scholarly journals The Relationship Between Network Capabilities and Innovation Performance : Evidence from Chinese High-Tech Industry

2018 ◽  
Author(s):  
Gang Fang ◽  
Chen Chouyong ◽  
Qing Zhou
Keyword(s):  
Innovation Performance ◽  
High Tech ◽  
High Tech Industry ◽  
The Relationship

The Effect of Organizational Slack on Innovation Performance

2020 ◽  
pp. 1453-1483
Author(s):  
Qiuyue Pan ◽  
Jiang Wei ◽  
Latif Al-Hakim
Keyword(s):  
Human Resources ◽  
Disruptive Innovation ◽  
Innovation Performance ◽  
Financial Resources ◽  
High Tech ◽  
Organizational Slack ◽  
Chinese Stock Market ◽  
High Tech Industry ◽  
National Databases ◽  
The Relationship

To compete through disruptive innovation, organisations allocate part of its resources as a buffer to support its capability of disruptiveness or to face challenges created by competitors. These resources could be in terms of human resources, technology, equipment, information and/or financial resources. Literature refers to the buffer of resources as organisational slack. This research considers high-tech industry in China and investigates the relationship between the characteristics of the organisation's governance body, organisational slack and innovation performance. Data required by our research were obtained from various national databases available in the library of Zhejiang University. Data from 233 high-tech organisations listed in Chinese stock market were analysed. The results indicate that the interaction of the organisational slack of an organisation with various characteristics of the governance body partially moderates the innovation performance.

The Effect of Organizational Slack on Innovation Performance

2016 ◽  
pp. 559-589
Author(s):  
Qiuyue Pan ◽  
Jiang Wei ◽  
Latif Al-Hakim
Keyword(s):  
Human Resources ◽  
Disruptive Innovation ◽  
Innovation Performance ◽  
Financial Resources ◽  
High Tech ◽  
Organizational Slack ◽  
Chinese Stock Market ◽  
High Tech Industry ◽  
National Databases ◽  
The Relationship

To compete through disruptive innovation, organisations allocate part of its resources as a buffer to support its capability of disruptiveness or to face challenges created by competitors. These resources could be in terms of human resources, technology, equipment, information and/or financial resources. Literature refers to the buffer of resources as organisational slack. This research considers high-tech industry in China and investigates the relationship between the characteristics of the organisation's governance body, organisational slack and innovation performance. Data required by our research were obtained from various national databases available in the library of Zhejiang University. Data from 233 high-tech organisations listed in Chinese stock market were analysed. The results indicate that the interaction of the organisational slack of an organisation with various characteristics of the governance body partially moderates the innovation performance.

Threshold Effect of Knowledge Accumulation between Innovation Path and Innovation Performance: New Evidence from China’s High-tech Industry

2018 ◽  
Vol 23 (1) ◽  
pp. 163-184 ◽  
Author(s):  
Heng Chen ◽  
Jian Hou ◽  
Wei Chen
Keyword(s):  
Innovation Management ◽  
Threshold Model ◽  
Innovation System ◽  
Threshold Effect ◽  
Innovation Performance ◽  
High Tech ◽  
Dynamic Threshold ◽  
High Tech Industry ◽  
Knowledge Accumulation ◽  
The Relationship

In the process of transitioning from closed to open innovation, regions in developing countries need to understand how to choose the most effective path within the complex innovation system while considering their own innovation factors. Based on provincial panel data from China’s high-tech industry and the improved dynamic threshold model, we introduce the threshold of knowledge accumulation (KLA) into the non-linear mechanism between innovation paths and innovation performance to compare the dynamic threshold effect and its heterogeneity. This research provides interesting insights into innovation paths, showing that the relationship between the innovation path and innovation performance is significantly influenced by the threshold effect of KLA. As the level of KLA strengthens, its effects on each innovation path change. Overall, this article shows how KLA affects the relationship between the innovation path and innovation performance. The article concludes with a discussion of the implications of these insights for innovation management and policy.

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

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.

scholarly journals Relationships among Government Funding, R&D Model and Innovation Performance: A Study on the Chinese Textile Industry

2020 ◽  
Vol 12 (2) ◽  
pp. 644
Author(s):  
Zhiying Zhang ◽  
Hua Cheng ◽  
Yabin Yu
Keyword(s):  
Textile Industry ◽  
Industrial Development ◽  
Innovation Policy ◽  
Threshold Effect ◽  
Government Funding ◽  
Innovation Performance ◽  
High Tech ◽  
Promoting Effect ◽  
Pillar Industry ◽  
The Relationship

The textile industry is a traditional pillar industry of the national economy in China. The strategic goal of Chinese innovation is to upgrade and transform traditional industries and make them develop in coordination with high-tech industries, so as to realize sustainable industrial development. At the core of industrial sustainable development, the innovation of the textile industry in China has become an important issue worthy of attention. Based on resource-based theory and signal transfer theory, the relationship between government funding, R&D models and the innovation performance of the Chinese textile industry is studied. The results show that government funding has a significant, direct promoting effect on the internal R&D and science-based cooperation of enterprises. Government funding indirectly promotes market-based cooperation through internal R&D. The promoting effect of internal R&D on innovation performance is greater than that of cooperative R&D. Internal R&D and cooperative R&D have more promoting effects on R&D reserve performance than those on market performance. Government funding indirectly promotes innovation performance through the mediation of internal R&D and science-based cooperation. The threshold effect of cooperative R&D indicates that only when the cooperative R&D intensity exceeds the threshold can government funding foster innovation performance more effectively. The conclusions can provide theoretical guidance for the formulation of innovation policy.

Human capital and innovation: mixing apples and oranges on the board of high-tech firms

2019 ◽  
Vol 58 (5) ◽  
pp. 897-926 ◽  
Author(s):  
Fabrizia Sarto ◽  
Sara Saggese ◽  
Riccardo Viganò ◽  
Marianna Mauro
Keyword(s):  
Human Capital ◽  
Ordinary Least Squares ◽  
Primary Sources ◽  
Limited Attention ◽  
High Tech ◽  
Firm Innovation ◽  
High Tech Industry ◽  
Content Type ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this paper is to provide insights into the implications of board human capital heterogeneity for company innovation by focusing on the educational and the functional background of directors. Moreover, it examines the moderating effect of the CEO expertise-overlap within the innovation domain on the relationship between board human capital heterogeneity and firm innovation. Design/methodology/approach The hypotheses are tested through a set of ordinary least squares regressions on a unique dataset of 149 Italian high-tech companies observed between 2012 and 2015. Findings Findings show that the educational and the functional background heterogeneity of directors increase both the innovation input and output. However, results highlight that these relationships are negatively moderated by the CEO expertise-overlap within the innovation domain. Practical implications The paper emphasizes the importance of appointing directors with different and specific educational and functional backgrounds to foster the company innovation. Originality/value The paper fills a gap in the literature as it has devoted limited attention to the performance implications of board human capital heterogeneity in the high-tech industry where knowledge and skills are the primary sources of value. Moreover, the paper integrates the research on the CEO-board interface by shedding light on how the CEO expertise within the innovation domain affects the contribution of heterogeneous boards to company innovation.

Effects of supply chain position on the motivation and practices of firms going green

2013 ◽  
Vol 34 (1) ◽  
pp. 93-114 ◽  
Author(s):  
Sonia M. Lo
Keyword(s):  
Supply Chain ◽  
Driving Force ◽  
Demand Uncertainty ◽  
Driving Forces ◽  
High Tech ◽  
High Tech Industry ◽  
Content Type ◽  
Green Practices ◽  
The Relationship ◽  
External Driving

Purpose – The aim of this study is to understand the effect of a firm's position in a supply chain in its industry on the attitude of the firm toward green strategies through empirical data analysis. This study aims to answer the following research questions: Do the environmental uncertainties a firm faces differ with the firm's position in the supply chain when going green?, Would the motivation of a firm for going green vary with uncertainties it faces in the supply chain? and Would green-related practices a firm accepts or executes vary with the firm's position in the supply chain? Design/methodology/approach – The case study method was utilized in this study. The main objects are firms in the high-tech industry of Taiwan, and 12 firms were selected for in-depth investigation. The unit of analysis was a firm. Face-to-face in-depth interviews, approximately 90-105 minutes for each, were conducted with each of the 12 cases. The respondents were middle- to high-level managers. The interviews were recorded and transcribed. Additionally, second-hand information was acquired regarding each case through channels such as firm web sites, documents, and media reports. These integrated data were later utilized in the single-case and cross-case analysis stages. Findings – In this study, firms of Taiwan's high-tech industry are divided into the upstream (raw material supplier), midstream (original design manufacturers/original equipment manufacturer), and downstream (brand company) categories. It is first found the uncertainties a firm encounters when implementing green practices are related to its position in the supply chain. The closer a firm is to the upstream of the supply chain, the higher the competitive uncertainty. In contrast, the closer a firm is to the downstream, the higher the demand uncertainty. Furthermore, the internal and external driving forces of firms in promoting green practices are related to the types of uncertainties the firms encounter in the supply chain. A firm's internal driving force is positively associated with the demand uncertainty it faces, however, negatively with the competition and supply uncertainties. On the other hand, a firm's external driving force is positively associated with the competition and supply uncertainties it faces, however, negatively with the demand uncertainties. Additionally, the association between firm willingness to promote green practices and its position in the supply chain is explored. It is found that, for firms located in the downstream of supply chain, it emphasizes more on the practices of green design, purchase, and internal environmental management. If a firm is located in the midstream of supply chain, it will focus more on the practice of green manufacturing and logistics. Originality/value – This study has expanded the discussion of green supply chain management. It establishes the relationship between the uncertainties and the major driving forces of firms for implementing green practices. This approach is rare in previous literature. Furthermore, past literature has suggested that a specific relationship exists between driving factors and firm practices. The author believes that such a relationship must be based on the position of firms in the supply chain; thus, the author has identified the relationship between supply chain position and green practices.

scholarly journals The Relationship between Market Share and Information in a High-Tech Industry

2004 ◽  
Vol 2 (1) ◽  
Author(s):  
Vasilis Theoharakis ◽  
Demetrios Vakratsas ◽  
Veronica Wong
Keyword(s):  
Market Share ◽  
High Tech ◽  
High Tech Industry ◽  
The Relationship
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