Achieving Supply Chain Sustainability Through Green Innovation: A Dynamic Capabilities-Based Approach in the Logistics Sector

This study investigated the impact of blockchain-driven supply chain analytics on the dimensions of lean, agile, resilient, green, and sustainable (LARGS) supply chain management, as well as supply chain innovation (SCI) and sustainable supply chain performance (SSCP). The research involved 262 managers and vice presidents of supply chains from large- and medium-sized manufacturing companies listed in the Tehran Stock Exchange. A hybrid approach utilizing structural equations modelling with partial least squares-structural equation modeling (PLS-SEM) and the adaptive neuro-fuzzy inference systems (ANFIS) technique was employed for data analysis. The findings demonstrated a significantly positive effect of blockchain-driven supply chain analytics on SCI, the LARGS supply chain, and SSCP. Additionally, SCI exhibited a significantly positive impact on the LARGS supply chain and SSCP. Moreover, the LARGS supply chain was shown to have a significantly positive influence on SSCP. Both SCI and the LARGS supply chain played positive and significant mediating roles in the impact of blockchain-driven supply chain analytics on SSCP. Furthermore, the LARGS supply chain also acted as a significant mediator in the effect of SCI on SSCP. Lastly, SCI had a positive and significant mediating role in the impact of blockchain-driven supply chain analytics on the LARGS supply chain. In conclusion, it can be inferred that blockchain-driven supply chain analytics contributes to the enhancement of SSCP through the facilitation of SCI and the promotion of LARGS supply chain principles.

Big data analytics as an operational excellence approach to enhance sustainable supply chain performance

Purpose This research aims to explore the impacts of Industry 4.0 technologies (I4.0Ts) on sustainable supply chain performance (SSCP) in the Iraqi manufacturing industry. It explores the mediating impact of circular economy practices (CEP) and supply chain resilience (SCR) and the moderating impacts of environmental dynamism (ED) and supply chain integration (SCI). Design/methodology/approach A quantitative research design was used, and 426 respondents from Iraqi manufacturing companies were surveyed. The data were analyzed with SmartPLS 4 for the partial least squares-structural equation modeling (PLS-SEM) approach – to assess the measurement model and determine the relevancy of the hypotheses that were embedded in the input model. Findings The findings specify that I4.0Ts have a significant positive influence on SSCP, CEP and SCR. Besides, together SCR and CEP significantly mediate the correlation between I4.0Ts and SSCP. Additionally, ED positively moderates the effects of I4.0Ts on SCR and CEP, while SCI improves the effect of SCR and CEP on SSCP. These results demonstrate that digital technologies yield stronger sustainability outcomes when combined with organizational capabilities such as resilience, circularity and integration. Originality/value Theoretically, the study extends the natural resource-based view theory by incorporating digital transformation and contextual moderators into SSCP frameworks. Practically, the findings offer actionable guidance for manufacturing executives and policymakers aiming to improve sustainability through digital adoption, circularity and resilience.

ABSTRACTThis study examines the crucial role of digital leadership in advancing sustainable development by fostering green innovation and enhancing firm sustainability. Building on Organizational Learning Theory (OLT) and Dynamic Capabilities Theory (DCT), this research fills a key gap by examining how digital leadership integrates digitalization with sustainable development, particularly within the Chinese information technology sector. The study investigates the impact of digital leadership on green innovation and sustainable performance, moderated by top management innovativeness. To enhance analytical robustness and minimize bias, a three‐phase time‐lagged data collection approach was employed to mitigate common method bias and ensure robust analysis, with responses from 413 employees representing diverse roles. The results indicate that digital leadership positively influences the green innovation process, which partially mediates the relationship between digital leadership and firm sustainability. Furthermore, the findings reveal that top management innovativeness amplifies the positive effects of digital leadership on green innovation, reinforcing the importance of leadership‐driven sustainability strategies. These insights contribute to the expanding discourse on corporate digital sustainability, demonstrating that digital transformation not only enhances operational efficiency but also serves as a catalyst for long‐term sustainable development. The study offers valuable implications for policymakers, business leaders, and researchers committed to leveraging digital leadership for corporate sustainability and the achievement of Sustainable Development Goals (SDGs).

PurposeThis study aims to investigate the impact of a firm’s supply chain capabilities on supply chain resilience, and the impact of supply chain resilience on sustainable supply chain performance in a data-driven business environment. The study also aims to explore the function of supply chain resilience in mediating the relationship between a firm’s supply chain capability and sustainable supply chain performance.Design/methodology/approachPrimary data were acquired through a survey of 310 managers of small- and medium-sized businesses in a variety of industries across Bangladesh. The data were analyzed using partial least squares structural equation modeling.FindingsA firm’s supply chain capabilities include information technology, leadership and collaboration. Supply chain capability is positively associated with supply chain resilience. The resilience of a firm’s supply chain is also positively correlated with its sustainable supply chain performance. Supply chain resilience plays a mediating role in the relationship between a firm’s supply chain capabilities and its sustainable supply chain performance.Research limitations/implicationsThis study provides a theoretical contribution by corroborating practical knowledge focusing on firms’ supply chain capability, supply chain resilience and sustainable supply chain performance by using a resource-based view and dynamic capability theory – a relevant and unexplored subject in the supply chain literature – and proposes several opportunities for future research.Practical implicationsThe results highlight the study’s managerial and social relevance from the perspective of firms in developing countries. As firms shift toward an online environment, managers and decision-makers need to make strategic decisions, as they did to overcome the challenges presented by COVID-19.Originality/valueThe study’s findings demonstrate that firms’ supply chain capabilities can be leveraged to increase supply chain resilience. Firms’ resilience during COVID-19 allowed them to avoid losses and to improve their supply chain’s sustainable performance. To the best of the authors’ knowledge, their complex higher order model is a unique contribution to the literature on firms’ supply chain capability and extends previous research on this topic.

ABSTRACTIn the era of digital transformation (DT), achieving sustainable supply chain performance (SSCP) has become a strategic imperative for manufacturing firms. While DT is widely recognized as a key enabler of sustainability, its specific influence on SSCP, particularly through the mediating roles of supply chain agility (SCA), supply chain resilience (SCR), and supply chain collaboration (SCC), remains underexplored. Drawing on the dynamic capabilities view (DCV), this study examines how DT impacts SSCP by conceptualizing SCA, SCR, and SCC as mediating capabilities. A quantitative research approach was employed, utilizing survey data collected from 214 managers in Saudi Arabia's manufacturing sector. Data were analyzed using partial least squares structural equation modeling (PLS‐SEM). The results indicate that DT positively affects SCA, SCC, and SCR, and also exerts a direct positive effect on SSCP. Furthermore, these three capabilities partially mediate the relationship between DT and SSCP, suggesting that digital technologies enhance sustainability outcomes by strengthening internal supply chain capabilities. This study extends the DCV framework by validating the mediating roles of SCA, SCR, and SCC in the relationship between DT and SSCP. From a practical standpoint, the findings offer actionable insights for manufacturing firms aiming to improve sustainability performance by leveraging digital tools, fostering collaboration, and enhancing agility and resilience.

This study investigates the impact of lean and green supply chain practices on business process performance and sustainable supply chain performance. The research utilises the resource-based view (RBV) theory to construct a conceptual model wherein lean and green supply chain practices are employed to augment business processes and sustainable performance. Concurrently, dynamic capabilities theory is applied to signify an organisation’s capacity to adapt and evolve in response to internal and external pressures from customers and competitors. The conceptual model is validated using structural equation modelling with a sample of 170 supply chain practitioners from the apparel and textile supply chain in Jordan. Results indicate that lean practices exhibit no direct impact, whereas green practices significantly influence business process performance and indirectly affect sustainable supply chain performance. Business process performance does not mediate the relationship for lean practices, but it does so for green practices. Moreover, the environmental orientation of both competitors and customers negatively moderates the impact of green practices on business processes and sustainable supply chain performance. These findings contribute to existing literature and underscore the crucial role of green supply chain practices in enhancing sustainable supply chain performance in the apparel and textile industry.

Background: This study conceptualizes supply chain ambidexterity through two capabilities, supply chain adaptability and agility. Accordingly, it investigates the impact of supply chain adaptability and agility on green product innovation (GPI) and supply chain sustainability in Jordanian manufacturing firms. It also examines the mediating role of GPI in these relationships. The study is based on dynamic capabilities theory (DCT) as the theoretical foundation. Methods: A quantitative research approach was employed, with data collected from 346 supply chain managers using a structured questionnaire. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used for analysis. Results: The findings reveal that supply chain adaptability does not directly influence sustainability but significantly enhances GPI, which positively impacts sustainability. Supply chain agility, however, directly and significantly improves both GPI and sustainability, highlighting its importance in achieving sustainable supply chain performance. Additionally, GPI mediates the relationship between supply chain ambidexterity and sustainability, reinforcing its role as a key enabler of eco-friendly supply chain management. These findings provide theoretical and managerial implications. Conclusions: The study extends DCT by confirming the role of GPI in linking supply chain ambidexterity to sustainability. Managers should prioritize agility, invest in sustainable products, and adopt green practices to enhance competitiveness.

Building sustainable supply chains: Role of supply chain flexibility in leveraging information system flexibility and supply chain capabilities

Green transition in the hospitality industry: The influence of market forces and customer dynamics on sustainable performance in the digital era

This paper aimed to analyze the effect of green supply chain integration (GSCI) on sustainable supply chain performance (SSCP), as well as consider the mediating and moderating effects of green innovation (GInv) and green value co-creation (GVCc). This empirical study is based on a survey of 317 senior managers from agro-based companies involved in manufacturing and extractive industries in Nigeria. The empirical research model is examined utilizing partial least squares structural equation modeling (PLS-SEM). The discovery entails that GSCI positively and substantially impacted SSCP and GInv. The research suggests that green innovation serves as a mediator in the relationship between GSCI and SSCP. Moreover, green value co-creation exerts a detrimental moderating influence on the GSCI-SSCP paradigm. Meanwhile, the originality of this study emanated from being the first to objectively explore the simultaneous moderating and mediating effects of GInv and GVCc on the relationship between GSCI and SSCP.

PurposeThe purpose of this paper is to develop a theoretical model that explains the impact of big data analytics capabilities (BDAC) on company's supply chain innovation capabilities and sustainable supply chain performance. BDAC is represented through two dimensions of big data technological capabilities (BDTC) and big data personal capabilities (BDPC). Moreover, the relationships between BDTC and BDPC with sustainable supply chain performance through the mediation effect of supply chain innovation capabilities are examined.Design/methodology/approachThe study used a quantitative research approach. A survey of 400 Jordanian manufacturing companies was carried out to conduct this research. However, the responses of 207 managers were valid to be used in the analysis. In this study, the SmartPLS software was used to perform structural equation modeling using a partial least squares approach (PLS-SEM) and to examine the measurement and structural model's validity and reliability.FindingsAccording to the results of this study, BDPC has a significant positive impact on supply chain innovation capabilities. Furthermore, the findings indicate that supply chain innovation capabilities are the most influential predictor of sustainable supply chain performance and act as a positive significant mediator in the relationship between BDPC and firm sustainable performance. Surprisingly, the study found that BDTC had no significant effect on supply chain innovation capabilities. Besides that, no significant relationship exists between BDTC and firm sustainable performance via the mediation effect of supply chain innovation capabilities.Originality/valueThis study provides an integrated research model that incorporates BDAC, supply chain innovation capabilities, and sustainable supply chain performance in order to analyze supply chain innovation and sustainable supply chain performance. This suggests that the scope of the study is broader in terms of predicting sustainable supply chain performance. As a result, the study intends to fill a gap in the literature by explaining how BDAC affects supply chain innovation capabilities and firms sustainable performance. In addition, the role of supply chain innovation capabilities as a mediator between BDAC and sustainable supply chain performance is investigated.

Do corporate social responsibility practices contribute to green innovation? The mediating role of green dynamic capability

A multi-criteria model of supply chain sustainability assessment and improvement for sugarcane agroindustry

Due to the recent economic crisis, the requirement for sustainable company performance has spread across the globe, with green initiatives being seen as the best way to address it. Recent literature and regulators have taken notice of this predicament. The deployment of green innovation, responsible leadership induction, and green human resource management (GHRM) techniques have been made necessary by the significant focus on attaining business sustainability. This study aims to provide light on the banking industry’s perception of how GHRM practices, green innovation, and responsible leadership affect business sustainability practices. The data were provided by 396 banking professionals employed by the top five commercial sector banks nationwide. By using the Mplus program for analysis, the study’s hypotheses were evaluated using structural equation modeling. The findings show a positive relationship between GHRM practices, ethical leadership, green process innovation, and sustainable company performance. However, an intriguing finding between responsible leadership and sustainable business performance was the role that pro-environmental conduct played as a partial mediator. The findings offer scholars and practitioners interested in firms’ sustainable business performance additional context-specific social, ecological, and financial implications. The effectiveness of GHRM practices, responsible leadership, and green innovation as a strategy to increase business sustainability in a developing country environment has only received minimal academic attention so far. A literary gap exists as few studies have been conducted to test the role of green HRM, responsible leadership, and green innovation’s impact on sustainable business practices. Small number of studies taken pro-environmental behaviors as a mediator in the recent past. In light of this, the present study has taken these behaviors as a mediator to test the mediation effect in the banking sector of Pakistan. So, the present study removed the gap by exploring the mediation effect of pro-environmental behaviors. The selection of Pakistan’s banking sector for analysis in the present study is a significant contribution to the literature because no studies have previously been conducted on Pakistan’s banking sector to analyze the role of green HRM practices, responsible leadership, and green innovation’s impact on sustainable business performance through the mediating role of their pro-environmental behavior. The present study provides guidelines to senior management in the banking sector to understand the role of green HRM practices, responsible leadership, and green innovation practices’ importance for sustainable business performance as sustainable performance is essential to excel in this competitive business world.