• The Korean Journal of Food And Nutrition
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• v.34 no.4
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• pp.365-371
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• 2021

This study was conducted to understand the type of use and satisfaction of delivery food by Chinese and Korean students. In December 2019, Korean and Chinese students living in Gyeonggi Province were analyzed using SPSS. The average number of food deliveries was 1~2 times a month and used 30.7% of the Korean students and 21.8% of the Chinese students. As for how to order food for delivery, 62.2% of Korean college students took up mobile apps, and 49.0% of Chinese students took up mobile phones. In terms of satisfaction after using delivery food, Korean students scored 3.89 points for taste and 3.74 points for using a neat and convenient packaging container, while Chinese students showed the highest score of 3.69 points for past eating experiences and 3.65 points for taste. As for the factors influencing the satisfaction after using the delivered food, the food quality satisfaction (β=0.518) for Korean students and favorable menu factor (β=0.533) for Chinese students were found. Therefore, it is judged that it is necessary to continuously improve the quality, service, convenience and diversity of delivered food, and health and safety factors in order to improve the delivery patterns and satisfaction of college students.

• Korean System Dynamics Review
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• v.12 no.1
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• pp.89-114
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• 2011

With steady increase in the demand for door-to-door delivery services, courier service providers are facing a constant pressure to reduce delivery price in order to secure quantity order and to improve the efficiency and reliability for customer service. The objective of this research is to explain the structure of the door-to-door delivery including door-to-door delivery service demand, sorting capacity in the hub-terminal, and the system performance measures such as service reliability networks using causal loop diagram(CLD). Based on causal relation, this research describes a comprehensive approach to examine how capacity reliability contributes to the renewal of the firm's competences through its reciprocal relationship with travel time reliability and connectivity reliability. Also, this research suggests the policy alternatives to improve effectiveness and efficiency of door-to-door delivery network in response to increase customer satisfaction and profit maximization of the courier service providers: operational, tactical, and strategic levels.

• Advances in nano research
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• v.14 no.2
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• pp.179-193
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• 2023

Physical activities enhance blood flow in the vessels, which may increase the quality of medicine delivery. The emergence of revolutionary technologies such as nanoscience, made it possible to treat the incurable illnesses such as cancer. This paper investigates the impact of sport and physical exercises on the quality and quantity of the drug-delivery based on the mathematical modeling of a nanomotor made by nanotubes carrying the nano-drug capsules. Accordingly, the mathematical equations of rotating nanomotor are generated by considering the both of higher-order beam model and nonlocal strain gradient model, as a comprehensive continuum theory. Next, through the generalized differential quadrature together with Newmark-beta methods, the differential relations are discretized and solved. Finally, the impact of varied parameters on the dynamical behavior of the nanomotor is examined in detail. The outcomes of this investigation can be useful to achieve an excellent design of nanomotors carrying nano-drugs.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.537-544
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• 2008

The purpose of this study is to find essential delivery service quality elements of internet shopping mall and to investigate the relationship among delivery service quality, satisfaction, trust, and loyalty in the area of internet shopping malls. To do so, theoretical literature review and empirical survey accomplished. The empirical results of this study are summarized as follows. Firstly, accuracy, quickness, safety, information providing, and institutional guarantee have a positive influence on satisfaction. Secondly, accuracy, quickness, information providing, and institutional guarantee have a positive influence on trust. Lastly, satisfaction has a positive influence on trust, and both of satisfaction and trust have a positive influence on loyalty in internet shopping malls. From the analyses of this study, we offer several implications both theoretical and practical perspective.

• Journal of radiological science and technology
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• v.47 no.4
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• pp.263-270
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• 2024

The objective of this study was to evaluate the accuracy and impact of leaf open time (LOT) and pitch using various machine learning models on EBT film-based delivery quality assurance (DQA) performed on 211 patients of helical tomotherapy (HT). We randomly selected passed (n=191) and failed (n=20) DQA measurements to evaluate the accuracy of the k-nearest neighbor (KNN), support vector machine (SVM), naive Bayes (NB) and logistic regression (LR) models using scale-dependent metrics such as the coefficient of determination (R2), mean squared error (MSE), and root MSE (RMSE). We evaluated the performance of the four prediction models in terms of the accuracy, precision, sensitivity, and F1-score using a confusion matrix, finding the NB and LR models to achieve optimal results. The results of this study are expected to reduce the workload of medical physicists and dosimetrists by predicting DQA results according to LOT and pitch in advance.

• Journal of Korean Society for Quality Management
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• v.30 no.4
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• pp.15-25
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• 2002

This paper considers supplier selection process for e-business & ISO 9001 quality management system environments. Determining suitable suppliers in the electronic commerce has become a key strategic consideration. However, the nature of these decisions is usually complex and unstructured. In this paper, a Quality Estimated Supplier Selection (QESS) model is proposed to deal with the supplier selection problems in the e-business(Business to Business: B to B). In the supplier selection, quality management factors will be considered for the first time, and then price, and delivery etc. In the first level, we deal with the quality management factors such as quality management audit, product test, engineering man-power, capability index and training time etc., based on the five point scale. In the second level, a QESS model determines the final solution by considering factors such as price, production lead-time and delivery time.

• International Journal of Quality Innovation
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• v.8 no.1
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• pp.27-39
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• 2007

In this study, we investigated the effects of service quality on customer satisfaction in education service industry, focusing on the opinion of dissatisfied customers who have decided to switch the service provider. Additionally, in professional service industries such as law, hospital, and education, customers expect visible results which are often ignored in earlier service quality studies. Customer's comprehensive assessment of the professional service depends on both process quality experienced during service delivery and service result perceived after service delivery. The hypotheses on the causal relationships among service quality, customer satisfaction, intention to switch service provider, and service performance were tested by using Structural Equation Model.

• Journal of the Korean Institute of Plant Engineering
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• v.23 no.4
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• pp.29-38
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• 2018

Through process quality information, the time required for process quality analysis has been drastically shortened, the process defect rate has been reduced, and the manufacturing lead time has been shortened and the on-time delivery rate has been improved. Therefore, The purpose of this study is to develop a quality information analysis system model that effectively shortens the time required for process quality analysis in automobile safety belt parts manufacturing process. As a result of experiments on communication operation between manufacturing execution system (MES) quality server, injection machine control computer, injection machine programmable logic controller (PLC) and terminal, in analyzing quality information, the conventional handwriting input method took an average of 20 minutes, but the new multi-network method took about 2 minutes on average. In addition, the process defect rate was reduced by 13% and the manufacturing lead time was shortened from 28 hours to 20 hours. The delivery compliance rate improved from 96 to 99%.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.5
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• pp.85-100
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• 2017

The Delivery Companies are Facing the Difficulty in their Delivery Services due to the Continuously Increasing Delivery Demand and Insufficient Supply of Delivery Persons to Satisfy the Demand. In Such Circumstances, the Delivery Companies have been Implementing the CSV Service by Introducing the Senior Parcel Delivery Service Creating Jobs for Senior Citizens. This Paper Investigated the Impact of the Quality of Senior Parcel Delivery Service, CSV Activities, and Individual Characteristic Factors of Consumers on the Customers' Confidence and Intention to Use the Delivery Service of Delivery Companies. For the Empirical Analysis, the Online/Offline Questionnaire Survey was Executed with the Individuals who used the Delivery Service and 216 Samples were Finally Selected for Empirical Analysis. In Accordance with the Analysis Results, the Speed, the Quality of Senior Parcel Delivery Service, had Significant Impact on the Customers' Confidence, but Safety had no Significant Impact on it. Next, the Sincerity of CSV Activity by Senior Parcel Delivery Service Companies Showed the Significant Impact on the Customers' Confidence. However, the Adequacy of CSV Activity had No Significant Impact on the Customers' Confidence. Furthermore, the Consumption Value and Ethical Consumption Propensity, the Individual Features of Consumers, Demonstrated the Significant Impact on the Customers' Confidence and also on the Customers' Confidence on and their Intention to use Senior Parcel Delivery Service Companies.

• The Korean Journal of Food & Health Convergence
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• v.10 no.4
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• pp.9-19
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• 2024

This qualitative study explores the impact of online food delivery platform attributes on customer satisfaction and repurchase intentions. Employing a phenomenological approach, we conducted in-depth interviews and focus group discussions with 15 participants to gain rich insights into user experiences. Thematic analysis revealed key factors influencing satisfaction and loyalty: service quality dimensions (efficiency, reliability, fulfillment, privacy), expectation disconfirmation, perceived usefulness and ease of use, multi-level customer value, relationship quality, electronic word-of-mouth, value co-creation, and phased loyalty formation. Our findings extend customer behavior theory in digital platforms, offering a comprehensive framework for understanding the complex mechanisms underlying user satisfaction and repurchase decisions. The study provides valuable implications for platform operators, highlighting the importance of exceeding customer expectations, enhancing user experience, building trust, leveraging user-generated content, and fostering co-creation processes. Methodologically, we demonstrate the efficacy of qualitative approaches in uncovering nuanced insights in digital service contexts. While acknowledging limitations in generalizability, this research establishes a solid foundation for future investigations into the rapidly evolving domain of online food delivery services. The integrated theoretical approach offers a robust model for analyzing customer behavior in emerging digital service environments, contributing significantly to both academic understanding and practical application in the field of digital service provision and platform management.