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The dynamic global environment has increased the requirement of multidisciplinary entrepreneurial engineers. While studying entrepreneurial aspects of engineers, researchers have not considered inherent variability due to engineering majors. This study investigates the impact of entrepreneurial motivation (EM) on entrepreneurial intentions (EIs), to analyse the inherent entrepreneurial potential of engineering majors. The impact of entrepreneurial education has also been studied to proffer recommendations for policymakers.

The design of this study is a survey conducted with 342 undergraduate students from three major engineering institutions in Pakistan using a close-structured questionnaire. Moderation analysis examines the entrepreneurial potential of different engineering majors. Analysis of variance (ANOVA) has been conducted to compare the EIs of different engineering majors and regarding the impact of entrepreneurial education on EIs.

The engineering major's role in the transformation of EM to EIs is multifaceted. EIs of students of a few engineering majors were found high. Entrepreneurship education improves the overall EIs of engineering students.

Outcomes of the study are useful for academia and policymakers to engage students of particular engineering majors, identified as entrepreneurial, in advanced entrepreneurial education and expose them to potential start-ups to have better value addition in specific sectors.

This is the first study in which engineering majors have been examined to bring insights about inherent entrepreneurial potential. This inherent entrepreneurial potential needs further exploration by academic researchers. The study has provided the base for future studies to institutionalize entrepreneurial education for different engineering majors.

Intrapreneurship is rapidly concerning organizations to tailor their operations and strategies for competitive advantage. Research on intrapreneurial dimensions is in the developing stage, requiring more rigorous methods of investigation and application in various contexts. This study aims to focus on individual level intrapreneurship by examining the association of personality traits (PTs) on intrapreneurial behaviour (IB) moderated by knowledge sharing behaviour (KSB) and comparison of employees in engineering and functional departments.

A survey has been conducted for data collection using a structured questionnaire. Partial least squares structural equation modelling has been used for hypotheses testing, moderation and multi-group analysis on a sample of 534 respondents.

Results reveal that PTs exerted a positive influence on IB. The impact of PTs on IB was more pronounced in the employees of functional departments. KSB moderates positively in the relationship between PTs and IB. Both groups significantly differ in dimensions of PTs.

Organizations can do little to improve PTs of employees, which impacts on intrapreneurship in organizations. However, KSB in organizations can be improved by adopting various measures. KSB eventually promotes innovation in organizations resulting in an overall competitive advantage for firms.

This is the first study that contributes theoretically in intrapreneurship literature by providing insights on PTs impacting IB incorporating KSB and comparing the diverse group of employees.

This study aims to investigate individual-related consequences of workplace bullying among the health-care section. Specifically, this study examined the mediating role of burnout between workplace bullying and nurses’ well-being. Moreover, passive avoidant leadership is examined as a conditional variable between workplace bullying and burnout.

This study collected data from 314 nurses working in various hospitals through a questionnaire-based survey using Google Form in two waves.

Structural equation modeling confirmed the negative effect of workplace bullying on nurses’ well-being, whereas burnout mediates this relationship. In addition, passive avoidant leadership was identified as a conditional variable that strengthens the positive association between workplace bullying and burnout.

Although data for the study were collected in two waves, still cross-sectional design limits causality.

This study suggests management to focus on developing and implementing counter-bullying rules to avoid the adverse consequences of workplace bullying (e.g. capital loss, recruitment costs, burnout, well-being, etc.). In addition, leaders/supervisors must be trained to fulfill their responsibilities to reduce negative consequences.

Studies on workplace bullying in high-power distance cultures are scant. Therefore, drawing upon conservation of resource theory, to the best of the authors’ knowledge, this is the first study that has investigated the moderating role of passive avoidant leadership on the association between workplace bullying and burnout.

This study aims to investigate the question concerning whether tournament incentives motivate chief executive officers (CEOs) to be socially responsible.

Data from all A-share Chinese companies listed on the Shanghai and Shenzhen stock exchanges for the period from 2010 to 2015 are used. To draw inferences from the data, ordinary least squares (OLS) regression and cluster OLS are used as a baseline methodology. To control for the possible issue of endogeneity, firm-fixed-effects regression, two-stage least squares regression and propensity score matching are used.

A reliable evidence is found that tournament incentives motivate CEOs to be more socially responsible. Additional analysis reveals that the positive effect of CEO tournament incentives on corporate social responsibility performance (CSRP) is more pronounced in state-owned firms than it is in non-state-owned firms. The study’s findings are consistent with tournament theory and the conventional wisdom hypothesis, which proposes that better incentives lead to competitiveness, which improves financial and social performance.

The study’s findings have implications for companies and regulators who wish to enhance CSRP by giving tournament incentives to top managers. Investment in social responsibility may reduce the conflict between executives and employees and improve the corporate culture.

This study contributes to the existing literature by providing the first evidence that CEOs’ tournament incentives play a vital role in CSRP. The study’s findings contribute to tournament theory.

Since 2004, Pakistan carried the banking sector under the umbrella of the Islamic financial paradigm, consequently the Islamic Banking Industry (IBI) placed an upright position in the banking and financial market of Pakistan. In this context, this study aims to analyze the effect of Shariah-compliant products of the IBI on the pace of economic growth in Pakistan.

The data set covered 13 Pakistani Islamic banks comprising four full-fledged Islamic banks and 9 conventional banks holdings standalone Islamic Branches, for the period 2004–2019. Considering nature of the empirical model and data set, the estimation was carried out with the Pooled Ordinary least squares estimation technique.

The findings of the study reveal that Shariah-compliant products have a positive effect on the pace of economic growth. This indication is based on the fact that five out of six Shariah-compliant products hold positive signs and are statistically significant. In addition, the empirical evidence shows that at large conventional financial sector signifies its role in the Shariah-compliant products and pace of economic growth nexus. Among the control variables, foreign direct investment, human capital, trade openness, inflation and private credit pose negative, whereas money supply and stock market capitalization have a positive effect on the pace of economic growth in Pakistan. Findings of the study points towards the fact that Shariah-compliant financing has great potential to enhance the economic growth of Pakistan therefore to touch the sustainable development goals (SDGs).

Having played a significant role in the growth process, Islamic bankers should portray a positive image of their industry to the government authorities. The government should design a public policy to encourage Islamic modes of finance at a macro level to increase the pace of economic growth and therefore SDGs realization.

Findings of the study present new insight into the application of Shariah-compliant products of IBI toward the realization of SDGs in case of Pakistan.

This study aims to endeavour to decode artificial intelligence (AI)-based tokens' complex dynamics and predictability using a comprehensive multivariate framework that integrates technical and macroeconomic indicators.

In this study we used advance machine learning techniques, such as gradient boosting regression (GBR), random forest (RF) and notably long short-term memory (LSTM) networks, this research provides a nuanced understanding of the factors driving the performance of AI tokens. The study’s comparative analysis highlights the superior predictive capabilities of LSTM models, as evidenced by their performance across various AI digital tokens such as AGIX-singularity-NET, Cortex and numeraire NMR.

This study finding shows that through an intricate exploration of feature importance and the impact of speculative behaviour, the research elucidates the long-term patterns and resilience of AI-based tokens against economic shifts. The SHapley Additive exPlanations (SHAP) analysis results show that technical and some macroeconomic factors play a dominant role in price production. It also examines the potential of these models for strategic investment and hedging, underscoring their relevance in an increasingly digital economy.

According to our knowledge, the absence of AI research frameworks for forecasting and modelling current aria-leading AI tokens is apparent. Due to a lack of study on understanding the relationship between the AI token market and other factors, forecasting is outstandingly demanding. This study provides a robust predictive framework to accurately identify the changing trends of AI tokens within a multivariate context and fill the gaps in existing research. We can investigate detailed predictive analytics with the help of modern AI algorithms and correct model interpretation to elaborate on the behaviour patterns of developing decentralised digital AI-based token prices.

This paper aims to investigate the question concerning whether gender diversity in the boardroom matters to lenders or not?

To answer this question, the authors use the data from 2009 to 2015 of all A-share listed companies on the Shanghai and Shenzhen stock exchanges. The authors use ordinary least squares regression and firm fixed effect regression to draw our inferences. To check and control the issue of endogeneity the authors use one-year lagged gender diversity regression, two-stage least squares regression, propensity score matching method and Heckman two-stage regression.

The results suggest that the presence of female directors on the board reduces managerial opportunistic behavior and information asymmetry and, consequently, creditors’ perceptions about the probability of loan default and the cost of debt. The authors find that lenders charge 4 per cent less from borrowers that have at least one female board member than they do from borrowers with no female board members. The authors also find that the board structure (i.e. gender diversity) of government-owned firms also matters to lenders, as government-owned firms that have gender-diverse boards have a lower cost of debt (i.e. 5 per cent lower interest rate).

The findings have implications for individual borrowers and for regulators. For example, borrowers can get debt financing at lower rates by altering their boards’ composition (i.e. through gender diversity). From the regulatory perspective, the results support recent legislative initiatives around the world regarding female directors’ representation on boards.

This paper makes several contributions. First, beyond the recent studies on boardroom gender, the authors investigate the relationship between gender diversity in the boardroom and the cost of debt. Second, the authors extend the literature on the association between government ownership and cost of debt by first time providing evidence that the board composition (e.g. gender diversity) of government-owned firms also matters to the lenders. The other contributions are discussed in the introduction section.

The purpose of this study is to examine the influence of corporate governance (CG) mechanisms on earnings management (EM) within the Gulf Co-operation Council (GCC) countries. In addition, the impact of firm’s political connections (PCs) on EM is investigated, as well as whether it moderates the relationship between CG and EM.

Fixed-effects model is used on a sample of non-financial firms across the GCC countries to test the hypotheses. Moreover, a two-stage least squares method and a propensity score matching procedure are used to mitigate potential reverse causality and sample selection bias.

This study reveals that CG mechanisms such as board size and board independence are negatively associated with EM, while CEO duality is positively association with EM. In addition, this study shows that institutional ownership and blockholders do not influence EM. Furthermore, PCs are shown to play a moderating role in the relationship between CG and EM. The results of this study are robust to endogeneity testing and to alternative measures of CG.

Because of a lack of data, the authors do not consider additional CG attributes such as tenure, education and age of board members. Future research could explore the impact of these attributes when data becomes available.

This study provides valuable insights for government officials, policymakers, standard-setters, regulators and corporations by presenting new evidence on the relationship among CG, PCs and EM. Moreover, this study underscores that, in the absence of a strong institutional infrastructure and investor protection, relying solely on strong CG and Islamic values and GCC culture may have a limited impact on effective monitoring of opportunistic managerial behaviors.

This study contributes to existing literature with a specific focus on the unique political, legal, institutional, social and cultural setting of the GCC region. Moreover, this study provides new insights that PCs serve as a governance mechanism in mitigating EM because relatively little attention has been given to the impact of PCs in improving accounting outcomes, especially in the context of the GCC region where Islamic ethical norms often shape business practices.

This study pinpoints the critical factors influencing the acceptance of blockchain technology in supply chain management in the light of the extended unified theory of acceptance and use of technology (UTAUT2) with additional factors personal innovativeness in technology and user's self-efficacy.

The questionnaire-based data was obtained from SC professionals in China (Beijing). The essential factors influencing it are evaluated through structural equation modeling (SEM), using AMOS software.

The empirical findings specify that performance expectancy, facilitating conditions, price value, hedonic motivation, user self-efficacy, and personal innovativeness are positively influencing user satisfaction. User satisfaction has a substantial progressive effect on habit. Furthermore, facilitating conditions, price value, habit, user self-efficacy, personal innovativeness, and user satisfaction have a progressive impact on continued intention to use blockchain technology in supply chain management.

Although numerous studies investigated the influencing factors of blockchain technology adoption in supply chain management, no study examined the determinants of UTAUT2. However, this study not only empirically studied the UTAUT2 model but also extended it with the most influencing elements such as personal innovativeness in technology and user's self-efficacy. Furthermore, this study contributes to the BT-enabled SCM literature by studying the continued use and acceptance, rather than testing behavioral intention and initial adoption which is common in previous studies of BT-enabled SCM. Finally, this study discusses the limitations, future directions, and managerial implications of the results so that supply chain professionals can deliver what supply chain stakeholders require.

The purpose of this study is to examine the association between carbon emissions and earnings management (EM). This study also considers the effect of female CEOs on the association between carbon emissions and EM.

This study uses the carbon disclosure project (CDP) for carbon emissions data, the Compustat database for financial information and the ExecuComp database for female CEOs. The empirical sample of this study consists of 1,692 firm-year observations in the USA that voluntarily participated in the CDP survey from 2007 to 2015. Regression analysis and robustness tests are conducted for this study and both accrual and real EM are considered.

This study provides evidence that firms with female CEOs who voluntarily disclose their carbon emissions information engage in less real EM. Thus, the presence of female CEOs moderates the association between carbon emissions and EM. This study/paper also finds a positive association between carbon emissions and real EM, although there is an insignificant association between carbon emissions and accruals EM.

The association between carbon emissions and EM has important implications for investors, regulators and policymakers. This study suggests that policymakers should improve the conditions that promote inclusion of females in the top management positions to constrain EM.

This study focuses on the USA, which is one of the major contributors to carbon emissions in the world. The presence of female CEOs moderates the association between carbon emissions and EM and firms with female CEOs show a greater impact on EM.