• 대한가정학회지
• /
• 제35권5호
• /
• pp.177-194
• /
• 1997

This study attempts to explore urban married women's needs for consumer information contents. In addition, the causality of the needs for consummer information contents and related variables is investigated. Major findings are the following: (1) Respondents' need for information on“the product selection”and “the use and management”of the washing maching or hair dryer is high, while the in need for the information on“the existing brands”is very low. (2) Among several relevent characteristics, respondents' product involvement is strongly related to the needs for consumer information contents. (3) The results of the analysis of casual model from washing maching showed that respondents' age, purchasing experience, perception of the price dispersion and quality difference, self confidence in the product evaluation affect on the need for consumer information contents directly. While respondents' income and education level show a indirect effect. (4) The results of the analysis of causal model from hair dryer showed that respondents' perception of the price dispersion, quality difference and product complexity affect on the need for consumer information contents directly. While respondents' age, purchasing experience, self-confidence in the product evaluation show a indirect effects.

• 한국IT서비스학회지
• /
• 제19권1호
• /
• pp.103-112
• /
• 2020

Job seekers are making various efforts to find a good company and companies attempt to recruit good people. Job search activities through self-introduction essay are nowadays one of the most active processes. Companies spend time and cost to reviewing all of the numerous self-introduction essays of job seekers. Job seekers are also worried about the possibility of acceptance of their self-introduction essays by companies. This research builds a classification model and conducted an experiments to classify self-introduction essays into pass or fail using deep learning and decision tree techniques. Real world data were classified using stratified sampling to alleviate the data imbalance problem between passed self-introduction essays and failed essays. Documents were embedded using Doc2Vec method developed from existing Word2Vec, and they were classified using logistic regression analysis. The decision tree model was chosen as a benchmark model, and K-fold cross-validation was conducted for the performance evaluation. As a result of several experiments, the area under curve (AUC) value of PV-DM results better than that of other models of Doc2Vec, i.e., PV-DBOW and Concatenate. Furthmore PV-DM classifies passed essays as well as failed essays, while PV_DBOW can not classify passed essays even though it classifies well failed essays. In addition, the classification performance of the logistic regression model embedded using the PV-DM model is better than the decision tree-based classification model. The implication of the experimental results is that company can reduce the cost of recruiting good d job seekers. In addition, our suggested model can help job candidates for pre-evaluating their self-introduction essays.

• 한국정보시스템학회지:정보시스템연구
• /
• 제32권3호
• /
• pp.133-150
• /
• 2023

Purpose This study aims to develop classification models using a decision tree algorithm to identify core keywords and rules influencing online consumer review evaluations for the robot vacuum cleaner on Amazon.com. The difference from previous studies is that we analyze core keywords that affect the evaluation results by dividing the subjects that evaluate online consumer reviews into self-evaluation (star ratings) and peer evaluation (helpfulness votes). We investigate whether the core keywords influencing star ratings and helpfulness votes vary across different products and whether there is a similarity in the core keywords related to star ratings or helpfulness votes across all products. Design/methodology/approach We used random under-sampling to balance the dataset. We progressively removed independent variables based on decreasing importance through backwards elimination to evaluate the classification model's performance. As a result, we identified classification models that best predict star ratings and helpfulness votes for each product's online consumer reviews. Findings We have identified that the core keywords influencing self-evaluation and peer evaluation vary across different products, and even for the same model or features, the core keywords are not consistent. Therefore, companies' producers and marketing managers need to analyze the core keywords of each product to highlight the advantages and prepare customized strategies that compensate for the shortcomings.

• 한국디지털건축인테리어학회논문집
• /
• 제13권2호
• /
• pp.5-16
• /
• 2013

With regard to the new town developments which have supplied lots of houses in a short period of time in Korea this study aims to evaluation and finding out problems of the developments finally to suggest the direction. A new town's competitiveness model set in the previous paper takes a role of research frame to recognize the problems and to show the direction. The model explains that new town's competitiveness is composed of 4 factors; Self-sufficiency, Innovativenss, Identity and Sustainability. Problems of the developments are as follows; incongruity of spatial structure especially in the capital region, deficiency of self-sufficiency resulted from single-use development, restriction on mixed development by a number of regulations in capital region, low business value, grand scale of land compensation, house oriented planning guidance, unfair share of infrastructure fee, and physical structure depending mainly on fossil energy. Based on this recognition this study conclusively suggests corresponding direction such as role performance as a means of urban growth management, promotion of quality of life by accumulating social capital, introduction of socially sustainable management program for the new towns, discovery and creation of town's value, reexamination of self-sufficiency's meaning or target, selective deregulation of metropolitan development, institutional strategy for cost reduction, changeover from house index to urban function oriented index, and pursuit of low-carbon green town.

• 벤처창업연구
• /
• 제2권2호
• /
• pp.49-68
• /
• 2007

본 연구는 인터넷 쇼핑몰 창업 시 활용할 수 있는 비즈니스 모델 사전 자가 평가 방법론을 개발하는 것이다. 자가 평가 방법론은 Bruce Merrifield 박사가 제안한 BMO 모형을 인터넷 쇼핑몰에 맞도록 재구성하였으며, 평가 항목이 변형을 위해 인터넷 비즈니스의 특징, 인터넷 비즈니스 모델의 사업성 평가에 관한 이론, e-business의 성공 실패요인, 벤처기업의 성공 실패요인, 기술가치 평가 요인, 인터넷 쇼핑몰의 성공 실패요인 등에 관한 선행연구들을 고찰하였다. 재구성된 사업매력도 평가항목은 매출규모, 시장성장성, 경쟁력, 위험분산도, 업계 재구축 가능성, 특별한 사회적 상황이며, 자사회의 적합성 평가항목은 경영자특성, 컨텐츠제공력, 상호작용성 구현 및 운영, Commerce, Fulfillment, 마케팅력이다. 재구성된 BMO모형으로 인터넷 쇼핑몰 사업을 진출하고자 하는 I사, D사, G사를 대상으로 사례연구를 하였다. 본 연구는 자가평가를 통한 부적격한 인터넷 쇼핑미로 비즈니스 모델의 사업화 방지, 인터넷쇼핑몰 비즈니스 모델의 평가를 통해 사업을 점검하고 실행할 수 있는 지침 제공, 인터넷 쇼핑몰 비즈니스 모델이 실행에 필요한 자원의 수준과 확보의 용이성 평가에 활용될 수 있다.

• 국제학술발표논문집
• /
• The 1th International Conference on Construction Engineering and Project Management
• /
• pp.347-352
• /
• 2005

This paper presents an evaluation model for the performance of Value Engineering Study (VES) for construction projects. The proposed model consists of 6 PEGs and 32 PEIs. The expertise of the proposed model was collected from VE experts in Taiwan using two-phase questionnaire survey. One real-life VES of construction projects was used to demonstrate how the proposed model works. The proposed model not only can be used by project owners to appraise the performance of VES team but also be used by the VES teams to conduct self-diagnosis, improvement, and motivation for achieving better performance. Additionally, the proposed model is capable of: (1) clarifying the defects of VES and avoiding committing same mistakes, (2) assisting inexperience team members to implement VES and catch the critical issues of a VES.

• 컴퓨터교육학회논문지
• /
• 제16권1호
• /
• pp.73-80
• /
• 2013

정부는 최근 연구개발 패러다임 변화에 따라 미래 성장잠재력 확충 및 국가경쟁력 제고를 위하여 선진기술을 모방하는 추격형 R&D에서 탈피하여 선도형 R&D로의 변환을 추진하고 있다. 이에 따라 국가연구개발사업을 통한 기초 원천 연구분야 및 국가 중요핵심 기술에 대한 연구가 활발히 이루어지고 있어 이에 대한 보안의 중요성이 부각되어 다양한 보안진단 및 평가가 시행되고 있다. 그러나 기존 연구보안수준 평가는 보안관리 관점에서 도메인으로 분류하고 그에 따른 평가지표를 제시하여 연구자의 자율적인 연구보안평가 시 한계점을 노출하였다. 이에 본 논문에서 연구관리 프로세스 관점으로 도메인을 설정한 후 그에 따른 연구보안 평가지표를 설계하여 연구보안 수준의 자가진단에 효과적으로 활용할 수 있는 평가모델을 제시하였다.

• Educational Technology International
• /
• 제24권2호
• /
• pp.203-236
• /
• 2023

The purpose of this study is to explore the structural relationship between COVID-19-induced sub-dimensions of Online Self-Regulated Learning (OSRL) and satisfaction in online courses conducted in the 'post-COVID-19 era,' as well as to investigate the moderating effects of situational variables such as 'course planning,' 'device type,' and 'course repetition.' To achieve this, the study constructs a measurement model with sub-dimensions of Environment Structuring, Learning Strategy, Help Seeking, and Self-Evaluation as components of OSRL. Participants in this study were selected from university students who enrolled in online courses offered by the Department of Education at University A in the metropolitan area. The research findings reveal several key insights. First, among the sub-dimensions of Online Self-Regulated Learning, Environment Structuring, Learning Strategy, and Self-Evaluation significantly influence satisfaction with online courses. Second, students' satisfaction with online courses significantly influences their intention to continue participating in such courses. Third, 'course planning' during online course hours and 'course repetition' play a moderating role in the relationship between sub-dimensions of Online Self-Regulated Learning and satisfaction. Based on the discussion of these research results, this study concludes by suggesting some future implications and challenges of online courses.

• 한국치위생학회지
• /
• 제11권3호
• /
• pp.313-323
• /
• 2011

Objectives : The purpose of this study was to examine effect of attribution disposition and self-efficacy on test anxiety in selected college students who major in dental hygiene. This study provides basic data to develop a program for dental hygiene students to reduce test anxiety. Methods : 328 students from A college in Kyungnam, B college in Chunnam and C university in Chungnam who majored in dental hygiene were asked to answer the self-efficacy scale, attribution disposition and test anxiety scale in November and December. 2008. Total of 311 copies were analyzed. Using SPSS 15.0, correlation analysis was conducted and structural model was verified using AMOS 7.0. Evaluation of mediated effect of attribution disposition in suggested structural model was assessed using Sobel verification. Results : 1. Looking at the correlation among self-efficacy, attribution disposition and test anxiety. Self-efficacy had negative relation with external attribution disposition and test anxiety. External attribution disposition had positive relation with test anxiety. 2. Path coefficient from self-efficacy to internal attribution disposition was significant positively and path coefficient from self-efficacy to external attribution disposition was significant negatively. However, the path coefficient from self-efficacy to test anxiety was insignificant. 3. Path coefficient from external attribution disposition to self-efficacy was positively significant. However, the path coefficient from internal attribution disposition to self-efficacy was not significant statistically. 4. In structural model among attribution disposition, test anxiety and self-efficacy, indirect effect of external attribution dispositions was significant statistically. The students with higher self-efficacy showed lower external attribution disposition, the students with lower external attribution disposition showed lower test anxiety. Conclusions : To reduce test anxiety, educators should find a strategy that can improve students' self-efficacy and change their attribution disposition.

• International Journal of Advanced Culture Technology
• /
• 제9권4호
• /
• pp.274-281
• /
• 2021

In the field of artificial intelligence education, discussions on the direction of artificial intelligence education are actively underway, and it is necessary to establish a foundation for future information education. It is necessary to design a creative convergence teaching-learning and evaluation method. Although AI experience coding education has been applied, the evaluation stage is insufficient. In this paper, we propose an evaluation system that can verify the validity of the proposed education model to find a way to supplement the existing learning module. The core components of this proposed system are Assessment-Factor, Self-Diagnosis, Item Bank, and Evaluation Result modules, which are designed to enable system access according to the roles of administrator, instructors and learners. This system enables individualized learning through online and offline connection.