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This study was conducted to analyze the effects of machining parameters on the specific energy consumption in the computerized numerical control lathe turning operation of a hardened alloy steel roll at low cutting speeds. The aim was to minimize its consumption.

The design matrix was based on three variable factors at three levels. Response surface methodology was used for the analysis of experimental results. Optimization was carried out by using the desirability function and genetic algorithm. A multiple regression model was used for relationship build-up.

According to desirability function, genetic algorithm and multiple regression analysis, optimal machining parameters were cutting speed 40 m/min, feed 0.2 mm/rev and depth of cut 0.50 mm, which resulted in minimal specific energy consumption of 0.78, 0.772 and 0.78 kJ/mm³, respectively. Correlation analysis and multiple regression model found a quadratic relationship between specific energy consumption with power consumption and material removal rate.

In the past, many researchers have developed mathematical models for specific energy consumption, but these models were developed at high cutting speed, and a majority of the models were based on the material removal rate as the independent variable. This research work developed a mathematical model based on the machining parameters as an independent variable at low cutting speeds, for a new type of large-sized hardened alloy steel roll. A multiple regression model was developed to build a quadratic relationship of specific energy consumption with power consumption and material removal rate. This work has a practical application in hot rolling industry.

Although karmic beliefs have been found to be positively correlated with pro-social behaviors, the role of karmic beliefs in social entrepreneurship remains relatively unknown. Drawing on the morally extended theory of planned behavior, this paper aims to explore the karmic aspect of social venturing, wherein individuals’ social entrepreneurial intentions and their moral antecedents are activated by karmic beliefs.

The study was performed on a sample of 401 university students in Vietnam. Cronbach’s alpha, confirmatory factor analysis and hierarchical regression analyses were then used to test the reliability, validity of scales and developed hypotheses.

The findings illustrate that karmic beliefs are strongly and positively correlated with empathy, moral obligation, social entrepreneurial self-efficacy and perceived social support. Moreover, individuals’ social entrepreneurial intentions are not only significantly and directly stimulated by karmic beliefs but also receive the indirect effects of karmic beliefs through three mediators: empathy, moral obligation and social entrepreneurial self-efficacy.

The study added fresh perspectives on the role of karmic beliefs in social entrepreneurship literature. Additionally, this study shed a new light on entrepreneurial literature by morally extending theory of planned behavior to explore underlying mechanisms of moral and empathetic components on transferring the effects of karmic beliefs on social entrepreneurial intentions.

This study aims to examine the association between non-audit fees and audit quality by using the context of gender-diverse audit committees. Further, the authors assess whether this link is moderated by industry-specialist auditors.

This study used non-financial FTSE-350 firms over the period of seven years. In addition, the authors use ordinary least squares regression to test the research hypotheses.

The authors find that female directors on audit committees are negatively related to non-audit fees, suggesting that non-audit fees reduce audit quality. Moreover, the results indicate that industry-specialist auditors positively moderate the link between gender-diverse audit committees and non-audit fees. This suggests that non-audit fees improve audit quality when the auditor is an industry-specialist.

The study does not support blanket restrictions on non-audit fees. It recommends regulators to consider industry expertise of auditors when devising non-audit fee restrictions. Moreover, the findings of this study have implications for firms aiming to understand whether non-audit fees could be used for enhancing audit quality.

By using the context of female directors on audit committees, the authors conclusively assess the link between non-audit fees and audit quality. Further, this study provides a more robust evidence on whether industry-specialist auditors affect the relationship between non-audit fees and audit quality.

The development of family-based microenterprises has attracted the attention of regulators, microfinance institutions and other stakeholders in either developing or least developed countries. In the finance literature, several studies have examined the determinants of the family-based microenterprises development; however, there are several venues that need to be examined. The study aims to explain the economic profit of microenterprises from resource-based theory and human capital perspectives.

Based on critical review and theoretical grounding, this study proposes a conceptual framework, which bridges intangible resources with economic growth of microenterprises.

After reviewing previous studies and based on the underpinning theoretical framework, the study finds that human capital is one of the variables that has received a little attention and yet to be examined as a moderating role. Based on the human capital theorist, individual's competencies help enterprises to perform better in business, as enterprises that possess competencies and capabilities are more likely to have higher levels of growth and profitability.

This finding provides useful implications for the stakeholders and policymakers and contributes in the future literature.

Based on critical review and theoretical grounding, this study proposes a conceptual framework, which bridges intangible resources with economic growth of microenterprises.

This paper studies the critical factors from the perspectives of technological quality, personal compatibility and organisational commitment using the technological adoption framework (TAF). The proposed TAF studies the critical factors that influence the intention to use building information modelling (BIM) taking into consideration of the “Perceived Ease of Use (PEU)” and “Perceive Usefulness (PU).”

The proposed study is a quantitative research study using the TAF model and the statistical analysis using “Partial Least Squares-Structural Equation Modelling (PLS-SEM).” The questionnaires are developed based on the literature review study and disseminated to the stakeholders in the Malaysian construction industry, including consultants, contractors, and clients. The data collected are analysed using PLS-SEM to identify the correlation between the critical factors influencing BIM adoption and the moderation influence of the PEU and PU towards the “Intention to Use (IU)” BIM.

The data collected from 185 construction industry stakeholders in Malaysia was utilised to develop the structural equation model. The measurement model was analysed in terms of composite reliability, discriminant validity, and collinearity issues. Subsequently, the SEM is analysed, and the findings on the hypothesis on the correlation between the critical factors and the intention to use BIM are examined. The study also examines the mediation effects of the PEU and PU towards the BIM adoption in the Malaysian construction industry.

This research conceptual framework, TAF, is derived from the integration of the existing underpinning theories of the technological adoption model and the technology–organisation–environment framework. This new TAF can be used for the study of new technology adoption. This cross-sectional research study is in line with the “Construction 4.0 Strategic Plan” in Malaysia to establish the current BIM adoption scenario and formulate the framework to promote incentives to promote BIM adoption.

Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate change factors and financial variables on rice production in India from 1970–2021.

This study is based on the time series analysis; the unit root test has been employed to unveil the integration order. Further, the study used various econometric techniques, including vector autoregression estimates (VAR), cointegration test, autoregressive distributed lag (ARDL) model and diagnostic test for ARDL, fully modified least squares (FMOLS), canonical cointegrating regression (CCR), impulse response functions (IRF) and the variance decomposition method (VDM) to validate the long- and short-term impacts of climate change on rice production in India of the scrutinized variables.

The study's findings revealed that the rice area, precipitation and maximum temperature have a significant and positive impact on rice production in the short run. In the long run, rice area (ß = 1.162), pesticide consumption (ß = 0.089) and domestic credit to private sector (ß = 0.068) have a positive and significant impact on rice production. The results show that minimum temperature and direct institutional credit for agriculture have a significant but negative impact on rice production in the short run. Minimum temperature, pesticide consumption, domestic credit to the private sector and direct institutional credit for agriculture have a negative and significant impact on rice production in the long run.

The present study makes valuable and original contributions to the literature by examining the short- and long-term impacts of climate change on rice production in India over 1970–2021. To the best of the authors’ knowledge, The majority of the studies examined the impact of climate change on rice production with the consideration of only “mean temperature” as one of the climatic variables, while in the present study, the authors have considered both minimum as well as maximum temperature. Furthermore, the authors also considered the financial variables in the model.

This paper aims to investigate the direct relationship between green human resource management (GHRM) practices and environmental performance (EP) in Palestinian universities, as well as the mediating role of management support (MS) and green organisational culture (GOC) in this relationship.

A quantitative approach was used in this study. The data were collected from 351 employees working in Palestinian universities through a questionnaire and analysed using partial least squares structural equation modelling.

The study finds that the implementation of GHRM practices positively enhances EP. The results further demonstrate that GHRM practices influence both MS and GOC. Furthermore, this study reveals that both MS and GOC play a significant role in mediating the relationship between GHRM and EP.

This study adds to the existing literature by providing a conceptual framework and empirical evidence of the correlation between GHRM, GOC, MS and EP, specifically in university settings. Educational institutions can use this study’s findings to foster a green culture and gain endorsement from top-level management. This approach promotes the adoption of eco-friendly practices and the development of environmental strategies that can influence EP.

This study contributes to the field by enhancing the understanding of the ability–motivation–opportunity theory in the context of Palestinian universities. Specifically, this study investigates how GHRM practices and GOC establish core competence for sustainable EP. Furthermore, the findings reveal a positive influence of GHRM practices on both GOC and MS. Finally, this study’s empirical evidence highlights the significance of GHRM practices in fostering GOC, MS and, ultimately, improving EP within universities.