• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.350-361
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• 2008

Place matters to knowledge creation according to the recent literature on economic geography and its related disciplines. This basic insight is not incorrect. But there is some vagueness in the discussions on this theme and there seems to appear a variety of geo-determinism on the competitiveness of SMEs in manufacturing industries. This paper reexamines that thinking on the basis of the realities of innovative manufacturing SMEs in a periphery of Japan, south of Kyushu Island. As a result, it is possible to classify face-to-face contacts into two kinds of communication. One is the communication, through which a supplier of a way of solution (knowledge) can grasp problems (information) of its customer in detail. The other is the communication, through which one can get some new idea. Information can spread world wide, but not always quickly and ubiquitously, because it often contains tacitness and secret, even if a large part of the information are coded in some form. Details of the information can be communicated only with the help of five senses. And it is necessary for the information receiver to listen to the sender carefully with the help of the other senses. In this meaning, tacitness does matter. Knowledge, namely ability to understand and power to bring some idea in practice, is always connected with some place, either at workshop of supplier or of customer in the case of manufacturing industries. However, not places but human beings possess the knowledge, and human beings can be mobile. Therefore, it is not restricted to a place.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.571-575
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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, Connection Frequency Matrix, and Rule Induction, this study suggests an integrative prediction model.

• Journal of Digital Convergence
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• v.7 no.2
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• pp.51-62
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• 2009

Most studies of organizational effectiveness previously done, have measured financial performance such as productivity, efficiency or subjective performance such as a commitment, satisfaction, and turnover intention of employees. However, these measurements have limitations to evaluate a organizational effectiveness in recent knowledge information era because evaluation of organizational effectiveness in knowledge-based society needs measurements in various aspects such as financial, customer, internal business process, and learning and growth. The purpose of this study is to overcome these problems and to introduce an appropriate system for evaluation of organizational effectiveness under knowledge management paradigm. In this paper, we suggest a Balanced Scorecard(BSC) as a new measurement standard of organizational effectiveness in a knowledge information era. The balanced scorecard is designed to help firms that have historically overemphasized short-term financial performance. When measuring organizational effectiveness through Balanced Scorecard(BSC) suggested by Kaplan and Norton[31], it is to present the measurement indices that can cover the limitation of the past evaluation indices of organizational effectiveness.

• Journal of Information Technology Services
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• v.13 no.2
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• pp.55-69
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• 2014

As Korea's global IT sourcing is sluggish and supply of qualified IT personnel does not meet the demand, IT developers currently do not worry about their job security. The sluggish global sourcing is attributed to the lack of system design and analysis skills as well as lack of communication skills of IT personnel. Most of big Korean IT service firms operate in captive market. This is also attributed to the cause of the sluggish global sourcing. Some IT managers, especially in global IT service firms, concerned about the negative long term effect of the sluggish global sourcing on competitiveness and human infra capability of Korea's IT service industry. Managers in IT service firms expect skill requirement changes in the future when global sourcing becomes active. The skills and knowledge that they wish to retain in-house is business knowledge, system analysis and design knowledge, customer relation management skills, project management skills and industry knowledge. The jobs with the above knowledge usually involve customers.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.1 s.149
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• pp.1-11
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• 2006

The purpose of this study was to analyze the current CRM situation in Korean apparel industry. Specifically, research purposes were 1) to examine the concepts and benefits of CRM, 2) to examine CRM strategies, 3) to analyze CRM system(i.e., customer relationship management service, customer segmentation criteria, DB management system), and 4) to analyze the potential problems and CRM adoption plan. The subjects for this research were thirty CRM managers in Korean apparel firms classified by the company type(woman's wear, man's wear, casual wear, children's wear, retailer) interviewed from December 2003 to March 1004. The results of this study were as follows: First, the concept of CRM represented the prime customer relationship, continuous consideration, and customer management system. The benefits of CRM reflected re-sales, improvement of profit share, and acquisition of customer's data base. Second, concerning the CRM strategies, most companies focused on persistent customer management through mileage program, membership cards and also implemented product strategies such as demand forecasting, customization based on customer data analysis. We also found that industry preferred to use pricing strategies, for example, segmentation of customer through discrepancies of price in which customers are provided by discount and gift voucher services. Regarding distribution strategy, channel diversification, localized service, and convenient delivery system were used. As promotion strategies, they chose celebrating customers' personal events and promoting cultural events and issuing coupons. Third, regarding CRM system, information service was the most frequently adopted, important and highly beneficial category. Also POS/web-POS, homepage were main sources of information. RFM is the mostly commonly used customer segmentation criteria. Fourth, potential problems in CRM adoption were lack of CRM knowledge and performance measurement of CRM. Future CRM adoption plan included CRM education and development of CRM performance measures.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.652-657
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• 2018

With the rapid development of e-commerce, many customers can now express their opinion on various kinds of product at discussion groups, merchant sites, social networks, etc. Discerning a consensus opinion about a product sold online is difficult due to more and more reviews become available on the internet. Opinion Mining, also known as Sentiment analysis, is the task of automatically detecting and understanding the sentimental expressions about a product from customer textual reviews. Recently, researchers have proposed various approaches for evaluation in sentiment mining by applying several techniques for document, sentence and aspect level. Aspect-based sentiment analysis is getting widely interesting of researchers; however, more complex algorithms are needed to address this issue precisely with larger corpora. This paper introduces an approach of knowledge representation for the task of analyzing product aspect rating. We focus on how to form the nature of sentiment representation from textual opinion by utilizing the representation learning methods which include word embedding and compositional vector models. Our experiment is performed on a dataset of reviews from electronic domain and the obtained result show that the proposed system achieved outstanding methods in previous studies.

• 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.

• International Commerce and Information Review
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• v.3 no.2
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• pp.93-111
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• 2001

The purpose of this paper is to study the mechanism of Acquisition of Customer Knowledge through Web Site at Global Electronic Commerce Times in Korea. The major findings of this paper is that the models of inter-business alliance network for EC based on contents, types of participating company, categories of business of participating company, modes of alliances, and concentrated industry or function are various and complex. Therefore all companies should know this result and reflect in their business strategy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.2068-2077
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• 2009

While six sigma project management systems have been widely used as a knowledge management systems, no one has proposed an empirical explanation for impacts of project management systems on project performance. This study proposes a structural equation model of the project management system that relates learning/growth, internal growth, customer performance, and financial effects based on six sigma project performance. The relationships are investigated using data collected from a sample of green and black belts. The results indicate that there are a causal relationship with use of project management and learning/growth and internal process, internal process and customer performance, and customer and financial performance. However, there is no relationship between internal process and financial effects. The results suggest that six sigma project system could effectively be implemented as a knowledge management system to improve six sigma performance of green an black belts. This study also compares index of SEM's model fit of research model and that of alternative models for further analysis. The result shows that index of research model of index is better than that of alternative model.

• Knowledge Management Research
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• v.23 no.1
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• pp.47-67
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• 2022

Computer and Internet information technologies(ICTs) have changed the modern service industry and people's life style. In particular, the global spread of COVID-19 has attracted more attention to contact service types such as self-service technology. With the increase in labor costs and the enhancement of consumer self-awareness, more and more companies transfer part of their work to customers through their own service technology. This study seeks to answer the following questions. (1) Do technology difficulty and safety perception affect customer value recognition in the self-service technologies? (2) Does customer value recognition influence the intention to use such technologies continuously? This study conducted an empirical analysis with 327 samples to validate the influence of self-service characteristics(technology difficulty and safety perception) on customer value recognition and continuous utilization intentions. Also, it analyzes the moderating effects of age and frequency of use on the relationship between self-service characteristics and customer value recognition. The study results show that the technology difficulty does not affect the customer's perceived value recognition; and the higher the customer's value recognition, the higher the intention of continuous use.