• Proceedings of the Technology Innovation Conference
• /
• 1998.06a
• /
• pp.208-215
• /
• 1998

Since the advent of conceptual prototype and seminal application, the notion of national systems of innovation(NSI) has drawn an increasing recognition. Although the morphological entanglement is still ubiquitous and the theoretical underpinning is fragile, NSI seems to be the last step toward an increasingly complex and encompassing concept of innovation research. Inevitably, NSI necessitates the comparative analysis in that it normatively attempts to draw best practices. Unfortunately, national profiles are too complex and diverse to derive a unified, concrete representation of the system, posing the problem of defining and modelling NSI for international comparison. This paper aims at providing an inductive taxonomy of NSI based on R&D structure of OECD member economies. Based on the similarity among national profiles, clustering method was applied to identify seven clusters such as (1) enterprise-government funding and enterprise-education performing group, (2) enterprise-government funding and balanced performing group, (3) balanced funding and enterprise-education performing group, (4) balanced funding and performing group, (5) enterprise-dominating group, (6) government-education dominating group and (7) government-education funding and education performing group. This paper by nature is descriptive and exploratory. R&D structure represents a static snapshot of innovative performance since it accounts for only the input side of NSI and thus may not offer convincing explanations of the holistic innovation system. A more detailed and extensive analysis on the economic/technological performance across clusters will shed light on the promising avenue to future research.

• Journal of Technology Innovation
• /
• v.11 no.1
• /
• pp.177-193
• /
• 2003

This paper examines empirically if the increase of funding uncertainty in government supported R&D institutes(GSRIs) in Korean cause managers to use more effective management control practices. Recently government introduced a new government R&D budget management system, based on competition, named PBS(Project Base System). Government requires GSRIs to be self-supporting and compete for funding from government. The introduction of new budget management system named PBS, has resulted in the increase of funding uncertainty in GSRIs. According to institutional theory, government organizations gain legitimacy by conforming to external expectations regarding management control practices, In contrast, contingency theory proposes that management control practices are driven by the fit between the technical features of the environment and the management control practices. The contingency literature provides that one external factor expected to motivate government managers to use more efficient control practices is the presence of competition and funding uncertainty. This paper use both theoretical perspective to develop hypotheses and examine the influence of funding environment on management control practices. Results show that the more institutionalized environment, the more managers in GSRIs rely on bureaucratic mode of control for conforming to external requirements, and the greater the funding uncertainty, the more managers use results and personal modes of control to improve research team performance.

• The Journal of Information Systems
• /
• v.27 no.4
• /
• pp.229-249
• /
• 2018

Purpose The purpose of this paper is to conduct exploratory comparative research on the determinants of successful crowdfunding projects, focusing on multiple crowdfunding platforms in Korea, U.S., and Japan. Design/methodology/approach This study collected data from three representative crowdfunding platforms: Wadiz (Korea), Kickstarter (U.S.), and Readyfor (Japan). Based on 1,906 crowdfunding projects from Wadiz, 3,864 projects from Kickstarter, and 3,060 projects from Readyfor, multiple regression models were applied. Findings Focusing on the crowdfunding projects which have overly achieved goal amount, the analysis results show that the number of comments, the number of Facebook likes and the number of backers have an positive impact on the performance of crowdfunding projects, while target amount has a negative impact. Comparatively, word counts of project description have an impact on funding performance in U.S. and Japan, while the number of images in project description affects funding performance in Korea and U.S. Meanwhile, video clips in project description has little impact on crowdfunding performance in all of the three funding platforms.

• Journal of Korean Institute of Industrial Engineers
• /
• v.34 no.2
• /
• pp.190-204
• /
• 2008

Recently, it has been strongly required to establish a systematic and sustainable performance investigation and evaluation framework on governmental funding projects for IT small and medium-sized enterprises. In this paper, Data Envelopment Analysis (DEA) models are adopted for performance evaluation on governmental funding projects for IT small and medium-sized enterprises. A new data structure is proposed for the DEA performance evaluation. Generally, in using DEA models, DEA multipliers restriction is critical to achieve the reliability of DEA optimal solutions. Based on the outputs and inputs considered in this study, Acceptance Region (AR) constraints are generated and incorporated into the DEA models so as to improve the reliability of DEA efficiency scores. Associated with AR Type I (AR-I), AR Global Model (ARGM) constraints, DEA/ (AR-I, ARGM) models are designed and then sensitivity analysis follows investigating the robustness of DEA efficiency scores relating to AR constraints adjustment. Finally, a performance evaluation is illustrated regarding governmental direct funding projects from Ministry of Information and Communication (MIC) in Korea where each project unit (i.e. Decision Making Unit (DMU)) is determined whether it is efficient or not. By using DEA/(AR-I, ARGM) models designed in this paper, robustly efficient DMUs are gradually identified according to the successive AR constraints adjustment. Among 25 DMUs, results show that 6 DMUs such as B, E, G, Q, S, Y are determined as robustly efficient against AR constraints intermediate adjustment.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.14 no.2
• /
• pp.31-46
• /
• 2019

As the importance of venture firms has increased as a new growth engine, the South Korea government makes various efforts to establish healthy ecosystems for ventures and start-ups. Especially in order to foster the competitiveness of venture firms, various support policies such as financial and R&D expenses are being expanded and promoted. In this study, the author analyzed the impact of government funding on venture firms' internal competencies and management performance by using the resource-based theory. Moreover, this study tested the moderation effect of firm's growth stages. Unlike previous studies, this study focused on qualitative rather than quantitative aspects of internal competencies and the financial and non-financial performance are used to measure the management performance of the ventures to examine the effects of government funding for venture firms in more details. For the purpose of verifying the hypothesis of this research, "The Research On The Precision Status Of Venture Firms" in 2017 from the Ministry of Small and Medium Business was utilized, which has been compiled since 1999. According to the results of this study, the government funding experience did not significantly affect the company's internal competencies and financial performance, but had a significant impact on the non-financial performance, which in turn seemed to have a significant effect on the financial performance. In addition, it was found that the technology, price, design, and quality competencies affected non-financial performance, while the organizational management and marketing competencies did not. However, the price, design, organizational management, and marketing competencies affected financial performance, while the technology competency was not. Finally, there were no differences in the effectiveness of government funding, depending on the growth stages.

• Journal of Technology Innovation
• /
• v.22 no.4
• /
• pp.1-19
• /
• 2014

The purpose of this research is to analyze the performance of technology transfer of university and professors' capability based on their research activities and performance. For this study, paper citation index, patenting activities, R&D funding scales from public and private sectors separately, careers before and after being professor, scale of research team of 80 professors, who had experienced in technology transfer, were collected. Major result of this research shows that patenting activities rather than paper publishing, R&D funding from private sectors rather than public sectors, and careers after being professor rather than before, are significant factors to affect the performance of university's technology transfer.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.32 no.12B
• /
• pp.815-825
• /
• 2007

It is necessary to establish a systematic framework where the performance of governmental funding projects can be evaluated just-in-time as well as objectively regarding IT small and medium-sized enterprises and venture business. In this study, a framework is proposed for the performance evaluation using Data Envelopment Analysis (DEA) and a case study is illustrated with an empirical dataset. Especially, in order to enhance the reliability of optimal solutions, a DEA/AR-I revised model is developed by adding Acceptance Region (AR) Type I constraints into the DEA basic model. Based on the procedure and the models, it is considered that an 'efficiency score' can be calculated as a guideline for conducting successive performance evaluation processes fast. As for major governmental funding projects with respect to 'IT SMERP 2010 Plan', performance evaluations are discussed concerning between projects as well as between corporate entities within each project.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.33 no.5B
• /
• pp.364-378
• /
• 2008

Data Envelopment Analysis(DEA) models can be used for performance evaluation on governmental funding projects for IT small and medium-sized enterprises associated with multiple-outputs/multiple-inputs. In order to enhance the accuracy of DEA efficiency scores, DEA models with exogenously fixed variables are required where the corporate competency is taken into account. Additionally, it is necessary to use multiple DEA basic as well as extended models so as to relax the restriction on the performance evaluation to relying on a single DEA model. In this study; 1)a DEA data structure is designed including exogenously fixed variables representing corporate asset, revenue and the number of employees at the point in time that the governmental funding project concerned is initiated; 2)DEA basic as well as extended models are established according to the DEA data structure presented abovementioned; and 3)a case study is illustrated with an empirical testbed dataset. As for the DEA basic models, CCR, BCC, Super-efficiency model are adopted. The DEA extended models are developed based on the models associated with noncontrollable and nondiscretionary variables. In the case study, it is explained a comparison of DEA models and also major numerical outcomes such as efficiency scores, ranks derived from each DEA model are integrated using Analytic Hierarchy Process(AHP) weights. Performance significance with DEA efficiency scores between technical categories are tested based not only on parametric but also nonparametric single-factor analysis of variance method.

• The Journal of the Korea Contents Association
• /
• v.21 no.9
• /
• pp.570-579
• /
• 2021

Compared to men, women experience difficulties in fund-raising, which can be a fundamental impediment to the success of women entrepreneurs. In this study, we examine whether is a difference between genders in the initial funding performance of start-up companies and confirm whether there are differences in organizational factors and entrepreneur factors that affect the initial funding performance. Data were collected through a survey of technology-based start-up companies located in the metropolitan area, and 287 companies were used for hypothesis analysis. The results reveal that there was a significant difference between genders in the investment attraction performance of early-stage entrepreneurs. In addition, as a result of the split-group regression analysis, it was found that in the case of men, firm age, early firm size, starting capital, engineering major had a significant effect on men. However, in the case of the women's group, it was confirmed that all the variables related to the organizational factors and entrepreneur factors were not significant. This study indirectly suggests that prejudices such as gender role stereotypes actually affect economic activities related to investment attraction activities.

• The Journal of the Korea Contents Association
• /
• v.14 no.11
• /
• pp.893-904
• /
• 2014

This study is designed to analyze the status of R&D investment and managerial performance related to the domestic manufacturing. To accomplish the purpose of the study, We have regression analyzed 6,054 companies based on the data of 'Business Activity Survey' disclosed by Statistics Korea. Result of the study are as follows. First, electronics, IT, and auto industry account for 25.6% of the country's manufacturing companies and take up 75.8% of the total R&D funding for the manufacturing industry. Second, R&D funding exercises positive influence on sales and the number of registered patents, which last exerts positive influence on sales.