• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.43-48
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• 2021

In this study, an analysis was performed using the growth data and environment data of Korean melon farmers to confirm the influence of environmental factors variables on fruit weight of Korean melon. The analysis results can be summarized as follows. First, it was confirmed that humidity and temperature were recognized as the most important factors among the core factors of korean melon farm production management. Second, The correlation analysis of fruit weight and environmental factors showed a statistically significant soil temperature, internal humidity. Third, The Pooled OLS model estimation results showed that the estimation coefficient for soil temperature is (-), and the estimation coefficient for soil temperature square is (+), indicating that optimal control temperature exists.

• The Journal of Economics, Marketing and Management
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• v.12 no.4
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• pp.37-49
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• 2024

Purpose: This research is motivated by the rise of live-streaming commerce in service industries, aiming to explore factors affecting service product purchases in live-streaming commerce. Extracted independent factors include information provision, vicarious experience, social interaction, visibility, and emotional transmission. Additionally, this study aims to discern the moderating effect of brand reputation in the relationships between independent factors and customer intention to purchase service products in live-streaming commerce. Research design, data and methodology: This study employed a questionnaire survey to collect data and analyzed collected data with statistical analysis methods, including exploratory factor analysis and multiple regression analysis. Results: The analysis results say three factors significantly influenced purchase intentions in live-streaming commerce: information provision, emotional transmission, and price discount. Brand reputation also significantly affects customers' intention to buy service products in live-stream commerce.

• Journal of the Korea Institute of Building Construction
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• v.12 no.6
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• pp.636-647
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• 2012

Construction projects have become so large, complicated and incredibly high-tech that process management is currently considered one of the most important issues. Unlike typical manufacturing industries, most major construction activities are performed in the open air and thus are exposed to various environmental factors. Many studies have been conducted with the goal of establishing efficient techniques and tools for overcoming these limitations. Productivity analysis and prediction, one of the related research subjects, must be considered when evaluating approaches to reducing construction duration and costs. The aim of this research is to present a quantified impact analysis of construction delay factors on construction productivity of a steel staircase system, which has been widely applied to high rise building construction. It is also expected to improve the process by managing the factors, ultimately achieving an improvement in construction productivity. To achieve the research objectives, this paper analyzed different delay factors affecting construction duration by means of multiple regression analysis focusing on steel staircase systems, which have critical effects on the preceding and subsequent processes in structure construction. Statistical analysis on the multiple linear regression model indicated that the environment, labor and material delay factors were statistically significant, with 0.293, 0.491, and 0.203 as the respective quantified impacts on productivity.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.107-114
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• 2009

Human walking is essential and important mean of transportation. Pedestrian safety is recently important because accidents often happen while walking. This research is showing that Walking-environmental factors have effect on safety while walking. At first, exact 15 factors and conduct survey in the preceding research. After that, exact 4 important factors through factor analysis. At result of Multiple regression analysis, null hypothesis has proved to be true by satisfying therms which is F-value 9.211 and P-value 0.000. and come to the conclusion that walking-environmental factors influence pedestrian safety. 4 important factors can be listed by below. Pedestrian-road characteristic, landscape characteristic, commercial characteristic, walking characteristics by following influence. Especially, landscape characteristic and pedestrian-road characteristic can be vital factors.

• Journal of the Korean Institute of Navigation
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• v.22 no.3
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• pp.73-92
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• 1998

Today the number of high school drop-outs is increasing , and also it is serious social problems. But almost factor analyses on the drop-outs are projected by questionnaire. This paper find out by the real data form the concerned documents what factors of drop-outs are. In order to accomplish this study purpose, the methodology are used such as Fequency Analysis, Correlation Analysis, Crosstabulation Analysis. Through the this study this paper could siome suggestions as followings. The first , all education authority should analysis what factors of drop-outs and what drop-out situation is . The second, every teacher should counsel with all problem students sincerely regarding to their characters, future occupations, life course and etc. The third, the most and worst important factors of drop-out is runaway. Because it is very difficult for teacher to teach, lead and guide a runaway student, therefore thepreventino of runaway is efficient for reducing of drop-outs. The fouth, the students violating rules are retrained propoerly in view of guide for good path. The fifth, besides of the above factors. there are drop-out factors such as the health, disease, dafety accidents . All parents. teachers, and students should try their best to solve. To the end, education authority try to encourage teachers to do their role with maximum sense of duty.

• The Korean Journal of Health Service Management
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• v.5 no.1
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• pp.159-170
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• 2011

This study aims at providing basic data on brain death by analyzing factors of influencing toward attitude to brain death subject to citizens of Busan City. The data was collected for 47 days from 14 July to 31 August, 2009. Among a total of 2200 cases of the questionaries, only 2042 cases were used. For data analysis, SPSS 17.0 was used, and for the specific analysis method frequency analysis to understand general characteristics of the participants. In addition, examination on T-test and ANOVA analysis were conducted after analyzing the factors for participants' consciousness on brain death, and logistic regression analysis for understanding of relations between participants' will to brain death and general characteristics. The results of this study are summarized as follows; First, attitudes towards brain death according to general characteristics was high in those with will to donate their organs than those without in the attitude factors, namely, death recognition, acceptive, exclusive and religious attitude factors. Second, Significant variables for effects of attitudes towards brain death were gender, patients or their family's chronic or incurable diseases, religion, occupation and death recognition, acceptive, and exclusive attitude factors.

• Korean journal of food and cookery science
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• v.18 no.1
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• pp.63-72
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• 2002

This study was conducted to (a) investigate the frequency of Korean beverage consumption, (b) analyze the characteristics of socio-demographically classified group according to drinking frequency, (c) investigate the attitude for and awareness of Korean beverage and (d) analyze the factors which influence Korean beverage consumption. The survey was carried out by self-administered questionnaires with 2,200 subjects residing in Seoul. A total of 1,885 samples were used for analysis by using t-test, one way analysis of variance (ANOVA), Duncan's multiple comparison test, factor analysis, and analysis of covariance (ANOCOVA) with SAS computer program. Among various Korean beverage, Donggulre tea was consumed most frequently at an average of 7.4 times per month, and followed by rice beverage, Mi Su, Citron tea, Shick Hae and canned Shick Hae. Among the age groups, the group of 20s showed the lowest frequency of Korean beverage consumption exempt rice beverage. According to occupation group, middle and high school and college student groups showed a high frequency of consumption of cereal based drink such as rice beverage, Mi Su and Yulmu tea. The behavior examination aimed at learning the perceptions relevant to the choice of beverage showed that the subjects believe Korean beverage healthful and nutritious but not familiar through advertisement, not easy to buy, and not to be a habitual drink. The factors influencing the frequency of Korean beverage consumption were shown as health-related factors and habitual/practical factors.

• Journal of Digital Convergence
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• v.7 no.4
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• pp.127-140
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• 2009

This dissertation aims to empirically analyze the factors that determine the market competitiveness that would enable SaaS enterprises to survive. The contents of this dissertation includes; (l)analysis of factors that determine market competitiveness of domestic SaaS enterprises, (2)structural analysis of factors that determine the market competitiveness of SaaS enterprises on the their performance. Results of analysis of this dissertation are as follows. First, the factors that determine market competitiveness of SaaS enterprises were found to include (l)enterprise management competence, (2)competence for technological possession, (3)reliability and safety, (4)customer management competence, and (S)competence to cope with external environment of the enterprise. Second, the outcome of structural analysis of factors that determine the market competitiveness of SaaS enterprises on the their performance illustrated that (l)enterprise management competence and (2)competence for technological possession has structural relationship of imparting influence on the (6)enterprise performance by the full medium of (3)reliability and safety, (4)customer management competence, and (5)competence to cope with external environment of enterprise.

• Journal of Information Technology Services
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• v.16 no.1
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• pp.41-53
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• 2017

Recently, due to the economic recession and increase of ITO (IT Outsourcing), bidding in software industry has been recognized as more competitive and the importance of software bid evaluation for corporate selection is being increased. This study aims to analyze and prioritize influential factors in the software bid evaluation criteria which is adopted as the main evaluation model of national software businesses by Ministry of Science. The priority was developed by AHP (Analytic Hierarchy Process) through pair-wise comparison. For the analysis, this study developed analysis model for AHP and conducted survey of experts who have work experience for more than 10 years in the IT industry. As the result of analysis, weighted factors in the evaluation criteria were deduced and differences of priority factors between purchaser and bidder were investigated. The analysis showed differences of view point in the bidding process. With these results, this study suggests how to write a proposal strategically and effectively in perspective of the purchaser. It is expected that priority factors will be adopted in strategic proposals in both bidder and purchaser. For purchaser, the priority will be adopted to select reliable bidder. So, we expect that the priority factors will be used to get more values for both bidder and purchaser in their business atmosphere.

• Steel and Composite Structures
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• v.47 no.4
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• pp.451-454
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• 2023

Landslides are one of the natural disasters that cause a lot of financial and human losses every year It will be all over the world. China, especially. The Mainland China can be divided into 12 zones, including 4 high susceptibility zones, 7 medium susceptibility zones and 1 low susceptibility zone, according to landslide proneness. Climate and physiography are always at risk of landslides. The purpose of this research is to prepare a landslide hazard map using the Hierarchical Analysis Process method. In the GIS environment, it is in a part of China watershed. In order to prepare a landslide hazard map, first with Field studies, a distribution map of landslides in the area and then a map of factors affecting landslides were prepared. In the next stage, the factors are prioritized using expert opinion and hierarchical analysis process and nine factors including height, slope, slope direction, geological units, land use, distance from Waterway, distance from the road, distance from the fault and rainfall map were selected as effective factors. Then Landslide risk zoning in the region was done using the hierarchical analysis process model. The results showed that the three factors of geological units, distance from the road and slope are the most important have had an effect on the occurrence of landslides in the region, while the two factors of fault and rainfall have the least effect The landslide occurred in the region.