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This study aims to investigate how the management of supply chain information impacts the performance of the supply chain. This relationship is explored by considering the mediating influence of internal and external integration, which is underpinned by the principles of resource-based theory.

Data was collected from 144 supply chain professionals across different manufacturing companies. The proposed hypotheses were subjected to quantitative analysis using partial least squares structural equation modeling, and the validity of the measurement model was assessed with the assistance of SmartPLS software.

This study identified that information management (IM) significantly and positively affects internal integration (II), customer integration (CI) and supply chain performance (SCP). Similarly, the results showed that II significantly and positively affects SCP. Likewise, CI positively and significantly affected SCP. At the same time, II found a positive yet significant mediating role in the relationship between IM and SCP. CI was found to play a positive but insignificant mediating role in the relationship between IM and SCP.

This research evaluated a second-order model and tested the SCP in conjunction with the resource-based view in the manufacturing industry. This research could be beneficial for researchers, manufacturers and policymakers to attain organizational objectives by implementing an efficient IM system for better integration and SCP.

This article identifies hybrid nanofluids and industrial thermal engineering devices as significant sources of solar energy. In this study, various nanoparticles suspended in base fluids such as water (H2O) and carboxymethyl cellulose (CMC), along with nanoparticles like graphene oxide (GO) and molybdenum disulfide (MoS2), are examined. The model also incorporates permeability and the effects of angled magnetic fields to provide a comprehensive analysis.

We have utilized the fractal fractional operator definition, the quickest and most advanced fractional approach, to address the problems with the hybrid nanofluid suspension. The integral transform scheme, i.e. the Laplace transform, converts the governing equations into a fractional form before various numerical methods are applied to solve the problem. Further, some numerical schemes to address the Laplace inverse are also utilized.

The fractional effects on flow rate and heat transfer are evident at varying time intervals. Consequently, we conclude that as the fractal constraints increase, the momentum and heat profiles decelerate. Furthermore, all necessary conditions are satisfied, resulting in the momentum and temperature fields decreasing near the plate and increasing over time. Additionally, the water-based (H2O + Go + MoS2) solution exhibits a more pronounced impact compared to the CMC-based (CMC + Go + MoS2) hybrid suspension.

The findings could be very useful in enhancing the efficiency of thermal systems. These findings align more accurately with conventional solutions and can be used to build and optimize various heat management strategies.

The primary goals of this research are to examine the thermal and flow properties of hybrid nanofluids for manufacturing purposes of thermal engineering equipment utilizing fractal fractional definition. Further, to improve thermal system productivity by applying sophisticated fractional techniques to better and maximize heat and momentum transmission in these hybrid nanofluid solutions

This study aims to determine the role of intellectual capital (IC) on financial performance (FP), the mediating effect of high-performance work practices (HPWPs) and the moderating role of big data analytics on the banking sector operating in Pakistan.

This study collected quantitative and cross-sectional data using structured questionnaire forms distributed to selected targeted respondents using a convenient sampling technique. The 518 useable questionnaires were analysed using the SmartPLS software through a structural equation modelling technique to test the proposed research hypotheses.

The study results revealed that IC has shown an impact on FP. The role of HPWP significantly mediates between IC and FP, while the moderating role of big data analytics remains insignificant.

This study highlights IC's role in enhancing FP in the Pakistani banking sector. It will bring a higher quality IC in the banking sector, and they will be better positioned to serve the community. Policymakers need to invest in IC and HPWP and utilise BDA, which will boost FP and uplift the quality of the banking sector.

This study extends the concept of IC and adds the theoretical role of HPWPs and big data analytics in the literature on IC, along with the contextual application. The study also develops a unique role of the integrated IC model theory with a relationship to the banking sector of Pakistan.

The purpose of this study is to examine and validate the psychometric properties of the Green Innovative Work Behaviour (G-IWB) measure, aiming to enhance its conceptualisation and reliable assessment in the context of increasing environmental awareness.

Data for this research were collected using a survey method across three distinct samples and analysed to evaluate the multidimensionality, validity and reliability of the G-IWB scale.

The thorough assessment of the G-IWB scale provided critical insights into its psychometric robustness. Results confirmed the reliability and validity of the G-IWB scale, featuring a correlated five-factor model and higher-order structure, encapsulating 23 items that comprehensively reflect the dimensions of G-IWB.

The findings of this study offer substantial practical value for hospitality organisations, providing a reliable tool for measuring, assessing and fostering G-IWB. This research contributes to the expanding literature on green innovation by focusing on individual behaviours and enriching theoretical models with data-driven insights for advancing sustainable practices within the hospitality sector.

This research makes a significant contribution by introducing a multidimensional psychometric tool for evaluating G-IWB. It addresses the scholarly tendency to focus on unidimensional G-IWB measurements, thereby advancing a nuanced understanding that broadens the scope of G-IWB.