The Effects of a CEO’s Technical Background and Cross-functional Coordination on Technological Innovation Performance: The Mediating Role of Technological Innovation Orientation

The purpose of this study is to identify core influencing factors of technology commercialization at a firm level in Korea and to propose a comprehensive model of a successful technology commercialization process. The data was collected from 70 studies selected through a systematic literature review, and two meta-analytic methods were applied to analyze these data. First, we analyzed the data by a meta-analysis(MA) method and identified six key factors influencing the success of the technology commercialization. The results of meta-analysis showed 0.3672 of correlation coefficient as overall average effects size which corresponded to a high side of medium effect. Next, we conducted a meta-analytic structural equation modeling(MASEM) to test relationships among these variables and to present a conceptual model of technology commercialization. The adjusted model showed a better fit to the data and significant path coefficients, and thus was adopted as the final research model of technology commercialization of the present study.

Section: A Literature Reviewsmentioning

confidence: 79%

Analysis of Success Factors for Technology Commercialization using Meta-Analytic Structural Equation Modeling

Chung¹,

Hyun²

2019

“…Internal factors include the CEO's willingness and corporate culture and external factors include external network. Moon (2017) confirmed in his study that the CEO's technically oriented functional background affects the firm's technological innovation performance.…”

Section: Influencing Factors In Previous Studiesmentioning

confidence: 79%

Meta-Analysis on the Influencing Factors of Technology Commercialization in Korea

Chung¹,

Hyun²

2018

In this study, the various influencing factors presented in the prior studies in Korea relating to technology commercialization were classified and grouped into 8 upper group factors and 16 subgroup factors based on their theoretical background. Meta-Analysis was then conducted to figure out the average effects size of overall influencing factors and to identify the key success factors of technology commercialization. In addition, moderator effects were analyzed based on paper type, data type, and sample size. The results showed .3576 of correlation coefficient (ESr) as the summary effect size from 72 studies with 18,370 samples and six (6) factors were derived as the key success factors of technology commercialization: Marketing Capability, Strategic Planning, Manufacturing Capability, Internal Cooperation, External Cooperation, and Learning Capability. Moderator effects were found with data type and sample size but no significant results were obtained with the paper type.

“…Especially, the CEO in high technology firms plays a more significant role in managing corporate decisions. 1) As high CEO equity incentive motivates a CEO to be more discretionary, this study anticipates that the CEO of a high technology 1) Moon (2017) finds that technical backgrounds of the CEO can affect on his or her technology-related decisions, indirectly contributing to positive firm performance.…”

Section: ⅰ Introductionmentioning

confidence: 94%

Managerial incentives and investment efficiency in high technology firms

Yu¹

2018

This study explores the effect of the CEO equity incentive on the investment efficiency of high technology firms. Previous studies suggest that the CEO equity incentive is an influential factor in the CEO using discretion for his or her own benefits. Further, high technology firms have not only a highly uncertain information environment, but also a unique corporate life cycle, concentrating on the earlier stages. The frequent adjustment in product designs to meet the market requirement can significantly alter the level of capital investments. Thus, this study hypothesizes that both CEO equity incentive and high technology significantly reduce the investment efficiency of firms because of the high level of information asymmetry. Using a sample of 10,556 firm-year observations from 2000 to 2014 for U.S. public firms, this study provides clinching evidence that both CEO equity incentive and high technology significantly decrease investment efficiency of firms. Further, this study finds that the investment efficiency decreases more in high technology firms with CEO equity incentive. This study contributes to the literature by finding that the CEO equity incentive and high technology firms are significant determinants of investment efficiency owing to the highly uncertain information environment they face.