High-tech Enterprises In China Research Articles

Impact of transparent economy on high-tech enterprises in the modern business environment of China

High-quality information support for modern high-tech enterprises in any country is of undeniable relevance. An open, accessible, and fair, transparent economy creates an atmosphere of trust in which people easily perceive transparency, fairness, and efficiency of economic management. The purpose of this study is to determine the impact of a transparent economy on the investment environment, innovation, competitive advantage, government regulation, and the formation of corporate social responsibility in the modern business environment on the example of high-tech enterprises in China. This study uses a multiple linear regression model to analyze the impact of a transparent economy on high-tech enterprises. The research sources included the CSMAR database, China’s stock market and accounting research, China’s economic and financial research database, CRSP, COMPUSTAT, and others, and financial statements of selected high-tech companies. Sustainable development, R&D and innovation, investor relations, social responsibility, and market competitiveness are identified as key aspects of the relationship between a transparent economy and high-tech enterprises. The study confirmed a positive correlation between a transparent economy and the efficiency of resource allocation of high-tech enterprises, the innovation capabilities of high-tech enterprises, the market competitiveness of high-tech enterprises, and the efficiency of state supervision of high-tech enterprises.

Digital transformation as a catalyst for green innovation: An Examination of high-tech enterprises in China's Yangtze River Delta

Green innovation represents a foundational strategy for companies aiming for sustainable and superior growth. In the digital economy landscape, rapid advancements in digital technologies provide enterprises with renewed momentum for progression. Nevertheless, there is scant empirical evidence supporting its efficacy in enhancing environmentally responsible corporate innovation. In the present study, utilising the resource-based view, data were gathered from 571 high-tech firms in China's Yangtze River Delta via surveys. Through hierarchical regression analysis, the interaction between digital transformation and green innovation was examined, taking into account the moderating effect of market-driven environmental pressures. The results indicate that digital transformation substantially promotes green innovation, and this relationship is further positively affected by the presence of market-driven environmental pressures. The present research contributes to the enhancement of green innovation theories and broadens the scope of digitalization research, providing valuable insights for advancing a green, low-carbon circular economy in the digital context.

Marketing Channels for Contract Financing Control of High-tech Listed Companies: Basis for Strategic Plan

Abstract. China's high-tech enterprises have experienced exponential growth in both number and market value, with significant contributions to innovation-driven development, as evidenced by the proliferation of listed companies on the Science and Technology Innovation Board and the Beijing Stock Exchange. This study delved into an assessment of corporate governance, internal control management, and risk management within high-tech enterprises in China, with a specific emphasis on contract financing control. Through a combination of analysis of publicly disclosed data, questionnaire surveys, and examination of internal control documents, the research aimed to provide targeted recommendations for enhancing internal control mechanisms and optimizing contract financing-related management systems. The findings highlighted strong compliance with domestic and international laws and regulations among the 10 selected high-tech listed companies, demonstrating robust performance across parent and subsidiary operations. While internal control documents were comprehensive, areas for improvement were identified. Despite favorable impacts of marketing channels on contract financing control strategies, challenges persisted, including identifying risk sources and addressing issues related to contract compliance, digital technology application, and customer security concerns. Notably, challenges in financial control marketing channel construction encompassed cash flow management, customer credit evaluation, bad debt, and default risks.

Innovative culture and differences for product versus process innovation: reflect on Confucianism and Taoism

ABSTRACT This article examines the difference between innovative culture for product innovation vs. process innovation and sheds light on Confucian and Taoist philosophical roots in innovative cultures for the two types of innovation. We first identify four dimensions of innovative culture: freedom, openness, team spirit, and support & career development, and hypothesise that freedom and openness are more emphasized in innovative culture for product innovation, while team spirit and support & career development are more stressed in innovative culture for process innovation. Using survey data from 33 high-tech enterprises in China, we find support for our predictions. We further analyse that Taoism is more relevant to innovative culture for product innovation, whereas Confucianism is more related to innovative culture for process innovation. By distinguishing innovative cultures between product vs. process innovation and relating to Confucianism and Taoism, this paper provides a nuanced as well as philosophical understanding of innovative culture.

Evaluation of innovation efficiency of high-tech enterprise based on DEA and Malmquist index under the background of sustainable development

Purpose This paper aims to promote the higher quality development of high-tech enterprises in China. While science and technology have greatly promoted human civilization, resources have been excessively consumed and the environment has been sharply polluted. Therefore, it is particularly important for current enterprises to make use of scientific and technological innovation to maximize the benefits of mankind, minimize the loss of nature, and promote the sustainable development of our country. Design/methodology/approach By using DEA-Banker-Charnes-Cooper (BCC) model and DEA-Malmquist model, this paper comprehensively examines the innovation efficiency of high-tech enterprises from both static and dynamic perspectives, and conducts a provincial comparative study with the panel data of ten representative provinces from 2011 to 2020. Findings The research findings are as follows: the rapid number increase of high-tech enterprises in most provinces (cities) is accompanied by an ineffective input–output efficiency; the quality of high-tech enterprises needs to comprehensively examine both input–output efficiency and total factor productivity; and there is not a positive correlation between element investment and innovation performance. Research limitations/implications Because the DEA model used in this paper assumes that the improvement direction of invalid units is to ensure that the input ratio of various production factors remains unchanged but sometimes the proportion of scientific and technological activities personnel and the total research and development investment is not constant. In the future, the nonradial DEA model can be considered for further research. Due to historical data statistics, more provinces, cities and longer panel data are difficult to obtain. The samples studied in this paper mainly refer to the provinces and cities that ranked first in the number of national high-tech enterprises in 2020. Limited by the number of samples, DEA analysis failed to select more input and output indicators. In the future, with the accumulation of statistical data, the existing efficiency analysis will be further optimized. Originality/value Aiming at the misunderstanding of emphasizing quantity and neglecting quality in the cultivation of high-tech enterprises, this paper comprehensively uses DEA-BCC model and DEA Malmquist index decomposition method to make a comprehensive comparative study on the development of high-tech enterprises in ten representative provinces (cities) from two aspects of static efficiency evaluation and dynamic efficiency evaluation.

Impact of network embeddedness on innovation performance: the perspective of organisational routine updating

PurposeNetwork embeddedness has been widely considered in enterprise innovation as an effective means of overcoming resource dilemmas. However, while focussing on acquiring external innovation resources, the existing research often ignores the vital role of internal routine updates. Therefore, this study explores the mechanism by which network embeddedness affects innovation performance of enterprises from the perspective of organisational routine updating.Design/methodology/approachThis paper proposes a theoretical model based on social network theory and organisational routines–immune response theory. A total of 328 pieces of research data on high-tech enterprises in China were collected, and the hypotheses were verified using hierarchical regression analysis.FindingsThe results show that the two forms of network embeddedness – structural embeddedness and relational embeddedness, have a positive effect on enterprise innovation performance and a significant positive effect on organisational routine revision and organisational routine creation. Both organisational routine revision and organisational routine creation positively affect enterprise innovation performance and partially mediate the relationship between network embeddedness and enterprise innovation performance.Originality/valueThis conclusion provides a new perspective on the impact of network embeddedness on enterprise innovation performance and expands the related research on organisational routine updating. This study provides a theoretical reference for high-tech enterprises to improve their competitiveness and innovation performance through network embeddedness and organisational routine updating.

The Impact of Scientific Research Level on Financing for High-tech Enterprises in China: Machine Learning Analysis Based on the STAR Market

Amid the prevailing trend of technological supremacy, the scientific research level plays a pivotal role in elevating economic growth and national comprehensive strength. As crucial forces propelling industrial advancement and economic expansion, high-tech companies share an intricate relationship between scientific research level and enterprise strengths. This study delves into the influence of research level on the financing capacity of enterprises in the STAR market. It employs Ordinary Least Squares (OLS) regression and Gradient Boosting Regression Trees (GBRT) techniques to analyze data between 2019 and 2022. The findings underscore that patent research capabilities and research investment intensity are key factors impacting financing capacity. Specifically, patent quantity exhibits a negative correlation with Asset-liability ratio (ALR), while research investment intensity shows a positive correlation. On the other hand, patent quantity correlates positively with commercial credit financing (CCF) capacity, whereas the proportion of research personnel correlates negatively. The GBRT analysis further validates the significant impact which patent quantity and research investment have on financing capacity. This suggests that high-tech companies should focus on enhancing research efficiency and the proportion of research personnel, while also carefully considering the degree of emphasis on innovation. These measures can balance CCF and debt ratio considerations. The study provides essential decision-making insights for managers and investors of technology-driven firms, emphasizing the significance of technological innovation in business development. Also, it offers guidance for optimizing corporate development and personnel structures in the technology and innovation sectors.

A study on the innovation efficiency of high-tech listed companies in China - Analysis based on three-stage DEA with Malmquist index

In order to adapt to the changing market environment, enterprises need to continuously conduct innovative R&D activities, and innovation efficiency has become a key factor for high-tech enterprises to capture the market. This paper uses a three-stage DEA model and the Malmquist index to measure and analyze the technical efficiency of 60 high-tech enterprises in China from 2013-2021. The findings show that environmental factors have a significant impact on the technical efficiency of enterprises, pure technical efficiency is underestimated and scale efficiency is overestimated, and scale efficiency should be improved by expanding production scale; high-tech enterprises face contradictions between scale efficiency and technical efficiency, and policies drive the technical level to improve, but the comprehensive technical efficiency does not grow. Technological innovation during the epidemic has improved the technical level and utilization efficiency, but the comprehensive technical efficiency still declined. This paper is of great significance in assessing the efficiency of high-tech enterprises between technological inputs and market output, helping them to identify room for improvement and enhance innovation efficiency and competitiveness.

Psychological capital, job involvement and innovative behavior among employees in high tech enterprises in China: Inputs to employee innovation performance framework

Psychological capital, job involvement and innovative behavior among employees in high tech enterprises in China: Inputs to employee innovation performance framework

Transformational leadership, social network and enterprise performance of high tech enterprises in China: Basis for a corporate performance improvement model

Transformational leadership, social network and enterprise performance of high tech enterprises in China: Basis for a corporate performance improvement model

Returnee employees or independent innovation? The innovation strategy of latecomer countries: Evidence from high-tech enterprises in China

Building on resource- and knowledge-based theories, this study examines the effect of returnee employees and independent innovation on research and development (R&D) investment and innovation performance in Chinese high-tech enterprises. For this purpose, we use the data from 314 high-tech enterprises in China. Based on the findings, employees moderate the relationship between R&D investment and innovation performance, indicating that the foreign advanced technical knowledge brought by returnee employees can facilitate R&D activities and improve innovation performance. In addition, the moderating effect of returnee employees on R&D investment and innovation performance is affected by independent innovation, while such innovation attenuates the impact of returnees on innovation activities. Since limited attention has been paid on the effect of returnees on such activities, we enrich the existing literature by examining their moderating effect. Moreover, the combined effect of returnee employees and independent innovation contributes to a better understanding of how to effectively apply such innovation in an emerging economy.

Narcissistic rivalry and admiration and knowledge hiding: mediating roles of emotional exhaustion and interpersonal trust

PurposeDrawing on threatened egoism theory, tournament theory and the extended agency model of narcissism, this paper aims to compare the effects of two different forms of grandiose narcissism of employees, namely, narcissistic rivalry (NR) and narcissistic admiration (NA), on knowledge hiding (HIDE), and investigate the potential mediating mechanism and boundary conditions.Design/methodology/approachBased on a three-wave survey of 296 participants recruited from six high-tech enterprises in China, the paper tests the proposed model by performing partial least squares structural equation modeling and a bias-corrected bootstrapping procedure.FindingsThe results indicate that NR facilitates knowledge hiding, while NA inhibits employees’ knowledge-hiding behavior. Emotional exhaustion plays a significant mediating role between NR and HIDE, and interpersonal trust negatively mediates the relationship between NA and HIDE. Moreover, interactional justice perception not only weakens the positive correlation between NR and emotional exhaustion but also weakens the indirect influence of NR on HIDE via emotional exhaustion. On the contrary, interactional justice perception strengthens the impact of NA on interpersonal trust, thus enhancing the mediating effect of NA on HIDE.Originality/valueThe present study expands the literature on knowledge management by addressing the underlying paradoxes of grandiose narcissistic employees’ HIDE behavior based on different connotations of narcissism and revealing the intervening mechanism with interactive justice perception as the moderator.

Coupling synergy calculation between innovation and ethical responsibility for high-tech enterprises from the perspective of responsibility innovation

This paper aims to analyze the coupling coordination degree of technology, economy, social responsibility, and ethic of technological innovation in high-tech enterprises, and provide basis for the optimization of technological innovation system structure in high-tech enterprises. Using data of high-tech enterprises in China Statistical Yearbook and China Statistical Yearbook of Science and Technology in 2018, the authors applied Cloud model to index transformation, consistent fuzzy preference relations to determine index weights, coupling degree model to measure the coupling degree of responsible innovation system of high-tech enterprises in China. Research results show that the responsible innovation system of China’s high-tech enterprises in 2018 is in a low degree of coordination and coupling stage, and the high-tech enterprises in China invest relatively little in technical level, social development, and ethical innovation. This research contributes to the literature on responsible innovation, ethical responsibility in the high-tech enterprises, which is conducive to improving the quality of innovation activities. However, this research collected data from a single country at a single point in time. This paper studies from the perspective of responsible innovation and measures the coupling degree between innovation and ethical responsibility of high-tech enterprises. The establishment of coupling analysis model can not only effectively calculate the coupling degree of technological innovation system, but also deeply analyze the shortcomings of each subsystem of technological innovation system, and provide a basis for the formulation of promotion strategy.

Corporate social responsibility, financing capacity and innovation investment -- an empirical analysis based on a-share listed high tech enterprises

ABSTRACT Over the past few years, China’s economy has been on a rapid upswing, and corporate R&D and innovation performance, the first driver of high-quality development, has been considered the key to achieving a breakthrough in China’s economic development. At the same time, the ability of companies to assume social responsibility while operating has been the focus of public attention. This study examines the impact of taking social responsibility on the ability of enterprises to invest in innovation. This study uses A-share high-tech enterprises in China from 2017–2019 as the research sample and uses ordinary least squares (OLS) to conduct the analysis. The results illustrate that shouldering social responsibility is a facilitator of innovation investment, and external financing can enhance the facilitation effect of CSR on innovation investment.

The Influence of Organizational Social Network on Enterprise Collaborative Innovation—Mediating Role of Knowledge Sharing and Moderating Effect of Digital Construction

This paper mainly discusses the influence of organizational social network on enterprise collaborative innovation, as well as the intermediary role of knowledge sharing and the regulatory role of digital construction. Based on social exchange theory and social cognition theory, an integration model of organizational social network influencing enterprise collaborative innovation is constructed. The hierarchical regression analysis was used to sample the high-tech enterprises in China’s Yangtze River Delta. Statistical analysis of 212 questionnaires was performed using SPSS and AMOS. It is found that organizational social network has a significant positive impact on enterprise collaborative innovation. Knowledge sharing plays a partially mediating role in the relationship between the organizational social network and enterprise collaborative innovation. Digital construction positively moderates the relationship between organizational social network and enterprise collaborative innovation. In general, In general, the research findings show that improving the construction of organizational social networks and enhancing employees’ knowledge sharing behavior can improve enterprises’ collaborative innovation ability. In addition, in the context of highly digital construction, the effect of organizational social networks on improving enterprise collaborative innovation is more obvious.

Research on the Influence of Trade Friction on the Innovation of High-tech Enterprises in China

This paper empirically examines the impact of trade frictions on R&D innovation in Chinese high-tech firms based on the data of three batches of the list of U.S. tariffs on Chinese exports in 2018 and the data of listed companies from 2007 to 2020, using the event of U.S. tariffs on Chinese goods as a quasi-natural experiment. It is found that:trade frictions have a negative impact on high-tech enterprises, mainly through the “cost effect” and “Schumpeter effect” to inhibit innovation.

Analysis of Investment Decision of High-tech Enterprises in China

Since the reform and opening up, China's high-tech enterprises have been developing at an increasingly rapid pace and have now become an indispensable and important component of China's national economy. With the development of the current market economy, the capital market has been improved and scientific and technological innovation has rocketed upward. Beginning with high technology, knowledge and technology-intensive high-tech enterprises have been developing and gradually become the driving force and orientation of economic development. High-tech has also become an important symbol of the comprehensive economic strength and competitiveness of countries and regions. The banner of "developing high technology and realizing industrialization" provides policy support for the development of high-tech enterprises. At the same time, the development of knowledge economy and the improvement of capital market have strongly promoted the development of high-tech enterprises. In the current market competition, investment decision is the necessary prerequisite for the creation and accumulation of wealth to meet the sustainable development of enterprises; at the same time, investment decision is the source of maximizing enterprise value. For the development of a company, choosing the right small industry to finance is a very important thing. If the industry chosen or the newly developed company is not well managed resulting in serious economic losses, the investment will be accompanied by heavy losses for the investing company. From this point of view, the decision makers or the team of the company play a pivotal role in the development of the company. Not only for the future economic benefits of the company or for what kind of development path or whether the investment is reasonable have a particularly important role. This paper will take Xiaomi Technology Co., Ltd. as an example, focusing on the analysis of Xiaomi Technology's economic decision-making problems, through the analysis and solution of existing problems to promote the unification of the company's economic and social benefits, to achieve the purpose of improving the company's social competitiveness, and better in China's high-tech enterprises based.

How does risk-taking affect the green technology innovation of high-tech enterprises in China: the moderating role of financial mismatch.

As a core driver for the high-tech enterprises, green technology innovation is crucial, even with high financial risk. Against this background, this paper empirically examines the impact of risk-taking on green technology innovation of high-tech enterprises, taking Chinese A-share listed companies from 2007 to 2020 as the research sample and considering the moderating effect of financial mismatch. Findings show the following: First, the effect of risk-taking on green technology innovation of high-tech enterprises is insignificant in most cases, and the inhibitory effect of financial mismatch is partly supported. Second, financial mismatch only counter-regulates the inhibitory effect of systematic risk-taking on the number of invention patents granted in the eastern sample. Third, the effect of risk-taking on green technology innovation is significantly heterogeneous in terms of property rights and regional heterogeneity, regardless of considering the moderating effect of financial mismatch or not. Finally, the policy implementations point out that the government should create a favorable investment environment, financial institutions should adjust the way of capital allocation, while high-tech enterprises should broaden the financing channels to enhance their risk-taking ability, and promote green technological innovation to achieve high-quality economic development.

Innovative work behavior in high-tech enterprises: Chain intermediary effect of psychological safety and knowledge sharing.

This study aims to explore the relationship between organizational innovation climate (OIC) and innovative work behavior (IWB), using psychological safety (PS) and knowledge sharing (KS) as mediating variables. Based on the social cognitive theory (SCT), this study proposes a conceptual framework to explore innovative work behavior. The structural model of the extended SCT model was tested using sample data from 446 R&D staff of high-tech enterprises in China. SPSS 25.0 and AMOS 23.0 were used to test the hypothetical model. The results indicated that organizational innovation climate was positively correlated with psychological safety and innovative work behavior. Psychological safety was positively correlated with innovative work behavior. Knowledge sharing was significantly and positively correlated with innovative work behavior. Moreover, Psychological safety and knowledge sharing play a significant mediating role in the relationship between organizational innovation climate and innovative work behavior, and psychological safety further improves individual innovative work behavior by influencing knowledge sharing among research team members. At the end of the study, this study thoroughly discussed the conclusions, practical implications, limitations, and future research directions of the study.

The current situation and existing problems of innovation management mechanism in high-tech enterprises in China and Russia

The article is to clarify the current development level and existing problems of the innovation management mechanism of high-tech enterprises, take Chinese and Russia high-tech enterprises as research object to conduct comparative analysis.Most of the previous literature only studies the statistical indicators level of innovation, or only studies the management mechanism of high-tech enterprises. This article linking 2021 GII analysis with high-tech enterprise development situation, reveal the current situation and problems of the management mechanism of high-tech enterprises.Through data and comparative analysis shows the latest statistical indicators of the level of innovation of China and Russia. Point out the problems existing and the key reasons cause the slow development of high-tech industries. And has made a comparative analysis of China and Russia shows similarities and uniqueness between the two countries.This article can help high-tech enterprises to identify the problems and areas that need improvement in the current situation. It is also of great reference signifi cance for governments to think about future investment directions and policy formulation. Scholars who are interested in research on innovation management of high-tech enterprises, regional economic research, and 2021 global innovation indicators would get useful information from this article.