• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권10호
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• pp.2818-2839
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• 2024

With the continuous growth of e-commerce sales, a robust product selection model is essential to maintain competitiveness and meet consumer demand. Current research primarily focuses on single models for sales prediction and lacks an integrated approach to sales forecasting and product selection. This paper proposes a comprehensive framework (VN-CPC) that combines sales forecasting with product selection to address these issues. We integrate a series of classical machine learning models, including Tree Models (XGBoost, LightGBM, CatBoost), Support Vector Machine (SVM), Bayesian Ridge, and Artificial Neural Networks (ANN), using a voting mechanism to determine the optimal weighting scheme. Our method demonstrates a lower Root Mean Square Error (RMSE) on collected Amazon data than individual models and other ensemble models. Furthermore, we employ a three-tiered clustering model: Initial Clustering, Refinement Clustering, and Final Clustering, based on our predictive model to refine product selection to specific categories. This integrated forecasting and selection framework can be more effectively applied in the dynamic e-commerce environment. It provides a robust tool for businesses to optimize their product offerings and stay ahead in a competitive market.

• 품질경영학회지
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• 제40권3호
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• pp.347-358
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• 2012

Purpose: Given the mixture components - process variables experimental data, we propose the strategy to find the proper combined model. Methods: Process variables are factors in an experiment that are not mixture components but could affect the blending properties of the mixture ingredients. For example, the effectiveness of an etching solution which is measured as an etch rate is not only a function of the proportions of the three acids that are combined to form the mixture, but also depends on the temperature of the solution and the agitation rate. Efficient designs for the mixture components - process variables experiments depend on the mixture components - process variables model which is called a combined model. We often use the product model between the canonical polynomial model for the mixture and process variables model as a combined model. Results: First we choose the reasonable starting models among the class of admissible product models and practical combined models suggested by Lim(2011) based on the model selection criteria and then, search for candidate models which are subset models of the starting model by the sequential variables selection method or all possible regressions procedure. Conclusion: Good candidate models are screened by the evaluation of model selection criteria and checking the residual plots for the validity of the model assumption. The strategy to find the proper combined model is illustrated with examples in this paper.

• 한국조리학회지
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• 제24권3호
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• pp.204-214
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• 2018

The study set up research models and hypotheses to examine the influence of HMR selection attributes on satisfaction and repurchase intention by distribution channels(convenience store/large market), verify the research hypothesis through empirical analysis, respectively. The purpose of this study is to investigate the convenience sampling method of HMR purchase from convenience store and large market in Seoul and Gyeonggi area. The survey was conducted from January 8, 2018 to January 26, 2018, and 300 questionnaires were distributed and 289 of them were used as an effective data. For the empirical analysis, SPSS 20.0 was used. The results of the analysis are as follows. First, product quality only has a significant effect on satisfaction among HMR selection attributes at convenience store, and product safety and convenience have no significant effect on satisfaction. Second, only the convenience of HMR selection attributes in the large market has a significant effect on satisfaction, and product safety and product quality have no significant effect on satisfaction. Third, HMR satisfaction in convenience stores and large markets has a significant effect on repurchase intention. The purpose of this study is to investigate the relationships among HMR selection attributes, satisfaction, and repurchase intention, which are important in the existing HMR research, by each distribution channel(convenience store/large market). It is meaningful to help them establish an effective sales strategy for each segment.

• 지능정보연구
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• 제17권4호
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• pp.255-277
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• 2011

PSS(Product Service System) 시스템은 제품과 서비스가 하나로 통합되어 고객에게 차별화된 가치를 제공하고, 기업이 경쟁력을 가지고 지속적인 성장을 할 수 있게 지원하는 시스템이다. 본 논문에서는 PSS 시스템으로 성공한 Amazon의 Kindle과 Apple의 iPod, 실패한 Microsoft의 Zune과 Sony의 e-book reader를 채택하여 중다 사례연구 방법론을 통해 성공요인과 실패요인을 도출하고자 한다. 이를 위하여, 사례 분석을 통해 가설을 도출하고, 연관 문헌연구와의 비교 및 분석을 통하여 PSS 시스템에서 상업적으로 성공하기 위한 전략적 시사점을 제시하였다.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.130-137
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• 2019

We conducted this study to identify the composition factors for consumers' selection attributes of accommodation applications and to identify the differences in the selection attributes perception of accommodation applications based on demographic characteristics and use status. According to the study, 6 factors were derived as the components of the selectivity of accommodation application and were named convenience, interactivity, economic efficiency, transaction reliability, product reliability and informativeness. And the respondents differed in their selection attributes perception of the accommodation application they used. In particular, it was found that the highest perception of informativeness and interactivity, and the lowest perception of product reliability. Finally, there were differences in the selection attributes perception of the accommodation application they used by demographic characteristics and use status. Based on the results of this study, we should strive to derive the effective marketing strategy needed for travel industry-related companies.

• 벤처창업연구
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• 제15권1호
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• pp.185-195
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• 2020

본 연구에서는 중소벤처기업의 기술혁신역량과 신제품개발성과가 상호 인과관계가 있음을 밝히고, 기술혁신역량을 강화하기 위한 수단으로 협업을 도입하면 신제품개발성과가 향상됨을 규명하였다. 연구방법으로는 국내 소재 중소벤처기업 R&D업무에 종사하는 실무담당자들을 대상으로 설문조사를 실시하였다. 연구결과, 중소 벤처기업의 기술혁신역량에 속하는 기술전략, 기술학습, 그리고 개방형 혁신이 신제품개발성과에 영향을 미치는 것으로 나타났다. 즉 신제품개발성과에 미치는 다수의 핵심전략으로서 협업을 선택한 결과, 협업이 신제품개발성과에 영향을 주는 전략임을 규명하였다. 아울러 협업을 도입하면 기술혁신역량이 신제품개발성과를 강화하는데 조절역할을 하는 지도 함께 살펴보았는데, 일반적인 협업은 기술전략 강화에는 직접적인 영향을 미치지 않지만, 협업에 따라서는 기술전략과 개방형 혁신이 강화되어 신제품개발성과의 크기에 긍정적인 영향을 주는 것으로 평가되었다.

• 한국엔터테인먼트산업학회논문지
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• 제13권7호
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• pp.61-74
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• 2019

본 연구의 목적은 화장품 소비자들의 성향을 파악하고, 소비성향 요인을 중심으로 제품선택속성과 정보탐색행동에 어떠한 영향을 주는지에 대하여 영향관계를 알아보고자 한다. 이를 통해 화장품 시장의 차별화된 마케팅 전략수립 방안을 찾음으로서 기업 경영에 필요한 실무적 시사점을 제안하고 화장품 산업에서 마케팅 방향을 설정하는데 유용한 정보를 제공하고자 하는 것에 의의를 두고 있다. 연구의 결과는 다음과 같다. 각 변수의 요인을 추출한 결과 쇼핑성향은 유행추구 성향, 쾌락 추구 성향, 과시 추구 성향, 경제 추구 성향으로 도출되었고, 제품선택속성은 브랜드 요인, 서비스 요인, 마케팅 요인, 품질 요인으로 도출되었으며 정보탐색행동은 구매 전 탐색, 지속적 탐색으로 도출되었다. 변수 간 영향관계를 알아보기 위해 선행연구를 근거로 3개의 가설을 설정하였다. 검증한 결과 첫째, 소비성향은 제품선택속성에 부분적 영향을 미치는 것으로 나타났다. 둘째, 소비성향은 정보탐색행동에 부분적 영향을 미치는 것으로 나타났다. 제품선택속성은 정보탐색행동에 부분적 영향을 미치는 것으로 나타났다.

• 한국컴퓨터정보학회논문지
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• 제15권2호
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• pp.179-187
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• 2010

본 연구는 제품구조의 관점으로부터 접근하여 우리나라의 전자산업 및 자동차산업에 대한 경쟁력 제고 방안을 모색하고자 한다. 제품구조는 Modular(짜맞추기)형과 Integral(현장맞춤)형의 두 가지로 분류된다. 부품 간 특성으로서는 서브시스템 간의 독립성이 높은 것이 Modular형이고, 서브시스템 간에 높은 상호의존성이 있는 것이 Integral형이다. 제품구조의 차이에 의해서 그것에 적합한 상품개발의 조직능력이 다르다. 상품개발의 조직능력에는 크게 나누어서 '통합 현장맞춤 능력'과 '선택 짜맞추기 능력'이 있다. 자동차와 같은 Integral형 제품에는 부품 간이나 기업 간에서 현장맞춤 능력이 중요하며, PC와 같은 Modular형 제품에는 최적의 부품이나 기업을 선택하여 효과적으로 그것들을 짜맞추는 능력이 필요하다. 제품구조에 관한 '설계 제조전략'과 고객가치에 관한 '고객가치전략'을 통합함으로써 상품의 경쟁력 제고 전략을 추구한다.

• International Journal of Advanced Culture Technology
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• 제6권3호
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• pp.88-97
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• 2018

As the trade among the countries increases, domestic agriculture is facing a crisis. Especially domestic rice industry is suffering from the rice market opening problem and the domestic rice industry itself. As a counter measure against this, despite the promotion of the rice processing food industry, the export of rice processed food has decreased by an average annual rate of 12.3% since 2011 due to the lack of customized export strategy, such as low price competitiveness, insufficient quality and brand management. As a measure, we selected indicators to prioritize establishment of export strategy of rice processed food business and used AHP methodology to draw the weight for each indicators. The selection of export strategy prioritization indicator was based on the marketing mix theory, various previous research reviews and expert consulting. Five higher level indicators and nineteen detailed indicators were derived, and a weighted value of them was analyzed using a professional package. As a result, the relative importance of higher level indicators was 45.5% for product differentiation, 18.4% for management competence, 13.0% for export infrastructure, 12.0% for product pricing, and 11.1% for product distribution. The relative importance of the lower level indicators was 17.3% for product safety, 15.3% for product quality, 9.1% for management expertise, and 7.0% for product brand. This result is expected to be used as export strategy indicators of rice processed food export business.

• 디지털융복합연구
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• 제3권2호
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• pp.23-37
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• 2005

On the situation cooperating with business partners on the supply chain, systematic decision making process is a critical issue for them. The two major issues of purchasing strategy such as selecting vendors and managing them are important part of their overall business activities. This study mainly focus on the former issue of the vendor selection. Through the empirical study, analytical hierarchy process (AHP) method was applied to select vendors among supplier vendors based on four selection criteria such as the level of quality, product on management ability, delivery, and price. The results of study showed the main criteria of vender selection was the ability of quality management. The vender selected based on AHP and the current selection method was different, but implicitly projected the dilemma situation between quality and price which occurs in decision making process of real life.