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This study investigated how working capital management (WCM) influences the profitability of listed halal food and beverage companies.

The study utilized a sample of 56 listed halal food and beverage companies operating in Indonesia, Malaysia, Saudi Arabia, Pakistan and the United Arab Emirates (UAE). Unbalanced panel data were generated from the Bloomberg database between 2008 and 2021. Besides, the study employed the two-step system generalized method of moments (GMM) technique for the estimation, which can address the models' endogeneity, heteroskedasticity and autocorrelation problems. Also, feasible generalized least square (FGLS) regression was applied to check the robustness of the results.

The study revealed that the cash conversion cycle (CCC) and accounts receivable period (ARP) significantly reduced firm profitability. Also, the inventory conversion period (ICP) significantly reduced return on assets (ROA) but insignificantly influenced return on equity (ROE). However, the results showed that the accounts payable period (APP) significantly increased firm profitability. These findings are robust to the results obtained by applying FGLS regression.

The study utilized a sample of only the listed halal food and beverage firms that operate in Indonesia, Malaysia, Saudi Arabia, Pakistan and the United Arab Emirates (UAE).

The study suggests that the management of listed halal firms should adopt an aggressive policy in managing their working capital in order to enhance their financial performance. This could be attained by lowering CCC when ARP and ICP are reduced and APP is increased.

This study contributes to the literature by providing cross-country empirical evidence showing how working capital and its components affect the financial performance of firms that solely produce or buy and sell halal food and beverage products in five countries.

Business processing organizations are continuously focusing on customer knowledge management (CKM) due to the competitive business environment. CKM is being recognized as an essential source for improving organizational performance (OP). This study focuses on understanding CKM and its impact on OP. It also explores the moderating role of big data analytics capability (BDAC) on OP. Moreover, the mediating role of operational and strategic agility on OP was empirically tested.

Positivist research doctrine has been deployed and data was collected using structured survey using cross-sectional approach. The data were collected from 392 employees working in business processing software houses in the emerging market of Pakistan. Structural equation modeling (SEM) was deployed for the estimation of theoretical model.

The study's findings indicate that CKM has no significant impact on OP; although the presence of BDAC moderates the relationship significantly. Moreover, the study recommends that CKM and BDAC to be tested in the project environment, considering organization's operational and technical capabilities.

The study proclaims that BDAC can be helpful for organizations to improve their capabilities and output. Likewise, enhancing BDAC reduces failure rates of the projects.

This study provides a critical theoretical and practical contribution to project management in business processing organizations. Big data analytics can be of value for diagnostic, predictive and prescriptive analysis in the project management context.

This study aims to examine the nexuses between economic growth, trade openness, renewable energy consumption and environmental degradation among organization of petroleum exporting countries (OPEC) members over the period 1990–2019.

The empirical strategy for the study includes dynamic heterogeneous panel pooled mean group (PMG), mean group (MG) estimators and dynamic panel threshold regression (TR) analysis. For clarity, PMG and MG are used to explore the long-run relationship between the variables, whereas TR is used to uncover the actionable and complementary policy thresholds in the nexuses between green growth and environmental degradation.

The empirical evidence is based on the significant estimates from PMG and TR. First, using PMG, the study finding revealed a long-run relationship between economic growth and environmental degradation via the PMG estimator. Second, using TR, the study revealed an actionable threshold for carbon dioxide emissions (CO₂) metrics tons per capita (mtpc) not beyond a critical mass of 4.88mtpc, and the complementary policy threshold of 85% of the share of trade to gross domestic product, respectively.

The policy relevance of the thresholds is apparent to policymakers in the cartel and for policy formulation. The policy implication of this study is straightforward.

The novelty of this study stalk in the extant literature on providing policymakers with an actionable threshold for CO₂ emissions with the corresponding complementary threshold for trade policies in the nexuses between green growth and the environment.

The purpose of this study is to identify the situation of spatial inequality in the residential system of Tehran city in terms of housing prices in the year 2021 and to examine its changes over time (1991–2021).

In terms of purpose, this study is applied research and has used a descriptive-analytical method. The statistical population of this research is the residential units in Tehran city 2021. The average per square meter of a residential unit in the level of city neighborhoods was entered in the geographical information system (GIS) in 2021. Moran’s spatial autocorrelation method, map cluster analysis (hot and cold spots) and Kriging interpolation have been used for spatial analysis of points. Then, the change in spatial inequality in the residential system of Tehran city has been studied and measured based on the price per square meter of a residential unit for 30 years in the 22 districts of Tehran by using statistical clustering based on distance with standard deviation.

The result of spatial autocorrelation analysis with a score of 0.873872 and a p-value equal to 0.000000 indicates a cluster distribution of housing prices throughout the city. The results of hot spots show that the highest concentration of hot spots (the highest price) is in the northern part of the city, and the highest concentration of cold spots (the lowest price) is in the southern part of Tehran city. Calculating the area and estimating the quantitative values of data-free points by the use of the Kriging interpolation method indicates that 9.95% of Tehran’s area has a price of less than US$800, 17.68% of it has a price of US$800 to US$1,200, 25.40% has the price of US$1,200 to US$1,600, 17.61% has the price of US$1,600 to US$2,000, 9.54% has the price of US$2,000 to US$2,200, 6.69% has the price of US$2,200 to US$2,600, 5.38% has the price of US$2,600 to US$2,800, 4.59% has the price of US$2,800 to US$3,200 and finally, the 3.16% has a price more than US$3,200. The highest price concentration (above US$3,200) is in five neighborhoods (Zafaranieh, Mahmoudieh, Tajrish, Bagh-Ferdows and Hesar Bou-Ali). The findings from the study of changes in housing prices in the period (1991–2021) indicate that the southern part of Tehran has grown slightly compared to the average range, and the western part of Tehran, which includes the 21st and 22nd regions with much more growth than the average price.

There is massive inequality in housing prices in different areas and neighborhoods of Tehran city in 2021. In the period under study, spatial inequality in the residential system of Tehran intensified. The considerable increase in housing prices in the housing market of Tehran has made this sector a commodity, intensifying the inequality between owners and non-owners. This increase in housing price inequality has caused an increase in the informal living for the population of the southern part. This population is experiencing a living situation that contrasts with the urban plans and policies.

Environmental performance (EnPerf) needs to be critically studied so organizations can understand enhancing it. The purpose of this study is mainly to examine and explain the influence of beliefs and values of the human resources regarding religiosity (REL) and workplace spirituality (WS) on shaping an environmentally friendly work culture comprising environmental ethics (EE) and environmental passion (EP), to enhance EnPerf.

A survey methodology was used, and 316 responses were collected from the employees working in industries on the top list of polluting the environment using purposive sampling. Structural equation modeling was deployed to test the hypotheses.

This research is conducted to identify specific relationships of variables with the environment. It was discovered that WS affected EP and EE, positively affecting EnPerf.

This study guides organizations and their management to adopt WS, EE and EP, as these all increase EnPerf in the organization.

Not much work has been conducted on the environmental culture based on REL and WS, using the ability-motivation-opportunity theory. This research analyzes employees’ intrinsic factors, such as REL and WS, to develop EP and EE. Thus helping to comprehend how they can use to enhance EnPerf, which is the current priority for the organizations.

This paper explores the effect of tourism (national and international) indicators on income inequality in a sample of 21 Asia Pacific economies.

This study uses panel data set from 1995 to 2020 and employs panel autoregressive distributed lag (ARDL) method for the empirical investigation.

The empirical findings from the panel ARDL models suggest that all of the considered tourism indicators have significant negative impacts on income inequalities. The results remain consistent with alternative indicators and methods.

The findings of this study will be critical for the policymakers to take effective measures to reduce the income inequality. Such measures could include promoting tourism in general, focusing on attracting international tourists or domestic tourists, and putting more weight on developing leisure or business tourism, which will boost the overall economic performance and alleviates inequalities in the society.

This is the first study to consider various forms of tourism indicators to see their impact on income inequality in the Asia–Pacific region, and offers important implications for the policy actions.