• Industry Promotion Research
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• v.5 no.1
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• pp.21-33
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• 2020

The purpose of this study is to investigate the impact of strategic human resource management perceived by members of SMEs on organizational performance and innovation behavior. In addition, the mediator effect of innovation behavior of organizational members on the relationship between strategic human resource management and organizational performance was verified using the statistical program SPSS 21.0 program. First, the hypothesis 1, strategic human resource management (adoption and compensation, job design, training and career management, participation in decision-making) was adopted by showing positive impact on the positive impact on organizational performance. Second, hypothesis 2, strategic human resource management (recruitment and compensation, job design, training and career management, participation in decision-making) was adopted after demonstrating statistically significant influence on innovation behavior. Third, the innovation behavior perceived by Hypothesis 3 organizational members showed a positive influence on organizational performance. Hypothesis 3 was therefore adopted. Fourth, as a result of verifying the mediating effect of innovation behavior in the relationship between hypothesis 4, strategic human resource management and organizational performance, innovation behavior was analyzed to be partially mediated. In other words, strategic human resource management of organizational members has a direct impact on organizational performance, but it can show a higher positive impact on organizational performance through innovation actions in its performance.

• Culinary science and hospitality research
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• v.18 no.3
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• pp.46-57
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• 2012

This study aims to analyze how the perception of a food purchasing system affects non-financial performance and job satisfaction among the kitchen employees of contract foodservice companies in Taegu Gyeongbuk area. By a convenience method, 197 copies(85%) out of 230 copies of the questionnaire were used for analysis. For data processing, the SPSS WIN Version 14.0 statistical package program was used and the frequency analysis reliability analysis, factor analysis were conducted so the hypothesis was verified through the multiple regression analysis. The results are as follows: First, the perception of a food purchasing system affected job satisfaction as a whole, which was significant in food ingredients management factors of sub-hypothesis1-2. Second, the perception of a food purchasing system affected non-financial management performance, which was significant in food ingredients management factors of sub-hypothesis2-2, and food ingredients supply and demand factors of sub-hypothesis2-3. Third, job satisfaction affected non-financial management performance of a company as suggested by hypothesis 3. From these results, it was found that kitchen employees' perception of a food purchasing system can induce their positive attitude, which exerts positive effects on business performance.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.211-219
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• 2020

The purpose of the study is to identify the structural equation modeling among work-life balance(WLB), organizational commitment, subjective career success, and turnover intentions. The study data came from 199 respondents, as flight attendants working for large domestic airlines. The research tested structural equation modeling by utilizing the SPSS20.0 and AMOS20.0 statistical program. As the results, the study found that WLB would have a negative impact on organizational immersion, and secondly, the hypothesis that WLB has a positive impact on the subjective career success of the flight attendants. Third, the hypothesis that the organization immersion of the flight attendants would have a positive impact on subjective career success, and fourth, the hypothesis that organizational immersion has a negative impact on the turnover. However, fifth, the hypothesis that subjective career success would have a negative impact on turnover was dismissed. Finally, the hypothesis that WLB would have a positive impact on turnover was adopted. Based on the results of this analysis, the research presents highly significant theoretical and practical implications.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.471-481
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• 2020

This study aims to investigate the relationship between the factors of RMR product selection attributes, brand image, and satisfaction as the interest and frequency of use of RMR products of dining out consumers increase recently. Convenience sampling was used for consumers with experience in using RMR products launched in catering companies and restaurants. The investigation period was conducted for about 20 days from August 10, 2020. The final 291 copies were used for research analysis, and the SPSS 21.0 statistical package program was used for hypothesis verification. As a result of the analysis, the hygiene (��=.160), menu (��=.203), and packaging (��=.291) of Hypothesis 1 had a significant effect on reliability. Hypothesis 2's menu (��=.270), convenience (��=.201), and packaging (��=.195) were found to have a significant effect on differentiation. The reliability (��=.328) and differentiation (��=.443) of the brand image of Hypothesis 3 were found to have a significant effect on satisfaction (��=.428). Hygiene (��=.388), menu (��=.229), and convenience (��=.243) of Hypothesis 4 were analyzed to have a significant effect on satisfaction. Lastly, this study is expected to be provided as basic research data related to RMR products, and is intended to be presented as a theoretical basis for the use of marketing and direction in RMR product development of food service companies and restaurants.

• School Mathematics
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• v.9 no.1
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• pp.29-44
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• 2007

The aim of statistics education is to enhance statistical thinking. Variability is the key components of statistical thinking. The research has been reviewed preceding research about variability of data. Proceeding from what has been considered above, this research developed learning materials that investigated the concept of variability as it relates to Freudenthal's context by having students sort a particular context. The research is executed the case study evidently aimed at Junior High School 3rd Grade Student's Understanding of Variability. The study of variability in data can be an important start to reach a testing of statistical hypothesis; students reduce data and draw graphs by relating probability distribution to relative frequency and normal distribution. Thus, this study offers basic materials into developing both contents and methods of education need to consider with this sense of purpose held by students to achieve this goal.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.181-187
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• 2021

Recently, various air pollution factors have been measured and analyzed to reduce damages caused by it. In this process, many missing values occur due to various causes. To compensate for this, basically a vast amount of training data is required. This paper proposes a statistical techniques that effectively compensates for missing values generated in the process of measuring ozone, carbon dioxide, and ultra-fine dust using a small amount of learning data. The proposed algorithm first extracts a group of meteorological data that is expected to have positive effects on the correction of missing values through statistical information analysis such as the correlation between meteorological data and air pollution level factors, p-value, etc. It is a technique that efficiently and effectively compensates for missing values by analyzing them. In order to confirm the performance of the proposed algorithm, we analyze its characteristics through various experiments and compare the performance of the well-known representative algorithms with ours.

• Journal of Distribution Science
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• v.13 no.5
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• pp.103-111
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• 2015

Purpose - When it comes to first impressions of family restaurants, people basically think of the following factors: cozy, a refreshing space, indoor lighting, atmospheric music, the best-quality service through mutual interactions with employees, birthday events, follow-up customer management, brand image, and many others. Focusing on such family restaurants characteristics, with consumption experience and customer satisfaction determined as mediator variables, this study looks into the selection factors that affect customer loyalty when choosing a family restaurant. Subsequently, the study conducts an empirical analysis of these selection factors with the greatest influence. Research design, data, and methodology - This study analyzed 200 total surveys of family restaurant customers including college students, workers, housewives, and others. The survey was conducted over two weeks in May 2014. For statistical processing, SPSS 21 was used for factor analysis and reliability analysis as well as AMOS for structural equation analysis. In terms of a variable that would influence either consumption experience or customer satisfaction at the restaurants, the study introduced the concept of customer equity. The study designed a model based on a hypothesis developed using the following factors: customer encounter service value, customer convenience value, brand equity, relationship equity, and other factors defined as components of customer equity by Rust et al. (2000) determined as independent variables as well as with customer experience and customer satisfaction set as mediator variables. The hypothesis, after all, assumed that customer loyalty would be positively (+) influenced. Results - The analysis results from the study reported that brand value, customer encounter service value, and relationship value have positive (+) effects on consumption experience and customer satisfaction. However, as for customer convenience value, this turned out not to have a statistically significant influence on consumption experience and customer satisfaction. In regard to a relation between consumption experience and customer satisfaction, the results showed that the former affects the latter, and in terms of intervening variables, both of these appeared to have a positive (+) effect on customer loyalty. Conclusions - This study suggests that family restaurants should look for strategies that focus on how to promote customer relationships. For example, restaurants could try birthday events or discount events to achieve this goal. Since the study ended up realizing relatively low levels of suitability and statistical significance, the path of the study changed. After all, in order to increase suitability and statistical significance, the study had to eliminate factors such as service quality and others and for this reason the study was unable to conduct the analysis as initially planned. In addition, the data samples of the research were mainly gathered from students, which made it hard to say that the analysis was carried out on samples from every different group. Future research should analyze the characteristics of each group of customers for factors affecting customer satisfaction and customer loyalty in the family restaurant chain.

• Korean Security Journal
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• no.16
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• pp.243-264
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• 2008

Investigation about training of Private Security in Korea has managed status of training and understanding of issue mostly, systematic analysis about transfer effect as well as learning and determinant of training is insufficient. Consequently this investigation research to examine the effect of training program for newly appointed private security guards to learning and transfer then, to analyze factor through incumbent private security guard-oriented hypothesis testing under article 13, section 1 of the security guard law. To grasp effect factors of learning and transfer, this dissertation establishes research model and research hypothesis through domestic and foreign studies and then theoretical as well as positive literatures consideration in the first place. Conclusion of this investigation through techniques mentioned above and data analysis is as follows. First of all, the personal characteristics, training characteristics, work environment, difference of transfer as well as learning are verified in accordance with Sociodemographic characterist of Private Security Guard. After then, there is a difference of great import. Secondly, the effect of personal characteristics of Private Security Guard to the transfer is inspected. As a result, there is a difference of significance statistical. Thirdly, the effect of training characteristics of Private Security Guard to the transfer is inspected. Consequently, there is a difference of import statistical. The following thing, subsequent to inspection about the effect of work environment of Private Security Guard to transfer, statistical difference of import is.

• Journal of Korean Society for Geospatial Information Science
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• v.3 no.1 s.5
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• pp.123-137
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• 1995

The digital information of Land is very important as the basis of geo-spatial information system. And the necessity of it is also increasing. But these days, every other institute that is needing digital map is seperately digitalizing lsnd information. So we need the stadard of accuracy evaluation and the method of hypothesis test for it. In this study, we check the standards of foreign countries and compare and analyze with our country's. After doing it, we suggest the direction for standard of digital map and statistical methods for testing accuracy evaluation about total maps that is digitized. Using hypergeometric distribution for considering consumer risk and producer risk, the statistical test can be for deciding optimal sampling map numbers by the total map and the agreement of contacting parties.

• Communications for Statistical Applications and Methods
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• v.19 no.1
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• pp.107-115
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• 2012

Yoo and Cook (2007) developed an optimal sufficient dimension reduction methodology for the conditional mean in multivariate regression and it is known that their method is asymptotically optimal and its test statistic has a chi-squared distribution asymptotically under the null hypothesis. To check the effect of dimension used in estimation on regression coefficients and the explanatory power of the conditional mean model in multivariate regression, we applied their method to several simulated data sets with various dimensions. A small simulation study showed that it is quite helpful to search for an appropriate dimension for a given data set if we use the asymptotic test for the dimension as well as results from the estimation with several dimensions simultaneously.