• Journal of Technology Innovation
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• v.21 no.2
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• pp.225-254
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• 2013

This paper examines an explanatory power of primary alliance motivation theories, such as 'Transaction-Cost Economics (TCE)' and 'Resource-Based View (RBV)', on the technological alliance partner selection criteria, governance and performance. Adopting perspectives of integration provided by TCE and RBV, this work examines the impact of both theories on the alliance processes such as alliance partner selection, governance and performance. Empirical findings show that both TCE and RBV are effective in explaining the choice of technological alliance partners. In addition, TCE appears to be more effective in providing explanation of technological alliance governance structure. Also, both TCE and RBV are effective in evaluating the technological alliance performance phase, though RBV appears to be slightly more effective.

• Proceedings of the Technology Innovation Conference
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• 1997.07a
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• pp.195-221
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• 1997

This study examines the changing patterns of technological cooperation activities along technological development stages. Based on the longitudinal sample of 58 small and medium-sized companies in telecommunication equipment and device sectors, proposed hypotheses are tested using paired comparison t-test, ANOVA and multiple regression analysis. Major findings of this study are as follows. Along technological development stages, (1) patterns of technological cooperation activities differ in terms of the extent and diversity of use, partners, method, and motivation and (2) the impact of specific forms of technological cooperation activities on the firm's technological innovation varies. In addition, some managerial and policy implications are presented and future research directions are suggested.

• Journal of Korea Technology Innovation Society
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• v.2 no.1
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• pp.74-89
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• 1999

The purpose of this study is to identify in two aspects the relationship between standardization activities and technological development at the firm level. The first aspect is to analyze the relationship between the current Korean industrial standards system and the firm's technological development vis-a-vis quality standards. The analysis reveals that even if Korean firms recognize the importance of standards, the level of product quality of the KS mark is still lower compared to the average world level. The survey also reveals that the reasons for acquiring ISO and KS marks are mainly aimed at enforcing company image and increasing quality management mind, rather than to foster technological innovation. The second aspect explores how much Korean industrial standards (KS marks) affect the firm's technological development in the Process of standards acquisition activities. The survey results show that standardization activities have a less positive impact on technological innovation than on the maintenance of consistent production works.

• International Journal of Precision Engineering and Manufacturing
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• v.9 no.4
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• pp.22-25
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• 2008

The dynamic response of the head arm assembly (HAA) of a hard disk drive to an impact load was obtained from a 3D non-linear finite element model using ANSYS/LS-DYNA and from experiments using a modified levitation mass method (LMM). In the finite element model, the impact load was created by modeling the mass as a rigid body and making it collide with the HAA. The velocity, displacement, acceleration, and inertial force of the mass were then obtained from the time history data of the finite element analysis. In the LMM, a mass that was levitated with an aerostatic linear bearing, and hence encountered negligible friction, was made to collide with the actuator arm, resulting in a dynamic bending test for the arm. During the collision, the Doppler frequency shift of the laser beam reflected from the mass was accurately measured with an optical interferometer. The velocity, displacement, acceleration, and inertial force of the mass were accurately calculated from the measured time-varying Doppler frequency shift. A good correlation between the experimental data and FEA results was observed. The FEA was also used to investigate the dynamic response of the HAA to impact by different masses.

• Asia Marketing Journal
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• v.19 no.1
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• pp.19-34
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• 2017

Despite the importance of the impact of network structure on the relationships between firms and firm performance, few studies have investigated these effects. This study investigates how network openness influences the relationships between TSI, opportunism, technological uncertainty, and supplier performance. We also try to figure out how network openness functions as a governance mechanism.

• Journal of Technology Innovation
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• v.8 no.1
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• pp.73-94
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• 2000

The main objective of this research is to examine the spillover effects of technological knowledge from IT industry to other industrial sectors and, based on empirical findings, to draw policy implications and suggest policy directions. To this end, we divide IT industry into IT equipment and IT service, assuming that these two sub-sectors are considerably different each other in terms of technology knowledge flow. Other industries are classified into 17 different sectors based on the KSIC of 1990. As the proxy measure of technological knowledge, the notion of R&D stock is employed. The Input/output(I/O) Table is used to define the inter-industrial flow pattern and to draw the knowledge flow matrix. As the research methodology, cost function model is employed to gauge the spillover effects of technological knowledge of IT industry. Based on the results of analysis, it is found that the economic impact of technology diffusion also exhibits a different pattern between IT equipment and IT service. The diffusion of IT equipment tends to show labor-substitution effect whereas IT service displays labor-creation effect. This fact should be considered in devising industry, education, and labor policy. The expectations from this research are as follows. First, the sectoral pattern, difference between IT equipment and service in particular, identified from this research may shed light on the sector-specific policy direction. It is emphasized that a sector-specific approach, rather than an aggregate approach, is relevant for formulating IT policy. Second, it is expected that the importance of technology diffusion programs and policy measures are recognized among policy makers in IT industry.

• KDI Journal of Economic Policy
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• v.44 no.2
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• pp.1-28
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• 2022

This paper studies how COVID-19 has affected the labor market in Korea through a general equilibrium model with multiple industries and occupations. In the model, workers are allocated to one of many occupations in an industry, and industrial or occupational shocks alter the employment structure. I calibrate the model with Korean data and identify industrial and occupational shocks, referred to here as COVID-19 shocks, behind the employment dynamics in 2020 and 2021. I find that COVID-19 shocks are more severe for those with jobs with a higher risk of infection and in those that are more difficult to do from home. Interestingly, the relationship between COVID-19 shocks and infection risk weakened as the pandemic progressed, whereas the relationship between COVID-19 shocks and easiness of work-from-home strengthened. I interpret the results as meaning that the pandemic may direct future technological changes to replace tasks that require contact-intensive steps, and I simulate the impact of such technological changes through the lens of the model. The results show that such technological changes will lower the demand for manual workers compared to the demands for other occupations. This contrasts with the earlier trend of job polarization, where manual workers continued to increase their employment share, with the share of routine workers secularly declining at the same time.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.122-125
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• 2000

The Analytic Hierarchy Process (AHP), a decision making model, which is more applicable than other methods to R&D project selection, particularly when it is applied to intangibles. The objective of this paper is to develop an extended model of the AHP which Is linked to Cross Impact Analysis to assist in the ranking of a large number of technological alternatives. In this study, we developed a priority setting algorithm which considers the cross-impact of the future technology alternatives and thus developed an integrated cross-impact hierarchical decision-making model, which sets the priority by considering technological forecasting and technology dependency

• Journal of Digital Convergence
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• v.10 no.6
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• pp.17-22
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• 2012

The technological innovation of IT industry is the competitive tool for them to survive in the environment of an intensive competition. This technological innovation is critical in the survival of firms, but various factors should be considered to embody technological innovation success. This paper aims to identify the determinant factors of the outcome which influence the technological innovation based on the IT industry, and set up a model for measuring technological innovation success. A hypothesis was established for the impact relation between technological innovation success and government support level, which was verified through the logistic regression analysis. In conclusion, in terms of government support, IT manufacturing companies to the success of product innovation, technology development(R&D) and commercialization of direct support is needed for the financial support. And, the success of process innovation is accomplished through manpower training of technical personnel.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.355-364
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• 2022

The effect of technological innovation on the high-quality development of the producer services industry depends on whether or not technical innovation efficiency plays a key role. This study looks at the impact of technological innovation and financial technology (fintech) on the development of high-quality producer services in Fujian Province from 2010 to 2019. The efficiency of technological innovation is measured using Data Envelopment Analysis (DEA) and the Malmquist productivity index. The mean overall innovation efficiency score is 0.639, meaning that Fujian accounts for 36.1% of resource utilization inefficiencies and that there are significant differences in technological innovation efficiency between cities. The findings show that high-quality producer services industries benefited from innovation efficiency, but that the influence of technological innovation efficiency is insignificant. This demonstrates that financial innovation has not been able to completely enhance the development level of the producer services industry. This may be due to the unreasonable output structure of technological innovation and the low industrial transformation rate of technological achievements. This study advocates that the R&D fund allocation structure be optimized. That technological innovation can improve the high-quality development of the producer services industry is a consensus within the academic community.