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This study aims to identify the impact of corporate governance on performance of sugar mills. In order to study this relation, a model is constructed in which ownership structure and independent directors are taken as independent variables. Whereas firm performance is analyzed by using proxy variables such as return on asset (ROA), return on equity (ROE) and sales growth. Moreover, size of board, working capital management (WCM) and philanthropy are taken as mediating variables between governance variables and firm performance.

The data of 32 sugar mills listed at Pakistan Stock Exchange for the period of four years (i.e. 2014–2017) is used for this research. Moreover, to investigate the model, generalized least squares statistical method is used to measure the relationship between variables.

The results revealed that there is significant but positive relationship between independent directors and ROA while ownership structure and ROE have significant but negative relationship. Thus, the board of directors should make it sure that all stakeholders and organizations should increase the nonfamily ownership in firms for better corporate performance. Moreover, philanthropy and WCM mediate the relationship between corporate governance and firms' performance.

This research work will be helpful in the corporate governance, and further researchers can conduct their study by considering executive/nonexecutive director and institutional owners as governance variables.

This paper fulfills an identified need to study how Corporate Governance effect the performance of firm.

This paper aims to analyze the adoption of social media platforms by tourists in Pakistan. Based on an adaptation of the technology acceptance model (TAM), this study assesses the factors that lead users to adopt these platforms.

A survey was administered to a convenience sample of 399 travelers who use social media in Pakistan. A Confirmatory factor analysis was conducted using AMOS to evaluate convergent and discriminant validity as well as composite reliability. Structural equation modeling was applied to examine the causal relationship among all proposed constructs.

The findings reveal that the perceived usefulness (PU) and perceived ease of use (PEoU) of a social media platform positively impact the behavioral intention of its users. The proposed constructs of compatibility, enjoyment, user expertise and e-trust all demonstrated their crucial roles in the adoption of a social media platform for tourism-related activities by enhancing the platform's PEoU and usefulness.

This research validates the relationship between PEoU and PU of a social media platform in the hospitality industry. Interestingly, this study has expanded TAM by validating the addition of four more constructs, (1) compatibility, (2) enjoyment, (3) e-trust, and (4) expertise, to add worth to this model regarding the understanding of social media usage in this specific industry. The findings are valuable both for managers and policymakers in the tourism sector in Pakistan, as the latter can utilize the results to entice a larger segment of social media users to the tourism industry.

This paper attempts to rejuvenate waqf in the health sector by identifying and elaborating on its issues and challenges. The government budget for this sector is significant; thus, the present paper aims to provide a nongovernment budget to lessen the government's burden

This qualitative study uses structured in-depth interviews with 12 respondents to generate valuable insights and thoughts in order to frame recommendations.

The findings highlight the key themes: human resources, finance, collaboration and coordination, legal issues, basic healthcare insufficiency, data and digitalization, accountability and sustainability and infrastructure. The following are the proposed solutions: capacity building program (CBP), hybrid waqf scheme, big data connectivity, specific legal framework, refocusing and reallocating of resources for the health sector during and after the pandemic

This study focuses on Indonesia and Malaysia as the authors believe that these two countries have a lot of practice in the field. Further studies may focus on other countries, such as Pakistan.

This paper proposes potential ways to embrace government policy consideration, optimize the elaboration among productive waqf with other kinds, improve governance of and coordination among waqf institutions and increase the awareness to improve significant development.

By considering this paper's recommendations, waqf stakeholders in the healthcare system can improve the social benefits for poor and needy patients.

This study presents the latest strategic analysis of waqf, which is important for the government policy in developing waqf.

Due to a staggering growth rate in the recent past, halal products have attained a significant attention of marketers across countries. However, marketing practitioners seek to have detailed understanding of what drives consumers of different demographics towards this product category so as to better market and position themselves in the competitive landscape. Correspondingly, this study aims to provide insights into the Muslim women consumers’ halal cosmetics purchase behaviour and examines the variables (and their interplay) when purchasing such products.

The data for the study were collected through a self-administered questionnaire from 371 Muslim respondents from India. The data were analysed through structural equation modelling using AMOS 22.0 SEM software.

The findings of this study reveal that religious knowledge, religious commitment and halal certification(s) affect consumers’ actual purchase behaviour of halal cosmetics, which subsequently drives their repurchase intention. The findings further reveal a non-significant effect of religious orientation with both the actual purchase behaviour and repurchase intention towards halal cosmetics. Additionally, actual purchase behaviour of halal cosmetics is found to positively affect customers’ repurchase intentions.

Despite the recent growth of overall beauty industry, this particular segment of halal cosmetics has a huge potential given the phenomenal preference that Muslim consumers have shown in such niche. Therefore, this paper contributes towards examining the key factors influencing consumers purchase behaviour towards halal cosmetics in India that can be capitalized on.

The purpose of this paper is to assess the impacts on production of five fruit crops from 1961 to 2018 of energy use, CO₂ emissions, farming areas and the labor force in China.

This analysis applied the autoregressive distributed lag-bound testing (ARDL) approach, Granger causality method and Johansen co-integration test to predict long-term co-integration and relation between variables. Four machine learning methods are used for prediction of the accuracy of climate effect on fruit production.

The Johansen test findings have shown that the fruit crop growth, energy use, CO₂ emissions, harvested land and labor force have a long-term co-integration relation. The outcome of the long-term use of CO₂ emission and rural population has a negative influence on fruit crops. The energy consumption, harvested area, total fruit yield and agriculture labor force have a positive influence on six fruit crops. The long-run relationships reveal that a 1% increase in rural population and CO₂ will decrease fruit crop production by −0.59 and −1.97. The energy consumption, fruit harvested area, total fruit yield and agriculture labor force will increase fruit crop production by 0.17%, 1.52%, 1.80% and 4.33%, respectively. Furthermore, uni-directional causality is correlated with the growth of fruit crops and energy consumption. Also, the results indicate that the bi-directional causality impact varies from CO₂ emissions to agricultural areas to fruit crops.

This study also fills the literature gap in implementing ARDL for agricultural fruits of China, used machine learning methods to examine the impact of climate change and to explore this important issue.

The study aims to empirically examine the relationship between monetary policy and economic growth, as well as to explore the long-run and the short-run effect of monetary policy on the economic growth of a developing country (Bangladesh) and a developed country (the United Kingdom).

Depending on data availability, the study employed secondary data covering the period of 1980–2019. The augmented Dickey–Fuller test and the Phillips–Perron test were used for the stationarity test. Further, the F-bounds test was run to justify the long-run relationship between monetary policy and economic growth. Thereafter, long-run coefficients were revealed from the auto-regressive distributed lag (ARDL) model and short-run coefficients from the error correction model. Furthermore, the vector error correction model (VECM) Granger causality approach was employed to demonstrate the causality of studied variables. Lastly, different diagnostics tests ensured the robustness of the models.

F-bounds test outcomes suggest that monetary policy has a long-run relationship with economic growth in both countries. Long-run coefficients revealed that money supply has a positive long-run impact on economic growth in both countries. Unlike the UK, the exchange rate exhibits an adverse effect on the economic growth of Bangladesh. The bank rate seems to promote economic growth for the UK. Findings also depict that increase in lending interest rates hurts the economic growth for both countries. Besides, the short-run coefficients portray random effects at different lags in both cases. Lastly, causality among studied variables is revealed using the VECM Granger causality approach.

The novelty of this study lies in consideration of both developing and developed countries in the same study.

Building on the social exchange theory (SET), this study aims to propose a model of the effects of green human resource management on employee in-role, extra-role and green innovative work behavior (GIWB). This study proposes, building on both the job demands-resources model and SET, that the aforementioned links can be explained through the mediating role of green work engagement (GWE).

Data were collected from employees (n. 208) working in Palestinian higher education organizations using a self-administered questionnaire. The partial least squares-structural equation modeling was the primary statistical technique adopted to examine the study’s hypotheses.

The results suggest that green human resources management (GHRM) was a significant predictor of employee in-role green behavior, extra-role green behavior and GIWB. Furthermore, GWE demonstrated to be a significant intervening mechanism to explain the above-mentioned relationships.

The results provide useful insights for higher education policymakers on how GHRM may positively contribute to employee green outcomes.

This paper is novel for several reasons. First, it contributes to the general literature of GHRM. Second, it contributes to the limited body of knowledge on GHRM in the context of higher education. Third, the distinct contribution of this study is the introduction of GIWB as an outcome of GHRM, and GWE as a mediating variable in the relationship between GHRM and employee green behaviors.