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The purpose of this study is to advance the computational modeling of liquid splashing dynamics, while balancing simulation accuracy and computational efficiency, a duality often compromised in high-fidelity fluid dynamics simulations.

This study introduces the fluid efficient graph neural network simulator (FEGNS), an innovative framework that integrates an adaptive filtering layer and aggregator fusion strategy within a graph neural network architecture. FEGNS is designed to directly learn from extensive liquid splash data sets, capturing the intricate dynamics and intrinsically complex interactions.

FEGNS achieves a remarkable 30.3% improvement in simulation accuracy over traditional methods, coupled with a 51.6% enhancement in computational speed. It exhibits robust generalization capabilities across diverse materials, enabling realistic simulations of droplet effects. Comparative analyses and empirical validations demonstrate FEGNS’s superior performance against existing benchmark models.

The originality of FEGNS lies in its adaptive filtering layer, which independently adjusts filtering weights per node, and a novel aggregator fusion strategy that enriches the network’s expressive power by combining multiple aggregation functions. To facilitate further research and practical deployment, the FEGNS model has been made accessible on GitHub (https://github.com/nanjinyao/FEGNS/tree/main).

The purpose of this study is analysis of deformation and vibrations of turbine blades produced by high electrolyte pressure during electrochemical machining.

An experimental setup was designed, experiments were conducted and the obtained results were compared with the finite element results. The deformations were measured according to various flow rates of electrolyte. In finite element calculations, the pressure distribution created by the electrolyte on the blade surface was obtained in the ANSYS® (A finite element analysis software) Fluent software and transferred to the static structural where the deformation analysis was carried out. Three different parameters were examined, namely blade thickness, blade material and electrolyte pressure on blade disk caused by mass flow rate. The deformation results were compared with the gap distances between cathode and anode.

Large deformations were obtained at the free end of the blade and the most curved part of it. The appropriate pressure values for the electrolyte to be used in the production of blisk blades were proposed numerically. It has been determined that high pressure applications are not suitable for gap distance lower than 0.5 mm.

When the literature is examined, it is required that the high speed flow of the electrolyte is desired in order to remove the parts that are separated from the anode from the machining area during electrochemical machining. However, the electrolyte flowing at high speeds causes high pressure in the blisk blades, excessive deformation and vibration of the machined part, and as a result, contact of the anode with the cathode. This study provides important findings for smooth electro chemical machining at high electrolyte flows.

This study aims to study the moderating effects of private ownership and government support on the relationship between outsourcing and product innovation in entrepreneurial ventures in a transition economy.

The data of 10,296 Vietnamese entrepreneurial ventures from the four rounds of the survey conducted by the General Statistics Office (GSO) of Vietnam to investigate the moderating effects of private ownership and government support on the association between outsourcing and entrepreneurial ventures’ product innovation performance. The Probit regression model is employed to estimate such associations.

Our research uncovered that the impact of outsourcing on the likelihood of product innovation is more significant for entrepreneurial operations characterized by a substantial degree of private ownership and government backing as opposed to those without.

The results of our research indicated that the resource-based perspective and extended resource-based view (ERBV) are essential in examining the impact of gaining resources or skills from external sources on the growth of entrepreneurial enterprises. These ideas have significance and importance not just in industrialized economies but also in countries undergoing transition. Our findings suggest that entrepreneurial enterprises should have the ability to manage a wide range of resources and make decisions about which activities should be handled internally and which should be delegated to other parties.

Our findings also imply that entrepreneurial ventures should be able to control many resources and choose which tasks should be performed in-house and which should be outsourced to third parties.

By adopting and leveraging the resource-based view (RBV) and extended resource-based views (ERBV), our study developed a theoretical model about private ownership and government support for moderate outsourcing’s impact on entrepreneurial innovation in a transition economy.

Contemporary entrepreneurial ecosystem models and frameworks advocate that culture is a criterion for entrepreneurial intention and central to entrepreneurship discourse. However, there is limited research from resource-constrained economies, such as sub-Saharan Africa and at a sub-national level. Responding to calls for bottom-up perspectives hinged on local context and heterogeneous nature, this paper aims to provide an in-depth understanding from multiple perspectives about the effect that culture and entrepreneurial intention have on the entrepreneurship process and performance in Nelson Mandela Bay, South Africa.

A mixed-method research design followed a sequential independent process consisting of two phases. Phase 1 included the dissemination of questionnaires to economically active participants, and 300 responses were statistically analysed. In Phase 2, 15 semi-structured interviews with influential economic development agents were conducted.

The results indicated that social legitimacy towards entrepreneurship existed and self-employment was viewed positively. However, self-employment endeavours were mainly necessity driven, and the systemic low levels of innovation, poor business competitiveness and the inability to scale were highlighted. The findings indicated that individuals venturing into business had a culture of being dependant on the government, lacking a risk appetite, fearing failure, with disparate groups suffering from a poor legacy of entrepreneurship.

Despite research done on the role of culture and entrepreneurial intention on entrepreneurial ecosystems, there are few case studies showing their influence at a sub-national level. This study responds to calls for studies on a sub-national level by exploring the influence that culture and entrepreneurial intention have on entrepreneurship in a resource-constrained metropole.

New business density (NBD) is the ratio of the number of newly registered liability corporations to the working-age population per year. NBD is critical to assessing a country's business environment. The present work endeavors to discover and gauge the contribution of 28 potential socio-economic enablers of NBD for 2006–2021 across developed and developing economies separately and to make a comparative assessment between those two regions.

Using World Bank data, the study first performs exploratory data analysis (EDA). Then, it deploys a deep learning (DL)-based regression framework by utilizing a deep neural network (DNN) to perform predictive modeling of NBD for developed and developing nations. Subsequently, we use two explainable artificial intelligence (XAI) techniques, Shapley values and a partial dependence plot, to unveil the influence patterns of chosen enablers. Finally, the results from the DL method are validated with the explainable boosting machine (EBM) method.

This research analyzes the role of 28 potential socio-economic enablers of NBD in developed and developing countries. This research finds that the NBD in developed countries is predominantly governed by the contribution of manufacturing and service sectors to GDP. In contrast, the propensity for research and development and ease of doing business control the NBD of developing nations. The research findings also indicate four common enablers – business disclosure, ease of doing business, employment in industry and startup procedures for developed and developing countries.

NBD is directly linked to any nation's economic affairs. Therefore, assessing the NBD enablers is of paramount significance for channelizing capital for new business formation. It will guide investment firms and entrepreneurs in discovering the factors that significantly impact the NBD dynamics across different regions of the globe. Entrepreneurs fraught with inevitable market uncertainties while developing a new idea into a successful new business can momentously benefit from the awareness of crucial NBD enablers, which can serve as a basis for business risk assessment.

DL-based regression framework simultaneously caters to successful predictive modeling and model explanation for practical insights about NBD at the global level. It overcomes the limitations in the present literature that assume the NBD is country- and industry-specific, and factors of the NBD cannot be generalized globally. With DL-based regression and XAI methods, we prove our research hypothesis that NBD can be effectively assessed and compared with the help of global macro-level indicators. This research justifies the robustness of the findings by using the socio-economic data from the renowned data repository of the World Bank and by implementing the DL modeling with validation through the EBM method.

As little is known about the productivity levels of small and medium-sized enterprises (SMEs) engaging with universities and the relative changes in productivity of SMEs subsequent to these collaborations, the paper examines the following questions: (1) Does the relative productivity of SMEs engaging in university collaboration differ from those that do not? (2) Are subsequent changes in firm productivity following university collaboration related to their initial levels of productivity?

The paper utilises data on 254 SMEs from the Longitudinal Small Business Survey and uses two statistical techniques: First, bivariate tests of difference were used to inspect the relationships between productivity levels and whether the firm collaborated with a university to introduce its innovation. Second, ordinary least squares regressions were used to test whether the future productivity of SMEs that collaborated with universities was related to their initial productivity levels.

The analysis reveals that SME–university collaboration is unrelated to starting productivity. Furthermore, the analysis suggests a nonlinear relationship exists between the starting productivity of SMEs and their subsequent productivity following a university collaboration. Therefore, higher levels of subsequent productivity are observed among those SMEs where starting productivity was either relatively low or high, suggesting that collaborations have a transformative effect on SMEs with relatively lower initial levels of productivity and a maintenance effect for SMEs with relatively higher levels of initial productivity.

Given the fact that the extant literature also suggests that, overall, university collaboration is beneficial, policymakers should strive to encourage greater levels of collaboration involving SMEs. In light of the evidence that SME–university collaborations can transform less productive firms, it appears unjustified for practitioners and policymakers to only consider stronger-performing firms to be included in such programmes.

The study contributes new theoretical and practical knowledge to the understanding of the role of firm productivity in predicting the proclivity of firms to collaborate with universities. Furthermore, as few studies have examined the impact of these collaborations on the subsequent productivity of firms that collaborate with universities, this paper fills an existing gap in the literature.

Entrepreneurship, sustainability, and the creation of a resilient, green economy are intricately linked, particularly as conventional economic models grapple with existential challenges. However, empirical research addressing the connection between entrepreneurship and sustainability for a more balanced and resilient future is notably scarce. This chapter aims to bridge this gap by investigating the role of entrepreneurship in advancing sustainability and establishing a resilient, green economy. Through comprehensive research utilizing critical discourse analysis (CDA), three research questions were explored to draw insightful managerial and practical implications. In the intersection of entrepreneurship, sustainability, and a green, resilient economy, opportunities are seized by entrepreneurship amid limitations, while sustainability presupposes responsible management of resources for current needs without compromising the future. A green economy ensures adaptability, growth, and ecological stability even in resource-scarce conditions. The CDA affirms the influential role of entrepreneurship in pursuing sustainability and a green, resilient economy, drawing from 18 cases across public, private, and social sectors to highlight environmental, social, and economic impacts. Furthermore, the CDA uncovers power dynamics, ideologies, and social structures affecting entrepreneurship’s role in fostering sustainable and resilient, green economies. Collaborations between governments, corporations, and social ventures in diverse countries promote sustainability within existing social structures, fostering comprehensive development. However, imbalanced power dynamics pose challenges, risking potential social exclusion. This chapter concludes by addressing practical implications and limitations, aiming to contribute to an ecologically balanced and socially equitable future by understanding entrepreneurship’s role in promoting sustainability and green resilience within the context of power dynamics, ideologies, and social structures.

Firms are driven to ride on the digital wave in today’s open innovation ecosystem. This study aims to explore the effect of digital transformation (DT) on knowledge-intensive business services (KIBS) firms’ innovation ambidexterity, namely, radical versus incremental innovation, respectively. Meanwhile, the authors evaluated the moderating role of the complexity of R&D collaboration portfolio (i.e. organizational diversity and geographic diversity) in the above relationships.

Using a panel data set of 171 Chinese listed firms in the information and communications technology services industry from 2010 to 2018, the proposed hypotheses were empirically attested.

It is found that DT has a positive relationship with radical innovation and an inverted U-shaped relationship with incremental innovation. In terms of the R&D collaboration portfolio, organizational diversity positively moderates the relationships between DT and innovation ambidexterity, respectively. The geographic diversity weakens the inverted U-shaped effect of DT on incremental innovation; however, its moderating role in the link between DT and radical innovation is not empirically verified.

Extant scholars mainly addressed the interplay between KIBS firms and their manufacturing clients, while this study reveals the different consequences of DT on KIBS firms’ innovation ambidexterity to highlight the role of KIBS firms is an independent and essential innovator in a knowledge-driven economy. Notably, the findings contribute to knowledge management (KM) and R&D literature by confirming the diversity of the R&D collaboration portfolio is a critical KM strategy for KIBS firms to develop and promote external knowledge resources.

This study analyzes the role of regional cooperative banks in identifying and financing small and medium-sized enterprises (SMEs) from a proximity perspective. Access to finance is a major challenge for SMEs. Regional cooperative banks can remove this barrier based on cooperative bank's characteristics and geographic proximity to SMEs. Understanding the interplay between these financial actors and firms can contribute to a better support of SMEs development.

The results are based on a case study of eight SMEs located in southwestern France. Interviews were conducted with two regional cooperative funds and eight SMEs. The interview guide included questions related to the company, the projects financed and how financing was accessed.

Results reveal that a combination of three forms of proximity allows regional cooperative banks and SMEs to establish effective financing operations. They show that regional cooperative banks are key players in the existing financing mechanisms for SMEs. Such financing is often used to gain access to larger players at a later stage. The findings suggest the need for public policies that promote the integration of financing actors in regional ecosystems to advance SMEs' development.

This article examines how SMEs access financing, with a focus on regional cooperative banks, which have received little attention in the literature. Moreover, the relationships between these actors are studied through the lens of proximity. Regional cooperative banks are able to finance projects that may have been overlooked by traditional banks due to trust-building local dynamics.

The purpose of this study is to contribute to the research of knowledge management in higher education institutions (HEIs) by studying the enablers of knowledge entrepreneurship. Anchored in the dynamic capability theory, knowledge entrepreneurship is heterogeneously distributed in HEIs and is critical for the sustenance of organizations in the knowledge economy. This aim is realized by understanding the determinants of knowledge entrepreneurship and empirically investigating the relationship of knowledge-sharing behaviour and entrepreneurial leadership with knowledge entrepreneurship.

Data was collected through structured questionnaires from 550 faculty members of HEIs in Pakistan by adequately representing the sample size through regional stratification and proportionate sampling. Data was analyzed through the Analysis of Moment Structures software where the data validation and reliability were achieved using correlations, confirmatory factor analysis and structured equation modelling to generate generalizable results.

The findings revealed that knowledge sharing is an important component in developing knowledge entrepreneurship. Entrepreneurial leadership is pivotal in providing the support, vision and autonomy to individuals with personal and professional capabilities to ensure the creation of new knowledge, collaboration and innovation.

The study contributes to an understanding of relationship of knowledge sharing and entrepreneurial leadership that leads to promotion of knowledge entrepreneurship in HEIs of Pakistan. In addition, the findings of the study extend the existing literature on knowledge entrepreneurship by offering the positive mediating role of entrepreneurial leadership in the universities of Pakistan, hence, addressing the specific challenges and opportunities faced by the HEIs of a developing country like Pakistan. The theoretical framework of the study elucidates the importance of knowledge sharing and entrepreneurial leadership by using the dynamic capabilities theory and extends the scope of the aforementioned theory in entrepreneurial leadership realm.

By generating an understanding of the dynamics of knowledge entrepreneurship this study tries to help policymakers and educational leaders to develop strategies to cultivate a culture of knowledge sharing and entrepreneurial leadership in Pakistani HEIs. Building the entrepreneurial ecosystem entails prioritizing knowledge creation, knowledge sharing and retention that can lead to innovative solutions for local and global challenges.

The study used dynamic capabilities theory to link the knowledge and resources together for the education sector for sustainable outcomes in the knowledge economy. To the best of the authors’ knowledge, this is the first study to empirically study the behaviour of HEIs to create and support knowledge entrepreneurship in the presence of entrepreneurial leadership in the context of a developing country, Pakistan. Becoming a knowledge-based society will help Pakistan upgrade itself to the list of developed countries.