• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.207-218
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• 2020

Recently, due to the increase of online reviews and the development of analysis technology, the interest and demand for online review analysis continues to increase. However, previous studies have not considered the emotions contained in each vocabulary may differ from one reviewer to another. Therefore, this study first classifies the customer group according to the customer's grade, and presents the result of analyzing the difference by performing review analysis for each customer group. We found that the price factor had a significant influence on the evaluation of products for customers with high ratings. On the contrary, in the case of low-grade customers, the degree of correspondence between the contents introduced in the mall and the actual product significantly influenced the evaluation of the product. We expect that the proposed methodology can be effectively used to establish differentiated marketing strategies by identifying factors that affect product evaluation by customer group.

• Information Systems Review
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• v.11 no.2
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• pp.209-231
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• 2009

In recent, a general trend is observed towards more customized products and shorter product life cycles in manufacturing enterprises. In these enterprises, customers often wish to influence the product they order and to get a variant of product that meets their requirements. This is called as customer-oriented make-to-order manufacturing environment. This paper establishes a methodology of implementing information system for developing product data integration system (PDIS) which is suitable for customer-oriented make-to-order manufacturing enterprise, and also presents the case of implementing PDIS for a ship engine product in 'H' heavy industry using the established methodology. At present, the implemented PDIS is successfully operating. As a result, PDIS reduces delivery time and improves customer relationships. Moreover, the case shows that PDIS can be used as a tool for improving inter-department coordination within a company during product life cycle.

• International Commerce and Information Review
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• v.12 no.2
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• pp.357-381
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• 2010

The purpose of this paper is to investigate the effects of consumer's preferences for foreign products and extrinsic cues such as brand, country of origin, and corporate reputation on the consumer's evaluation which includes the construct of perceived quality, and loyalty. In addition, this paper is aimed to provide Korean firms insights in strategic approaches about foreign consumers behavior. A conceptual model is developed and empirically tested against a sample of university students in Korea, who have buying experience of products from multinational firms. 290 samples were used for this analysis. Results of multiple regression analysis using SPSS 18.0 show that consumer's preferences for foreign products, brand awareness, and corporate reputation have a significant effect on the perceived quality of the product from multinational firms. The most important factor to influence the perceived quality was found to be a corporate reputation. But country of origin had not significant effect. Also it is found that both product and product related service quality are positive and statistically significant in explaining the customer's loyalty. Implications for increasing perceived quality and customer's loyalty for Korean products in the global market are discussed.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.47-57
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• 2022

Purpose: This study explored the relationship between product characteristics and customer purchase intention in cross-border online shopping. Research design, data, and methodology: Through literature review, the research model of product characteristics and consumers' purchase intention is constructed, and trust is taken as a medium variable. Based on the survey data of Chinese consumers, empirical analysis and hypothesis verification are conducted. This study used SPSS version 21 to confirm the reliability and validity of the research model. To confirm the media effect of the model in this study, the Sobel Test was used. Results: The results of hypothesis identification of this research model showed that 8 of the 11 hypotheses were adopted and 3 were rejected. Results confirmed the relationship between product characteristics (specification, diversity, reputation, novelty, quality) and customer purchase intention. Conclusions: The result from this study had particular theoretical significance for improving the research on cross-border online shopping systems to improve the safety and satisfaction of customers in cross-border online shopping.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.55-60
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• 2020

As personalized customer services create a society that emphasizes the personality of an individual, the number of product reviews and quantity of user data generated by users on the internet in mobile shopping apps and sites are increasing. Such product review data are classified as unstructured data. Unstructured data have the potential to be transformed into information that companies and users can employ, using appropriate processing and analyses. However, existing systems do not reflect the detailed information they collect, such as user characteristics, purchase preference, or purchase priority while analyzing review data. Thus, it is challenging to provide customized recommendations for various users. Therefore, in this study, we have developed a product recommendation system that takes into account the user's priority, which they select, when searching for and purchasing a product. The recommendation system then displays the results to the user by processing and analyzing their preferences. Since the user's preference is considered, the user can obtain results that are more relevant.

• Asia Marketing Journal
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• v.10 no.2
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• pp.125-151
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• 2008

Both companies and consumers are highly interested in on-line customer reviews which enable consumers to share their experience and knowledge about products. In this study, after classifying real reviews into context units and deriving categories, we analyzed differences between categories based on channel(manufacturers' homepage/ shopping mall), product attribute(search/experience) and price(high/low). The method to derive categories is based on roughly adopting constructs of ACSI model and elaborate and repetitive classification of real reviews. We set up the classification category with 3 levels. Level 1 consists of product and service, level 2 consists of function, design, price, purchase motive, suggestion/user-tip and recommendation/repurchase in product and AS/up-grade and delivery/others in service and level 3 is composed of details of level 2 of category. We could find remarkable differences between channels in all 8 items of level 2 of category. As the number of context units in homepage is more than in shopping mall, we found reviews in homepage is more concrete. Moreover, overall satisfaction in review was higher at homepage's. Also, in product attribute dimension, we found different patterns of reviews in design, purchase motive, suggestion/user-tip, recommendation/repurchase, AS/up-grade and delivery/others and no difference in overall customer's satisfaction. In price dimension, we found differences between high and low price in design, price and AS/up-grade and no difference in overall customer's satisfaction.

• The Journal of Information Systems
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• v.20 no.2
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• pp.21-36
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• 2011

The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes some contributions. Especially it proposes minimalism and chunking framework for analyzing and comparing consumer opinions of competing products. Users are able to clearly see the strengths and weaknesses of each product in the minds of consumers in terms of various product features. This comparison is useful to both potential customers and product manufacturers. For a product manufacturer, the comparison enables it to easily gather marketing intelligence and product benchmarking information. In this paper, we only focus on mining opinion/product features that the reviewers have commented on. Five types of online review presentations are presented to mine such features. Our experimental results show that these techniques are useful to identify customers' opinions and trends.

• International Commerce and Information Review
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• v.12 no.1
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• pp.353-373
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• 2010

This paper researched on countries effect of country-of origin product of the Korea customer. Also This study was analysis to purchase frequency and purchase place for products of the U.S.A, Japan, China, EU, and Chile in Korea market. That is to say, this study is reviewing on country image subject including country of origin. According to WTO rule, The rules of origin should be administered in a consistent, uniform, impartial and reasonable manner. The objective of this article is to explore the relationship between country of origin and consumer effect using empirical analysis. The country of origin was divided into country of design, assembly, and parts. A survey questionnaire was sent to 250 customer in Korea market, and 220 usable responses were obtained. The 213 samples are analyzed with the countries origin effect. Multiple regression results show that the U.S.A and Japan product are positively affected by the purchase effectiveness of Korea customer's. However, The EU, China and Chile products do not affect effectiveness in Korea market. This article contributes to a understanding of effects of country-or-origin. When the nation image has been made, marketing approaches considering both image of country of manufacture origin and motivational focus can be utilized simultaneously.

• Korean Management Science Review
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• v.17 no.2
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• pp.125-134
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• 2000

Keeping the promised delivery date for a customer order is crucial for a company to promote customer satisfaction and generate further businesses. For this, a company should be able to quote the delivery date that can be achieved with the capacity available on the shop floor. In a dynamic make-to-order manufacturing environment, the problem of determining a delivery date for an incoming order with consideration of resource capacity, workload, and finished-product inventory can hardly be solved by an analytical solution procedure. This paper considers a situation in which a delivery date for a customer order is determined based on a job schedule, and presents the SimTriD algorithm that provides the best scheduling for determining a delivery date of customer order through the job schedule that efficiently utilizes manufacturing resources with consideration of interacting factors such as resource utilization, finished-product inventory, and due date.

• Journal of Korean Society for Quality Management
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• v.40 no.1
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• pp.1-14
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• 2012

This study investigates the impact of supplier involvement, customer involvement, and employee training on product quality and organizational performance. Based on literature review, this study develops hypotheses and tests them by employing a structural equations model. Using survey data of 193 firms from 22 manufacturing industries, this study empirically shows that the activities for supply chain quality management (SCQM) enhance the quality and organizational performance. Specifically, quality leadership is revealed to be an antecedent of other SCQM activities. The most contributable finding is, while the supplier involvement and employee training directly enhance the organizational performance, customer involvement indirectly improves it via quality performance.