• International Commerce and Information Review
• /
• v.14 no.2
• /
• pp.173-199
• /
• 2012

The purpose of the study is to test and analyze differences in consumers' satisfaction and influences of competitiveness of goods on consumers' purchase decision by demographic characteristics and by channel distribution. The hypotheses have been tested through T-test and ANOVA with one-way and two-way using SPSS Win Ver. 12.0. The distribution channels are classfied with five ones such as company direct operation shop, agent licensed shop, department store, internet home shopping and outlet goods shop. This study can indirectly suggest a local clothing brand industry countermeasures for raising competitiveness and changing consumer preferences in the open domestic market.

• Journal of Digital Convergence
• /
• v.17 no.4
• /
• pp.115-122
• /
• 2019

In the online marketplace, consumers are exposed to various products and freely express opinions. As consumer product reviews have a important effect on the success of online markets and other consumers, online market needs to accurately analyze the consumers' emotions about their products. Text mining, which is one of the data analysis techniques, can analyze the consumer's reviews on the products and efficiently manage the products. Previous studies have analyzed specific domains and less than 20,000 data, despite the different accuracy of the analysis results depending on the data domain and size. Further, there are few studies on additional factors that can improve the accuracy of analysis. This study analyzed 72,530 review data of food product domain that was not mainly covered in previous studies by using ensemble technique. We also examined the influence of summary review on improving accuracy of analysis. As a result of the study, this study found that Boosting ensemble technique has the highest accuracy of analysis. In addition, the summary review contributed to improving accuracy of the analysis.

• Information Systems Review
• /
• v.10 no.2
• /
• pp.195-209
• /
• 2008

Customers' needs change every moment. Profitability of stores can't be increased anymore with an existing standardized chain store management. Accordingly, a personalized store management tool needs through prediction of customers' preference. In this study, we propose a recommending procedure using dynamic customers' preference by analyzing the transaction database. We utilize self-organizing map algorithm and association rule mining which are applied to cluster the chain stores and explore purchase sequence of customers. We demonstrate that the proposed methodology makes an effect on recommendation of products in the market which is characterized by a fast fashion and a short product life cycle.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.32 no.6
• /
• pp.890-901
• /
• 2008

This study explores an initial framework for online product categorization by examining the relationships among Internet motivations, buying tendencies, and online purchase intentions for product categories. A total of 217 usable questionnaires were obtained from respondents in a southwestern state in the United States. A path model using a correlation matrix with maximum likelihood was estimated using LISREL 8.53. Findings indicated that Internet motivations consisted of four factors: Diversion, Economic, Information, and Social motivations. In addition, online products were classified into three categories based on purchase intentions: Sensory, Cognitive, and Search products. Estimated path model showed that diversion and economic motivations affected impulse buying tendency, whereas economic, information and social motivations influenced planned buying tendency in the online context. Also, the buying tendencies were significantly related to online purchase intentions for the product categories. Purchase intentions for sensory products were more strongly affected by impulse buying tendency, whereas purchase intentions for cognitive and search products were more strongly affected by planned buying tendency. Theoretical and managerial implications were discussed for devising an appropriate e-market strategy for specific product categories.

• Feed Journal
• /
• v.2 no.5
• /
• pp.96-99
• /
• 2004

상품가치를 높일 수 있는 우수한 난각질을 갖추고 있는 계란을 생산하기 위해서는 육추시부터 계획된 영양관리를 실시해야 한다. 닭 개량의 성과로 현대의 산란계는 고성능 기계와 다름없다. 126일령에 시산하고, 140일령에 산란 50%, 160일령에 산란 90%, 180일령에 산란피크 95%에 올라간다. (중략)

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.7 no.2
• /
• pp.157-165
• /
• 2012

The specific gravity is heavily focused on the service industry in the economic development of domestic and overseas in these days. This will be predicted to increase persistently in the future society. Therefore the franchise system has been diffused as one of a management methods for these service industry. The franchise system is an advanced country's circulation system which has been populated in an advanced country. After the opening of circulation market, rapid growing trend has been showing on foreign country's popular brands in the local domestic market. So the franchise system has been largely focused on among the domestic manufacturing and the circulation companies. This study is to review how the management characteristics(headquarters' supports, communication, menu development, compensation) will affect the fairness perception of franchisee owner. The results of my study are as follows; It appeared that communication, menu development and compensation affected all the distribution fairness and the procedure fairness affirmatively.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2016.07a
• /
• pp.125-127
• /
• 2016

본 논문에서는 IoT(Internet of Things) Device와 스마트폰을 이용하여 사용자의 상황을 인지하고 상황에 적합한 상품을 추천하는 추천시스템을 제안한다. 기존 추천시스템과 다르게 제안하는 IoT 환경에서의 추천시스템은 IoT Device와 스마트폰에서 얻을 수 있는 날씨, 위치, 사용자 정보 등을 파악하여 추천하는 것으로 다양하고 많은 데이터를 제공하므로 정확도를 높일 수 있다. 베이지안 네트워크(BN, Bayesian Network)는 불확실성을 효율적으로 관리하고 정확도와 실시간성을 높일 수 있는 방법으로, 상품의 특징에 따라 종류를 분류하여 추론하고 선호도가 높은 상품의 종류를 추천하는 시스템을 제안한다.

• Journal of Global Scholars of Marketing Science
• /
• v.3
• /
• pp.155-171
• /
• 1999

유통업체 부설 인터넷 쇼핑몰은 타 쇼핑몰에 비해 우수한 유통인력, 배송, 상품매입이나 관리시스템 등의 노하우가 있기 때문에 유리하다고 판단된다. 그러나 현실적으로는 이들 업체가 유리한 여건을 십분 활용치 못하고 있다. 따라서 본 연구는 이들이 왜 유리한 여건을 제대로 활용하지 못한가를 분석하고 어떻게 하면 활성화시킬 수 있을 것인가를 분석하였다. 특히 본고는 유통전문가의 입장에서 본, 기존 유통업체 부설 인터넷 쇼핑몰의 문제점 분석과 활성화 방안이다. 기존 유통업체에서 운영하는 인터넷 쇼핑몰의 영업 활성화를 저해하는 가장 중요한 요인은 이들 업체들이 '남들이 하니까 하는'식의 막연한 자세에서 찾을 수 있다. 자세히 분석해보면 먼저 단기적인 수익보다 장기성을 보는 혜안이 필요하고, 상품 품목수의 확대가 필요하다. 또한 가격경쟁력 회복, 택배시스템의 전문화, 목표 고객층과 상품의 괴리 해소, 보안문제 해결 및 소비자의 이용상 편리성 제고 등이 이루어져야 한다. 이 외에도 해외시장을 겨냥한 도메인명(domain name)의 부여와 영문사용, 소비자의 프라이버시 침해없는 정보수집 등이 제시된다.

• Journal of the Korean Home Economics Association
• /
• v.42 no.1
• /
• pp.53-67
• /
• 2004

The purpose of this study was to analyze anti-counterfeiting strategies of fashion firms in Korea. Data was collected by in-depth interviews for 25 fashion firms and 5 buying offices who had been victims of counterfeiting. The result showed that fashion firms recognized the counterfeiting, especially deceptive counterfeiting, as a serious problem in Korea and seek for stronger protection. Fashion firms adopted diverse strategies for the protection of trademark and for the protection of design； (1) Investigation and Surveillance, (2) Warning, (3) Prosecution, (4) Lawsuit, (5) Consumer education (6) High-tech tabooing, (7) Provide incentives, (8) Penalty, (9) Do nothing. Despite the diverse efforts, they proposed the most desirable strategies to deter the counterfeiting as the changes of consumer attitude and stronger legal protection.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.876-877
• /
• 2013

기존 식품건조 공정방법인 냉동보관, 자연건조에 의한 건조방식은 상품의 품질을 저하시켜 경쟁력이 낮고, 열풍건조 등 자동화된 건조공정의 경우에도 열에 의한 건조대상물의 탈색 및 변형 등의 특성변화로 인하여 고부가가치 상품의 제조하기 어려움의 한계로 인한 보관 및 상품성 저하 문제점 대두되고 있다. 따라서 이러한 문제점들을 해결하기 위하여 마이크로웨이브 건조기술 도입을 통한 건조방식 개선이 필요하다. 마이크로웨이브 건조기술은 표면 가열방식의 기존 건조방식에 비해 가열대상 물질의 표면 손상이 적고 전력효율이 우수하다는 특징으로 인하여 건조분야에서 점차 해당 건조기술이 확대되고 있다. 본 논문에서는 마이크로웨이브 건조에서 공정관리 요소들의 상태를 실시간으로 수집하고 이를 기반으로 숙련자의 작업공정 환경을 습득하여 데이터 베이스화하여 자동화된 작업공정을 제공하기 위한 모니터링 제어시스템을 제안하였다.