• Korean Management Science Review
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• v.24 no.2
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• pp.177-196
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• 2007

For better predictions and classifications in customer recommendation, this study proposes an integrative model that efficiently combines the currently-in-use statistical and artificial intelligence models. In particular, by integrating the models such as Association Rule, Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model. Integrated models consist of four models: ASFM model which combines Association Rule(A) and Frequency Matrix(B), ASRI model which combines Association Rule(A) and Rule Induction(C), FMRI model which combines Frequency Matrix(B) and Rule Induction(C), and ASFMRI model which combines Association Rule(A), Frequency Matrix(B), and Rule Induction(C). The data set for the tests is collected from a convenience store G, which is the number one in its brand in S. Korea. This data set contains sales information on customer transactions from September 1, 2005 to December 7, 2005. About 1,000 transactions are selected for a specific item. Using this data set. it suggests an integrated model predicting whether a customer buys or not buys a specific product for target marketing strategy. The performance of integrated model is compared with that of other models. The results from the experiments show that the performance of integrated model is superior to that of all other models such as Association Rule, Frequency Matrix, and Rule Induction.

• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.91-100
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• 2014

The purpose of this study was to examine the effect of consumer's environmental knowledge, eco-friendly attitude and purchase intention about fashion consumers' eco-friendly products. This study was conducted by a survey of 330 males and females fashion consumers in their 20s-40s who experienced eco-friendly fashion products purchase. Respondents, who had purchased eco-friendly fashion items at least once, were selected using convenience sampling through the online survey from March $20^{th}$ to $30^{th}$ in 2013. The collected materials were analyzed by frequency analysis, factor analysis, t-test and multi-regression using SPSS 19.0 software. Through the result of statistical analysis, it is found that environmental knowledge has three dimensions; natural environmental knowledge, urbanized environmental knowledge, environmental pollution knowledge. Also the effects of environmental knowledge on eco-friendly attitude are significant and eco-friendly attitude has influence on eco-friendly fashion products purchase behavior. Eco-friendly attitude had an effect word of mouth intention. In addition, there are notable differences in environmental knowledge, eco-friendly attitude and purchase intention depending on fashion consumer's age. The results of this study will provide useful information for both eco-friendly customer management and fashion marketing strategies. Therefore, the fashion company is needed to consider personal characteristics, customer needs and present condition of purchasing eco-friendly fashion products.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.473-476
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• 2002

In this paper by realizing the knowledge base on the web, for example, the information of the technology and human resources of the universities, which is the mecca of the knowledge management, technology information in various segment, education information, visible anti invisible knowledge information like technical advice, etc, and scholaristic knowledge like basic science technologies, economic theories which are verified by experts of the field, and pragmatic knowledge like technical patent, software, data base, also, hands on experience and knowledge like field technology, customer service, front line management. All those related information provides easy access to anyone who need of. This system is also designed for the utilization of the study, company activities, and professionals of the basic science technology which enables not only professor to exchange the research results but also, general public, companies, students can effectively share and exchange the information.

• Journal of Digital Convergence
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• v.7 no.2
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• pp.1-12
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• 2009

This study explored which the component factors on innovation brand to building an organizational culture of government. The innovation brand perception of organizational officers are in order brand awareness(recognition, discrimination) and brand loyalty(identification, ease of memory, meaning diffusion, the reaction of customer needs), brand salience, brand knowledge and brand innovation. The result of Importance-Performance analysis are as follows. We can see that Brand loyalty have Quadrant I meaning good management implementation. Brand Knowledge have Quadrant II meaning concentrate improving. Brand Uniqueness have Quadrant III meaning improving. And Recognition, familiarity and salience have Quadrant IV meaning low relative importance and high performance. The Quadrant IV consider the cost and benefit of brand management.

• Journal of the Korea Safety Management & Science
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• v.5 no.1
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• pp.45-56
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• 2003

This study intend to make easy modification, even if there is a new job or structure change, by modularizing program and computerize and automation of production control management used in CIM. Under the condition where manager control production on the job-site, for increasing connection with other operation and management on the computer by monitoring center computer, Recognizing information by computer is needed, it is possible by converting transaction. So production increase and quality improvement are possible by diminishing manager's and producer's work with the result of the study combining POP and CIM, after that, in e-business and m-business period that every enterprise must pass, customer satisfaction and sales promotion are possible with employee's computerizing minds. These study result also can knowledge process condition with theoretical class and have a power in finding a solution with foundation of theoretical knowledge.

• Knowledge Management Research
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• v.13 no.1
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• pp.41-52
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• 2012

Service innovation has been considered to improve the value of enterprises, so that various research issues have been studied on innovating the services. Thus, in order to increase understandability of new service innovation mechanism, this study surveys the existing research results on service innovation factors, e.g., success factors, process, and performance. Consequently, we have found that service innovation can be reflected to service quality and value by interactive process between customers and enterprises. Also, such interactions are based on internal success factors (e.g., innovation strategy of organizations, domain knowledge, collaboration) and external success factors (e.g., customer participation, partnership).

• Journal of the Korean Society for Library and Information Science
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• v.36 no.4
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• pp.293-309
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• 2002

This study explores what kinds of strategies are appropriate or needed for the academic librarians to upgrade their skills in the digital age. Printed and electronic sources related to this topic are gathered and examined, and communication with some academic librarians in USA is used for this study. The skills suggested in this paper mostly come from business-oriented concepts ike Learning Organization, Knowledge Management, Team Management, Customer-Oriented Services, and Change Management. As a result of this study, it is found that these skills can be used without much difficulties in academic libraries to improve their services. However academic librarians need to keep in mind the core values of academic libraries as an academic forum and non-profit organization when they endeavor to provide better services for customers in the digital age.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.865-880
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• 2021

The purpose of this study was to examine job competencies for sales training program development to maximize profits in fashion retailing. An empirical online survey was conducted from September to December 2019, and data was collected from 200 salespeople and store managers working in fashion stores. Results were analyzed using frequency analysis, factor analysis, variance analysis, and regression analysis with SPSS 25.0. The major findings of this study were as follows. First, the most important job competencies identified by fashion store managers were: sales sense know-how, customer service skills, and sales person's fashion style sense, product knowledge, fashion marketing and customer management. The job competency factors for sales training programs included empathy with the customer, product knowledge, communications and networking, basic job requirement, and sales skills. These five factors positively influenced the employment intentions and expectations of work performance of graduates. These factors also had a positive influence on the need of sales training program and intention to participate in retraining. Store managers in fashion retail thought the most appropriate period for on-the-job training was either 2-4 days or more than 1 week. The results of this study can be used as a base to develop training programs for job efficiency for salespeople in fashion retailing.

• Knowledge Management Research
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• v.21 no.3
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• pp.249-269
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• 2020

Recently, as the online market has matured, it is facing many problems to prevent the growth. The most common problem is the homogenization of online products, which fails to increase the number of customers any more. Moreover, although the portion of the online market has increased significantly, it now becomes essential to expand offline for further development. In response, many online firms have recently sought to expand their businesses and marketing channels by securing offline spaces that can complement the limitations of online platforms, on top of their existing advantages of online channels. Based on their competitive advantage in terms of analyzing large volumes of customer data utilizing information technologies (e.g., big data and artificial intelligence), they are reinforcing their offline influence as well through this online for offline (O4O) business model. On the other hand, most of the existing research has primarily focused on online to offline (O2O) business model, and there is still a lack of research on O4O business models, which have been actively attempted in various industrial fields in recent years. Since a few of O4O-related studies have been conducted only in an experience marketing setting following a case study method, it is critical to conduct an empirical study on O4O selection attributes and their impact on customer satisfaction and loyalty. Therefore, focusing on China's representative O4O business model, 'Fresh Hema,' this study attempts to identify some key selection attributes specialized for O4O services from the customers' viewpoint and examine the impact of these attributes on customer satisfaction and loyalty. The results of the structural equation modeling (SEM) with 300 O4O (Fresh Hema) experienced customers, reveal that, out of seven O4O selection attributes, four (mobile app quality, mobile payment, product quality, and store facilities) have an impact on customer satisfaction, which also leads to customer loyalty (reuse intention, recommendation intention, and brand attachment). This study would help managers in an O4O area well adapt to rapidly changing customer needs and provide them with some guidelines for enhancing both customer satisfaction and loyalty by allocating more resources to more significant selection attributes, rather than less significant ones.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.135-140
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.