• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.1
• /
• pp.205-215
• /
• 2019

Researchers have confirmed the relationship between ambidexterity learning and innovation performance, but according to the resource-based theory, the relationship between ambidexterity learning and innovation performance is also affected by the internal resources of the organization. Internal resources are an important factor affecting the transformation of learning outcomes into performance. In addition, few scholars have pointed out whether different types of learning have different effects on different types of innovation performance. This study collects data from 170 High-tech enterprises in Shandong, china, and discusses the effects of exploitative learning and explorative learning on management innovation performance and technological innovation performance. This study further examines the moderating role of slack resource on the relationship between ambidexterity learning and innovation performance. Results show that ambidexterity learning has positive effect on innovation performance. Compared with exploitative learning, explorative learning has a greater impact on management innovation performance; compared with explorative learning, exploitative learning has a greater impact on technological innovation performances. Slack resource has positive moderating role between the relationship of exploitative learning, explorative learning and technology innovation performance. But Slack resource has no moderating role between the relationship of exploitative learning, explorative learning and management innovation performance.

• Journal of Korea Technology Innovation Society
• /
• v.15 no.3
• /
• pp.627-648
• /
• 2012

The Purpose of current study is to empirically examine the impact of innovation resistance management practices on technological innovation activities and its performance. Drawing upon literature review, innovation resistance management practices are conceptualized and the measurement items of independent and dependent variables are developed. Survey-based data for this study was collected from 300 Korea manufacturers. The results of structural equation modeling analysis are as follows. First, innovation resistance management practices significantly affected on technological innovation activities and its performance. Second, technological innovation activities affected on its performance. Therefore, in order to make high innovation performance, corporate have to properly implement the innovation resistance management practices.

• Journal of Distribution Science
• /
• v.10 no.8
• /
• pp.15-23
• /
• 2012

This study is an attempt to explore the nature and characteristics of strategic impact of green strategy by environmental capital, corporate reputation, and technology strengths on the firm's performance across countries. The main question addressed in this paper relates to how corporate sustainability, corporate reputation, technology strength, and capabilities influence the firm's economic performance with respect to diverse dimensions of performance measures including sustained growth through the leading firms across countries in the United States, Canada, Europe, and Asia-Pacific countries. Particularly, this study attempts to empirically explore the directions and magnitudes of the operational links between new emerging strategic core competencies (e.g., sustainability green strategy by environmental focus for more sustainable path, corporate reputation by corporate social responsibility and image enhancement, and technology strengths to develop a new product and market) and the firm's economic performance with respect to diverse dimensions of performance such as accounting (ROE and EOA) - and market-based performance (Market value and Tobin's q). Considering all possible limitations that might exist with regard to selected samples and methods, this study demonstrates that environmental sustainability, corporate reputation, technological capabilities and competencies through R&D intensity and patent are most likely to be significantly associated with most market-based performance measures, but the strategic significance of other variables such as capital intensity, leverage, and administrative cost efficiency on performance tends to be different depending on which performance measure is used across different countries with diverse economic and business contexts.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.2
• /
• pp.177-184
• /
• 2017

Understanding trends and drivers of technology diffusion is imperative to forecast new technology adoption and understand the process of technological innovation. Our research utilizes a quantitative trend analysis considering both technological and economic indicators for trends and drivers of technology diffusion for 32nm, 22nm, and 14nm logic semiconductor technology. In terms of technological performance, the technology diffusion curve showed an S-curve pattern during the stages of maturity and decline, and the diffusion curve showed evidence supporting the learning curve. The diffusion curve showed the life cycle duration of 2 years, and the rate of technological performance and obsolescence are observed quantitatively between generations. Architectural innovation is affected by technological drivers more significantly than economic drivers. This research has implications as empirical research on the trends and drivers of technology diffusion in the high-tech semiconductor industry, and is meaningful in forecasting new technology adoption or build technology strategy.

• Knowledge Management Research
• /
• v.21 no.4
• /
• pp.109-127
• /
• 2020

This study empirically investigates the effects of information search on new product development (NPD) process and performance with a sample of 82 NPD projects in 5 firms. The information search is consisted of general sources, internal sources, and external sources. The performance is consisted of technological and market performance. Findings show that information search from internal sources increases the technological knowledge of the NPD team, and information search from external sources increases the market knowledge of the NPD team. The technological and market knowledge of the NPD team increases its technical performance respectively. Only the market knowledge of the NPD team increases its market performance. Overall, the technological knowledge of the NPD team fully mediates the relationship between the information search from internal sources and its technical performance. The market knowledge of the NPD team fully mediates the relationship between the information search from external sources and its technical performance, and the relationship between the information search from external sources and its market performance. There is no other significant mediation relationships between the information searches and the performances. Implications of the research findings are discussed, and recommendation for future research are provided.

• Journal of Technology Innovation
• /
• v.5 no.1
• /
• pp.15-43
• /
• 1997

This paper investigates empirically the relationship between various business portfolio properties (particularly technological properties) and chaebol's performance using data on the 50largest chaebols in Korea. In addition to the traditional indexes to measure diversification such as entropy index, we calculated inter-industry technological similarity using R'||'&'||'D expenditure data by industry and 1990 Input-output Table in korea, and obtained chaebol-level technological relatedness and internal transaction proportion from chaebols' business profile, inter-inustry technological similarity and 1990 input-output table. We applied factor analysis on 13 business portfolio property indexes and showed that they could be grouped into 3 dimensions. diversification scope, inter-business relatedness and degree of vertical integration. In this paper, using 50 largest chaebols' financial data (1989-1994), we analyzed empirically the effect of business portfolio properties on ROS(Return On Sales) which is conventional index for firm performance and on TFP(Total Factor Productivity) growth which is a pure measure of firm performance. To utilize the advantage of panel data, FEM(Fixed Effect Model) and REM(Random Effect Model) were used. The empirical result shows that the entropy index as a measurement of inter-business relatedness in not significant but technological relatedness index is significant. OLS estimates on pooled data were considerably different from FEM or REM estimates on panel data. By introducing interaction effect among the three variables for business portfolio properties, we obtained three findings. First, only VI(Vertical integration) has a significant positive correlation with ROS. Second, when using TFP growth as an dependent variable, both TR(Technological Relatedness) and VI are significant and positively related to the dependent variable. Third, the interaction term between TR and VI is significant and negatively affects TFP growth, meaning that TR and VI are substitutes. These results suggest strategic directions on restructuring business portfolio. As VI is increased, chaebols will get more profit. A higher level of either TR or VI will increase TFP growth rate, but increase in both TR and VI will have a negative effect on TFP growth. To summarize, certain business portfolio properties such as VI and TR can be considered "resources" themselves since they can affect profit rate and productivity growth. VI and TR have a synergy effect of change in profit rate and productivity growth. VI increases ROS and productivity growth, while TR increases productivity growth representing a technological synergy effect.t.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.4
• /
• pp.909-916
• /
• 2021

The purpose of the research to analyze SMEs' technological innovation performance in the Special Region of Yogyakarta based on green supply chains. This study's technology innovation performance is influenced by environmental management practices, green supply chain integration, and supply chain knowledge-sharing. This research is important because many SMEs are underdeveloped in terms of technology innovation performance. Technology innovation performance shows that innovation has a multi-dimensional ecological performance in organizations. Therefore, SMEs' sustainable supply chain could be achieved by managing operations, support, and information by focusing on environmental and social issues to maximize the entire chain. This study used primary data. The number of respondents in this study was 200 SMEs that have implemented green supply chain management practices. The data collection method used was a questionnaire. The data analysis technique tool used is a two-step approach to SEM-AMOS. The results of this study indicate that SMEs are willing to implement a green supply chain to increase their performance. The technological innovation performance model of this study is acceptable. The findings of this research suggest that companies must be encouraged to maintain and increase the implementation of green supply chain integration and better supply chain knowledge-sharing with improved technological innovation performance enhancements.

• Journal of Distribution Science
• /
• v.21 no.1
• /
• pp.53-63
• /
• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

• The Journal of the Korea Contents Association
• /
• v.22 no.1
• /
• pp.250-260
• /
• 2022

The purpose of this study is to verify the impact of government subsidies and technological innovation on the business performance of Chinese cultural industry enterprises. Therefore, this study takes 238 listed cultural industry enterprises in China from 2015 to 2020 as the object, collects 1175 samples, and uses Stata16 software for empirical analysis. The analysis results are as follows. First, government subsidies have a positive impact on the business performance of Chinese cultural industry enterprises. Second, government subsidies have a positive impact on the scientific and technological innovation of Chinese cultural industry enterprises. Third, scientific and technological innovation has a positive impact on the business performance of Chinese cultural industry enterprises. Fourth, scientific and technological innovation plays a partially mediating role in the relationship between government subsidies and business performance of Chinese cultural industry enterprises. Based on the research results, measures to improve the business performance of cultural industry companies are as follows. First, establish a modern cultural industry market system. Second, the government should expand financial and tax support for cultural industry companies. Third, promote the integration of cultural industries with scientific and technological innovation.

• Journal of Engineering Education Research
• /
• v.13 no.6
• /
• pp.111-121
• /
• 2010

The purpose of this study is to develop customized technological leadership camp programs in order that engineering students can be techno-leaders in the future. The camp programs were developed by systemic instructional design methodology. A framework of technological leadership was developed through literature reviews and cases analysis, and key competencies on technological leadership were drawn through needs analysis using importance-performance analysis. The participants for needs analysis were 202 engineering students in A university and 22 managers and directors in the companies cooperated with A university. Camp programs focused on key competencies on technological leadership were developed: basic course and advanced course. The programs modified through twice experts committee.