• Journal of the Korea Society of Computer and Information
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• v.23 no.10
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• pp.189-201
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• 2018

This study analyzed the effect of core competence of supervisor on the satisfaction, loyalty, business performance of franchisees and business performance of franchisor. And the purpose of this study is to solve the most problematic issues in franchise business such as poor sales of franchisee, inadequate measures for activating sluggish stores, closing rate increase of franchisee, dispute between a franchisee and franchisor. The results of this study will be used as data for the success of Franchisor's business operation and for the change and development of the franchise industry. In this study, 168 CEOs and employees in the franchise industry were surveyed. Through previous research and expert interviews, we designed the core competency factors of franchise supervisors into seven areas: check, consulting, coordination, promotion, counseling, communication, and control. In order to verify the hypothesis of the research, the relationship between variables was verified by simple regression analysis and multiple regression analysis. Key result of the study are as follows. First, the core competency of the supervisor has a positive relationship with the franchisee's satisfaction. Second, the core competence of the supervisor has a positive relationship with the franchisee's loyalty. Third, franchisee's satisfaction has a positive effect on loyalty. Fourth, franchisee's satisfaction positively affects the business performance of franchisee and franchisor. Fifth, franchisee's loyalty positively affects the business performance of franchisee and franchisor.

• Culinary science and hospitality research
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• v.21 no.5
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• pp.214-220
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• 2015

This study examines whether the two variables that encompass the number of rooms sold and occupancy, as independent variables, positively affect a total of revenue generated from the hotel industry. Using a simple regression analysis and a standard multiple regression analysis, the study evaluates if the two independent variables play an important role in influencing a total of revenue in the hotel industry. A finding tells that researchers need consider a removal of the occupancy rate for a better and accurate prediction. It is expected that this study will contribute to a theoretical development of a study group that focuses on what determinants enable to improve a financial performance in the hotel sector.

• Current Research on Agriculture and Life Sciences
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• v.32 no.3
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• pp.135-143
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• 2014

The variability and temporal trends of the annual and seasonal minimum and maximum temperature, rainfall, relative humidity, wind speed, sunshine hours, and runoff were analyzed for 5 major rivers in Korea from 1960 to 2010. A simple regression and non-parametric methods (Mann-Kendall test and Sen's estimator) were used in this study. The analysis results show that the minimum temperature ($T_{min}$) had a higher increasing trend than the maximum temperature ($T_{max}$), and the average temperature increased by about $0.03^{\circ}C\;yr.^{-1}$. The relative humidity and wind speed decreased by $0.02%\;yr^{-1}$ and $0.01m\;s^{-1}yr^{-1}$, respectively. With the exception of the Han River basin, the regression analysis and Mann-Kendall and Sen results failed to detect trends for the runoff and rainfall over the study period. Rapid land use changes were linked to the increase in the runoff in the Han River basin. The sensitivity of the evapotranspiration and ultimately the runoff to the meteorological variables was in the order of relative humidity > sunshine duration > wind speed > $T_{max}$ > $T_{min}$. Future studies should investigate the interaction of the variables analyzed herein, and their relative contributions to the runoff trends.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.525-532
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• 2021

This study examines the association between a firm's business strategy and audit report lags. This study employs 5,072 firm-year observations from 2015 to 2019. Our sample comprises all of the firms listed on the Korea Composite Stock Price Index (KOSPI) market and Korea Securities Dealers Automated Quotation (KOSDAQ). We perform OLS regression analysis to test our hypothesis. The OLS regression analysis was conducted through the SAS and STATA programs. We find that business strategy is positively associated with audit report lags. Especially, we find that defender firms are negatively associated with audit report lags. The findings of this study suggest that prospector-like firms would increase their performance uncertainty as well as audit risk. Therefore, prospector-like firms interfere with the efficient audit procedures of auditors. On the other hand, our findings indicate that defender-like firms would decrease their performance uncertainty as well as an audit risk because they focus on simple product lines and cost-efficiency. For this reason, auditors will be able to carry out the audit procedures much more easily. Our results present that a prospector-like business strategy degrades audit effectiveness as it exacerbates a company's financial risk, willingness to accept uncertainty, and the complexity of organizational structure.

• Korean Journal of Organic Agriculture
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• v.32 no.1
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• pp.39-54
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• 2024

This study aimed to elucidate the relationship between the selection attributes and visit motivations of Ningxia wineries and tourist satisfaction and intention to revisit. Utilizing multiple linear regression and simple linear regression models, the study quantitatively analyzed tourists' selection attributes and visit motivations for Ningxia wineries. Factor analysis categorized 12 visit motivation variables into four factors: 'Sensation', 'Educational', 'Companion-Friendly', and 'Experiential'. Additionally, 17 selection attribute variables were classified into four factors: 'Service Quality', 'Environmental', 'Facility', and 'Economic'. Through analyzing the impact of visit motivations on satisfaction and revisit intentions, we have identified the pivotal factors as 'Wine Cultural Education', 'Enhanced Companion-Friendliness', and 'Wine Cultural Experience'. In the analysis of the relationship between selection attributes and revisit intentions, crucial elements involve 'Service Quality provided by the winery"'and 'Environmental of the winery'. Conversely, key influencing revisit intentions include 'Environmental of the winery' and 'Costs and Pricing associated with winery visits'. To ensure the sustainable development of the Ningxia winery industry and promote the enduring growth of rural economies, wineries should place greater emphasis on cultivating wine cultural experiences, artisanal activities, and other project endeavors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.4
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• pp.1693-1705
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• 2013

To restore old aqueduct in Korea which is a irrigation bridge to supply water in paddy field area, it is needed to estimate approximate costs of restoration because the basic design for estimation of construction costs is often ruled out in current system. In this paper, estimating models of construction costs were developed on the basis of performance data for restoration of RC aqueduct bridges since 2003. The regression analysis (RA) model and case-based reasoning (CBR) model for the estimation of construction costs were developed respectively. Error rate of simple RA model was lower than that of multiple RA model. CBR model using genetic algorithm (GA) has been applied in the estimation of construction costs. In the model three factors like attribute weight, attribute deviation and rank of case similarity were optimized. Especially, error rate of estimated construction costs decreased since limit ranges of the attribute weights were applied. The results showed that error rates between RA model and CBR models were inconsiderable statistically. It is expected that the proposed estimating method of approximate costs of aqueduct restoration will be utilized to support quick decision making in phased rehabilitation project.

• Journal of the Korean Geosynthetics Society
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• v.21 no.2
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• pp.21-30
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• 2022

Shear strength is the most important indicator in the evaluation of rock slope stability. It is generally estimated by comparing the results of existing literature data, back analysis, experiments and etc. There are additional variables related to the state of discontinuity to consider in the shear strength of the rock slope. It is difficult to determine whether these variables exist through drilling, and it is also difficult to find an exact relationship with shear strength. In this study, the data calculated through back analysis were used. The relationship between previously considered variables was applied to deep learning and the possibility for estimating shear strength of rock slope was explored. For comparison, an existing simple linear regression model and a deep learning algorithm, a deep neural network(DNN) model, were used. Although each analysis model derived similar prediction results, the explanatory power of DNN was improved with a small differences.

• Journal of Korean Society for Atmospheric Environment
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• v.2 no.1
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• pp.41-54
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• 1986

Methods used for averaging PH's of rainwater and site representation have been studied, Statistical analysis was attempted regarding effects of ionic components on PH's utilizing 847 data altogether obtained in two years, 1984 and 1985. The outcome of the study may be assumarized as follows: 1. Methods for Averaging PH Volume weighted method is considered to be acceptable providing that precipitation is measured at the same time when the samples are taken. Without precipitation data a simple averaging method should be the next choice. 2. Site Representation A statistical method used for optimizing a monitoring newtork was applied using the data collected. Because of a limited number of data, no discernible conclusion can be reached suggesting that the method can serve as a good guide when the data base becomes more reliable. 3. A good correlation appears to exist betwen conductivities and ionic components in rainwater. It would, therefore, be possible to certain extend to estimate ionic concentrations from conductivity measurements by correlation equations. 4. The acidity of rainwater is effected by $SO_4^{2-}, NO_3^-, Cl^- and NH_4^+ with SO_4^{2-}$ being the most significant as demonstrated by standardized regression analysis.

• Communications for Statistical Applications and Methods
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• v.13 no.2
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• pp.233-241
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• 2006

Classical principal component analysis (PCA) can be formulated as finding the linear subspace that best accommodates multidimensional data points in the sense that the sum of squared residual distances is minimized. As alternatives to such LS (least squares) fitting approach, we produce LMS (least median of squares) and LTS (least trimmed squares)-type PCA by minimizing the median of squared residual distances and the trimmed sum of squares, in a similar fashion to Rousseeuw (1984)'s alternative approaches to LS linear regression. Proposed methods adopt the data-driven optimization algorithm of Croux and Ruiz-Gazen (1996, 2005) that is conceptually simple and computationally practical. Numerical examples are given.

• Journal of environmental and Sanitary engineering
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• v.17 no.4
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• pp.61-67
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• 2002

NIRS(Near infrared spectroscopy) scanning from 1300nm to 2400nm was appl ied for the DEHP(di-(2 ethylhexyl)phthalate) in PVC(polyvinyl chloride_packing material. All samples were devided into calibration group and validation group. As a result of conduction the multiple regression analysis on the correlation between the NIR spectrum data and chemical assay value obtained by the Korea Food Sanitation Act. The validation model for measuring the DEHP content had R of 0.997, SEC of 0.132, SEP of 0.176 by MLR and R of 0.996, SEC of 0.142, SEP of 0.198 by PLS and the detection limit was 0.1%. The obtained results indicate that the NIR procedure can potentially be used as a nondestructive analysis method for the purpose of rapid and simple measurement of DEHP in PVC packing material.