• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.74-82
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• 2016

The term research institute spin-offs refers to new firms created by public research institutes. These spin-offs are different from other start-ups in two respects: on the one hand, they should be located in the Special Research and Development Zones and, on the other hand, these firms are supposed to commercialize the results of public R&D activities. These spin-off firms show higher rates of survival and job creation than general new firms, which means that their contribution to economic growth is not negligible. The present study analyzes the factors affecting research institute spin-offs using a random effect panel logit model and negative binomial model. From previous studies, four elements are identified as playing an important role in the commercialization of public R&D through spin-offs, namely their organizational character, research capability, technological character, and geographical location. The empirical results demonstrate that government research institutes with more researchers and patents are more likely to create new firms. In addition, the location of the institutes significantly affects the probability of their creating spin-offs and their number. When the technological stage and TLO size are considered, however, it turns out that the number of researchers and technological stage play important roles in the spin-offs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.319-322
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• 2014

Due to the active use of the internet currently, the transportation volume of logistics firms is dramatically increasing, but it is not easy to secure available vehicles and vehicle suppliers, so it is the most important for logistics companies to streamline transportations management and process. For such reason, there have been a number of studies to deal with VRP and VSP for efficient vehicle allocation planning of vehicle suppliers and vehicles. But it is hard to reflect traffic situations changing everyday and detailed geographic conditions, and it requires big scale of database and huge calculation time consumption as increase number of depots, which is very inefficient. For solving the vehicle allocation planning problems of 3PL firms with various constraints due to the transportation cost, this paper suggest new vehicle allocation information system and an algorithm based transportation cost/income. Also this paper presents actual results applied to a logistics company. As a result, the transportation profit of vehicle suppliers increased by 11 percent in average, when the developed transportation cost-based vehicle allocation system applied.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.501-506
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• 2021

Under the pressure of business competition and effectiveness, more and more organizations in the world are likely to apply modern software such as enterprise resource planning (ERP) which can help them to create better organizing practice, better managing capabilities of administrators, and better operations of personnel. In Vietnam, many firms are afraid to install it and the number of firms adopting this software is limited mainly due to the insufficient scientific evidence of the successful implementation of ERP. This study aims to identify and measure the factors influencing the successful implementation of ERP of firms in Vietnam. Qualitative research methodology combined with quantitative research methodology is used. The data are surveyed with 343 administrators of 45 organizations that have successfully deployed ERP in Ha Noi and Ho Chi Minh cities. Of these 19 were excluded from analyses due to unsatisfactory responses, and only 324 were used for statistical processing. The collected data were processed by using the SPSS software. The result of the study shows that there are six factors affecting the successful implementation of ERP of firms in Vietnam, (ranked in descending order of importance), they are top management commitment and support, business process re-engineering, user involvement, project management board, vendor support, and suitability of software and hardware.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

• Knowledge Management Research
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• v.11 no.3
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• pp.47-58
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• 2010

Knowledge is fundamental asset for firms in the contemporary economy. Organizations are attempting to leverage their knowledge resources by employing knowledge management. However, a large number of KM initiatives fail due to the ignoring of human factors. We adopt theoretical framework and augment it with extrinsic variables, individual, organizational, and systematic factors that are believed to influence knowledge sharing and outcome of travel agency.

• Journal of Korea Technology Innovation Society
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• v.8 no.3
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• pp.887-910
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• 2005

This paper attempts to approximate the distribution function for the number of innovation activities (NIA). To this end, the dataset of 2002 Korean Innovation Survey (KIS 2002) published by Science and Technology Policy Institute is used. To deal with zero NTI values given by a considerable number of firms in the KIS 2002 survey, a mixture model of distributions for NIA is applied. The NIA is specified as a mixture of two distributions, one with a point mass at zero and the other with full support on the positive half of the real line. The model was empirically verified for the KIS 2002 data. The mixture model can easily capture the common bimodality feature of the NIA distribution. In addition, when covariates were added to the mixture model, it was found that the probability that a firm has zero NIA significantly varies with some variables.

• Journal of the Korea Safety Management & Science
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• v.7 no.4
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• pp.27-38
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• 2005

In manufacturing industry of the modem industrial society, people increasingly become concerned the awareness of safety increasingly although they have regarded production the most important factor. Even though, as people make efforts on accident preventions, the number of accidents is decreasing, fatal major industry accidents are rather thanincreasing so that the number of deaths has not decreased. Under these conditions, there is an attempt to introduce and perform the process safety management system as a means for keeping from major industry accidents. However, it leaves to be desired on the methods of measuring process safety in the general manufacturing industry, while it is available to do that in the chemistry industry. Therefore, in this paper, we analysis processes of manufacturing industry in safety point of view and suggest the technique efficiently measuring and managing each process. Proposed the technique shows that the specification on safety determines AHP weight through the managers of firms and each process is suggested by using normalized matrix.

• International Commerce and Information Review
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• v.10 no.1
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• pp.3-31
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• 2008

Northeast Asia is expected to be on economic bloc which is competed with other economic blocs such as EU, NAFTA. E-Commerce based on IT and networking results in paradigm shift in Northeast Asian Nations, that is, Korea, China, Japan, Taiwan etc. There are the similarities and differences in e-Commerce situations in these nations. The differences are the gaps in e-Commerce infrastructures such as Internet, e-Commerce solution, e-payment system and e-logistics system etc. A number of interorganizational, intraorganizational and usage level factors influences the performances of all firms using e-Commerce tools. As result of this empirical study, China records low level of e-Commerce in terms of environmental aspects, usage and performance while Korea and Japan record relatively high levels. It is also found that non-economic performance is higher than economic performance in Northeast Asian firms. The purpose of this paper contributes to resolve the digital divide in Northeast Asia and to improve e-Commerce infrastructures in Northeast Asia by estimating current e-Commerce levels of Northeast Asian countries and suggesting future development strategies of those countries through e-Commerce cooperation.

• IE interfaces
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• v.13 no.3
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• pp.471-478
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• 2000

One of the most important problems encountered by parcel transportation firms or LTL (Less-than-truckload) firms is the planning of daily linehaul operations. The transportation firm's goal is to determine the most efficient way to move all freight from its originating terminal to its destination terminal after each shipment is picked up from the shipping dock. The purpose of this study is to design a transportation system and develop an efficient scheduling algorithm for linehaul operations carrying small amount of shipment. This paper presents three approaches for efficient linehaul operations. The first approach examines drivers using the roundtrips which start from a terminal, visit several terminals, and return to the starting terminal. The second approach uses a freight assembly center where drivers take freight for a number of destination terminals which they then swap for freight for their starting terminal. The third approach is similar to the second approach in that it uses a transshipment point like a freight assembly terminal for shipment, but it has several transshipment points since each shipment may have a different transshipment point. In this study, we developed a mathematical formulation and algorithm for each approach. The experimental results using data of a LTL firm show that the third approach is more efficient than the other two. Mileage and overnight stays of the third approach are reduced by 10% and 30%, respectively.

• Journal of Digital Convergence
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• v.7 no.1
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• pp.157-164
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• 2009

This research focuses on entrepreneurial orientation(EO) of technology spin-offs as they are expected to reduce the gap between their technology and the market. Entrepreneurial orientation is an organizational activity or process that redistributes or combines resources in an innovative way and takes risk to create new values. It helps improve the level of organizational innovation to deal with uncertainty. An empirical study was performed to analyze the EO of spin-offs established by members of university faculties and research institutes in Korea. Antecedent variables to EO are hypothesized to include public policy for university faculty members and researchers at research institutes, the relationship with incubating organizations, and the level of social networking with other firms. The EO and technological performance relationships are also hypothesized. Data from a total of 121 spin-off organizations were collected and a series of multiple regressions were performed. The performance variable included both technological performance, such as the number of newly marketed products and new technology and subjective performance, such as the level of satisfaction with sales amount and profitability. Several important conclusions were drawn from this study. First, while government policy is not related to EO, the policy of a university or a research institute has a significant effect on the level of innovativeness. Second, a high percentage of human resources applied at the incubating organization results in a negative effect on risk taking. The level of cooperation with the incubating organization too is not related to Entrepreneurial Orientation. Third, the intensity of cooperative networking with other firms has a significant effect on risk-taking. Network relationship with government related organizations is not related to Entrepreneurial Orientation. This study analyzes the importance and role of policy of the university and research institute and networking with other firms to improve EO. It also suggests that a high composition of human resources at the incubating organization has a negative relationship with EO.