Technological Innovation Capability Research Articles

Technological intensity and innovation capability: evidence from an emerging country

Purpose In general, it is believed that firms belonging to the high technological intensity stratum have a more innovation capability. However, evidence has begun to appear in the literature demonstrating that firms in the low-tech stratum also have the innovation capability. This paper seeks to solve this dilemma. Through an analysis of industrial firms in an emerging country, this study aims to identify the existence of innovation capability in all strata of technological intensity. Design/methodology/approach The authors empirically assessed the impact of innovation capability on the performance of firms in all strata of technological intensity. The authors studied a sample of 910 firms from different industries and technology intensities operating in Peru, by applying a partial least squares structural equation model (PLS-SEM). Findings This study obtained three important findings. First, the authors show that innovation capability is present in all strata of technological intensity. Second, innovation capability differs according to the technological stratum. Third, firms in the lowest technological stratum can use more capabilities than those in the other strata. Originality/value This study pioneers the empirical analysis of innovation capability and technological intensity simultaneously to verify that innovation capability exists in the four strata of technological intensity.

Enterprise digitization and marine economic performance: An empirical study of listed enterprises in China's maritime economy.

The scale and connectivity of marine resources make them more complex than land resource management. Although digitization has been recognized as an organizational change process that can effectively improve resource efficiency and enhance network resilience, however, gaps remain in establishing the theoretical links between digitization and marine economic performance. Based on a panel fixed-effects model, this study evaluates the interrelationships and potential mechanisms of different firms with data from annual reports of listed firms in the marine economy in the eastern coastal region of China. The results indicate that there is a 'U-shaped' relationship between digitalization and enterprise efficiency in the maritime sector, and significant heterogeneity exists in the characteristics of these enterprises. Notably, firms' technological innovation capability can modulate the 'U-shaped' relationship through the interaction of economies of scale and economies of scope. This paper highlights how digitization mitigates the fragmentation and sectionalization of marine information and addresses the digital overload and productivity paradox that firms may face in the early stages of digitization. The study suggests that institutional diversity shapes resilience. Governments need to promote top-down regulation and industry collaboration, while marine enterprises need to coevolve collaboratively with them through bottom-up internal communication and external interaction to enhance the value chain of marine enterprises.

Does the level of corporate finance affect corporate technological innovation?

As the main way for enterprises to obtain funds, the level of financing directly determines the amount of resources available for technological innovation. In this paper, we conduct an empirical research method based on the data of Chinese listed companies from 2009-2023 to explore in depth the impact of the level of corporate financing on the technological innovation activities of enterprises. It is found that there is a significant positive correlation between the level of corporate financing and its technological innovation capability. The empirical findings of this paper provide strong evidence for understanding the impact of the level of corporate finance on technological innovation, and provide useful references for enterprises to formulate scientific financing strategies and technological innovation planning.

Congruence and Discrepancy: Matching Effect of Searching and Integration on Green Product Development Performance

The development of green products in manufacturing enterprises is challenged by limited independent innovation capabilities and insufficient green technology. Based on knowledge-based theory, this study investigates the influence of boundary-spanning green technology search (BGTS) and technology integration capability (TIC) on green product development performance (GPDP). Using polynomial regression analysis with response surface methodology (PRA with RSM) on data from 341 companies, the following findings were obtained: (1) Higher levels of BGTS and TIC congruence are associated with higher GPDP compared to lower levels of congruence. (2) The degree of discrepancy between the BGTS and TIC has an inverted U-shaped relationship with GPDP. (3) GPDP is higher in the “low BGTS–high TIC” combination than in the “high BGTS–low TIC” combination. (4) Green technology innovation capability mediates the relationship between BGTS-TIC congruence and GPDP. (5) Strategic foresight positively moderates the relationship between the BGTS-TIC congruence and green technology innovation capability. These findings enrich the research content of organizational search theory, deepen the research of green technology innovation, expand research on the development of green products, and provide a decision-making reference for manufacturing enterprises’ green transition practices.

Market Demand, Policy Environment, and Future Trends: Analysis of New Energy Vehicle Industry in China

Under the complex and ever-changing global economic situation, the sales of new energy vehicles in China are facing many development opportunities and practical challenges. Market demand and policy environment impact the development of China's new energy vehicle industry. This research takes the new energy vehicle industry in China as the research object, adopts a combination of literature review and case analysis methods by combing and analyzing relevant literature, combined with practical cases, deeply discusses the development status and problems of China's new energy vehicle industry, and proposes improvement suggestions from two dimensions: market demand and policy environment. Research shows that insufficient market demand, insufficient technological innovation, and an unstable policy environment are the main factors that restrict industrial development. To solve these problems, measures need to be taken, such as increasing government support, enhancing technological innovation capabilities, and promoting reforms and innovations in marketing and other aspects, aiming to inspire China's new energy vehicle industry to go global.

The Levels of Government Environmental Attention and Enterprises’ Green Technological Innovation

This study utilizes data from listed companies on the Shanghai and Shenzhen stock exchanges from 2010 to 2023 and employs text analysis methods to investigate the impact of government environmental concerns on corporate green technology innovation and its underlying impact mechanisms. The empirical findings demonstrate that heightened government environmental concerns significantly foster corporate green technology innovation. This relationship remains robust across a series of sensitivity analyses. The impact mechanism analysis reveals that increased government environmental concern leads to a heightened intensity of environmental regulation, drives the intelligent transformation of enterprises, and enhances the implementation of corporate environmental strategies, collectively contributing to the improvement of corporate green technology innovation capabilities. Furthermore, the heterogeneity analysis indicates that the effect of government environmental concerns is more pronounced in state-owned enterprises, mature enterprises, and industries with lower pollution levels. This study underscores that the government’s intensified focus on environmental issues can effectively promote corporate green technology innovation, thereby promoting sustainable economic and social development and supporting the dual goals of environmental protection and economic growth.

Impact of Green Supply Chain Management on Sustainable Performance: A Dual Mediated-moderated Analysis of Green Technology Innovation And Big Data Analytics Capability Powered by Artificial Intelligence

Background This study aims to empirically test a comprehensive interrelationship between green supply chain management (GSCM), green technology innovation (GTI), waste management (WM), big data analytics capability powered by artificial intelligence (BDAC-AI), and their collective impact on sustainable performance (SP) in organizational contexts. Methods This study was conducted in Pakistan’s food processing sector. The respondents included 495 managers working in the food processing industry. A structural equation modelling (SEM) approach is used to examine direct and indirect relationships between the variables. The originality of this study lies in integration of the technology acceptance model (TAM) and dynamic capability theory (DCT) to understand sustainable practices in the context of the provided model. Results This study highlights that GSCM, GTI, WM, and BDAC-AI have positive, strong, and direct impacts on SP. Furthermore, GTI and WM only partially mediate the link between GSCM and SP, whereas the two moderate the link. In addition, BDAC-AI had a moderating effect on the relationship between GTI and SP. This study has managerial implications, including strategies that involve the use of theoretical frameworks for technological acceptance and dynamic capabilities to support sustainable initiatives. However, it is worth noting that the findings provide a practical contingency for managers and businesses interested in implementing green studies effectively, improving technologies, and strengthening sustainable performance capabilities. Conclusions The study extends the literature by establishing a model for operationalizing GSCM in the food processing sector. Furthermore, it adds value in that it first integrates TAM and DCT to explain sustainable operations and their impact on organizations. Furthermore, it extends the existing literature by establishing a relationship between GSCM and SC. It offers a model through which GSCM can be operationalized in the context of the FS sector.

The Influence of Strategic Human Resource Practices and Ethical Leadership on Organizational Performance of Star Hotels: Mediated by Intellectual Capital and Sustainable Competitive Advantage

The study aims to analyze the influence of strategic human resource practices and ethical leadership on organizational performance in star-rated hotels in Jakarta, mediated by intellectual capital and sustainable competitive advantage. It addresses gaps in previous studies by examining both factors simultaneously and introducing decision making based on HR metrics. A quantitative method was employed, collecting data from HR supervisor level in star-rated hotels in Jakarta, with 255 respondents. Hypotheses were tested using PLS-SEM analysis. Results indicate that strategic human resource practices and ethical leadership positively impact organizational performance. Intellectual capital and sustainable competitive advantage mediate this effect. These findings underscore the importance of investing in intellectual capital and sustainable competitive advantage to enhance hotel performance. The study provides a reference for hotel management to develop effective HR and leadership strategies, emphasizing the importance of intellectual capital and competitive advantage. Regular monitoring and evaluation of these strategies are recommended to ensure alignment and positive impacts on hotel performance. Future research should consider adding variables such as technological readiness and innovation capability, given the rapid technological advancements and intense competition in the hospitality industry, which affect hotel performance and competitive advantage.

The more valuable the knowledge, the more focused the enterprises: Intellectual property pledge financing and diversification in high-tech enterprises

This paper investigates the relationship between intellectual property pledge financing (IPPF) and enterprise diversification, utilizing data from a large sample of high-tech enterprises. The results demonstrate that IPPF reduces enterprise diversification, leading enterprises to be more focused on their core business. The potential mechanism through which IPPF reduces diversification involves alleviating financing constraints and enhancing firms’ capacity for risk-taking. Heterogeneity analysis reveals that in areas with a lower degree of marketization, IPPF exhibits a more pronounced effect in reducing corporate diversification. Similarly, for firms with lower technological innovation capabilities, the reduction in diversification is more pronounced.

Digital Transformation on Corporate Environmental Performance

Digital transformation, as a powerful catalyst for the deep integration of the digital economy and the real economy, has emerged as a crucial driver for enterprise transformation and upgrading, as well as reshaping the competitive landscape. Drawing on data from Chinese A-share listed companies between 2010 and 2019, this study empirically examines the relationship between digital transformation and corporate environmental performance, as well as its underlying impact mechanisms. The findings indicate that digital transformation significantly enhances the level of corporate environmental performance. Moreover, corporate digital transformation facilitates the improvement of environmental performance by enhancing green technology innovation capabilities and optimizing production structures. The positive impact on environmental performance is particularly pronounced in state-owned enterprises, high-growth companies, those with substantial research and development investments, and those garnering high analyst attention.

Why Does Institutional Opening-up Promote the Enhancement of Innovation Capabilities in Chinese Enterprises?

China’s involvement in global economic governance has been a progressive and step-by-step ascent. While the domestic and international environment has undergone major changes, the process of economic globalization has taken on new trends, and China has entered a new stage of high-level opening up. This paper’s theoretical analysis suggests that high-level opening up helps enhance the quality of foreign capital utilization, thereby addressing the challenges associated with the lower technological benefits of previous foreign capital utilization and further facilitating the enhancement of innovation capabilities in Chinese enterprises. Guided by this theoretical framework, this study has measured the level of opening up in Chinese provinces from 2013 to 2022 using web crawling technology. Econometric tests conducted with Chinese enterprise panel data reveal that: firstly, First, it effectively promotes the improvement of the total innovation output of enterprises and significantly improves breakthrough innovation capabilities. This result still holds true under a series of robustness and endogeneity tests; secondly, it mainly improves local advantages and high-quality international The attraction of foreign capital and multinational companies enables local companies to achieve breakthroughs and catch-up in core technologies by learning and competing with advanced foreign companies, thereby enhancing their technological innovation capabilities; thirdly, for companies in different industries and different ownership attributes The impact of improving innovation capabilities may vary. This study helps promote a new paradigm of innovation-driven development in the context of high-level opening-up.

The Duality of Technological Innovation and Dynamic Capabilities: The Micro-Foundation of China's Construction Machinery Industry's Rise up the Global Value Chain

In the context of global value chain reconstruction, Chinese construction machinery enterprises are facing the dual challenges of technological innovation and global competitiveness improvement. Based on organizational learning theory and dynamic capability perspective, this study constructs a theoretical framework of dual integration of technological innovation (exploratory innovation and pioneering innovation) and dynamic capability, and explores its impact mechanism on the global value chain upgrading of Chinese construction machinery enterprises. The study adopts a mixed research method, combining large-scale patent data analysis and in-depth case study, and constructs a longitudinal data set of 146 Chinese construction machinery enterprises from 2005 to 2022. By using structural equation modeling, dynamic panel regression and machine learning algorithms, this study reveals the following main conclusions: (1) The relationship between technological innovation duality and the global value chain position of enterprises is inverted U-shaped, and there is an optimal equilibrium point; (2) Dynamic capabilities partially mediate the relationship between technological innovation duality and global value chain climbing, among which absorptive capacity and reconstruction capacity are particularly critical; (3) The degree of internationalization of enterprises positively moderates the impact of technological innovation duality on dynamic capabilities; (4) The quality of the institutional environment moderates the relationship between technological innovation duality and dynamic capabilities, and a high-quality institutional environment strengthens the positive relationship between the two. The theoretical contributions of this study are: (1) it expands the global value chain theory and incorporates the duality of technological innovation into the analytical framework; (2) it reveals the mediating mechanism of dynamic capability theory in innovation and value chain climbing, enriching the dynamic capability theory; (3) it provides new empirical evidence for organizational learning theory and clarifies the dynamic process of exploration and utilization equilibrium. At the practical level, the research results provide guidance for engineering machinery companies to formulate innovation strategies and enhance global competitiveness, and also provide a basis for the government to formulate industrial upgrading policies. Future research can further explore the long-term evolution path of technological innovation duality and its differences in cross-cultural contexts.

Research on Technological Innovation Capability of Yancheng Prefabricated Construction Industry Based on Patent Information Analysis

In order to improve the innovation capabilities of Yancheng’s prefabricated construction industry, the Dawei Innojoy patent database was used to search the prefabricated construction technology patent literature data of Yancheng and other major cities in the Yangtze River Delta region from 2012 to 2022, and the prefabricated construction patents in Yancheng were analyzed from the number of patent applications. Analysis and research were conducted on trends, application type composition, applicants, technical fields, patent legal status, etc. At the same time, the prefabricated building technology innovation capability evaluation system was constructed, and the factor analysis method was used to compare and analyze the prefabricated building technology patent indicators of Yancheng and major cities in the Yangtze River Delta region. The results show that Yancheng has a small number of patent applications, a small proportion of invention patents, a low patent authorization rate, and a low patent conversion rate, and the industry-university-research chain needs to be opened up. Among the cities in the Yangtze River Delta, Yancheng’s comprehensive innovation ability in prefabricated building technology is medium to low, where it lags behind in terms of the scale and quality of technological innovation and ranks at the forefront of technological innovation operations. Based on this, the article puts forward countermeasures and suggestions for Yancheng’s prefabricated building technology patent applications from three levels, macro, meso, and micro, in order to achieve efficient innovation and promote the high-quality development of Yancheng’s new building industrialization.

Cross-National Comparison of Technology Innovation Capabilities in Automation and Robotics

In today’s dynamic and global economic environment, technological innovations are a key determinant of international competitiveness. In the field of automation and robotics, the development of modern technologies is of particular significance, influencing not only industrial progress but also social aspects. Automation and robotics play a crucial role in the concept of modern industry, contributing to the creation of more sustainable, flexible, and human-centric production systems. The article aims to conduct an in-depth analysis of the patent activity in automation and robotics in Europe. Patent documentation serves as a source of knowledge about the directions of research, inventive activities, and consequently, the innovative and competitive potential of the economy. The number of patents over time reflects the dynamics of a country’s technological development. The article discusses the use of patent databases to evaluate a country’s innovation in automation and robotics. The conducted analysis of data on European countries enabled the identification of trends based on the International Patent Classification and specialisation from a geographical perspective using revealed comparative technological advantage. The European countries were classified using cluster analysis, demonstrating the diversity, and identifying leaders in each group.

Innovative Applications of Artificial Intelligence in Specific Domains

Artificial Intelligence (AI) is experiencing an unprecedented surge in development in today’s era, acting as a powerful wave sweeping across various industries and becoming the core force driving industry transformation. With its unique technological advantages and innovative capabilities, AI has shown remarkable potential in specific fields such as healthcare, education, and industry, opening up new and effective ways to solve long-standing practical problems and significantly enhance efficiency and quality. This paper will closely integrate the rich practical experience of Chongqing Soft River Turing AI Technology Co., Ltd. in relevant fields, and delve into the specific application scenarios, implementation methods, and actual effects of AI in these fields. Through the analysis of specific cases and data support, it reveals how AI can accurately address industry pain points, optimize business processes, improve production efficiency, and enhance service quality, as well as how it can bring extensive and positive impacts on society. We firmly believe that in-depth research and summary of these practical experiences can provide valuable references and insights for the further development of AI in various fields, promoting AI technology to better serve society and create a better future for humanity. At the same time, we also hope to showcase Chongqing Soft River Turing AI Technology Co., Ltd.’s innovative capabilities and leading position in the field of AI, to win more attention and support for the company’s development.

Investigating the moderating role of technology turbulence and innovation capabilities in servant leadership, knowledge management and frugal innovation

Purpose This research aims to investigate the impact of servant leadership on knowledge management and its subsequent connection to cost-saving innovation. The study further explored these relationships by examining the mediating roles of innovation capabilities and technological volatility. Design/methodology/approach The research is applied in purpose and employs a descriptive-survey method for data collection. It follows a qualitative-quantitative approach, utilizing expert interviews in the qualitative phase. The sample consists of 35 managers and expert professors with knowledge management experience in universities and high-tech industries, selected through the snowball method. Data collected from Iranian organizations were analyzed using AMOS software. Findings The results revealed a positive correlation between servant leadership and knowledge management. Knowledge management demonstrated a significant positive relationship with cost-saving innovation. Additionally, technological volatility and innovation capabilities were identified as crucial factors influencing the connection between knowledge management and innovation, particularly in promoting frugality. Originality/value While this research provides a comprehensive model, it acknowledges specific limitations that warrant further investigation. The study predominantly focused on Iranian organizations, suggesting an opportunity to broaden its scope to include diverse organizational perspectives from various cultural and geographical contexts. Moreover, a promising avenue for future research involves exploring entrepreneurial orientation as a potential mediating variable. Given its significant impact on organizational dynamics, introducing entrepreneurial orientation could enhance our understanding of its effects on both knowledge management and the promotion of frugal innovation. This expansion may illuminate the intricate interplay between entrepreneurial orientation, knowledge processes and innovative practices, contributing to a more sophisticated discussion on effective organizational strategies.

Research on Supplier Selection of Pharmaceutical Enterprises under the Dual Carbon Target

With the proposal of national carbon peak and carbon neutrality targets, green supply chain management has become one of the important means of reducing carbon emissions. Based on elaborating on the connotation of new quality productivity, this article analyzes the supplier selection problem of pharmaceutical enterprises under the dual carbon target. A pharmaceutical supplier evaluation index system has been established from five aspects related to low-carbon and environmental protection, including technological innovation, research and development capabilities, digitization, intelligent production, environmental protection technology, and so on, with five primary indicators and 18 secondary indicators. Secondly, a game theory combination weighting method combining the G1 method and entropy weight method is used to determine the weights of indicators. A pharmaceutical supplier evaluation model is established by combining the matter element extension model. A company is used as an example to evaluate its 8 candidate suppliers and select the best supplier. Finally, corresponding measures are proposed to promote the healthy and sustainable development of pharmaceutical enterprises.

Artificial Intelligence and Technological Innovation: Evidence from China’s Strategic Emerging Industries

Artificial intelligence (AI) is the driving force for the leapfrog development of science and technology, the optimization and upgrading of industry, as well as the overall leap in productivity. Using panel data of strategic emerging firms in Chinese A-Share Listed companies from 2012 to 2022, this study empirically examines the impact of AI on technological innovation through a two-way fixed-effects model. The study discovered that technological innovation capability can be greatly enhanced by the degree of AI present in strategic emerging industry businesses. This conclusion remains valid following a series of robustness tests. The mechanism study demonstrates how the degree of AI increases businesses’ capacity for technological innovation by lowering funding constraints and boosting R&D investment. According to heterogeneity analysis, AI has varying empowering effects on different industries within strategic emerging industries. Its strongest empowering effect is observed in the western region, with the central and eastern regions seeing the weakest effects. Additionally, the promotion effect of AI is greater for state-owned enterprises than for non-state-owned enterprises. To better play the role of AI in encouraging the technical innovation of firms in strategic emerging industries, it is required to establish dedicated funds, create an AI technology innovation platform, and develop differentiated regulations.

Improving the Regional Science and Technology Innovation Ability under the Background of Data Element Marketization: Insights from the Yunnan Province

Under the background of the marketization of data elements, enhancing regional scientific and technological innovation capabilities has become the main driving force for urban sustainable development. It contributes to the sustainable development of the region. Based on the data of the Yunnan statistical yearbook, we built a regional science and technology innovation index system from three dimensions of science and technology innovation input, output, and benefit. Firstly, the entropy method is used to obtain the weight of each index. Secondly, TOPSIS is used to evaluate the 36 index data of each prefecture. Finally, the scores and rankings of the scientific and technological innovation ability of each prefecture are obtained. The research can effectively find the advantages and disadvantages of scientific and technological innovation in the Yunnan Province, provide data support and decision support for regional economic development, and play an important role in promoting the level of technological innovation in modern industries. At the same time, research projects can help various regions allocate various technological innovation resources reasonably, enhance their original innovation capabilities, lead the development of strategic emerging industries and future industries, and accelerate the formation of new quality productivity.

Technological innovation, investment strategies, and innovation capabilities: Basis for small, medium enterprises competitiveness framework

Technological innovation, investment strategies, and innovation capabilities: Basis for small, medium enterprises competitiveness framework