At the crossroads of innovation and responsibility, our study delves into CSR’s pivotal role in steering organizations toward sustainable value creation. Combining the frameworks of stakeholder theory, the resource-based view, and dynamic capabilities theory, this study examines the influence of corporate social responsibility (CSR) in enhancing sustainable value creation (SVC), with a keen focus on how organizational learning (OL) and innovation capability (IC) mediate this relationship and the degree to which stakeholder engagement (SE) moderates the impact of CSR on OL, IC, and SVC. Using a quantitative research approach, 416 managers in the Turkish manufacturing sector (e.g., textiles, building materials, and food processing firms) were surveyed using electronic and physical questionnaires. To test the research model, AMOS 24 was employed. The results confirmed that CSR positively influences SVC, OL, and IC; OL and IC positively influence SVC; OL and IC partially mediate the relationship between CSR and SVC. Likewise, the findings suggest that stakeholder engagement (SE) plays a moderate role in strengthening the relationship between CSR and organizational learning (OL), CSR and innovation capability (IC), and CSR and sustainable value creation (SVC), with increased SE enhancing the positive effect of CSR on OL, IC, and SVC. This study explains the complex ways that CSR enhances SVC, focusing on OL and IC’s mediating roles and SE’s moderating effects. It offers manufacturing sectors in Turkey useful information for promoting sustainability and innovation.

This study examines how Industry 4.0 (I4.0) technologies enhance supply chain resilience (SCR) in manufacturing firms by testing the mediating roles of supply chain agility (SCAG), supply chain adaptability (SCAD) and the moderating effect of customer integration (CI). Grounded in the Resource-Based View (RBV) and Dynamic Capabilities View (DCV), the research conceptualizes digital technologies—such as the Internet of Things (IoT), big data analytics, and artificial intelligence (AI)—as both strategic resources and enablers of dynamic capabilities in turbulent environments. Survey data were collected from 273 manufacturing firms in Turkey, a context shaped by geopolitical and economic disruptions, and analyzed using structural equation modeling (SEM). The results indicate that I4.0 technologies positively affect SCR directly and indirectly through SCAG and SCAD. However, while agility consistently strengthens resilience, adaptability shows a negative mediating effect, suggesting context-specific constraints. CI significantly amplifies the positive impact of I4.0 on SCR, underscoring the importance of external relational capabilities. Theoretically, this research advances supply chain literature by integrating RBV and DCV to explain how digital transformation drives resilience through distinct dynamic capabilities. Practically, it offers guidance for managers to combine digital infrastructure with collaborative customer relationships to mitigate disruptions and secure long-term performance. Overall, the study provides an integrated framework for building resilient supply chains in the digital era.

With the rapid development of artificial intelligence (AI), AI for smart decision-making is attracting a lot of attention, but research on this topic in smart cities is not yet comprehensive. Thus, the current research aimed to examine the direct and indirect (via technology anxiety) relationships between artificial intelligence (AI), technology anxiety, and smart decision-making (SDM). The research article also examines the moderating role of internal threats of IoT on AI and technology anxiety and the relationship between AI and smart decision-making. 614 cross-sectional data gathered from participants from public and private sectors in Turkey were utilized to investigate the aforementioned relationships. The results indicated that AI had a positive influence on smart decision-making. AI contributes negatively to technology anxiety. Technology anxiety has a negative effect on smart decision-making. Technology anxiety partially mediated the direct effect of AI on smart decision-making. The results revealed that internal threats of IoT moderated the negative relationship between AI and artificial intelligence, such that the negative relationship is further strengthened when internal threats of IoT are high. The results also indicated that internal threats of IoT moderated the positive direct relationship between AI and smart decision-making, such that the positive relationship is weakened when internal threats of IoT are high. The findings present crucial practical implications for government and local authorities in building smart cities.

The construction industry faces significant challenges in ensuring worker safety, encompassing both physical hazards and mental health concerns. Drawing on Social Exchange Theory (SET), this study explores the impact of perceived leadership support (PLS) on employee safety behavior (ESB) and safety citizenship behavior (SCB), focusing on the mediating role of SCB and the moderating effect of safety learning (SL). A quantitative approach was employed, collecting a sample size of 410 construction workers from various companies within the Turkish construction sector. Data were collected through electronic questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that PLS positively influences both ESB and SCB. Additionally, SCB mediates the relationship between PLS and ESB, while SL moderates the effect of PLS on both SCB and ESB, further strengthening the positive relationships. This study highlights the critical role of leadership support and safety learning in promoting safer behaviors within the construction industry, suggesting that organizations should cultivate a proactive safety culture to enhance safety outcomes.

This study examines the role of government support (GS) in facilitating green supply chain management (GSCM) practices in Libya. It focuses on the moderating effect of green market orientation (GMO) and the mediating role of employee environmental commitment (EEC). The study explores how government policies drive sustainable supply chain practices, considering the influence of employees’ environmental awareness and market orientation. This study uses empirical data from various Libyan industries and applies structural equation modeling (SEM) to analyze relationships. The results show that GS positively impacts EEC, enhancing the adoption of GSCM practices. Furthermore, GMO strengthens the relationship between EEC and GSCM implementation. These findings highlight the importance of government support in fostering environmental sustainability within supply chains. This study contributes to the literature on sustainable supply chain management by providing empirical evidence from a developing country, offering valuable insights for policymakers and business leaders in Libya and similar regions.

Amid growing environmental concerns and an increasing push for sustainable development, countries in the Middle East and North Africa (MENA) region have taken proactive steps toward green growth, energy transition, and technological innovation. As a result, this study examines the effects of green growth, energy transition, technological innovation, financial inclusion, and urbanization on environmental sustainability in the Middle East and North Africa (MENA) region. Moreover, this study breaks new ground by exposing the hidden environmental costs of financial inclusion, urbanization, and technological innovation in the MENA region’s development trajectory, thereby providing compelling evidence for rethinking sustainability through an integrated approach that aligns economic ambition with ecological responsibility. Data for the studied variables were sourced from the World Bank database covering the period 1990 to 2021. The results show that green growth and energy transition significantly reduce CO₂ emissions, supporting the idea that economic expansion aligned with environmental priorities can contribute to ecological improvement. However, the impact of technological innovation is statistically insignificant, indicating that innovation in the region has not yet translated into meaningful environmental gains, possibly due to the dominance of non-green or industrial-focused innovation. Financial inclusion is found to increase CO₂ emissions, likely by facilitating greater access to credit and financial services that fuel energy-intensive consumption and production activities. Similarly, urbanization also contributes to rising emissions, reflecting the unsustainable nature of urban growth in many MENA region. Based on this study, we advocate for a coordinated regional approach to climate and energy policy, underpinned by shared governance and collective action.