Improve Sustainability Performance Research Articles

Advancing Middle East Construction Sustainability: A Framework for Addressing Logistics Challenges Through Solutions and Critical Success Factors

The Middle Eastern construction industry significantly contributes to regional economic development but faces persistent sustainability challenges due to logistical inefficiencies. This study aims to address the gap in the existing literature, which often treats logistics challenges, solutions, and critical success factors (CSFs) in isolation without offering a unified framework to integrate these elements. By leveraging structural equation modelling (SEM), this research provides a comprehensive approach to understanding and addressing the interconnections between logistics inefficiencies, proposed solutions, and sustainability outcomes. Using SEM, this study identifies and analyses 23 logistics challenges, 18 solutions, and 8 CSFs, revealing their relationships and collective impact on sustainability in the construction sector. SEM’s robust analytical capabilities enable simultaneous testing of complex interdependencies, offering insights that traditional methodologies cannot achieve. The findings emphasise the critical role of lean methodologies, advanced technologies, and collaboration strategies in overcoming inefficiencies, reducing environmental impact, and optimising resource use. This research fills a crucial gap by developing a cohesive framework that integrates logistics challenges, solutions, and CSFs to advance sustainable practices. The outcomes provide actionable guidance for stakeholders to improve sustainability performance while enhancing competitiveness in Middle Eastern construction logistics

Sustainability management control system and sustainability performances in Indonesia

This study aims to determine the effect of the Sustainability Management Control System (SMCS) on improving Sustainable Performance (SP) or corporate sustainability performance. The study utilizes the data from 412 non-financial companies listed on the Indonesia Stock Exchange, covering the period from 2017-2021. Hypothesis testing was carried out with a least squares regression model strengthened by robustness tests. To support the results, a number of other studies were carried out, including panel data, sensitivity testing, and the coarsened exact matching approach. The results showed a positive correlation between SMCS and improving sustainability performance. This means that the better the implementation of SMCS in a company, the more its sustainability performance will improve. This indicates the important role of SMCS in supporting the improvement of corporate sustainability performance. The practical implication of this research is to provide insight for executives, policymakers, and stakeholders to encourage the implementation of SMCS to achieve the success of sustainable development. In terms of theoretical contribution, this research elucidates the relationship between SMCS and sustainability performance, highlighting that SMCS is a development of the Management Control Systems (MCS) concept, incorporating new metrics. Overall, this research is useful for understanding the effectiveness of SMCS in improving corporate sustainability performance.

Intellectual Capital and Business Performance Management - Knowledge Management and the Value of Knowledge

Research background: In a global environment characterized by increasing competition, entities from various industrial sectors and geographical areas face a tremendous challenge to achieve sustainable performance improvement. We highlight the importance and relevance of addressing this issue in relation to gaining a competitive advantage and achieving enterprise success. Particularly significant is its connection with the key performance indicators of an organization. In the literature review and overview of expert knowledge, we present the opinions of selected authors and their areas of research in relation to the issue at hand. Purpose of the article: The research aim was to explore the use of performance evaluation systems through key indicators from the perspective of intellectual capital. Methods: Based on the research questions and formulated hypotheses related to performance specifically, qualifications, education, self-development, and employee recruitment - we highlighted the interdependence of these phenomena and their mutual connection to employee satisfaction and engagement. For qualifications, a linear model resulted in a determination coefficient of 0.093. indicating a 9.3% degree of variability in relation to employee recruitment. For education, it was 2.7% in relation to satisfaction, and for engagement, it was as low as 1.64%. Findings & Value added: Based on the research findings and hypothesis testing, we can conclude that in industrial enterprises within the service sector, sufficient attention is not yet paid to working with intellectual capital, and the hypotheses related to this area of research were not confirmed. There is recommended intensifying work with intellectual capital and building learning and growth processes on enhancing these potentials in line with modern trends. This requires further scientific research in this area and close collaboration with practice.

Evaluating corporate sustainability and ethical practices in logistics: A case study of Kerry Logistics Network Limited

This study evaluates the sustainability and ethical practices of Kerry Logistics Network Limited (KLN), a prominent logistics service provider headquartered in Hong Kong. Using normative ethical theories, stakeholder analysis, and the Circle of Sustainability framework, this research examines KLN’s alignment with global sustainability standards, particularly the United Nations Sustainable Development Goals (SDGs). The findings reveal that KLN has achieved significant milestones in environmental management, such as reducing greenhouse gas emissions by 11% from 2021 to 2022 through the deployment of electric trucks and incorporating renewable energy in warehouse operations. KLN has also enhanced social responsibility and governance practices by implementing fair labor policies and establishing a rigorous code of conduct, ensuring compliance with ethical guidelines across its supply chain. However, the study identifies areas for improvement, including biodiversity actions, battery recycling processes, and transparency in stakeholder engagement. Emphasizing the importance of third-party validation, this paper underscores KLN’s leadership in the logistics industry and provides insights for other companies aiming to improve sustainability performance through comprehensive, verifiable practices.

Environmental, social and governance disclosure and firm value in the energy sector: The moderating role of profitability

Environmental, social, and governance (ESG) performance is critical in mitigating climate change. Energy companies must include ESG practices in their business plans because they can determine firm value. This study investigates the impact of ESG and firm size on firm value in Indonesian energy sector, which is moderated by profitability through return on assets. This study uses a sample of 19 energy companies listed on the Indonesia Stock Exchange from 2016 to 2022. A panel data regression model is applied to estimate the impact of ESG practices and firm size on firm value with the moderating role of return on assets. The study results found that ecological, social, and governance disclosure in the model with return on assets as a moderator independently positively impacts firm value but not vice versa. The interaction between return on assets and ESG practices has no impact on firm value, which means that the role of return on assets as a moderator cannot strengthen the influence of ESG and firm size on firm value. Return on assets positively impacts firm value if it acts as an independent variable without a moderator. Firm size independently has a negative impact on firm value but has no effect if it interacts with return on assets. The implications of the empirical findings provide recommendations for policymakers, corporate management, investors, and academics. Environmental, social, and governance disclosure practices are essential to pay attention to as they can improve sustainability performance and firm value in the energy sector of Indonesia. AcknowledgmentAcknowledgments are expressed to the Directorate General of Higher Education, Research, and Technology, Ministry of Education, Culture, Research and Technology for the Funding Assistance for the Master’s Thesis Research Grant Scheme [Contract Number: 01-1-4/675/SPK/VII/2024].

The effectiveness of using artificial intelligence in improving academic skills of school-aged students with mild intellectual disabilities in Saudi Arabia

What This Study AddsTeaching academic skills to students with intellectual disabilities can be a challenge for educators. This study explored the role of AI in the field of special education and provided a novel framework for educational integration of children with mild ID. Interestingly, it demonstrated that using AI-driven interventions could significantly improve academic skills and lead to better learning outcomes. This is crucial, as the holistic approach associated with the "whole child" model of education is prevalent due to the challenges students with ID face in social interactions typically involved in academic socialization. BackgroundIntellectual disabilities (ID) are neurodevelopmental disorders that hinder learning, communication, and daily functioning. It negatively impacts learning of academic skills such as match and reading skills. Artificial intelligence (AI) may offer opportunities for these students to improve their academic performance. AimsTo investigate the effectiveness of using AI in improving academic skills in a sample of seventy boys aged 9–12 with mild ID. They were enrolled into special education programs integrated into public schools in the Jeddah region of Saudi Arabia. MethodsParticipants were randomly assigned to an experimental and control group. The experimental group received ten 60-minute sessions twice weekly during five weeks, utilizing AI to personalize their academic skills activities. The control group received the educational program without the AI. All participants completed the Woodcock-Johnson IV-achievement test at pre-intervention, post-intervention, and one-month follow-up. ResultsThe experimental group demonstrated significant and sustained improvements in academic performance across all measured domains compared to the control group, with effect sizes ranging from moderate (η² = 0.685) to large (η² = 0.921), underscoring the efficacy of the intervention at post-intervention. Conclusions and ImplicationsThis study sheds light on the promise of applying AI tools in special education to respond to distinctive needs experienced by students with mild ID. Future studies should investigate the long-term effects of such interventions and their broader applications across diverse educational contexts for inclusive learning.

Suggestions for Integrated BSC-DEA Implementation in the Industry 4.0 Company

Purpose: The implementation of the integrated BSC-DEA model in an Industry 4.0 company involves leveraging advanced technologies to enhance its performance measurement. This approach enables real-time monitoring of KPIs, optimising operational efficiency while ensuring continuous improvement in a rapidly evolving digital environment. By integrating BSC-DEA with Industry 4.0 principles, companies can achieve a more agile and data-driven decision-making process, securing a sustainable competitive advantage. Methodology/Approach: The integration uses BSC to identify KPIs, which are then applied in the DEA model. This allows an Industry 4.0 company to benchmark performance and optimise resource use through targeted improvements. Findings: This research overview presents a structured approach to understanding the proposal for applying the integrated BSC-DEA model in an Industry 4.0 company. Continuous feedback, data validation, and periodic reviews ensure that the model facilitates sustainable performance improvement. Research Limitation/implication: The proposed implementation process requires a substantial commitment of time and resources, along with support from all levels of the Industry 4.0 company. Originality/Value of paper: The research presented in this paper introduces novel concepts, methodologies, and findings that advance the current state of knowledge. The originality of this work is demonstrated through innovative approaches to existing problems, as well as the analysis and synthesis of diverse ideas to develop new theoretical processes, models, and practical implications.

Does green HR management attention foster sustainability? A quantile-based analysis

This study investigates the role of Green Human Resource Management (HRM) attention in fostering corporate sustainability. By using a quantile regression (QR) model, I explore Green HRM both as an aggregate measure and across three levels such as operational, managerial, and strategic to provide nuanced insights into how these practices influence sustainability under varying market conditions. The findings reveal that Green HRM attention enhances sustainability at higher quantiles (0.75 to 0.95), underscoring its effectiveness during bullish market phases. Notably, operational-level Green HRM has a significant impact at lower quantiles (0.2), reflecting its relevance during unfavorable market conditions. Managerial-level practices drive sustainability at the 0.95 quantile, while strategic-level efforts show no statistically significant impact across quantiles. These results highlight the importance of tailoring Green HRM strategies to specific market contexts. This study contributes to the literature by offering a quantile-based perspective on Green HRM practices and demonstrating how targeted HR efforts can improve sustainability performance under different market dynamics. Practical implications include the need for adaptive Green HRM strategies and resource allocation to align with shifting market conditions for long-term corporate sustainability.

Application of the Process Mapping for Identification of Waste for Sustainable Performance Improvement in the Service Processes

This paper examines the pivotal role of high-quality aftersales service in maintaining global automotive industry competitiveness and sustainability. It presents the methodology for utilizing lean principles in sustainable performance improvement by identifying and eliminating waste in aftersales processes. The approach is exemplified through a case study in road freight vehicle service and maintenance using process mapping. The methodology involves developing a comprehensive process map, analyzing current inefficiencies, and proposing improvement measures. The methodology enhances operational efficiency and contributes to sustainable performance in terms of economic, environmental, and social factors. The methodology is generalized and outlines successful improvement phases and sub-steps.

The Mediating Impact of Organizational Innovation on the Relationship Between Fintech Innovations and Sustainability Performance

The paper explores the impact of digital payment systems, blockchain technology, and AI/machine learning on innovation and sustainability in financial organizations. As part of the analysis, the study has adopted an explanatory research design and has used SmartPLS in order to analyze the data collected from 230 professionals of different fields through a structured questionnaire. The results show positive effects of digital payment systems and blockchain technology on organizations’ innovations with the impact of digital payments being the most pronounced. Empirical results suggest that these technologies are important to improve sustainability performance, depending on measures of internal consistency and discriminant validity among the proposed constructs. Al, also machine learning, has the highest relevance with environmental sustainability, thereby underlining the importance and work of such measures. Based on the Resource-Based View (RBV) theory, the study also explains the need for the organization to assimilate these innovations to enhance the organizational operations, customer satisfaction, and compliance with the laws. The study highlights fintech’s potential to address environmental issues and enhance societal goals, but geographical limitations may obstruct its transportability.

Analyzing Lean Six Sigma Practices In Engineering Project Management: A Comparative Analysis

Engineering project management has an emerging critical methodology called Lean Six Sigma that attempts to significantly improve the operational excellence of engineering projects. It provides a critical, structured approach toward leveraging the principles of waste reduction in Lean with data-driven problem-solving skills in Six Sigma. The present study reviews the practical application of LSS practices for the purpose of improving the outcomes of engineering project management in the context of defect reduction, process optimization, and operational efficiency. This paper examines the methods of Lean Six Sigma (LSS) interventions in engineering project management, with reference to defect management, resource utilization, and the efficiency of the production line. Focusing on results-oriented applications of LSS concepts, the paper uses various datasets, including manufacturing flaws, upkeep schedules, and quality assurance indices, to assess the effectiveness of their application in project settings. More particularly, this paper explores the ways through which Lean Six Sigma, with emphasis on the DMAIC framework (Define, Measure, Analyze, Improve, Control), can improve project effectiveness by reducing defects and optimizing resource consumption. Examining the data on production and the frequency of defects the paper reveals how LSS methods help in analyzing the inefficiencies in the systems, improving the production processes and resulting in the cost cutting exercise. To reap the benefits of LSS, you get process improvements that help to ensure there is a cut on wastage and defects leading to increased customer satisfaction and better project outcome. The results reaffirm the significance of PA within LSS and recommend implementing it in project management frameworks to approach possible defects and operational issues. The study demonstrates how Lean Six Sigma methodologies can be a roadmap for CI, thus proving how the methodologies could be of importance to engineers in achieving improvement across their projects. LSS can impact the quality of engineering projects through improvement of defect rates while at the same time the operational cost is reduced and efficiency of project timelines is enhanced hence leading to improved quality and efficiency in terms of financial performance. This study offers important findings that can help engineering managers understand how the use of big data analytics resources can bring considerable improvements to the organization’s performance, productivity, and overall performance comparative to rivals. Comparing the findings, LSS is identified as an essential enabler of cultural change and providing value through better project outcomes and sustainable performance improvement.

Impact of Corporate Governance on Firms’ Sustainability Performance: Case Study of BIST 50 Index Companies

Purpose: the purpose of this study is to investigate whether corporate governance mechanisms and attributes influence the sustainability performance of companies included in the BIST 50 Index. Results and contributions: Regression analysis showed that there was a significant positive influence of board tenure on sustainability performance and all its types; board size on environmental performance; and a dummy variable for board evaluation externally facilitated and company size on sustainability, environmental, and social performance. A significant negative impact of director attendance at board meetings on social performance was also revealed. This study contributes to the literature on the role of corporate governance in achieving the SDGs for BIST 50 Index companies, highlighting the significant impact of its individual indicators on the achievement of sustainability performance. Methodology: The authors reviewed 45 sustainability reports of BIST 50 Index companies for 2023. Four indices—Sustainability Performance, Environmental Performance, Social Performance, and Corporate Governance Performance Indexes—were developed to characterize sustainability performance and its types based on a content analysis of sustainability disclosures. To analyze the influence of mechanisms and characteristics of the corporate governance system on sustainability performance, eight independent variables were used: board size, number of board meetings, director attendance at board meetings, board independence, board tenure, a dummy variable for board evaluation externally facilitated, a dummy variable for internal auditors present, and a dummy variable for CEO and Chair functions combined. Two control variables, company size and leverage, were used as well. Gap: Today, the scientific literature has no universal approach and understanding of how the corporate governance system should be developed to improve sustainability performance or its individual components. Relevance: Development of a corporate governance system is one of the ways to increase the level of sustainability performance of companies. Impact: The results of the study made it possible to produce several recommendations (expand the number of board members, develop an effective procedure for regular changes of general directors in company boards, introduce independent external control tools in the corporate governance systems of companies) that will lead to the achievement of SDGs 5, 8, 16.

Barriers and enablers of life cycle assessment in small and medium enterprises: a systematic review

AbstractBusinesses are facing increasing pressure from multiple stakeholders to integrate sustainability into their practices and business models. Although Small and Medium-sized Enterprises (SMEs) represent at least 90% of businesses worldwide and contribute approximately 60% of environmental impacts, assessing and improving their sustainability performance is not a priority for them. SMEs can address sustainability issues through the application of the different Life Cycle Assessment (LCA) approaches. LCA focuses solely on the environment; however, other forms, such as social, costing, sustainability, and organizational LCA, enable practitioners to assess impacts across the entire life cycle of the studied system, each with different scopes and approaches. However, LCA remains in the domain of large companies. This article aims to identify the main barriers and enablers of LCA in SMEs for wider use as a tool to improve sustainability performance. Through a systematic review of the scientific literature on LCA among SMEs applying the Standardized Technique for Assessing and Reporting Reviews of LCA data, a sample of 61 articles provides a 20-year history. Our results characterize the application of LCA in SMEs through six main aspects. Our main conclusions identify three main barriers to the application of LCA among SMEs: lack of trained personnel, lack of data, and high costs. To overcome these barriers, we found that narrowing down the scope using simplified methods in clusters can increase the use of LCA among SMEs. A simplified SME cluster-elaborated LCA can be used to qualitatively identify sustainability hotspots, develop suitable strategies to improve sustainability performance, and respond to market requests.

Enhancing wineries’ sustainability through territorial certifications: a case study in Emilia-Romagna, Italy

Purpose As sustainability concerns become increasingly influential in shaping wineries’ strategies at the production and processing stages, this study aims to investigate the anticipated benefits, incentives and constraints associated with a territorial sustainability certification in the wine industry. Design/methodology/approach Focusing on wine producers from the Romagna Consortium (Italy), the research explores the influence of firm characteristics on sustainability attitudes and explores the Consortium potential role in facilitating the ecological transition. Data are collected through an online survey and analyzed by means of factor and cluster analysis. Findings Findings reveal the Consortium capacity to expand its scope, incorporating elements of sustainability, resilience and territorial development. In addition, it emerges that the perception of sustainability among local producers extends beyond environmental concerns, encompassing the economic and social domains. Practical implications Acting as a cluster constituent, the Consortium can stimulate collaborative behavior and promote knowledge dissemination contributing to a mature collaborative environment. A territorial sustainability certification is thus viewed as multifunctional tool, enhancing economic performance and collective reputation, while addressing the numerous environmental challenges faced by the sector. Originality/value The study’s originality lies in its direct engagement with a considerable number of producers in a geographic area boasting a mature wine industry but with limited research focusing on coordinated efforts for improved sustainability performance.

Sustainability performance assessment of sago industry supply chain using a multi-criteria adaptive fuzzy inference model

Background Sustainable supply chains are more competitive than conventional supply chains. Supply chain sustainability performance needs to be carried out to determine sustainability under current conditions and to design appropriate strategies to increase sustainability. This study aims to design a sustainability performance assessment model for the sago agro-industry supply chain and identify critical indicators for sustainability improvement. Methods The Fuzzy Inference System (FIS) evaluates sustainability on three levels: economic, social, and environmental. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is then used to aggregate the overall sustainability performance. The cosine amplitude method (CAM) was used to analyze key indicators. This study assessed the sustainability performance on industrial- and small-medium-scale sago agro-industry. Results The results show that the supply chain sustainability performance on the industrial scale is 44.25, while it is 48.81 for the small-medium scale with the same status, almost sustainable. Key indicators for improving sago agro-industry supply chain sustainability performance include profit distribution among supply chain actors, institutional support for supply chains, waste utilization (reuse & recycle), and the availability of waste management facilities. The implication of this research for managers regards assessing the current status of sustainability performance and key indicators as a reference for formulating sustainability strategies and practices. Implication The sago agro-industry sustainability performance evaluation methodology uses industry-relevant metrics to assess supply chain sustainability, promoting collaboration among stakeholders and assisting in the creation of sustainable strategies. Conclusions The results of the study will enable supply chain actors to understand the key indicators for improving sustainability performance in the sago agro-industry supply chain, especially in Meranti Islands Regency, Riau Province. The proposed model can be applied to other agro-industries by adjusting the indicators used and assessing data availability and suitability for the research object.

Factors Affecting the e-Learning Implementation in UAE Public Sector Organizations

There is an increasing recognition among organizations that investment in learning and development interventions is necessary for a sustained improvement in organizational performance and excellence. E-Learning is becoming a popular delivery method across public sector organizations in the United Arab Emirates (UAE). Organizations often consider developing the skills and knowledge of their employees by using advanced technologies and approaches. The present study aims to examine factors affecting E-Learning implementation among public sector organizations in the UAE. The review shows that the use of E-Learning has spread among organizations faster than any other method, particularly within the public sector organizations of the UAE. Therefore, this research aims to shed light on the current status of E-Learning implementation in the public sector organizations in the UAE. Moreover, the study explores different E-Learning technologies and approaches that are used in organizations. It also addresses the advantages and disadvantages of using E-Learning. In addition, it examines the barriers and challenges of using E-Learning methods in organizations and offers several recommendations to develop strategies and to improve policy and practice of E-Learning.

Implementation of Maslow's Motivation Theory through a Hierarchy of Needs Approach to Improve Teacher Performance in Cirebon City Elementary Schools

The research investigates the application of Maslow's Hierarchy of Needs to improve teacher performance at elementary schools. The study aims to evaluate how fulfilling physiological, safety, social, esteem, and self-actualization needs influences teacher motivation and performance. Using a quantitative descriptive approach, a survey was conducted among 99 elementary school teachers. Data analysis included correlation and regression methods to determine the relationship between the fulfillment of these needs and teacher performance. The results showed that physiological and safety needs had the most significant impact, contributing to a higher level of job performance. Teachers with their basic needs met were more focused on their professional responsibilities. Social and esteem needs also positively influenced performance, though to a lesser degree, indicating areas for improvement in workplace recognition and social dynamics. The findings suggest that enhancing basic and psychological needs is essential for sustained teacher performance improvement. The study contributes by highlighting practical applications of Maslow's theory in educational settings, though its focus on a single city may limit the generalizability of the results. Future research should expand to other regions for a broader understanding.

Industry 4.0‐driven business model innovation for supply chain sustainability: An exploratory case study

AbstractIn the rapidly evolving landscape of the automotive industry, firms are increasingly turning to advanced Industry 4.0 (I4.0) technologies to drive innovation and sustainability. While I4.0 technologies hold immense potential for Business Model Innovation (BMI) and supply chain (SC) sustainability, a gap exists in understanding how firms can leverage BMI and SCS effectively. This study addresses this gap and explores the impact of implementing I4.0 on BMI and its effects on SC sustainability. Utilizing an exploratory case study approach, the research investigates an Indian automobile SC and highlights how I4.0 technologies such as IoT, cloud computing, additive manufacturing, analytics, and automation contribute to BMI, enhancing operational efficiency and SC sustainability. Additionally, the study emphasizes the importance of fostering collaboration among SC entities and the need for support from large‐scale manufacturers for the initial adoption of I4.0 technologies at the small‐scale supplier level. Based on these findings, the study develops the ‘I4.0‐enabled BMI for SC Sustainability’ framework, providing a structured approach for integrating I4.0 and BMI to enhance SC sustainability. This research investigates and applies Dynamic Capability (DC) theory to examine I4.0 transformations and contributes to DC theory by demonstrating how I4.0 facilitates BMI across the value chain, leading to improved sustainability performance.

The Interaction of Sustainability Governance Structure and Sustainability Management Control Systems: An Italian Case Study

This study aims to analyze sustainability governance mechanisms and understand which roles and responsibilities fall under a governance system, as well as the pro-cesses of integrating sustainability into management control systems. Qualitative research focused on the case study analysis of SIT. Interviews were conducted with key figures within the firm regarding roles and responsibilities in sustainability issues to address the peculiarities related to sustainability governance design and implementation and to delve into the role of sustainability management control systems. Several documents were also analyzed: sustainability reports, sustainabil-ity plans, corporate monographs, and questionnaires related to participation in sustainability ratings and awards. Based on a review of the literature on corporate governance and the integration of corporate sustainability into it, including the analysis of previous studies on sus-tainability management control systems, this study found that good sustainability governance and a coherent sustainability management control system play a key role. They provide support in decision-making, enable the implementation of stra-tegic objectives consistent with sustainability targets, identify actions and best practices for effective improvement in sustainability performance, and enable the firm to pursue sustainable success. From a practical point of view, this case study represents a good example of how sustainability can permeate all business pro-cesses, thus providing opportunities for growth and continuous improvement.

Enhancing sustainable mineral extraction through corporate social responsibility and green innovation

The objective of this study is to investigate the role of green innovation and corporate social responsibility (CSR) in improving the sustainability performance of mineral extraction firms. The rationale behind exploring said perspective is the extensive use of water, materials, and energy in mineral extraction, which necessitates developing new pathways to condense the use of natural resources. In this study, we used a well-structured questionnaire method to collect primary data from employees working in the mineral extraction sector. We performed exploratory factor analysis (EFA) in SPSS after screening the initial data and then proceeded to confirmatory factor analysis (CFA) using AMOS. After verifying the structural arrangements of constructs and ensuring the data meets reliability and validity requirements, we created a structural model in AMOS to test our hypothesis. We performed the mediation analysis using bootstrap methodology, 5000 resamples, and a 95% confidence interval. The results demonstrate that corporate social responsibility to society and the environment does not have a direct impact on sustainability performance. However, corporate social responsibility toward employees and green innovation strengthens the sustainability performance of mineral extraction firms. Additionally, we found that green innovation mediates the relationship between corporate social responsibility and sustainability performance. The study concludes that the role of green innovation in the mineral extraction sector is crucial to promoting sustainability performance via CSR activities. The conclusion of this study portrays promising implications for managerial decision-making and policy development regarding the mineral extraction sector. We suggest that firms seeking to improve sustainability performance through corporate social responsibility must adopt green innovation practices, which serve as a bridge between corporate social responsibility and sustainability performance. Without doing so, the results of corporate social responsibility efforts might not be successful.