• The Journal of Information Technology and Database
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• v.5 no.1
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• pp.39-50
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• 1998

응용시스템 개발생산성에 대한 연구는 지금까지 프로그래머의 생산성이라는 미시적 수준에 그치는 경향을 보여왔으며 시스템개발 생명주기의 전반적 영향에 중점을 둔 거시적 수준의 생산성의 개념으로 확대되지 못해왔다. 본 연구에서는 거시적 수준의 응용시스템 개발생산성에 초점을 맞추어 생산성 측정치들을 검토하고 또 다양한 생산성 향상 방법을 비교하는데 그 목적이 있다. 응용시스뎀 개발 백로그가 Nolan의 정보시스템의 확장 단계에 구분없이, 또한 기타의 컴퓨팅 활동들로 특징지워지는 다양한 정보기술 환경을 가진 조직들 내에서 널리 퍼져 있는 것으로 본 연구결과에 나타났다. 또한 본 연구 결과는 '거시적/관리적 차원의 접근이 응용시스템 개발생산성 향상을 통한 개발 백로그의 감소에 긍정적인 영향을 미칠 것이다' 라는 일차적 가설을 지지하는 것으로 나타났다. 오늘날의 정보시스템 관리자들은 생산성 향상을 위하여 미시적/기술적 차원의 접근방법에 주력하는 경향을 보이고 있으나, 본 연구를 통하여 거시적/관리적 차원의 접근방법과 도구의 사용에 더 많은 노력을 기울임으로써 균형잡힌 정보관리정책을 갖게 되기를 바란다.

• Korean Journal of Construction Engineering and Management
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• v.21 no.2
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• pp.15-21
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• 2020

The relationship between keywords, found in all productivity related papers published in the KSCE journal for last 15 years, were analyzed in order to reveal a research trend in the area using text mining and A-Priori algorithm. As the results, it is found that the word of 'productivity' is most closely related to the words of 'work' and 'labor'. Futhermore, the word is somewhat related to those of 'factor', 'model', simulation', and 'work time'. It is also revealed that, on the other hand, the words of 'machine' and 'equipment' have little relationships with the keyword. This research will be a great help for academia to understand a research trend in the area of construction productivity.

• KDI Journal of Economic Policy
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• v.36 no.1
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• pp.1-42
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• 2014

This study analyzes how heterogeneous across firms' productivity level the effects of foreign direct investment (FDI) on the productivity of firms in a host country are. The study uses firm level data over 2000~2009 in South Korea and takes a quantile regression approach to estimate FDI's heterogeneous effects on the invested firm ('direct effects') and other domestic firms in the industry to which the invested firm belongs ('intra-industry spillover effects'). Major empirical results are as follows. In manufacturing sector, FDI has positive and statistically significant direct effects on the invested firm. In addition, the higher the quantiles of firms' productivity level are, the larger the positive productivity effects are. FDI also has positive and statistically significant intra-industry spillover effects on domestic firms in low quantiles of productivity while it has negative and statistically significant or insignificant spillover effects on those in high productivity quantiles. In service sector, on the other hand, Sufficient evidence is not found that FDI has statistically significant direct effects or intra-industry spillover effects. Taken together, the study suggests that FDI has heterogeneous effects on the productivity of firms in host country, depending on the firms' productivity level and sector.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.3-12
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• 2019

Despite the importance and function of productivity information, in the Korean construction industry, the method of collecting and analyzing productivity data has not been organized. Also, in most cases, productivity management is reliant on the experience and intuitions of field managers, and productivity data are rarely being utilized in planning and management. Accordingly, this study intends to develop a prediction model for interior finishes of apartment using deep learning techniques, so as to provide a foundation for analyzing the productivity impacting factors and predicting productivity. The result of the study, productivity prediction model for interior finishes of apartment using deep learning techniques, can be a basic module of apartment project management system by applying deep learning to reliable productivity data and developing as data is accumulated in the future. It can also be used in project engineering processes such as estimating work, calculating work days for process planning, and calculating input labor based on productivity data from similar projects in the past. Further, when productivity diverging from predicted productivity is discovered during construction, it is expected that it will be possible to analyze the cause(s) thereof and implement prompt response and preventive measures.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.21-32
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• 2023

The domestic automobile industry is growing due to favourable government policies and changing technological innovations. As the automobile industry becomes more active, the role of dedicated docks facilitating automobile exports is also becoming prominent which can be identified as a sector still requiring comprehensive research. Accordingly, a case analysis of domestic automobile port productivity was conducted using empirical data collected from Korean automobile ports to compare and analyze their productivity and to present implications based on the findings. In the case of productivity analysis, facility, labor, working time, and cost productivity were calculated from (the beginning of) 2021 to the second quarter of 2022. The results of the analysis revealed the port D to achieve the highest productivity during the study period, followed by the ports B, C, and A, respectively. Based on the current situation of each automobile dock revealed through the results, strategies for future development is derived.

• Proceedings of the Korea Association of Information Systems Conference
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• 1997.10a
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• pp.379-388
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• 1997

새로운 소프트웨어를 개발할 때에 이미 개발되어진 소프트웨어를 재사용 함으로써 얻을 수 있는 장점은 많다. 그 중에서 이미 검증된 소프트웨어를 사용함으로써, 오류가 감 소됨에 따라 고품질의 소프트웨어를 생산할 수 있고, 소프트웨어의 개발비용을 생산성을 향 상시킬 수 있다. 본 논문에서는 소프트웨어를 재사용 함으로써 소프트웨어 개발 시에 사용 되는 비용과 생산성을 상대 비교해서, 소프트웨어 개발에 소요되는 비용과 생산성의 관계를 나타내는 새로운 모형과 예를 제시하고 있다. 또한 소프트웨어 재사용시에 개발기관과 총인 월에 대한 생산성을 COCOMO 모형을 사용해 규명하고 있다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.95-100
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• 2004

본 논문은 도로 건설 공사 프로젝트들의 전 공정에 걸쳐 수행되는 모든 작업들을 대상으로 총 프로젝트 생산성 (Total Project Productivity)을 측정하고 분석하기 위한 방법을 소개한다. 측정 방법의 주안점은 복합적으로 병행되는 작업들의 생산량을 통합하여, 프로젝트 전체에 대한 포괄적인 생산성 값들을 구하는 방법을 개발하는데 두고 있다. 이 방법을 통해 Florida Department of Transportation (FDOT)로부터 발주된 세 개의 실제 고속도로 건설 공사 프로젝트들로부터 수천 개의 총 프로젝트 생산성 데이터 값들이 얻어졌으며. 이를 바탕으로 프로젝트 생산성을 분석하기 위한 방법의 타당성 검증이 이루어졌다. 그 결과로, 프로젝트 레벨에서의 총 생산성은 건설 작업들에 관한 현장 자료를 바탕으로 측정과 분석이 이루어질 수 있음이 입증되었다.

• Korean Journal of Construction Engineering and Management
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• v.9 no.6
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• pp.156-163
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• 2008

Recently, Construction market is contracted by economic slump and regulation. As the solution of this plan, construction productivity is gathering strength. However, the study on the productivity in construction section is insufficient until now. Construction section has many factor about productivity. The point of this study, we analysis the factor of construction productivity improvement and relationship with system thinking. And we show the strategy of construction productivity improvement.

• Journal of Korean Society of Transportation
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• v.23 no.5 s.83
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• pp.15-25
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• 2005

Using a stochastic cost frontier approach(SCFA), this paper annually estimates the efficiency and productivity with same data in the papers which analyze the efficiency and productivity using data envelopment analysis(DEA) to compare the results and suggest the political findings of raising the efficiency and productivity for three publicly-owned rail transit properties. the Seoul Subway Corporation (SSC), the Seoul Metropolitan Electrified Railways Sector of Korea National Railroad (SMESRS) and the Busan Urban Transit Authority (BUTA). The results show that the results of SCFA are higher than DEA for efficiency and lower for productivity in that DEA regards the stochastic error and measurement error as the inefficiency contrary to SFCA. But the political findings from these results appears to be similar as follows. First, the productivity of the three properties should be first improved by using existing technologies efficiently and then by introducing new ones. Second, the three properties should improve the technical efficiency through reducing input quantities to raise their efficiency. Finally, all the three components of the productivity such as productive efficiency change, technical change, and scale change should be considered to evaluate their productivity more correctly.

• Journal of the Economic Geographical Society of Korea
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• v.9 no.2
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• pp.181-196
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• 2006

This study analyzed the inter-regional productivity performance of Southeast region of Korea, namely, Busan, Daegu, Ulsan, Gyeongbuk, and Gyeongnam for 16 service sectors, which are categorized by two groups, knowledge based service (5 sectors) and non-knowledge based one (11 sectors) for the period of 1997-2004. This study applied the method of Malmquist productivity change index(MPI) to the estimation of spatial productivity. According to the estimation results, firstly, the MPI of service sector has been deteriorated by annually 0.1% on average. However, when we divided the period into 1997-2000 and 2001-2004, the productivity performances of the second period was better than that of the first period, which are the same trend in knowledge based and non-knowledge based service sectors. Secondly, comparing productivity performances by region and sector during the whole period, Daegu has seven sectors which are relatively comparative advantage. and Ulsan and Busan have six and five sectors, respectively, which are relatively comparative advantage.