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In electrical discharge machining (EDM) process, EDM oil used as a dielectric fluid plays an important role in determining quality of the machining operation, serving as a medium to generate controlled electrical discharges, quenching medium to cool down and solidify the eroded gaseous particles, removal of solidified waste, and lubrication medium to absorb and remove the heat generated at the machining zone. Due to presence of numerous decisive factors, no single dielectric fluid (mainly in the form of EDM oil) meets all the required characteristics during a real-time EDM operation. Thus, this paper proposes application of an integrated methodology to select the most appropriate EDM oil for enhanced machining performance during deep-hole drilling of aluminum bronze alloy.

A good dielectric fluid should possess several characteristics, like low cost, non-toxicity, low viscosity, good wetting property, high flash and fire points to avoid fire hazards, chemically non-corrosive, high electric strength and specific gravity, minimal aromatics and good quenching behavior. In this paper, performance of 10 alternative EDM oils is evaluated based on six selection criteria. Integrated determination of objective criteria weights (IDOCRIW) method is adopted to compute the criteria weights, whereas double normalization-based multiple aggregation (DNMA) approach is applied to identify the best-suited EDM oil from the candidate alternatives.

Spark SPO-A EDM oil appears as the most suitable dielectric fluid, followed by Fine Spark 110. Contrarily, Exxsol D80 emerges as the worst choice.

The robustness of the adopted methodology is finally validated through sensitivity analysis studies. It can thus be applied to solve any of the decision-making problems with high degree of accuracy and consistency.

This study evaluates the impact of Avatar-led Green Training on enhancing organizational citizenship behavior for the environment (OCBE) and green creativity among employees in the hospitality sector. This study aims to understand how such innovative training influences green engagement and workplace spirituality, exploring the role of employees’ biospheric values in this context.

The research involved implementing Avatar-led Green Training courses for 724 hotel employees, followed by comprehensive online surveys. The collected data were analyzed using partial least squares structural equation modeling to assess the effectiveness and implications of the training.

Findings indicate that Avatar-led Green Training significantly enhances green engagement in OCBE, primarily through the development of workplace spirituality. Additionally, the study discovers a moderating effect of biospheric value on the training’s efficacy in fostering workplace spirituality, underlining its critical role in environmental consciousness and creativity.

This research benefits managers, human resources professionals, senior leaders and employees by enhancing training effectiveness and workplace satisfaction, while also positively impacting the industry’s environmental footprint and reputation.

This study’s originality lies in its exploration of artificial intelligence (AI)-driven training methods, particularly Avatar-led Green Training, in enhancing OCBE and green creativity in the hospitality sector. It offers a novel perspective on how technology can be leveraged for environmental stewardship and employee engagement.

In 2016, Kingdom of Saudi Arabia (KSA) initiated Saudi Vision 2030, an ambitious plan to lessen the country's dependency on fossil fuels and increase economic diversification. The Vision 2030 framework strives to establish a thriving economy, a vibrant society and an ambitious nation. This study aims to investigate the role of green service innovation (SI) and green work engagement (WE) in mediating the nexus between green human resource management (HRM) and green creativity (GC) under conditional role of spiritual leadership (SL).

A survey was done of 300 female intrapreneurs working in the organization within Saudi Arabia. This study has collected data via stratified random sampling technique. The framework was tested using PLS-SEM software.

The findings reveal that WE fully intervenes the nexus between green HRM and GC. Moreover, SL positively moderates the nexus between green HRM and SI.

Thus, based on findings, it is recommended that female intrapreneurs prioritize environmentally responsible operations to gain and sustain competitive edge over rivals in Saudi competitive market.

Despite great consensus on the positive impact of big-data-driven artificial intelligence (AI) analytics (BDAI) on a firm’s performance, it still appears to be a black box mechanism through which small and medium-sized enterprises (SMEs) strengthen their dynamic competencies to innovate and expand their global footprint. To fill this theoretical and empirical gap we examine the relationship between BDAI affordances, digital marketing capabilities (DMCs), value-chain innovation and international market goals.

The study incorporates the dynamic capability view an extension of the resource-based view and the knowledge-based view to empirically examine the primary data collected from marketing managers and executives of SMEs in cultural and creative industries utilizing Structural Equation Modeling (SEM) analysis.

The study highlights the significant role of BDAI affordances such as intelligent process recommendations, customer intelligence and market intelligence on DMCs, where DMCs significantly affect value-chain innovation and international market strategy both directly and indirectly.

The study minimizes the gap in identifying the BDAI affordances to drive innovation and international market strategy in the context of SMEs in cultural and creative industries. Marketing managers can incorporate these findings to enhance their digital capabilities for competitive advantages in international markets.

The study proposes a holistic framework of BDAI affordances for the strategic use of digital resources and knowledge to transform digital capabilities into new forms of value to expand in the international market. These insights are robust and grounded in findings provided by marketing practitioners.

This study aims to examine how entrepreneurial climate, gender inequality perception and self-efficacy affect female students’ entrepreneurial attitudes and intentions, with the moderating role of perceived family support.

This study collected data from 466 female students studying at universities in an emerging economy, i.e. Vietnam. This study assessed the proposed relationships between the examined variables using partial least squares structural equation modeling.

The results reveal that entrepreneurial climate, as a stimulus factor, significantly influences organism factors, including gender inequality perception, self-efficacy and attitude toward entrepreneurship. Furthermore, gender inequality perception is identified as a barrier to self-efficacy, attitude toward entrepreneurship and entrepreneurial intention. Also, self-efficacy positively influences attitudes toward entrepreneurship and both factors jointly predict entrepreneurial intention. Lastly, perceived family support moderates the relationships between entrepreneurial intention and its antecedents.

This study extends the extant knowledge about the factors affecting women’s entrepreneurial attitudes and behavior, especially in emerging economies. This study’s findings assist university managers, policymakers and researchers in developing effective strategies to reduce the adverse effects of gender inequality perception and promote women's entrepreneurial behavior.

The Arab countries have numerous environmental problems, including massive emissions of carbon dioxide, climate change and increasingly high temperatures. Many prior studies have explored the various determinants of environmental quality. However, few papers offer adequate empirical evidence on the role of technological innovation and financial development in determining environmental quality. To fill this gap, this study aims to investigate the impact of technological innovation and financial development on CO₂ emissions, controlling for several factors.

The study sample data cover 10 Arab countries over a 30-year period. Because of the existence of non-stationarity and cointegration, the authors use dynamic ordinary least squares and fully modified ordinary least squares models to perform regressions among the variables.

The statistical results reveal that technological innovation and financial development both negatively determine CO₂, which implies that both factors ensure environmental quality in this region. A developed financial sector facilitates access to funds for technological innovation and thus enables the adoption of cleaner production technologies and renewable energy sources. Both factors reduce environmental degradation. In addition, advanced financial systems incentivize investment in ecofriendly projects and promote sustainable practices, fostering a conducive environment for improving environmental quality. The empirical analysis then reveals the pollution halo effect of foreign direct investment inflow.

Based on the empirical findings, the authors recommend increasing investment in research and development activities and pay more attention to improvement of the financial sector. Both factors can enhance environmental sustainability in Arab countries.

This study provides robustness for prior analyses and adds to the literature by widening the coverage to include Arab countries.

The fact that Islamic banking in Indonesia held only a 7% market share in 2023 is ironic, considering that Indonesia has the largest Muslim population in the world. Beyond differences in ethnicity, race and religious understanding, Indonesia’s sociopolitical diversity also presents an intriguing study area about consumer decisions to use financial services. This study aims to investigate the influence of sociopolitical identity on attitudes and intentions to participate in Islamic banking in Indonesia using the theory of reasoned action as a basis.

This study used SEM-PLS to investigate the intention to participate in Islamic banking among Muslim communities in Indonesia. Its focus on prediction and theory building aligns perfectly with the objectives of this study, making it the most appropriate methodological choice. The sample used in this study comprised 343 respondents. The structural model was used to test the relationship between intention to participate in Islamic banking and religiosity, subjective norms, attitudes and sociopolitical identity, with reputation as mediation.

This study found that three variables significantly affect the intention to participate in Islamic banks: attitude (AT), reputation (RP) and subjective norms (SN). Sociopolitical identity (SP) and religiosity (RE) do not have a direct effect. However, sociopolitical identity (SP), attitudes (AT) and religiosity (RE) have been proven to have an indirect impact through reputation (RP) as mediation, and only subjective norms (SN) have not.

This study implies that Islamic banking needs to consider non-marketing aspects because, based on its findings, non-marketing factors such as sociopolitical identity and religiosity have been proven to influence the intention to participate in Islamic banking in Indonesia.

This study’s respondents were two Muslim communities in Indonesia with the largest mass and assets, namely, Nahdhatul Ulama and Muhammadiyah. The inclusion of non-marketing aspects, such as sociopolitical identity, in the research model added value, which is still rarely researched.

This study aims to explore the impact of financial management strategies on the financial performance of construction projects in Iraq, specifically investigating the moderating role of company size. The primary focus is to understand how different cost components contribute to performance and how this relationship varies between larger and smaller businesses in the construction industry.

Utilizing a sample of 296 participants from the construction business in Iraq, this research employed a survey questionnaire. The WarpPLS software facilitated data analysis, employing Partial Least Squares Structural Equation Modelling (PLS-SEM) with bootstrapping for model validation. Confirmatory factor analysis (CFA) with maximum likelihood estimation assessed the measurement model, ensuring a comprehensive understanding of the financial management strategies and performance relationship.

The study reveals that equipment costs show no significant relationship with performance in Iraq’s construction industry. Larger construction firms exhibit a positive influence on financial performance from material costs, labour costs and permit/licencing fees compared to smaller firms. This suggests a moderation effect of size on the relationship between these cost components and financial outcomes, highlighting the nuanced impact of financial management strategies on performance.

While shedding light on the size-dependent nuances in the relationship between financial strategies and performance, this study is confined to the construction industry in Iraq. The findings might not be universally applicable, and contextual variations should be considered. Additionally, the reliance on survey data introduces the potential for response bias. Future research could expand the scope to different industries and regions, incorporating diverse methodological approaches for a more comprehensive understanding of the nuances in the financial management and performance relationship.

Construction companies in Iraq can enhance project performance by strategically allocating resources and effectively managing costs, considering the nuanced impact of company size. Larger firms, in particular, should focus on optimising material costs, labour costs and permit/licensing fees to maximise financial outcomes. This study provides actionable insights for practitioners, guiding financial management decisions and offering practical recommendations for improving project performance in the Iraqi construction industry.

The research contributes valuable insights to the Iraqi construction industry, an area with limited prior research on management matters. By emphasising the role of size in moderating the relationship between financial strategies and performance, the study informs industry stakeholders, policymakers and professionals about the importance of tailoring financial management approaches based on company size. This knowledge can potentially lead to improved financial outcomes, positively impacting the overall economic and social landscape in Iraq.

This research adds to the body of knowledge by examining the impact of company size on the relationship between financial management methods and performance in Iraq’s construction projects. The study’s originality lies in uncovering the moderating effect of size on the connection between specific cost components and financial performance. The findings provide a unique perspective on financial management strategies, offering construction companies valuable insights into optimising performance based on their size. This research contributes significantly to an underexplored area, filling a gap in the existing literature and providing practical implications for financial decision-making in the construction industry.

This study aims to identify the significant scientific actors, reveal the intellectual structure and explore essential features for future research direction in Sharia governance studies.

The study applies a hybrid review combining bibliometric analysis and content analysis. It uses Rstudio (biblioshiny), VOSviewer and Microsoft Excel to analyze 457 articles published in 206 journals indexed by Scopus and/or Web of Science during the period of 1985 until the end of 2022.

The paper discovered four distinct streams of Sharia governance studies: structure of Sharia governance, Sharia governance and risk management, Sharia governance and sustainability and the effect of Sharia governance toward firm’s financial performance. Furthermore, it derives and summarizes 26 main research questions for future studies.

In terms of theoretical implications, the finding contributes to the general literature on Sharia governance by conducting bibliometric analysis and content analysis. In terms of practical implications, this study suggests that Sharia governance should be strengthened by the management of Islamic banks and other Islamic-based businesses.

To the best of the authors’ knowledge, this study is among the early studies using a hybrid review on the topic of Sharia governance, allowing future researchers in this field to capture the trends and progress of current literature as well as the research gaps to be filled in by future researchers.

The purpose of this paper is to develop and test empirically a new holistic performance measurement model that integrates the best of current performance measurement frameworks and methodologies and builds upon the resource-based view to strategic management.

A survey collected responses from 379 top-, middle- and supervisory-level managers from 3 telecommunications service providers in Egypt. The hypothesized direct relationships were tested through multiple linear regression (using SPSS software), and the mediating effect was tested using the structural equation modeling technique (using AMOS software).

The results reveal that the proposed model is a reliable and valid instrument for measuring and managing holistic organizational performance. The results also reveal that Egyptian telecommunications companies have primarily emphasized the use of structural and relational capital to enhance their service quality (SQ) and performance outcomes (POs). Moreover, SQ was found to significantly and partially mediate the effect of organizational capitals (OCs) on POs.

The proposed model is a novel model that needs further investigation using various research designs and multiple research methods to assure its reliability and validity as a holistic performance measurement system.

The Egyptian telecommunications companies should efficiently manage and leverage all four components of OCs, especially the components of intellectual capital to improve their SQ and consequently enhance their POs.

To the best of the authors’ knowledge, this is the first research to study the relationships among OCs, SQ and POs, merge them in an integrated performance measurement model and test this model empirically in the Egyptian telecommunications setting.