• Journal of the Korea Society of Computer and Information
• /
• v.22 no.2
• /
• pp.119-125
• /
• 2017

In this paper, we propose an approach to evaluating the performance of the national R&D investment in IT(Information Technology) areas in terms of paper, patent and commercialization, and seeking ways to improve the efficiency of the national R&D investment. This is because the government has focused the national R&D investment on IT areas for some time. For that purpose, we gather data on investments, papers, patents, and commercializations for the government sponsored R&D projects in IT areas through National Science & Technology Information Service. From which, we summarize the investment and performance in terms of papers, patents, and commercializations for each IT area, evaluate efficiency per R&D investment for each IT area, and compare the efficiencies among IT areas. Finally, we drive implications for efficiency enhancement and strategic R&D budget allocation for each IT area.

• The Journal of Economics, Marketing and Management
• /
• v.4 no.2
• /
• pp.20-32
• /
• 2016

The purpose of the present study is to investigate the audit quality and Investment efficiency of the listed companies on the Tehran Stock Exchange (TSE). The population includes 94 firms selected through systematic sampling. The data is collected from the audited financial statements of the firms provided by TSE's website from 2008 to 2015. In this study the variables, auditor industry specialization, auditor reputation, auditor tenure and auditor independence has been used to investigate audit quality. The results of multiple linear regression analysis show that there is a significant relationship audit quality and Investment efficiency.

• The Journal of the Korea Contents Association
• /
• v.11 no.6
• /
• pp.397-406
• /
• 2011

This paper analyzes the efficiency of Korean Financial Investment Institution using DEA model. We evaluate the CCR, BCC efficiency and RTS of 30 Financial Investment Institution. We also suggest the Financial Investment Institution which can be benchmarked based on analyzed information. The result shows that 3 Institution whose values of CCR efficiency are 1, and 7 Institution whose values of BCC efficiency are 1. RTS indicates IRS of 21 Investments, DRS of 6 Investments and CRS of 3 Investments.

• Korean Management Science Review
• /
• v.29 no.3
• /
• pp.91-105
• /
• 2012

This paper examines the investment efficiency of Korean venture capitals during 1987~2006 (20 years), focusing on their selection capability. Despite the Korean government's efforts, venture capital industry has evolved in a slow speed. Since the genesis of venture paradigm in Korea at 1997, venture capital industry as a macro unit has been fully discussed in Korean contexts. But venture capital's activities at micro level regarding each investment's outcome have not been examined. This study attempts to fill the voids of micro knowledge about each investment success rates by venture capitals. We analyzed venture investment records in 4,791 venture startups and their success rates. Their investment criteria were relevant to high potential industries and amount of tangible assets. But their criteria were not relevant to R&D intensity and financial growth of venture firms, which may indicate low level of maturity about Korean venture capital industry. We found that Korean venture capital's investment pattern may be originated from the low return of investment, so that efficiency of IPO markets is a prerequisite for the upgrade of venture capitals' efficiency. Some policy implications are discussed.

• Journal of Information Technology Services
• /
• v.15 no.2
• /
• pp.51-63
• /
• 2016

In this study, we conducted a comparative analysis of R&D investment efficiency and operational efficiency of IT firms using Data Envelopment Analysis (DEA). We categorized thirteen sample firms into two groups-IT manufacturing and IT service-after an extensive literature review on IT industry classification. We adopted an output-oriented two-stage DEA model suggested by Banker et al. (1984) with total asset and R&D investment as input variables. Then, we constructed investment efficiency and operational efficiency by using Return on Equity (ROE) and Return on Asset (ROA) as intervening variables and operating income and Earnings Per Share (EPS) as output variables. The outcome of the analysis is summarized as follows. First of all, IT manufacturing firms were more efficient (57% on average) than IT service firms. To be specific, IT service firms showed decreasing returns to scale (DRS) with diseconomy of scale. In contrast, IT service firms showed higher operational efficiency (81.5% on average) than IT manufacturing firms. Also, we conducted a Mann-Whitney U test to compare the output of IT service firms and IT manufacturing firms. Lastly, we found a negative correlation ($R^2$ = -.754) between R&D investment efficiency and operational efficiency which infers the trade-off between two constructs

• Journal of Information Technology Services
• /
• v.12 no.3
• /
• pp.165-178
• /
• 2013

The interest in economics and efficiency of IT investment is growing as the amount of overall governmental IT investment steadily increase. Accordingly, there is a strong need to determine whether the expenditure incurs effectively for IT investment and to accurately analyze the economics of IT investment, In this perspective, this study discusses the prior researches on concepts regarding the analysis of IT investment management framework as proposed from academic and professional perspectives in advanced countries' government sectors. Thereafter, an adoption of IT investment management (ITIM) framework has been considered so as to enhance the performance of ICT initiative projects in the public sector. In the suggested IT investment management framework, we suggest economics and efficiency of public IT investment should be improved by integrating ICT project selection and control as well as evaluation stage into single governance framework.

• Journal of Environmental Policy
• /
• v.10 no.2
• /
• pp.61-92
• /
• 2011

We analyzed the efficiency of environment investments by taking examples of central government's environmental investment (CGEI hereafter) and investment in prevention of environmental pollution (IPEP hereafter). We expanded the scope of existing studies by decomposing the internal rate of return (IRR hereafter) and present value of benefit (Bpv hereafter) into variable cost (VC hereafter) reduction, investment cost reduction (STC-VC hereafter), and rent. And we found that Bpv checks only the magnitude of benefit, while IRR indicates the existence of efficiency by investigating short-run total cost (STC hereafter) reduction and rent. Finally, by analyzing investment efficiency and changing benefit with respect to CGEI and IPEP through the investment efficiency methodology that compares IRR with market interest rate, we executed retrospective benefit-cost analysis. Accordingly, CGEI and IPEP are not efficient. However, IPEP is even more inefficient than CGEI.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.4
• /
• pp.101-110
• /
• 2018

This study aims to objectively measure the efficiency of nanotechnology R&D programs by systematically evaluating the inputs and outputs of nanotechnology R&D activities and to find implications for improving the efficiency of nanotechnology R&D programs. Data on input factors such as R&D investment, R&D manpower, R&D period, and output factors such as paper, patent, and commercialization for R&D projects which started from 2008 or afterwards and ended by 2011 are gathered through National Science and Technology Knowledge Information Service, which are used for efficiency evaluation. In this study, we analyzed R&D efficiency in detailed technology units in depth. The process taken in this study is as follows. First, the basic statistics of input and output factors to compare and analyze R&D investment, R&D manpower, R&D period, paper, patent, and commercialization status by technology unit are analyzed. Next, DEA models are utilized to derive the overall efficiency, pure technology efficiency, and scale efficiency by conducting the efficiency evaluation for each technology unit, from which implications for strategic budget allocation are derived. In addition, partial efficiency evaluation is conducted to identify advantages and disadvantages of each technology unit. In turn, cluster analysis is performed to identify similar technology units, from which implications for efficiency improvement are derived.

• Journal of the Korea Safety Management & Science
• /
• v.19 no.2
• /
• pp.41-50
• /
• 2017

Disaster and safety budget can be characterized as a large-scale public asset on which the government has a significant role. It is of a crucial importance to properly allocate the limited national budget to various areas as necessary. Higher investment efficiency of the budget related to disaster and safety management requires distribution criteria based on relevance and efficiency. Currently, the budget related to disaster and safety management is orchestrated through the prior consultation system. However, there is still no clear framework for reviewing the investment direction and setting the priority investment areas by prior consultation. This study analyzes the status and characteristics of disaster and safety management projects by damage type and proposes a structured system for prioritization. This framework can be useful in selecting the areas that need priority investments by damage type of disaster and safety management projects, thereby contributing to improving investment efficiency.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.1
• /
• pp.9-20
• /
• 2019

Korea's R&D investment has significantly increased in recent years. However, the efficiency of R&D investment is still in question. In order to examine the ways to improve the efficiency of R&D investment, this paper presents dynamic analysis on both quantitative and qualitative efficiency of R&D projects. A Data Envelopment Analysis(DEA)/Window method is used to analyze static and dynamic efficiencies of Industrial Material R&D projects in Korea from 2012 to 2016. As a result, statistically significant differences between quantitative and qualitative efficiency have been found. It has been observed that characteristics of Decision Making Units(DMUs) have an impact on both static and dynamic efficiencies. In particular, textile and ceramic projects showed relatively stable qualitative efficiency for a short-term perspective, while steel and chemical projects showed such stability for a long-term perspective. Among the types of project principals, universities showed relatively stable efficiency, compared with private sectors and research institutes. The results of this paper can be used as a guideline to manage the performance and stability of R&D projects' efficiency.