was rejected among service qualities' characteristics, we tried to discuss the reason and find the implications of these.