• Asia-Pacific Journal of Business
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• v.14 no.3
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• pp.271-281
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• 2023

Purpose - The purpose of this study is to investigate influential attributes of intention to purchase in the context of cafe business. Design/methodology/approach - The explained variable is intention to purchase. This study used organic, healthiness, and nutrition disclosure as the main attributes to account for intention to purchase. Research target of this work is consumers experienced with Starbucks. The number of observation is 455. Multiple regression analysis is adopted for testing hypotheses. Findings - The results presented that organic positively affect healthiness. Also, nutrition disclosure positively moderates the relationship between healthiness and organic. Moreover, intention to purchase is positively influenced by healthiness. Research implications or Originality - Given the results, this informs cafe managers. Also, this research sheds light to the literature by unveiling the moderating effect of nutrition disclosure in the cafe consumer research domain.

• The Korean Journal of Food & Health Convergence
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• v.10 no.1
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• pp.7-15
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• 2024

The bakery cafe and dessert industry in Korea is expanding, but it requires continuous innovation to remain competitive and adaptable. Therefore, this study aims to examine the effect of five sense factors on customer satisfaction and relationship continuance intention in Korean dessert cafes. A survey was conducted among 200 consumers who had visited a Korean dessert cafe in Seoul and Gyeonggi Province. Regression analysis was conducted for hypothesis testing, and the research results are as follows. First, among the five sensory factors in Korean dessert cafes, gustatory, visual, and olfactory factors positively impacted customer satisfaction and relationship continuance intention. These results suggest that the taste and presentation of Korean desserts in cafes and the aroma of both the desserts and the café are essential. However, auditory and tactile factors did not impact customer satisfaction and intention to continue the relationship. Second, customer satisfaction improved the intention to continue the relationship. This finding suggests that improving customer satisfaction in Korean dessert cafes positively impacts maintaining customer loyalty. Therefore, operators of Korean dessert cafes should consider gustatory, visual, and olfactory aspects when developing dessert menus and planning the physical environment of their restaurants.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.360-367
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• 2024

The purpose of this study was to examine the role of parental support in mitigating the impact of discrimination experiences on depression among children and adolescents. This focus was based on the premise that experiences of discrimination can negatively affect peer relationships as well as behavioral and emotional development in youths who spend a significant amount of time with their peers at school. We aimed to explore the mediating role of parental support and to present policy and practical recommendations from a social welfare perspective. For this purpose, data from the "2020 Survey on the Human Rights of Children and Adolescents" was utilized, involving 9,000 students ranging from 4th to 6th grade in elementary school, grade in middle school, and grade in high school from across the country. The study was conducted targeting these groups. For research analysis, frequency analysis using SPSS 26.0 was employed to calculate the general characteristics of the study subjects and the reliability coefficient of the testing tool. And regression analysis was conducted to verify the mediating effect of parental support on the impact of discrimination experiences on depression. The analysis revealed that there were 4,473 males (51.9%) and 4,150 females (48.1%), and that experiences of discrimination had a negative effect on depression (B=311, P<0.001). It was found that the more frequent the experiences of discrimination, the higher the level of depression, and the more a youth experienced discrimination, the greater the psychological depression they endured.

• Structural Monitoring and Maintenance
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• v.11 no.1
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• pp.41-55
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• 2024

This study aims to determine the characteristics of concrete as identified by Rebound Hammer and Ultrasonic Pulse Velocity (UPV) tests, focusing particularly on their efficacy in estimating compressive strength of concrete material. The study involved three concrete samples designed to achieve a target strength of 29 MPa, comprising normal concrete, instant concrete, and concrete with additives. These were cast into cube specimens measuring 150×150×150 mm. Compressive strength values were determined through both destructive and non-destructive testing on the cubic specimens. As a result, the non-destructive methods yielded varying outcomes for each correlation approach, influenced by the differing constituent materials in the tested concretes. However, normal concrete consistently showed the most reliable correlation, followed by concrete with additives, and lastly, instant concrete. The study found that combining Rebound Hammer and UPV tests enhances the prediction accuracy of compressive strength of concrete. This synergy was quantified through multivariate regression, considering UPV, rebound number, and actual compressive strength. The findings also suggest a more significant influence of the Rebound Hammer measurements on predicting compressive strength for BN and BA, whereas UPV and RN had a similar impact on predicting BI compressive strength.

• Journal of East-West Nursing Research
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• v.30 no.2
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• pp.108-117
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• 2024

Purpose: This study is a descriptive survey aimed at examining the mediating effect of moral sensitivity on the awareness of biomedical ethics and attitudes toward discontinuing life-sustaining treatment among nurses in regional public hospital. Methods: Data was collected from 199 nurses working at 8 regional medical centers across the country from March 21 to April 20, 2024. The data was analyzed using SPSS/WIN 28.0 with descriptive statistics, independent t-tests, one-way ANOVA, Pearson correlation coefficients, hierarchical multiple regression analysis, and bootstrap to test for testing mediating effects. Results: Biomedical ethics awareness and attitudes toward discontinuing life-sustaining treatment showed a positive correlation. We found positive correlations between biomedical ethics awareness and moral sensitivity and attitudes toward discontinuing life-sustaining treatment and moral sensitivity. Conclusions: The study suggests that improving the moral sensitivity of regional public hospital nurses through targeted education and strategies can enhance their awareness of biomedical ethics and attitudes toward discontinuing life-sustaining treatment.

• Journal of Distribution Science
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• v.22 no.10
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• pp.103-110
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• 2024

Purpose: This study investigated the microbial status of beverages and desserts containing strawberries sold at coffee outlets in Busan, South Korea. The study sought to identify differencesin types of foodservice management and microbial status of beverages and desserts. Research design and methodology: This study compared microbial status between franchised and single-unit outlets via microbial laboratory tests. In addition, impact of risk factors on microbial status were investigated. We analyzed the data using independent t-tests and chi-square tests. In order to measure the impact of risk factors on microbial status, multiple regression was run. We expected franchised outlets to be more likely to apply food safety practices than single-unit outlets. The principal results: Results of microbial testing showed that franchised outlets had a higher microbial status than single-unit outlets. The results showed that franchise outlets were more inclined to adhere to food safety practices than single-unit outlets when it comes to total number of bacteria however for coliform group results showed otherwise. Major conclusions: These study results suggest that a standard food safety and sanitation manual for coffee outlets is needed, especially for single-unit coffee outlets. The current inspection items should be revised accordingly to ensure customer safety.

• Computers and Concrete
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• v.34 no.3
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• pp.367-378
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• 2024

This study evaluates the direct tensile strength of ultra-high-performance concrete (UHPC) using tests. A total of 45 dogbone-shaped specimens are tested, with the test variables being the fiber volume fraction and notch length. The test results showed that the material properties of UHPC were largely dependent on the fiber volume fraction and compressive strength. When steel fibers with more than 1% fiber volume fraction are mixed in the manufacturing of UHPC, the tensile strength can be more than twice that of plain UHPC. In addition, the incorporation of steel fibers enabled the significant improvement of the initial cracking strength. However, the effect of the notch length on the tensile behavior was insignificant. An assessment of the direct tensile strength is conducted using machine-learning algorithms (ML). For evaluation of the direct tensile strength of UHPC using ML, a total of 98 test data, including 53 data from other research works and 45 data from this experimental program, were collected. In total, 67 data with a 70% confidence interval on a normal distribution curve were selected, with 47 data among 67 used for ML training and 20 data used for ML testing. As a result, the machine-learning algorithm with a steel fiber volume fraction predicted that the tensile strength has an average of 0.98 and the lowest values of regression evaluation metrics among analytical and ML-based models. It is considered that an ML-based model can help to predict a more accurate tensile strength of UHPC.

• Steel and Composite Structures
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• v.53 no.4
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• pp.377-399
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• 2024

Accurately predicting the bearing capacity of steel and concrete piles is a critical factor in the design and safety of deep foundations. This study presents a novel application of hybrid machine learning models, specifically Invasive Weed Optimization with Multilayer Perceptron (IWOMLP) and Harris Hawks Optimization with Multilayer Perceptron (HHOMLP), for enhancing the prediction of pile bearing capacity. These hybrid models integrate evolutionary optimization algorithms with neural networks, aiming to improve prediction accuracy by addressing the nonlinearities and complexities in pile-soil interaction. The study compares the performance of IWOMLP and HHOMLP against conventional machine learning methods such as Simple Linear Regression, Gaussian Processes, Random Forest, and others. The training and testing phases evaluate the models based on various error metrics, including R², RMSE, MAE, and additional advanced metrics. The key innovation in this research lies in combining optimization techniques with neural networks, which significantly enhances the model's ability to predict complex geotechnical properties. The primary goal of this work is to develop a reliable, data-driven approach for accurate pile capacity prediction, providing a more precise tool for geotechnical engineers to improve decision-making in foundation design. Results indicate that the hybrid models, particularly IWOMLP, outperform traditional approaches, achieving higher R² and lower RMSE values. This research demonstrates the potential of hybrid models to advance geotechnical engineering practices by delivering more accurate and reliable predictions.

• The Korean Journal of Applied Statistics
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• v.24 no.2
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• pp.411-424
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• 2011

The studies of congruence in organizational research have explored the concepts such as person-job fit person-organization fit, or person-environment fit. The relevant studies dealt with the fit level as an important influencing factor on the performance. In particular, researchers have agreed that employees can be motivated by the high level fit of person-organization. However, few research developing an alternative methodological approach has been done. For the purpose mentioned above the statistics like D, |D| or $D^2$ and the Q values such as Q(the correlation between two sets of interval measures) or $Q_r$(the correlation between two rankings) have been conventionally adopted in spite of numerous methodological problems. In general, these traditional indices such as difference scores, or Q values, are nondirectional and add an extra weight to differences of lager magnitude. Therefore, Edwards (1993) introduced the polynomial regression and the response surface analysis to overcome flaws with conventional approaches. However, the method-ological approaches did not reflect the profile characteristics of person-organizational value fit and wouldn't be a proper solution for the fit level of person-organization value maximizing performance. Hence, this paper investigates alternative methodological approaches, the multivariate polynomial regression and the multiple response surface analysis, to avoid the problems issued from conventional ways.

• Journal of the Korean GEO-environmental Society
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• v.10 no.7
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• pp.7-14
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• 2009

The correlation equation empirically proposed to obtain compression indexes has been proposed to conveniently obtain the value using the soil parameter that can be obtained through simple tests when the number of time of consolidation testing is low or the distribution is large but most of the analyzed regions are limited to certain regions abroad or in the country and multiple data were integrated for use in many cases, thus it is not very reasonable to apply it. Therefore, to establish a new design method considering the uncertainty of the ground, it was selected the Kwangyang port area of which the data have been collected recently thus are relatively more reliable as the subject region of the study in order to maximally reduce the uncertainty of test data. After performing the verification of the normality of the consolidation test data obtained from the selected region and the transformation of variables, a prediction formula was proposed through the regression model with the transformed variables and the proposed regression model with transformed variables was compared with existing empirical equations to verify the suitability of the proposed model formula. After analyzing, it was confirmed that the coefficient of determination was increased after the Box-Cox variable transformation, thus the explanatory power was being enhanced and through the root-mean-square-error method, it was confirmed that the proposed model formula showed the most closed value to the test value.