This study empirically investigates the role of employees’ perceptions of CSR in improving their green behavior in the hospitality industry. In addition, this study investigates the mediating role of employee well-being and the moderating role of hotels’ environmental strategy in this relationship. Empirical analysis is performed in a cross-country setting using evidence from Pakistan and Italy. The study model is tested through PLS-SEM using survey data of 485 hotel employees. Findings from the overall sample and country-specific samples reveal that CSR is positively and significantly related to employee green behavior. Moreover, employee well-being serves as a significant mediator in the relationship between corporate social responsibility and employee green behavior, while hotels’ environmental strategy significantly moderates this relationship in the overall and country-specific samples. These results suggest that paradoxically, though the selected countries have different tourism implementation levels, economic development, and cultures, the employees’ perceptions of CSR and its effect on their green behavior do not vary significantly across both countries.

This study aims to empirically examine the mediating effects of psychological safety and leadership identification on the relationship between inclusive leadership and pro-social rule breaking among hospitality employees. This study analyzes the survey data collected in three waves from 589 employees working in different hotels and restaurants operating in the Northern areas of Khyber Pakhtunkhwa, Pakistan. The scale validity, composite reliability, and hypotheses were assessed through PLS-SEM. The study found that inclusive leadership significantly impacts employees’ pro-social rule-breaking. The study also found that leadership identification and psychological safety partially mediate the relationship between inclusive leadership and pro-social rule-breaking. Hospitality leaders can practice inclusive leadership characteristics because it may significantly enhance employee engagement in pro-social rule-breaking. Through their inclusive features, hospitality leaders can improve employees’ psychological safety and leadership identification, enhancing frontline employees’ pro-social rule-breaking.

Purpose: The financial policies of the modern world corporations and their investment decisions are generally considered as interrelated because the agency problems, associated with the debt level and its maturity structure, give rise to incentives for overinvestment or underinvestment. The present study empirically investigates the linkage between debt maturity structure and firm investment in a financially constrained environment, using Pakistan as a case study, to determine how the institutional environment in which firms operate affect these decisions and their linkage.Design/methodology/approach: The empirical analysis is carried in a panel data setting using panel regression models as the baseline methods. Moreover, generalized methods of moments (GMM) estimators are used, coupled with the instrumental variables approach, for robustness and improving the efficiency and consistency of estimates.Findings: Results suggest that firms rely more on short financing in Pakistan. Thus, given the capital structure which is characterized by higher proportion of short-term financing, the higher level of leverage is less likely to cause underinvestment problem. However, the underinvestment problem do persists in the firms that have higher portion of long-term debt. These findings imply that the debt-overhang problem may persist even in the financially constrained environments where attractive investment opportunities are limited, and long-term financing is difficult to acquire.Originality/value: This study contributes to the literature by revealing how corporate investment and financing decisions and their linkage is influenced by the institutional environment of the less developed countries which is characterized by underdeveloped financial markets, inefficient legal system and weak investor protection system.

Research background Income and prices are important factors that determine and decide households consumption decisions and behavior. Purpose and research methodology This paper aims to examine fruits’ demand elasticities in Pakistan by using the Linear Approximate Almost Ideal Demand System (LA/AIDS). For this purpose, data from the Household Integrated Economic Survey (HIES) 2018–2019 part of Pakistan Living Standard and Measurement is used for the selected fruits. Results Marshallian, Hicksian, and expenditures elasticities were calculated through the estimated parameter from the Linear Approximate Almost Ideal demand system. The results show that all the estimated expenditure elasticities of the selected fruits for Pakistan are positive. The magnitude of expenditure elasticities for bananas, malta, apple, grapes, watermelon, plum, and almonds, is less than unity, and are thus categorized as normal food items. The estimated uncompensated own price demand elasticities for all fruits are less than unity (inelastic) for Pakistan and thus categorized as necessities. Based on the cross-price uncompensated demand elasticities eighteen fruits are reported as gross complements and three fruits are gross substitutes. Most of the fruits are categorized as neutral fruits having no cross-price effect on each other’s demand as their estimated elasticities are closer to zero. Only apples with grapes and almonds are found to

| This study estimated and examined allocative efficiency of broiler farms in district Charsadda, Khyber Pakhtunkhwa, Pakistan. Data from 120 respondents was collected through multistage random sampling technique. Stochastic frontier cost function of Cobb- Douglas type was used for the estimation of allocative efficiency. The function was estimated using Maximum Likelihood estimation technique. Results revealed that the mean allocative efficiency of broiler farms was 0.84; implies that an average farm could have used 16% less inputs for given level of output if inputs were allocated efficiently. The estimated coefficient of output in the stochastic cost frontier was -0.159 and statistically significant at 5% significant level which implies that output level need to be increased which ultimately leads to decrease inefficiency of resources allocation. In allocative inefficiency effect model, estimates of education and experience were negative and statistically significant which implies that educated and experienced broiler farmers efficiently allocated resources on their farms. Therefore, the policy makers needs to provide education and training facilities to the farmers which are appropriate to rearing of broiler in open shed farms for the efficient utilization of resources and enhancing productivity of broilers.

Many banking and corporate sector organization problems are resolved by clever, creative solutions based on artificial intelligence (AI). Any financial institution has to use AI-enabled churn detection solutions to improve customer relationship management (CRM). In order to effectively predict churn in a publicly accessible datasets, we suggest a novel hybrid deep method. It functions efficiently on any private, hidden banking dataset in the specified format. Other hybrid algorithms’ performances are contrasted with this one. The predictive analytics of SDNN and SVM coupled is excellent using accuracy, precision, recall, and F1-score matrices, according to our thorough search for the best intelligent solution. It is essential to correctly identify the important variables or churn-causing elements. SVC-SDNN’s strength is in its ability to anticipate which customers are most likely to leave and identify the critical elements affecting customer retention. The suggested approach has an AUC-ROC of 0.881696 and an accuracy of 0.95.