• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.2
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• pp.25-31
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• 2013

This paper analyzed the management quality activities and performance based on industrial types. We divided the business into four industrial types, manufacturing industry, service industry, medical institution and public enterprise. We analyzed the differences of the elements of management quality in industrial types. The results show that leadership, measurement, analysis and knowledge management and workforce focus categories are not significant and strategic planning, customer and market focus, process management and performance categories are significant. This paper proposes the directions of management quality activities and performance according to industrial types based on these results.

• Information Systems Review
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• v.8 no.2
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• pp.119-138
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• 2006

Association Rule Mining has been successfully used for mining knowledge in static environment but it provides limited features to discovery time-dependent knowledge from multi-point data set. The aim of this paper is to develop a methodology which detects changes of customer behavior automatically from customer profiles and sales data at different multi-point snapshots. This paper proposes a procedure named 'Recursive Change Mining' for detecting continuous change of customer purchase behavior. The Recursive Change Mining Procedure is basically extended association rule mining and it assures to discover continuous and repetitive changes from data sets which collected at multi-periods. A case study on L department store is also provided.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.171-184
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• 2015

Nowadays, mobile commerce is having an increasingly profound impact on our daily lives, and offer interesting and advantageous new services. Mobile payment is an emerging and important application of mobile commerce in smart work, enabling users to use their mobile devices (especially mobile phones) for paying goods and services wherever they go. The appearance of m-payment is expected to provide us a convenient and bright future to enjoy. That is the common trend on over the world, but in Vietnam, although the number of smart phone users has been increasing rapidly, the adoption of m-payment system still didn't succeed completely. The research reviewed literature regarding mobile payment services, analyzed the impact of customer characteristics and system characteristics on m-payment adoption in Vietnam. To analyze the adoption behaviors of m-payment users, m-payment research model which consists of three customer-characteristics (m-payment trust, personal innovativeness, m-payment knowledge) and four m-payment system characteristics (mobility, reachability, convenience, compatibility) were studied. The results indicate that perceived usefulness, trust, and compatibility are the important predictors to the intention to use m-payment. This study will assist m-payment services suppliers in implementing appropriate business models and service strategies to successfully attract customer to use m-payment in Vietnam, allowing managers to exert appropriate investment, time, and effort for m-payment system development in designing smart working.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.231-241
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• 2021

The consulting industry is also growing as the use of management consulting increases as the importance of management strategies for the survival of companies due to rapid environmental changes is highlighted. As a result, competition among consulting firms is intensifying, and securing competitiveness is essential. This study tried to confirm the method of securing competitiveness of consulting firms from the perspective of organizational competitiveness through organizational effectiveness. As the consulting service is a knowledge service field, an empirical analysis was conducted for consultants who performed it because professional human resources were a core technology. Exploratory factors, reliability analysis, and regression analysis were performed using SPSS 22.0. As a result of a study on the effect of consultants' organizational effectiveness on customer orientation, it was found that the consultant's organizational commitment and organizational performance had a significant effect. It was possible to confirm the importance of intrinsic motivation to secure the competitiveness of consulting firms in the changing environment. This presented practical implications for organizational management regarding the continuous growth of consulting firms.

• CRM연구
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• v.3 no.2
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• pp.69-88
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• 2010

This comparative study conducted to examine the differences between Korean and Chinese consumers. The specific goals of the study were as follows; First, It was to investigate the influences of COO(Country of Origin) image on the customer…s buying intention through the brand association knowledge. It is also aimed at analyzing the moderating effects of consumer's ethnocentrism on the influence of brand association knowledge on the buying intention. To test the hypotheses, 117 questionnaires were collected from university students in Korea and 119 questionnaires did from China and put to the test with SPSS 17.0 and AMOS 7.0. The results indicated the followings: For consumers in both countries, the COO image had not influences on the buying intention. For Korean consumers the COO image had positive impacts on the brand association knowledge, which in turn had positive impacts on the buying intention. For Chinese consumer, COO image did not have influences on the brand association knowledge, but the brand association knowledge had positive impact on the buying intention. In addition, the consumer's ethnocentrism had moderating effects on the influences of the brand association knowledge on the buying intention.

• Journal of Internet Computing and Services
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• v.5 no.1
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• pp.33-39
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• 2004

In this paper, so that government official in target extent of relevant shame capacitates CMM measuring achievement result by each process as quantitative because do standard, repeat and achieves gap analysis and estimation solidify knowledge management of information base enabling "Quality control, production management, cost control, integral management of knowledge", Solidify customer service through "high-quality, differentiation" of information. Establish administration and supervision item to reach 4 steps level in information ability measurement in formation to prove business efficiency through process optimization and improves formation maturity through voluntary effort of formation continuously. Suggested model who analyze and evaluates application in domestic SI specialty company.I specialty company.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.45
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• pp.101-112
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• 1998

Data mining, which is also referred to as knowledge discovery in database, means a process of nontrivial extraction of implicit, previously unknown and potentially useful information (such as knowledge rules, constraints, regularities) from data in databases. The discovered knowledge can be applied to information management, decision making, and many other applications. In this paper, a new data mining problem, discovering sequential patterns, is proposed which is to find all sequential patterns using sampling method. Recognizing that the quantity of database is growing exponentially and transaction database is frequently updated, sampling method is a fast algorithm reducing time and cost while extracting the trend of customer behavior. This method analyzes the fraction of database but can in general lead to results of a very high degree of accuracy. The relaxation factor, as well as the sample size, can be properly adjusted so as to improve the result accuracy while minimizing the corresponding execution time. The superiority of the proposed algorithm will be shown through analyzing accuracy and efficiency by comparing with Apriori All algorithm.

• IE interfaces
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• v.11 no.2
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• pp.159-176
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• 1998

In the motor manufacturing system with the properties of short delivery and order based production, the process plan is performed individually for each order by the expert of process plan after the completion of the detail design process to satisfy the specification to be required by customer. Also it is hard to establish the standard process plan in reality because part routings and operation times are varied for each order. Hence, the production planner has the problem that is hard to establish the production schedule releasing the job to the factory because there occurs the big difference between the real time to be completed the process plan and the time to be required by the production planner. In this paper, we study the decision supporting system for the process plan based on knowledge base concept. First, we represent the knowledge of process planner as a database model through the modified POI-Feature graph. Then we design and implement the decision supporting system imbedded in the heuristic algorithm in the client/server environment using the ORACLE relational database management system.

• Journal of Information Management
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• v.31 no.1
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• pp.1-11
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• 2000

Korea Institute of Industry and Technology Information(KINITI) provides the mailing service(Techno-Radar) of information on new technologies, products, and industrial trends to activate information distribution and to build a customer-centered information providing system. The information is classified into the manufacture industry, knowledge industry, and general information. Users can receive these information of their interest via e-mails. This report describes the ways to post information and to register and also emphasizes the importance of providing original materials, analysis and evaluation data of the industries as well as the mailing service to set up a user-centered information service system in the future.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.66-77
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• 2021

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.