• 제목/요약/키워드: managerial work

검색결과 206건 처리시간 0.027초

산부인과 의료소비자의 라이프스타일과 구전커뮤니케이션에 관한 연구 (DA Study on Word of Mouth Communication and Lifestyle of Obstetrics - Gynecology Health Care Consumers)

  • 정현자;정면숙
    • 간호행정학회지
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    • 제10권2호
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    • pp.195-210
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    • 2004
  • Purpose: The purpose of this study is 1): to investigate how word of mouth communications work according to the lifestyle of health care consumers of obstetrics and gynecology, 2): to propose managerial suggestions in health care marketing. Method: Data collection and analysis had been executed from March 10, 2003 to April 4, 2003. Out of total 400 questionnaires distributed, 385 were collected. 351 were considered to be valid for analysis. Data were analyzed with the SPSS/pc+ Version 10.0. using Frequencies, Factor analysis and cluster analysis, ANOVA and $x^2-test$. Results: The subjects were divided into four groups in terms of their lifestyles: 'health active group', 'health conscious group', 'health indifferent group', 'health inactive group'. The following are the features word of mouth communication according to lifestyle. Conclusion: All in all, the researcher carne to notice that there was a difference in the features of word of mouth communication activities in accordance with the lifestyle of health care consumers of obstetrics and gynecology. This study will hopefully contribute to the ramification of markets, serving as a help in marketing health services.

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통합적 휴먼에러 분석 모델을 이용한 자동차 유리공장의 사고 원인 분석 (Analysis of Accidents Causes in an Auto-Glass Manufacturing Company using the Comprehensive Human Error Analysis Model)

  • 임현교;이승훈
    • 한국안전학회지
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    • 제27권4호
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    • pp.90-95
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    • 2012
  • To prevent similar accidents with the basis of industrial accidents already occurred in industrial plants, it would be possible only after true causes are grasped. Unfortunately, however, most accident investigation carried out with the basis of legal regulation failed to grasp them so that similar accidents have been repeated without cease. This research aimed to find out differences between results from conventional accident investigation and those from human error analysis, and to draw out effective and practical counter-plans against industrial accidents occurred repeatedly in an autoglass manufacturing company. As for analysis, about 110 accident cases that occurred for last 7 years were collected, and by adopting the Comprehensive Human Error Analysis Technique developed by the previous researchers, not direct causes but basic fundamental causes that might induce workers to human errors were sought. In consequence, the result showed that facility factors or environmental factors such as improper layout, mistakes in engineering design, and malfunction of interlock system were authentic major accident causes as opposed to managerial factors such as personal carelessness or failure to wearing personal protective equipments, and/or improper work methods.

Dynamic Modeling of Building Services Projects: A Simulation Model for Real-Life Hospital Project

  • Abhishek, V.;Jagadeesh, P.
    • Journal of Construction Engineering and Project Management
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    • 제3권3호
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    • pp.35-41
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    • 2013
  • All infrastructure projects are said to be inter-dependent, uncertain and labour-intensive in nature. There is no exception for building services sub sector. For a real time project such as 'The construction, extension and refurbishment of Employees' State Insurance Corporation (ESIC) Hospital at Tirupathy, India with total area of 45,000 square feet at an estimated cost of 1100 million rupees, a generic process model is developed to simulate the effect of set of identified variables on construction project. The 'Stocks and Flows' of dynamic model affords relevant insights to project managers, who apply this knowledge when designing better performance through more appropriate project planning. It is concluded from the model-based approach that building services works can be improved through specific better focussed managerial efforts, such as an increasing coordination effectiveness at the planning stage, clarifying prerequisite conditions prior to installations. Otherwise, pending works arising from work clashes can lead to knock-on effects resulting in productivity constraints and pressures, as well as more rework and demolition. Current study reveals that the model enables deep insight into various interdependent processes, their by improving construction performance levels, by addressing the dynamics of design errors and defective works, and recovering delayed schedule.

ERP 시스템 구현성과에 영향을 미치는 요인 (Factors Affecting Implementation Performance in the Organizations Adopting ERP Systems)

  • 정철호;정영수
    • Journal of Information Technology Applications and Management
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    • 제16권4호
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    • pp.135-165
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    • 2009
  • The major purpose of this study is to identify the factors influencing the implementation performance of ERP Systems from an integrated viewpoint. For this purpose, a research model is developed based on the literature reviews of ERP systems, contingency theory, and change management theory. The research model proposed fifteen variables as the factors influencing the implementation performance in the ERP systems. The data have been collected from the 164 enterprises which implemented ERP systems at least one year ago. The respondents were person in charge of ERP system of each corporation. The results of hypothesis testing through multiple regression analysis are summarized as follows. Firstly, standardization of work, concentration of decision making, top management concern and support, real user participation, project support goodness, ease of use, and system usefulness have positive influence upon non-financial performance. Secondly, market uncertainty, industrial competition, project support goodness, and customization minimization have positive influence upon financial performance. From the analysis, this research have identified important characteristics for the successful implementation of ERP systems. Consequently, this research ends with managerial and theoretical implications of the study results, as well as limitations and future research directions.

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조직 상황을 고려한 DEA 기반의 벤치마킹 프레임워크 (A DEA-based Benchmarking Framework in terms of Organizational Context)

  • 설현주;임성묵;박광만
    • 품질경영학회지
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    • 제37권1호
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    • pp.1-9
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    • 2009
  • Data envelopment analysis(DEA) has proved to be powerful for benchmarking and has been widely used in a variety of settings since the advent of it. DEA can be used in identifying the best performing units to be benchmarked against as well as in providing actionable measure for improvement of a organization's performance. However, the selection of performance benchmarks is a matter of both technical production possibilities and organizational policy considerations, managerial preferences and external restrictions. In that regards, DEA has a limited value in benchmarking because it focuses on only technical production Possibilities. This research proposes a new perspective in using DEA and a frame-work for benchmarking to select benchmarks that are both feasible and desirable in terms of organizational context. To do this, the concept of local and global efficiency is newly proposed. To show how useful the suggested concept and framework are, a case study is addressed.

한국 기업의 해외 파견인 선발, 교육에 관한 연구 (Expatriate Selection & Training of Korean Firm)

  • 손성호
    • 한국컴퓨터정보학회지
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    • 제2권2호
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    • pp.83-100
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    • 1996
  • 본 논문은 한국 기업의 해외 자회사 관리자의 선발 및 교육, 훈련에 대한 실증 연구다. 선발등과 국제인사관리 실태에 영향을 끼치는 요인들을 비교문화적(cross-cultural), 경영 관리적(managerial), 개인적(personal), 배우자 및 가족(spous) 등의 관점에서 살펴본 결과 전반적으로 한국기업들은 선진다국적 기업과 유사한 점이 많은 것으로 나타났다. 또 이를 선발자와 피선발자간의 분석에서는 해외파견 경험자가 배우자와 문화적 요인의 더욱 중요하게 강조하며, 고급관리자는 의사결정, 기업이윤 관리능력에, 중하급 관리자는 개인적요인에 상대적 비중을 보이며, 선진국으로 파견보다 개도국으로 파견시 비교문화적, 개인적 요인을 중요시하는 것으로 나타났다. 끝으로 설문과 면담을 통하여 한국 기업들의 해외 파견인 교육 및 배우자, 가족교육 프로그램 그리고 파견중과 귀국 후의 훈련에 관해 조사한 결과 선진 다국적 기업에 비교하면 초보적 단계인 것으로 나타났다.

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Does the Fit of Managerial Ability with Firm Strategy Matters on Firm Performance

  • CHENG, Teng Yuan;LI, Yue-Qi;LIN, Yu-En;CHIH, Hsiang-Hsuan
    • The Journal of Asian Finance, Economics and Business
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    • 제7권4호
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    • pp.9-19
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    • 2020
  • The study aims to answer why the previous studies find the positive or insignificant effect of the CEO's abilities on firm performance. Using 34,285 CEO-firm-year panel data from the U.S. publicly traded firms drawn from the BoardEx and EXECUXOMP database during from 1992 to 2014, the results show that the fit of the CEO's generality or specialist ability with firm strategy matters on firm performance and risk. This study computes a discrete STRATEGY composite measure to construct firm strategy types, such as Prospect or Defend and use CEOs' résumés to construct an index of general skills that are transferable across firms and industries. The results find that generalist CEOs are more suitable for prospectors than specialist CEOs. Firm performance is much better when specialist CEOs work for Defenders. Although the firm performance is better too for the generalist CEOs who fit for the Prospect strategy, the firm's risk is up too. The result suggests that firms need to consider their chosen business strategy to recruit and select CEOs Our findings provide direct evidence that the match between CEO's ability and the firm's strategy is crucial to firm performance and risk.

제조업에서의 산업재해 예방을 위한 전문가 시스템 개발 (Development of an Expert System for Prevention of Industrial Accidents in Manufacturing Industries)

  • 임영문;최요한
    • 대한안전경영과학회지
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    • 제8권1호
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    • pp.53-64
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    • 2006
  • Many researches and analyses have been focused on industrial accidents in order to predict and reduce them. As a similar endeavor, this paper is to develop an expert system for prevention of industrial accidents. Although various previous studies have been performed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. As an initial step for the purpose of this study, this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and Answer Tree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work was chosen from 10,536 data related to manufacturing industries during three years$(2002\sim2004)$ in korea. The initial sample includes a range of different businesses including the construction and manufacturing industries, which are typically vulnerable to industrial accidents.

The factors influencing consumers' perceived complexity of online apparel mass customization service usage

  • Moon, Heekang;Lee, Hyun-Hwa;Chang, Eunyoung
    • 복식문화연구
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    • 제21권2호
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    • pp.272-286
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    • 2013
  • Mass customization is a marketing strategy to meet consumer needs for variation and uniqueness of products. Although there are quite a few studies quantitatively investigated the options provided by mass customization process, scholarly work related to mass customization has provided mixed results on consumer perception of complexity and their responses. The purpose of the study is to derive the factors that influence consumer complexity perception in online apparel mass customization process and consumers' needs to enhance mass customization services. Data were collected by conducting focus group interviews of which 29 participations in 4 groups. The results of the study suggested that consumers perceived complexity through mass customization process due to too many choice options. However, the effect of number of options on respondents' complexity perception was different depending on consumer characteristics such as consumer expertise and fashion involvement, and the characteristics of consumer preference development. Shopping context such as shopping purpose is another moderating factor. This study also suggests that a variety of marketing strategies which can enhance mass customization services affect the relationship between the number of options and consumers' complexity perception. The findings of the study provide academic and managerial implications.

건설업의 산업재해 특성분석을 위한 의사결정나무 기법의 상용 최적 알고리즘 선정 (Selection of an Optimal Algorithm among Decision Tree Techniques for Feature Analysis of Industrial Accidents in Construction Industries)

  • 임영문;최요한
    • 대한안전경영과학회지
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    • 제7권5호
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    • pp.1-8
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    • 2005
  • The consequences of rapid industrial advancement, diversified types of business and unexpected industrial accidents have caused a lot of damage to many unspecified persons both in a human way and a material way Although various previous studies have been analyzed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. The main objective of this study is to find an optimal algorithm for data analysis of industrial accidents and this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and AnswerTree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work chosen from 19,574 data related to construction industries during three years ($2002\sim2004$) in Korea.