• Title/Summary/Keyword: knowledge dimensions

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Effect of Patient Safety Training Program of Nurses in Operating Room

  • Zhang, Peijia;Liao, Xin;Luo, Jie
    • Journal of Korean Academy of Nursing
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    • v.52 no.4
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    • pp.378-390
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    • 2022
  • Purpose: This study developed an in-service training program for patient safety and aimed to evaluate the impact of the program on nurses in the operating room (OR). Methods: A pretest-posttest self-controlled survey was conducted on OR nurses from May 6 to June 14, 2020. An in-service training program for patient safety was developed on the basis of the knowledge-attitude-practice (KAP) theory through various teaching methods. The levels of safety attitude, cognition, and attitudes toward the adverse event reporting of nurses were compared to evaluate the effect of the program. Nurses who attended the training were surveyed one week before the training (pretest) and two weeks after the training (posttest). Results: A total of 84 nurses participated in the study. After the training, the scores of safety attitude, cognition, and attitudes toward adverse event reporting of nurses showed a significant increase relative to the scores before the training (p < .001). The effects of safety training on the total score and the dimensions of safety attitude, cognition, and attitudes toward nurses' adverse event reporting were above the moderate level. Conclusion: The proposed patient safety training program based on KAP theory improves the safety attitude of OR nurses. Further studies are required to develop an interprofessional patient safety training program. In addition to strength training, hospital managers need to focus on the aspects of workflow, management system, department culture, and other means to promote safety culture.

The Influence of Network and Knowledge Spillovers on Inventor Performance: Evidence from Co-Inventions at Hyundai Motors and Samsung Electronics (삼성전자/현대자동차 공동발명자를 이용한 네트워크와 지식 파급효과 풀이 발명자 혁신성과에 미치는 영향 분석)

  • Kineung Choo
    • Journal of Technology Innovation
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    • v.31 no.2
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    • pp.263-301
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    • 2023
  • This study analyzes whether the network characteristics lead to differences in innovation performance between inventors, using the case of Samsung Electronics and Hyundai Motor Company which have applied for the most patents in the electronics and automobile industries while showing significant differences in the degree of collaborative invention. The more inventors an inventor is connected with in the network, the higher innovation performance is achieved. While existing literature addressed intra- / interindustry, and intra- / inter- group spillovers at the organizational level, this study extends this discussion to the inventor level. This study newly introduces spillover pools from network components and then constructs spillover pools in three dimensions of the group, the industry, and the network component. The study analyzes the effects of each spillover pool on invention performance of an individual inventor and compares the effects between spillover pools. At the inventor level, the innovative effects of spillover pools were confirmed. The results of this study suggest that the inventor's network characteristics and spillover pools can be used to predict the inventor's innovation performance.

A basic research for the development of Korean mathematics education standards for the next generation (미래세대 수학교육표준 개발을 위한 기초 연구)

  • Kwon, Oh Nam;Kim, Young Rock;Ko, Ho Kyoung;Rim, Haemee;Park, Jung Sook;Park, Jee Hyun;Park, Soomin;Lee, Kyungwon;Park, Jin Hee
    • The Mathematical Education
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    • v.61 no.1
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    • pp.199-220
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    • 2022
  • This study aims to elicit the vision of the future human being and mathematical competencies that next generation should pursue to be nurtured through mathematics education as regarding the need for a national mid-term to long-term mathematics education standard for nurturing learners that can accommodate changes in the future society is emerging. The research team established the criterion for domains of mathematical competencies through the analysis of prior research, and then, refined three dimensions of mathematical competencies and the domains of each dimension through expert advice (9 people in total, 3 times) and focus group interviews (10 people in total, 4 times). After conducting a large-scale survey (295 people in total) which includes elementary and secondary teachers, professors, and researchers, etc., the vision of the future human being and mathematical competencies were elicited. In order to utilize the vision of the future human being and mathematical competencies, five stages of research on the development and utilization of mathematics education standards were proposed. Cooperating with related organizations, securing the research project period and expanding the scope of research team composition, and providing web-based documentation of mathematics education standards will be needed for the follow-up studies.

The Chain Hotel Chef's Pygmalion Leadership for Effective Teamwork of Cooks (효과적인 팀워크를 위한 프랜차이즈 호텔 조리장의 피그말리온 리더십)

  • Koo, Dong-Woo;Lee, Sae-Mi;Jang, Hae-Jin
    • The Korean Journal of Franchise Management
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    • v.7 no.1
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    • pp.13-20
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    • 2016
  • Purpose - In the past, the chain hotel chefs only serve food to their customers. However recently, the hotel chefs play a pivotal role in hotel including considering various customer preferences, safety and nutrition of food, and increasing profits through effective human resource management and inventory control. With the change of the chain hotel chef's' roles, pygmalion leadership, one of new leadership styles, focuses on the effect that leader's positive expectation let subordinates have motivation and more engage in work. This study investigates the effect of chain hotel chef's pygmalion leadership on leader trust and organizational trust. Research design, data, and methodology - This study was to investigate the structural relationships among chain hotel restaurant chefs' pygmalion leadership, hotel restaurant cooks' leader trust, organizational trust, and teamwork, and how leader trust and organizational trust play mediating roles in the relationship between pygmalion leadership and teamwork. In this model, pygmalion leadership includes 4 dimensions: Climate, Feedback, Input, and Output. Data were collected using self-administered questionnaire survey on cooks of Deluxe hotel restaurants located in Seoul and Gyonggi-Do. The samples for data analyses were 243 excepting unusable responses. Result - The findings can be summarized as follows: First, climate and feedback had a positive effect on leader trust, respectively. Second, feedback and output had a statistically positive effect on organizational trust, respectively. Third, leader trust had positive effects on organizational trust and teamwork. Fourth, organizational trust had a significant effect on teamwork. Conclusions - As a chain hotel chef treats his/her staffs sincerely, they will be more engaged in work by establishing trust in their leader. Ultimately, it leads to higher sales profit and customer satisfaction. In addition, a hotel can encourage chefs and other staffs to treat each other as if the student-instructor relations, not just commanding staffs. Then, cooks build up their trust to their leader and organization for its sustained growth and development, and the internal bond in organization including teamwork is strengthened. Therefore, to strengthen teamwork and organizational trust, there should be active communication, knowledge sharing, goal sharing, and cooperation between chefs and cooks.

The Influence of Elderly Contact, Attitudes Toward Elderly and Death Anxiety on Aging Anxiety of College Students (노인접촉, 노인에 대한 태도 및 죽음불안이 대학생의 노화불안에 미치는 영향)

  • Min Hee Kim
    • Korean Journal of Culture and Social Issue
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    • v.19 no.3
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    • pp.435-456
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    • 2013
  • This study examined the factors influencing aging anxiety among college students. 336 college students from universities in Seoul and Gyeonggi-Do were participated in the survey. Regression analyses confirmed that variables influencing 4 dimensions of aging anxiety are different. Quality of contact and attitude toward elderly predicted 'Fear of Old People' dimension. As for 'Psychological Concerns', death anxiety, attitude toward elderly and Quality of contact were influencing factors. Death anxiety, Quality of contact and sex was significant factors predicting. 'Physical/Appearance anxiety'. As for Fear of Losses, Death anxiety and attitude toward elderly affect. On the whole college students' aging anxiety tended to increase as having lower death anxiety, positive quality of contact, positive attitude towards elderly. And female has higher Physical/ Appearance anxiety than male. whereas results have not found a correlation between either knowledge of aging and frequency of contact with aging anxiety. Discussion focuses on the importance of the findings, limitations and future directions.

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The Hazardous Components and Prevailing Rate of Sarcopenic Obesity in Younger Women : Based on 2008-2011 Korean National Health and Nutrition Examination Surveys

  • Jongseok Hwang;Chang-Ryeol Lee
    • Journal of The Korean Society of Integrative Medicine
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    • v.12 no.2
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    • pp.1-10
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    • 2024
  • Purpose : Sarcopenic obesity is associated with adverse health consequences in females. Nevertheless, there has been limited research on the hazardous components and prevailing rates of sarcopenic obesity among younger women. This study aimed to identify the hazardous components and prevailing rates of sarcopenic obesity in younger females. Methods : This study utilized data based on 2008~2011 from the Korea National Health and Nutrition Examination Surveys by the centers for disease control and prevention. The analysis was concentrated on a subset of 1,520 women aged between 30 and 39 years of age. The participants answered a questionnaire to gather demographic information. They then underwent a physical examination to measure the human detention variables, which was conducted utilizing bioelectrical impedance analysis. The blood pressure and blood laboratory tests were determined using established laboratory protocols for evaluating blood parameters. Results : This study included 1,520 patients aged 30~39 years old. The mean age of the participants was 34.97 (years)±2.74 and the overall prevailing rate was 1.84 %. The hazard components in human dimensions were the height, weight, body mass index (BMI), waist circumference (WC) and skeletal muscle mass index (SMI). The hazard components in biochemical and blood pressure were high fasting glucose, increased triglyceride, elevated total cholesterol, high systolic blood pressure, and increased diastolic blood pressure with p-values <.05. Conclusion : This study examined the hazardous components and prevailing rates of sarcopenic obesity in younger women living in the community. The results contribute to the current body of knowledge on sarcopenic obesity and shed light on possible hazardous components in a younger female population. Based on these findings, there should be increased health and medical attention towards the prevention, management, and health promotion related to reducing risk factors for sarcopenic obesity in younger women.

Concept Analysis of Social Intelligence of Nurses Using Hybrid Model (혼종모형을 이용한 임상간호사의 사회지능 개념분석)

  • Lee, Kyung Ran;Lee, Na Kyoung;Oh, Hee;Park, Kyoung Ae
    • Journal of Korean Academy of Nursing
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    • v.54 no.3
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    • pp.459-474
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    • 2024
  • Purpose: The purpose of this study was to conduct a concept analysis of social intelligence in nurses so that applying social intelligence to the nursing field. Methods: In this study, we followed the hybrid model procedure, involving the following steps: First, in the theoretical stage, the attributes and definitions of the concept of social intelligence were determined through literature review. Second, the concepts' reality was confirmed during fieldwork. In the final analysis stage, the results confirmed in the theoretical and fieldwork stages were compared and analyzed to confirm the properties and definition of the concept. Results: Nurses' social intelligence consists of three dimensions: social cognitive nursing competency, human-centered social evolution, and skills for solving complex nursing situations. Nurses' social intelligence is a professional nursing competency that flexibly coordinates complex nursing situations, developed through accumulating experiences of continuous reflection and relationship expansion based on receptive listening and social sensitivity in clinical interpersonal relationships. Conclusion: Nurses' social intelligence is widely used in clinical practice and is shown to have a significant direct and indirect impact on clinical nursing. To effectively apply social intelligence in the clinical context, individual and organizational efforts are required to share and transfer knowledge and capacity-building methods through collective intelligence and education.

How Can Non.Chaebol Companies Thrive in the Chaebol Economy? (비재벌공사여하재재벌경제중생존((非财阀公司如何在财阀经济中生存)? ‐공사층면영소전략적분석(公司层面营销战略的分析)‐)

  • Kim, Nam-Kuk;Sengupta, Sanjit;Kim, Dong-Jae
    • Journal of Global Scholars of Marketing Science
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    • v.19 no.3
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    • pp.28-36
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    • 2009
  • While existing literature has focused extensively on the strengths and weaknesses of the Chaebol and their ownership and governance, there have been few studies of Korean non-Chaebol firms. However, Lee, Lee and Pennings (2001) did not specifically investigate the competitive strategies that non-Chaebol firms use to survive against the Chaebol in the domestic Korean market. The motivation of this paper is to document, through four exploratory case studies, the successful competitive strategies of non-Chaebol Korean companies against the Chaebol and then offer some propositions that may be useful to other entrepreneurial firms as well as public policy makers. Competition and cooperation as conceptualized by product similarity and cooperative inter.firm relationship respectively, are major dimensions of firm.level marketing strategy. From these two dimensions, we develop the following $2{\times}2$ matrix, with 4 types of competitive strategies for non-Chaebol companies against the Chaebol (Fig. 1.). The non-Chaebol firm in Cell 1 has a "me-too" product for the low-end market while conceding the high-end market to a Chaebol. In Cell 2, the non-Chaebol firm partners with a Chaebol company, either as a supplier or complementor. In Cell 3, the non-Chaebol firm engages in direct competition with a Chaebol. In Cell 4, the non-Chaebol firm targets an unserved part of the market with an innovative product or service. The four selected cases such as E.Rae Electronics Industry Company (Co-exister), Intops (Supplier), Pantech (Competitor) and Humax (Niche Player) are analyzed to provide each strategy with richer insights. Following propositions are generated based upon our conceptual framework: Proposition 1: Non-Chaebol firms that have a cooperative relationship with a Chaebol will perform better than firms that do not. Proposition 1a; Co-existers will perform better than Competitors. Proposition 1b: Partners (suppliers or complementors) will perform better than Niche players. Proposition 2: Firms that have no product similarity with a Chaebol will perform better than firms that have product similarity. Proposition 2a: Partners (suppliers or complementors) will perform better than Co.existers. Proposition 2b: Niche players will perform better than Competitors. Proposition 3: Niche players should perform better than Co-existers. Proposition 4: Performance can be rank.ordered in descending order as Partners, Niche Players, Co.existers, Competitors. A team of experts was constituted to categorize each of these 216 non-Chaebol companies into one of the 4 cells in our typology. Simple Analysis of Variance (ANOVA) in SPSS statistical software was used to test our propositions. Overall findings are that it is better to have a cooperative relationship with a Chaebol and to offer products or services differentiated from a Chaebol. It is clear that the only profitable strategy, on average, to compete against the Chaebol is to be a partner (supplier or complementor). Competing head on with a Chaebol company is a costly strategy not likely to pay off for a non-Chaebol firm. Strategies to avoid head on competition with the Chaebol by serving niche markets with differentiated products or by serving the low-end of the market ignored by the Chaebol are better survival strategies. This paper illustrates that there are ways in which small and medium Korean non-Chaebol firms can thrive in a Chaebol environment, though not without risks. Using different combinations of competition and cooperation firms may choose particular positions along the product similarity and cooperative relationship dimensions to develop their competitive strategies-co-exister, competitor, partner, niche player. Based on our exploratory case-study analysis, partner seems to be the best strategy for non-Chaebol firms while competitor appears to be the most risky one. Niche players and co-existers have intermediate performance, though the former do better than the latter. It is often the case with managers of small and medium size companies that they tend to view market leaders, typically the Chaebol, with rather simplistic assumptions of either competition or collaboration. Consequently, many non-Chaebol firms turn out to be either passive collaborators or overwhelmed competitors of the Chaebol. In fact, competition and collaboration are not mutually exclusive, and can be pursued at the same time. As suggested in this paper, non-Chaebol firms can actively choose to compete and collaborate, depending on their environment, internal resources and capabilities.

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The Influence of Ring-Back-Tone(RBT) on Evaluation of the Phone-call Receiver's Personality II -a comparison study between unknown and known people as the receivers- (통화 연결 음악이 통화 상대자의 개성 판단에 끼치는 영향 II -통화상대자를 알고 있는 경우와 모르는 경우에 대한 비교를 중심으로-)

  • Jeong, Sang-Hoon;Suk, Hyeon-Jeong
    • Science of Emotion and Sensibility
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    • v.11 no.3
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    • pp.313-324
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    • 2008
  • The purpose of the study is to investigate the influence of Ring-Back-Tone(RBT) music on the evaluation of the phone-call receiver's personality in dimensions of Openness, Extroversion, and Neuroticism. In a preliminary test, the subjects listened to 17 RBT music stimuli in random order and assessed the personality associated with liking for each music(N=15). Among the 17 RBTs, three were selected to be used in Experiments I and II and they were distinguished from each other in terms of the three personality dimensions(p<0.001). In Experiment I, the subjects were divided into four groups and were asked to make a call to interview an unknown receiver(N=60). Different RBT music was installed depending on the group to which each subject belonged. It was found that different RBT influences the caller's evaluation of the receiver's personality, supporting Hypothesis 1(p<0.001). Moreover, the ratings of the receiver's were highly correlated with those of the RBT music stimuli in terms of Openness(r=0.722, p<0.001) and Extroversion(r=0.753, p<0.001). In Experiment II, an identical experiment design was applied for a new group of subjects who were acquainted with the receiver(N=40). It was hypothesized that previous knowledge about a person would weaken the RBT effect. The results showed that RBT exerted no effect on the evaluation of the receiver's personality when the caller knew the receiver. It was also found that 12 personality traits, where each of the three personality dimensions is described by four traits, facilitated assessment of the character of the RBT music as well as the personality of the receiver.

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An Intelligence Support System Research on KTX Rolling Stock Failure Using Case-based Reasoning and Text Mining (사례기반추론과 텍스트마이닝 기법을 활용한 KTX 차량고장 지능형 조치지원시스템 연구)

  • Lee, Hyung Il;Kim, Jong Woo
    • Journal of Intelligence and Information Systems
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    • v.26 no.1
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    • pp.47-73
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    • 2020
  • KTX rolling stocks are a system consisting of several machines, electrical devices, and components. The maintenance of the rolling stocks requires considerable expertise and experience of maintenance workers. In the event of a rolling stock failure, the knowledge and experience of the maintainer will result in a difference in the quality of the time and work to solve the problem. So, the resulting availability of the vehicle will vary. Although problem solving is generally based on fault manuals, experienced and skilled professionals can quickly diagnose and take actions by applying personal know-how. Since this knowledge exists in a tacit form, it is difficult to pass it on completely to a successor, and there have been studies that have developed a case-based rolling stock expert system to turn it into a data-driven one. Nonetheless, research on the most commonly used KTX rolling stock on the main-line or the development of a system that extracts text meanings and searches for similar cases is still lacking. Therefore, this study proposes an intelligence supporting system that provides an action guide for emerging failures by using the know-how of these rolling stocks maintenance experts as an example of problem solving. For this purpose, the case base was constructed by collecting the rolling stocks failure data generated from 2015 to 2017, and the integrated dictionary was constructed separately through the case base to include the essential terminology and failure codes in consideration of the specialty of the railway rolling stock sector. Based on a deployed case base, a new failure was retrieved from past cases and the top three most similar failure cases were extracted to propose the actual actions of these cases as a diagnostic guide. In this study, various dimensionality reduction measures were applied to calculate similarity by taking into account the meaningful relationship of failure details in order to compensate for the limitations of the method of searching cases by keyword matching in rolling stock failure expert system studies using case-based reasoning in the precedent case-based expert system studies, and their usefulness was verified through experiments. Among the various dimensionality reduction techniques, similar cases were retrieved by applying three algorithms: Non-negative Matrix Factorization(NMF), Latent Semantic Analysis(LSA), and Doc2Vec to extract the characteristics of the failure and measure the cosine distance between the vectors. The precision, recall, and F-measure methods were used to assess the performance of the proposed actions. To compare the performance of dimensionality reduction techniques, the analysis of variance confirmed that the performance differences of the five algorithms were statistically significant, with a comparison between the algorithm that randomly extracts failure cases with identical failure codes and the algorithm that applies cosine similarity directly based on words. In addition, optimal techniques were derived for practical application by verifying differences in performance depending on the number of dimensions for dimensionality reduction. The analysis showed that the performance of the cosine similarity was higher than that of the dimension using Non-negative Matrix Factorization(NMF) and Latent Semantic Analysis(LSA) and the performance of algorithm using Doc2Vec was the highest. Furthermore, in terms of dimensionality reduction techniques, the larger the number of dimensions at the appropriate level, the better the performance was found. Through this study, we confirmed the usefulness of effective methods of extracting characteristics of data and converting unstructured data when applying case-based reasoning based on which most of the attributes are texted in the special field of KTX rolling stock. Text mining is a trend where studies are being conducted for use in many areas, but studies using such text data are still lacking in an environment where there are a number of specialized terms and limited access to data, such as the one we want to use in this study. In this regard, it is significant that the study first presented an intelligent diagnostic system that suggested action by searching for a case by applying text mining techniques to extract the characteristics of the failure to complement keyword-based case searches. It is expected that this will provide implications as basic study for developing diagnostic systems that can be used immediately on the site.