• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.2
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• pp.59-75
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• 2004

Recommendation is a personalized information filtering technology to help customers find which products they would like to purchase. Collaborative filtering works by matching customer preferences to other customers in making recommendations. But collaborative filtering based recommendations have two major limitations, sparsity and scalability. To overcome these problems we suggest using adjusted product hierarchy, grain. This methodology focuses on dimensionality reduction and uses a marketer's specific knowledge or experience to improve recommendation quality. The qualify of recommendations using each grain is compared with others by several experimentations. Experiments present that the usage of a grain holds the promise of allowing CF-based recommendations to scale to large data sets and at the same time produces better recommendations. In addition. our methodology is proved to save the computation time by 3∼4 times compared with collaborative filtering.

• Journal of Families and Better Life
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• v.14 no.2
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• pp.139-156
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• 1996

This study attempts to explore urban married women's consumer information needs through assessing their demand level for information. In addition the causality of consumer information needs and related variables is investigated, Major findings are the following: (1) Respondent's needs for consumer information on the color television set and the tryply-pan are in very high level. (2) Among several relevant characteristics respondents' product involvement and perception on the quality differences is strongly related to information needs, (3) Respondents' self-confidence in the product evaluation respondents' perception of the price dispersion and product complexity show a positive effects on the level of information needs. (4) Respondents' age educational level purchasing experience show a negative effects on the level of information needs.

• The Transactions of the Korea Information Processing Society
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• v.6 no.10
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• pp.2680-2692
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• 1999

Software quality is classified by quality of process and product. In experience of Quality Management, it is known that quality level of product as it depends on goodness and badness of process and organization. As a result, improvement of software process has been important subject. According as this trends, ISO 12207 is publicated as standard of software life cycle process by ISO. For UML based object oriented development process, it is necessary that we should research detailed definition of activity and task of ISO 12207 process which is added, deleted or tailored in according to organization and project characteristics. In this thesis, by according with ISO 12207 software life cycle process, UML based object oriented development process is proposed. This process is composed of 7 steps and 19 activities including development phase, activity and product to improve quality of reliability. Usefulness of object oriented process for improvement of software quality is proved at three ways, which are comparative analysis of process characteristics, SPICE process evaluation and SPICE rick analysis.

• Design & Manufacturing
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• v.13 no.3
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• pp.29-34
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• 2019

Cell phone injection is characterized by its small size and thinness. In addition, the product has a short cycle time, requiring a very short production schedule. To produce more accurate products faster, data from experience in producing similar products is required. In this study, two mobile phone models are presented. In this study, the quality problems caused by molding analysis and actual injection molding were analyzed and made into a database. As a result, it was considered that all the defects in the molding analysis do not affect the product in some cases, rather than appear as defects in the actual product. All defects shown in the molding analysis can be made into a database, and based on this data, it will be possible to obtain an effect that can predict more accurately whether it will cause problems after injection.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.89-96
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• 2019

The purpose of this study is to investigate Nest Labs (Nest)'s business strategy. The activities based on strategic choices for monetizing connected product are investigated. Nest's capacity and functionality is to offer a seamless integration of devices, platforms, and services and the "Works with Nest" offers an ecosystem fulfilling the needs of different partners. For monetizing customer data, Nest provides a seamless customer experience supported by product incentives. Nest introduces open APIs to connect its connected products to the wider Internet of things (IoT) and open to "If This, Then That." The Nest app controls them from one single place. Nest partners with 32 energy providers as of 2017 and they provide energy from renewable and non-renewable energy sources. Nest also creates a sales channels in direct and indirect route and expands is business model to other industries such as home-rental service, 'AirBnB' to help consumers become more energy-efficient at home.

• The Journal of Economics, Marketing and Management
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• v.2 no.2
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• pp.10-14
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• 2014

The study investigated consumption patterns and inclination of consumers of Hanwoo meat being more expensive than imported meat and/or beef cattle meat based on the author's business experience at the shop in Budang Seongnam. The author who has managed shop firstly investigated customers' inclination and/or propensity. The author heard specific customer's story at neighboring shopping center, and each customer's buying method, occupation, financial power and apartment size and others, and forecast visiting customer's buying and demand upon part of the beef that customer asks for. The aut hor who sold out limited scope of beef product at limited area thought that he did narrow scope of business. The author would make effort to sell product enough to meet customer's taste by better quality product from point of view of customers. The author would make effort to supply good quality beef products to the customers who relied upon the author's butcher's.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.701-713
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• 2023

Purpose: The primary purpose of this study is to integrate text mining and Quality Function Deployment (QFD) to automatically extract valuable information from customer reviews, thereby establishing a QFD frame- work to confirm genuine customer needs for New Product Development (NPD). Methods: Our approach combines text mining and QFD through topic modeling and sentiment analysis on a large data set of 56,873 customer reviews from Zappos.com, spanning five running shoe brands. This process objectively identifies customer requirements, establishes priorities, and assesses competitive strengths. Results: Through the analysis of customer reviews, the study successfully extracts customer requirements and translates customer experience insights and emotions into quantifiable indicators of competitiveness. Conclusion: The findings obtained from this research offer essential design guidance for new product develop- ment endeavors. Importantly, the significance of these results extends beyond the running shoe industry, presenting broad and promising applications across diverse sectors.

• Archives of design research
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• v.16 no.4
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• pp.289-298
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• 2003

The 21st century could be called the age of Experience Economy associated with the importance to external and internal experience of product users. It needs the understanding of customer's needs in new point of view. In the area of design development, it requires the extensive application of experience from traditional method that was based on the style and usability to more advanced concept. To correspond to these changes, we need to explore new customer's value system for knowledge-information design and systematic approaches to experience system. The purpose of this research is to define the concept of 'experience' newly in the importance side of customer's life, form a clear definition of experience design and present the model of application system. Theoretical frameworks of this research are based on the Empiricism and John Dewey's theory. By applying these frameworks make dear the concept of experience concept and reanalysis the meaning and style in the perspective of design. In this process, we can extract the main factors that inducing the experience, create new application system and model again to the field of design. Application model can creates various experiences through supplying different experience style and factors for customer, make customer realize experience object. Experience designs offer optimal experience to users by making a plan and design experience to user's goal.

• Human Ecology Research
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• v.54 no.5
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• pp.529-539
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• 2016

This study confirmed shopping behavior of Korean young overseas tourists and its effect on travel evaluation. I first identified core factors of travel activity preference, travel shopping propensity, and shopping products. The effect of shopping product satisfaction on tour satisfaction and post-tour intention was then investigated. Based on travel activities, tourists were grouped, and their characteristics were compared. An online survey method was performed to obtain data of 20's-30's Korean unmarried people, while factor analysis, regression analysis, chi-square test, analysis of variance (ANOVA), and cluster analysis were applied to analyze data. The results were as follows. First, six travel activities (city life, art/shopping, cultural experience, entertainment, field experience, and friendship), three shopping propensity (novelty/uniqueness, utility, and prestige), and four product groups (fashion goods, household goods, crafts, and foods) were found by factor analyses. Second, travel activity tended to influence shopping propensity, which then influenced shopping products preference. All factors of travel activity seemed to affect the three travel shopping propensities. Third, shopping satisfaction was shown to affect tour satisfaction, and posttour behavior. Finally, four tourist groups (active, social, pleasure, and passive) differed in terms of preferred tour activities, shopping propensity, and tour behavior. Active tourists rated the highest scores and passive ones rated the lowest for most evaluations.

• Fashion & Textile Research Journal
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• v.13 no.6
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• pp.909-916
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• 2011

This study explored the differences in consumer characteristics-consumer self-confidence, attitude toward, trust and purchase intention for secondhand fashion goods, self-confidence in fashion coordination, price sensitivity for fashion product, and environment conservation consciousness-according to purchasing experience of secondhand fashion goods. A set of questionnaire was administered to 400 university students in Daegu from 18 to 28 April 2011. Data were analyzed by factor analysis, Cronbach's ${\alpha}$, frequency, t-tests. Secondhand fashion goods shoppers were 135(37%) and non-shoppers were 230(63%). The difference analysis results between the two groups were as follows. First, in consumer self-confidence, shoppers showed higher than non-shoppers except persuasion knowledge, and there was no difference in marketplace interfaces between the two groups. Second, there were significant differences in attitude toward secondhand fashion goods, trust and purchase intention for secondhand fashion goods between the two groups. Third, shoppers had higher self-confidence in fashion coordination than non-shoppers, but there was no difference in environment conservation consciousness and price sensitivity for fashion product between the two groups. For future study, it is suggested to find out more general characteristics of secondhand fashion goods shoppers covering other age brackets.