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The purpose of the study is to determine the local antecedents of subsidiary participation in global services and, subsequently, the impact on local performance.

The study is based on a survey with the local subsidiaries of 14 manufacturers engaged in global services as part of their servitisation strategy.

Findings show support for considering the local ability for global services as an antecedent for local subsidiary participation in global services and the local service performance as an outcome. In addition, the results reject our hypotheses related to the specific roles of local opportunity and motivation for global services.

This study provides novel insights on the global service operations of manufacturers by highlighting the perspective of subsidiaries engaged in the local service delivery and development of global services. This perspective sets the conditions of the global-local collaboration in the context of global service strategy with local service delivery.

This paper examines and compares the role of social protection to promote inclusive growth in two countries (once related), Pakistan and Bangladesh, from 1984 to 2020, using annual time series data.

The study used principal component analysis to develop the index of social protection, inclusive growth and macroeconomic stability. It also employed co-integration with impulse response function and fully modified ordinary least squares test for long-run cointegration.

The key results highlighted that social protection positively promotes inclusive growth in both countries. However, Bangladesh attains a high position in achieving inclusive growth through the mechanism of welfare programs. Findings show that institutional quality, macroeconomic stability and globalization are the positive and significant drivers of inclusive growth in both countries. It also confirms that macroeconomic stability and globalization are contributing more to achieving inclusive growth in Bangladesh as compared to Pakistan.

Institutions and macroeconomic stability in both countries are critical toward providing a transparent system of welfare schemes to achieve inclusive growth. Shocks to social protection schemes in Pakistan are inconsistent for achieving inclusive growth as compared to Bangladesh.

The study extends the empirical measurement of social protection and inclusive growth while using protracted dimensions and indicators. It further examines and compares the dynamics of social protection programs for inclusive growth in two countries once related. For further originality and reliability, this study checks the robustness of long-run estimates by disaggregating the institutional quality and globalization into their key dimensions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-07-2023-0548

Microfinance institutions (MFI) must adapt to rapidly changing market conditions, including stringent regulations and diverse customer demands, necessitating a high absorptive capacity. This research elucidates how organizational culture promotes knowledge sharing, thereby enhancing an organization’s ability to absorb and utilize new knowledge, with particular attention to the moderating role of MFI size.

Data were collected from 450 randomly selected employees of MFIs in Pakistan. Hypotheses were tested using structural equation modeling in WarpPLS 8.0.

The findings show that knowledge sharing mediates the relationship between organizational culture and absorptive capacity. The impact is more pronounced in larger MFIs, while smaller MFIs exhibit greater agility in adapting to new knowledge.

MFIs, particularly in dynamic markets like Pakistan, should enhance their absorptive capacity by fostering an organizational culture that promotes knowledge sharing. While larger MFIs benefit from structured knowledge-sharing practices, they should address potential bureaucratic impediments to maintain agility.

By improving absorptive capacity, MFIs can better innovate and tailor their services to underserved communities, contributing to financial inclusion and poverty alleviation in Pakistan. This research provides insights for policymakers and practitioners on fostering sustainable development through strategic organizational practices in MFIs.

The findings offer a practical framework linking theoretical concepts from the resource-based and knowledge-based views to real-world applications, particularly in developing economies. It emphasizes the crucial role of organizational culture in enabling MFIs to adapt and thrive in challenging environments.

The purpose of this study is to empirically examine the indirect effect of big data analytics capability (BDAC) on performance through innovativeness and risk-taking among small and medium-sized enterprises (SMEs) by considering the moderating role of absorptive capacity (ACAP).

This study utilized a quantitative method through a survey questionnaire. The hypotheses were tested with a sample size of 202 surveys completed by SME owners. Partial least squares structural equation modeling (PLS-SEM) was administered to analyze data via the SmartPLS 4.0 software.

The analysis revealed that BDAC had an indirect effect on performance through innovativeness and risk-taking. ACAP strengthened the relationship between risk-taking and performance and also enhanced the link between BDAC and performance. Interestingly, ACAP weakened the connection between innovativeness and performance.

From a practical standpoint, our study offers valuable insights for entrepreneurs in the process of implementing BDAC. The mediating roles of innovativeness and risk-taking underscore their potential as drivers of SME performance. Also, it is crucial for managers to leverage lower-order capabilities (BDAC) to build higher-order organizational capabilities (innovativeness and risk-taking) and improve performance. Finally, managers are advised to utilize ACAP to identify external opportunities that contribute to performance.

The current study leverages the resource-based view (RBV) to provide new insights into the significance of innovativeness and risk-taking as key drivers to harness the benefits of BDAC for improving the performance of SMEs. Moreover, this study presents evidence of the moderating role of ACAP in the above relationships.

This paper aims to examine the mediating role of employees’ intrinsic motivation in the relationship between perceived ambidextrous organizational culture and innovative behaviour among information technology (IT) sector employees.

The study used a quantitative research methodology, using a questionnaire to gather data from a sample of 510 employees across a range of IT organizations and various roles in the Indian IT sector. Smart partial least squares structural equation modeling Version 3 was used for the analysis and interpretation of the study.

The findings revealed a significant positive relationship between perceived ambidextrous organizational culture and employees’ innovative behaviour in the Indian IT sector. Moreover, the study established that employees’ intrinsic motivation played a significant mediating role in this relationship.

This study stands out for its exploration into how employees’ intrinsic motivation mediates the relationship between ambidextrous organizational culture and innovative behaviour. It offers valuable insights for enhancing organizational creativity by understanding the critical role of intrinsic motivation.

The main focus is to provide a non-similar solution for the magnetohydrodynamic (MHD) flow of Casson fluid over a curved stretching surface through the novel technique of the artificial intelligence (AI)-based Lavenberg–Marquardt scheme of an artificial neural network (ANN). The effects of joule heating, viscous dissipation and non-linear thermal radiation are discussed in relation to the thermal behavior of Casson fluid.

The non-linear coupled boundary layer equations are transformed into a non-linear dimensionless Partial Differential Equation (PDE) by using a non-similar transformation. The local non-similar technique is utilized to truncate the non-similar dimensionless system up to 2nd order, which is treated as coupled ordinary differential equations (ODEs). The coupled system of ODEs is solved numerically via bvp4c. The data sets are constructed numerically and then implemented by the ANN.

The results indicate that the non-linear radiation parameter increases the fluid temperature. The Casson parameter reduces the fluid velocity as well as the temperature. The mean squared error (MSE), regression plot, error histogram, error analysis of skin friction, and local Nusselt number are presented. Furthermore, the regression values of skin friction and local Nusselt number are obtained as 0.99993 and 0.99997, respectively. The ANN predicted values of skin friction and the local Nusselt number show stability and convergence with high accuracy.

AI-based ANNs have not been applied to non-similar solutions of curved stretching surfaces with Casson fluid model, with viscous dissipation. Moreover, the authors of this study employed Levenberg–Marquardt supervised learning to investigate the non-similar solution of the MHD Casson fluid model over a curved stretching surface with non-linear thermal radiation and joule heating. The governing boundary layer equations are transformed into a non-linear, dimensionless PDE by using a non-similar transformation. The local non-similar technique is utilized to truncate the non-similar dimensionless system up to 2nd order, which is treated as coupled ODEs. The coupled system of ODEs is solved numerically via bvp4c. The data sets are constructed numerically and then implemented by the ANN.

This paper aims to review how the metaverse influences and contributes to the halal industry, particularly focusing on halal logistics (HL), halal supply chain management (HSCM) and consumer behavior.

This paper analyzed scholarly studies to investigate existing literature and current as well as future trends in the adoption of the metaverse in HL, supply chains and consumer behavior. The study explores the thematic structure of the current knowledge landscape, identifies research gaps and highlights potential directions for future research at the intersection of the metaverse, supply chain and halal behavior. The authors identified 286 papers that examined the integration of the metaverse with HL practices, supply chain management strategies and consumer behavior in alignment with Islamic principles and standards.

The results indicate a limited number of studies on the successful adoption of the metaverse in HL, HSCM and behavioral research. This paper has proposed a framework for the metaverse-supply chain and halal behavior. The framework can serve as a reference for scholars and practitioners on how to incorporate advanced technology to engage with and predict market demand. Additionally, the metaverse-supply chain framework can be used to align with halal supply chain practices based on customer needs and preferences. The metaverse integrates the virtual world, enabling halal supply chain networks to enhance virtual reality, digital experiences and business performance.

The halal industry can showcase products and services through virtual scenarios, avatars and shops. By developing a halal-compliant metaverse, the halal industry can facilitate activities such as online sales, online payments and virtual marketing, thereby enabling a digital business transformation. Embracing the metaverse can improve business efficiency and influence consumer behavior, decisions and compliance with Shariah principles.

The authors argue that this paper is at the forefront and will serve as a reference for future research. This paper is distinct from existing literature, as it focuses on metaverse adoption and its correlation with a Shariah compliance framework in logistics, supply chain and behavioral aspects. Through its findings, this framework aims to inspire further empirical research and provide guidance and solutions to foster sustainable development in the halal industry.

This study aims to assess the oxidative stability of avocado oil (AO) at various temperatures, using butylated hydroxytoluene (BHT) as an artificial antioxidant and different concentrations of ultrasonic extract of Chlorella vulgaris.

Extracts of C. vulgaris were obtained using four solvents: water, acetone, ethanol and 80% ethanol-aqueous. Standard techniques were used to conduct qualitative phytochemical screening of the extracts. The extracted samples were analyzed for total phenolics, total flavonoids, antioxidant activity and phenolic compound fractionation. Some physicochemical parameters of AO treated with various concentrations of C. vulgaris ultrasonic extract compared to a 200 ppm BHT and exposed to different temperatures were measured.

The highest phenolic, flavonoids content and antioxidant activity was achieved by 80% ethanolic extract of C. vulgaris . The results showed that exposure of AO to high temperatures led to significant changes in the oil's physicochemical properties. These changes increased as the temperature increased. On the other hand, adding 80% ethanolic extract of C. vulgaris into AO reduced the effect of heat treatment on the change in physicochemical properties.

Adding 80% ethanolic extract of C. vulgaris into AO can potentially reduce the impact of heat treatment on the alteration of physicochemical properties.

This study aims to identify and examine the critical resultant impacts of the coronavirus (COVID-19) pandemic on quality assurance (QA) of cross-border construction logistics and supply chain (CB-CLSC).

This is achieved via embedded mixed-method design pragmatically involving desk literature review, survey and interviews from related experts within the Hong Kong Special Administrative Region (SAR)–Mainland China links. The design is further integrated with descriptive analysis, criticality test, rank agreement analysis, spearman correlation test and sentiment analysis.

The study revealed 10 critical resultant impacts of the COVID-19 pandemic on the QA of CB-CLSC, with the top three including “increased use of digital technologies (M10)”, “worker absence, labour shortage and decrease in work rate (M3)” and “changes to how construction sites operate (M9)”. Three underlying dimensions were discovered among all the critical resultant impacts: “cost-time-worker (CTW)-related impacts”, “work contract and operation (WCO)-related impacts” and “work process (WP)-related impacts”. The critical resultant impacts are reflected in the time, cost, raw materials and work processes, and this could manifest as negative as well as an opportunity to position the QA system to be adequate during the pandemic and post-pandemic era.

The study contributes to the knowledge body as it identifies and examines the critical resultant impacts of the COVID-19 pandemic on the QA of CB-CLSC. This is original research with invaluable primary data collected in the form of surveys and interviews from construction quality experts within the Hong Kong (SAR)–Mainland China links, known as the world’s factory.

This paper aims to examine the extent to which board composition and ownership structure (OS) affect a firm’s dividend payout (DP) policy.

The sample comprises a total of 1,432 firm-year observations for Gulf Cooperation Council (GCC) nonfinancial firms. Total 179 firms were analyzed from 2009 to 2016. To test the research hypotheses, the paper used panel data analysis (i.e. fixed effects model) and instrumental variable method to ensure the robustness of results against endogeneity effects.

Corporate governance (CG) variables were found to significantly impact DP. Specifically, independent directors on board, institutional ownership and royal ownership were positively associated with DP. In contrast, board size, management, government and family ownership had a negative association with DP. The empirical evidence presented in this study supports that CG elements can be both an outcome and substitute of DP as a disciplinary mechanism.

This study excluded financial firms from the sample list. Future studies should carry out on financial firms to observe if the findings are different. Future research is suggested to incorporate more CG mechanisms. Future studies are suggested to use a dynamic panel regression due to its advantages.

Practitioners, such as investors and lenders operating in GCC markets, can derive valuable insights from this study regarding the influence of board components on DP policy. The study also provides information about the investment and business environment in GCC.

The contribution of this study lies in providing empirical evidence regarding the impact of CG mechanisms and OS on DP in GCC countries.