• Journal of Information Technology Services
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• v.11 no.sup
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• pp.153-164
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• 2012

There is a belief that timely and precise data are important to decisions and the better decisions are related to better firm performance. However, empirical research investigating the effect of data quality on firm financial performance is still scarce up to recently. Current study empirically explores such an effect of data quality on firm accounting performance in the Korean manufacturing industry during 2008~2010 with secondary data. The results show that better data quality does not impact on sales and operating profit, but positively and significantly impacts on EVA(Economic Value Added). Raising the level of data quality management maturity by one level can increase EVA by about 34% in manufacturing firms.

• Journal of Technology Innovation
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• v.10 no.2
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• pp.69-90
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• 2002

This paper investigates the determinants of the firm's decision to carry out innovative activities in terms of the resource-based view(RBV) in strategic management. Two types of resources are distinguished: tangible(financial autonomy, firm size, capital intensity) and intangible(human resource, entrepreneurship, and commercial resource). R&D intensity and patent statistics are used as proxies for innovative activity. Specific hypotheses about their effect on the probability of a firm carrying out innovative activities are derived and tested on a sample of 337 listed firms in Korean manufacturing industry for the year 1999, using the logistic regression model. Empirical findings suggest that firm size and human resource are the main determinants of firm's internal innovative activities. The results show that the hypotheses concerning financial autonomy, debt ratio, capital intensity, entrepreneurship, and commercial resource are rejected.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.6
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• pp.350-357
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• 2004

In a deregulated electricity generation market, the sufficient capacity of transmission lines will promote the competition among generation companies (Gencos). In this paper, we show that Gencos' possession of rights to collect congestion rents may increase the competition effects of the transmission lines. In order for concrete analysis on this effect, a simple symmetric market model is introduced. In this framework, introducing the transmission right to the Gencos has the same strategic effects as increasing the line capacity of the transmission line. Moreover, the amount of effectively increased line capacity is equal to the amount of the line rights. We also show that the asymmetric share of the financial transmission rights may result in an asymmetric equilibrium even for symmetric firms and markets. We also demonstrate these aspects in equal line rights model and single firm line rights model. Finally, a numerical example is provided to show the basic idea of the proposed paper.

• The Korean Journal of Financial Management
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• v.16 no.1
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• pp.83-114
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• 1999

본 연구는 우리나라 기업지배권 시장에서 합병일 이후 합병기업 주가의 장기성과를 측정하고자 하였다. 이를 위해, 본 연구에서는 1980년에서부터 1994년까지의 15년 동안 이루어진 120개 합병기업을 대상으로 합병일 이후 3년 동안 합병기업 주식의 초과수익률을 추정하였다. 실증분석 결과, 전체표본(N=120)의 경우 합병일 이후 3년 동안 합병기업 주식의 누적초과수익률과 매입-보유 초과수익률의 값이 모두 마이너스를 나타내고 있으나 통계적으로 유의성이 없어, 합병일 이후 합병기업의 장기성과가 존재하지 않는다는 귀무가설을 기각하지 못했다. 그러나, 동일 계열기업을 합병한 합병기업의 부표본(N=105)과 비상장기업을 합병한 합병기업의 부표본(N=92)에서는, 합병기업의 장기성과가 모두 유의적인 마이너스 초과수익률로 나타났다. 그리고, 합병일 이후 합병기업 주가의 저성과 현상은 합병대상기업이 계열기업이면서 동시에 비상장기업일 경우에 더욱 두드러지게 나타난다는 것을 다변량 회귀분석을 통해 발견하였다. 계열기업간 합병 및 비상장기업과의 합병을 대상으로 한 이러한 연구결과는, 우리나라 기업집단의 지배구조와 기업문화와 상당한 관련성이 있는 것으로 생각된다.

• Journal of the Korean Data and Information Science Society
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• v.23 no.2
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• pp.365-374
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• 2012

Weather derivatives designed to manage casual changes of weather, as opposed to catastrophic risks of weather, are relatively a new class of financial instruments. There are still many theoretical and practical challenges to the effective use of these instruments. The objective of this paper is to develop a pricing approach for valuing weather derivatives and presents a case study that is practical enough to be used by the risk managers of electrical utility firms. Utilizing daily average temperature data of Guangzhou, China from $1^{st}$ January 1978 to $31^{st}$ December 2010, this paper adopted a univariate time series model to describe weather behavior dynamics and calculates equilibrium prices for weather futures and options for an electrical utility firm in the region. The results imply that the risk premium is an important part of derivatives prices and the market price of risk affects option values much more than forward prices. It also demonstrates that weather innovation as well as weather risk management significantly affect the utility's financial outcomes.

• Journal of the Korea Institute of Building Construction
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• v.23 no.4
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• pp.485-496
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• 2023

Precise construction cost estimation is paramount to determining the total construction expense of a project prior to the initiation of the construction phase. Despite this, manual quantification and cost estimation methods, which continue to be widely used, may result in imprecise estimation and subsequent financial loss. Given the fast-paced and efficiency-demanding nature of the construction industry, trustworthy quantity and cost estimation is essential. To mitigate these obstacles, this research is focused on establishing an automated quantity estimation algorithm, particularly designed for the main rebar of beams which are recognized for their complicated reinforcement configurations. The exact quantity derived from the proposed algorithm is compared to the manually approximated quantity, reflecting a variance of 10.27%. As a result, significant errors and impending financial loss can be averted. The implementation of the findings from this research holds the potential to significantly assist construction firms in quickly and accurately estimating rebar quantities while adhering strictly to applicable specifications and regulatory requirements.

• Asia Marketing Journal
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• v.16 no.1
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• pp.13-20
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• 2014

Despite heightened interest in and increased urgency surrounding the adoption of green business initiatives, firms seem to suffer from a limited understanding of the prerequisites and profit potentials of green strategies. Our proposed theoretical model suggests that green purchasing asa unique firmcapability must be built on internal organizational characteristics (i.e., top management commitment to environmental management, inter-functional coordination, and performance evaluation and reward systems), and that it eventually helps a firm obtain positive financial performance. We offer some research propositions about potential causal relationships among key constructs that can be empirically tested in future research. We conclude the current study with implications for both managers and researchers.

• Asian Journal of Innovation and Policy
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• v.12 no.3
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• pp.323-344
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• 2023

This study investigates the resilient structural characteristics of a region by assessing the impact of the financial crisis. Utilizing panel data at the prefecture level for metropolitan cities across pre-shock (2006-2008), shock (2009), and post-shock (2010-2019) periods, we calculated an employment resilience index by combining the resistance and recovery indices. The panel logit regression measures the influences of the region's industrial structure and external economic factors in response to the global financial crisis. The results revealed that the diversity index of industries contributed to the post-shock recovery bounce-back. Additionally, the presence of large firms and industrial clusters within the region positively contributed to economic resilience. The specialization and the proportion of manufacturing industries showed negative effects, suggesting that regions overly reliant on manufacturing-centered specialization might be vulnerable to external shocks. Furthermore, excessive capital outflows for market expansion were found to have a detrimental impact on regional economic recovery.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.117-129
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• 2015

As the Internet becomes ubiquitous, a large volume of information is posted on the Internet with exponential growth every day. Accordingly, it is not unusual that investors in stock markets gather and compile firm-specific or market-wide information through online searches. Importantly, it becomes easier for investors to acquire value-relevant information for their investment decision with the help of powerful search tools on the Internet. Our study examines whether or not the Internet helps investors assess a firm's value better by using firm-level data over long periods spanning from January 2004 to December 2013. To this end, we construct weekly-based search volume for information technology (IT) services firms on the Internet. We limit our focus to IT firms since they are often equipped with intangible assets and relatively less recognized to the public which makes them hard-to measure. To obtain the information on those firms, investors are more likely to consult the Internet and use the information to appreciate the firms more accurately and eventually improve their investment decisions. Prior studies have shown that changes in search volumes can reflect the various aspects of the complex human behaviors and forecast near-term values of economic indicators, including automobile sales, unemployment claims, and etc. Moreover, search volume of firm names or stock ticker symbols has been used as a direct proxy of individual investors' attention in financial markets since, different from indirect measures such as turnover and extreme returns, they can reveal and quantify the interest of investors in an objective way. Following this line of research, this study aims to gauge whether the information retrieved from the Internet is value relevant in assessing a firm. We also use search volume for analysis but, distinguished from prior studies, explore its impact on return comovements with market returns. Given that a firm's returns tend to comove with market returns excessively when investors are less informed about the firm, we empirically test the value of information by examining the association between Internet searches and the extent to which a firm's returns comove. Our results show that Internet searches are negatively associated with return comovements as expected. When sample is split by the size of firms, the impact of Internet searches on return comovements is shown to be greater for large firms than small ones. Interestingly, we find a greater impact of Internet searches on return comovements for years from 2009 to 2013 than earlier years possibly due to more aggressive and informative exploit of Internet searches in obtaining financial information. We also complement our analyses by examining the association between return volatility and Internet search volumes. If Internet searches capture investors' attention associated with a change in firm-specific fundamentals such as new product releases, stock splits and so on, a firm's return volatility is likely to increase while search results can provide value-relevant information to investors. Our results suggest that in general, an increase in the volume of Internet searches is not positively associated with return volatility. However, we find a positive association between Internet searches and return volatility when the sample is limited to larger firms. A stronger result from larger firms implies that investors still pay less attention to the information obtained from Internet searches for small firms while the information is value relevant in assessing stock values. However, we do find any systematic differences in the magnitude of Internet searches impact on return volatility by time periods. Taken together, our results shed new light on the value of information searched from the Internet in assessing stock values. Given the informational role of the Internet in stock markets, we believe the results would guide investors to exploit Internet search tools to be better informed, as a result improving their investment decisions.

• Management Science and Financial Engineering
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• v.10 no.1
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• pp.43-52
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• 2004

This paper empirically investigates potential factors that might affect firms' incentives to license out technology. The analysis is done with the help of a panel data set of observed licensing transactions involving U.S. public companies in high-technology industries. The important explanatory factors relate to the firm characteristics such as the company's stock of technological knowledge (patent stock). prior involvement in technology licensing. the company size, R&D intensity and capital expenditure. The results suggest that there seems to be significant inter-sectoral differences as well as similarities in determinants of the propensity to transfer technology through licensing agreements.