• Korean Journal of Community Nutrition
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• v.29 no.4
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• pp.304-317
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• 2024

Objectives: This study aimed to evaluate the importance and performance of sodium reduction practices among childcare center cooks in the Yongin area before and after a 3-month salinometer support program. Methods: In total, 313 cooks employed in childcare centers in Yongin were surveyed before and after participating in a salinometer support program. The survey included questions on general information, sodium-related dietary habits, and perceived importance and performance levels of sodium reduction approaches in the purchasing, cooking, and serving areas. The centers were divided into childcare centers registered as group-feeding facilities (FS group, n = 68) and those not registered as such (non-FS group, n = 245). The differences between the two groups were analyzed. Results: The overall importance levels increased significantly after the program in both the FS-group (P < 0.001) and non-FS group (P = 0.005). The overall performance levels also increased significantly in both groups (P < 0.001 for all). Consequently, the significant difference between the importance and performance levels disappeared in both groups after the program. However, unlike the FS group, which showed no significant differences between the importance and performance levels after the program in all three areas, the non-FS group still demonstrated lower performance levels than importance levels in the purchasing (P = 0.011) and serving (P = 0.034) areas after the program. Conclusions: The use of salinometers significantly enhanced the performance and importance of low-sodium management practices among cooks in childcare centers, especially in the FS group. The continuous monitoring of salinity measurements and tailored education specialized for the FS and non-FS groups are recommended.

• Management & Information Systems Review
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• v.33 no.1
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• pp.237-261
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• 2014

This study is to investigate the impact of information technology implementation on supply chain risk and performance. It focuses on how information technology adoption affects supply risk as well as performance. It collected one hundred fifty nine responses from supply executives and supply and purchasing managers of U.S manufacturing firms by applying a survey methodology. The research results provide empirical evidence that the use of information technology in the supply chain mitigates supply risk and improves performance. More importantly, information technology adoption involves three aspects: inbound and outbound communications, internal communications and administration and finally, mitigation of supply risks and improved performance via order taking and procurement. This research emphasizes the importance of IT implementation in supply risk management. It also points out how information technology adoption facilitates the impact of information technology in risk mitigation in the supply chain and in performance. Thus, supply and purchasing managers need to consider IT implementation and adoption when establishing their risk mitigating strategies within the supply chains.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.99-102
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• 2000

In the supply chain network design, how to select the best location, capacity configuration of the suppliers and to assign manufacturers orders are a challenging issue. Especially when multi-tiers'suppliers are existed, the performance of supply chain is influenced by 2$\^$nd/ and 3$\^$rd/ suppliers. Supplier selection is multi-criteria problem which includes both qualitative and quantitative factors in supply chains. In order to select the best supplier it is necessary to make a trade off between these two factors such as cost, product quality, capacity, production lead time, deliver lead time and transportation lead tine of supplier constraints existed in multi-tiers supplier purchasing chain. In these circumstances, purchasing agents should decide two problems: which is the best supplier in each tier and how much should be purchased from each selected supplier. This research is intended to develop an integration of an analytical hierarchy process (AHP) and mathematical modeling proposed to consider two factors which may be conflicted in choosing the best supplier in each tier and placing the optimum order quantities to the supplier among multi-tiers suppliers.

• Industrial Engineering and Management Systems
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• v.11 no.1
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• pp.1-10
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• 2012

Supplier selection is an essential task within the purchasing function of supply chain management because it provides companies with opportunities to reduce various costs and realize stable and reliable production. However, many companies find it difficult to determine which suppliers should be targeted as each of them has varying strengths and weaknesses in performance which require careful screening by the purchaser. Moreover, information required to assess suppliers is not known precisely and typically fuzzy in nature. In this paper, therefore, fuzzy multi-objective linear programming (fuzzy MOLP) is presented under fuzzy goals: cost minimization, service level maximization and purchasing risk. To solve the problem, we introduce an enhanced two-phase approach of fuzzy linear programming for the supplier selection. In formulated problem, Analytical Hierarchy Process (AHP) is used to determine the weights of criteria, and Taguchi Loss Function is employed to quantify purchasing risk. Finally, we provide a set of alternative solution which enables decision maker (DM) to select the best compromise solution based on his/her preference. Numerical experiment is provided to demonstrate our approach.

• Information Systems Review
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• v.20 no.4
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• pp.25-41
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• 2018

Applying predictive analytics to enterprise processes is an effective way to reduce operation costs and enhance productivity. Accordingly, the ability to predict business processes and performance indicators are regarded as a core capability. Recently, several works have predicted processes using deep learning in the form of recurrent neural networks (RNN). In particular, the approach of predicting the next step of activity using static or dynamic RNN has excellent results. However, few studies have given attention to applying deep learning in the form of dynamic RNN to predictions of process performance indicators. To fill this knowledge gap, the study developed an approach to using process mining and dynamic RNN. By utilizing actual data from a large domestic company, it has applied the suggested approach in estimating timely stocking in purchasing process, which is an important indicator of the process. The analytic methods and results of this study were presented and some implications and limitations are also discussed.

• The Korean Journal of Food And Nutrition
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• v.32 no.1
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• pp.50-60
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• 2019

The importance and satisfaction with the purchasing characteristics and choice attribute of home meal replacement (HMR) products for consumers aged between 20 and 40, or over 50. In addition to identify the factors that must be first considered in the development of HMR products importance-performance analysis. 791 consumers aged between 20 and 40, or over 50, living in Seoul have experience in purchasing HMR participated in the survey. The survey consisted of four sections: The purchasing characteristics of HMR, the importance and satisfaction with HMR choice attribute, and general questions. T-tests and IPA were conducted to compare the groups of consumers aged between 20 and 40, or over 50. The factor analysis show the following results: 0.899 for "convenience", 0.094 for "hygiene", 0.871 for "quality", 0.834 for "taste", and 0.822 for "price". The average score of the importance of the choice attribute when purchasing HMR products 3.50. For consumers aged between 20 and 40, the score 3.49. For consumers over 50, the score 3.52. There is a significant difference "hygiene (p<0.001)", "quality (p<0.05)", and "price (p<0.05)". For consumers aged between 20 and 40, the score 3.72. For consumers over 50, the score was 3.78. There a significant difference only in "hygiene (p<0.05)". The results of the IPA demonstrate that the categories that belong to "Focus here" are "new HMR products" and "diverse HMR products" for all consumers aged between 20 and 40 and over 50. Hence, food companies should endeavor to develop new and diverse HMR products first.

• The Transactions of the Korea Information Processing Society
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• v.7 no.5S
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• pp.1708-1718
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• 2000

In the operating of electronic commerce system, the information about consumer purchasing intention to product through e-mail has caused the problems in the management aspects. These are the using of information again and response to the situations promptly in consumer purchasing intension, etc. Moreover, it has brought out the issues timely to operate the electronic commerce system strategically with reapplication of consumer intention information. In this studies, the agent system AWEC(Agent Windows for EC) was proposed as an alternative paln, which charges of he getting and transmitting information of consumers intension in the electronic commerce system. In this proposed AWEC, the functional structure and working allocation were executed. And also eh performance of the proposed system is analyzed and evaluated through experiment.

• IE interfaces
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• v.22 no.2
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• pp.165-173
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• 2009

This paper considers a two-component assembly system that makes different types of purchasing contracts by component type and studies the issue of coordinating those contracts. Acquisition of type 1 component is based on the long-term contract. In contrast, type 2 component is intermittently purchased under the sort-term contract. We identify the structural properties of the optimal short-term contract and investigate how the changes in system parameters affect the optimal performance. To provide managerial insights, we compare the short-term and long-term contracts for type 2 component and discuss the conditions that make the short-term contract preferable to the long-term contract. We also present a result which shows that coordinating the contracts of type 1 and type 2 components can be significantly profitable over uncoordinating them.

• Journal of Information Technology Services
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• v.1 no.1
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• pp.17-27
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• 2002

Buyer-carts to support the purchasing process in the B2B EC platform, can be categorized as s-cart, i-cart, and b-cart depending upon its residing sites : seller, intermediary, and buyer sites. In this paper, after proposing the desired features of buyer-carts in B2B EC as identification, collection, trashing, ordering, payment, tracking, recording, purchasing decision support, and transmission of records to e-procurement systems, we try to analyze each buyer-cart qualitatively from such viewpoints. Moreover, we propose an efficiency evaluation model for quantitative analysis. By setting variables from interview of employees in 30 listed companies In Korea, we try to evaluate the efficiency of buyer-carts in B2B EC. From this paper, we show that the b-cart platform is more efficient than other buyer-carts especially in B2B EC.

• Journal of Information Technology Applications and Management
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• v.29 no.5
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• pp.13-25
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• 2022

The purpose of this study is to explore the factors that influence the purchase of AI speakers in China. We integrate the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-technology fit (TTF) model into one model and put forward assumptions. According to the characteristics of AI speakers, we selected 6 independent variables, such as Performance Expectation, Effort Expectation, Social Influence, Facilitating Conditions, Task and Technology-characteristics. The final impact on purchase behavior is evaluated through Task-technology fit and purchase intention. After counting 478 samples, through SPSS22.0 and AMOS analysis, hypotheses have been proved by strong experimental data, except facilitating conditions. These results also imply that improving the technical level of AI speakers and enhancing consumers' purchasing intention are the central line of marketing. Based on this, we put forward several suggestions to marketers, including strengthening the research and development of AI speaker technology, and building a circle of friends of AI speakers.