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In a boundary layer ingestion (BLI) propulsion system, the fan operates continuously under distorted inflow conditions, leading to an increment of aerodynamic loss and in turn impacting the potential fuel burn reduction of the aircraft. Usually, in the preliminary design stage of a BLI propulsion system, it is essential to assess the impact of fuselage boundary layer fluids on fan aerodynamic performances under various flight conditions. However, the hub region flow loss is one of the major loss sources in a fan and would greatly influence the fan performances. Moreover, the inflow distortion also results in a complex and highly nonlinear mapping relation between loss and local physical parameters. It will diminish the prediction accuracy of the commonly used low-fidelity computational approaches which often incorporate traditional physics-based loss models, reducing the reliability of these approaches in evaluating fan performances. Meanwhile, the high-fidelity full-annulus unsteady Reynolds-averaged Navier–Stokes (URANS) approach, even though it can give rather accurate loss predictions, is extremely time-consuming. This study aims to develop a fast and accurate hub loss prediction method for a BLI fan under distorted inflow conditions.

This paper develops a data-driven hub loss prediction method for a BLI fan under distorted inflows. To improve the prediction accuracy and applicability, physical understandings of hub flow features are integrated into the modeling process. Then, the key physical parameters related to flow loss are screened by conducting a sensitivity analysis of influencing parameters. Next, a quasi-steady assumption of flow is made to generate a training sample database, reducing the computational time by acquiring one single sample from the highly time-consuming full-annulus URANS approach to a cost-efficient single-blade-passage approach. Finally, a radial basis function neural network is used to establish a surrogate model that correlates the input parameters and the output loss.

The data-driven hub loss model shows higher prediction accuracy than the traditional physics-based loss models. It can accurately capture the circumferentially and radially nonuniform variation trends of the losses and the associated absolute magnitudes in a BLI fan under different blade load, inlet distortion intensity and rotating speed conditions. Compared with the high-fidelity full-annulus URANS results, the averaged relative prediction errors of the data-driven hub loss model are kept less than 10%.

The originality of this paper lies in developing a new method for predicting flow loss in a BLI fan rotor blade hub region. This method offers higher prediction accuracy than the traditional loss models and lower computational time cost than the full-annulus URANS approach, which could realize fast evaluations of fan aerodynamic performances and provide technical support for designing high-performance BLI fans.

According to reputation theory, enterprises that adopt a proactive approach to corporate social responsibility (CSR) are known to actively invest in corporate innovation. However, this theory does not fully explain the mechanisms through which CSR influences corporate innovation, nor does it address how to effectively amplify CSR’s positive impact on innovation. To overcome these limitations, this research aims to incorporate the theories of innovation investment and dynamic capabilities. Innovation investment theory elucidates how CSR can attract additional financing, which can be directed toward innovation activities. Meanwhile, dynamic capabilities theory highlights how digital transformation in enterprises can enhance the positive effects of CSR on innovation, providing insights from both theoretical and empirical perspectives.

To demonstrate the mediating role of debt financing costs and the moderating role of enterprise digital transformation in the mechanism of CSR on corporate innovation, this research conducts fixes effects models by collecting 27,912 data points from 3,775A-share China-listed enterprises, ranging in period from 2010 to 2020. Empirical research once again proves that the theories of innovation investment and dynamic capabilities effectively compensates for the shortcomings of reputation theory. These three theories effectively explain that what is the effect of CSR on enterprise innovation? How does CSR influence corporate innovation? And through what mechanisms can CSR better enhance corporate innovation?

According to innovation investment theory, the cost of debt financing mediates the positive relationship between CSR and corporate innovation. This occurs because enterprises with robust CSR practices are more likely to secure external funding, thereby reducing their costs associated with external debt financing. Lower debt financing costs provide a stable source of funds for corporate innovation. Additionally, dynamic capability theory suggests that enterprise digital transformation moderates the positive relationship between CSR and corporate innovation. Building on these insights, it is recommended that enterprises, especially state-owned ones, should prioritize technological innovation to enhance their competitiveness.

This research aims to address and narrow the knowledge gap regarding the relation between CSR and corporate innovation through theoretical and empirical analyses. With respect to the influence mechanism, this research solely based on innovation investment theory and dynamic capabilities theory, focuses on the influence mechanism of CSR on corporate innovation, with the debt financing costs as the mediating variable and digital transformation as the moderating variable. However, the influence mechanism turns out to be complicated and there is room for further exploring numerous mechanisms. For example, future research can focus on identifying additional channels through which CSR exerts an influence on corporate innovation based on TOE theoretical framework.

This research presents several strategies to enhance corporate innovation based on its conclusions: First, enterprises should promptly publish social responsibility reports to build a positive industry reputation. Moreover, by actively participating in CSR activities, they can strengthen their networks and enhance their industry standing. Second, the significant mediating role of debt financing costs should not be ignored. Enterprises are encouraged to seek diverse financing channels to reduce financial pressures, address financing challenges and facilitate the coordinated development of CSR and innovation. Third, enterprise digital transformation significantly affects the impact of CSR on innovation. Therefore, enterprises should advance digital transformation initiatives that incorporate technological innovation, organizational improvements and integration with supply chain partners. Finally, it has been noted that state-owned enterprises are often less responsive to technological innovation than their non-state counterparts. SOEs could redefine the scope and priorities of their social responsibilities to prevent excessive resource consumption that could hinder innovation. For instance, integrating some of their social responsibilities with innovation projects could promote both social and technological innovation objectives. Additionally, the government could ensure fair resource distribution among different types of enterprises and provide an equitable financing platform to mitigate financial challenges for both state-owned and non-state-owned enterprises.

Reputation theory does not fully elucidate the mechanisms by which CSR influences corporate innovation or how to effectively enhance CSR’s positive impact on innovation. This research integrates the theories of innovation investment and dynamic capabilities to address these gaps. According to innovation investment theory, debt financing costs mediate the positive relationship between CSR and corporate innovation. Meanwhile, dynamic capabilities theory posits that enterprise digital transformation moderates this positive relationship, further strengthening the impact of CSR on innovation.

The purpose of this paper is to investigate the effects of parameters on the liquid phase migration (LPM) during the freeze-form extrusion fabrication (FEF) process.

To carry out this study, three factors were systematically investigated using orthogonal design of experiments. These three parameters are the extrusion velocity, the extrusion interval time and the extrusion head length. An orthogonal array with nine test units was selected for the experiments. Range analysis and analysis of variance were used to analyze the data obtained by the orthogonal experiments to identify the order of significant factors on LPM.

It was found that the LPM decreased with the increase of extrusion velocity and increased with the lengthening of extrusion interval time and the length of the extrusion nozzle. The order of significant factors for the LPM were found to be extrusion velocity > extrusion nozzle length > extrusion interval time.

Using an orthogonal design of experiments and a statistical analysis method, the liquid content of extrudate can be predicted and appropriate process parameter values can be selected. This leads to the minimization of LPM during the FEF process. Also, this analysis method could be used to study the LPM in other paste extrusion processes.

This paper suggests that the factors have significant impact on LPM during FEF process. The following analysis in this paper is useful for FEF users when prediction of LPM is needed. This methodology could be easily applied to different materials and initial conditions for optimization of other FEF-type processes. The research can also help to get better understanding of LPM during the FEF process.

Decision theory holds that the ambiguity of decision information affects the choices of decision makers, who have the emotion of “ambiguity aversion” when making fuzzy decisions. The purpose of this paper is to explore the neural mechanism how the information ambiguity of different sales promotion strategies influences consumers’ purchasing decision.

The paper uses the event-related potential (ERP) technique and experiment.

Results indicate that the information ambiguity of sales promotion strategies did influence the purchasing decision of consumers, and there were significant differences in the amplitudes of brain wave P2, N2 and P3 when consumers encountered the sales promotions of different types (discounts and gift-giving). This reflects the difference in perceived risk, decision-making conflict and decision-making attitude. It means that compared with discounts, the perceived risk and difficulty increased while the decision-making confidence plunged when consumers were faced with gift-giving promotions. This finding gives an explanation on the neural level why consumers prefer discounts, rather gift-giving sales promotions.

For the merchants to promote commodities online, it is suggested that the actual benefit from the sales promotion should be specified to reduce the ambiguity of sales promotion information. As the neuromarketing develops, merchants have obtained more effective approaches to study marketing strategies.

One of the theoretical contributions this paper made is that the authors innovatively explored the consumer’s preference to online sales promotion strategies from the perspective of fuzzy decision. Second, the authors adopted the ERP technique to study the influence of the ambiguity of sales promotion information on the consumer’s purchasing behaviors. Third, this study provides an explanation for why consumers prefer the sales promotion type of discounts according to the neural mechanism of decision making.

Stainless-steel electromagnetic shielding (EMS) fabrics are widely applied as protective materials against electromagnetic interference (EMI). However, these fabrics primarily shield electromagnetic waves through reflection, which can lead to the formation of resonance effects that severely compromise their protective capabilities and potentially cause secondary electromagnetic pollution in the external environment.

In this paper, carbon nanotube fibers are added via spacing method to replace some stainless-steel fibers to impart absorbing properties to stainless-steel EMS fabric. The shielding effectiveness (SE) of the EMS fabrics across various polarization directions is analyzed. Additionally, a spacing arrangement for the carbon nanotube fibers is designed. The EMS fabric with carbon nanotube fibers is manufactured using a semi-automatic sample loom, and its SE is tested using a small window method test box in both vertical and horizontal polarization directions.

According to the experimental data and electromagnetic theory analysis, it is determined that when the spacing between the carbon nanotube fibers is less than a specific distance, the SE of the stainless-steel EMS fabric significantly improves. The fabric exhibits stable absorbing properties within the tested frequency range, effectively addressing the issue of secondary damage that arises from relying solely on reflective shielding. Conversely, as the spacing between the carbon nanotube fibers exceeds this distance, the SE diminishes. Notably, the SE in the vertical polarization direction is substantially higher than that in the horizontal polarization direction at the same frequency.

This study provides a new path for the development of high-performance EMS fabrics with good wave-absorption characteristics and SE.

The space industry has experienced rapid development over the last few years. Activities such as building things in space, learning about our Earth and exploring outer space are satisfying people's fantasies and achieving humanity's ambitions. Such activities have also generated many issues that belong to several information systems (IS) research domains. In this article, the authors discuss the challenges and opportunities associated with the space economy.

The authors discuss why the emerging space economy opens a new frontier of e-commerce and data analytics. Linking three important IS research areas (i.e. digital commerce, data analytics and information security) to the space economy, this study motivates scholars to pay close attention to this promising new frontier for IS research.

The authors identify new research opportunities within several IS research contexts (digital commerce, data analytics and information security). The authors highlight the potential for opening a robust, interdisciplinary field in the IS domain that could provide valuable insights for practitioners and academics.

Because of the unique characteristics of the space economy, this article presents some promising avenues, research opportunities and implications for several IS fields (digital commerce, data analytics, decision science, information sharing and information security and new business models). Indeed, many opportunities are interdisciplinary in scope, with overlaps occurring between IS and other disciplines.

This paper aims to select an appropriate contact force model and apply it to the interaction model between the balls and the cage in the rolling bearings to describe the elastic–plastic collision phenomena between the two.

Taking the ball–disk collision mode as an example, several main contact force models were compared and analyzed through simulation and experiment. In addition, based on the consideration of yield strength of materials and initial collision velocity, a variable recovery coefficient model was proposed, and its validity and accuracy were verified by the ball–disk collision experiments. Then, respectively, the Flores model and the Hertz model were applied to the interaction between the balls and the cage, and the dynamics simulation results were compared.

The results indicate that the Flores model has good regression of recovery coefficient, indicating good applicability for both elastic and elastic–plastic contacts and can be applied to the contact collision situations of various materials. Under certain working conditions, there are significant differences in the dynamics results of rolling bearings simulated using the Flores model and Hertz model, respectively.

This paper applies the Flores model with variable recovery coefficients to the dynamics simulation analysis of ball bearings to solve the elastic–plastic collision problem between the rolling elements and the cage that cannot be reasonably handled by the Hertz model.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0138/

The purpose of this paper is to comprehensively explore the dimensions of Chinese culture and further investigate the underlying mechanisms via which the Chinese culture, in various dimensions, affect the overseas performance of Chinese multinational enterprises (CMNE) expatriates. Along with the awakening of China, not only CMNEs but also the Chinese culture have infiltrated the world market. The uniqueness of Chinese culture has attracted considerable attention of a majority of practitioners, while relevant research on how it affects CMNE expatriates’ performance sounds rare. In contrast to domestic employees, the performance of CMNE expatriates is more likely to be influenced by Chinese culture because of the potential cross-border cultural conflicts between the home and host countries. Additionally, the impact of Chinese culture on CMNE expatriates’ performance may vary according to different cultural dimensions.

Comparative case study is adopted for this research. After sufficient literature review and interviews with human resource (HR) staff, this paper structured the research, and then conducted 30 in-depth interviews with Chinese expatriates from both state-owned enterprises and private-owned enterprises.

This paper identifies that the Chinese culture do affect CMNE expatriates performance; however, the degree of its effect diversifies according to different cultural dimensions, namely, individual-level culture including Reniqng, Mianzi and social-level culture including power distance, Guanxi, Yinyang, Hexie and collectivism.

A limitation of this study is that the sample is not big enough and empirical tests are needed to validate or refute the model. Nevertheless, due to the fact that it is still during the period of initial study, the conceptual development raised by this paper would help us to gain good insights from these important and unexplored areas of national culture, which is being thought to affect performance in CMNEs.

Through reviewing the relevant literature and deeply analyzing Chinese culture, this paper attempts to help young Chinese MNEs to build up and/or improve performance appraisal method and system according to the unique Chinese culture, and to supply a theoretical support for HR personnel to make related policies for the sake of improving expatriate performance overseas.

This paper is the first attempt to dig and explore the whole picture, and refine the dimensions of Chinese culture from individual level and social level. It aims to lay a foundation for the research related to Chinese culture, and to some extent, supply a theoretical support to motivate more researchers to explore more ways to improve the performance of expatriates from young CMNEs.

This paper presents the whole frame of Chinese culture and from an integral Chinese perspective digs the Chinese cultural dimensions from individual level and social level for the first time. According to the social cognitive theory, this paper provides a firm foundation for scholars to understand Chinese culture as well as to analyze the related relationship with performance, and for CMNEs to develop and utilize the effect of national culture to improve the performance of expatriates overseas. So far, the research on Chinese culture and the effect of national culture overseas have not yet been well considered.

As an innovation model for infrastructure and public service delivery, public–private partnership (PPP) has been widely adopted around the world. The knowledge spillover effect and policy diffusion mechanism have played an important role in promoting the development of PPP in the context of globalization. A comparative evaluation of the policy and management of PPP in different countries will help to understand the development of PPP, provide decision-making reference for PPP policy embedded with specific national conditions of each country, and also contribute to the global PPP knowledge body.

Based on the principle of comparability and representativeness, this study selected three countries, namely, China, India, and the United Kingdom for comparative analysis. This study first introduced the policy process and key institutions of PPP in three countries. Secondly, a comparative analysis of the development characteristics and application of PPP was conducted based on the official database of three countries. Finally, the differences, influencing factors and development trends of international PPP development were analyzed based on the comparative research results, and suggestions for PPP policy and management were put forward.

The research results indicate the development fluctuation and unbalanced spatial distribution of PPPs are a common phenomenon in the three countries. The UK has a significant impact on the policy and development of PPP in other countries. However, under the combined influence of factors such as economic, urbanization, political regime and social culture, there are significant differences in the PPP institution, application, and project characteristics in various countries. Due to international exchanges and knowledge spillovers, as well as the promotion of intermediaries, the development of PPP worldwide tends to converge.

Through conducting an international comparison of PPPs based on project data, this study provides a detailed and visualized overview of PPPs and a better understanding of PPP policy and management in different countries. The findings will be of interest to PPP investors, officers, practitioners, policymakers, researchers, and analysts. It enriches the portrait of global PPP market research, helps governments to improve the design of PPP institutions and policies, and provides references for decision-making of international investors when stepping into a new market.

This study is the first attempt to systematically compare and analyze the global PPP difference and development trend based on PPP project databases of different countries. Different from previous PPP comparative research based on perception data, the project data-based comparative analysis in this study is helpful to understand the characteristics, interrelations, and trends of global PPP development and enrich the existing PPP knowledge body. This study also proposes that it is possible to establish a global PPP knowledge community in the context of globalization and global production network.