• Title/Summary/Keyword: Measurement of innovation

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The Effect of Absorptive Capacity on Technology Collaboration Performance: Focusing on the Moderating Roles of Innovation Intermediaries

  • Hyungju Lee;Geonil Ko;Namjae Cho
    • Journal of Information Technology Applications and Management
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    • v.31 no.2
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    • pp.15-34
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    • 2024
  • This study aims to analyze the effect of absorptive capacity on technology collaboration performance and the moderating effect of innovation intermediaries. We set absorptive capacity (potential, realized) as independent variables and technology collaboration performance (relative technology level, development period, cost savings, new product development, collaboration satisfaction) as dependent variables, with innovation intermediaries as a moderating variable. We conducted a survey of 145 ICT companies that experienced technology collaboration and analyzed the data using 101 valid responses. The results show that potential absorptive capacity has a significant effect on new product development and collaboration satisfaction, while realized absorptive capacity has a significant effect on relative technology level, cost savings, and new product development. Furthermore, innovation intermediaries have a moderating effect between realized absorptive capacity and new product development. The contribution of this study to academia and industry is that it highlights absorptive capacity as a key factor influencing technology collaboration performance. The limitations of this study include the lack of accurate measurement of absorptive capacity and innovation intermediaries, as well as a lack of control over external factors. These limitations should be addressed through more in-depth research by systematically defining and measuring them in future follow-up studies.

Measurement of Urban Competitiveness Based on Innovation Indicators in Six Metropolitan Cities in Korea

  • Kwon, Seongsil;Kim, Joochul;Oh, Deog-Seong
    • World Technopolis Review
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    • v.1 no.3
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    • pp.177-185
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    • 2012
  • In recent years, some experts have shown that urban competitiveness is more important than national competitiveness. They have also argued that innovation will make cities more competitive. The purpose of this paper is to create Korean urban competitiveness index, and to also highlight strategic aspects for enhancement of urban competitiveness of metropolitan cities based on innovation in Korea. First, we will present various factors and indicators of urban competitiveness based on three components for innovation: formation of cluster, human capital, creative economy. Available literature and statistical analyses will be used. Second, scores of urban competitiveness will be developed based on Analytic Hierarchy Process (AHP). Evaluation of scores with weights will be used for this purpose. The resulting weights are 0.3672 for the formation of cluster, 0.3318 for human capital, and 0.3010 for creative economy, respectively. Finally, we present urban competitiveness using the standardized T-score. The most competitive city based on innovation is Daejeon(1st), followed by Gwangju(2nd) and Daegu(3rd). Three least competitive cities are Incheon (6th), Busan(5th) and Ulsan(4th).

A Technique and software of analysis and control for measurement process

  • Zhao, Fengyu;Xu, Jichao;Bergman, Bo
    • International Journal of Quality Innovation
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    • v.1 no.1
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    • pp.97-105
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    • 2000
  • In this paper, a two-section method for measuring is introduced and the variation sources of measurement process are analysed. Measuring is a special process in general process. Various variation source must be firstly decomposed so that the statistical distribution law of measuring process can be established, and then implement monitoring control of the measuring process. A special method to obtain the measuring variation is discussed, and a monitoring control technique for measuring process is studied based statistical distribution. Towards the end, we briefly introduce software design for the analysis and control of a measurement process.

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A Case Study on the Compatibility Analysis of Measurement Systems in Automobile Body Assembly

  • Lee, Myung-Duk;Lim, Ik-Sung;Sung, Chun-Ja
    • International Journal of Reliability and Applications
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    • v.9 no.1
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    • pp.7-15
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    • 2008
  • The dimensional measurement equipment, such as Coordinate Measurement Machine (CMM), Optical Coordinate Measurement Machine (OCMM), and Checking Fixture (CF), take multiple dimensional measurements for each part in an automobile industry. Measurements are also recorded under different measurement systems to see if the responses differ significantly over these systems. Each measurement system (CMM, OCMM, and CF) will be considered as different treatments. This set-up provides massive amounts of process data which are multivariate in nature. Therefore, the multivariate statistical analysis is required to analyze data that are dependent on each other. This research provides step by step methodology for the evaluation procedure of the compatibility of measurement systems and clarify a systematic analyzation among the different measurement system's compatibility followed by number of case studies for each methodologies provided.

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A Framework for Measuring the Internationalization of Innovation Systems: Focusing on the Korean Atomic Energy and Space Sectors (혁신시스템 국제화 측정을 위한 프레임워크 구축 및 활용: 한국 원자력산업과 우주산업을 중심으로)

  • Park, Si-Hun;Cho, Hyung-Rae;Chung, Sunyang
    • Journal of Technology Innovation
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    • v.24 no.2
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    • pp.115-141
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    • 2016
  • In this study, we established a framework for measuring the internationalization of innovation systems. Through this, we try to make a comparative analysis on the atomic energy and space sector in Korea. According to our analysis, the atomic energy sector has a higher level of internationalization in its innovation system with technological level than the space sector. This study indicates that the internationalization of innovation system is an important factor for catching up a leader. The framework, which was developed in this study, could be applied to many case studies on an international leadership of innovation system. In addition, it could provide some implications for technology management, especially in the sectors which fell into a strategic dilemma.

The Effects of Imprecise Measurement on the Economic Asymmetric $\bar{X}$ and S Control Charts

  • Yang, Su-Fen
    • International Journal of Quality Innovation
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    • v.3 no.2
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    • pp.46-56
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    • 2002
  • The presence of imprecise measurement may seriously affect the efficiency of process control and production cost. A cost model is derived to determine the design parameters of the economic asymmetric $\bar{X}$ and S control charts including measurement errors. The effects of imprecise measurement on the performance of the economic asymmetric $\bar{X}$ and S control charts and production cost are examined for the case where the process mean and process standard deviation may change. Application of the proposed control charts is demonstrated through an example. Numerical examples illustrate the effects of imprecise measurement on the design parameters of the proposed control charts. It shows that the imprecision measurement may seriously affrct the ability of the proposed control charts to detect process disturbances quickly, change the sampling frequency, and increase the production cost compared to the control charts excluding measurement errors.

A Comparitive Study of MAUT and AHP in Priority Setting of R&B Projects (연구개발사업 우선순위 설정에 있어서 다속성효용이론(MAUT)과 계층분석과정(AHP)의 비교)

  • 박주형;김정흠
    • Journal of Korea Technology Innovation Society
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    • v.2 no.2
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    • pp.201-218
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    • 1999
  • The article contains an introduction of possibility of applying Multi-Attribute Utility Theory(MAUT) for priority setting of R&D projects. MAUT is compared with AHP, which is widely used recently. These two techuiques are applied to set priorities of R&D projects In a Government-funded Research Institute. Six criteria are chosen from consultation with decision makers. They are composed of 1) validity as representative projects, 2) possibility of resource mobilization, 3) spillover effect of developed technologies, 4) possibility of success, 5) scope of participation and 6) clarity of research goal. To set priorities of R&D projects, SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement) out of many MAUT methods are used to design the utility function and to determine the weights among criteria. The aggregation model is additive on the assumption the criteria are independent. AHP executes pairwise comparisons for criteria and alternatives. From the results of the case study, the results and theoretical characteristics are compared.

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A New Measurement to Understand Convergence Phenomenon

  • Kim, Keun-Hwan;Moon, Yeong-Ho
    • Asian Journal of Innovation and Policy
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    • v.2 no.1
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    • pp.37-62
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    • 2013
  • Many scholars have persevered in understanding the convergence process by developing a measurement that reflects the characteristics of the convergence phenomenon as a process. Recently a series of studies suggested a framework in terms of diversity and coherence. However, an index for coherence is required to reflect the vital features of the conceptual definition, and thus a new index for coherence is proposed in this paper. Technology Convergence Index combines diversity and coherence and indicates the degree of the convergence in information computer technology (ICT), biotechnology (BT) and nanotechnology (NT) sectors. The index can not only be used to track each technology field that consists of a major technology sector, but also to compare other leading countries. Based on a comparison study between the United States and South Korea, the degrees of technology convergence of Korea in ICT, BT, and NT sectors have ameliorated.

Optimal Filtering for Linear Discrete-Time Systems with Single Delayed Measurement

  • Zhao, Hong-Guo;Zhang, Huan-Shui;Zhang, Cheng-Hui;Song, Xin-Min
    • International Journal of Control, Automation, and Systems
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    • v.6 no.3
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    • pp.378-385
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    • 2008
  • This paper aims to present a polynomial approach to the steady-state optimal filtering for delayed systems. The design of the steady-state filter involves solving one polynomial equation and one spectral factorization. The key problem in this paper is the derivation of spectral factorization for systems with delayed measurement, which is more difficult than the standard systems without delays. To get the spectral factorization, we apply the reorganized innovation approach. The calculation of spectral factorization comes down to two Riccati equations with the same dimension as the original systems.

A STUDY ON PUPIL DETECTION AND TRACKING METHODS BASED ON IMAGE DATA ANALYSIS

  • CHOI, HANA;GIM, MINJUNG;YOON, SANGWON
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.25 no.4
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    • pp.327-336
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    • 2021
  • In this paper, we will introduce the image processing methods for the remote pupillary light reflex measurement using the video taken by a general smartphone camera without a special device such as an infrared camera. We propose an algorithm for estimate the size of the pupil that changes with light using image data analysis without a learning process. In addition, we will introduce the results of visualizing the change in the pupil size by removing noise from the recorded data of the pupil size measured for each frame of the video. We expect that this study will contribute to the construction of an objective indicator for remote pupillary light reflex measurement in the situation where non-face-to-face communication has become common due to COVID-19 and the demand for remote diagnosis is increasing.