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The purpose of this study is to reduce the cogging torque in axial flux permanent magnet (AFPM) machine using optimal magnet shape.

This study analyzes different magnet shapes for AFPM machine performance enhancement. Three-dimensional (3D) finite element analysis is performed to see the effects of pole shaping on the cogging torque of the AFPM machine.

The magnetic pole shape has a significant effect on cogging torque and overall efficiency. The conventional model has the highest torque whereas the conventional skewing affected cogging torque positively and significantly reduced the cogging torque. The combination of skewing the pole along with face curving is more effective and decreases the cogging torque from 3.88 Nm to 1.5 Nm.

Rare-earth magnets are the most expensive and important part of AFPM machines. Shape and volume optimization of rare-earth magnets is crucial for the performance of AFPM machines. The research aims to analyze the different permanent magnet designs for performance improvement of the AFPM machine. Conventional flat top trapezoidal, curved-top and skewed-magnet shapes are analyzed and the performance of the AFPM machine is compared with different magnet shapes. Curved-top shape and skewed magnet significantly reduce the cogging torque. Furthermore, a combination of curved-top shape and skew magnet shape is proposed to reduce the cogging torque further and improve the AFPM machine’s overall performance. Newly proposed magnet profile gives skewed curve magnet shapes which reduce the cogging torque further. 3D finite element analysis has been used to analyze the single-sided AFPM with all four different magnet shapes. The research focuses on single-sided AFPM machines, but the results are also valid for double-sided AFPM machines and can be extended to other topologies of AFPM machines.

The purpose of this paper is to develop a macroeconomic framework to predict the impact of transient donor funding on a developing economy and to facilitate evaluation of the effectiveness of alternative uses of this funding in attaining the desired outcomes.

A simulation analysis of the macroeconomic impact of donor funding on the Lebanese economy is conducted.

The paper evaluates the potential outcomes for the country from alternative uses of this donor funding and concludes that targeting infrastructure expenditure, mediated through the government, will produce the most beneficial longer term outcomes.

This paper is the first substantive macro model to be developed for the Lebanese economy. It is the first major study of the contribution of donor funding to the Lebanese macro-economy. The framework, however, can be generalised to other developing donor recipient nations.

Adopting insights from the upper echelons theory, this study aims to investigate the relationship between entrepreneurial orientation (EO) and firm performance under the contingent influence of chief executive officer (CEO) power.

Data were collected from a sample of large publicly-traded Indian software firms using the Prowess Database of Center for Monitoring Indian Economy (CMIE). Panel data regression analysis was used to test the study's hypotheses.

The results indicate that EO has an inverted U-shaped relation with firm performance. Strong support is also found for a negative moderating influence of CEO power on the inverted U-shaped relationship between EO and firm financial performance, suggesting that powerful CEOs eventually harm entrepreneurial firms.

The study encourages firms to have entrepreneurship orientation, but at a moderate level, to get the maximum benefit of EO. The study also explains to managers to what extent CEO power drives EO.

The study contributes to the intersection of corporate entrepreneurship and upper echelons theory. The study shows that CEO power negatively affects the EO and firm's performance relationship. This study holds important insights for managers of entrepreneurial firms, especially in international contexts and emerging markets.

This study aims to examine a conceptual integrated framework for small- and medium-sized enterprises’ (SMEs) export performance that comprises all potential export determinants and inhibitors. This study also incorporates and examines the potential mediators of proactiveness (business strategy), innovativeness (innovation strategy) and export marketing strategy.

His research is based on the contingency theory, resource-based and market-based view, and it provides an integrated model about the research problem. The primary data are collected through direct survey amongst active SME exporters, and three main approaches of descriptive statistics, confirmatory factor analysis and structural equation modelling are applied for data analysis.

The results show significant effects of various internal and external firms’ determinants on their export performance in Qatar. Two mediators, proactiveness (business strategy) and innovativeness (innovation strategy), have key roles in enhancing SMEs’ export as well. The final research findings have significant implications for understanding all key drivers of SME export in Qatar, and it helps policymakers, regulators and service providers to improve the current SME ecosystem and their services to SMEs. Finally, the results of this study can be extended to other emerging markets with similar economic and legal structures.

Many obstacles discourage SMEs to move internationally, especially in emerging markets. This study focuses on the capacity building to enhance SME export activities in an emerging market. Even though the latest literature in the area of export performance has focused on firms from emerging economies, studies in this area are still limited. Earlier research in this area has mostly focused solely on the determinants of export performance from either internal factors, external factors or both without using adequately potential mediating factors, which could affect export performance.

This study aims to investigate the effects of three dimensions of ChatGPT strategic value – organization support (OS), managerial productivity (IM) and decision aids (DA) – on the business sustainability (BS) of Malaysian public universities.

A quantitative methodology was adopted for this study to examine the relationships between ChatGPT strategic value and the BS of Malaysian public universities.

The study found that two dimensions of ChatGPT strategic value, namely, OS and IM, influence BS, whereas DA do not.

To the best of the author’s knowledge, this study is the first to address the relationship between ChatGPT strategic value and BS in a specific context – Malaysian public universities – providing new contributions to theory by extending the literature on the topic.

The findings are expected to guide universities in Malaysia in leveraging ChatGPT strategic value for enhancing BS.

To the best of the author’s knowledge, this empirical study is the first in the literature to examine the relationships between ChatGPT strategic value and BS in the education sector. Supported by an original conceptual model, the insights provided should extend the literature dedicated to ChatGPT strategic value and BS in the context of a South Asian economy.

In recent years, especially after the COVID-19 pandemic, home textile production orders decreased significantly. This sudden drop in production has increased industry competition, making customer satisfaction more challenging. As a result, it has become imperative for the industry to deftly navigate such ongoing challenges.

This study examines textile production efficiency methodically. Customer requirements like quality, on-time delivery, better working conditions, cost-effectiveness and facility safety audits are understood first. Quality function deployment (QFD) turns client requirements into technical requirements. Prioritise and analyse risks using Monte Carlo simulation and Pareto charts. Consequently, experts and literature propose corrective measures, which are tested in a pilot run to see how they affect production.

QFD, define, measure, analyse, improve and control (DMAIC) and Monte Carlo simulation were used to reduce high-priority risks and meet client requirements in this study. The house of quality helped relate customers’ requirements and technical requirements. Monte Carlo simulation has also improved risk prioritisation by providing a flexible mathematical structure for identifying and managing the most important risks.

This study is novel in the way it applies this integrated approach to the understudied home textile sector. Unlike traditional DMAIC, this study introduces a novel matrix encompassing all defects. This study offers a data-driven approach to improve product quality, meet customer expectations and reduce prioritised risks in home textile manufacturing.

Various barriers discourage small and medium-sized enterprises (SMEs) from entering or expanding their export activities in the international markets, especially SMEs in emerging markets. The purpose of this study is to look at capacity building to accelerate SMEs’ export performance.

This study draws on contingency theory and takes a resource-based and market-based view to provide a holistic understanding of the issue. This study uses primary data collected via extensive surveys from active SMEs in three main industrial regions in Vietnam to undertake confirmatory factor analysis and structural equation modeling for quantitative analysis.

The results confirm and show the significant effects of various determinants on firms’ export performance. These research findings have scientific contribution and significant implications by understanding the effective internal and external export drivers and mediators in an emerging market and enhancing SMEs’ export performance.

This study helps SMEs to improve their export performance by systemizing their decision-making in export activities, improving main export drivers highlighted in this study and developing required training programs for their teams. The outcomes also helps policymakers and regulators to improve the current SME ecosystem in Vietnam through training programs, improving policies, facilitating trades, providing more government assistance etc. The results of this study can be extended to other emerging markets with a similar economic structure and legal system.

Given the need for more work on export performance, this paper develops and tests a holistic conceptual framework that accounts for all aspects of export drivers, and provides a more comprehensive model for examining SMEs’ export drivers. This theoretical framework also incorporates three potential mediators (i.e. innovation strategy, export marketing strategy and business strategy) to investigate the effect of internal and external factors on export performance, highlighting the importance of the mediating effects on SMEs in achieving growth and competing in the international arena.

This paper aims to investigate the financial performance of listed firms on the Australian Securities Exchange (ASX) over two sample periods (1998-2007 and 2008-2010) before and during the global financial crisis periods.

The generalized method of moments (GMM) has been used to examine the relationship between family ownership and a firm’s performance during the financial crisis period, reflecting on the higher risk exposure associated with capital markets.

Applying firm-based measures of financial performance (ROA and ROE), the empirical results show that family firms with ownership concentration performed better than nonfamily firms with dispersed ownership structures. The results also show that ownership concentration has a positive and significant impact on family- and nonfamily-owned firms during the crisis period. In addition, financial leverage had a positive and significant effect on the performance of Australian family-owned firms during both periods. However, if the impact of the crisis by sector is taking into account, the financial leverage only becomes significant for the nonmining family firms during the pre-crisis period. The results also reveal that family businesses are risk-averse business organizations. These findings are consistent with the underlying economic theories.

This paper contributes to the debate whether the ownership structure affects firms’ financial performance such as ROE and ROA during the global financial crisis by investigating family and nonfamily firms listed on the Australian capital market. It also identifies several influential drivers of financial performance in both normal and crisis periods. Given the paucity of studies in the area of family business, the empirical results of this research provide useful information for researchers, practitioners and investors, who are operating in capital markets for family and nonfamily businesses.

This chapter examines the influence of external public borrowing resources on economic progress in Tunisia. The study focuses on two stages: First, the influence is studied in a direct sense and then in an indirect sense, i.e., through a transmission channel of this influence. By applying the autoregressive distributed technique with staggered lags (ARDL), over a period ranging from 1986 to 2019, the results showed that the influence of external borrowing resources on growth seems to be unfavorable in the short term but positive in the long term, hence the importance of the empirical technique chosen. Second, three interaction variables were tested, namely total government expenditure, government investment expenditure, and the real effective exchange rate. The results obtained call for better attention to the channels identified to maximize the positive influence of external public debt on the country's economic progress.