Chinese High-tech Enterprises Research Articles

How Employee Career Sustainability Affects Innovative Work Behavior under Digitalization

The increasing adoption of cutting-edge technologies, such as cloud computing and machine learning by robots that replace human workers, has posed serious challenges to employees’ career sustainability (CS), affecting their innovative work behavior (IWB). As the digitalization of the workplace continues to progress as normal, further investigations into the relationship between CS and IWB are urgently required. In response, we investigate the relationships among CS, IWB, human capital (HC), and user resistance (UR). Using data collected from 537 employees in Chinese high-tech enterprises, structural equation and regression analyses were performed. Our results reveal that (1) three dimensions of CS (career renewability, career flexibility, and career integrity) are positively related to IWB, while the fourth dimension of CS (career resourcefulness) exerts inverted U-shaped influences on IWB, and (2) there is a significant dual moderating effect between UR and HC on the four dimensions of CS and IWB, with the former demonstrating a negative effect and the latter showing a positive effect. These findings offer valuable insights for global managers and policymakers to more appropriately implement HR practices in this highly competitive international market. Adopting a conservation of resources theory (COR) framework and the Job Demands–Resources model (JD-R), we theoretically elucidate how different dimensions of CS serve as personal resources for IWB in the digitalized context, thereby enriching the literature on innovative behavior and career development.

Configurational pathways to innovation capability enhancement in high-tech enterprises: a perspective from technological innovation network

PurposeHigh-tech enterprises, as the national innovation powerhouses, have garnered considerable interest, particularly regarding their technological innovation capabilities. Nevertheless, prevalent research tends to spotlight the impact of individual factors on innovative behavior, with only a fraction adopting a comprehensive viewpoint, scrutinizing the causal amalgamations of precursor conditions influencing the overall innovation proficiency of high-tech enterprises.Design/methodology/approachThis paper employs a hybrid approach integrating necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA) to examine the combinatorial effects of antecedent factors on high-tech enterprises' innovation output. Our analysis draws upon data from 46 listed Chinese high-tech enterprises. To promote technological innovation within high-tech enterprises, we introduce a novel perspective that emphasizes technological innovation networks, grounded in a network agents-structure-environment framework. These antecedents are government subsidy, tax benefits, customer concentration, purchase concentration rate, market-oriented index and innovation environment.FindingsThe findings delineate four configurational pathways leading to high innovative output and three pathways resulting in low production.Originality/valueThis study thereby enriches the body of knowledge around technological innovation and provides actionable policy recommendations.

Talent Incentive Policy of Chinese High-tech Enterprises from the Perspective of Industrial Informatization Intervention

Priority development of education is the fundamental guarantee for the construction of high-level talent highlands. Technological self-reliance and self-improvement are strategic support for the construction of high-level talent highlands, and talent innovation guidance is the intrinsic driving force for the construction of high-level talent highlands. The construction of a high-level talent highland in the Guangdong Hong Kong Macao Greater Bay Area requires the integration of innovative elements that connect the “education chain, technology chain, and talent chain”. It is necessary to build a three-dimensional integrated spatial architecture of “education technology talent”. We need to build a community that integrates “education highland, technology highland, and talent highland”. Accelerating the construction of high-level talent highlands in the Guangdong Hong Kong Macao Greater Bay Area requires the construction of a highland for scientific and technological innovation talents, a highland for technical and skilled talents, and a highland for scientific and technological finance talents. Based on this, this article selected 399 listed high-tech enterprises in the Greater Bay Area as the research objects, and conducted multiple regression on the relevant data of sample enterprises from the perspective of property rights heterogeneity from 2018 to 2021 to reveal which open innovation model can effectively solve specific situational problems faced by enterprises. The multi role matching mechanism can effectively improve the performance of new product development and its market competitive advantage of enterprises, as well as how the nature of property rights affects the relationship between open innovation strategies and new product development performance of enterprises. The research results show that, firstly, open innovation between enterprises is beneficial for the precise improvement of product development performance by high-level talents in enterprises. Secondly, open innovation in industry, academia, and research is beneficial for improving talent performance in enterprises, but its effect is weaker than that of open innovation between enterprises. Enterprises focus more on the open innovation model between enterprises.

Exploring the impact of team psychological capital on employee green innovation within the ecosystem-oriented business models in China

ABSTRACT Green innovation is an important strategic choice for realizing an ecosystem-oriented business model. This study explores the effect of psychological capital on green innovation behaviour. Based on 381 questionnaire survey data collected from Chinese high-tech enterprises from September 2022 to March 2023, an empirical study was conducted using the mixed analysis method of SPSS and AMOS. The results show that there is a significant positive correlation between psychological capital and green innovation behaviour, and knowledge hiding moderates the relationship between the two. These findings enrich the theory of green innovation and provide an important reference for the development of enterprises.

Returning from overseas: STEMs migration and corporate digitalization

This paper investigates the spillover effect of cross-border migration of STEMs from the U.S. on corporate digitalization. Using a sample of Chinese high-tech enterprises (HTEs), we find that the cross-border migration of STEMs promotes the HTEs' digitalization. The talent attraction effect from the labor market and the market competition effect from the product market are proven to be two crucial channels. Further tests show that the spillover effect is more pronounced in samples with lower labor adjustment cost, higher employee care, and better employment environment. Finally, the above effect contributes to the high-quality development of HTEs. This paper verifies the impact of cross-border migration of human capital on corporate digitalization from the perspective of labor incentives, we provide policy insights for policymaker to seize the opportunity to bring in overseas STEMs.

Enhancing Sustainable Organization Performance: Investigating the Mediating Influence of Innovative Work Behavior and its Associated Factors

Purpose–In 2022, the report of the 20th National Congress of the Communist Party of China, the Chinese government set improving the efficiency of the national innovation system as the primary goal and high-quality development as the primary task of building the country. To become a country based on science and technology and innovation and adhere to the path of sustainable development, innovative talents are needed to master the formation of science and technology and transform the results of innovation. The problem is that innovative human resources play a central role. Without talents with innovative work behaviors, it will be difficult to achieve the country's grand vision. Many scholars and business managers have clearly pointed out that innovative talents play a core and key role, whether in a country or an organization. Stimulating and promoting innovative work behaviors is the key for all enterprises and organizations to maintain competitive advantages. It is also the need for our country to implement and adhere to the sustainable development path under the many uncertain environmental challenges today. The main purpose of this study is to reveal the factors that influence innovative work behavior and the impact of innovative work behavior on the sustainable performance of enterprises and organizations. The goal of this article is to explore this issue in depth. Design/methodology/approach–This study adopts quantitative research method. Data was collected by the questionnaire Star questionnaire collection software by issuing questionnaire links and questionnaire two-dimensional code. Structural equation modeling technique was adopted, and SMART-PLS software was used for data analysis. The findings–It indicate that employee satisfaction and work-life balance have a positive impact on innovative work behavior, respectively. Innovative work behavior has a positive influence on the organizations performance in terms of sustainability. Study limitations/implications–The results suggest that employee satisfaction and work-life balance play a critical role in innovative work behavior, respectively, and innovative work behavior has a positive impact on sustainable organizational performance. Therefore, enterprises and organizations should enhance employee satisfaction and work-life satisfaction in order to promote and stimulate employees' innovative ideas and behaviors, improve the sustainable development performance of enterprises, and thus enhance competitive advantages and favorable position. This study was only conducted in developed areas such as Beijing, China, and future researchers can conduct cross-cultural studies in different countries and should use other methods to test current models. Practical significance–Improving the level of employee satisfaction and work-life balance helps to stimulate the generation of innovative work behaviors, thereby promoting the viability and sustainable development level of an organization and enterprise. This research can be extended to Chinese high-tech enterprises and innovative organizations. Only through the investment and interaction of a large number of innovative talents can technological innovation transform innovation results, improve the efficiency and level of innovation, and continuously improve the sustainable performance of enterprises and organizations. Due to the continuous improvement of my country's scientific and technological level, the demand for employees' innovative work behaviors continues to emerge. It is the need of the current era and policy for organizations and enterprises to adhere to the path of sustainable development. Originality/value–Innovative work behavior is a research issue of widespread concern in the current academic world. Domestic and foreign scholars have conducted a large number of studies to sort out the content, concepts, dimensions and impact of innovative work behavior. However, in today's fiercely competitive environment and full of uncertainty, there is a lack of empirical research and practical solutions suitable for promoting employees' innovative work behaviors. There is also a lack of research on the effects of innovative work behaviors and sustainable organizational performance. This study attempts to fill the gap in the current academic research field, design a new theoretical model, and provide constructive theoretical suggestions for enterprises and organizations to promote employees' innovative work behavior and effectively promote sustainable organizational performance.

How External Knowledge Acquisition Contribute to Innovation Performance: A Chain Mediation Model

It has become a common way for enterprises to use external knowledge to reduce the development bottleneck caused by internal resource constraints. How does external knowledge develop inside enterprises and then promote the innovation performance? Drawing upon resource-based view and dynamic capability theory, this study proposes a chain mediation model of how firms’ opportunity identification and R&D, as two distinctive microfoundations of dynamic capabilities, mediate the relationship between external knowledge acquisition and firms’ innovation performance. Through the questionnaire survey of Chinese high-tech enterprises, the results show that both external market knowledge acquisition and external technological knowledge acquisition influence the level of opportunity identification and internal R&D activities, so that the internal knowledge base of the enterprise can be updated or reconstructed, and the innovation performance can be improved. This further confirms that enterprises transform external knowledge with the role of dynamic capabilities, which enriches the research on open innovation from the perspective of dynamic capabilities.

The Influence of Enterprise Innovation on Enterprise Performance: The Intermediary Role of Knowledge Management

This study explores the impact of corporate innovation on corporate performance and the mediating role of knowledge management in this process. Our theoretical framework is based on existing innovation theories and knowledge management theories, proposing two hypotheses: firstly, enterprise innovation has a positive impact on enterprise performance, and secondly, knowledge management plays a mediating role in this process. We tested these hypotheses through empirical analysis of data from Chinese high-tech enterprises. The results show that there is a positive relationship between enterprise innovation and enterprise performance, and knowledge management plays a significant mediating role in this process. These findings have important practical significance for both business managers and policy makers. However, the results of this study may be limited by sample selection and research methods, and future research can attempt to study other types or regions of enterprises, or explore other possible influencing factors.

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.

Home Country Institutions and Legitimacy on Chinese High-Tech MNEs’ Entry Mode Choices: A Conceptual Framework

The institutional factors of the home country play an increasingly important role in the process of the rise of MNEs in developing countries. A Through studies in literature, this paper finds that domestic institutional support and institutional restrictions can effect the entry mode of Chinese high-tech enterprises into the target country's market, and the legitimacy of enterprises in the target country plays an intermediary role between the two. The hypothesized effect of variables and entry mode choice of Chinese high-tech MNEs needs to be tested in future research based on survey data drawn from official sources and questionnaires. This study expanded the theoretical tools that determine the decisions of the FDI entry mode.

Application of business modeling tools in the context of the innovation development of the digital economy in China

With the development of China’s digital economy, a large number of high-tech enterprises have emerged, and the application of business model tools for enterprises has also been innovatively developed. Big data technology has been widely used in business process management. This article analyzed from the perspective of big data to discuss the inovative application of business modeling tools. The article first analyzed the current status of data-driven research in the field of business process management, and expounds the use of big data analysis methods to establish a BPM knowledge base to guide, optimize, and predict the flow of business processes. From the perspective of big data, use the results of data analysis to drive the flow of business processes. The article analyzes and summarizes the core links of building a data-driven BPM. On this basis, the establishment of a data-driven BPM implementation process is described in detail. Finally, the development trend and research challenges of data-driven BPM are given. It has great reference significance for the business process management of Chinese high-tech enterprises in the development environment of the digital economy. At the same time, it also has a certain reference significance for the innovation of business model tools in Russia, helping enterprises to better manage. This article analyzes the application and development of business modeling tools from the perspective of big data, which is in line with the current development direction of the times. At present, most of the literature is studying the construction of BPM process. This article mainly studies the optimization of the process after construction and the processing of data in the process, and gives the development trend and research challenges of data-driven BPM.

Open innovation and sustainable competitive advantage: The role of organizational learning

With intensifying competition and increasing dependence on external partners, open innovation has been becoming an inevitable and prevalent strategy to achieve long-term competitive advantage. Considerable research has investigated the benefit of open innovation, the mechanism through which open innovation translates into sustainable competitive advantage have yet been well examined. Drawing on the strategy-competence-competitive advantage framework and the knowledge-based view, this study examines the role of ambidextrous organizational learning in mediating the relationship between open innovation and sustainable competitive advantage as well as the moderating role of knowledge management capability. Based on data collected from 269 Chinese high-tech enterprises in 2021, we found that open innovation contributes to sustainable competitive advantage through enhancing organizational learning including both exploratory and exploitative learning as well as their balance. Moreover, knowledge management capability positively moderates the relationships of open innovation to exploration and exploitation as well as their combination. Research and practical implications are discussed.

Perceived Organizational Support and Creativity of Science-Technology Talents in the Digital Age: The Effects of Affective Commitment, Innovative Self-Efficacy and Digital Thinking.

BackgroundThe impact of perceived organizational support on the creativity of science-technology talents in the digital era is an important domain for fostering innovation power and the long-term competitive advantage of enterprises. The main purpose of this study is to reveal the “black box” mechanism of perceived organizational support on the creativity of science-technology talents in the digital environment, guide enterprises to attach importance to perceived organizational support and enhance the creativity of science-technology talents.MethodsBased on resource conservation theory and social exchange theory, this study took the science-technology talents of Chinese high-tech enterprises as the research object, combined 380 matching data of science-technology talents and supervisors, and used AMOS, MPLUS, and SPSS software to test all hypotheses.ResultsPerceived organizational support has a significant positive impact on the creativity of science-technology talents, affective commitment and innovative self-efficacy. Affective commitment and innovative self-efficacy have significant positive effects on the creativity of science-technology talents. Digital thinking positively moderates the relationship between perceived organizational support and affective commitment, innovative self-efficacy. Affective commitment and innovative self-efficacy play a moderated mediation role between perceived organizational support and the creativity of science-technology talents.ConclusionPerceived organizational support promotes the creativity of science-technology talents through affective commitment and innovative self-efficacy, which is moderated by digital thinking. These findings not only help deepen and expand the theoretical research on perceived organizational support and creativity, but also inspire managers to guide science-technology talents to work creatively from the aspects of affective commitment, innovative self-efficacy and digital thinking.

Knowledge Sharing Motivation, Behavior, and Creativity of Knowledge Workers in Virtual Organizations

Focusing on the basic research subject of “seeking effective ways to enhance knowledge workers’ creativity,” this paper has surveyed a total of 208 employees from 11 Chinese high-tech enterprises. Based on review and analysis of relevant literature, this paper has constructed a moderating effect model including mediating factors relying on the social cognitive theory and tested the model by hierarchical multiple regression. The results show that there is a significant positive correlation between knowledge sharing motivation and creativity of members in a virtual organization. Knowledge sharing behavior plays a partial mediating role between knowledge sharing motivation and creativity, and self-efficacy moderates the complete mediating effect of knowledge sharing behavior on the relationship between knowledge sharing motivation and creativity. These conclusions enrich the theory of the relationship between knowledge sharing motivation and creativity, and enable enterprises to understand the importance of employees’ knowledge sharing motivation and the ways to stimulate employees’ creativity by activating their knowledge sharing behavior.

Influencing Factors of Enterprise R&D Investment: Post-Subsidy, Sustainability, and Heterogeneity

Sustainable innovation is an important factor for enterprises to obtain core competitiveness in modern society, and only continuous R&D investment can ensure the smooth progress of enterprise innovation. Therefore, this study uses the post-subsidy data of enterprise R&D investment released by Hangzhou Science and Technology Bureau to explore the influencing factors of R&D investment and its sustainability by Chinese high-tech enterprises. In contrast to previous research which mainly focused on the pre-subsidy, this study focuses on the post-subsidy policy of R&D investment sustainability. Empirical analysis methods, such as cross-sectional linear regression and the propensity-score-matching method, were used to draw the following conclusions: (1) The quantity and sustainability of R&D investment of enterprises are obviously unbalanced among regions. Regions where high-tech enterprises are concentrated have higher levels of R&D investment and sustainability than other regions. (2) Under different scales, there are significant differences in the amount and sustainability of R&D investment. Large enterprises have stronger R&D investment strength, while small enterprises have stronger R&D investment willingness. However, the effect of scale on R&D investment will be reduced by regional factors. (3) The evaluation of high-tech enterprises and the enterprises’ R&D investments affect each other. (4) The sustainability of enterprise R&D investment will be affected by enterprise heterogeneity factors, and in turn, the sustainability of enterprise R&D investment will also affect the amount of enterprise R&D investment. Based on the results, the study provides suggestions for the government to make more targeted policies.

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.

The Correlation Analysis Between Financial Subsidy and Research and Development Investment of High-Tech Enterprises Under 6G Environment

In order to improve the competitiveness of high-tech enterprises, the investment in scientific and technological innovation of Chinese high-tech enterprises has been gradually improved. Therefore, the correlation between financial subsidies and research and development investment of high-tech enterprises is analyzed in 6G environment. The incentive form can promote the research and development investment of enterprises and improve the economic benefits of enterprises. Through the research on the relationship between the incentive of senior executives’ shareholding, the allocation of senior executives and the relationship between research and development investment and financial subsidy, the paper analyzes the incentive intensity and the relationship between incentive period and research and development investment. After using the correlation and regression analysis, we can see that incentive can promote research and development investment and strengthen the correlation between research and development investment and financial subsidy.

How OFDI Promotes High-Technology Multinationals’ Innovation: From the Perspective of a Cross-Border Business Model

High-quality innovation in cross-border business models is the focus of innovative development. However, some enterprises are blindly obsessed with focusing on the quantity of innovation, while they neglect the quality of innovation. As a result, the quantity of innovation in cross-border business models is not proportional to the quality, and cross-border business models need continuous improvement. High-quality innovation in cross-border business models is also related to outward foreign direct investment (OFDI) and knowledge absorptive capacity. The purpose of this study is to explore the relationship between OFDI and innovation quality in cross-border business models. This study proposes that knowledge absorptive capacity plays a mediating transmission role between OFDI and innovation quality. Based on panel data for 478 Chinese high-tech multinational enterprises in the period from 2014 to 2019, the paper uses moderated path analysis to construct a non-linear mediated transmission model of knowledge absorptive capacity in terms of the OFDI and innovation quality of high-tech enterprises. The results show that there is an inverted U-shaped relationship between OFDI and innovation quality. Knowledge absorptive capacity plays an inverted U-shaped mediating role in the transmission between OFDI and innovation quality. In a post hoc analysis, it was found that a low degree of OFDI has an inverted U-shaped relationship with innovation quality, and a high degree of OFDI negatively inhibits innovation quality. Therefore, Chinese high-tech enterprises operating cross-border must maintain an appropriate level of OFDI by improving the matching mechanism between OFDI and knowledge absorptive capacity, which is conducive to improving the innovation quality of multinational enterprises in host countries.

Earnings Thresholds in Chinese High-Tech Enterprises: The Role of Corporate Income Tax Incentives

To encourage corporate investment in innovation or R & D and to foster innovative firms, the Chinese government established standards for the certification of high-tech enterprises in 2008. Business entities that meet these standards are entitled to tax deductions. The criteria include the proportion of R & D expenses to sales exceeding a certain percentage in the prior 3 years among different sales in the current year. The purpose of this paper is to investigate whether this criteria influence management’s preferences for an earnings threshold. This study collects data from 2008 to 2018 from the CSMAR database. All of the 1932 listed high-tech enterprises are included, with a total of 7547 samples. The results indicate: sales of 50 - 200 million yuan in the current year and a proportion of R & D expenses to sales in the prior 3 years before manipulating sales or R & D expense; sales above 200 million yuan in the current year, and that most of these firms’ proportion of R & D expenses to sales before manipulating sales or R & D expenses achieved the required ratio to qualify as a high-tech enterprise. Specifically, the results suggest that 88.83% of the listed high-tech enterprises in China focus on R & D activities or innovations, regardless of whether they qualify as a high-tech enterprise according to the Chinese government. However, a few of the samples’ proportion of R & D expenses to sales are below 3% in the prior 3 years when their sales exceed 200 million yuan in the current year before the manipulation of sales or R & D expenses. Of these firms, half have a proportion of R & D expenses to sales exceeding 3% after the manipulation of sales or R & D expenses. Overall, the results also support the presence of prospect theory in Chinese-listed high-tech enterprises, because mangers tend manipulate earnings by adjusting sales or R & D expenses to obtain tax benefits.

Shame on You! When and Why Failure-Induced Shame Impedes Employees' Learning From Failure in the Chinese Context.

The emotional experience brought about by failure, especially the important roles of negative emotions in learning behavior after failure, has received increasingly more attention from organization management scholars. Research on the impact of employees’ sense of failure-induced shame is still controversial. Based on the Chinese context, according to the process model of emotion regulation theory, we have studied the influence of failure-induced shame on employees’ learning from failure and the conditions that have boundary effects on this process. Through a questionnaire analysis of 776 samples from Chinese high-tech enterprises, the results show the following: (1) shame has a negative relationship with learning from failure (2) project commitment alleviates the negative relationship between shame and learning from failure, and (3) restoration orientation alleviates the negative relationship between shame and learning from failure while loss orientation cannot. Our results further enrich the research on negative emotions related to failure and provide a theoretical basis for the failure management of Chinese companies.