• Journal of the Ergonomics Society of Korea
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• v.31 no.6
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• pp.793-800
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• 2012

Objective: This study investigated the problems that could be faced with when engineers try to improve the affective quality using the DMAIC model. Background: Affective quality is considered one of the most influential factors for the competitive power of consumer products and many engineers make effort to improve the affective quality. Since the Six Sigma process is effective and wide-used method for quality improvement, it can also be used to improve the affective quality. However six sigma tools cannot be directly used for affective quality because of the subjective and qualitative characteristics of the human affection. Method: Investigate the goals, processes and key factors of DMAIC model and find the difficulties to use six sigma tools for the affective quality. Results: Most of the problems arise from measuring and quantifying the human affective response level and understanding the relationship between the human affective factors. Conclusion: Both the protocol for measuring human affection and the monitoring system to find the affective response change for the product or service are required. Application: The results of this study could be helpful for the engineers not specialized in ergonomics to improve the affective quality in systematic approach.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.3
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• pp.21-25
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• 2004

In today's mass production/consumption society, there are many important constituents people need to have/do for their happy life. Very few People think that among those components enjoying Pro-sports in their life is essential, and Many business companies are interested in owning/operating pro-sports teams. Thus, many studies have been progressed on sports management or sports marketing domestically and abroad. This paper studied the preference relationship between subject's majors and products/service and pro-sports. We constructed hypotheses about the relationship and tested them by using ANOVA and Tuckey tests. We found significant results that preference for coke/cider is influenced by subject's majors, and that preference for pro-baseball, pro-football, and pro-basketball is also influenced by subject's major, etc. As the results, we can have important information about who are the most important customers and who should be target customers for marketing and promotion, and with the information related business companies can attain higher profitability and less loss through more effective sports marketing.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.3
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• pp.22-29
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• 2010

Six sigma has been the most influential management innovation tool in order to achieve the customer's satisfaction and keep the competition in the age of limitless competition. The success in six sigma is to find the correct CTQ (Critical to Quality). QFD (Quality function deployment) is the efficient too ever created to tie product and service design decisions directly to customer wants and needs. One of the mistakes in QFD is to analyze using an inconsistent HOQ (House of quality) chart. An inconsistent HOQ chart is one in which the information from the correlation matrix is inconsistent with that from the relationship matrix. This study presents the consistency check and inconsistency check in case of failing the consistency check. Also we propose the procedures using the Limiting Probability in correlation matrix and the Median Rank in relationship matrix in order to be consistent in HOQ chart.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.71-85
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• 2014

This study proposes the future strategy of semiconductor companies corresponding to the growth of cloud computing. Cloud computing is the delivery of IT resources such as hardware and software as a service rather than a product, and it is expected to significantly change the IT market. By employing the scenario planning method, this study develops a total of eight scenario cases, and presents the three possible scenarios including the best market, the worst market, and the neutral market scenario. This study suggests the future strategy of semiconductor companies based on the best market scenario (increasing firms' IT expenditure, increasing the complexity and performance of devices, the frequent replacement of devices). The suggested future strategy of semiconductor includes that the semiconductor companies need to strengthen their price competitiveness, secure the next generation technologies, and develop the better capability for market prediction with the growth of cloud computing. This study will help semiconductor companies set up the strategy direction of technology development, and understand the connections between cloud computing and the memory semiconductor industry. This study has practical implications for semiconductor industry to prepare for the future of cloud computing.

• Journal of the Korean Home Economics Association
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• v.35 no.5
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• pp.249-264
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• 1997

The purpose of this study was to provide the reference information for user and potential users of apparel CAD system is Korea. Two interviews were carried out for the study. The apparel CAD system of Assyst, Gerber and Yuka was selected for technical comparative study. The results were as follows: 1. The future development of the apparel CAD system is the transfer of the developed pattern design from a 3D design system and of CIM concept. 2. The share of data is working closely in a module function. So the Assyst system provide connectivity and communication between all apparel CAD system's module and other automation programs. This system is suitable for CIM production line. 3. The Gerber system is developed the Apparel CAD system which is given by the CAM system's technical ability. This system is given high insurance of ability to the service and data transportation with other systems from users in the Korea. 4. The Yuka system is developed pattern making by the Apparel CAD system. This system's different methods which is compared with other systems are the split grading and auto pattern making. So this system is suitable for users which want to product many items and a little amount garment by using the Apparel CAD system.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.191-200
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• 2020

This research paper examines the causal relationship between India's economic growth and sectoral contribution to Gross Domestic Product (GDP) and vice versa, in the short-run and long-run, over a 10 years time period. Johansen's method of cointegration is used to study the cointegration between the sectoral contributions to Indian GDP vis-à-vis India's economic growth. Further, the route of interconnection between economic growth and sectoral contribution is tested by using Vector Auto Regression (VAR) model. Special attention was given for investigating impulse responses of economic growth depending on the innovations in sectoral contribution using time-series data from 1960 to 2015. This paper highlighted a dynamic co-relationship among industrial sector contribution and agricultural sector contribution and economic development. In the long run, one percent change in industrial sector contribution causes an increase of 3.42 percent in the economic growth and an increase of 1.12 percent in the primary sector contribution, while in the short run industrial and service sector contributions showed significant impact on economic development and agriculture sector. The changing composition of sector contribution is going to be an important activity for the policymakers to monitor and control where the technology and integration of sectors play a significant role in economic development.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.455-466
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• 2020

The purpose of the paper is to explore the country-of-origin (COO) influence on the buying decisions of the United Arab Emirates (UAE) consumers. The collected data from 370 consumers were summarized and coded by using Software R Studio and Microsoft Excel. The independent variables were analyzed and tested for their significant impact on the dependent variable, final buying decision of the product/service based on its country of origin. The selected hypotheses tested by administering the Kruskal-Wallis (K-W) hypothesis testing technique. The researchers identified that UAE consumers buying decisions influenced mainly by the country of origin of the products and services. The demographic variables like age, education, country of origin influential factors, country of choice was not displaying any significant impact on the buying decisions of consumers. The survey is limited to cover the general consumers of the country who are randomly selected from Dubai and Sharjah emirates. The study is beneficial to all the types of marketers, including domestic and international companies, who have plans to know the exact influence on consumers' buying decisions. The present research paper is original and provides empirical evidence on the country of origin's impact on the buying decisions of different products/services in the UAE.

• Journal of Distribution Science
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• v.18 no.11
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• pp.15-22
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• 2020

Purpose: A marketing strategy for private institutions requires marketers to leverage consumer behaviors and educational psychologies when advertising and promoting product portfolios. Indeed, understanding consumers can make marketers more effective, and the purpose of this research is to tackle private institutions' education marketing by combining marketing theories and learning theories. Research design, data and methodology: The content analysis used in this study will be suitable because there exists numerous prior studies regarding marketing strategy and educational theories. Therefore, the current author could obtain and collect adequate textual facts from much of the literature review. Results: Marketing strategies that are mixed with educational theories increase consumer enrolment due to perceived usefulness, and this implies that an adequate marketing model could help improve sustainability and income as a result of enrollment in private educational institutions. The research also identified that marketing is connected to psychology and that marketers can exploit educational and psychological theories to increase successful enrolment in private educational institutions. Conclusions: Most importantly, the target market for private educational institutions is diverse, and institutions can use direct marketing to appeal to specific audiences. Also, the research implies that diversification strategies can increase enrolment if marketers exploit behavioral learning theories in the marketing process.

• The Research Journal of the Costume Culture
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• v.15 no.1 s.66
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• pp.98-112
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• 2007

The purpose of this study was to identify the differences in store evaluative criteria, clothing evaluative criteria, and purchasing behavior for casual wear among groups with different types of shopping orientation. Data were collected from 175 female and 169 male college students living in Beijing, and analysed by factor analysis, cluster analysis, ANDVA, Duncan test, crosstabulation analysis, and frequency analysis. Chinese college students were classified into four groups by their shopping orientations; fashion-pursuit type, individuality-pursuit type, practical type, and apathetic type. Significant differences were found in store evaluative criteria, clothing evaluative criteria, purchasing behaviors, and demographic characteristics. The fashion-pursuit type and individuality-pursuit type were more influenced by store location and service, product attributes, and fashion. They purchased more frequently and spent more money. Esthetic clothing evaluative criteria were considered more important by the individuality-pursuit type than the others, and symbolic clothing evaluative criteria by the fashion-pursuit type.

• The Transactions of the Korea Information Processing Society
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• v.7 no.4
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• pp.1062-1072
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• 2000

The applications developing in distributed object computing enviroments are faced with the difficulties for managing various lots of distributed objects. Also, because the most multimedia service, like video, audio, and so forth, must be satisfied itself with real-time constraints, the users also are feeling with necessary to apply real-time mechanisms to distributed multimedia services. The goal of this paper is to solve the problems for managing distributed objects, and to be easy to develop complex applications that can provide real-time services. To do this, we designed and implemented a real-time object group platform that can be placed between applications and CORBA. This platform is extended the existing object group model[13,14] added to the scheduler and timer object components for supporting real-time concept. We designed the components for platform by using James Rumbaugh object modeling technology that consists of object, function, and dynamic model. And then we described the detailed interfaces of the components by IDL, and implemented our real-time object group's platform using OrbixMT 22 which is the IONA Technologies' ORB product. Finally, we showed the execution procedures of the schduler object of each components in a real-time object group platform.