Purpose: Environmental sustainability emerged as a crucial focus for manufacturing firms, serving as a pivotal strategy for preserving ecological balance and overall business performance improvement across environmental, financial and social aspects. Considering that supply chain (SC) management is a central and strategic function for manufacturing firms, companies are now embracing green supply chain management practices (GSCMP) and green supply chain integration (GSCI) to limit resource wastage and pollution levels, depletion of ecological resources, and emissions. Therefore, this study delves deep into the influence of GSCMP and GSCI on sustainable performance (SP) and the mediating impacts of green innovation (GI) and green absorptive capacity (GAC), alongside the moderating effect of big data analytics capability (BDAC). Design/methodology/approach: Empirical data were sourced from the manufacturing firm’s managers working in Pakistan and analyzed through partial least square structural equation modelling (PLS-SEM). Findings: Results indicated significant insights, demonstrating a positive effect of GSCMP and GSCI on GI and GAC, both of which ultimately result in improved SP. Thus, GI and GAC act as significant mediators and BDAC as a moderator among GSCMP, GSCI and SP. Practical implications: The outcomes put forward that by adopting a synergistic approach to greening the SC and implementing green strategies, firms can reduce carbon emissions, enhance performance and work towards a greener future with carbon neutrality. Originality/value: This research considerably adds to the field’s current knowledge by stressing the need for a holistic approach to greening the entire SC by integrating internal (GSCMP, GI, GAC) and external (GSCI) efforts strategically to minimize the contribution of manufacturing SCs to environmental demolition.

Purpose: In light of the complex and volatile business environment, the study aims to examine the influence of supply chain technological capabilities (SCTCs) on supply chain learning (SCL) and supply chain integration (SCI). Additionally, it examines the impact of supply chain learning and integration on supply chain absorptive capacity, as well as the effect of supply chain absorptive capacity (SCAC) on supply chain resilience (SCR) and supply chain robustness (SCRO). Design/methodology/approach: This study adopts a quantitative approach, with data collected from 411 manufacturing firms in China. For data analysis, PLS-SEM was utilized to achieve the study objectives. Findings: The outcome reveals that SCTCs favorably influence both SCL and SCI. Furthermore, SCL and SCI positively affect SCAC, which in turn has a beneficial impact on the SCR and SCRO. Practical implications: Practitioners gain actionable insights into leveraging SCTCs to enhance collaborative learning and integration, strengthening absorptive capacity. The study guides firms in designing adaptive supply chains by prioritizing technology adoption, knowledge-sharing mechanisms, and agile partnerships to mitigate disruptions. Originality/value: Grounded in the dynamic capabilities view, this study advances academic understanding by empirically validating a novel framework linking SCTCs, SCL, SCI and SCAC to SCR and SCRO. Unlike prior studies, it uniquely examines the interplay of these constructs in disruption contexts, addressing a critical gap in supply chain literature. The findings reveal that SCTCs are foundational to fostering SCL and SCI, amplifying SCAC —a key driver of SCR and SCRO.

Reverse logistics is a known supply chain practice and has been proven effective in recent decades. In developing countries, these practices are already employed and considered beneficial for the business or firms. The reverse logistics concept creates value for customers and firms. Considering this, this study intends to highlight reverse logistics practices in Pakistan and examine the reverse logistics impacts on competitive advantage with the mediating role of the firm’s organizational performance in Pakistan’s manufacturing industries. In this study, plastic bottle manufacturing firms working in Pakistan were selected to collect the data. Hence, to collect the data from these firms, a survey technique was sought to determine the impact of reverse logistic practices on competitive advantage with the mediating role of organizational performance. A structured and adapted questionnaire was used in this regard. Organizational performance was assumed as the operational and financial performance of these firms. Data were collected using a convenience sampling technique, and the targeted population was the middle-level employees of bottle manufacturing firms. The statistical tool was adopted as the study was quantitative, and results were extracted numerically. IBM SPSS and AMOS version 24 were used as supporting statistical analysis and interpretation tools. Data analysis demonstrated that out of 219 respondents, 68 were supervisors, and others were middle managers. Statistics show that most females were supervisors, and most males were middle managers. “Confirmatory Factor Analysis (CFA)” was performed to examine the fit of the three-factor model, showing good fit indices (Chi-square/df = 2.71, CFI = 0.902, TLI = 0.896, RMSEA = 0.081), which indicates that the model fits the data well. According to the study’s findings, a significant impact was examined between reverse logistics and competitive advantage, and a mediating role was confirmed between those variables. This study poses unique strengths in theoretical and practical ways and helped enrich the available literature and findings.