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This paper aims to examine the impact of humble leadership on project success. The authors propose that such an effect is mediated by team-building, and top management support moderates the direct relationship (humble leadership and project success) as well as an indirect relationship through team-building.

Data were collected from 337 individuals employed in the information technology sector of Pakistan. A two-step approach consisting confirmatory factor analysis and structural equation modeling was used for analysis. To examine conditional direct and indirect effects, the authors utilized model 8 in PROCESS.

The results showed that humble leadership is positively related to project success. Furthermore, team-building partially mediates the relationship between humble leadership and project success. Moreover, top management support was anticipated to have a moderating effect on the direct and indirect link (via team-building) between humble leadership and project success.

Drawing on the conservation of resources theory, this study found that how humble leadership is vital for project success, and thus, extends the utility of the concept of humble leadership to the project literature.

As a result, the current study attempted to investigate the impact of green human resource (GHR) practices on long-term performance, and the path has been explained through organizational identification, which is supported by social identity theory.

To achieve the present study's primary goal, data were obtained from manufacturing businesses and analyzed using partial least square (Smart PLS) on the data of 284 Pakistani small and medium-sized enterprises (SMEs) registered with the small and medium-sized enterprises development authority (SMEDA).

As a result, the findings show that organizational identification explains the indirect relationship between sustainable performance and green human resource management (GHRM).

To limit the limited negative effect on the environment and society, the findings provide several suggestions for the government authorities and policymakers to adopt green practices and policies.

Green practices are essential for a company to limit its negative environmental effect. Environmental critical problems among shareholders put pressure on the firm to implement GHR practices and organizational identification with long-term success.

This study examines whether financial development affects entrepreneurship, and how financial openness moderate this relationship.

The study employs panel data consisting of 781 country-year observations of 48 countries of Asia for the period 2001–2018.

The study provides empirical support for the eclectic theory of entrepreneurship in Asian countries. The findings of the study indicate that effective allocation of resources and ease of transactions increases the entrepreneurial activities in the country. Additionally, the less stringent regulations, allowing for the cross border transactions, increase the funds availability to the entrepreneurs which in turn increase innovation and establishment of new businesses.

The study only considered the moderating influence of financial openness on the nexus. Other indicators such as governance quality and political stability could also have significant impact on entrepreneurship. Further, our study was based on countries belonging to Asian continent. Since Asian continent has culture distinguished from other regions, therefore, the results cannot be generalized to the other continents.

The study’s results provide insight to policymakers and regulators that in order to increase the entrepreneurial activities, the financial sector improvement is of paramount importance. The regulators should focus on well-functioning financial system and availability of capital to improve the investor's confidence and boost economic activities.

The study provides novel evidence on the effects of financial development on entrepreneurship and moderating influence of financial openness in the context of the entire Asian region, which is yet an unexplored area. This paper offers a fresh contribution in this area.

The authors examine the impact of coronavirus disease 2019 (COVID-19) pandemic on the stock market, forex market and gold market of Pakistan.

By using the daily data of COVID-19 confirmed cases, stock index, foreign currency rates and gold prices for the period 10 March 2020 to 16 October 2020, the authors explore that the stock index negatively responds to the corona pandemic.

Additionally, the authors observe the price hikes in gold and foreign currency corresponding to the number of COVID-19 positive cases.

The study analysis unveils that the stock market adversely responds to a pandemic, whereas, forex and gold markets serve as a safe haven for investors at the time of financial distress.

This study complements the literature and provides empirical evidence of the stock market, the gold market and foreign currency market, in the perspective of Pakistan.

With a foundation in the conservation of resource theory, this paper aims to examine the validity of a conceptual model that explains the mechanism connecting perceived threat of terrorism to production deviance. The link between perceived threat of terrorism and production deviance was examined via emotional exhaustion. Notably, the study evaluated whether the relationship between perceived threat of terrorism and production deviance is mediated by emotional exhaustion and moderated by levels of emotional intelligence.

The study is cross-sectional in nature and data were collected from 432 pharmaceutical sales representatives who operate outdoors in the high-risk region. Two-step approach consisting confirmatory factor analysis and structural equation modeling was used for analysis. To examine conditional direct and indirect effects, the authors used model 8 in PROCESS.

Results were consistent with prediction made from the conceptual model in that emotional exhaustion partially mediated the relationship between perceived threat of terrorism and production deviance. This was particularly the case when emotional intelligence was low, but not when high. Likewise, perceived threat of terrorism exerted a direct effect on production deviance when emotional intelligence was low, but not when high.

The study is the first to examine the relationship between perceived threat of terrorism and production deviance. Moreover, no study to date has examined the mediating role of emotional exhaustion between perceived threat of terrorism and production deviance. Finally, up till now, it is unknown that emotional intelligence moderates the relationship of perceived threat of terrorism with emotional exhaustion and production deviance.

The aim of this research is to understand how government incentives (financial and non-financial) influence the relationship between green innovation and Sustainable Development Goals (SDGs) in SMEs.

To contribute to the literature, this research uses empirical evidence of 204 Pakistani small and medium-sized enterprises (SMEs) and tests the moderating role of government support between green innovation and SDGs.

The findings indicate that green innovation has a significant influence on SDGs, community development and environmental activities. The government support significantly strengthens the relationship between green innovation and environmental practices, while it does not moderate the path between green innovation and community development.

The research recommends SMEs focus on the adoption of green innovation and green technology to protect the environment and facilitate the community. Moreover, the research advises the government to assist SMEs financially and nonfinancially, so they will in turn help in the attainment of SDGs.

This research is the first attempt to assess the importance of green innovation in SDGs with a moderating role of government incentives in emerging SMEs. It provides several useful implications for policymaking.

Road and transportation has a significant role in the prosperity, economic growth and development of a region. The main purpose of this study is to conduct an in-depth analysis of local residents’ attitude towards road and transport infrastructure (China–Pakistan economic corridor, CPEC) and the wider economic, social, cultural and environmental impact on local people.

Data were collected using a questionnaire survey from the local people. Factor analysis and structural equation modelling approach were used to test the relation between the observed and latent variables.

The result discovered that road infrastructure has significant socio-economic and cultural impacts that significantly affect the local people support for CPEC development. It also revealed that more promotion and awareness regarding benefits of the project for dwellers lead to more support of the local residents in the study area.

Information provided by this study will help policymakers to gain local resident support for the project and make policies accordingly for the future projects.

This study investigated the attitude and support of the local people based on the road infrastructure’s social, economic, cultural and environmental impact, which has never been examined in the existing literature.

Islamic label of an organization attracts Muslims for investment. There is a rising concern with a huge profile of corporate governance related to the Islamic rules (principles). In this context, this study aims to examine the effect of Islamic labelling on corporate governance in the Pakistani setting.

This study used a panel data set comprising 120 non-financial Shariah-compliant and non-Shariah-compliant Islamic firms listed on the Pakistan Stock Exchange over the period 2013–2020. For analysis, this study used static panel data estimation techniques. Moreover, for robustness check, this study also applied the system generalized method of movements procedure.

The findings deduced from empirical estimations reveal that Islamic labelling is positively associated with corporate governance. Overall, results indicate that Islamic labelling promotes corporate governance practices in Pakistan.

It is of utmost importance in terms of both theoretical and empirical context that Pakistan is a Muslim country having a 96.5% Muslim population, and it is evident that Muslims are allowed to execute their business under the guidance of Shariah principles. This study is unique because most of the previous literature provides empirical support related to the impact of corporate governance on capital structure, profitability and firm performance in conventional and Islamic firms. Practically, there is scarce literature on this issue.

This paper investigates the legitimacy tactics used in the annual reports of UK listed companies in the aftermath of major corporate scandals.

We carried out a content analysis of annual reports of 19 companies that have been involved in corporate scandals with a view to understand how firms communicate negative scandals affecting them.

The findings reveal that firms use a wide range of legitimisation strategies in the manner that contribute to shape disclosure communications concerning negative incidents. For instance, some firms may offset the negativity linked to an incident by rendering such explanations amidst positive information.

Contrary to earlier studies conducted on accounting scandals, the authors incorporated extensive corporate scandals such as human rights violations, controversies concerning child labour, environmental scandals, corruption, financial embezzlement and tax evasion.

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.