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Crossed helical gears have point contact and their surfaces are subject to high surface stress. Contact stress and root tooth stress are the most common sources of failure in crossed helical gear. This paper aims to study the load-carrying capacity and performance of crossed helical gear teeth with different gear tooth profiles. To overcome defects and reduce the sensitivity to small shaft angle changes. The combined tooth profile is designed to reduce the bending stresses, contact stresses and tooth deflection, and prevent pinion failure in the gearbox.

The principle of the method is a line contact is introduced instead of a point contact between two teeth in mesh with each other. The tooth surface of the helical gear is designed and cut by a modified tool. Higher normal pressure angles like 25° and 35° are used. The modified involute is accomplished to eliminate interference between the teeth. Engineering software packages have been applied to generate all crossed helical gears gear profiles. The modification is compounding curves consisting of an epicycloid-involute-hypocycloid gear teeth profile generated by the cutter modified.

The stresses in the crossed helical gear teeth profile were reduced by increasing the normal pressure angle values. Using a 35° pressure angle the enhancement percentage in contact stress and teeth fillet region will be about 29.345% and 15.421%, respectively. The best enhancement in a gear’s resistance is the epicycloid-involute-hypocycloid gear teeth profile. The enhancement was 32.610% and 18.588%. The skew in line of action in skewed helical gear will be sensitive when the crossing angles are small. Their teeth surface tends to be easily worn out; however, the wearing process will be reduced by using a proposed gear teeth profile.

The gear teeth to be modified are cut by a shaper process. The modifying rack cutter of this study can be used as a reference for creating a different helical gears sample. The helical teeth surface is modified to become an envelope of the other. This makes an original point contact change into a line contact. The epicycloid-involute-hypocycloid gear teeth profile is preferred for a higher contact ratio and a large load capacity. This work explicitly introduces a new method of kinematic consideration to improve the load capacity of crossed helical gear.

This paper showed some novel results by the unique shape of the rack-cutter designed to generate different helical angles and different gear positions. In the future, it will make valuable contributions to the further development of the dynamic performance of a crossed helical gear system through the study in the field of using asymmetric teeth profiles of helical gears with tip relief as the manner to enhance the crossed helical gear performance. Investigation of crossed helical gear by applying a predesigned parabolic function of transmission error enables the absorption of linear discontinuous functions caused by misalignment.

As environmental protection and sustainable development become more widely recognized, greater emphasis has been placed on the significance of green supplier selection (GSS), which can support businesses both upstream and downstream in enhancing their environmental performance while preserving their strategic competitiveness. Therefore, this paper aims to propose a new framework to study GSS.

Firstly, this paper establishes a GSS evaluation criteria system including product competitiveness, green performance, quality of service and enterprise social responsibility. Secondly, based on the spherical fuzzy sets (SFSs), the Average Induction Ordered Weighted Averaging Operator-Criteria Importance Through Inter Criteria Correlation (AIOWA-CRITIC) method is used to determine the subjective and objective weights and the combination of weights are determined by game theory. In addition, the GSS framework is constructed by the Cumulative Prospect Theory-Technique for Order Preference by Similarity to Ideal Solution (CPT-TOPSIS) method. Finally, the validity and robustness of the framework is verified through sensitivity comparative and ablation analysis.

The results show that Y3 is the most promising green supplier in China. This study provides a feasible guidance for GSS, which is important for the greening process of the whole supply chain.

Under spherical fuzzy sets, AIOWA and CRITIC are used to determine weights of indicators. CPT and TOPSIS are combined to construct a decision model, considering the ambiguity and uncertainty of information and the risk attitudes of decision-makers.

To assess South Africa’s (SA’s) citrus export competitiveness in the global market and identify its macroeconomic drivers.

The Normalized Revealed Comparative Advantage (NRCA) index is employed to measure export competitiveness. An ARDL-EC model is then estimated to identify the macroeconomic determinants of SA’s citrus export competitiveness.

SA’s citrus export competitiveness declined before the mid-1990s and rose thereafter. On balance, the country improved from the fourth to the second most competitive citrus exporter. A long-run relationship was established between the NRCA scores and the real exchange rate and real GDP per capita growth rate. The export price exerted a positive short-run influence on citrus export competitiveness. The rise in SA’s citrus export competitiveness since the mid-1990s was mainly driven by the rising citrus export price and real exchange rate depreciation.

Future research could explore the determinants of SA’s export competitiveness using panel gravity models of bilateral trade flows to isolate the impact of macroeconomic variables and trade restricting/enhancing policies of importing countries.

The article employs the NRCA index, which can measure comparative advantage across space and over time. It is the first to econometrically estimate the macroeconomic determinants of citrus export competitiveness in SA. Application of the ARDL-EC framework yields both short- and long-run effects of macroeconomic variables on export competitiveness.

This study aims to examine how women entrepreneurs in Kazakhstan's male-dominated sectors utilize the concept of positionality to navigate and redefine gender norms, focusing on their engagement with entrepreneurial masculinities and femininities. It explores the transformative potential of their strategic actions on gender dynamics within the entrepreneurial ecosystem.

Employing qualitative research through 27 in-depth interviews, this study adopts constructivist grounded theory to delve into how women entrepreneurs interact with gender norms within their entrepreneurial context. This approach highlights the dynamic interplay between gender norms and the strategies employed by women entrepreneurs to navigate these challenges.

The findings reveal that women entrepreneurs actively employ and navigate entrepreneurial masculinities and femininities as strategies to challenge traditional gender roles. Their approaches vary from conforming to, challenging and creatively redefining the gendered expectations encountered in their entrepreneurial journey. This demonstrates their agency in reshaping gender norms and contributing to the diversity of gender performances within the domain of entrepreneurship.

While focused on Kazakhstan, the study's findings suggest broader implications for understanding gender dynamics in entrepreneurship across different cultural contexts. Future research could extend this inquiry to varied sociocultural settings, employing post-structuralist and ethnographic methodologies to further explore the performance of gender roles and the negotiation of belonging in entrepreneurial contexts.

By foregrounding the concept of positionality, this study enriches the dialogue on gender dynamics within entrepreneurship, offering fresh perspectives on the agency of women entrepreneurs in male-dominated sectors. It illustrates how gender identities and performances are not fixed but are actively constructed and negotiated, contributing to the evolving landscape of entrepreneurial masculinities and femininities.

This study investigates the relationship between CEO power and the risk profile (RP) of acquiring banks through mergers and acquisitions (M&A) transactions.

The analysis is based on 214 transactions between 2010 and 2022 involving European Union-based acquirers. To assess the impact of M&A on the acquiring bank’s RP, we compare changes in the acquirer’s RP to control banks. We use linear regression with two-stage least squares instrumental variables (2SLS-IV) to examine the effect of CEO power on changes in merger-related risk.

The findings suggest that CEO power reduces the RP of the acquiring bank. Specifically, CEOs who hold both the CEO and board chair positions tend to take fewer risks. Additionally, CEOs with high ownership, CEO pay and extensive experience (measured by tenure and acquisition experience) decrease the RP. However, prestige power is positively correlated with an increase in RPs.

This research examines CEO influence on bank risk post-mergers, providing insights into governance, risk and strategic choices. The findings can guide banks in CEO selection and governance to mitigate M&A risks, improving risk management and decision-making in the financial sector.

This study is the first empirical investigation introducing diverse executive power metrics to analyze the link between executive power and risk-taking in the European banking sector, with a specific emphasis on the impact on M&A as critical investment choices.

In this study, we aim to investigate entrepreneurial intention (EI) among potential entrepreneurs who were students at Pakistan’s higher education institutes (HEIs) of technical and vocational education and training (TVET).

We used a quantitative and correlational method in this study, and we based its theoretical framework on the theory of planned behavior (TPB) and the entrepreneurial event model (EEM). We based this study’s findings on 367 samples collected from Pakistan’s HEI TVET students who were potential entrepreneurs.

By employing path analysis, the findings reveal that TPB constructs, such as personal attitudes (PA), subjective norms (SN) and perceived behavioral control (PBC), have a positive and significant effect on EI. The findings show, also, that EEM constructs, such as perceived desirability (PD), perceived feasibility (PF) and propensity to act (PT) are positive and significant predictors of EI. Moreover, self-efficacy (SE) and the quality of TVET (QTT) positively and significantly affect EI.

This study’s findings support the improvement of Pakistan’s HEIs in developing TVET to enhance individuals’ skills and, ultimately, to create employment and socioeconomic circumstances. They also assist Pakistan’s HEIs in developing EI among their TVET potential entrepreneurs to ensure that they are sufficiently equipped for the job markets.

This study’s findings empirically confirm that TPB, EEM, SE and the QTT provide an integrated path for Pakistan’s entrepreneurs.

This study examines how local governments and enterprises can implement ecological restoration of abandoned mines based on ecology-oriented development (EOD), which will be more beneficial to local environmental protection and economic development under the central government’s policy of outcome incentives or process subsidies.

We construct a dynamic differential game model to simulate the interactions between local governments and enterprises during the ecological restoration of abandoned mines from an EOD perspective.

The findings suggest that under the central government’s outcome incentive policy, cooperation between local governments and enterprises is an optimal strategy. Under the process subsidy policy, while neither cooperative nor non-cooperative models significantly affect the investment levels of local governments and enterprises, a cooperative approach ensures optimal investments from both without solely relying on the process subsidy. Additionally, incorporating altruistic preferences can lead to Pareto improvements in economic and environmental results under central government outcome incentives.

This research offers a policy foundation for governments to encourage the EOD model in the ecological restoration of abandoned mines. It provides theoretical support for achieving environmental sustainability and high-quality economic development, and is particularly significant for resource-depleted cities seeking to transform their development strategies.

Through a dynamic differential game model involving government agencies and enterprises to simulate decision-making in the ecological restoration of abandoned mines, incorporating altruistic preferences into this restoration process, and identifying optimal strategies and policies for ecological restoration.

This study delves into the nuanced relationship between financial constraints, ownership structures (state-owned and foreign) and innovation engagement within China’s A-share market, aiming to uncover how these dynamics vary across different industries and regional contexts.

By retrieving data from various datasets in China (2010–2022), this study analyzed the effectiveness of each variable, employing various dimensions to reflect innovation engagement among Chinese listed companies. Meanwhile, for the measurement of financial constraints, this study tested all four typical ones and opted for the KZ Index, as it is the most suitable for China’s A-share market. Then, by fixing the industry and year effects, the study examined the main and moderating effects. At last, in order to address endogeneity issues and capture the dynamic nature of innovation activities, this study follow the suggestion of Khatib (2024) and employed the two-step system Generalized Method of Moments (GMM) estimation.

The results demonstrate that while the government has introduced many policies to promote innovation, state-owned ownership does not consistently enhance innovation engagement as expected, especially when firms are in financial dilemma. Particularly, in Hi-tech industries, foreign ownership demonstrates greater interest and confidence in the innovation capabilities of China’s A-share market. Findings also reveal significant regional heterogeneity in the moderating role of ownership structures. While state-owned and foreign ownerships have a buffering effect against financial constraints in the eastern and western regions, but this effect is notably different in the middle part, even though it is China’s political heartland.

The findings offer a different insight for policymakers and corporate strategists, suggesting that targeted financial and regulatory policies that leverage specific ownership structures can foster innovation in different ways, particularly in financially constrained environments. However, how to stimulate innovation vitality in the middle part of China still requires further research.

The purpose of this paper is to examine the influences of employee perception of corporate social responsibility (CSR) in the Readymade Garment Industry (RMG). The RMG industry in Bangladesh has faced constant criticism of their working practices, and following some fatal incidents, the industry was faced with external pressures of implementing CSR practices and policies. Manufacturers invested and initiated CSR in their business and marketing strategy to survive in the global competition. Employees are internal stakeholders that help to implement and disseminate strategies successfully; however, there is not enough knowledge in the area of employee perception of CSR.

The paper is an exploratory study using the quantitative data collection method. In total, 128 responses have been collected from participants who are employees of garment factories in Bangladesh to understand their perception of CSR. Regression analysis has been conducted to ascertain the relationships between the factors that influence employee perception. Theories of stakeholder management, organizational citizenship behaviour, social exchange theory and employee engagement have been used to analyse the factors that influence employee perception.

The findings show that the factors that influence perception of CSR are not confined to the stakeholder’s initiatives but are significantly dependent on the employees’ direct involvement, engagement and personal values as a beneficiary and an executioner. In addition to the stakeholder’s initiatives that are a key deliverable to the marketing strategy, the employees are influenced by their personal beliefs and practices that can be associated with influences of religion, culture and the wider social landscape.

The data is limited to a small number of factories located near the capital, Dhaka, this is a small sample compared to the 4,000 factories in Bangladesh. Further research can be conducted based on a larger data set, which could represent a wider range of employee perspectives from different factories relating to size, product category and geographical location. The study does not expand on the factors that influence employee perception specifically.

The findings of the study can help the employers understand that the organization’s priority and participation are not the only factors that influence the employee’s perceptions. The employees’ assessment of the stakeholder’s intentions of CSR, which are reflected in the organization’s priority, shapes employee perceptions that are influenced by their personal values and beliefs. The awareness of the factors that influence the employees will enable organizations to motivate them and deliver on expectations of the business partners.

It is the practices aimed at the employees that enhance their engagement in CSR that enable them to reciprocate and influence their perception of the organization’s fair and genuine motives. The effectiveness of this aids the macro-marketing aspects of managing social concerns and the impact of businesses.

The data collected is primary data from employees of garment manufacturers. The hypothesized framework is developed by the authors, and the outcomes of the factors that influence the employee perception of CSR are escalated from the analysis conducted by the authors.

Experts may adjust their assessments through communication and mutual influence, and this dynamic evolution relies on the spread of internal trust relationships. Due to differences in educational backgrounds and knowledge experiences, trust relationships among experts are often incomplete. To address such issues and reduce decision biases, this paper proposes a probabilistic linguistic multi-attribute group decision consensus model based on an incomplete social trust network (InSTN).

In this paper, we first define the new trust propagation operators based on the operations of Probability Language Term Set (PLTS) with algebraic t-conorm and t-norm, which are combined with trust aggregation operators to estimate InSTN. The adjustment coefficients are then determined through trust relations to quantify their impact on expert evaluation. Finally, the particle swarm algorithm (PSO) is used to optimize the expert evaluation to meet the consensus threshold.

This study demonstrates the feasibility of the method through the selection of treatment plans for complex cases. The proposed consensus model exhibits greater robustness and effectiveness compared to traditional methods, mainly due to the effective regulation of trust relations in the decision-making process, which reduces decision bias and inconsistencies.

This paper introduces a novel probabilistic linguistic multi-attribute swarm decision consensus model based on an InSTN. It proposes a redefined trust propagation and aggregation approach to estimate the InSTN. Moreover, the computational efficiency and decision consensus accuracy of the proposed model are enhanced by using PSO optimization.