How to construct a responsible digital strategy system in the era of digital economy is a critical issue for enterprises' sustainable development and the health of digital ecosystem. However, enterprises are confronted with multiple tensions and management challenges in the process of fulfilling digital responsibilities. Based on a systematic review of the literature on corporate digital responsibility (CDR), this paper explicitly proposed the core issue of the "corporate digital responsibility paradox", and constructed an analytical framework centered on the logical progression of "paradox manifestations - paradox causes - coping strategies" for CDR. This study found that: (1) The multi-dimensional manifestations of CDR paradoxes include the rule-following paradox, the attribution paradox, the content paradox, and the efficacy paradox; (2) The main causes of CDR paradoxes include technical roots, economic motivations, conditions for intensifying contradictions and multi-dimensional influencing factors; (3) To deal with CDR paradoxes, a two-dimensional analysis matrix of "time-structure" can be adopted. Based on the bottom-line thinking and integrative thinking, differentiated strategies such as situational synergy, dynamic complementarity and structural balance can be used to promote CDR paradox management. This study has introduced the paradox theory into the field of CDR research, revealing the inherent complexity of CDR strategic management. The research conclusions will deepen the theoretical research on CDR and provide useful references for enterprises to implement digital responsibility strategies and effectively respond to digital responsibility paradoxes.

This paper explored the reconstruction and evolution of business models of manufacturing enterprises in the era of artificial intelligence (AI), aiming to provide insights into how enterprises can develop new competitive advantages. By identifying five fundamental issues related to the commercialization of AI and employing a single-case study method, the research drew on the practical experiences of Midea Group in the field of intelligent manufacturing from a value perspective. First, the study conceptualized the business models in the AI era as a dynamic closed-loop analytical framework comprising six interconnected elements: value proposition, value creation, value delivery, value capture, value maintenance, and value transformation. Second, it revealed that the business models of manufacturing enterprises undergo incremental reconstruction driven by technological iterations in AI, with machine intelligence, trustworthy AI, and generative AI technologies serving as the foundations for three distinct stages: AI enabling, AI trust, and AI ubiquitous. Third, the study highlights Midea Group's evolutionary pathway from a "+AI" model to an "AI+" model, offering a practical roadmap for the intelligent transformation of business models. These findings will provide a theoretical foundation and actionable guidance for manufacturing enterprises seeking to leverage AI in creating distinctive value and achieving sustainable competitive advantages.

Accelerating the formation of new quality productive forces is the essential path to building China's new competitive advantages and gaining development initiative, with institutional innovation playing a leading role in this process. Can the construction of free trade zones, as a "test ground" for institutional reform, unleash institutional dividends to empower the development of new quality productive forces in enterprises? Based on the panel data from Chinese A-share listed companies from 2012 to 2022, this study employed the staggered difference-in-differences (DID) method to empirically analyze the impact of free trade zones construction on enterprise new quality productive forces and its mechanisms. The findings revealed that: First, free trade zones construction can empower the development of enterprise new quality productive forces, and this conclusion remains robust after a series of rigorous tests; Second, the mechanism analysis showed that free trade zones construction empowers new quality productive forces of enterprises by alleviating financing constraints, promoting digital transformation, and advancing marketization; Third, the heterogeneity analysis indicated that, at the enterprise level, free trade zones play a more positive role in promoting new quality productive forces in non-state-owned and small-scale enterprises; at the industry level, the impact of free trade zones on new quality productive forces is more pronounced in high-tech and non-high-pollution industries; at the regional level, the promotion effect of free trade zones is more significant in regions with superior industrial structures and higher levels of intellectual property protection. This study has provided a systematic empirical analysis of how free trade zones construction facilitates enterprise new quality productive forces and it will offer valuable policy insights for optimizing institutional opening-up and fostering high-quality development of new quality productive forces.

ESG performance shows the comprehensive governance level of enterprises, and therefore studying the impact of ESG performance on corporate competitiveness is of great significance for enhancing governance capabilities of enterprises and consolidating their market position. Based on the data of A-share listed companies in the Shanghai and Shenzhen stock exchange from 2009 to 2022 as a sample, and with the help of the panel model, the following conclusions were drawn: Firstly, the ESG performance of enterprises represents their comprehensive development ability and reflects their all-round development, so their ESG performance will enhance their corporate competitiveness; after a series of robustness and endogeneity tests, the ESG performance still plays a significant role in promoting corporate competitiveness. Secondly, the ESG performance promotes corporate competitiveness by enhancing the total factor productivity of enterprises. Thirdly, the heterogeneity analysis showed that the ESG performance has a more significant impact on the corporate competitiveness in central areas, state-owned corporate and non-high-tech corporate. Further analyses showed that the impact of corporate profits on corporate competitiveness is significantly lower than that of ESG performance. Based on this, the government should do a good job in the top-level design of ESG evaluation system, and guide the ESG evaluation task well; Enterprises should regard ESG investment as an “investment in value”, and implement ESG evaluation tasks well. This study can provide inspiration for theoretical research and practical work on strengthening corporate ESG construction and enhancing corporate competitiveness.

Integrate innovation is a crucial means of driving high-quality economic development and a key focus for achieving Chinese-style innovation. This study conducted a longitudinal case study of "NewMed Medical" to explore the intrinsic mechanisms and evolutionary pathways of integrate innovation from the perspective of the innovation chain. The findings revealed that: (1) Integrate innovation is embedded in the progressive evolution of the innovation chain, following the stages of "discovery-invention-development" and its evolution exhibits multi-dimensional dynamic characteristics, including vertical progression, horizontal expansion, and cross-dimensional interactions; (2) Integrate innovation possesses dual attributes of multi-stage interconnection and multi-actor symbiotic competition and cooperation, manifesting in integrated models such as absorptive, complementary, and collaborative innovation; (3) Integrate innovation drives hierarchical transitions across "elements-resources-ecosystem" characterized by adaptive integration, coordinated collaboration, and coupled integration mechanisms. This study has constructed an evolutionary process model of integrate innovation, and extracted its functional patterns and realization mechanisms, and it will provide theoretical foundations and practical guidance for optimizing and upgrading technological enterprise innovation practices.

The full utilization of data elements by economic entities is not only a crucial pathway for realizing the value of data elements but also a key focal point for digital economic development. Based on government data openness policies, this study employed a difference-in-differences model, utilizing the data from Chinese A-share listed companies, provincial-level regions, and cities from 2009 to 2022. It examined the impact of government data openness on corporate data element utilization levels and its underlying mechanisms. The findings revealed that: (1) Government data openness significantly enhances corporate data element utilization levels; (2) Firms' resource integration capabilities and digital transformation serve as key mediating mechanisms through which government data openness influences corporate data utilization; (3) The application of digital technologies, and levels of intelligent investment, executives' digital backgrounds, and digital industry agglomeration exert positive moderating effects on the relationship between government data openness and corporate data utilization; and (4) The heterogeneity analysis revealed that high-tech industry firms exhibit higher levels of data utilization. This study has explored the corporate data utilization process from the perspective of internal and external resource integration, and it will enrich research on unlocking data value and provide theoretical foundations and management insights for corporate data utilization.

Digital transformation is a necessary path for the high-quality development of enterprises. Open government data helps break down data barriers, but can it drive digital transformation of enterprises? A quasi-natural experiment was designed using the Government Data Open Platform as an exogenous impact. Relying on the data of Chinese A-share listed firms between 2007 and 2022, a staggered DID model was used to empirically explore the impact and mechanism of government data openness on digital transformation of enterprises. The research showed that open government data has a positive effect on promoting digital transformation of enterprises, which can be indirectly achieved through cost savings and innovation driven effects. Further analysis revealed that the digital driving effect of government open data is more significant in low financing constraint enterprises, non-state-owned enterprises, and enterprises located in ordinary cities; and the establishment of the Big Data Administration Bureau, the construction of the Data Trading Platform, and the establishment of the provincial-level Government Data Open Platform have played a synergistic role in the digital transformation driven by government data openness. The research has expanded the relevant literature on the causes of enterprise digital transformation and the effects of government data openness policies, and it will provide empirical evidence for further promoting data openness and sharing, and building a digital government.

The experience gained from peers' innovation failure serves as a key knowledge source for enterprises to refine their knowledge systems, and profoundly influences their future innovation output. Based on the signaling theory and the organizational learning theory, using the data of China's A-share listed companies from 2014 to 2022, this paper employed a dual fixed-effects model and a moderation effect model to systematically explore the employee-level failure learning mechanism through which peer firms' innovation failure information affects corporate innovation output. The findings are as follows: (1) Peer firms' innovation failure information has a significant positive effect on corporate innovation output, and this conclusion remains valid after a series of robustness tests; (2) The mechanism test based on the AMO theory showed that employees' "learning ability (A) - learning motivation (M) - learning opportunity (O)" significantly strengthens the positive effect of peer failure information on enterprise innovation output, with learning motivation having the strongest moderating effect, followed by learning opportunity, and then learning ability the weakest; (3) The heterogeneity analysis showed that peer innovation failure information plays a stronger role in promoting innovation output for growing enterprises, non-state-owned enterprises and enterprises with fierce industry competition. The conclusions have not only highlighted the importance of external heterogeneous knowledge sources for enterprise innovation, but also enriched the mechanism research on improving enterprise innovation output from the perspective of human capital.

Digital transformation is a key initiative for promoting sustainable development in enterprises. However, without unified information disclosure standards and effective regulation, corporate management may manipulate their digital transformation information disclosure to cater to the capital market and digital economy policies. Using the data from Chinese A-share listed companies from 2011 to 2021, this study used the fixed effect model to examine the impact of digital transformation disclosure catering behavior on the green innovation effect of digital transformation. We found that digital transformation significantly promotes corporate green innovation. However, the catering behavior of digital transformation disclosure weakens this promoting effect. The weakening effect is more pronounced in industries with high competition, low environmental regulation intensity, and non-high-tech enterprises. The mechanism analysis showed that digital transformation disclosure catering behavior reduces the green innovation effect of digital transformation by weakening its enhancement of internal governance capabilities and external market attention. This study has not only provided a theoretical basis for identifying the authenticity of corporate digital transformation information disclosure, but also offered policy implications for improving the corporate text information disclosure system and promoting green innovation to achieve sustainable development.

Exploring the digital innovation incentive effect of Chief Information Officers (CIOs) from an open innovation perspective holds significant theoretical and practical implications for formulating innovation policies and achieving effective innovation management. Based on the three-dimensional representation of the information role effect, this study established a theoretical analytical framework for CIOs' digital innovation incentives within an open innovation context. Using the propensity score matching method to construct the enterprise-level panel data from 2015 to 2022, a multi-period difference-in-differences model was employed to test the incentive effects of CIOs on digital innovation. The results indicated that under the influence of the information role effect, the establishment of a CIO significantly and positively incentivizes corporate digital innovation, enhancing the output of digital patents. Public digital governance, characterized by improved e-government capabilities and public digital awareness, along with corporate digital governance centered on digital infrastructure, strengthens the information role effect and moderates the digital innovation incentive effect of CIOs. The heterogeneity analysis revealed that the incentive effect is more pronounced in regions with established big data platforms and in enterprises categorized as high-tech industries. This study has expanded the theoretical research on corporate digital innovation from an information management perspective, enriched the understanding of the CIO's role, and uncovered critical antecedents influencing corporate digital innovation. It will provide valuable empirical evidence for the development of digital government initiatives and corporate digital transformation in China.

Digital innovation is the core driving force for the high-quality development of digital economy, and how to effectively link the government, market and society to realize the "increase in quantity and quality" of digital innovation is an important issue to be solved. From the perspective of the new structural economic theory and based on the institutional framework of "government-market-society", this study, taking 280 prefecture-level cities in China from 2010 to 2021 as case studies, adopted the dynamic QCA methods to investigate the linkage effect and path selection of digital innovation driven by multiple factors in a spatial and temporal dimension. The study showed that: First, no single institutional factor of government, market and society constitutes a necessary condition to drive the "incremental improvement" of digital innovation. Second, the combination effect of multiple factors to form the "incremental quality" of digital innovation has the characteristics of "different paths to the same destination" and "multiple concurrency". There are three typical combinations of government-led, government-market-led and government-market-society synergistic promotion systems that can realize "incremental" digital innovation. And there are two organizational ways to achieve "quality improvement" in digital innovation: government-society-driven and government-market-society synergistic promotion. Third, the spatial context analysis based on the grouping pattern showed that there are obvious regional differences in urban digital innovation paths, with the government in the eastern region playing a leading role in the "incremental improvement" of digital innovation, while the central and western regions rely mainly on the market to cultivate it. Fourth, in a comparative analysis over multiple time periods, two types of institutional configurations, "government-led" and "government-market-society synergistic", are found to be among the "dominant trajectories" driving digital innovation, which consistently and steadily emerged. The study has both broadened the research horizon of digital innovation and provided new thinking on how to improve the institutional environment for high-level digital innovation.

Technological innovation as a key driver of high-value economic development has been a major concern of governments, academia and industries alike. However, the non-neutral nature of technology can lead to regional development imbalances. Therefore, how to promote technological development while alleviating its distributional imbalance is an important issue that urgently needs to be studied. Based on this, this paper used the data of Chinese prefecture-level cities from 2000 to 2019 to investigate the existence of the non-neutral character of technology, and innovatively examined the intrinsic mechanism of technological innovation affecting regional coordinated development from the dimensions of skill-directed effect and innovation diffusion effect. The study found that: First, technological innovation has significant non-neutral characteristics and widens the regional income gap, which is still valid after using the instrumental variable method to alleviate the endogeneity problem and employing a robustness tests; Second, the skill-directed effect makes high-skilled workers benefit more from technological innovation, which tends to cluster more in developed regions, thus leading to widening of regional income gaps; Finally, the innovation diffusion effect through technological spillovers promotes the productivity improvement of late-developed regions through technological spillovers, which forms a compensatory mechanism for regional income gaps. In summary, this study has revealed the skill-directed and innovation diffusion effects of technological innovation on regional income disparities, and it will provide empirical evidence that technology diffusion helps to alleviate regional imbalances, thus providing new insights on how to resolve the conflict between the innovation-driven goals and the coordinated regional development.

The synergistic development of digitalization and greening is an inevitable choice for China's high-quality development, and intellectual property model cities are of great significance to the synergistic development of digitalization and greening as an important strategy for the construction of a strong intellectual property country. This paper used the staggered difference-in-difference model to study the impact of intellectual property protection on the synergistic development of urban digitalization and greening based on the panel data of 232 cities from 2006 to 2021.The study showed that (1) the pilot policy of intellectual property model cities helps to promote the digitalization and greening of cities and has significantly contributed to the synergistic development of digitalization and greening; (2) the test of the mechanism of action found that the pilot policy on intellectual property model cities has promoted the synergistic development of digitalization and greening of cities through strategic synergy, technological synergy and business synergy, and that the synergy of talents has not yet been effective; and (3) there are significant differences in the impact of the policy on the synergistic development of digitalization and greening among cities of with different model levels, different geographic locations, different scales and different resource-based strategic positioning. This paper has provided important policy insights for promoting the synergistic development of digitalization and greening in the process of building a strong intellectual property country.

Technology transfer is the key engine to promote the development of new quality productive forces, but the current academic discussion on the relationship between the two is still lacking of empirical evidence and regional spatial perspective. As the main carrier of technology transfer, patents, based on the protection role of intellectual property system, make technology elements realize their market value and turn into real productivity, and promote regional innovation to high-quality development. It is of great theoretical and practical significance to explore the specific influence and development path of technology transfer in colleges and universities, which is an important innovation subject and technology source, on regional new quality productive forces. This paper defined the connotations and extensions of regional new quality productive forces, and systematically analyzed the impact of university technology transfer on the development of regional new quality productive forces using university patent assignment data from 2012 to 2022 in China, employing a two-way fixed effects model. The findings of the study are as follows: (1) The regional flow of technology elements embedded in university patents demonstrates significant spatial polarization in China, exhibiting a "Matthew Effect" shaped by disparities in resource endowments and uneven distributions of economic and intellectual resources. (2) As a key pathway for driving the development of regional new quality productive forces, the role of university technology transfer exhibits notable regional heterogeneity, which is further moderated by the breadth of technology transfer and the absorptive capacity of regional enterprises. (3) The heterogeneity analysis further identified significant variations in technology transfer effectiveness across different innovation models and industrial sectors. This study has further enriched the theory and conceptual system of new quality productive forces, revealed the theoretical relationship between university technology transfer and regional development of new quality productive forces, and it will provide a reference for national and local policies.

Promoting the synergistic development of industry and finance is an important focus point to promote the high-quality development of economy, and it is worth exploring how science and technology insurance, as an important science and technology financial tool, affects the enhancement of the total factor productivity of enterprises. Based on the panel data of listed high-tech enterprises from 2012 to 2023, we empirically studied the effect and mechanism of science and technology insurance on the total factor productivity of high-tech enterprises. The study found that science and technology insurance can significantly promote the total factor productivity of enterprises. The heterogeneity analysis showed that science and technology insurance has a more obvious effect on the total factor productivity of enterprises with higher total factor productivity level, more competitive industries, non-state-owned enterprises and enterprises in the eastern region. In terms of the specific mechanism of action, science and technology insurance contributes to the total factor productivity of enterprises by alleviating financing constraints, strengthening competitiveness, and promoting utilization of redundant resources. At the same time, entrepreneurship, government subsidies, and enterprise performance play a positive and incremental marginal effect in the process of promoting the total factor productivity of enterprises. This paper has enriched the research on the mechanism of enterprise total factor productivity enhancement, and it will shed light on the focus on enterprise innovation, construction of multi-channel and multi-principal risk-sharing mechanism, and enhancement of total factor productivity of high-tech enterprises.

Green innovation is the core element for China to accelerate the construction of a green, low-carbon and circular economy and cultivate green productive forces. It is of great practical significance to study the spillover effect of the green practices of peer companies from the perspective of green innovation. Based on the government green procurement lists, this paper empirically examined the impact and mechanism of peer companies obtaining government green procurement on target company's green innovation using a fixed-effect model with a sample of Chinese A-listed companies from 2004 to 2018. The results suggested that (1) peer companies obtaining government green procurement promotes target company's green innovation, including increasing the number of corporate green innovation and improving the quality of corporate green innovation, which indicates that peer companies obtaining government green procurement have a positive spillover effect on target company's green innovation; (2) The positive spillover impact is greater for target enterprises with higher media attention, and target enterprises in regions with a higher degree of financial information disclosure and stronger government auditing supervision; (3) The learning mechanism and competition mechanism are the main transmission paths of the positive spillover effect of peer companies obtaining government green procurement on the target company's green innovation. This paper has confirmed the spillover effect of government green procurement, and expanded the cognitive boundaries of the factors influencing corporate green innovation, which will not only provide empirical evidence for releasing the dividends of government green procurement policy, but also evoke insights for building a green technology innovation system and achieving the construction of a beautiful China.

Small and medium-sized enterprises (SMEs) are the new force of innovation and the backbone of China's high-quality development. Evaluating the economic effects of the Small and Medium-sized Enterprise Promotion Law is of great significance for promoting innovation in small and medium-sized enterprises. This paper empirically tested the impact of the Small and Medium-sized Enterprise Promotion Law on the innovation boundary of enterprises based on the data of SMEs listed on the Shanghai and Shenzhen A-shares from 2013 to 2022. It was found that the implementation of the Small and Medium-sized Enterprise Promotion Law has significantly promoted the expansion of innovation boundaries for enterprises, and the Law has also promoted the expansion of enterprise capability boundaries. From the perspective of internal mechanisms and boundary conditions, the Small and Medium-sized Enterprise Promotion Law has eased financing constraints, corrected resource misallocation, and improved enterprise innovation capabilities; However, the "Matthew effect" of the digital economy development has weakened the positive impact of the Small and Medium-sized Enterprise Promotion Law on expanding the innovation boundaries of enterprises. The heterogeneity analysis found that in non-state-owned enterprises, manufacturing enterprises, and regions with higher levels of intellectual property protection, the effect of the Small and Medium-sized Enterprise Promotion Law on expanding the boundaries of enterprise innovation is more significant. This paper has revealed the role of legal factors in expanding the innovation boundaries of SMEs, enriched the motivation theory of SMEs' innovation, and will provide important insights for the government on how to support the innovative development of SMEs.

Judicial digitalization is a crucial component of digital government construction and exerts a profound impact on the corporate innovation environment. Based on the quasi-natural experiment in "establishment of Internet courts", this study employed a multi-period DID approach to empirically examine the effect and mechanism of judicial digitalization reform on corporate innovation efficiency, using a sample of China's A-share listed companies from 2012 to 2022. The findings indicated that the establishment of Internet courts significantly enhances corporate innovation efficiency. This effect is primarily achieved through two mechanistic channels: strengthening intellectual property protection and optimizing the corporate credit environment. Furthermore, it is more pronounced in non-state-owned enterprises, industries with low competition levels, and low capital-intensive enterprises. Additional analysis revealed that the promoting effect gradually strengthens over time. This study will provide micro-level evidence for how judicial digitalization empowers corporate innovation, while offering valuable decision-making insights for constructing an efficient and collaborative digital governance framework.