• Journal of Distribution Science
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• v.19 no.8
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• pp.69-80
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• 2021

Purpose: This study's purpose is to explore the relationship between entrepreneurial marketing orientation on new product development performance via marketing and innovation capabilities. Research design, data, and methodology: This research has applied a survey method which involved 159 respondents from food retailers among Michelin Guide Restaurants in Thailand. The literature's existing measurement scales were used to operationalize the constructs proposed in this study. The analyses were conducted using Partial Least Squares-Structural Equation Modeling (PLS-SEM) to test the hypotheses. Results: The results have shown that new product development performance received positive and direct impacts from entrepreneurial marketing orientation, particularly in three dimensions: customer value orientation, opportunity-driven initiatives, and leveraged resources. Likewise, new product development performance received a positive, indirect impact from opportunity-driven initiatives, risk management, customer value orientation, and innovation that is focused on marketing and innovation capabilities. Conclusions: The results are useful for Thai food retailers as to strategy formulation in order to attract tourists from all over the world to tourist destinations in Thailand. Therefore, this empirical study is extremely important for domestic economic development and the international economy. These findings provide theoretical and managerial contributions for developing competitive strategies which will lead to sustainable business practices, as well as for providing future research directions.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.181-188
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• 2007

In today's dynamic and turbulent business environment, in order to become globally competitive, many companies are trying to get closer to the customer and deliver value added product and services in the shortest possible time which demands integral ion of business processes of an enterprise. Enterprise Resource Planning (ERP) is such a strategic tool, which helps the company to gain competitive edge by integrating all business processes and optimizing the resources available. This paper throws light on how ERP evolved, what makes up an ERP system and what it has to offer to the industries. The paper includes the role of ERP, perception of ERP value, ERP plan and direction. The author also argues checkpoints as a preview to ERP introduction.

• Journal of Digital Convergence
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• v.5 no.1
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• pp.9-15
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• 2007

In today's dynamic and turbulent business environment, in order to become globally competitive, many companies are trying to get closer to the customer and deliver value added product and services in the shortest possible time which demands integration of business processes of an enterprise, Enterprise Resource Planning (ERP) is such a strategic tool, which helps the company to gain competitive edge by integrating all business processes and optimizing the resources available. This paper throws light on how ERP evolved, what makes up an ERP system and what it has to offer to the industries. The paper includes the role of ERP, perception of ERP value, ERP plan and direction. The author also argues checkpoints as a preview to ERP introduction.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.7_8
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• pp.408-416
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• 2003

An electronic cash system has to provide the security, to prevent the double spending and to support the divisibility of electronic cash for the easy of use. Divisible electronic cash system allows an electronic cash to be divided into subdivisions. Each subdivision is worth any desired value, but all values must add up to the original cash value. Divisible scheme brings some advantages. It reduces to make the change and also there is no necessity that a customer must withdraw a cash of the desired value whenever transactions occur. In this paper, we present an electronic cash protocol which provides the divisibility based on the double hash chain technique. Electronic cash is constructed in the form of coins. Coins, generated by the double hush chain, have different denominations. The divisibility based on the double hash chain technique. Electronic cash is constructed in the form of coins. Coins, generated by the double hash chain, have different denominations. The divisibility of an electronic cash is satisfied by the payment certificate, which is a pair of bank´s proxy signature received from the bank. When a customer pays the coin of subdivision, the fairness of that coin is certified by a customer´s signing instead of a bank. Although the proposed method does not guarantee user´s anonymity, it generates coins which cannot be forged, and the customer can use an electronic cash conveniently and efficiently with its divisibility.

• Korean Journal of Human Ecology
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• v.16 no.3
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• pp.643-650
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• 2007

The purpose of this study was to assess the effects of perceived value and satisfaction with employees' foodservice on loyalty intention. A total of 273 questionnaires were completed. Structural equation model was used to measure the mediating role of satisfaction in the causal relationships among perceived sacrifice, service quality, value, satisfaction, and loyalty intention. Results of the study demonstrated that the structural analysis result for the data also indicated excellent model fit. The direct effects of perceived sacrifice and service quality on value were statistically significant. The direct effects of service quality and value on satisfaction were statistically significant. The direct effects of value and satisfaction on loyalty intention were statistically significant. The service quality had a significant indirect influence on loyalty intention through value and satisfaction. In addition, the value played a mediating role in the relationship between service quality and satisfaction. The satisfaction played a mediating role in the relationship between value and loyalty intention.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.1-9
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• 2017

Companies must capture value for sustainable growth. Capturing value is a critical task for companies, particularly when operating own businesses and organizations or starting new business. The business strategy of many companies focuses on capturing the maximum value from customers and other stakeholders. Even though a wide range of studies on value creation and appropriation has been conducted in the strategic management field, most of studies are still conceptual and theoretical. Thus more empirical studies are required to suggest future-oriented value strategy. This study reveals the value creation and appropriation elements in the aviation industry of Korea. The purpose of this study is to understand the trend of value creation and appropriation in the industry. In addition, the relationship between the elements and firm's performance are tested. The firm's performance is defined by that past and future point of views. The sample were collected from Korean Air and Asiana Air. The empirical test shows that the elements of value creation-appropriation have significant impact on firm's performance. Further, the element of value appropriation to customer has a positive impact both on firm's past and future performance. Our results show that investors acknowledge a value-based strategy as a sign of stock valuation. The results of this test correspond with the earlier one, showing that maximizing customers value rather than shareholder value does deliver impressive returns. The finding suggest that companies need to change their strategy to efficiently manage performance. With the test results, we propose a value-based strategy to maximize firm's future financial and stock performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.3
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• pp.518-523
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• 2006

Due to keen competition among companies, they have segmented customers and they are trying to offer specially targeted customer by means of the distinguished method. In accordance, data mining techniques are noted as the effective method that extracts useful information. This paper explores customer segmentation of the home study company using a hybrid decision tree and artificial neural network model. With the application of variance selection process from decision tree, the systemic process of defining input vector's value and the rule generation were developed. In point of customer management, this research analyzes current customers and produces the patterns of them so that the company can maintain good customer relationship. The case study shows that the predicted accuracy of the proposed model is higher than those of regression, decision tree (CART), artificial neural networks.

• The Journal of Information Systems
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• v.26 no.4
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• pp.17-37
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• 2017

Purpose Customer Loyalty is the most important factor of customer relationship management (CRM). Especially in retailing industry, where customers have many options of where to spend their money. Classifying loyal customers through customers' data can help retailing companies build more efficient marketing strategies and gain competitive advantages. This study aims to construct classification models of distinguishing the loyal customers within a Korean retailing company using data mining techniques with R language. Design/methodology/approach In order to classify retailing customers, we used combination of support vector machines (SVMs) and other classification algorithms of machine learning (ML) with the support of recursive feature elimination (RFE). In particular, we first clean the dataset to remove outlier and impute the missing value. Then we used a RFE framework for electing most significant predictors. Finally, we construct models with classification algorithms, tune the best parameters and compare the performances among them. Findings The results reveal that ML classification techniques can work well with CRM data in Korean retailing industry. Moreover, customer loyalty is impacted by not only unique factor such as net promoter score but also other purchase habits such as expensive goods preferring or multi-branch visiting and so on. We also prove that with retailing customer's dataset the model constructed by SVMs algorithm has given better performance than others. We expect that the models in this study can be used by other retailing companies to classify their customers, then they can focus on giving services to these potential vip group. We also hope that the results of this ML algorithm using R language could be useful to other researchers for selecting appropriate ML algorithms.

• Journal of Distribution Science
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• v.19 no.7
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• pp.75-85
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• 2021

Purpose: This study is focused on analyzing the key reasons why One-brand Shop has been shrinking and Multi-brand shop is rising from the perspective of the trend changes of customer behavior and distribution channel in the Korean cosmetic market. The purpose of this study is to examine the factors influencing the attractiveness of cosmetics distribution channels from a store perspective and a consumer perspective. Research methodology: This study conducted a survey to define the factors that influence the attractiveness of cosmetics distribution channels. A total of 300 samples were investigated. Results: The store factors that influence the attractiveness of the cosmetics distribution channel were product quality, shopping convenience, and store accessibility in the group of single-brand store preferences, and product diversity and store experience in the group of multi-brand store preferences. Conclusions: Core competing factors of One-brand shop include product value, shopping convenience and accessibility. In contrast, Multi-Brand shops offer core competing factors of diversified product portfolio and shop function experience. A new trend has been found that the customer segments of the price-oriented group and the pleasure-oriented group have become the mainstream segments in the Korean cosmetic market. In conclusion, Multi-brand Shops are suggesting better overall customer experiences in terms of distribution channel attractiveness and customer values.

• Journal of Distribution Science
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• v.19 no.4
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• pp.25-35
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• 2021

Purpose: This study aims to analyze the factors affecting customer satisfaction in the customer reviews of omni-channel, posted on Internet blogs, cafes, and YouTube using text mining analysis. Research, data, and Methodology: In this study, frequency analysis is performed and the LDA (Latent Dirichlet Allocation) is used to analyze social big data to respond to reviewers' reaction to the recently opened omni-channel shopping reviews by L Shopping Company. Additionally, based on the topic analysis, we conduct a sentiment analysis on purchase reviews and analyze the characteristics of each topic on the positive or negative sentiments of omni-channel app users. Results: As a result of a topic analysis, four main topics are derived: delivery and events, economic value, recommendations and convenience, and product quality and brand awareness. The emotional analysis reveals that the reviewers have many positive evaluations for price policy and product promotion, but negative evaluations for app use, delivery, and product quality. Conclusions: Retailers can establish customized marketing strategies by identifying the customer's major interests through text mining analysis. Additionally, the analysis of sentiment by subject becomes an important indicator for developing products and services that customers want by identifying areas that satisfy customers and areas that evoke negative reactions.