• Title/Summary/Keyword: industrial category

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Goal Gradient Effect in Reward-based Crowdfunding; Difference in Project Category (후원형 크라우드 펀딩에서의 목표 구배 효과; 프로젝트 카테고리 별 차이를 중심으로)

  • Hwang, Ji Hyeon;Choi, Kang Jun;Lee, Jae Young;Soh, Seung Bum
    • Knowledge Management Research
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    • v.20 no.3
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    • pp.173-193
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    • 2019
  • Reward-based crowdfunding is a funding platform that allows funds to be raised to early operators who have lack of funds, and is seen as an outstanding infrastructure that is going to lead the fourth industrial revolution in that it is a field of realization of new technologies and creative ideas by start-ups. Reward-based crowdfunding has grown in line with the trend of the fourth industrial revolution, and funding success cases are taking place in various industries that culture/art to technology/IT, including as a new means of knowledge management in a rapidly changing industrial environment. The study focused on the fact that consumer's donation purposes may also vary depending on the category of projects classified as reward-based crowdfunding. Because consumer payment decisions and motivation of consumer purchasing behavior are classified according to the purpose of purchase, the previous papers that the goal gradient effect that the main motivation of consumer donation for reward-based crowdfunding introduced vary depending on project category of utilitarian and hedonic. In this study, consumer's daily donation data is collected by Indiegogo which is a leading reward-based crowdfunding company using web-crawling and the model was defined as propensity score matching (PSM) and random effect model. The results showed that the goal gradient effect occurred in utilitarian project category, but no goal gradient effect for the hedonic project category. Furthermore, this paper developed the study of motivation of consumer donation and contributes theoretical foundation by the results consumer donation may vary depending on the project category; also, this paper has implications for an effective marketing strategy depending on the project category leaves real meaning to the projector.

The effect of perceived within-category variability through its examples on category-based inductive generalization (범주예시에 의해 지각된 범주내 변산성이 범주기반 귀납적 일반화에 미치는 효과)

  • Lee, Guk-Hee;Kim, ShinWoo;Li, Hyung-Chul O.
    • Korean Journal of Cognitive Science
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    • v.25 no.3
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    • pp.233-257
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    • 2014
  • Category-based induction is one of major inferential reasoning methods used by humans. This research tested the effect of perceived within-category variability on the inductive generalization. Experiment 1 manipulated variability by directly presenting category exemplars. After displaying low variable (low variability condition) or highly variable exemplars (high variability condition) depending on condition, participants performed inductive generalization task about a category in question. The results showed that participants have greater confidence in generalization when category variability was low than when it was high. Rather than directly presenting category exemplars in Experiment 2, participants performed induction task after they formed category variability impression by categorization task of identifying category exemplars. Experiment 2 also found the tendency that participants have greater inductive confidence when category variability was low. The variability effect discovered in this research is distinct from the diversity effect in previous research and the category-based induction model proposed by Osherson et al. (1990) cannot fully account for the variability effect in this research. Test of variability effect in category-based induction is discussed in the general discussion section.

Buyer Category-Based Intelligent e-Commerce Meta-Search Engine (구매자 카테고리 기반 지능형 e-Commerce 메타 서치 엔진)

  • Kim, Kyung-Pil;Woo, Sang-Hoon;Kim, Chang-Ouk
    • IE interfaces
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    • v.19 no.3
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    • pp.225-235
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    • 2006
  • In this paper, we propose an intelligent e-commerce meta-search engine which integrates distributed e-commerce sites and provides a unified search to the sites. The meta-search engine performs the following functions: (1) the user is able to create a category-based user query, (2) by using the WordNet, the query is semantically refined for increasing search accuracy, and (3) the meta-search engine recommends an e-commerce site which has the closest product information to the user’s search intention by matching the user query with the product catalogs in the e-commerce sites linked to the meta-search engine. An experiment shows that the performance of our model is better than that of general keyword-based search.

Psychological Essentialism and Category Representation (심리적 본질주의와 범주표상)

  • Kim, ShinWoo;Jo, Jun-Hyoung;Li, Hyung-Chul O.
    • Korean Journal of Cognitive Science
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    • v.32 no.2
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    • pp.55-73
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    • 2021
  • Psychological essentialism states that people believe some categories to have hidden and defining essential features which cause other features of the category (Gelman, 2003; Hirschfeld, 1996; Medin & Ortony, 1989). Essentialist belief on categories questions the Roschian argument (Rosch, 1973, 1978) that categories merely consist of clusters of correlated features. Unlike family resemblance categories, essentialized categories are likely to have clear between-category boundaries and high within-category coherence (Gelman, 2003; Prentice & Miller, 2007). Two experiments were conducted to test the effects of essentialist belief on category representation (i.e., between-category boundary, within-category coherence). Participants learned family resemblance and essentialized categories in their assigned conditions and then performed categorization task (Expt. 1) and frequency estimation task of category exemplars (Expt. 2). The results showed, in essentialized categories, both boundary intensification and greater category coherence. Theses results are likely to have arisen due to increased cue and category validity in essentialized categories and suggest that essentialist belief influences macroscopic representation of category structure.

Analysis of the Typology and Factors Affecting the Decline in Old Industrial Parks (노후산업단지의 쇠퇴 영향요인과 유형화에 관한 연구)

  • Park, Hwan Yong;Park, Ji Ho
    • Korea Real Estate Review
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    • v.27 no.4
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    • pp.7-20
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    • 2017
  • This study attempts to diagnose and categorize the characteristics of old industrial parks, and eventually link the results to the regeneration of industrial complexes. For this reason, we performed a factor analysis by utilizing 15 indices of 89 industrial parks, excluding 5 large equipment industry sites. The 15 indices were classified into 5 factors. Factor 1 can be described as a category of 'urbanization possibility' for the indices of building age, plot ratio of less than $1,650m^2$, and urbanization ratio of the surrounding area. Factor 2 can be described as a category of 'productive efficiency' for the indices of land productivity, amount of exports by land, employment productivity, and repair costs of industrial areas. Factor 3 can be described as a category of 'infrastructure amenity' for the indices of road ratio, plot ratio attached to the road, and parks and recreation ratio. Factor 4 can be described as a category of 'location potentiality' for the indices of land price, infrastructure age, and distance to the highway, while factor 5 can be described as a category of 'availability of supporting facilities' for the indices of parking lot ratio and supporting facility land ratio. By using these 5 factor scores, we were able to extract industrial parks included in the lower 25% of the factor score and searched for what kind of factor problem they have for each industrial park. Based on these results, this research will provide sufficient information on the decline of industrial parks with respect to their demerits. The results of this study show significant implications and contribute to the establishment of policies for regional competitiveness, as well as job creation, in the process of industrial regeneration.

Musculoskeletal diseases of heavy industrial workers

  • Baek, Hyunjin;Song, Sunhae;Lee, Donggeon;Pyo, Seunghyeon;Shin, Doochul;Lee, Gyuchang
    • Physical Therapy Rehabilitation Science
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    • v.6 no.2
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    • pp.71-76
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    • 2017
  • Objective: The purpose of this study was to investigate the musculoskeletal diseases (MSDs) that occur in heavy industrial workers according to the occupational category, prevalence, environment, and number of physical therapy visits. Design: Retrospective cohort study. Methods: For this study, data was collected of workers who were engaged in heavy industry in Korea and who visited the company physicians and received physical therapy in 2016. Data was collected from 855 subjects and was analyzed. With the data collected, analysis of the type and prevalence of MSDs and the number of physical therapy visits that have occurred according to the occupational category and environment was performed. Results: The most common MSDs were lumbar sprains and spasms (31.1%), and shoulder sprain and spasm (19.4%). In addition, the most common type of MSDs according to the occupational category and environment (occupational type) were lumbar sprain and spasms in 11 occupations, including white collar workers, and in milling, inspection, crane operation, and finishing jobs, shoulder muscle sprain and strain were the most common disorders. Also, the prevalence of MSDs according to occupational category and environment (occupational type) was the highest in workers involved with welding, which was 29.7%. Conclusions: Through this study, the type and prevalence of MSDs according to the occupational category and environment of heavy industrial workers have been confirmed. Further studies are necessary to study the future types of the work patterns of industrial workers and to develop a system for preventing and managing MSDs that may occur.

A Study on the Evaluation of Analytical Performance for Industrial Hygiene Laboratory in Korea (우리나라 작업환경측정기관 분석능력에 관한 고찰)

  • Park, D.W.;Shin, Y.C.;Lee, N.R.;Yi, G.Y.;Oh, S.M.
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.3 no.2
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    • pp.194-203
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    • 1993
  • Quality Control programs for industrial hygiene laboratory have successfully been operated since the 1st round was initiated in April 1992. Three rounds have been completed. Overall analytical performance of participants was improved through a subsquent round. The first round had a large variation among analytical results of all participants, 26.34%~504.22% of coefficient of variation. But the variation of analytical performance in the 2nd and 3rd rounds decreased to 40.42%~52.55% and 10.74%~20.98%, respectively. The difference of analytical performance among participants was decreased by operation of subsquent round. By distribution of Running Performance Index (RPI), over 50% of participants belongs to Category 3 in the first round. The average percentage of participants assigned to Category 3 in the 2nd and 3rd round was decreased to 37.2%. A definite analytical performance improvement of participants seems to be obtained. "A" and "B" group have more participants assigned to Category 3 than those of "C" group through the distribution of RPI by group divided to similar participant. By the distribution of RPI all participants, the percent of participant being over 200 RPI in the 1st round was 43%~52%, but decreased to 9%~29% and 9%~27%, in the 2nd and 3rd round, respectively. These results mentioned above indicate that the analytical performance of all participants have been improved by subsquent Quality Control Program although newcomers joined and a few participants droped out. But, there are some participants with poor analytical performance. Industrial Health Research Institute (IHRI) will offer service such as education, communication and visitation to them, and improve quality of their analytical performance in the future.

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Rule Selection Method in Decision Tree Models (의사결정나무 모델에서의 중요 룰 선택기법)

  • Son, Jieun;Kim, Seoung Bum
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.4
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    • pp.375-381
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    • 2014
  • Data mining is a process of discovering useful patterns or information from large amount of data. Decision tree is one of the data mining algorithms that can be used for both classification and prediction and has been widely used for various applications because of its flexibility and interpretability. Decision trees for classification generally generate a number of rules that belong to one of the predefined category and some rules may belong to the same category. In this case, it is necessary to determine the significance of each rule so as to provide the priority of the rule with users. The purpose of this paper is to propose a rule selection method in classification tree models that accommodate the umber of observation, accuracy, and effectiveness in each rule. Our experiments demonstrate that the proposed method produce better performance compared to other existing rule selection methods.

Development of Evaluation Indicator on Industrial Safety and Health Education Program (산업장 안전보건교육 프로그램 평가지표 개발)

  • Oh, Young-A;Lee, Myung-Sun
    • Korean Journal of Health Education and Promotion
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    • v.24 no.4
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    • pp.41-64
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    • 2007
  • Objectives: The purpose of this study was to verify the validity of the evaluation indicators on safety and health education programs provided to Korean industrial workers, by developing further. Methods: To develop the early evaluation indicator, the secondary analysis was made on 'Survey on Industrial safety & health trends', the national wide survey data product by Korea Occupational Safety & Health Agency, as well as the various examinations on literatures. To validate such developed evaluation indicator, 13 safety and health managers in Focus Group discussion to prove the reliability of the contents were composed. To confirm the face validity, the interview with 6 industrial safety and health education experts was held to study the appropriateness of the content. With the cooperation from Korea Occupational Safety & Health Agency, the structured survey was performed with the safety and health managers from 588 businesses who participated in the education program for the later half of 2006. In this study, the number of responses was randomly divided into 1:1 two groups, in which one group was for the Exploratory Factor Analysis and the other group was for the Confirmatory Factor Analysis. Results: The results were as follows. First, for the Structure category, 18 evaluation indicators were developed into 4 evaluation categories such as a preliminary examination, education staff and organization, education environment and rules/ regulation. Secondly, the Activity category was comprised of 10 evaluation indicators with respect to 2 areas of curriculum satisfaction and program evaluation. Finally, for the Output category, 9 evaluation indicators were developed into 2 evaluation areas such as documentation and information share and education effects. Conclusions: The evaluation indicators developed through this study will possibly develop and be applied to evaluation tools on safety and health education program, which may further become the standardized indicators to better operate the industrial safety and health education programs.

Study on the lead exposure of workers in a litharge making industry (모 일산화 연 제조 업체 근로자들의 연 폭로에 관한 연구)

  • Lim, Sang-Bok;Lim, Jung-Kyu;Lee, Sung-Soo;Ahn, Kyu-Dong;Lee, Byung-Kook
    • Journal of Preventive Medicine and Public Health
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    • v.28 no.4 s.51
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    • pp.875-884
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    • 1995
  • In order to investigate the level of lead exposure of workers in litharge making industry and to evaluate how lead exposure, personal habit such as smoking and drinking affect the prevalence of lead related symptoms and other study variables, we investigate 114 workers(24 office workers and 90 lead exposed workers) in a litharge making industry. Study variables chosen were blood lead(PbB), zinc protoporphyrin in whole blood(ZPP), Hemoglobin(Hb), hematocrit (Hct), SGOT and SGPT symptom questionnaires which had 15 lead exposure related symptoms were provided to all workers and filled up by themselves and reconfirmed by physician. The results obtained were as follows; 1. The mean value of PbB, ZPP and SGOT in lead exposed group were higher than those of non-exposed group, and there were no differences of means in other study variables. 2. The smoking and drinking rate of study subjects were 65.8% and 71.0% as a whole. Smoking rates were lower in non-exposed group than exposed group, but drinking rate were not. 3. There were no differences of mean values of study variables between smoker and non-smoker in non-exposed and exposed group, but there was a difference of mean value of SGOT between drinker and lion-drinker in lead exposed group. 4. While the symptom prevalence of lead exposed group were higher in neuromuscular category than non-exposed group, those of non-exposed group were higher or same with exposed group in gastrointestinal and general symptom category. 5. The symptom prevalence of smoker were higher than non-smoker regardless of exposure. 6. The symptom prevalence of drinker were only higher in gastrointestinal symptom category than non-drinker. 7. In multiple stepwise regression analysis of lead related symptoms as dependent variable and blood lead, smoking habit, drinking habit and work duration as independent variables, drinking habit contributed to the gastrointestinal symptom category, whereas blood lead and smoking contributed to the neuromuscular symptom category. For the total symptoms work duration and smoking habit contributed significantly.

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