• Journal of the Korean Society for Library and Information Science
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• v.24
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• pp.53-71
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• 1993

In 1926, Alfred Lotka examined the frequency distribution of scientific productivity of chemists and physicists. He observed that the number of persons making n contributions is about $1/ n^2$ of those making one and the proportion of all contributions that make a single contribution is about $60\%$. Investigator studing the applicability of 'Lotka's Law' to Mathematics and to Mechanical engineers have fitted Lotka's Law and concluded that the law applied to these subject fields.

• IE interfaces
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• v.12 no.2
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• pp.329-336
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• 1999

Job efficiency and productivity of a manufacturing system with frequent job schedule changes are affected by performance of information system between job order planners anti manufacturing device operators. This paper describes implementation of concurrent information system which can active identify machine status and dispatch job orders to operators in a machine shop. Client and server environment for various machinery is implemented using OSI based network between shop floor control system and manufacturing devices. Portability and scalability are among many characteristics of the implemented system. The developed client and server system is expected to realize high productivity for manufacturing device.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.375-378
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• 2002

Most construction works in a building site are progressed by many work categories and sub-contractors. Therefore there are many difficult things of management of construction-information because variable occurrences are happened to manpower and material resources. For this reason, various management systems are suggested, but the application of these systems are difficult because only construction company manages these systems and sub-contractor's participation, understanding and financial ability are insufficient. In addition to that, there are other problems such as lost information when it is carried, perversion and distrust of information by hand and lots of time and labor are necessary for collection, analysis, and management of information which are offered for daily report. so the purpose of this study is for improvement of reporting process with making an analysis of productivity effects and an analysis of function and problem of daily report. I intend to suggest the direction of improved daily report system for better productivity of construction work through input information and management of cooperation enterprises.

• Management & Information Systems Review
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• v.17
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• pp.67-81
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• 2005

Harbor function has been changed into physical distribution position harbor system for providing most suitable physical distribution service with comprehensive rationalization of international physical distribution over simple loading unloading, and change function by far. Thus, to change our country into advanced economy, the factor of growth obstacles was to be eliminated, or it is so important that the physical distribution base establishment enlarges to improve potential productivity. That is, self effort is needed for physical distribution competition system, adjustable arrangement of physical distribution area, the establishment of comprehensive informations system, physical distribution rationalization. Also, to enforce harbor productivity, harbor should be developed systemically to able to function of comprehensive harbor for enlargement of harbor establishment, the device of advanced harbor function height, the linkage between and city program, harbor operation or investment system provement, harbor technique or international cooperation advancement.

• Asia pacific journal of information systems
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• v.2 no.2
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• pp.15-30
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• 1992

Computer-Aided Software Engineering or CASE is the technology for automating the software development and maintenance process. Many firms are turning to CASE in hopes of realizing improvement in productivity and system quality. Although expenditures on CASE were reported to be rapidly rising, the performance gains have been very difficult to measure. The empirical results in this article are intended to provide some evidence about (1) the major objective of using CASE, (2) the gains from CASE, (3) the difference in productivity among CASE tools. They are based on an analysis of data collected from 61 software engineers from five corporations who have the experience of using CASE.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.831-862
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• 2023

The rapid adoption of smartphones and tablets among employees has recently forced organizations to proactively embrace bring your own device (BYOD). The situation of COVID-19 makes the concept of BYOD even paramount. Allowing employees to bring their own mobile devices to the workplace has helped companies realize productivity gains and cost benefits. However, BYOD has also blurred the boundaries between work and personal life, thereby creating a stressful environment for employees (Doargajudbur and Hosanoo, 2023). This study explores the relationships between several BYOD attributes and investigates the effects of these attributes on work-to-life conflict. It contributes by introducing workplace connectivity after hours as a new dimension of BYOD attribute to influence work-to-life conflict. Based on boundary theory, a theoretical model is developed and tested with an online survey. The results reveal that flexibility and workplace connectivity after hours positively influence productivity, and flexibility helps to relieve instead of increase work overload. Meanwhile, a higher level of flexibility and productivity can help reduce work-to-life conflict, and a higher level of work overload induces a higher level of work-to-life conflict.

• International Commerce and Information Review
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• v.12 no.4
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• pp.151-170
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• 2010

The present study made an empirical analysis for investigating the competitiveness of technology trades in Korea. In particular, the study deduced the correlation between technology export and technology import using the variables of Gross Domestic Expenditure on R&D and Per capita industry value added Productivity and employed fixed effect model in panel linear regression model. It is found that the R&D expenditure of OECD countries made a significant effect on the technology import and the value-added labor productivity made a significant result on both technology export and import. Therefore, it showed that the technology trade in Korea made a sensitive response to labor productivity in OECD countries. By panel analysis, machine, construction, ICT, and service industry affect most on technology export in Korea for recent 5 years. For technology import, electric-electron, chemical, service, and construction industry have significant effects. This study contributed to understanding of industrial characteristics affecting technology trades in Korea and empirical analysis to show correlation between the factors affecting technology trade.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.10
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• pp.992-1000
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• 1991

At present, using different method, in the view of point of that factory to the rising of the productivity, they try to rise productivity by factory automation. First, it is the automation of each unit process. In out country, in the case of a few developed factory. they are realized by line automation. The majority factories are established by automation device of unit process. But, as the established devices, it must be connect between unit processes or mutual assistance and offical automation in order to raise up productivity highly. In this paper, process inspection control system is installed by each unit process automation and connect main computer with them. So, we try to rise high productivity using stochastic process and supervision function.

• 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.

• Management & Information Systems Review
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• v.8
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• pp.1-23
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• 2002

Technical innovation is very important in the small and medium enterprises. All successful innovation stars from a creative ideas, it be a new application for a technology, the satisfaction of a new identified need or of an old need in a new way, or the manufacture of a product by a different method. The purpose of this study is to investigate into the implementation effect of IMS(information management system) for information in small and medium enterprises. This research analysis was done as to small and medium enterprises of 24. The Results for this research analysis was as follows. First, the satisfaction scored 4.10 in information level up of the small and medium enterprises. Second, increased effect productivity scored 3.37 in samples of 17. Thrid, increased management efficiency productivity scored 3.14 in samples of 17.