• The Journal of Industrial Distribution & Business
• /
• v.10 no.10
• /
• pp.35-44
• /
• 2019

Purpose - This study focuses on the continuance intention of O2O fresh agricultural products e-commerce. By literature review, this paper looks through the classical theories which are often applied to study use behavior and continuance intention on the electronic commerce area. Ultimately based on the expectancy theory, Technology acceptance model, success model as well as trust model, a model of the continuance intention of fresh products O2O electronic commerce application is established. Research design, data, and methodology - Among users Chinese consumers have been chosen who have use experience as the research objects. From October 2, 2018 to November 2, 2018, 685 questionnaires in total were collected by the online release and collection. Expect for the negative questionnaires, the remaining 650 pieces of data are statistically analyzed. The collected data were firstly be analyzed by SPSS Ver. 25 on its frequency, reliability and exploratory factors. Then AMOS Ver. 25 is applied to the Confirmatory Factor Analysis, Discriminant Validity and hypothesis testing of the Structural Equation Modeling. Finally, the following research conclusions could be obtained from the hypothesis testing. Results - Firstly, in the extended IS model, quality factor for hypothesis testing, service quality, information quality and delivery quality have obviously present positive influences on satisfaction respectively. Secondly, in the hypothesis testing part of ECM-ISC model and UTAUT model, all hypotheses have presented accepted results. Especially from expectation confirmation to usefulness perception, the influence factor achieves 12.603, In the hypothesis of continuance intention, the influence factor of social influence on continuance intention is 7.748 and also it is the most remarkable one. Conclusions - The results show that the service quality of O2O fresh agricultural products e-commerce has the greatest impact on satisfaction, while the perceived usefulness of consumers has the most significant impact on O2O fresh agricultural products for sustainable use intention. This thesis makes up for the blank of O2O fresh food e-commerce for sustainable use intentions, and provides a theoretical basis for consumers' sustainable use behavior, and practical enlightenment for the sustainable development of O2O fresh agricultural products e-commerce.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.1065-1071
• /
• 2023

In this paper discuss with research developing an LSTM model for classifying the behavior of occupants within a residence. The multi-sensor consists of an IAQ (Indoor Air Quality) sensor that measures indoor air quality, a UWB radar that tracks occupancy detection and location, and a Piezo sensor to measure occupants' biometric information, and collects occupant behavior data such as going out, staying, cooking, cleaning, exercise, and sleep by constructed an experimental environment similar to the actual residential environment. After the data with removed outliers and missing, the LSTM model is used to calculate accuracy, sensitivity, specificity of the occupant behavior classification model, T1 score.

• Culinary science and hospitality research
• /
• v.15 no.4
• /
• pp.227-244
• /
• 2009

This study was conducted to develop a multiple-item scale for measuring the food service quality in the restaurant industry. For developing the scale, Kelly Repertory Grid Methods were conducted. Collected data of food service quality were analyzed with the reliability analysis and the factor analysis of SPSS 12.0 and the 3rd-order confirmatory factor analysis of LISREL 8.70. The food service quality model of this study is conceptually based on the Brady and Cronin(2001)'s hierarchical approach to the service quality model. The hierarchical model of the food service quality which comprises three constructs of the physical environment quality, the interaction quality and the food quality as a primary dimension. The hierarchical approaches to the food service quality help overcome the limitations of the SERVQUAL model for which some arguments have been made that it lacks a clear division between the dimensions and its subsequent overlapping between them.

• Journal of Korean Society for Quality Management
• /
• v.43 no.3
• /
• pp.383-396
• /
• 2015

Purpose: This study was to identify the structural relationships among suitability of entertainer advertising model, relationship quality and brand loyalty in coffee shop. Methods: This study collected data from those who visited two reputed franchised coffee shops. A variety of statistical methods were used; descriptive analysis, exploratory factor analysis, confirmatory factor analysis and structural equation modelling analysis. Results: The research results from this study are as follows: First, only credibility factor has a positive impact on relationship quality; second credibility and expertness factors positively influence brand loyalty; and third, there is a positive relationship between relationship quality and brand loyalty. Conclusion: The results of this research are useful for identifying the role of advertising models's suitability in estimating relationship quality and brand loyalty and strategies for strengthening brand loyalty for coffee shops.

• Journal of the East Asian Society of Dietary Life
• /
• v.17 no.3
• /
• pp.417-424
• /
• 2007

The purpose of this study was to measure the effects that service quality, perceived value and satisfaction have on loyalty in Namhaean area restaurants. A total of 273 questionnaires were completed. The structural equation model was used as an analysis method to measure the causal effects of service quality, perceived value, satisfaction and loyalty. The results demonstrated that the structural analysis result for the data was an excellent model fit. The effect of service quality on value, the effect of perceived sacrifice on value, the effect of service quality on satisfaction, the effect of value on satisfaction, and the effect of satisfaction on loyalty were statistically significant. Moreover service quality had an indirect effect on satisfaction through perceived value, and service quality also had an indirect effect on loyalty through perceived value and satisfaction. Perceived value had an indirect effect on loyalty, and an effect through satisfaction. Perceived sacrifice had an indirect effect on satisfaction through perceived value, and it also had an indirect effect on loyalty, and an effect through satisfaction. Further study is still required, and should be aimed at identifying the causal mechanisms of constructs, such that restaurant managers might be better prepared to offer value and satisfaction to their customers.

• Journal of Environmental Impact Assessment
• /
• v.7 no.1
• /
• pp.81-91
• /
• 1998

The objective of this study was to use remotely sensed data, combined with in situ data, for the assessment of trophic state for Daecheong reservoir. Three Landsat TM(Thematic Mapper) imagery data were processed to portray trophic state conditions. The remotely sensed data and the measured data were obtained on 20 June 1995. Regression models have been developed between the chlorophyll-a concentration and reflectance which was converted to Landsat TM digital data. The regression model was determined based on the correlation coefficient which was higher than 0.7 and was applied to the entire study area to generate a distribution map of chlorophyll-a and trophic state. The equation, providing estimates of chlorophyll-a concentration, represented the year-to-year spatial variation of trophic zones in the reservoir. Satellite remote sensing data derived from Landsat TM had been successfully used for trophic slate mapping in Daecheong reservoir.

• Journal of Distribution Research
• /
• v.12 no.1
• /
• pp.85-104
• /
• 2007

The basic purpose of this study is to investigate service quality and relationship quality affecting the result of long-term relationship between service buyers and suppliers. This research presented a constructive model(service quality${\rightarrow}$relationship quality${\rightarrow}$customer's revisiting intention) and then propose the research model base on prior researches and studies about relationships among components of service. Data were gathered from respondents who visit traditional markets. For this study, data were analyzed by SPSS and AMOS 5.0. Data were gathered from 209 respondents in the Korean traditional market. This research proposed 6 hypotheses on 5 latent variables and tested through structural equation modeling. 5 alternative measurements were compared through statistical significance test of the paths of research model and the overall fitting level of structural equation model. and the result was successful. The results of the study indicate that service quality is properly modeled as an antecedent of relationship quality and revisiting intentions. We also discussed managerial implications of the study and its limitations.

• Journal of Information Technology Services
• /
• v.18 no.1
• /
• pp.173-186
• /
• 2019

Recently, as the amount of fine dust has risen rapidly, our interest is increasing day by day. It is virtually impossible to remove fine dust. However, it is best to predict the concentration of fine dust and minimize exposure to it. In this study, we developed a mathematical model that can predict the concentration of fine dust using various information related to the weather and air quality, which is provided in real time in 'Air Korea (http://www.airkorea.or.kr/)' and 'Weather Data Open Portal (https://data.kma.go.kr/).' In the mathematical model, various domestic seasonal variables and atmospheric state variables are extracted by multiple regression analysis. The parameters that have significant influence on the fine dust concentration are extracted, and using ANN (Artificial Neural Network) and SVM (Support Vector Machine), which are machine learning techniques, we proposed a prediction model. The proposed model can verify its effectiveness by using past dust and weather big data.

• Journal of Distribution Science
• /
• v.13 no.3
• /
• pp.41-49
• /
• 2015

Purpose - Universities are placing a greater emphasis on relationship management as a source of competitive advantage due to increasingly competitive environments and social changes. The purpose of this study is to analyze the relationships among education service quality, relationship quality, and relationship performance from the perspective of service distribution. In other words, this study is focused on the role of education service quality with regard to relationship management. In this study, education service quality is divided into lecture, job assistance, student-faculty interaction, student-student interaction, facility welfare, and scholarship welfare quality components; relationship quality is composed of satisfaction and commitment; and relationship performance is divided into recommendation and defection intentions. Research design, data, and methodology - This study aims to identify how the various elements of education service quality affect satisfaction. Further, it aims to test the relationships among satisfaction, commitment, recommendation intentions, and defection intentions. Distribution and marketing students were randomly selected for the experiment. Out of the 380 administered questionnaires, a total of 361 respondents provided complete and usable data. The sample consisted of 232 males (64.3%) and 129 females (35.7%). The variables of the proposed model were measured through assessments that were measured on a 5-point Likert scale. Using Lisrel 8.7, a structural model was analyzed and the path coefficients were estimated. Results - The overall fit of the model was acceptable (χ2=1121.8 (df=603, P=0.00), GFI=0.967, NFI=0.974, CFI=0.981, RMR=0.021). The results generally supported the hypothesized relationships of the proposed model, except for Hypothesis 1. First, lecture, job assistance, student-faculty interaction, student-student interaction, and facility welfare quality were revealed to have positive effects on satisfaction. In particular, lecture and facility welfare quality had the strongest effects on satisfaction. However, scholarship welfare quality did not significantly affect satisfaction; this means that Hypothesis 3-2 was not supported. Second, satisfaction was positively related to commitment and recommendation intentions but it was negatively related to defection intentions. Third, commitment was positively related to recommendation intentions but it was negatively related to defection intentions. Conclusions - This study emphasizes the influence of education service quality on satisfaction in the long-term. In addition, this research has the following implications for university relationship management. First, the findings suggest that the various dimensions of education service quality have differing effects on satisfaction. In particular, lecture and facility welfare quality are found to be the most important factors in increasing the level of satisfaction. Therefore, university managers need to prioritize enhancing lecture quality and upgrading educational facilities. Second, satisfaction also improves through job assistance systems and opportunities for social interactions. Therefore, university managers should reinforce their job skills programs and should provide opportunities for social relationships to develop. Finally, it is important for university managers to take a relationship approach to maximizing relationship performance. Therefore, university managers should work to increase student recommendations and prevent their defections based on satisfaction and commitment.

• Journal of Korean Society on Water Environment
• /
• v.25 no.2
• /
• pp.212-220
• /
• 2009

In many studies, the Numeric Integration (NI) method has been widely used to calculate pollutant loads from the watershed because it is easy to apply. However, there have been many needs for more accurate pollutant loads estimation method with the restricted number of water quality samples. However, the ESTIMATOR model does not allow the users to define the regression model to explain the measured flow and water quality relationship, indicating the ESTIMATOR model is not flexible. The LOADEST model allows the user to choose the model type from 11 predefined general forms of regression equations. Annual loads of T-N and T-P with the LOADEST model were 0.70 times and 0.84 times of those by NI method, respectively. The coefficient of determination ($R^2$) of the LOADEST regression for the T-N and T-P were 0.92 and 0.72, respectively. This indicates that the load estimation regression model with the LOADEST for the study watershed explains the relationship between the observed flow and water quality data well reasonably well. Based on these findings, we suggest that the LOADEST model estimated regression equation could be used to estimate pollutant loads using the measured flow data for the study watershed.