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Studies show that supervisor incivility can have detrimental consequences for subordinates. However, little is known about the job and personal resources that can reduce the effect of supervisor incivility on subordinates' counterproductive work behavior (CWB). Based on the Job Demand-Resources (JD-R) model, we investigate social job crafting (job resource) and internal locus of control (LOC; personal resource) as buffers on the relationship between supervisor incivility and subordinates' CWB toward the organization.

Two field studies to test our proposed hypotheses were conducted. A two-wave time-lagged design was used and data was collected from 115 supervisors and 318 subordinates from a large electricity provider company (study 1) and 121 employee–coworker dyads from a large insurance company (study 2).

Across the two studies it was found that supervisor incivility positively relates to subordinates' CWB toward the organization. Further, this relationship was weaker for individuals with high internal LOC and those who engaged in social job crafting.

The findings are helpful for HR managers to figure out how to stop supervisor incivility through civility training and motivating employees to social job crafting behavior.

This study implies that social job crafting (job resource) and internal LOC (personal resource) are essential factors that can reduce the effects of supervisor incivility on subordinates' CWB toward the organization.

This research aims to inspect the existence of the “environmental Kuznets curve” (EKC) in the presence of foreign direct investment (FDI), financial development (FD) and urbanization throughout 1972–2018 for Pakistan.

For time series analysis, Phillips and Perron (PP) and Augmented Dickey–Fuller (ADF) unit root tests are used to confirm the level of integration. For robustness, Kim and Perron (2009)’s structural break unit root test is employed, which identifies the order of integration in the presence of structural break years. Further, combined cointegration analysis is performed to confirm the existence of a long-run association between underlying variables. Furthermore, autoregressive distributed lag (ARDL) analysis is employed for the robustness of the cointegration approach.

The cointegration analysis confirms the existence of a long-run association among variables. The authors find a positive and significant impact of urbanization, FD and foreign development on environmental degradation in the long run. Similarly, only FDI increases environmental degradation in the short run. In addition, the authors find an inverted U-shape relationship between economic growth and environmental quality which, further, confirms the presence of EKC in Pakistan.

This research contributes to applied economics in many ways: the combined effect of urbanization, FD, FDI and economic growth on carbon dioxide (CO₂) emission is checked simultaneously. To avoid ambiguity, this study constructs the FD index through the principal component analysis (PCA). Moreover, the role of structural breaks has been considered through the analysis. Novel Bayer-Hanck combined cointegration analysis is employed to detect the existence of long-run relationships among underlying variables.

This study aims to investigate the effect of credit relaxation policy during the COVID-19 pandemic and its efficacy as a countercyclical policy on bank risk and stability.

Using a sample of 39 listed Indonesian banks, the authors investigate the effect of credit relaxation policy on banks’ risk and stability. Data were retrieved from Eikon DataStream from monthly financial statements from June 2019 to December 2020. The authors use panel data analysis with a fixed-effect estimator to estimate the model.

The authors find that the credit relaxation policy affects banks’ stability. The authors also find no significant relationship between the policy and bank risk measured by non-performing loans. The authors also find that the policy mainly affects small banks and both state-owned and private banks.

This research has some policy implications that issuing prompt regulations to respond to urgent situations is needed and is very important to face crisis conditions and reduce the negative impact of such crises.

This paper aims to analyze the downside risk for the stock indices of BRICS countries. The study also aimed to study the interrelationship, directional influence and interdependence among the stock exchanges of BRICS economies to provide insights for policymakers, fund managers, investors and other stakeholders.

The authors used Value at Risk (VaR) as an indicator of downside risk and time series econometrics for measuring the long run relationship, directional influence and interdependence.

The calculated VaR estimates, long-run linkages and strong interdependence among these indices especially with the returns of Brazil exerting a notable impact on the returns of other BRICS nations. These results emphasize the significance of taking into account cross-country spillover effects and domestic market dynamics in the context of portfolio management and risk assessment strategies. Further, from the extended results of variance decomposition analysis, the authors find that Brazil’s, China’s and South African stock market returns have a significantly lagged impact on their own stock market, while Russia’s and India stock market returns do not have a significantly lagged impact on their own stock markets.

To the best of the authors’ knowledge, this is the first study comprehensively analyzing the BRICS indices downside risk through the historical simulation method of VaR estimation, which is an unexplored area of risk management.

This paper aims to investigate the role of organizational and technological enablers and their arrangement and alignment with the external environment to facilitate supply chain integration (SCI), which consequently improves operational performance.

The paper uses a structural equation modeling approach and the data from 307 manufacturing firms from the International Manufacturing Strategy Survey version VI for hypotheses testing.

The findings of the study reveal that (1) the alignment and particular arrangement of the sociotechnical organizational factors enable the SCI of a firm, (2) suitable organizational arrangements help in leveraging SCI under environmental pressures, and (3) SCI leverages the relationship between sociotechnical organizational factors and operational performance of the firm.

This paper informs managers that SCI leverages the operational performance of firms under heightened environmental pressures. Developing suitable manufacturing technologies infrastructure followed by organizational practices aligned with the manufacturing technologies make it easier to realize SCI.

This study explores the interaction of technological, organizational, and environmental factors as driving and enabling factors that help achieve SCI. Firms that develop an open and collaborative environment and use communication and integrative technologies to complement their work practices better cope with external pressures. These modern forms of working and the use of technologies facilitate SCI and leverage it effectively to positively impact firm performance.

This study examines the unique effects of Industry 4.0 technologies and servitization on firm performance and explores whether servitization mediates the Industry 4.0 and firm-performance relationship.

Data were collected from 76 manufacturing firms in Pakistan using an online survey questionnaire. The partial least squares structural equation modeling (PLS-SEM) method was used to test the proposed hypotheses.

Analysis in SmartPLS revealed significant positive effects of Industry 4.0 and servitization on firm performance and showed that servitization acts as a mediator in the relationship between Industry 4.0 and firm performance.

This study offers valuable insights for manufacturing firms, particularly in the context of Pakistan, that firms can improve their performance by adopting Industry 4.0 technologies and implementing servitization strategies.

Drawing on the practice-based view of firm, this study adds value to the body of knowledge that firms can improve their performance by adopting widely known and transferrable technological and organizational practices like Industry 4.0 and servitization.

This study investigated the predictors of overall value for money in the hospitality industry concerning routine practices reinforcing SDG goals. The sequential mediation underlines the mechanism of theoretical viability and sustainability relevance of restaurant environment factors and customer-generated communication on social media to influence the value impressions of hospitality customers.

Cross-sectional design was utilized to obtain empirical data from customers of luxury restaurants in mega cities of Pakistan. Non-probability purposive sampling was deployed to collect data from 370 customers. The chained relationship of predictors was analyzed using Smart PLS.

The SDGs' integration with predictors provided theoretical insights into the role of physical spaces in achieving SDG 14 of sustainable consumption and production. The role of social media communication explains the mechanism of online discourse, which shapes perceptions of sustainable dining experiences.

This study explained sustainable consumption's relation to consumers' psychological undertakings and reinforced the dinners' decision-making processes to evaluate expectations influencing dining choices. This study helps to understand how sustainability issues transformed consumers' value perception and helps them take measures to minimize the environmental impact of their dining choices.

The sequential mediation model investigated with the lens of expectation disconfirmation theory provided relational clarity, which is difficult to achieve when comparing the perception of customers with performance variables. Distinguishing overall value for money from perceived value is essential for making data-driven decisions to utilize monetary resources efficiently.

This study investigates two important research questions. First, does YouTube advertising create value for customers to activate their inspired-by state (motivation), or does customer engagement in advertised brands have a mediating role? Second, does the inspired-by state influence customers’ inspired-to state (action) to purchase the advertised brand?

This study employs Ducoffe’s advertising value model to investigate how customers’ engagement mediates perceived advertising value and their inspired-by state. The authors split customer inspiration into two primary states: inspired-by (i.e. the early interest in taking action) and inspired-to (i.e. the intention to act), demonstrating that the latter is positively influenced by the former. The study employs SmartPLS V3.2.9 to analyze survey data from 360 respondents in Pakistan – an emerging market.

This study found that informativeness, entertainment, creativity and incentives exerted a significant positive impact on perceived advertising value. The perceived advertising value of YouTube ads fails to influence customers’ inspired-by state directly; however, customer engagement positively mediates the relationship between the perceived advertising value of YouTube and customers’ inspired-by state. Finally, the customers’ inspired-by state is successfully converted into an inspired-to state.

This study has numerous practical implications for advertisers and marketers seeking to optimize social media advertising and marketing performance.

YouTube ads shape consumer behavior, empowering informed choices; authentic engagement transforms the advertising landscape.

This study is the first to examine the perceived advertising value of YouTube ads for eliciting customers’ inspired-by state, assessing the mediating role of customer engagement as a mechanism. Moreover, the authors examine the role of customers’ inspired-by state as a predictor of the inspired-to state.