Key Industry Research Articles

Promoting Sustainable Safety Work Environments: Factors Affecting Korean Workers’ Recognition of Their Right to Refuse Dangerous Work

(1) Background: The right to refuse dangerous work (RTRDW) is essential for preventing industrial accidents and protecting worker safety in Korea. However, its use remains limited in practice. This study seeks to identify the factors hindering its activation across industries such as construction, manufacturing, and services, offering a comprehensive analysis beyond previous research. (2) Methods: A survey was conducted across key industries to assess five factors—safety behavior, communication, management commitment, education and training, and education and training—using structural equation modeling (SEM) to evaluate their influence on the exercise of RTRDW. (3) Results: The SEM model showed a good fit (χ2 = 1151.333, p < 0.001, TLI = 0.978, CFI = 0.984, RMSEA = 0.05). The most significant factors influencing RTRDW were safety performance behavior and communication, while ambiguous regulations, poor training, and fear of job loss discouraged its use. (4) Conclusions: To improve RTRDW activation, clearer regulations, enhanced safety education and training, stronger management commitment, and better communication are necessary. Addressing these issues can help workers confidently exercise their right to refuse dangerous work, enhancing overall workplace safety. (5) Benefits: This study provides practical strategies for policymakers and industry leaders to promote safety, empowering workers to use RTRDW effectively and contributing to a safer work environment.

Decision-Making Model for Life Cycle Management of Aircraft Components

This paper presents a novel decision-making framework for the life cycle management of aircraft components, integrating advanced data analytics, artificial intelligence, and predictive maintenance strategies. The proposed model addresses the challenges of balancing safety, reliability, and cost-effectiveness in aircraft maintenance. By using real-time health monitoring systems, failure probability models, and economic analysis, the framework enables more informed and dynamic maintenance strategies. The model incorporates a comprehensive approach that combines reliability assessment, economic analysis, and continuous re-evaluation to optimize maintenance, replacement, and life extension decisions. The optimization method on the base of genetic algorithm (GA) is employed to minimize total life cycle costs while maintaining component reliability within acceptable thresholds. The framework’s effectiveness is demonstrated through case studies on three distinct aircraft components: mechanical, avionics, and engine. These studies showcase the model’s versatility in handling different failure patterns and maintenance requirements. This study introduces a data-driven decision-making framework for optimizing the life cycle management of aircraft components, focusing on reliability, cost-effectiveness, and safety. To achieve optimal maintenance scheduling and resource allocation, a GA is employed, allowing for an effective exploration of complex solution spaces and enabling dynamic decision-making based on real-time data inputs. The GA-based optimization approach minimizes total life cycle costs while maintaining component reliability, with the framework’s effectiveness demonstrated through case studies on key aircraft components. Key findings from the case study demonstrate significant cost reductions through optimization, with mechanical components showing a 10% more reduction in total life cycle costs, avionics components achieving a 14% more cost reduction, and engine components demonstrating a 7% more decrease in total costs. The research also presents an optimized dynamic maintenance schedule that adapts to real-time component health data, extending component lifespans and reducing unexpected failures. The framework effectively addresses key industry challenges such as no fault found events while minimizing unexpected failures and enhancing the overall reliability and safety of aircraft maintenance practices. Sensitivity analysis further demonstrates the model’s robustness, showing stable performance under varying failure rates, maintenance costs, and degradation rates. The study contributes a scalable approach to predictive maintenance, balancing safety, cost, and resource allocation in dynamic operational environments.

PROSPECTS FOR UKRAINIAN PRODUCERS TO ENTER THE EU MARKET OF CABLE AND WIRE PRODUCTS

This article investigates the potential for Ukrainian cable and wire manufacturers to access the European Union market, where a growing demand for energy-efficient and sustainable solutions is driven by the rapid expansion of renewable energy sources and an accelerated pace of digitalization across industries. The research provides an analysis of the European cable and wire market's current state and development trends, identifying the primary drivers of growth, including the expansion of smart grids and renewable energy projects. Emphasis is placed on the competitive landscape, detailing key industry players who lead the sector by meeting stringent EU regulations and embracing innovation to provide advanced cable solutions. The study examines the economic and regulatory barriers Ukrainian manufacturers face to penetrate the EU market, highlighting the rigorous product certification standards required for compliance, such as CE, CPR, RoHS, and REACH certifications. These standards ensure that products meet high requirements for quality, safety, and environmental impact, which are essential for market access but present significant challenges for companies unfamiliar with EU compliance processes. The article illustrates the strategic approaches, adjustments, and resource investments required to establish a foothold in this competitive environment by analyzing a successful case of a Ukrainian company entering the European cable and wire market. Furthermore, the article evaluates the export potential for Ukrainian cable products, noting the unique competitive advantages that Ukrainian manufacturers may leverage, such as cost-effective production and geographical proximity to the EU. The findings emphasize that Ukrainian producers can enhance their competitive position with targeted state support, a focus on meeting EU standards, and engagement in strategic partnerships with European companies. By developing these capabilities, Ukrainian cable manufacturers have the potential to meet the EU market's increasing demand and contribute to sustainable infrastructure projects that align with Europe's environmental goals. Thus, this research highlights the importance of an integrated approach that combines regulatory compliance, strategic partnerships, and innovation as Ukrainian manufacturers aim to capitalize on the growing opportunities within the European Union's dynamic cable and wire sector.

People Have the Right to Be Mad: Wildcat Strikes and Labor Relations in the Post-World War II Auto Industry

Writing on wildcat strikes, which were usually brief and under-reported, has been limited. This is especially the case in the auto industry, where postwar labor relations were supposedly stable and staid, marked by high rates of unionization and collective bargaining. Scholars have stressed the landmark national contracts that the United Auto Workers (UAW) won in the post-World War II era, particularly with the Big Three automakers. Despite these economic gains, rank-and-file workers had many unresolved grievances, especially over non-economic issues such as high workloads, poor safety, and abusive supervisors. This article examines wildcat strikes at two locations; the New Haven Foundry in Michigan (1962 and 1963) and Ford's Chicago Heights Stamping Plant (1963). It argues that these unauthorized walkouts were symptomatic of rank-and file disaffection over non-economic issues, including failure to get safety and workload grievances resolved. The industry suffered hundreds of wildcat strikes in the 1950s and 1960s, especially at Ford, where resistance to union influence continued. In 1951 alone, there were 56 wildcats at Ford alone, involving over 16,000 workers, with further wildcat surges in 1953 and 1958. The article uses worker testimony before the UAW's international executive board to provide unexpected insights into grievances of postwar autoworkers. These records show that despite the gains of the national contracts, many local issues persisted, complicating images of postwar labor relations in a key industry.

Sámi trust in hydropower governance: A survey study

The collaborative water governance literature, especially that concerned with trust, has paid scant attention to Indigenous Peoples. In this paper, we present the results from a survey targeting the Sámi population in Sweden, exploring trust in key state and industry actors in the governance of hydropower. The results demonstrate a widespread signal of low trust, which is correlated with a confluence of factors: a strong concern with negative impacts from hydropower on Sámi culture, experiences of limited opportunities to influence decisions, and a perceived low competence as well as limiting attitude from governance actors. Regarding the role of demographic variables, we report on some notable deviations from previous research about institutional trust. We discuss how collaborative governance initiatives often-times are launched to strengthen trust, but that design and implementation failures can, counter-productively, serve to erode trust among Indigenous constituencies. If Sámi trust is to be strengthened, then it will require state authorities and hydropower companies to genuinely engage with Sámi rights claims and ensure influence in decision-making. Our findings also have direct policy relevance, pointing to the need for a steep learning curve if the pending review of hydropower licenses, launched by the Swedish government, is to play a meaningful role in addressing past and ongoing impacts of hydropower on the Sámi People.

Where there is a thriving, there is a green way: cultivating employee green creativity through green HRM and creative leadership

PurposeThe purpose of the study is to investigate the mechanisms through which green HRM practices foster green creativity among employees. Specifically, it tests a conceptual model linking green HRM practices to green creativity, with employee thriving at work as a mediator and creative leadership as a moderator strengthening the links.Design/methodology/approachThe study collected survey data from 319 employees working in the financial, internet and IT sectors in the developed coastal regions of China. The conceptual model and hypotheses were tested using this sample focused on sustainability-oriented sectors based in regions with imperative ecological needs and priorities.FindingsThe findings indicate that thriving at work (characterized by vitality and learning) mediates between green HRM practices and green creativity. In addition, creative leadership was found to moderate the impact of green HRM on both thriving and green creativity, including the indirect effects through thriving.Originality/valueThe study breaks new ground by being the first to examine the mediation of thriving at work and the moderation of creative leadership in connecting green HRM to green creativity. It develops and tests an integrated theoretical framework that combines insights from self-determination theory and creative leadership theory, situates the research in the timely and relevant context of China’s developed coastal areas and key industries and offers new insights and practical implications for fostering green creativity and aligning organizational strategies with the United Nations Sustainable Development Goals (SDGs).

Robotics and Automation Roadmap: Thailand Perspectives

Robotics and automation are the key industries supporting Thailand’s strategic initiatives toward Thailand 4.0. This paper presents the development of an industry roadmap guiding the future research and development of related technologies in Thailand. The roadmap project was recently conducted during 2021–2022. The strategic targets for the future development of robotics and automation in Thailand were set to increase productivity and reduce adoption cost for the short term (2022–2023); create market opportunities for AI and industrial IoT technologies with data platform for the medium term (2024–2026); and prepare the Industry 5.0 system supporting emerging applications of digital twins and metaverse for the long term (2027–2030).

Dependence and information flow among U.S technology industries

ABSTRACT The technology sector serves as a fundamental pillar for all industry sectors in the economy, playing a central role in driving worldwide economic growth. It particularly distinguishes itself in the U.S., representing approximately one-third of the global technology market. However, the technology sector is not a homogenous group of similarly focused companies, its industries vary significantly in their characteristics. This paper analyzes the relationships among U.S. technology industries defined by the Global Industry Classification Standard using Vine copulas and transfer entropy. It spans 1 January 2010–31 January 2024, to clarify intra-sectoral heterogeneity and identify key industries predicting the performance of others. Our findings highlight the predictive power of the semiconductor industry, with significant information transmission to all other industries. Contrarily, the flow in the opposite direction is significant in only 3 of 5 cases. The identification of semiconductors’ central role is particularly valuable for both retail and institutional investors concentrating on technology stocks, as it may indicate future developments in the entire sector. Moreover, due to the industry’s global importance, shocks in the semiconductor industry could propagate across the entire technology sector, leading to broader economic instability. Therefore, the semiconductor industry should be closely monitored by the policymakers too.

Pharma innovation: how evolutionary economics is shaping the future of pharma R&D

This paper describes the theory of evolutionary economics in the context of pharmaceutical R&D. In this context, the R&D productivity crisis acts as a key selection mechanism, and R&D, technology and industry trends provide mechanisms of variation. Drawing on today’s prevailing business model among leading pharmaceutical companies, the biotech-leveraged pharma company (BIPCO), I propose two new value creation logics: the technology-investigating pharma company (TIPCO) and the asset-integrating pharma company (AIPCO). Although some companies already share aspects of these business models, it is not yet clear, in terms of evolutionary economics, what the ultimate outcome of the evolutionary process in pharma R&D will be.

The Employer Perspective

Apply It! By reading this article, you will: • Gather insight from key industry stakeholders on the latest fitness trends identified in the 2025 Trends report. • Learn how industry stakeholders use the Trends report to inform their strategic planning and decision-making processes. • Understand alignment of 2025 Trends report and real-world trends, through the perspective of industry stakeholders.

Systematic identification and prediction of sex-specific MADS-box genes in Zanthoxylum armatum during flower development

Zanthoxylum armatum, as a vital economic tree species serving both as a food source and medicinal plant, it stands as one of the key industries supporting rural revitalization in southwestern China, offered significant economic, ecological, and social benefits. In recent years, there has been a significant increase in the occurrence of male flowers being sterile, which has greatly impeded the industrial development of Z. armatum. In this study, we investigated the MADS-box gene as a pivotal transcription factor (TFs) influencing flower development. To gain a comprehensive understanding of the evolutionary dynamics of MADS-box genes in Z. armatum and establish a solid foundation for future research on this significant gene family, we conducted a genome-wide investigation and analyzed the expression patterns of MADS-box genes. The present study identified a total of 72 MADS-box genes (ZaMADS1–72) from Z. armatum and proposed that the ZaMADS41 gene is pivotal candidate gene influencing the female-to-male transformation. Phylogenetic analysis revealed that these genes can be categorized into two types: Type I (29 genes) and Type II (43 genes), with the latter exhibiting more complex protein domains and motifs compared to the former. Protein-protein interactions were observed among members of the ZaMADS-box gene family, while their promoter regions contained cis-acting elements associated with light response, hormone response, and plant growth and development. Expression profiling during different stages of male and female flower development demonstrated distinct high expression patterns for certain genes specifically in mature male or female flowers. Furthermore, the determination of endogenous hormone content indicated a potential correlation between iP9G and MEJA with sex transformation, while iP9G exhibited a significantly negative association with ZaMADS33 expression. This comprehensive study on MADS-box genes in Z. armatum combined with changes in endogenous hormone levels during male and female flower development, provides a solid theoretical foundation for investigating bud differentiation mechanisms and regulatory techniques in this species.

The Synergistic Impact of Human-AI Collaboration: A Multi-Domain Analysis

This comprehensive article explores the transformative impact of human-AI collaboration across healthcare, manufacturing, and scientific research. The article examines how the synergistic integration of artificial intelligence with human expertise is revolutionizing key industries, enhancing efficiency, accuracy, and innovation. In healthcare, we discuss the implementation and impact of AI-assisted diagnostics and AI-augmented surgery, highlighting improvements in diagnostic accuracy and surgical outcomes. The manufacturing sector is analyzed through the lens of AI-driven quality control systems and the introduction of collaborative robots (cobots), demonstrating significant gains in productivity and worker safety. In scientific research, we explore AI's role in data-driven research and hypothesis testing, particularly in areas such as drug discovery and genomics. The article also provides a critical analysis of the complementary strengths of humans and AI, addresses ethical considerations in AI implementation, and speculates on the future potential of this collaboration. Drawing on recent research and case studies, this article presents a holistic view of how human-AI synergy is driving progress across multiple domains, while also considering the challenges and ethical implications of this technological integration. The findings suggest that the future of human-AI collaboration holds immense potential for accelerating scientific discovery, improving healthcare outcomes, and revolutionizing manufacturing processes, ultimately benefiting society as a whole.

A review of the progress and developments of green chemistry

The purpose of this review is to present the progress and development of a fundamental field that aims to design chemical processes with as little adverse effect on the environment as possible. The paper discusses the relevance of changes in industries considering the impact of the conventional chemical industry on the environment, people, and resources, with pollution, toxicity, and depletion of the resources being alarming effects. Waste minimization as one of the ten principles of green chemistry, atom economy and safer solvents and auxiliaries, is also described in detail. In the best practice examples drawn from key industries such as Unilever and BASF, a positive approach toward integrating biodegradable materials and renewable resources is evident. Furthermore, new developments in the catalysis and biocatalysts techniques as well as innovative methods of carbon dioxide conversion are also explored to demonstrate that sustainability is a core direction of chemical transformations. Nevertheless, prospects are evident albeit constrained in economic, regulatory, and technical sectors. Overcoming these barriers is crucial to the complete realization of green chemistry in the industry and the scale-back of environmental harm. It is for this reason that the present review offers a final reflection on how both green chemistry and a circular economy can change various sectors and offer more sustainable solutions.

Leveraging big data analytics to combat emerging financial fraud schemes in the USA: A literature review and practical implications

The rise of emerging financial fraud schemes in the USA has presented significant challenges for financial institutions, regulators, and law enforcement agencies. As fraud tactics become increasingly sophisticated, traditional methods of detection and prevention are proving insufficient. This literature review explores the role of big data analytics as a critical tool in combating financial fraud, focusing on its practical applications and effectiveness. By leveraging machine learning, predictive analytics, and artificial intelligence, big data analytics enables real-time monitoring and detection of fraudulent activities, offering a more dynamic and adaptive approach to fraud prevention. The review synthesizes key studies, case reports, and industry practices, highlighting the implementation of big data in analyzing large volumes of transactional and behavioral data to identify suspicious patterns. It further discusses the challenges associated with integrating big data technologies into existing systems, including issues related to data privacy, regulatory compliance, and the high cost of implementation. Additionally, the paper assesses the impact of big data solutions on fraud prevention, comparing their effectiveness to traditional methods and identifying best practices for institutions looking to adopt these technologies. Finally, the review proposes future directions, emphasizing the potential of emerging technologies such as artificial intelligence and blockchain to enhance fraud detection capabilities. It offers recommendations for financial institutions, regulators, and policymakers to collaborate in developing more robust strategies to safeguard the financial system from evolving fraud threats. This paper provides a comprehensive analysis of the current state of big data analytics in combating financial fraud and its practical implications for the financial services industry in the USA.

Sustainable Tourism Development in Vietnam in the Current Period

Sustainable tourism development is currently an inevitable and effective direction for the tourism industry of Vietnam in particular and countries around the world in general. Vietnam has great potential for sustainable tourism development, from geographical location to natural and cultural resources. However, we also encounter many difficulties when developing sustainable tourism. This study points out the theoretical basis for sustainable tourism development; analyzes the current status of tourism development in Vietnam from 2015 to 2023; evaluates sustainable tourism development in Vietnam based on three aspects: Economy-Society-Environment; and examines the opportunities and challenges for sustainable tourism development in Vietnam. From that, several solutions will be proposed to develop sustainable tourism in Vietnam, making the tourism sector a key industry contributing to the ongoing development of Vietnam’s economy and society.

The corporate political activity of Portugal’s food industry: enhancing public health transparency

Abstract Background This study in Portugal aims to monitor the Corporate Political Activity (CPA) in the food industry. Portugal provides a compelling case study due to its robust implementation of public health policies. Methods A systematic qualitative approach proposed by Mialon et al., a part of the INFORMAS Module 3, was employed. This method is based on the analysis of publicly available information. Key industry actors were selected through expert consultation and market analysis using EuroMonitor data. Information sources included industry, government, and academic materials accessed via websites and news. A thematic qualitative analysis was conducted involving iterative steps: identifying CPA practices based on predefined strategies - Taxonomy of Action Strategies: access and influence policymaking, use the law to obstruct policies, manufacture public support, shape evidence, displace and usurp public health, and manage reputations -, recording methods in a database, and saving evidence. Data collection spanned October 2023 to April 2024, covering materials from 2022 to 2023. Results Twenty-five key players were identified, including processed food and non-alcoholic beverage manufacturers, fast food companies, food retailers, and national trade associations. Food retailers, notably Jerónimo Martins, Lidl, Mercadona, and Sonae, showcased a higher prevalence of CPA. Nestlé and Sumol+Compal also emerged as prominent actors. The food industry in Portugal employs diverse strategies and tactics primarily focused on shaping evidence and managing reputations. While instances of displacing public health priorities and manufacturing public support were observed, they were relatively fewer. Only APED and FIPA showed engagement in policymaking influence. Conclusions Vigilant monitoring of CPA in the food industry in Portugal reveals dominant tactics of shaping evidence and managing reputations. Understanding these strategies is vital for policymaking to safeguard public health. Key messages • The food industry in Portugal employs diverse strategies, primarily shaping evidence and managing reputations, to influence public health policies. • Monitoring the Corporate Political Activity is key to preserving the integrity of public health policymaking in Portugal’s food industry.

Intramuscular fat % in the loin of Australian pork demonstrates a stronger relationship with computed tomography lean and fat % than abattoir measures of P2 and lean.

Intramuscular fat (IMF) % is an important measure of pork eating quality, with reduced IMF % linked to the selection of pigs with low backfat P2 thickness and more muscular genotypes over several decades. This experiment tested the association of IMF % from the M. longissimus thoracis et lumborum of 345 pigs at three abattoirs (Sites) with computed tomography (CT) determined carcass composition (% lean or fat), accredited abattoir measures of P2 backfat (mm) (Hennessy Grading Probe, AutoFom III and PorkScan Lite) and the lean % output from abattoir devices (Hennessy Grading Probe, AutoFom III and PorkScan Plus). There was a negative relationship between carcass CT lean % with IMF % at all Sites (P < 0.05), with the strength of this relationship varying between Sites. The strongest relationship was demonstrated at Site 1 (R2 0.30, RMSE 0.59), and across a 4 standard deviation range in the carcass lean % at each Site, resulted in a decrease in loin IMF % of 1.56, 0.44 and 0.80. There was a positive relationship of carcass CT fat % with IMF %, with similar, albeit slightly stronger relationship to IMF than with CT lean %. In contrast, only one of the three Sites with an accredited P2 measurement device demonstrated a significant association (P < 0.05) with IMF %. This is the first time the associations of IMF % with carcass CT composition has been assessed alongside that of P2 backfat measures from commercially deployed abattoir devices. Given P2 backfat is the key industry measure on which carcass value is determined in Australia, this experiment demonstrates the limitations that P2 has in measuring and monitoring the associations of carcass lean and fat % with IMF. Ideally, an independent measure of IMF % would allow for independent selection for lean % and IMF %, however there is currently no commercial device that can measure pork IMF %.

Impact and Prospects of Prepared Meals on the Catering Market

The increasing pace of modern life has catalyzed the rise of the prepared meals industry, reshaping consumer behaviors and market dynamics in the global catering sector. This study examines the impact of prepared meals on the catering market, focusing on consumer behavior, market dynamics, technological innovations, and sustainability issues. The prepared meals industry has seen exponential growth, driven by consumer demands for convenience, health, and environmentally friendly options. Technological advancements in food preservation, distribution, and packaging have played a pivotal role in improving product quality and safety while extending market reach. Financial analyses of key industry players like Tyson Foods, Inc., Nissin Foods Holdings Co., Ltd., and Nestl S.A. reveal varied strategies for capitalizing on this growth, highlighting significant contributions to their overall business performance. The sector faces challenges including environmental sustainability, health and nutritional scrutiny, and intense market competition. Strategic responses to these challenges, such as investing in sustainable practices, focusing on health and nutrition, leveraging new technologies, and enhancing consumer engagement, are essential for future success. This research provides critical insights into the evolution of the prepared meals market, offering a comprehensive overview that could guide stakeholders in navigating this dynamic landscape.

What keeps the market ticking? The role of third‐party audiences and cognitive embeddedness in shaping competitive dynamics in luxury watchmaking

AbstractResearch SummaryCompetitive dynamics between firms and buyers are shaped by mutually understood conceptual systems that enable market interactions. Third‐party audiences, such as the media, play a crucial role in shaping market structure and evolution by facilitating the development of these conceptual systems. Although they do not directly engage in contractual bargaining, third‐party audiences stabilize perceptions and facilitate market interactions by cognitively embedding competitive dynamics. Our study examines the coreness of firms within the semantic network of firm names as relayed by the media. We find that higher coreness positively impacts auction prices. This effect is moderated by firm visibility and the tone of media coverage. Our model is tested using a unique dataset from the luxury watchmaking industry.Managerial SummaryWe demonstrate that a firm's performance is shaped not only by how prominently or positively it is featured in the media, but also by the relational context in which it is mentioned. Firms that are frequently mentioned alongside other key industry players are perceived to be the core of the industry, leading to higher auction prices for their products. The effect is strengthened when a firm enjoys frequent and positive media coverage. For managers, our findings underscore the importance of understanding how and why the media associates their brand with others, as this can enhance its value in secondary markets, and thus potentially boost value capture in primary markets. Our analysis explores the luxury watchmaking industry, a setting that is rarely studied.

An expert system based decision-making framework for benchmarking industry in sustainable manufacturing

PurposeThe purpose of this study is to evaluate and enhance sustainable manufacturing practices across various industries, focusing on environmental, economic and social dimensions, to promote a comprehensive understanding and implementation of sustainability, thereby improving overall industry performance and fostering long-term ecological and economic health.Design/methodology/approachThe study uses multi-criteria decision-making-multivariate analysis technique to examine sustainable manufacturing practices (SMPs) in the Indian manufacturing sector. It identifies 11 SMP criteria through literature review and expert recommendations. Data are collected through questionnaires, expert committees and interviews. The study focuses on four key industries: automobile, steel, textile and plastic. Techniques like principal component analysis (PCA), technique for order preference by similarity to ideal solution (TOPSIS) and complex proportional assessment (COPRAS) are used to rank and assess performance.FindingsThe Indian automobile industry has shown the most effective SMPs compared to steel, textile and plastic sectors. The automobile sector is the benchmark for sustainable measures, emphasizing the importance of green practices for environmental, social and economic performance. Recommendations extend beyond the automobile sector to cement, electronics and construction.Practical implicationsThe research emphasizes the importance of SMPs across various industries, focusing on economic, environmental and social considerations. It advocates for a holistic approach that enhances resource efficiency and minimizes ecological footprint.Originality/valueThe study uses ranking methods like PCA-integrated TOPSIS and COPRAS to evaluate performance in different industries, focusing on the benchmarked automobile sector. The research offers valuable insights and advocates for the widespread adoption of sustainable policies beyond the studied sectors.