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In recent years, especially after the COVID-19 pandemic, home textile production orders decreased significantly. This sudden drop in production has increased industry competition, making customer satisfaction more challenging. As a result, it has become imperative for the industry to deftly navigate such ongoing challenges.

This study examines textile production efficiency methodically. Customer requirements like quality, on-time delivery, better working conditions, cost-effectiveness and facility safety audits are understood first. Quality function deployment (QFD) turns client requirements into technical requirements. Prioritise and analyse risks using Monte Carlo simulation and Pareto charts. Consequently, experts and literature propose corrective measures, which are tested in a pilot run to see how they affect production.

QFD, define, measure, analyse, improve and control (DMAIC) and Monte Carlo simulation were used to reduce high-priority risks and meet client requirements in this study. The house of quality helped relate customers’ requirements and technical requirements. Monte Carlo simulation has also improved risk prioritisation by providing a flexible mathematical structure for identifying and managing the most important risks.

This study is novel in the way it applies this integrated approach to the understudied home textile sector. Unlike traditional DMAIC, this study introduces a novel matrix encompassing all defects. This study offers a data-driven approach to improve product quality, meet customer expectations and reduce prioritised risks in home textile manufacturing.

Based on upper echelons theory and social contagion theory, we investigate how environmental leadership affects GIC via green human resource management (GHRM) and examine the moderating role of environmental climate.

We conduct hierarchical regression and use the bootstrap method to analyze the two-waved data from 317 Chinese manufacturers in order to verify the hypotheses.

The results indicate that GHRM mediates the impacts of environmental leadership on green human capital, structural capital and relational capital. In addition, environmental climate strengthens the positive impact of environmental leadership on GHRM.

Our study enriches the literature on GIC by uncovering the “black box” between environmental leadership and GIC, providing a logical framework opposite to mainstream GIC research, and expanding the boundary condition for GIC accumulation. This study provides more logical paths for enterprises and governments to increase the accumulation of GIC and promote green intellectual economy development.

This present study investigates how green intellectual capital (GIC) impacts sustainable competitive advantage (SCA) in Spanish wineries, further exploring the mediating roles of environmental management accounting (EMA) and green entrepreneurship orientation (GEO) in the primary GIC-SCA linkage. Moreover, the wineries’ age, size and membership in a protected designation of origin (PDO) are introduced as control variables to enhance the accuracy of the examined cause-effect associations.

This research, based on a theoretical framework developed by previous academic studies, utilizes partial least squares structural equation modeling (PLS-SEM) to analyze data collected from 207 Spanish wineries between September 2023 and February 2024.

The findings indicate that GIC positively impacts the SCA of Spanish wineries, with EMA and GEO partially mediating this relationship.

This study stands out for its pioneering incursion into the joint analysis of EMA and GEO as mediating factors in the GIC-SCA relationship, a perspective not previously examined in the academic literature as well as for its contextualization in the wine business setting, thus tracing a novel path in the understanding of environmental management and wineries’ intellectual capital.

There is currently a lack of comprehensive examination in the research field exploring the relationship between digitalization and environmental performance (EP) in manufacturing small and medium-sized enterprises (SMEs). This study investigates the relationship between digital technologies, digital organizational culture (DOC), environmental dynamism and EP through the mediation of innovation capacity (IC) and moderation of perceived environmental volatility and green strategic intent (GSI).

The data were gathered from 473 managers of manufacturing SMEs in Pakistan. Partial least square structural equation modeling (PLS-SEM) was applied to examine the mediation and moderation effects. Multiple regression analysis was used to see the influence of digital technologies, DOC, environmental dynamism, innovation capacity, perceived environmental volatility and GSI on SMEs environmental performance.

Results indicate a statistically significant direct relationship between digital technologies, environmental dynamism and EP. While there is an insignificant direct relationship between DOC and EP. Furthermore, the results reported a significant result between digital technologies, DOC, environmental dynamism and IC. Similarly, IC significantly mediated the relationship between digital technologies, DOC, environmental dynamism and EP. Moreover, results reported that perceived environmental volatility does not moderate the relationship between IC and EP, while GSI significantly moderates between IC and EP.

Policymakers must emphasize advancing digital integration to enhance manufacturing SMEs’ efficiency and environmental effectiveness.

This is the first research that incorporates digital technologies, environmental factors and innovation capacity to measure environmental performance in line of natural resource orchestration theory (natural ROT). All the variables significantly measure environmental performance instead of digital organizational culture. Perceived environmental volatility also does not moderate.