• Korean Management Science Review
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• v.31 no.4
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• pp.117-134
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• 2014

Today the concept of corporate social responsibility has become an essential element for coexistence of corporations and the society. In this study the impact of four responsibilities of business organizations proposed by Archie Carroll (economic, legal, ethical, and discretionary) on customer loyalty through the mediating effect of trust and company-consumer identification is analyzed. A questionnaire survey was conducted for four well-known Korean companies (Dong Suh Food, LG Household and Health Care, Samsung Electronics, and Hyundai Motor). After factor analysis, legal and ethical responsibilities were grouped as the same factor, thus three social responsibilities were finally used for hypotheses testing. Major findings were as follows: First, economic responsibilities had positive impact on honesty trust, professionalism trust, favorableness trust, and company-consumer identification, Second, legal/ethical responsibilities were found to have significant effects on honesty trust, favorableness trust, and company-consumer identification. Third, in the case of discretionary responsibilities, professionalism trust, favorableness trust, and company-consumer identification were revealed to have a significant positive relationship. Fourth, only two trust variables (honesty and professionalism) and company-consumer identification had positive influence on the loyalty of customers. These findings are expected to help decision makers to set up corporate objectives and choose action items for corporate social responsibility. At the last part, implications of the study and future research directions were discussed.

• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.124-132
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• 2007

In hospitality industry many firms choose the franchise system in order to enlarge their market share and to decrease risks. Small businessmen also accept the franchise contract as a good way of starting their business. With the contract franchisees take advantages of marketing, fiance, and operations from franchisers by paying several related fees or royalties. In this study factors influencing franchisees' satisfaction for the contract were identified. And the study also found that there was a significant difference in the degree of influencing among the factors.

• The KIPS Transactions:PartD
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• v.14D no.6
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• pp.701-706
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• 2007

Datawebhouse consists of both web log analysis used for customer management and datawarehouse used for decision support. However, datawebhouse needs complex operations for management in order to transform and integrate data from heterogeneous data sources and distributed systems. We propose a metadata schema in order to enable data integration and data management which are essential in datawebhouse environments. We show that our proposed schema supports datawebhouse development and enables integrated asset management of business information. With ETL metadata for web log extract, we can improve the data processing time of web log.

• Smart Structures and Systems
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• v.14 no.3
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• pp.377-395
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• 2014

Vibration-based fault detection and condition monitoring of rotating machinery, using statistical process control (SPC) combined with statistical pattern recognition methodology, has been widely investigated by many researchers. In particular, the discrete wavelet transform (DWT) is considered as a powerful tool for feature extraction in detecting fault on rotating machinery. Although DWT significantly reduces the dimensionality of the data, the number of retained wavelet features can still be significantly large. Then, the use of standard multivariate SPC techniques is not advised, because the sample covariance matrix is likely to be singular, so that the common multivariate statistics cannot be calculated. Even though many feature-based SPC methods have been introduced to tackle this deficiency, most methods require a parametric distributional assumption that restricts their feasibility to specific problems of process control, and thus limit their application. This study proposes a nonparametric multivariate control chart method, based on multiscale wavelet scalogram (MWS) features, that overcomes the limitation posed by the parametric assumption in existing SPC methods. The presented approach takes advantage of multi-resolution analysis using DWT, and obtains MWS features with significantly low dimensionality. We calculate Hotelling's $T^2$-type monitoring statistic using MWS, which has enough damage-discrimination ability. A bootstrap approach is used to determine the upper control limit of the monitoring statistic, without any distributional assumption. Numerical simulations demonstrate the performance of the proposed control charting method, under various damage-level scenarios for a bearing system.

• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.55-61
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• 2005

We will introduce a new web-based knowledge management system in progress, in which XML-based web information extraction and our structuring knowledge technologies are combined using ontology-based natural language processing. Our aim is to provide efficient access to heterogeneous information on the web, enabling users to use a wide range of textual and non textual resources, such as newspapers and databases, effortlessly to accelerate knowledge acquisition from such knowledge sources. In order to achieve the efficient knowledge management, we propose at first an XML-based Web information extraction which contains a sophisticated control language to extract data from Web pages. With using standard XML Technologies in the system, our approach can make extracting information easy because of a) detaching rules from processing, b) restricting target for processing, c) Interactive operations for developing extracting rules. Then we propose a structuring knowledge system which includes, 1) automatic term recognition, 2) domain oriented automatic term clustering, 3) similarity-based document retrieval, 4) real-time document clustering, and 5) visualization. The system supports integrating different types of databases (textual and non textual) and retrieving different types of information simultaneously. Through further explanation to the specification and the implementation technique of the system, we will demonstrate how the system can accelerate knowledge acquisition on the Web even for novice users of the field.

• Journal of the Korean Dietetic Association
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• v.4 no.2
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• pp.152-159
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• 1998

The purpose of this study was to compare the customer satisfaction index(CSI) between 8 self-operated foodservices and 6 contract foodservices in Pusan and the Kyeung Nam area. There were 438 subjects for self-operated foodservices, and 384 for contract foodservices. The questionnaire was used in this study as a survey method and was concerned with quality of food(Ⅰ)(Ⅱ), sanitation, facilities, information service, and employee sevice area. Data from customers were analyzed by using the $SPSSPC^+$ program, and in terms of frequency, and t-test. The results are as follows; 1. Sanitation was the most important factor in both self-operated and contract foodservices. 2. Contract foodservices showed a higher mean rating in both facilities and employee service than did self-operated foodservices in the satisfaction. 3. In self-operated foodservices, men had a significantly(p>0.05) higher CSI in all areas then women, but contract foodservices did not have this difference. 4. Contract foodservices had a higher CSI in quality of food(Ⅰ), sanitation, facilities, information service, and employee service area, and was also in higher total CSI, than self-operated foodservices.

• Journal of Applied Reliability
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• v.8 no.3
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• pp.113-124
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• 2008

In reliability engineering, failure reporting, analysis, and corrective action system (FRACAS) is an useful tool for effective failure reporting and related operations. FRACAS is generally mainly focused on implementation of its closed-loop process, but also includes various related information which has to be effectively managed such as failure types, failure modes, failure mechanisms, and corrective actions. In this study, we adopt and utilize the concept of process knowledge, and create it through abstraction of FRACAS information. At each step of closed-loop process, the necessary type of knowledge, priority and usability are clearly defined. This study also suggests corresponding management tools such as business process management system, knowledge management system, and their key elements and functions to deal with process knowledge. A prototype system using simple closed-loop process with its process knowledge is presented to demonstrate the feasibility of the proposed work.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.58
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• pp.59-69
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• 2000

Development of digital information and internet technology causes the changes of technology environments and companies, and the variety of customer needs has been dynamically changed in terms of integrating information system with customer satisfaction. Moreover a new logistics concept is needed through the sharing information between suppliers and consumers, which maximizes the level of customers service and its flexibility by changing functional-oriented to process-oriented. In other words, Supply Chain Management (SCM) is now considered as a key aspect of business, which controls the flows of information, funds, and goods in the supply chain. Rationalization of transport-delivery system will be one of the most important issues on logistics management to the domestic companies. The companies need the effective delivery system. Especially in the case of delivery system from distribution centers to customers or vendors, it might take a long time to control the delivery system manually because it would be hard to apply the automatic vehicle routing algorithm effectively considering all the practical constraints. Thus this study develops a heuristic algorithm of automatic vehicle delivery support system in terms of grouping by short ranges of vehicle movement utilizing postal coordinates, which satisfies a variety of realistic constraints and reduces controlling time of manual operations. In addition, the performance of the algorithm developed in this study is evaluated through the case study.

• Agribusiness and Information Management
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• v.11 no.2
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• pp.5-15
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• 2019

The world of smart agribusiness is still far from being fully and effectively applied by the Italian entrepreneurial fabric. In part, this is due to the fact that its potential and important connections with the technological world of reference are not fully known. The imperative is therefore: to learn how to manage all the processes that characterize the agricultural chain in a synergistic way, from production to the sale of the product to the final consumer. It is therefore essential to know every minimum aspect of the supply chain considering the current strengths on which to leverage but especially the weaknesses on which to intervene thanks to the use of technology available on the market. Today, the supply chain is still considered as a set of phases, one consecutive to the other, as if they were detached from each other. However, in order to operate efficiently, each step should be interconnected: from the farmer's decision to produce an agricultural good to the choice of production factors, from the implementation of harvesting and post-harvest operations to processing, from the selection of goods suitable for sale to the logic of distribution on the target territory. This work investigates the potential strategy using digital technologies in order to make dynamic the agribusiness supply chain, especially because in Italy the agri-food is one of the most important economic sectors but it is far from the most innovative trends available on the market.

• Journal of Korean Society for Quality Management
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• v.48 no.3
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• pp.381-393
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• 2020

Purpose: The purpose of this study was to find useful solutions by analyzing causes and results about defects on mechanical drawing notes and provide an automated tool with solutions to mechanical engineers. Methods: The collected data for defects on mechanical drawing notes were from ongoing development and mass production projects. Various measurement methods were used based on the Lean 6 Sigma analysis such as Process analysis, C&E diagram and some statistical analysis. Results: The results of this study are as follows; The results of the Lean 6 Sigma analysis, the validity of the selected indicators for improving drawing notes quality was verified through the verification of cause variables. The strategy established to improve the mechanical drawing notes was reflected as an automated program, and the defects were within a manageable range and achieved target Sigma level. Conclusion: Through the application of the "Mechanical drawing notes automation tool", it is expected to resolve the "Voice of Customer, VOC" and "Voice of Business, VOB".