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The 21st century has brought the business model earth-shaking changes, especially since the Corona Virus Disease 2019 (COVID-19) epidemic at the end of 2019. Now, the epidemic normalization is slowing down China's rapid development. However, technological development, like artificial intelligence (AI), is unstoppable and is transforming China's economic growth modes from factor-driven to innovation-driven systems. Therefore, it is necessary to study further the new changes in labor entrepreneurship and innovation business models and their mechanism of action on economic growth.

This work studies how innovative human capital (IHC) uses AI and other scientific and technological (S&T) innovation technologies to promote China's innovation-driven economic growth model transformation from the labor entrepreneurship and innovation perspective.

The research shows that the entrepreneurial innovation ability of IHC can increase marginal return and output multiplier effect. It changes the traditional business model and promotes China's economic growth and innovation development. At the same time, this work analyzes China's inter-provincial panel data through the panel smooth transition regression (PSTR) model. It concludes that there is a nonlinear relationship between IHC and the output of innovative achievements. The main body presents three stages of nonlinear changes: first rising, then slightly declining, and rising so far.

The finding provides a direction for solving the problem of slow economic growth and accelerating the transformation of economic growth mode under epidemic normalization.

Labor conflict has become a serious problem in recent China. From the perspective of entrepreneur innovation, this paper aims to find an effective path to eliminate this conflict. On the basis of theoretical analyses and regression analyses, this paper finds that, with legal environment and other conditions identical, entrepreneur innovation will significantly facilitate elimination of labor conflicts.

Using theoretical analyses based on entrepreneurship theory, this paper puts forward a series of hypotheses about the effects of entrepreneur innovation on labor conflicts. With panel data during 2013-2015 from China Employer–Employee Survey, this paper examines the effects of entrepreneur innovation on labor conflicts. Using interaction term regressions, this paper examines heterogeneous effects of entrepreneur innovation on labor conflicts by ownership, market power and export behavior. With mediating effect model, this paper examine whether workers’ participation in corporation governance is an important channel in which entrepreneurial innovation can impact on labor conflicts.

First, using benchmark regressions and robustness checks, this paper finds that there exist significantly positive effects of entrepreneur innovation on workers’ job satisfaction, incentive, social security, job development and job stability, which will reduce potential risks of labor conflict effectively. Second, using interaction term regressions, this paper finds that there exist heterogeneous effects of entrepreneur innovation on labor conflicts by ownership, market power and export behaviors. The study finds that the effects of entrepreneur innovation are more concentrated in private firms, firms with stronger market power and non-exporters. Third, using a mediating effect model, the study finds that workers’ participation in corporation governance is an important channel in which entrepreneur innovation can have impacts on labor conflicts.

The paper enriches the existing research about how to eliminate labor conflicts in China. On the basis of China Employer–Employee Survey data, this paper finds the importance of entrepreneur innovation on Chinese transition, which not only has positive impacts on firm performance, but also has impacts on eliminating labor conflicts and establishing better labor relationship. Therefore, stimulating entrepreneur innovation is very important for solving conflicts during Chinese transition.

This study aims to investigate the tendency for firms, exhibiting an entrepreneurial spirit in their growth strategies, to engage in misconduct within the context of China's rapidly developing economy. The authors also examine how this relationship is influenced by governance mechanisms, specifically management shareholding and executive functional diversity. Furthermore, the authors explore the mediating roles of organizational complexity and performance pressure in linking entrepreneurial growth to firm misconduct. This research provides a novel perspective for understanding the impact of entrepreneurial growth on corporate ethical risks, and offers practical insights for maintaining ethical standards in firms during their pursuit of growth.

This study focuses on publicly traded, mature companies that exhibit an entrepreneurial inclination in their growth strategies, demonstrating entrepreneurial vigor through activities such as product innovation and market expansion. This exploration incorporates both theoretical and empirical approaches, scrutinizing A-share listed companies in China from 2008 to 2019. To validate the robustness of this study's findings, the authors have applied diverse methodologies such as propensity score matching, classification regression, and alternative indicator analysis.

This study found that the entrepreneurial growth-oriented strategy is positively related to firm misconduct. It also uncovers that governance mechanisms like management shareholding and executive functional diversity moderate this relationship. Moreover, organizational complexity and performance pressure partially mediate the relationship between an entrepreneurial growth strategy and firm misconduct.

For instance, more detailed categorization of corporate misconduct, based on punishment severity, could be explored. Additional characteristics like age, education, gender, and team/board diversity could help further understand the relationship between entrepreneurial growth strategy and misconduct. By addressing these limitations and exploring further avenues for research, the authors can deepen the understanding of this relationship and provide valuable insights for firms seeking to mitigate potential risks.

First, for regulators, shareholders, creditors and investors, knowing and understanding the relationship between growth-oriented strategies and corporate violations is helpful for them to scientifically evaluate the potential risks that may exist in the company, and can also carry out differentiated supervision on the company based on different types of company-oriented strategies. Second, when designing the corporate governance mechanism, listed companies should fully consider the role of management shareholding. Finally, executives should treat cross-functional experience dialectically, especially in growth oriented strategic companies.

This research provides a novel perspective for understanding the impact of entrepreneurial growth on corporate ethical risks, and offers practical insights for maintaining ethical standards in firms during their pursuit of growth.

This study stands out by examining the influence of entrepreneurial growth strategy on firm misconduct, thus enhancing previous studies that primarily centered on entrepreneurial start-ups. The authors offer a nuanced comprehension of the potential risks intrinsic to corporate entrepreneurship and highlight the crucial role of efficient governance structures in curbing corporate misbehavior while fostering entrepreneurial growth.

This paper aims to forecast the future development of UIC technology according to the changes of IPC in different time periods. The findings also provide a theoretical basis for the UIC policymakers of energy-saving environmental protection industry.

The present study will take energy-saving technology as an example, through using a two-mode network analysis method to build the four-stage IPC code UIC innovation-technology network, researching UIC innovation network applicant heterogeneity, UIC technology network and technology relevance.

Through the establishment of UIC innovation-technology two-mode network, namely, applicant node CN and IPC node TN, this paper analyzes the important applicants, focal technologies, correlation of focal technologies and the development trends of energy saving technology in the future by using the related theories and methods of two-mode network.

At present, only about 11% of energy-saving enterprises in China have R&D activities. The government needs to implement top-level design, improve industrial policies, strengthen investment in technology R&D and build a platform for technological innovation in energy-saving industries to support the R&D of common and key technologies in energy-saving industries.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

Additive manufacturing based on arc welding is a fast and effective way to fabricate complex and irregular metal workpieces. Thin-wall metal structures are widely used in the industry. However, it is difficult to realize support-free freeform thin-wall structures. This paper aims to propose a new method of non-supporting thin-wall structure (NSTWS) manufacturing by gas metal arc welding (GMAW) with the help of a multi-degree of freedom robot arm.

This study uses the geodesic distance on the triangular mesh to build a scalar field, and then the equidistant iso-polylines are obtained, which are used as welding paths for thin-wall structures. Focusing on the possible problems of interference and the violent variation of the printing directions, this paper proposes two types of methods to partition the model mesh and generate new printable iso-polylines on the split meshes.

It is found that irregular thin-wall models such as an elbow, a vase or a transition structure can be deposited without any support and with a good surface quality after applying the methods.

The experiments producing irregular models illustrate the feasibility and effectiveness of the methods to fabricate NSTWSs, which could provide guidance to some industrial applications.

With the rapid development of social media, many organizations have begun to attach importance to social media platforms. This research studies the management and the use of social media in academic music libraries, taking the Center for Chinese Music Studies of the Chinese University of Hong Kong (CCMS) as a case study.

We conducted a sentiment analysis of posts on Facebook’s public page to analyze the reaction to the posts with some exploratory analysis, including the communication trend and relevant factors that affect user interaction.

Our results show that the Facebook channel for the library has a good publicity effect and active interaction, but the number of posts and interactions has a downward trend. Therefore, the library needs to pay more attention to the management of the Facebook channel and take adequate measures to improve the quality of posts to increase interaction.

Few studies have analyzed existing data directly collected from social media by programming based on sentiment analysis and natural language processing technology to explore potential methods to promote music libraries, especially in East Asia, and about traditional music.

This paper aims to investigate the corrosion evolution process of AZ91 magnesium alloy in 3.5 wt.% NaCl solution under different stresses by using in situ methods, thereby evaluate the influence of stress on the corrosion sensitivity of AZ91 magnesium alloy, and discuss the potential mechanism.

A four-point bending method was used to apply different loads to the magnesium alloy samples, a charge coupled device camera and electrochemical impedance spectroscopy test being used for in situ study. Scanning electron microscopy and X-ray diffraction (XRD) analysis were performed for corrosion product and morphology characteristics.

The observation results show that the corrosion of AZ91 magnesium alloy becomes more and more serious with the increase in the stress and generated many corrosion products. Originally, corrosion products prevented alloy matrix from contacting the corrosive medium. However, the increase in the stress facilitated the emergence of the corrosion holes in the corrosion products, which provided the microscopic channels for corrosive solution to attack the Mg alloy matrix, and accelerated the corrosion of the magnesium alloy, resulting in a lot of corrosion pits on the magnesium alloy surface under the corrosion product layer.

The evolution information of corrosion process is crucial to explore the mechanism of corrosion. Currently, most researches about corrosion of magnesium alloy used traditional testing techniques to obtain corrosion information, lacking the direct tracking and monitoring of the corrosion evolution process. Hence, this paper focuses on in situ corrosion study of AZ91 magnesium alloy. The technology with spatial resolution capability observed the changes in magnesium alloy surface at different times in the corrosion process in situ. Meanwhile, the in situ electrochemical technology was used to monitor the changes in micro-electrochemical signals during the corrosion process of magnesium alloy under different stresses.

This study aims to develop a polymer cement-based waterproof coating with self-healing capability to efficiently and intelligently solve the building leakage caused by cracking of waterproof materials, along with excellent durability to prolong its service life.

Ion chelators are introduced into the composite system based on ethylene vinyl acetate copolymer emulsion and ordinary Portland cement to prepare self-healing polymer cement-based waterproof coating. Hydration, microstructure, wettability, mechanical properties, durability, self-healing performance and self-healing products of polymer cement-based waterproof coating with ion chelator are investigated systematically. Meanwhile, the chemical composition of self-healing products in the crack was examined.

The results showed that ion chelators could motivate the hydration of C₂S and C₃S, as well as the formation of hydration products (C-S-H gel) of the waterproof coating to improve its compactness. Compared with the control group, the waterproof coating with ion chelator had more excellent water resistance, alkali resistance, thermal and UV aging resistance. When the dosage of ion chelator was 2%, after 28 days of curing, cracks with a width of 0.29 mm in waterproof coating could fully heal and cracks with a width of 0.50 mm could achieve a self-healing efficiency of 72%. Furthermore, the results reveal that the self-healing product in the crack was calcite crystalline CaCO₃.

A novel ion chelator was introduced into the composite coating system to endow it with excellent self-healing ability to prolong its service life. It has huge application potential in the field of building waterproofing.

The purpose of this study is to identify patient experience unique to online pharmacy services (OPS) based on the characteristics of OPS (i.e. interactivity and virtuality) and to reveal how patient experience is derived from OPS and thereby enhances patient adherence from both online social support and patient experience perspectives.

The Stimulus-Organism-Response framework was used to conceptualize this study; both primary and secondary data for 296 validated participants were collected on a real OPS platform. A structural equation modeling approach combined with partial least squares was employed for the quantitative analysis.

Social presence and user engagement can be identified as patient experience in the OPS context; online emotional support has a stronger association with patients' social presence than it does with patients' user engagement; patients' social presence has a stronger association with their medication adherence than it does with diet adherence, while patients' user engagement has a stronger association with their diet adherence than it does with medication adherence; patients' medication knowledge negatively moderates the relationship between user engagement and diet adherence.

This study identifies patient experience in accordance with unique characteristics of OPS, and it reveals the nuanced underlying mechanisms by which online social support is associated with patient experience and by which patients' experience is associated with their adherence. This study enriches the literature on patient adherence, patient experience and OPS, providing insights for healthcare providers, OPS designers and policymakers.