• Proceedings of the Korea Society for Industrial Systems Conference
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• 1998.10a
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• pp.563-568
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• 1998

응용시스템 개발생산성에 대한 연구는 지금까지 프로그래머의 생산성이라는 미시적 수준에 그치는 경향을 보여왔으며 시스템개발 생명주기의 전반적 영향에 중점을 둔 거시적수준의 생산성의 개념으로 확대되지 못해왔다. 더욱이 그들의 생산성 측정은 미시적 측정단위를 사용함으로써 조직 내 응용시스템 개발요구의 백로그의 증가라는 거시적 문제 해결과는 거리가 있어왔다. 본 연구는 정보시스템 조직의 생산성 향상에 기여할 수 있는 도구 및 방법이 실무적으로 어떻게 사용되고 있고 그 효과가 어느 정도인지를 관찰하는 탐색적 연구로써 응용 시스템 개발 생산성에 기술적 방법과 관리적 방법을 거시적 생산성 향상의 관점에서 분석하고자 한다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.422-426
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• 2006

Productivity is one of the very important index that measures efficiency of production activities in industry, enterprises and the building industry as well. None the less, the concept of construction productivity is not so clear that productivity management in the building industry have been performed by experience or intuition, productivity related data have not been analyzed through effective productivity management, because structured definition and classification of factors influencing construction productivity did not exist so that it has not been known what information explain each of them. In order to solve this problem, at first construction productivity and factors influencing construction productivity are defined and classified into three groups; (1)Project factors influencing construction productivity (2)Management factors influencing construction productivity (3)Activity factors influencing construction productivity. To find out relation between construction productivity and factors influencing construction productivity, a questionnaire survey for construction managers in the building industry has been conducted.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.1
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• pp.49-57
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• 2006

In order to strengthen the competitiveness of port against calling for the huge vessel and reducing the shipping service time, the productivity of container terminal must be improved. This productivity variously results according to the kinds of productivity evaluation model, input elements like yard, equipment, employee, facility, etc,. But, it is discussed that the productivity is measured by partial productivity evaluation model or general input elements. Therefore, we measured for the productivity of the container terminal using the Developed the data Envelopment Analysis (DEA), which is developed in order to evaluate the relative efficiency of decision making units - it's difficult to clear cause and effect between input and output. We measured the whole productivity of container terminal in Busan according to decision of the correct input elements. And we investigated the change of the productivity measurement result according to input elements, presents more accurate productivity evaluation model in container terminal.

• Annual Conference on Human and Language Technology
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• 1995.10a
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• pp.282-289
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• 1995

이 연구는 지금까지 국어 형태론에서 사용되지 않았던, 코퍼스를 이용한 계량적인 방법으로 파생어의 생산성 정도를 측정하고, 그 결과로 국어 파생 형태론에서의 생산성을 기술한 것이다. 각각의 접사들의 생산성 정도에 대한 수치를 제시함으로써 좀 더 정확하게 상대적인 생산성 비교를 할 수 있도록 하였다. 접사의 생산성 정도 측정방법은 Baayen(1989)에서 제시한 것으로, 특정접사를 가지고 코퍼스에 단 한번 출현하는 단어의 수($n_1$)와, 주어진 접사를 가지고 코퍼스에 나오는 단어의 총수(N)의 비율로 접사의 생산성 정도를 측정한다($P=n_1/N$). 200만 어절 및 1000만 어절 코퍼스를 기반으로 국어의 대표적인 파생접미사들 중 명사파생 접미사 '-이', '-음', '-기', 형용사파생 접미사 '-스럽-', '-롭-', '답-', 동사파생 접미사 '-거리-', '-대-', '-이-'의 생산성 정도를 측정하였다. 본 연구에서 채택한 코퍼스를 이용한 언어 연구 방법은 기존의 사전을 이용하여 파생어의 생산성을 측정하는 것에 비해 앞선 것이라 할 수 있다.

• Journal of the Korean Society for information Management
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• v.16 no.3
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• pp.137-158
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• 1999

This research dealt with author production, subject production, university production, core of the majoring subject production, the multi-authors production, authors majoring in their fields production, languages and periods production for the purpose of clarifying the general research pattern of us by using the method of content analysis of 767 items of monographic which have been published in Korea between 1957 and 1997. This study was done to apprehend the general research pattern of Library and Information Science.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.548-553
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• 2006

Activity-based productivity data can be used as an significant reference in many areas of project management such as performance evaluation and project planning. However, the existence of various factors influencing construction productivity makes it difficult to collect and analyze the productivity data. In the most of the domestic construction sites, there is no systematic method to collect and analyze the productivity data along with information on influencing factors; it is common to heavily rely on experience and intuition of field managers when dealing with construction productivity data. Therefore it is necessary to develop a management system for collecting and utilizing the productivity data as well as the factors influencing construction productivity. The main objective of this research is to define the construction productivity and its influencing factors at the activity level. In addition, methodologies on how to analyze the productivity data and to estimate productivity of future projects are proposed.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.3-12
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• 2022

In general construction project planning ratio of manpower and quantity of outputs produced, such as the construction estimate standard, is used as the criterion for labor productivity. This method is highly effective in construction projects with repetitive work, however, there is a limit to apply in large-scale projects with high complexity. This is because the influence of non-work time caused by various work interruption factors that act complexly on the productivity of the project is greater than the average labor productivity derived from the performance data of the project. Therefore, this study proposes a productivity measurement method that can evaluate the characteristics of construction works and the cause of non-working time. To this end, first, detailed work processes and their non-work factors for each work type are defined, and the Adv-FMR technique is developed for quantitatively measuring them. Next, based on the concept of obtainable productivity, methods for comparative productivity analysis by work type, evaluating non-work factors, and deriving productivity improvement methods are proposed. Finally, a case study is conducted to validate that the analysis results based on Adv-FMR data can support the decision-making of construction managers on productivity management.

• Korean Journal of Construction Engineering and Management
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• v.21 no.1
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• pp.99-110
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• 2020

Productivity is also a very important indicator in the construction industry as it can measure economic growth and the efficiency of each related production activity, either at the industrial level or at the corporate level. Technical factors indeed have a great impact on productivity, but in order to improve productivity in the actual construction industry, various productivity factors must be analyzed first, and the efforts to improve productivity at the project level are more important than the efforts to improve productivity at the construction industry level, which are addressed from a macro perspective. This study was designed to provide basic data for efficient productivity management activities of the project by selecting priority management factors through the causal analysis of the factors and the elicitation of the productivity degradation factors at the construction site to improve the quality of the construction industry.

• The Korean Journal of Financial Management
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• v.20 no.2
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• pp.263-291
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• 2003

The purpose of this paper is to analyse the change in the productivity of Korean life insurance industry by Generalized Malmquist productivity indices. Generalized Malmquist indices will be decomposed into three components such as pure efficiency change, scale efficiency change, and technical change. The principal findings indicate an overall increase in productivity driven more by technical progress than pure technical efficiency and scale efficiency.

• International Area Studies Review
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• v.22 no.1
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• pp.41-60
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• 2018

It is widely known that the increased productivity lead to a decrease in energy consumption. The policy for reducing energy consumption is also focusing on the improvement of firm's productivity. However, the issue of productivity dilemma phenomenon is recently raised in various fields. It is phenomenon that the increased productivity rather lead to a increased in energy consumption through a rise in output. This paper analyzed the presence of productivity dilemma in korean firm using Tang et al(2015)'s theoretical model. To closely analyze, I performed the analysis using 715 firms during 2011-2015 and estimated the model using system GMM to minimize the endogeneity. The results show that total effect of productivity had a significantly negative coefficient. It is implies that the increased productivity doesn't increase energy consumption. In other word, this paper could not identified productivity dilemma and so did in overseas investment firm and national firm cases.