Innovation Capability Of Enterprises Research Articles

Research on the Driving Mechanism of Intelligent Renovation and Digital Transformation in Traditional Enterprises

Intelligent renovation and digital transformation have become effective paths for traditional enterprises to enhance their core competitiveness. The rapid and extensive application of digital technology has become a crucial catalyst for the transformation and upgrading of the manufacturing industry. This digital transformation not only enhances production efficiency, product quality, and cost reduction but also boosts the competitiveness and innovation capabilities of enterprises. In this study, in-depth interviews were conducted with personnel at various levels of 30 traditional enterprises, utilizing grounded theory to extract significant factors that influence enterprise digital transformation. A theoretical model was developed, identifying environmental changes as external factors impacting enterprise digital transformation, and internal driving forces including enterprise resources, entrepreneurial spirit, employee involvement, enterprise capabilities, and strategic planning. Through comprehensive research on the driving mechanism of digital transformation in traditional enterprises, this study proposes effective strategies and path choices for enterprises. These include “government-enterprise collaboration” and “industry chain collaboration” along with “strengthening the foundation” and “enhancing capabilities.” The aim is to promote successful intelligent renovation and digital transformation among traditional enterprises.

Innovation Capability and Sustainable Performance Through Knowledge Management in Small and Medium-sized Enterprises

Knowledge management (KM) across organizations is based on the realization that integrating knowledge or more broadly intellectual capital (IC) both inside and outside the enterprise helps enhance the innovation capability (INC) and sustainable performance (SUP) of enterprises. The purpose of this study is to examine the effects of internal intellectual capital (IIC), external intellectual capital (EIC), and social capital (SOC) on INC and SUP through KM in SMEs. The survey questionnaire was sent to managers working in Vietnamese SMEs. SPSS and AMOS software were used for data analysis. The results indicate that IIC, EIC, and SOC have positive impacts on the INC and SUP of SMEs through KM activities. These findings hope to be useful for scholars and especially SME owners to understand more thoroughly the relationships between IC, SOC, and KM, as well as the influence of these relationships on INC and SUP, while providing new insight and useful suggestions for owners of SMEs in acquiring and exploiting knowledge from outside to fill knowledge gaps within the enterprise.

How to Improve an Enterprise’s Innovation Capability from the Perspective of High- and Low-Level Enterprises Using Fuzzy-Set Qualitative Comparative Analysis

An enterprise’s capability is based on the quantity and collocation pattern of the heterogeneous resources it possesses. Innovation resources are the source of enterprise innovation capability. However, there is still a “black box” problem of the impact of the intensity of government support on enterprise innovation. Therefore, it is necessary to study high- or low-level enterprise innovation capability by combining the internal and external factors of the enterprise—the background characteristics of R&D personnel and the degree of government support. Based on the configuration perspective, this study uses the qualitative comparative analysis (fsQCA) method to conduct a comparative analysis of the innovation capabilities of enterprises in five time windows over six years with the longitudinal database of China’s industrial enterprises whose operating income exceeds RMB 20 million from 2010 to 2015. This paper summarizes two ways of realizing high-level enterprise innovation capability: female and highly educated R&D personnel type, and highly educated R&D personnel and high government investment type. The enterprise innovation capability is affected simultaneously by multiple conditional variables, and the impact of each conditional variable on enterprise innovation capability has a trend. Further, it analyzes the impact of every antecedent variable comparing high- to low-level enterprise innovation.

Research on the impact of industrial innovation determinants in China

ABSTRACT China's industries have been positioned at lower and mid-range of the global industrial chain. On the basis of the latest China Economic Census, the effects of external technology acquisition and internal research and development (R&D) efforts on the innovation performance of Chinese industrial enterprises are examined. The results demonstrate that the levels of R&D intensity, patent output and innovation capability of Chinese industrial enterprises are still very low. Independent R&D has become the most vital source of technological innovation. External technology acquisition significantly inhibits the impact of internal R&D on patent production. In addition, the critical role of independent R&D in the innovation performance of Chinese industrial enterprises is confirmed. This study is of theoretical value and practical significance for promoting the industrial innovation advantages, accelerating the implementation of the innovation-driven development strategy and upgrading industrial structure.

Study on the impact of digital transformation on the innovation potential based on evidence from Chinese listed companies

Digital transformation has emerged as a powerful force in reshaping the business landscape and enabling organizations to enhance their capabilities. One critical aspect of this change is how it impacts an enterprise’s innovation ability. To explore this question, we select data regarding China’s A-share listed enterprises from 2007 to 2021 as the research sample. We employ crawler technology to gather keywords related to “digital transformation” from annual reports, portraying detailed journeys of enterprises’ digital transformation. Through descriptive statistics and multiple covariance tests, a linear relationship is established between digital transformation and innovation ability. Benchmark regression is conducted and a robustness test is utilized to determine the robustness of the benchmark regression. The mechanism, heterogeneity, and moderating effects of this study are also tested. The results reveal that digital transformation makes a significant positive contribution to the innovation capability of enterprises. Meanwhile, among different types of enterprises, the impact of digital transformation on enterprise innovation capability shows heterogeneity. In terms of the impact mechanism, digital transformation can enhance the innovation output of enterprises by reducing the agency cost and improving the risk-taking level of enterprises, so as to further improve the innovation capability of enterprises. The research results of this paper provide essential theoretical support for the digital transformation of enterprises and the government’s formulation of enterprises’ digitalization strategies. More profoundly, it provides significant reference for how to further promote the digital transformation of Chinese enterprises.

Enterprise technological innovation capability evaluation using a spherical fuzzy number based CSM-EDAS model

With the rapid development of science and technology, the flow of information has become more convenient, and society has entered the era of knowledge economy. In this era, technological innovation capability is becoming increasingly important and has become an important weapon for enterprises to survive in fierce competition, especially for technology-based small and medium-sized enterprises. Nowadays, technology-based small and medium-sized enterprises have developed many technological innovation achievements through continuous technological innovation, and have created a large number of high-tech products and services. Technological innovation has been proven to effectively improve the core competitiveness and economic benefits of technology-based small and medium-sized enterprises. Therefore, evaluating the technological innovation capabilities of technology-based small and medium-sized enterprises has both theoretical and practical significance. The enterprise technological innovation capability evaluation from a low carbon perspective could be deemed as the multiple attribute group decision making (MAGDM) problem. Recently, the evaluation based on distance from average solution (EDAS) technique and cosine similarity measure (CSM) technique has been employed to manage MAGDM issues. The spherical fuzzy sets (SFSs) are used as an efficient tool for portraying uncertain information during the enterprise technological innovation capability evaluation from a low carbon perspective. In this paper, the spherical fuzzy number EDAS based on the CSM (SFN-CSM-EDAS) technique is cultivated to manage the MAGDM under SFSs. Finally, a numerical study for enterprise technological innovation capability evaluation from a low carbon perspective is supplied to validate the proposed technique. The main contributions of this paper are outlined: (1) the EDAS and CSM technique was extended to SFSs; (2) the CRITIC technique is used to derive weight based on CSM technique under SFSs. (3) the SFN-CSM-EDAS technique is founded to manage the MAGDM under SFSs; (4) a numerical case study for enterprise technological innovation capability evaluation from a low carbon perspective and some comparative analysis is supplied to validate the SFN-CSM-EDAS technique.

How green industrial policy affects the constancy of green technology innovation: a fresh proof from the innovation motivation perspective

Green industrial policy is an important means to achieve coordinated development of the environment and industry. Enterprises are the primary bodies involved in the green transformation of the market. Thus, it is important for governments and policymakers to recognize the micro-effects of policy implementation on enterprise innovation. From the perspective of the green-tech innovation motivation of enterprises, this study distinguishes green enterprises using text mining analysis methods. Based on propensity score matching (PSM) samples and using panel data from 1,391 listed enterprises in China for the period of 2008–2019, a log log survival analysis model was constructed, and the effectiveness of green industrial policy on the green-tech innovation constancy of enterprises was dynamically analyzed. The results demonstrate that enterprises supported by the green industrial policy can significantly reduce the risk rate of stopping green-tech innovation constancy. Green industrial policy can significantly improve the constancy of the green technological innovation capabilities of enterprises. The innovation constancy of state-owned enterprises is higher than that of private enterprises. Furthermore, intermediary effect tests indicate that different types of green industrial policies stimulate enterprises to generate different innovation motivations. Command-control policies can promote substantive innovation constancy through the industrial competition effect and exert a significantly positive effect. Market-oriented policies can induce enterprises to perform strategic innovation constancy through fiscal incentives and financial investment effects and can produce significant negative effects. Based on these findings, this study proposes improvements in the policy construction of a long-term mechanism to strengthen the substantive innovation of enterprises. This study provides a theoretical basis and policy reference for improving the incentive efficiency of green industrial policies and promoting constant enterprise innovation under the Green and High-Quality Development Goals of China.

The impact of equity incentive on the innovation ability of Listed Enterprises

Equity incentives address the limitation of short-term incentive effects associated with salary incentives and contribute significantly to enhancing the innovation capabilities of key employees. This paper focuses on A-share manufacturing listed companies from 2018 to 2022 to examine the impact of equity incentives on enterprise innovation abilities. The findings demonstrate the positive influence of equity incentives on enterprise innovation capabilities, particularly for core employees. Furthermore, there exists a positive correlation between the level of equity concentration and the innovation abilities of enterprises.

How Double-Carbon Policies Affect Green Technology Innovation Capability of Enterprise: Empirical Analysis Based on Spatial Dubin Model

How Double-Carbon Policies Affect Green Technology Innovation Capability of Enterprise: Empirical Analysis Based on Spatial Dubin Model

The Impact of Emerging Technologies in the Aviation Manufacturing Industry: A Case Study of the Gradual-Change Factors in Shaanxi, PR China

As China’s economy becomes more robust, the government has emphasized the need to increase the civil aviation industry’s rapid development and reduce civil aviation’s technological gap compared to other advanced aircraft manufacturers. The use of the appropriate technologies in the aviation industry can help achieve the government’s plan of creating more jobs and increasing its revenue through the civil aviation industry. However, emerging technologies’ uncertainty and dynamic nature have led to significant challenges when these technologies are applied to the aviation manufacturing industry. This article applies the principles and methods of system dynamics based on the gradual-change factors of emerging technologies as identified through expert interviews to construct conceptual models depicting the gradual-change of emerging technologies in the aviation manufacturing field. Historical data from Shaanxi province were used to simulate and analyze the gradual development of emerging technologies. An analysis of the simulation results revealed that the rapid growth of competitive technologies in the growth process inhibits the gradual-change of emerging technologies. Also, increasing enterprise innovation capabilities, market demand expansion, and technology optimization significantly promote emerging technologies’ development and application. Furthermore, the research result shows that competitive products and technologies influence the gradual development of emerging technologies. Finally, the results indicate that the civil aviation industry should optimize the performance and function of emerging technologies during the early development stage instead of at the market application stage.

Digital transformation and enterprise sustainable development

In the context of the digital economy, digital transformation has become an inevitable measure for enterprises to adapt to the market. Based on the panel data of Chinese listed companies from 2012 to 2022, this study examines the relationship between enterprise digital transformation and enterprise sustainable development, as well as the mediating role of enterprise core competence between the two. The study shows that enterprise digital transformation has a significant and positive impact on enterprise innovation capability, indirectly contributing to the sustainable development of enterprises. These conclusions remain valid after the robustness test. The study expands the perspective of enterprise sustainable development research and provides useful reference for promoting China's enterprises to achieve sustainable development under the economic "new normal."

Research on the impact of the integration of digital economy and real economy on enterprise green innovation

Enhancing the green innovation capability of enterprises holds pivotal significance in achieving the “dual carbon” target. The integration of digital economy and real economy provides new ideas for promoting green innovation in enterprises. Based on the Chinese A-share listed companies panel data from 2011 to 2022, this paper empirically tests the impact of the integration of the digital economy and real economy on enterprise green innovation. The results show that integrating the digital economy and the real economy significantly positively affects green innovation. Improving the integration level of the digital and real economies is conducive to promoting green innovation. Intrinsic mechanisms show significant mediating effects on financing constraints, enterprise digital transformation, and corporate social responsibility. The integration of the digital and real economies can promote enterprise green innovation by alleviating enterprise financing constraints, driving enterprise digital transformation, and promoting corporate social responsibility. Heterogeneity analysis shows that the impact of integrating the digital and real economies on enterprise green innovation affects state-owned enterprises more than private enterprises. The effect on small enterprises is significantly positive at the 1 % confidence level; however, the impact on the green innovation of large enterprises is not significant.

Manufacturing breakthrough: analysing the differential effect of digital transformation on continuous innovation capability in enterprises

ABSTRACTThis study explores the relationship and influence mechanism between digital transformation and continuous innovation capability of enterprises, which shows that digital transformation promotes continuous innovation capability by enhancing corporate social responsibility, while the degree of fair competition in the market strengthens the relationship between digital transformation and continuous innovation capability. Data are derived from listed manufacturing industries in China from 2008 to 2020. The Heckman two-stage model is used to analyse the impact of digital transformation decisions on continuous innovation capability. Counterfactual estimation provides the average treatment effect of digitally transforming firms compared to non-digitally transforming firms. Empirical findings suggest that non-state-owned firms whose digital transformation multiplies the effect of continuous innovation capability, while state-owned firms do not benefit as much as expected; digital transformation has a better effect on improving the continuous innovation capability of high-tech firms than of non-high-tech firms.

How do tax reductions motivate technological innovation?

The main approach to promoting high-quality development lies in fostering self-reliance and self-improvement in science and technology, as well as enhancing the technological innovation capabilities of enterprises. In the new stage of moving from imitation to innovation, tax reduction plays an important role in promoting enterprise technological innovation. This article uses the data of A-share listed companies from 2008 to 2019 to explore the mechanism of how tax reduction exerts its core role in innovation. The findings indicate that tax cuts have a stimulating effect on firms’ research and development (R&D) innovation. These results hold true even after accounting for tax evasion and R&D manipulation behaviors. The mechanism analysis reveals that the incentive effects of tax cuts are realized through financing, specialized divisions, and the creation of added value. Notably, the “financing effect” exhibits a path dependence among high-tech enterprises. Furthermore, in terms of tax preferential policies, the “R&D expenses plus deduction” policy demonstrates the most significant incentive effect, while the “15% tax rate preference” is less effective than initially anticipated. However, the combined effect of both policy types proves to be significant in promoting R&D innovation, thereby enhancing the impact of a single-policy approach. Nevertheless, a structural phenomenon regarding the incentive effect on the input and output sides is observed. Through empirical analysis, this paper not only presents fresh ideas for improving tax reduction policies and unleashing the potential of scientific and technological innovation, but also offers essential insights for facilitating technological catch-up and achieving high-quality economic development.

Evaluation of technology innovation efficiency for the listed NEV enterprises in China

China’s New Energy Vehicle (NEV) industry has entered an accelerated development stage, with the technology innovation efficiency becoming an essential factor affecting the speed of its development. Therefore, to explore ways to improve the efficiency of technology innovation, this paper divides the technology innovation process into two stages: the research and development (R&D) stage and the commercialization stage. This paper introduces a framework for evaluating the technology innovation efficiency of NEV enterprises based on data envelopment analysis (DEA), meta-frontier, and tobit regression. Then, the technology innovation efficiencies of 45 vehicle, battery, and motor & electronic control NEV enterprises are analyzed. The results show that: (i) During the survey period, the overall technology innovation capability of Chinese new energy vehicle enterprises is not strong, especially regarding economic transformation. However, the general development trend is on the rise. (ii) Different types of enterprises have different technology gap ratios in the two stages. The technology innovation efficiency level of motor and electronic control enterprises is relatively weak in the new energy vehicle industry. (iii) Many measures can be implemented to help improve technology innovation efficiency: encouraging the large-scale development of enterprises, reasonably increasing the shareholding ratio of significant shareholders, improving the ratio of capital investment, stimulating the vitality of innovation within the enterprise, and optimizing the number of employees.

How entrepreneur power affects entrepreneurial firms’ innovation efficiency in the face of inconsistent governance composition

ABSTRACT Improving innovation efficiency is the key to enhancing the innovation capability of enterprises. Based on the perspectives of leader power configuration and innovation process, this study analyses the impact that entrepreneur power has on the innovation efficiency of entrepreneurial firms. Panel data on entrepreneurial firms in China's Growth Enterprise Market are evaluated, and we apply an empirical panel stochastic frontier modelling and random-effects negative binomial regression. The results from the entrepreneurial firms indicate that innovation efficiency could be improved by the multi-role playing of powerful entrepreneurs amid the innovation activities. Additionally, organisational risk-taking tolerance moderates the entrepreneur power-innovation efficiency association. With the increase in the number of large shareholders, the positive impact of organisational risk-taking tolerance on the entrepreneur power-innovation efficiency relationship is strengthened. Robustness checks substantiate the veracity of our empirical results.

Empirical Research on the Impact of Technological Innovation Capabilities of Small and Medium-sized Enterprises on Technological Performance - Focusing on the Role of Regulating Absorption Capacity -

Empirical Research on the Impact of Technological Innovation Capabilities of Small and Medium-sized Enterprises on Technological Performance - Focusing on the Role of Regulating Absorption Capacity -

Research On the Impact of Green Finance on Enterprise Innovation

With the rapid development of China's economy, the unique high input and high consumption of the extensive growth model has brought great negative impacts on the environment. China has begun to explore sustainable and high-quality development models, and how to effectively promote enterprise innovation and improve enterprise innovation capabilities has become an urgent problem that needs to be solved. This article selects manufacturing companies in the Chinese A-share market from 2012 to 2021 as research samples and uses a fixed effects model to study the relationship between green finance and enterprise innovation. The results show that green finance can effectively alleviate the problem of enterprise funding shortage, support enterprise innovation, and improve innovation output. Finally, this article proposes corresponding policy recommendations to encourage the country to continuously play the important role of green finance in deepening China's economic reform.

The Influence of Workplace Envy on Employees' Knowledge-Hiding Behavior Based on a Comparative Analysis between Generation Cohorts.

How to promote the free flow of knowledge among employees is the core factor used to improve the innovation ability and even competitive advantage of an organization. Research on how to reduce knowledge-hiding behavior and promote knowledge sharing among employees becomes the key to enhancing the technological innovation capability of enterprises and effectively responding to the VUCA environment at present. Based on social comparison theory and regulatory focus theory, this study uses 402 enterprise employees as samples to deeply study the influence mechanism of workplace envy on their knowledge-hiding behavior and compare the differences between new-generation employees and non-new-generation employees. The research results show that: (1) employee's benign envy has a significant negative effect on knowledge-hiding behavior, while malicious envy has a significant positive effect on knowledge-hiding behavior. (2) Promotion regulatory focus plays a partly mediating effect between benign envy and employee knowledge-hiding behavior, while prevention regulatory focus also plays a partly mediating effect between malicious envy and employee knowledge-hiding behavior. (3) Generation not only has a positive moderating effect on the relationship between benign envy and promotion regulatory focus but also has a positive moderating effect on the relationship between malicious envy and prevention regulatory focus. This study further found that the younger the employee generation cohort, the more substantial the effect of benign envy on the promotion regulatory focus, while the older the employee generation cohort, the more substantial the effect of malicious envy on the prevention regulatory focus.

Industrial robots and firm productivity

Industrial robotics has become a driving force in the development of high-quality manufacturing enterprises. This paper investigates the impact of industrial robotics on the total factor productivity of enterprises and its mechanism of action through the use of data from A-shares of Chinese companies listed on the Shanghai and Shenzhen exchanges from 2007 to 2019. We found that the use of industrial robots significantly increases the total factor productivity of enterprises, findings that still hold when Bartik instrumental variables are constructed. The mechanism of action suggests that industrial robot application improves both the human capital structure and the innovation capability of enterprises, thus increasing total factor productivity. Heterogeneity analysis shows that industrial robot applications are more likely to increase total factor productivity in firms that are non-state-owned and small scale and have political affiliations, low market concentration, low financialization, and high managerial competence. The findings of this study will help to accurately assess the productivity effects of industrial robotics, and the government should continue to promote the integration of industrial robotics and manufacturing development and actively cultivate independent innovation capabilities and professional skills in the field of industrial robotics in order to increase total factor productivity in enterprises.