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Earlier studies used conventional time-series models to forecast the impact of the Covid-19 pandemic on stock market performance. This study aims to provide a more flexible model that offers more robust estimation features, such as incorporating additional information (prior) about the model parameters, capturing the evolving behavior of the parameters over time and being able to include several covariates using a spike and slab prior, within the context of the Covid-19 shock and its effect on stock market performance.

Empirically, this paper compares autoregressive integrated moving average (ARIMA) models and the proposed Bayesian structural time-series (BSTS) models regarding their forecasting accuracy for airline and petroleum stocks in the five countries most affected by the Coronavirus, namely, Brazil, France, India, Russia and the USA. In addition, the authors estimate the difference between the pre- and post-intervention periods of the observed series of stock prices and a simulated time-series that would have occurred without the extreme event of Covid-19, using intervention analysis under the best-performing models.

The forecasting results, based on the trend, seasonality and regression components, demonstrate that BSTS models respond faster to the diverse needs of time-series analysis in unprecedented and crisis conditions compared to ARIMA models. Therefore, the authors use intervention analysis under BSTS models to examine the impact of Covid-19 intervention on stock market performance. The authors find that the Covid-19 shock had an adverse effect on the stock markets of the selected countries. The impact was more pronounced in the Brazilian market, where the average weekly prices of airline and petroleum stocks plummeted by 76% and 29%, respectively.

To the best of the authors’ knowledge, no prior study has carried out intervention analysis under BSTS models to forecast the impact of Covid-19 intervention on stock market returns. This study attempts to fill this methodological gap in the literature.

By combining the notion of prospect theory with advanced machine learning algorithms, this study aims to predict whether financial institutions (FIs) adopt a reactive stance when they perceive climate change as a risk, consequently leading to the adoption of environmental, social and governance (ESG) practices to avoid this risk. Prospect theory assumes that decision-makers react quickly when decisions are framed as a risk or threat rather than as an opportunity.

We used a sample of 168 FIs across 27 countries and seven regions over the period 2003–2020. To conduct our empirical investigation, we compared the prediction accuracy of various machine learning algorithms.

Our findings suggest that out of 12 machine learning algorithms, AdaBoost, Gradient Boosting and XGBoost have the most precision in predicting whether FIs react to climate change risk in adopting ESG practices. This study also tested the overall climate change risk and risks associated with physical, opportunity and regulatory shocks of climate change. We observed that risks associated with physical and regulatory shocks significantly impact the adoption of ESG practices, supporting prospect theory predictions.

The insights of this study provide important implications for policymakers. Specifically, policymakers must take into account the risk posed by climate change in the corporate decision-making process, as it directly influences a firm’s adoption of corporate actions (ESG practices).

To the best of our knowledge, this is the first study to investigate the firm-level climate change risk and adoption of ESG practices from a prospect theory perspective using novel machine learning algorithms.

This paper aims to investigate whether the effect of competitive strategies on the performance is significantly different for fully fledged Islamic banks vis-a-vis conventional banks with Islamic window. Specifically, two competitive strategies namely the low-cost strategy and the differentiation strategy were considered. In addition, we examined further the competitive strategies–performance nexus by introducing enterprise risk management as a mediating factor.

This study used structured questionnaires to collect data from 506 respondents (251 from fully fledged Islamic banks and 255 from conventional banks with Islamic window). A disjoint two-stage approach was employed to analyze a hierarchical component model. Construct Level Correction and Measured Latent Marker Variable approaches were employed to assess the common method variance. As a robustness check, two-stage approach was used to explore the curvilinear relationship, and the Gaussian copula approach was adopted to address the endogeneity issue.

The findings show the evidence of complementary partial mediation in the relationships between low-cost strategy, differentiation strategy, and performance through enterprise risk management practices in both types of banks.

Competitive strategies are essential as they send signals to owners, managers, policymakers, and regulatory authorities. On the one hand, fully fledged Islamic banks face dual competition from pure conventional counterparts as well as conventional banks with Islamic window. On the other hand, Islamic window banks also face strong competition from the fully fledged Islamic banks due to their strong Shariah roots. Hence, this competitive pressure on both types of banks calls for more attention to focus on competitive strategies and enterprise risk management practices to accelerate their performance and overcome the bank risk. Moreover, these competitive strategies can be used as a tool to enter into a new market by reducing costs and risks. Besides, banks cannot achieve a competitive advantage without implementing enterprise risk management practices because competitive strategies are significant antecedents of enterprise risk management practices. Therefore, this study recommends both types of banks to focus on enterprise risk management practices to make these strategies successful.

To the best of our knowledge, this is the first study to examine the competitive strategies–performance nexus and the mediating role of enterprise risk management practices in an unexplored area of Islamic banking.

This paper aims to examine the effects of oil price uncertainty on corporate investment of Islamic stocks during the COVID-19 pandemic.

The study uses a panel data set that covers 398 listed Islamic stocks from seven major Asia Pacific countries over the period of five years from 2017 to 2021, yielding 1,990 observations. Specifically, this paper investigates the said association by combining the real options theory regarding investment and the panel data-based econometric method that captures the dynamic relationship, the generalized method of moments estimators.

The findings show that the relationship between the oil price volatility and corporate investment of Islamic stocks is significant and nonlinear in nature, suggesting the presence of both the growth options and the waiting options. Overall, the results reveal that corporate investment of Islamic stocks is hindered during the unprecedented corona crash, when oil price increases at exponential rates.

The findings suggest that considering the information caused by unprecedented events like the COVID-19 pandemic is crucial for investment decisions of Islamic stocks. Therefore, policymakers and regulators should incorporate the impact of oil price uncertainties caused by unprecedented events like the COVID-19 pandemic on firm’s investment expansion and diversification strategies.

To the best of the authors’ knowledge, this paper is the first to examine the relationship between the investment of Islamic stocks and the oil price uncertainty under compound options theory in top Asian oil-importing countries.

This study aims to examine whether the soundness of Islamic banks is differently affected by corruption compared to conventional counterparts. Moreover, the Shari’ah supervisory board (SSB), as a cornerstone of Islamic banking and representing a multi-layer corporate governance model, is expected to moderate the influence of corruption on soundness for Islamic banks.

This study considers a unique sample of 1,528 observations on 71 Islamic banks and 120 conventional banks operating in 11 emerging and developing Muslim countries over the 2010–2017 period. This study uses generalized least squares regression model and the coefficients are estimated by using random-effects estimator. In addition, to overcome a potential endogeneity concern for corruption and bank stability relationship, this study uses Two-Stage Least Squares regression instrumental variable estimator.

The authors find consistent evidence that higher levels of corruption adversely impact the soundness for conventional banks, in favor of the sand the wheel hypothesis in the corruption–development nexus. However, as expected, this study finds a less negative impact of corruption on soundness of Islamic banks. Moreover, SSB moderates the relationship between corruption and soundness of Islamic banks. The findings are robust to a battery of alternative checks.

Findings of the paper regarding the detrimental impact of corruption on bank soundness justify the urgency of the anti-corruption campaigns in these countries, particularly for conventional banks. Moreover, the findings provide support for the positive contribution of SSBs to overcome the adverse effect of corruption on soundness of Islamic banks and thereby underscoring the need for enforcement and regulatory mechanism for SSBs to be more effective.

To the best of the authors’ knowledge, this is the first study to examine the moderating impact of Shari’ah supervision on the relationship between corruption and soundness of Islamic banks.

The importance of e-government projects has been realized in the developed as well as in the developing countries of the world. The successful implementation of e-government projects is a challenging task. Public sector organizations are facing different sorts of challenges while executing e-government initiatives. The purpose of this paper is to explore issues/challenges related to e-government project implementation.

A systematic literature review (SLR) was conducted to understand the challenges of the e-government project, as mentioned in past research. The findings of this SLR helped in developing a proposed framework for e-government challenges. The proposed framework encompasses challenges and issues related to four main aspects such as technological, organizational, project management and enabling environment. These aspects need to be further explained for their remedial measures. For this purpose, an exploratory case study was conducted. The unit of analysis was one of the e-government projects of the ministry of IT. The interviews of the senior and middle management involved in the implementation of this project were conducted and transcribed.

The case study findings endorse a framework proposed. The findings of this research reflect the importance of creating a shared vision, adequate funding and good project management practices as an essential aspect of e-government implementation. Further, the importance of user-related issues such as involvement, capacity building and technical skills was also found critical in successfully executing and sustaining such initiatives in the organization. Further study findings provide necessary guidance for the senior management, which may help to develop effective strategies for the e-government projects in the organization.

The current study focused on developing a better understanding of the challenges commonly faced by organizations during e-government adoption and implementation related to organizational, project management, enabling environment and technological aspects.

This study investigates the flow and heat transfer in a magnetohydrodynamic (MHD) ternary hybrid nanofluid (HNF), considering the effects of viscous dissipation and radiation.

The transport equations are transformed into nondimensional partial differential equations. The local nonsimilarity (LNS) technique is implemented to truncate nonsimilar dimensionless system. The LNS truncated equation can be treated as ordinary differential equations. The numerical results of the equation are accomplished through the implementation of the bvp4c solver, which leverages the fourth-order three-stage Lobatto IIIa formula as a finite difference scheme.

The findings of a comparative investigation carried out under diverse physical limitations demonstrate that ternary HNFs exhibit remarkably elevated thermal efficiency in contrast to conventional nanofluids.

The LNS approach (Mahesh et al., 2023; Khan et al., 20223; Farooq et al., 2023) that we have proposed is not currently being used to clarify the dynamical issue of HNF via porous media. The LNS method, in conjunction with the bvp4c up to its second truncation level, yields numerical solutions to nonlinear-coupled PDEs. Relevant results of the topic at hand, obtained by adjusting the appropriate parameters, are explained and shown visually via tables and diagrams.

This research aims to examine how health consciousness, social identity, self-identity, trust and willingness to pay premium impact individuals’ intention to make green purchases, which in turn influences organic purchasing behavior. Additionally, the study tried to examine the moderating effect of willingness to pay premium.

Utilizing a purposive sampling approach, a questionnaire survey was used to gather information from 452 customers in India. The conceptual model was assessed, and the research hypotheses were examined using partial least squares structural equation modeling.

The results of this study showed that the intention to make green purchases is strongly influenced by consumers health consciousness, social identity and trust. However, self-identity did not influence consumers green purchase intention. Furthermore, the moderating effect of willingness to pay premium was significant, except for self-identity, in the relationship of health consciousness, willingness to pay premium social identity and trust with green purchase intention.

The research will help producers and marketers refine food and marketing tactics to promote a favorable perception of organic food products.

This study is pioneering in (1) investigating the moderating impact of willingness to pay premium (WLPP) in the relationship of health consciousness, social identity, self-identity and trust with green purchase intention and (2) investigating the influence of consumer identities on green purchase intention in the Indian context.

This study aims to investigate the impact of ethical leadership on employees’ pro-social rule-breaking behavior, focusing on the mechanisms of psychological empowerment and the moderating influence of ethical climate within the organization.

Conducting a survey across three waves, the research involves 515 nursing staff in various Pakistani hospitals. Partial least squares structural equation modeling is used for data analysis.

Contrary to expectations, this study uncovers a positive association between ethical leadership and employees’ pro-social rule-breaking behavior. The relationship is mediated by psychological empowerment, and ethical climate is found to moderate this association.

While challenging traditional assumptions, this study acknowledges limitations related to sector focus and employee perspectives. Future studies are encouraged to explore multiple sectors and incorporate management perceptions for wider generalizability.

The results highlight the need for organizations to consider the unintended consequences of ethical leadership. Managers are advised to be mindful of employees’ psychological dynamics and the organizational environment to navigate the complex interplay between ethical leadership and pro-social rule-breaking.

Understanding the paradoxical influence of ethical leadership extends beyond organizations to broader societal implications. The research encourages organizations to adopt strategies aligning ethical leadership with desired employee behaviors.

This study challenges established perceptions of ethical leadership, prompting a reevaluation of its universally perceived positive nature. It emphasizes the paradoxical influence of ethical leadership on organizational dynamics. The mediating role of psychological empowerment and the moderating effect of ethical climate contribute to the understanding of the relationship between ethical leadership and employees’ pro-social rule-breaking.

The purpose of this paper is to provide an organizing lens for viewing the distinct contributions to knowledge production from those research communities addressing the impact of competitive strategy on company performance in general, and the influence of cost leadership and differentiation strategy on organizational performance in detail.

The research methodology was based on the PRISMA review, and thematic analysis based on an iterative process of open coding was analyzed and then the sample was analyzed by illustrating the research title, objectives, method, data analysis, sample size, variables and country.

The main factor that influenced the competitive strategy is strategic growth; strategic growth has a significant influence on competitive strategy. Furthermore, competitive strategy will boost firm network, performance measurement and organization behavior. In the same way, the internal goal factor will enhance organizational effectiveness. Also, a differentiation strategy will support management practice factors, strategic positions, product price, product characteristics and company performance.

This study contributes to the literature by identifying a framework of competitive strategy factors, company performance factors, cost leadership strategy factors, differentiation strategy factors and competitive strategy with global market factors. This study provides a complete picture and description of the resulting body knowledge in competitive strategy and organizational performance.