• Journal of Service Research and Studies
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• v.13 no.3
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• pp.57-69
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• 2023

Early morning delivery possesses distinct characteristics that differentiate it from standard delivery services. This service typically involves delivering products to customers during the early morning hours, primarily before 7 AM. While online early morning delivery offers various advantages from a customer perspective, it also presents challenges that sellers and online shopping companies need to overcome. The early morning delivery market is experiencing significant growth in the online food retail sector, incorporating both PC-based online shopping and mobile shopping. The objective of this research is to identify the factors influencing customer satisfaction and the intention to reuse in the context of early morning delivery for online shopping. To model the online shopping environment with early morning delivery, independent factors were categorized into three types: System Properties, Product Characteristics, and Delivery Characteristics. This study examined the relationships among these three independent factors, the mediating factor of customer satisfaction, and the dependent variable of the intention to reuse. To conduct this research, empirical validation of the research hypotheses was carried out using the final dataset for analysis. Within this study, the previously explored System Properties, Product Characteristics, and Delivery Characteristics were established. Summarizing the findings of the analysis, it was discovered that System Properties and Product Characteristics played a significant role in determining the quality of early morning delivery services for online shopping. While product diversity and convenience had a positive impact, it is noteworthy that Delivery Characteristics did not influence customer satisfaction. Consequently, it can be concluded that there is no effect on the intention to reuse.

• Korea Journal of Hospital Management
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• v.8 no.1
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• pp.81-94
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• 2003

This paper aims at developing a prediction model and analyzing a sensitivity for the outpatient's overall satisfaction on utilizing hospital services by using data mining techniques within the context of customer satisfaction. From a total of 900 outpatient cases, 80 percent were randomly selected as the training group and the other 20 percent as the validation group. Cases in the training group were used in the development of the CHAID and Neural Networks. The validation group was used to test the performance of these models. The major findings may be summarized as follows: the CHAID provided six useful predictors - satisfaction with treatment level, satisfaction with healthcare facilities and equipments, satisfaction with registration service, awareness of hospital reputation, satisfaction with staffs courtesy and responsiveness, and satisfaction with nurses kindness. The prediction accuracy rates based on MLP (77.90%) is superior to RBF (76.80%).

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.75-91
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• 2023

As the business-to-customer (B2C) online market expands after the COVID-19 pandemic, the logistics industry has been constructing automated warehouses to handle multi-product, low-volume logistics. When constructing a logistics automation warehouse, it is crucial to validate that the facility's performance and operational logic are designed to meet the required throughput of the automated warehouse from the system design phase. This study proposes simulation-based validation and optimal alternatives for an H logistics automation warehouse in Iksan, Jeollabuk-do. Firstly, we focused on the box supply and packing processes, which are related to the release process, among the entire logistic processes. Then, we analyzed the potential bottlenecks in the target process and designed and implemented a discrete-event simulation model based on the analysis results. The simulation experiments showed that the facility parameters and operational logic identified in the system design phase did not satisfy the performance requirements of the entire automated warehouse. Additional experiments were conducted to suggest alternatives to meet the system performance requirements by changing the facility parameters and operational logic. We expect that the proposed study will be utilized in the future, not only in the system design phase but also in the system construction phase, for verification purposes to ensure that the construction proceeds according to the design.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.79-98
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• 2011

This paper proposes a semantic recommendation technique for a personalized e-commerce portal. Semantic recommendation is achieved by utilizing the attributes of products. The semantic similarity of the products is merged with the rating information of the products to provide an accurate recommendation. The recommendation technique also analyzes various attitudes of the customer to evaluate the implicit rating of products. Attitudes are classifies into three types such as "purchasing product", "adding product to shopping cart", and "viewing the product information." We implicitly track customer attitude to estimate the rating of products for recommending products. Also we implement a session validation process to identify the valid sessions that are highly important for giving an accurate recommendation. Our recommendation technique shows a high degree of accuracy as we use age groupings of customers with similar preferences. The experimental section shows that our proposed recommendation method outperforms well known collaborative filtering methods not only for the existing customer, but also for the new user with no previous purchase record.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.433-442
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• 2011

As software is varied and grew in size, the importance of clear understanding and representing customer's need, has been emphasized. It is not easy to drive and define critical system needs, since requirements in early stage of the development, is and conceptual. Technical perspective view, Several theoretical analysis methods and validation techniques are introduced, but in practice, it is hard to drive clear customer's requirement. In this paper, to drive clear customer's requirements, Macrostruktur concept of textlinguistics is used. First, Macrostruktur of textlinguistics is used to analysis descriptive requirements. Second, Macrostruktur-rule is applied to analyzed Macrostruktur data in order to derive Macrostruktur-propositions. Finally, it is proposed to generating Use-case model using derived Macrostruktur-propositions.

• International Journal of Automotive Technology
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• v.7 no.7
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• pp.841-846
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• 2006

This paper presents a numerical approach to optimizing vehicle fuel economy in a higway bus. The method described is based on using a commercial software vehicle simulation to identify the relative efficiency of each of the vehicle systems, such as the engine hardware, engine software calibration, transmission, cooling system and ancillary drives. The simulation-based approach offers a detailed understanding of which vehicle systems are underperforming and by how much the vehicle fuel economy can be improved if those systems are brought up to best-in-class performance. In this way, the optimum vehicle fuel economy can be provided to the vehicle customer. A further benefit is that the simulation requires only a minimum number of vehicle testing for initial validation, with all subsequent field test cycles performed in software, thereby reducing development time and cost for the manufacturer.

• Journal of Korean Society for Quality Management
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• v.27 no.3
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• pp.154-169
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• 1999

In many fields, Kansei engineering, often called Human Sensibility Ergonomics, has been applied to the product development for customer's satisfaction. Also, it may use to a lot of products and environments related to human's convenient life. If the measurement and the validation of human sensibility are accomplished subjectively and qualitatively, then a good design is expected. This paper considers an application of one of the Kansei engineering's techniques, extraction and categorization of the sensory words, to the products of mobile telecommunication units. First, 1st sensory words were extracted from Korean dictionary, catalogues, pamphlets, etc. Second, 2nd sensory words were extracted from the questionnaires, elimination of synonym, advise of expert, etc. Third, final sensory words were extracted from questionnaires, etc. Fourth, ask to answer the questionnaires with the extracted words in the five-grade semantic differential. Finally, The factor analysis is used to categorize the extracted sensory words, and shows that the words can be grouped into some categories.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.4
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• pp.83-97
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• 2005

We could confirm through this study that in the company which has secured its agility in an information technology dimension, a process dimension and an organization behavior dimension as a real time enterprise, various agility competences of that company are used more effectively for productivity Improvement, development on new products and customer satisfaction. Therefore, based on these determinant factors, it has been proved that an individually differentiated investment of technical and organizational resources for development and innovation of new products has contributed affirmatively to get a more efficient enterprise performance : and, in this point, it is verified again that the agility secured through a conversion toward the real time enterprise (RTE) is a more effective plan to increase the enterprise performance.

• The Journal of Fisheries Business Administration
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• v.44 no.2
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• pp.51-68
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• 2013

The objective of this study is to analyze how consumption value affects customer satisfaction toward eco-friendly seafood products. Moderating role of gender is also examined. For empirical validation of our model, data were collected from a cross-sectional survey of 307 consumers in the South Korea, who have bought a eco-friendly seafood, a representatives eco-friendly product. The results demonstrated several important findings. First, emotional consumption value, social consumption value and functional consumption value had significant positive effects on eco-friendly seafood product satisfaction, Second, interaction effect of social value and gender had a positive effect on satisfaction. Third, interaction effect of functional value and gender had a negative effect on satisfaction. Theoretical and managerial implications are suggested.

• Transactions of the Korean Society of Automotive Engineers
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• v.14 no.5
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• pp.181-185
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• 2006

A study to get better vehicle fuel economy is described based on an express bus. The approach is based on using a commercial software vehicle simulation to identify the relative efficiency of each of the vehicle systems, such as the engine hardware, engine software calibration, transmission, cooling system and ancillary drives. The simulation-based approach offers a detailed understanding of which vehicle systems are underperforming and by how much the vehicle fuel economy can be improved if those systems are brought up to best-in-class performance. In this way, the optimum vehicle fuel economy can be provided to the vehicle customer. A further benefit is that the simulation requires only a minimum of vehicle testing for initial validation, with all subsequent field test cycles performed in software, thereby reducing development time and cost for the manufacturer.