• Journal of Korea Game Society
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• v.11 no.2
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• pp.57-68
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• 2011

This study approaches how newly emerged game companies has implemented strategies for product diversification according to market growth cycle(beginninggrowing-mature) by empirical case study through evolutionary theory and resource based theory approach. At the beginning, online game companies had grown with different strategies(technology based, service based) by initial condition(genre, technological level, user attribute). After market growth, for product diversification, these companies carried out path-dependent alliance strategy(complementary, competitive) depending on resource base(technology capacity, service capacity based). As online game market getting mature, these companies has adapted flexibly in responding to market growth cycle by integrated strategy(naturally selected to mobilize every possible resource capability). By analyzing the alliance strategies pattern of online game companies in newly emerged game industry according to market growth cycle through combination of resource based theory and evolutionary theory, these results suggest that new industrial, theoretical, policy model is required.

• Journal of the Korean Society for Railway
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• v.12 no.3
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• pp.382-387
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• 2009

When a system or service is realized, it needs to be verified by requirements. The process of verification is to check whether customers/stakeholders requirements have been property transformed into a system or service. A set of verification processes is described in the international or industrial standards. However, it is not appropriate to directly apply those verification processes in the national research and development projects. In particular, we noticed the problem in the development of safety systems, standards and process in the railway systems domain. As such, this paper is concerned with a detailed development of the verification process in that domain. Specifically, an effective and efficient verification process is presented regarding the safety systems and process, safety standards, and safety documents. Also, the verification process was modeled by a computer-aided systems engineering tool, Cradle(R). As a result, the outcomes of the verification process on be managed efficiently.

• Journal of Service Research and Studies
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• v.2 no.1
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• pp.29-37
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• 2012

Recently, the market size of hypermarkets in the domestic retail market accounts for a high percentage. The domestic retail market after the opening of the market for the past 1996 and grow to the spread of hypermarkets. However, events such as tasting events were increased due to intense competition among business condition as to attract more customers beyond price competition. Under these circumstances, it is important to examine the relationship of the factors associated with tasting events on consumer buying behavior. The impact on consumer buying behavior in order to verify factors tasting event by setting product standards study the relationship between variables was set up as a model. As result, only one came out significantly to pay the hypothesis of various products depending on the origin of the factors that increase the amount available. This is seen as a supermarket tasting event at the origin of products, and transparency, but also for recently imported foods for consumers who have negative thoughts, mainly domestic product tasting events Mart's sales continue to increase to attract more customers shall be deemed to be one way.

• Journal of agriculture & life science
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• v.43 no.2
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• pp.65-78
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• 2009

The purpose of this research is to analyze the factors influencing satisfaction level of consumers using internet shopping mall to purchase agricultural products and to check relationship between satisfaction factor and intention in current situation of fast diffusion of market size for agricultural product e-commerce. Purchase motivation in internet shopping mall was shown to be the reason of convenience rather than confidence degree for agricultural product consumers. Consumer satisfaction factor of agricultural product internet shopping mall can be distinguished by confidence in service quality, diversity of products, delivery and customer support, and security. The result of this research will help us understand the determination factor of consumer satisfaction and their intention about internet shopping, while finding out what consumers expect from internet shopping when purchasing agricultural products.

• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.97-108
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• 2019

Purpose: The purpose of this study is to propose a new Risk Priority Number(RPN) evaluation method which analyzes value of product functions by mining customer opinions in Social Network Service(SNS). Methods: A traditional RPN is measured by three evaluation standards (Severity, Occurrence, Detection) which are analyzed by manufacturing engineers and researchers. On the other hand, these standards are analyzed by customers' viewpoints through SNS opinion mining in this research. In order to extract customer feedbacks from textual data sets, the methodology in this paper implies natural language processing, hereby collecting product related data sets and analyzing the opinions automatically. An emotional polarity of an opinion indicates severity, while the number of negative opinion shows occurrence, and the entire number of customer opinion refers to detection. Results: The results of this study are as follows; As a result of the CRPN evaluation, it is confirmed that the features evaluated as risky are highly likely to be improved in the next series. Therefore, CRPN is an effective risk assessment model that reflects customer feedback. Conclusion: Reflecting customer feedback is a useful tool for risk assessment of the product as well as for developing new products and improving existing products.

• The Journal of Industrial Distribution & Business
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• v.12 no.2
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• pp.29-40
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• 2021

Purpose: In this study, with the transaction amount of foreign direct Purchase and foreign direct sales increasing, South Korea is in a situation where foreign direct sales are focused on China. We looked at the impact of consumer innovation and site characteristics on repurchase ability among the characteristics of overseas direct purchase consumers as a way to make direct overseas sales to various overseas countries. Research design, data and methodology: Consumer innovativeness consists of four variables: functional, hedonistic, social, and cognitive, and the site characteristics consisted of four variables: product price, product assortment, convenience, and service. The study was conducted on consumers with foreign direct purchase experience, and was finally used in 252 additional analyses. Results: The main findings of this study were first, that the impact on the degree of re-purchase among consumer innovativeness of foreign direct purchase consumers had a significant impact in the order of cognitive innovativeness, hedonistic innovativeness, and functional innovativeness. Social innovativeness did not affect the degree of re-purchase. Second, site characteristics have been found to have a significant impact on the degree of re-purchase in order of product assortment, commodity price, and service. Convenience did not affect the degree of re-purchase. Conclusions Taken together these results can be called the biggest characteristic of the cognitive innovativeness of the consumer's inclination to use the overseas direct purchase, the price or quick response of the goods sold on the site is a factor that affects the re-purchase, above all it is important to have a variety of products. We will present this element as a way to make direct sales abroad to various countries. In addition, foreign direct purchase is a lot of transactions in China, the United States, EU, but the share of China is high in foreign direct sales, and the U.S. and EU have a very low performance, it is important to consider the reasons why they prefer Korean products in China to study the social and cultural characteristics of U.S. and European consumers in the future, and to support and active marketing that companies and sellers can increase sales.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.23-59
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• 2019

The purpose of this study is to develop a measure of service quality in the traditional market by examining previous research on the service quality of the traditional market studied so far. After defining basic concepts through definition of traditional market and existing studies, 5 categories of configuration items for SERVQUAL measurement in traditional market were made up based on existing researches related to definition of service quality and service quality of traditional market. A survey was conducted on the items that fit the intention of this study and various statistical analyzes were conducted. Statistical analysis was performed using SPSS 22.0 and AMOS 22.0. The reliability of the items was measured by the reliability test, and the predictability and accuracy of the items were examined. The validity of the measured variables was verified through confirmatory factor analysis. Reliability, empathy, responsiveness, certainty, and tangibility were the most important factors in this study. Responsiveness factors include communication, time reduction, real time, promptness. Assurance factors include the assurance of delivery, prompt answers, product knowledge items. Tangibility factors include, convenient device systems, location information, presence as a fact, and as a result, the latest modern items are adopted. The quality of service in the traditional market developed in this study was found to be good in reliability and validity test. Confirmatory factor analysis result using structural equation model also met the conformity index standard. If service satisfaction is measured based on this research, basic data can be presented to policy makers who implement policies on traditional markets to make the right decisions. In addition, it will be able to provide traditional market operators with operational strategy and marketing data. In the future, based on the traditional market service quality scale developed in this study, it is necessary to grasp the factors to be continuously managed to improve the service quality of the traditional market, user satisfaction, and intention to use.

• Journal of Distribution Science
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• v.15 no.4
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.559-570
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• 2014

The purpose of this study is to derive the suggestion of satisfaction of e-book services on the basis of the recent literature on quality assessment for e-service which have been mainly studied on library realm. For this purpose, This study added post-management service which is applicable to measure satisfaction of e-book services based on E-S-Qual and Libqual. We expand our scope of service to using of e-book content and services for individual customers, and analyzed the relationship between satisfaction with the system, the content, the after-sale service. On this foundation, existing e-book service companies can offer their services more efficiently, thereby making the e-book content more diverse, along with developing specialized e-book service to increasing their customer's satisfaction. In addition, the latest and diversity is important as well. Moreover, performing rapid post-management services after the sale of the product or service, can be important variables for customer satisfaction. Therefore, not only the system and content, providing required level post-management services by customers can satisfy the existing customers and create new customers.

• Korean Journal of Community Nutrition
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• v.8 no.4
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• pp.556-565
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• 2003

Market segmentation helps providers to find better marketing opportunities and allows foodservice managers to develop the right product for each target market. Therefore, this study, taking university faculty and staff as subject, is intended to diagnose the relative value of service quality attribute, on the basis service quality scenario of faculty foodservice; to suggest price for improving customer loyalty in market segments. A questionnaire was developed ar d mailed to 600 Yonsei university faculty and staffs. A total of 385 questionnaires were usable; resulting in a 58.7％ of faculty and a 69.7％ of staff response rate, respectively. Statistical data analysis was completed using the SAS/Win 6.12 for descriptive Analysis, ANOVA, principal factor analysis, cluster analysis, reliability test and discriminant analysis. The results of the study are as below. Eighteen questions were selected for measuring respondents' lifestyle by AIO method and the seven lifestyle factors derived from factor analysis and aggregated distinct 4 clusters. Service quality attributes of the scenario were determined with 'food quality', 'menu variety', 'atmosphere', 'fast service', and 'clean and sanitation'. 'Food quality', 'menu variety', 'atmosphere', 'fast service', and 'clean and sanitation', in decreasing order, were identified as improving customer loyalty. However, most faculty and staffs were satisfied with the present meal price. The result of this study indicates that the relative value of service quality was differed significantly among the various market segments. 'Food quality', 'menu variety', and 'atmosphere' were determined as major service quality attributes. Thus, customer loyalty could be increased by improving food taste and quality, atmosphere, and service delivery. (Korean J Community Nutrition 8(4) : 556 ∼565, 2003)