• Culinary science and hospitality research
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• v.22 no.7
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• pp.47-57
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• 2016

This study was conducted to verify the relationships among the image of middle-low price chain hotels, service quality, consumption value, and customer emotion by using the AMOS 22.0 statistic package program. Confirmatory factor analysis and structural equation modeling methods employed for identifying the formulated hypothesis model. According to results, first, it is seen that the image of middle-low price chain hotels has positive effect on the service quality. Second, the image of middle-low price chain hotels has positive effect on the consumption value, and the consumption value has positive effect on the service quality. Third, the service quality does not have positive effect on the customer emotion. Last, the image of middle-low price chain hotels has positive effect on the customer emotion. In this study, we attempted to establish the management strategy device of middle-low price chain hotels by analyzing how the image of middle-low price chain hotels affect the service quality, consumption value, and customer emotion. As a result, when it comes to the service quality according to the image of middle-low price chain hotels, the conviction, in other words, the belief of the hotel staffs was the biggest one. In addition, when it comes to the consumption value according to the image of middle-low price chain hotels, the functional value, the kind service of the hotel staffs was seen as the highest satisfaction. More practical and theoretical implications for developing marketing strategy in context of middle-low price chain hotels has been suggested in conclusions.

• Journal of Korean Society for Quality Management
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• v.25 no.3
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• pp.39-50
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• 1997

Markov chain method to evaluate the properties of control charts with variable sampling intervals(VSI0 for simultaneously monitoring several correlated quality characteristics under multivariate normal process are investigated. For comparing the efficiencies and properties of multivariate control charts, we consider multivariate Shewhart, CUSUM and EWMA charts in terms of average time to signal(ATS) and average number of samples to signal(ANSS). We obtained stabilized numerical results with Markov chain method when the number of transient state is greater than 100.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.539-553
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• 2004

This paper models and solves contracting schemes for both when quality is perfectly observable and when quality is not perfectly observable in supply chain. When quality is perfectly observable, the first-best optimal solution which is that the marginal utility of procurer obtained from the quantity and quality supplied by suppliers (the price) is equal to the marginal cost to produce the quantity and quality is obtained. However, when quality is not perfectly observable to procurers the optimal solution cannot be the first-best but the second-best where the price is greater than the marginal cost to produce the quantity and quality and social welfare is less than that of the first-best solution.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.4
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• pp.606-618
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• 2010

The study investigated how 'word of mouth' originates in the chain restaurant industry. It has long been acknowledged that 'word of mouth' is a critical factor for the success of a restaurant business due to its targetability and cost effectiveness. A review of the literature revealed four antecedents of 'word of mouth': service quality, perceived value, satisfaction, and relationship quality. Based on the theoretical/empirical relationships between those constructs, a structural model composed of the hypotheses was proposed. The structural model was tested with data collected from 471 chain restaurant patrons. The structural equation modeling analysis revealed that five constructs in the proposed model are interrelated, and during this process, word of mouth is formed in the chain restaurant industry. A positive relationship between service quality and satisfaction (0.265, p<0.05), service quality and perceived value (0.831, p<0.05), service quality and relationship quality (0.465, p< 0.05), and service quality and WOM (0.263, p< 0.05) were found, indicating that service quality is a key prerequisite for word of mouth and other constructs proposed in the model. It was revealed that perceived value doe not have a direct impact on WOM formation (t=1.275, p=0.202), but a positive relationship between perceived value and satisfaction (0.293, p<0.05) and between satisfaction and WOM (0.627, p< 0.05) were found. Therefore, it was concluded that patrons' perceived value influences word of mouth formation, but that impact is mediated by satisfaction. During this process, relationship quality also plays a mediating role in generating word of mouth. Based on data analysis, theoretical/managerial implications are discussed.

• Journal of Korean Society for Quality Management
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• v.39 no.4
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• pp.464-479
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• 2011

The purpose of this study is that analyzing the causal relationship between Infra, Process and Performance of companies which are executing the Supply Chain Quality Management(SCQM) with their subcontractors and partners. Korean Standards Association(KSA) provides the Supply Chain Quality Management Model and Quality Collaboration Index for 4 years, but a few study has investigated the critical variables and their causal relationship to organizational performance. Therefore we examine the SCQM model and related index and choose the quality, human resource and risk management processes for identifying the path to organizational performance. In addition, exploratory factor analysis is conducted for figuring out the major factors among the 3 processes. Structural Equation Model are successively used for determining which characteristics of the infra and processes are the most critical variables to performance. The data was collected from KSA and composed of 52 companies and 346 their partners. The result shows that risk management process has no significant effect on the organizational performance and pre-production process collaboration.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.107-121
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• 2006

In spite of the increase of the necessity and the interest regarding the SCM in practical business, it is difficult to judge the whole situation of the SCM because the research remain fragmentary as compared with the huge and complicated concept of the SCM. So this study defines dimension of SCM practice and measurements of SCM performance. Through an extensive literature review, the study Identifies seven dimension of SCM practice(partnership, usage of IT tools, information sharing and information quality), five measurements of SCM performance(supply chain flexibility, supply chain integration, customer responsiveness, supplier performance, and partner relationship). Five hypotheses were formulated for the relationship between SCM practice and SCM performance. The important relationships to be tested include ; (1) the direct impact of usage of IT tools on the partnership (2) the direct impact of partnership on the information sharing and information quality (3) the direct impact of SCM practice on the performance of SCM, (4) A moderating effect of top management support on the relationship between SCM practice and SCM performance.

• Industrial Engineering and Management Systems
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• v.13 no.2
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• pp.129-147
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• 2014

This study proposes an optimal operational policy for a green supply chain (GSC) where a retailer pays an incentive for collection of used products from customers and determines the optimal order quantity of a single product under uncertainty in product demand. A manufacturer produces the optimal order quantity of product using recyclable parts with acceptable quality levels and covers a part of the retailer's incentive from the recycled parts. Here, two scenarios for the product demand are assumed as: the distribution of product demand is known, and only both mean and variance are known. This paper develops mathematical models to find how order quantity, collection incentive of used products and lower limit of quality level for recycling affect the expected profits of each member and the whole supply chain under both a decentralized GSC (DGSC) and an integrated GSC (IGSC). The analysis numerically compares the results under DGSC with those under IGSC for each scenario of product demand. Also, the effect of the quality of the recyclable parts on the optimal decisions is shown. Moreover, supply chain coordination to shift the optimal decisions of IGSC is discussed based on: I) profit ratio, II) Nash bargaining solution, and III) Combination of (I) and (II).

• Journal of Information Processing Systems
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• v.18 no.2
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• pp.173-187
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• 2022

A special government agency has been charged with implementing quality management to guarantee the quality of wild-simulated ginseng. However, these processes are carried out by use of documents, and this has resulted in information omission and high document management costs. To solve this problem, this study analyzed the existing quality management process by using a smart contract for the existing offline form and proposed a new quality management system for storing and managing all log data in the blockchain. This system reduced documentation management costs about quality management and recorded information in the previous step through the quality management steps, thus forming a step-by-step record chain. Experiments were conducted by implementing this system, which improved data integrity and reliability. Additionally, sensitive information, such as personal information, was included in the system by use of the off-chain technology.

• Proceedings of the Korean Society for Quality Management Conference
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• 2007.04a
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• pp.498-502
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• 2007

The objective of this study aims at proposing a method of Supply Chain Management using Six Sigma. Six Sigma is at the top of the agenda for many companies that try to reduce cost and improve productivity. This paper explains how Six Sigma can be integrated and processed with Supply Chain Management.

• Journal of Korean Society for Quality Management
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• v.29 no.1
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• pp.101-112
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• 2001

In supply chain, the quality level of assembly factory depends on the quality levels of suppliers and it is very important to integrate efforts improving the quality levels between producer and suppliers, In this paper, we consider an integrated determination problem of quality specification levels of suppliers. The cost model is developed and the optimal policy under a specific model assumption is obtained. A numerical example is studied.