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This study aims to determine the factors that influence investors’ behavioral intentions in investing in green retail sukuk through the constructs offered by the extended pro-environmental planned behavior (PEPB) theory and adding several other constructs such as perceived benefit (PB), perceived risk (PR) and religious value (RV).

Non-probability sampling was used to collect data from 460 Muslims living on Java who had invested in green sukuk retail and had a basic understanding of it as an alternative Islamic investment instrument. PLS-SEM was used to test the data with SmartPLS 3.0.

Perceived authority support (PAS) and perceived environmental concern (PEC) positively and significantly affect attitude (AT), subjective norm (SN) and perceived behavioral control (PBC). This study also shows that SN, PBC, PB, PR and RV boost INT significantly. AT has a positive but insignificant effect.

This study has limitations from the demographic aspect of respondents who only accommodate respondents who are Muslim and live in Java Island.

This research suggests ways to socialize green sukuk investment to the public as potential investors by describing environmental benefits and how retail green sukuk can benefit investors and the environment. Competent parties who understand Islamic finance, and muamalah contracts can socialize beginner voters who do not understand the risks and rewards of green sukuk investments.

This research suggests ways to socialize green sukuk investment to the public as potential investors by describing environmental benefits and how retail green sukuk can benefit investors and the environment.

This study introduces environmental-based constructs PAS and PEC, which are infrequently used in research models that measure the intention to invest in green investment instruments like green sukuk. Additional constructions like PB, PR and RV enhance research results.

The spectrum resources are becoming increasingly scarce and underutilized, and cooperative spectrum sensing (CSS) in cognitive wireless sensor networks (CWSNs) offers many solutions with good results, but this paper aims to address the significant issue of CSS in the context of low signal-to-noise ratio (SNR).

This study proposes Pearson Correlation Coefficient (PCC) to obtain value feature values under the Rayleigh channel model, which are then used for Memorial K-means Clustering (MKC) analysis of CSS in CWSNs at low SNR regimes. In addition, MKC algorithm is used for training and converted it into supervised model.

A series of numerical simulation results demonstrate that the correctness and effectiveness of the proposed MKC, especially the detection and false alarm probabilities in a low SNR condition. The detection probability is increased by 5%–12% at low SNR compared with other methods.

The MKC algorithm can reduce the impact of randomness on the clustering centers for multiple groups, which combined with PCC can effectively reduce the influence of noise at low SNR, and the unsupervised transformed model effectively reducing the complexity of re-discrimination.

This study employs the norm activation model (NAM) and the elaboration likelihood model (ELM) to investigate the drivers of consumers’ buying intent (BUI) for eco-friendly products (EFP). The primary emphasis is on eco-consciousness, which includes environmental literacy (ENL) and environmental concern (ENC). The research further examines the mediating role of ENC in the relationship between ENL and BUI while also considering the sequential mediation effects involving both ENC and eco-responsible practices (ERP). Additionally, the study explores the moderating influence of attitude (ATT) on the relationship between ENC and ERP and its effect on ERP and BUI.

Employing purposive sampling, 412 online survey responses were statistically analysed using partial least squares structural equation modelling (PLS-SEM).

The findings of this study demonstrate that ENL exerts a significant and positive influence on ENC, subsequently enhancing BUI. Moreover, there is a positive relationship between ENC and ERP and ERP and BUI. This research further indicates that ENC positively mediates the relationship between ENL and BUI. Additionally, ENC and ERP sequentially and positively mediate the relationships involving ENL and BUI. Furthermore, the results suggest that the strength of the association between ENC and ERP marginally decreases (trivial), and the strength of the relationship between ERP and BUI decreases (small).

This study advances the existing body of knowledge by integrating NAM and ELM to examine the drivers of consumers’ BUI toward EFP thoroughly. The research offers novel insights into the relationship between ENL and ENC and their effects on ERP and BUI, underscoring the significant role of consumers’ eco-consciousness. The findings have practical implications for businesses and policymakers who seek to formulate strategies that align with consumers’ psychological, cognitive, and behavioural processes in the context of Sustainable Development Goal 12 (SDG12), which can contribute to the global effort to foster more eco-friendly products and a sustainable future.

Implementing big data analytics (BDA) for supply chain ambidexterity (agility and adaptability) and green supply chain (GRSC) presents various organizational challenges. These include leveraging BDA capabilities to balance agility and adaptability, integrating this combined approach with GRSC and aligning these efforts to enhance firm performance. This study explores the associations between BDA, supply chain agility and adaptability, GRSC and their impact on firm performance.

Incorporating a resource-based view and contingency theory, we developed a research framework and validated it with data from 355 Chinese firms. Partial least squares structural equation modeling was used to analyze the data.

The findings demonstrate that BDA capabilities had direct impact on supply chain agility and adaptability, GRSC and firm performance. Moreover, the combination of supply chain agility and adaptability affected GRSC; which in turn significantly influenced firm performance. Supply chain agility and adaptability mediated the relationship between BDA capabilities and GRSC. Additionally, GRSC mediated the relationship between BDA capabilities, supply chain agility and adaptability and firm performance.

This study offers both a theoretical and empirical examination of the relationships between BDA capabilities, supply chain agility and adaptability, GRSC and firm performance. By assessing the direct and mediating effects of these factors on China’s industrial sector, it presents new theoretical and practical insights into BDA and GRSC, thereby enhancing the value of the existing literature.

This research, grounded in the conservation of resources (COR) theory, investigates the impact of supervisor incivility on emotional exhaustion and nurses’ job neglect. It also examines the buffering roles of resilience and professional calling in shaping the relationship between supervisor incivility and emotional exhaustion, as well as between emotional exhaustion and nurses’ job neglect.

The study uses multisource and time lag data from registered nurses (N = 426) using self-administered questionnaires. At time T1, nurses self-report about resilience, supervisor incivility, emotional exhaustion and professional calling. At time T2, they rate each other’s job neglect in pairs (N = 213).

The findings indicate a significant positive relationship between supervisor incivility and nurses’ job neglect partially mediated by emotional exhaustion. Additionally, resilience and professional calling function as strong buffers, mitigating the effects of supervisor incivility on emotional exhaustion and job neglect, respectively.

The contribution of the study lies in its exploration of the underlying COR, thus connecting supervisor incivility to job neglect among nurses, offering valuable insights into the mediating role of emotional exhaustion and the moderating effects of resilience and professional calling. These findings extend the theoretical understanding of workplace incivility and provide actionable implications for fostering supportive environments in healthcare settings. However, the reliance on convenience sampling and a relatively small sample size (N = 426) limits the generalizability of the results. Future research should address these limitations by employing larger, more diverse samples to validate and expand upon these findings.

The study offers practical implications for healthcare organizations by highlighting the need to address supervisor incivility through training programs, resilience-building initiatives and fostering a sense of professional calling among nurses. These interventions can mitigate emotional exhaustion, reduce job neglect and promote a supportive work environment, ultimately enhancing nurse well-being and patient care quality.

This study from the perspective of COR theory contributes uniquely to the literature by bridging gaps in understanding how supervisor incivility impacts nurses’ job neglect via emotional exhaustion which remained a relatively underexplored area. It also advances knowledge by introducing resilience and professional calling as moderators, providing a comprehensive framework for addressing the adverse effects of workplace incivility in the healthcare sector.

The chapter introduced stealth construction as a transformative concept emerging in the construction industry, emphasising resilience and efficiency through innovative technologies, cutting-edge materials, and advanced methodologies. Drawing parallels to stealth aircraft, stealth construction aims to create buildings and infrastructure that blend seamlessly into their environments, minimising environmental impact and enhancing sustainability. This approach integrates smart materials, strategic planning, and covert practices throughout all construction stages, ensuring robust, adaptive, and discreet structures. Stealth construction represents a significant paradigm shift by prioritising energy efficiency, environmental responsibility, and resilience against natural disasters and cyber threats. It combines modern aerospace engineering principles with diverse construction practices to achieve construction invincibility, setting new standards for the industry regarding sustainability, security, and aesthetics.

This study aims to empirically examine the influence of transformational leadership on job satisfaction in Jordanian commercial banks through knowledge sharing as a mediator. The data were collected from 232 employees and then analyzed through regression analysis using SPSS. The results revealed that there is a significant influence of transformational leadership on job satisfaction, as well as a significant influence of knowledge sharing on this relationship. These findings imply that if managers adopt transformational leadership, their subordinates can be satisfied with their jobs, specifically if they facilitate knowledge sharing. This study sheds light on improving organizational performance and employee engagement in a specific context and provides excellent direction for future contributions.

The primary purpose of this research is to investigate the flow and heat transfer characteristics of non-Newtonian nanofluids, specifically Reiner–Philippoff (R-Ph) fluids, across a radially magnetized, curved, stretched surface. By considering factors such as Brownian motion, thermophoresis and viscous dissipation, the study aims to enhance the understanding of heat transfer mechanisms in various engineering and industrial applications, thereby contributing to improved thermal management strategies.

This study employs the local non-similarity method to analyze the flow and thermal behavior of R-Ph nanofluids over a radially magnetized, curved, stretched surface. The governing system is simplified using suitable transformations, and a local non-similarity approach is applied to treat non-dimensional partial differential equations as ordinary differential equations. The resulting system is numerically solved by employing the Bvp4c algorithm via MATLAB. Various dimensionless parameters, such as thermophoresis and magnetic numbers, are systematically varied to evaluate their impact on the velocity, concentration and temperature profiles of the nanofluid.

The results indicate that the concentration profile of the nanofluid improves with increasing thermophoresis and magnetic numbers, while it decreases with higher Schmidt and Bingham numbers. The velocity of the nanofluid decreases with larger magnetic numbers and curvature parameters but increases with the R-Ph fluid and Bingham numbers. Additionally, the temperature profile shows a decreasing trend for higher curvature and Bingham numbers while rising with higher Brinkman and magnetic numbers. The Sherwood number increases with Schmidt number, thermophoresis and Brownian motion parameters.

This study provides a novel analysis of R-Ph nanofluids in the context of curved stretching surfaces under magnetic fields, contributing to the understanding of non-Newtonian fluid dynamics. The use of the local non-similarity method to transform and solve the governing equations offers a fresh perspective on heat transfer phenomena. The findings have significant implications for various fields, including engineering, electronics and biomedical applications, by enhancing thermal efficiency and performance in systems utilizing nanofluids.

Construction projects in developing countries frequently face criticism for engaging in social and environmentally irresponsible practices. Therefore, the purpose behind this research stems from the critique, requiring to formulate a comprehensive corporate social responsibility (CSR) framework that integrates sustainable innovation into business processes through stakeholder engagement.

In total, 23 experts from the Pakistan construction industry took part in the Delphi study. Criteria set in terms of diverse backgrounds, organization size, characteristics or experiences of experts.

The finding reveals that the integration of CSR with sustainable innovation demands significant change in business processes, starting from planning, implementing and oversighting stages of project management and a demand for top management commitment to realize sustainable benefits that deliver value to all stakeholders.

Construction projects in developing countries frequently face criticism for engaging in socially and environmentally irresponsible practices. Therefore, the purpose behind this research stems from the critique, requiring to formulate a comprehensive CSR framework that integrates sustainable innovation into business processes through stakeholder engagement. In total, 23 experts from the Pakistan construction industry took part in the Delphi study. Criteria set in terms of diverse backgrounds, organization size, characteristics, or experiences of experts. The finding reveals that the integration of CSR with sustainable innovation demand significant change in business processes, starting from the planning, implementing and oversighting stages of project management and a demand for top management commitment to realize sustainable benefits that deliver value to all stakeholders.

The aim of this study is to identify the factors affecting supply chain responsiveness. Additionally, it investigates the relationships between supply chain responsiveness, customer satisfaction and competitive power.

A quantitative method was adopted. Data were collected from 290 companies operating in Turkey and tested with structural equation modeling.

The results show that supply chain responsiveness is related to continuous process improvement, supplier integration and environmental uncertainty but not to customer integration. The findings also present relationships between supply chain responsiveness, customer satisfaction and competitive power.

The findings indicate that decision-makers should invest in continuous process improvement and supplier integration. They also need to understand that their supply chain responsiveness depends on the environmental dynamism of their sectors, and they must direct their efforts accordingly. Finally, decision-makers wishing high customer satisfaction and competitive power must value supply chain responsiveness and take necessary actions to achieve it.

A literature review for this study indicated very limited empirical evidence of the relationship between continuous process improvement, supplier integration, customer integration, environmental uncertainty and supply chain responsiveness. Similarly, there was a quest for more research on the relationships between supply chain responsiveness, customer satisfaction and competitive power. This work will enhance the literature by adding knowledge in these areas.