• Title/Summary/Keyword: Business Knowledge

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Implications of Managing Chronic Obstructive Pulmonary Disease in Cardiovascular Diseases

  • Deshmukh, Kartik;Khanna, Arjun
    • Tuberculosis and Respiratory Diseases
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    • v.84 no.1
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    • pp.35-45
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    • 2021
  • Globally, cardiovascular diseases and chronic obstructive pulmonary disease (COPD) are the leading causes of the non-communicable disease burden. Overlapping symptoms such as breathing difficulty and fatigue, with a lack of awareness about COPD among physicians, are key reasons for under-diagnosis and resulting sub-optimal care relative to COPD. Much has been published in the past on the pathogenesis and implications of cardiovascular comorbidities in COPD. However, a comprehensive review of the prevalence and impact of COPD management in commonly encountered cardiac diseases is lacking. The purpose of this study was to summarize the current knowledge regarding the prevalence of COPD in heart failure, ischemic heart disease, and atrial fibrillation. We also discuss the real-life clinical presentation and practical implications of managing COPD in cardiac diseases. We searched PubMed, Scopus, EMBASE, and Google Scholar for studies published 1981-May 2020 reporting the prevalence of COPD in the three specified cardiac diseases. COPD has high prevalence in heart failure, atrial fibrillation, and ischemic heart disease. Despite this, COPD remains under-diagnosed and under-managed in the majority of patients with cardiac diseases. The clinical implications of the diagnosis of COPD in cardiac disease includes the recognition of hyperinflation (a treatable trait), implementation of acute exacerbations of COPD (AECOPD) prevention strategies, and reducing the risk of overuse of diuretics. The pharmacological agents for the management of COPD have shown a beneficial effect on cardiac functions and mortality. The appropriate management of COPD improves the cardiovascular outcomes by reducing hyperinflation and preventing AECOPD, thus reducing the risk of mortality, improving exercise tolerance, and quality of life.

Satisfaction with Development Direction of Local Culture and Arts through the PCSI Model: Focused on Daegu Music City

  • Lee, Sea-Bom;Lee, Chi-Woo;Moon, Jae-Young
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.11
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    • pp.255-261
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    • 2021
  • In Korea, there are a total of 8 creative cities selected by UNESCO in 7 fields. UNESCO creative city refers to a network of creative cities with international level of experience, knowledge, and expertise in the field of culture and arts. Based on the PCSI 2.0 model, this study conducted a satisfaction survey of experts on Daegu's Creative City. Variables were composed of service quality, social responsibility, inconsistency, satisfaction and performance, and service quality was measured by dividing it into three categories: content quality, delivery quality, and environmental quality. Therefore, this study verified that the three types of quality, social responsibility, and inconsistency affect satisfaction, and that satisfaction affects performance. As a result of the study, it was found that the three service quality did not directly affect satisfaction, but rather affected satisfaction through inconsistency. So, 3 out of 10 hypotheses were rejected.

Research on the type of technology convergence in the medical device industry based on topic modeling and citation analysis (토픽모델링과 인용 분석에 기반한 의료기기 산업의 기술융합 유형 연구)

  • Lee, Seonjae;Lee, Sungjoo;Seol, Hyeonju
    • Journal of the Korea Convergence Society
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    • v.12 no.7
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    • pp.207-220
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    • 2021
  • Industrial convergence is manifested in various forms by various drivers, and understanding and categorizing the direction of convergence according to the factors in which the convergence occurs is an essential requirement for the establishment of a company's customized convergence strategy and the government's corporate support policy. In this study, the type of convergence is analyzed from the perspective of knowledge flow between heterogeneous technologies, and for this purpose, the result of topic modeling of the text information of the patent and the citation information of the corresponding patent allocated for each topic are used. The methodology presented through case studies in the medical device field is verified. Through the proposed methodology, companies can predict the flow of convergence and use it as decision-making data to create new business opportunities. It is expected that the government and research institutions will be usefully used as basic data for policy preparation.

Core Competence Evaluation Model of Play Worker Based on Delphi Technique (델파이 조사를 통한 놀이 전문가 핵심역량 분석)

  • Park, Hye-Jin;Kim, Yong-Young
    • Journal of Convergence for Information Technology
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    • v.9 no.2
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    • pp.100-107
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    • 2019
  • The purpose of this study is to develop an evaluation model to measure the core competences of actual play workers by exploring what competences are necessary for them to provide quality play. Based on literature review, we selected five core competences : knowledge of play, program development, understanding play culture, creativity, and information sharing & applying. In order to achieve the research purpose end, a two-round Delphi survey was conducted on 10 play and education experts. The findings drew scholarly consensus on the competences of play workers to have and proposed basic data by developing competences evaluation model to measure them. Each of the key competences has three sub-conpetences, each of which included two behavior elements. Furthermore, this study presented future research directions so that play can be voluntarily planned and supported in a social and cultural context.

Competitiveness Index of Regional Economy and the Characteristics of Regional Growth in Knowledge Economy: The Case of SCI(State Competitiveness Index) (지식기반경제에 있어 지역경제의 경쟁력 지표와 지역성장의 특성: 미국의 SCI사례를 중심으로)

  • Na, Ju Mong
    • International Area Studies Review
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    • v.15 no.3
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    • pp.285-306
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    • 2011
  • This paper analyzed the effects the regional competitiveness index on the characteristics of the regional growth. This study divides the regions in the US based on the static and dynamic standard of income for the characteristics of the regional growth. The results of the analysis are as follows. First some regions such as Alaska, Connecticut, Maryland, Massachusetts, Virginia, Washington and Wyoming have higher levels of SCI and both the rate of growth and per capita income than the national average. These are considered prosperous regions based on their high level of SCI. Second, in regards to the relation between the income level and regional competitiveness index for the regional growth, the variables such as human resource, science technology, business incubation, openness, safety and environmental policy are significant. Third, infrastructure, human resource, science technology and openness are the significant variables concerning the relation between the rate of income growth and regional competitiveness index for the regional growth.

Topic and Survey Methodological Trends in 'The Journal of Information Systems' ('정보시스템연구'의 연구주제와 서베이 방법론 동향분석)

  • Ryoo, Sung-Yul;Park, Sang-Cheol
    • The Journal of Information Systems
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    • v.27 no.4
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    • pp.1-33
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    • 2018
  • Purpose The purpose of this study is to review topic and survey methodological trends in 'The Journal of Information Systems' in order to present the practical guidelines for the future IS research. By attempting to conduct a meta-analysis on both topic and survey methodological trends, this study could provide researchers wishing to pursue this line of work further with what can be done to improve IS disciplines. Design/methodology/approach In this study, we have reviewed 185 papers that were published in 'The Journal of Information Systems' from 2010 to 2018 and classified them based on topics studied and survey methodologies used. The classification guidelines, which was developed by Palvia et al.(2015), has been used to capture the topic trends. We have also employed Struab et al.(2004)s' guidelines for securing rigor of validation issues. By using two guidelines, this study could also present topic and rigor trends in 'The Journal of Information Systems' and compare them to those trends in International Journals. Findings Our findings have identified dominant research topics in 'The Journal of Information Systems'; 1) social media and social computing, 2) IS usage and adoption, 3) mobile computing, 4) electronic commerce/business, 5) security and privacy, 6) supply chain management, 7) innovation, 8) knowledge management, and 9) IS management and planning. This study also could offer researchers who pursue this line of work further practical guidelines on mandatory (convergent and discriminant validity, reliability, and statistical conclusion validity), highly recommended (common method bias testing), and optional validations (measurement invariance testing for subgroup analysis, bootstrapping methods for testing mediating effects).

A Study on Development of SMEs Start-up Consulting Course by Convergence subject STEAM (융합인재교육(STEAM)에 의한 융복합 교과목 중소기업 창업컨설팅 개발)

  • Yim, Heon-Wook
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.381-387
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    • 2018
  • The purpose of this study is to make a lot of efforts for student employment in government or university. therefore We have developed Start-up Consulting courses that include easy to find jobs, convergence and multidisciplinary knowledge. The results of the comparison between university and graduate school, management consulting, and start-up consulting curriculum were reviewed according to STEAM 's rules. The results were divided into 5 main classes and 15 sub classes according to the 15 week subject. As a result of the study, we divided into 5 main classes and 15 sub classes in accordance with the 15 week subject. We were able to apply the understanding to the 1st stage company understanding(Arts), 2 stage consulting ability(Technology) 3 stage entrepreneurship strategy(Technology) 4 stage sub consulting(STEAM) 5 stage management case analysis(Arts).

Analysis of dental hygienists' perception of knowledge and attitude toward digital oral scanner (디지털 구강스캐너에 대한 치과위생사의 지식과 태도에 관한 인식도 분석)

  • Lee, Cheon-Hee;Ahn, Sun-Ha
    • Journal of Korean society of Dental Hygiene
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    • v.19 no.1
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    • pp.33-44
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    • 2019
  • Objectives: To investigate how dental hygienists who have never used a digital oral scanner perceive the impression acquisition and evidence needed for prosthesis planning by using a digital oral scanner. Methods: From July 1, 2017 to December 31, 2017, subjects from Daegu, Gyeongsangbuk-do, Korea, were selected. The purpose of the study was described to dental hygienists who had never used a digital intraoral scanner. Questionnaires were distributed to the students selected. Of the 137 questionnaires distributed, 93 were used in the analysis after excluding 44 completed questionnaires that had errors or missing answers. Results: Of the respondents, 33.7% (36/93) were aged ${\geq}30$ years, 68.8% graduated from a 3-year vocational college course, 33.5% were aged ${\geq}33$ years, and 61.3%. At present, our center has the largest number of clinics (92.5%). The difficulty of impression taking using the digital oral scanner significantly differed (p<0.05) according to age and current occupation (p<0.05). Impression taking using a digital oral scanner significantly affected the present workflow of dental hygienists and their interest in sharing information about future use of digital oral scanner (p<0.01). Conclusions: If more routes are available to access digital intraoral scanners and more systems are developed for clinical use, the digital intraoral scanner could become digitized in the dental system; thereby, the existing impressions could be replaced with digitized impressions. With digital intraoral scanners, the expansion of the business of dental hygiene can be expected.

A Study on the Influence of Celebrities on the Purchase of Books (유명인이 집필한 책 구매에 미치는 영향에 관한 연구)

  • Lee, Ji-Hun
    • Journal of Industrial Convergence
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    • v.16 no.2
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    • pp.41-48
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    • 2018
  • The purpose of this study is to identify the effects of book content, celebrity recognition, and celebrity expertise on book purchasing, and to suggest implications for the marketing factors for sales and the factors to consider when publishing celebrity books . The implications of this study are as follows. First, when a celebrity publishes a book, it should actively promote marketing activities that can give credibility to the reader and to the credibility of the information about the book field that he usually compiles. Second, when a book is compiled, celebrities should pay attention to book designs and pictures that fit their images. In addition, it is necessary to build a new type of advertising strategy will be. Finally, celebrities should ask for various means to inform viewers and pens of their information, experiences, and learned knowledge in various advertising environments before publishing the book. If you continue to recognize it, your future purchases of books will increase.

Bigdata Prediction Support Service for Citizen Data Scientists (시민 데이터과학자를 위한 빅데이터 예측 지원 서비스)

  • Chang, Jae-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.2
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    • pp.151-159
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    • 2019
  • As the era of big data, which is the foundation of the fourth industry, has come, most related industries are developing related solutions focusing on the technologies of data storage, statistical analysis and visualization. However, for the diffusion of bigdata technology, it is necessary to develop the prediction analysis technologies using artificial intelligence. But these advanced technologies are only possible by some experts now called data scientists. For big data-related industries to develop, a non-expert, called a citizen data scientist, should be able to easily access the big data analysis process at low cost because they have insight into their own data. In this paper, we propose a system for analyzing bigdata and building business models with the support of easy-to-use analysis system without knowledge of high-level data science. We also define the necessary components and environment for the prediction analysis system and present the overall service plan.