A Study on the Effects of Human Capital of Chinese High Tech Companies on Innovation Performance - Focused on the Mediating Effects of Absorptive Capacity -

2021 ◽  
Vol 8 (4) ◽  
pp. 241-265
Author(s):  
Si-Meng Liu ◽  
◽  
Tae-Won Kang ◽  
Tae-Uk Ahn
2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.


2020 ◽  
Vol 44 (6) ◽  
pp. 908-930
Author(s):  
AiHua Wu

This study seeks to better understand the link of a tourism firm’s intellectual capital to innovation performance, empirically testing the mediating role of absorptive capacity and moderating effect of asset specificity. Findings from 217 Chinese tourism firms indicate that absorptive capacity plays a mediating role in the capital–performance link, and the effect of social capital to absorptive capacity is highest when asset specificity is at an intermediate level, having an inverted “U” shape. The result indicates that the effect of the human capital is “U” shape with asset specificity. Thus, the findings make a few new important insights to the tourism innovation literature and also offer a number of vital implications for tourism managerial practices.


2020 ◽  
Vol 6 (4) ◽  
pp. 100 ◽  
Author(s):  
Jaeseong Kim ◽  
Sang Ok Choi

In order to improve innovation performance, it is necessary to analyze a series of processes that are connected to innovation performance, as well as R&D input. Since industrial characteristics affect innovation performance, the differences between corporate R&D capabilities in the industrial sector should also be considered. This study verified the effect of R&D capabilities and absorptive capacities on innovation using a structural equation model for Korean manufacturing companies, and analyzed in-depth the relationship between capability and performance of high- and low-tech sectors through multi-group analysis. The results show that internal and external R&D capabilities had a positive effect on absorptive capacities, and potential absorptive capability had a positive effect on realized absorptive capacity. In addition, internal R&D capability and realized absorptive capacity had a positive effect on innovation, and the mediating effect of absorption capacities could be identified. As a result of industry sector-specific analysis, the latent mean of internal R&D capability and innovation of the high-tech sector were higher, and the path coefficient of the high-tech sector from the internal R&D capability to potential absorptive capacity and innovation performance was more strongly identified than those of the low-tech sector. Based on the results of this study, we would like to present policies for the development of firm’s R&D capabilities by the industry sector.


2021 ◽  
pp. 1-24
Author(s):  
Michael Yao-Ping Peng ◽  
Rui Li

Abstract This study uses a sample of technological mergers and acquisitions (M&As) of A-share listed companies in the five major high-tech industries from 2012 to 2016, and conducts factor analysis to measure the heterogeneity of these enterprises in terms of financial slack resources, equity resources, and governance structure. On this basis, multivariate regression analysis is utilized to explore the influence of the acquiring firms' heterogeneity on their innovation performance, and the adjustment action of absorptive capacity between heterogeneity and innovation performance. The research results show that the slack financial resources and highly centralized equity structure of enterprises are not conducive to enterprises improving their innovation performance following a technological M&A, while the impact of governance structure on innovation performance following an M&A is similarly not significant. The empirical evidence provided offer insights and a decision reference for technological M&As of high-tech enterprises.


2021 ◽  
Vol 13 (8) ◽  
pp. 4579
Author(s):  
Yunlong Duan ◽  
Hanxiao Liu ◽  
Zhiqing Deng ◽  
Peng Tao

In the literature on business model innovation (BMI) in multinational corporations (MNCs), the influence of cross-border R&D (Research and development) sourcing on innovation performance has been widely discussed; however, from a BMI perspective, apart from innovation performance, the innovation quality is also important. In addition, absorptive capacity and institutional distance are important indicators of MNCs’ innovation quality, although there have been few studies of the moderating effects on the relationship between R&D sourcing and innovation quality. Based on this research gap, starting from the perspective of BMI and by constructing a research framework that includes R&D intensity, R&D diversity, and innovation quality, this paper takes China’s high-tech MNCs as the research object to obtain a sustainable innovative business model. Further, absorptive capacity and institutional distance serve as moderating variables to study the moderating role of the relationship between R&D sourcing and the innovation quality of MNCs. This paper presents the following research findings. During the process of cross-border BMI, R&D intensity has a significant, inverted U-shaped relationship with innovation quality; R&D diversity has a significant negative linear relationship with innovation quality; and absorptive capacity and institutional distance each have a moderating effect on the above relationships.


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