The switch-off approach is one of the practices that supports sustainable manufacturing systems by reducing energy consumption. Manufacturing systems are characterized by two sources of fluctuations: workload due to customer demand and energy price variability. This work proposes a switch-off policy that addresses these fluctuations in job-shop systems using multi-agent architecture. The proposed approach is tested through simulation models and compared to benchmarks in the literature as well as scenarios without a switch-off policy. The performance indices evaluated include throughput, average time in the system, standard deviation of average time in the system, work in process, average maximum items in queues, total waiting time for machines, and total energy costs under different scenarios. The numerical results highlight that the switch-off policy, when considering energy prices and a combination of direct and indirect workload, achieves significant energy savings with minimal degradation of manufacturing performance. These results are particularly relevant under dynamic working conditions of the manufacturing system.

Amidst rivalry and intricate value networks the relationship between Supply Chain Management (SCM) and Total Quality Management (TQM) has emerged as a fundamental element of contemporary operational strategies and is essential for securing long-term competitive benefits. This bibliometric analysis methodically charts the framework and research directions within this crucial overlap. Drawing on a collection of 371 publications from the Scopus database, this study offers an in-depth summary of the discipline's progression from 1994, to 2025. The study indicates a developed research area that has seen a significant rise in scholarly attention with the number of publications increasing more than threefold since 2017. Major contributions are regionally clustered with the USA, India and China standing out as the leading contributors. A thematic keyword map uncovers the fields framework: 'Total Quality Management' and 'Supply Chain Management' serve as central driving themes propelling the research. These are underpinned by fundamental themes, like 'sustainability'. The analysis also indicates an evolution in terminology, with older concepts like 'just in time' now appearing as declining themes, superseded by more integrated frameworks. This survey serves as a valuable resource for researchers and practitioners by providing a data-driven landscape of the field's foundational pillars, dominant topics, and future research trajectories.

Servant leadership is a leadership approach that focuses fundamentally on service to others. In educational contexts, servant leadership has become an attractive topic for research. The main objective of this research was to analyze the last 11 years of scientific production from the Scopus database on servant leadership in educational settings (2013-2023). 48 publications analyzed using bibliometric indicators were taken as a data source. The analysis includes visualization, bibliographic coupling, co-occurrence, and co-authorship analysis. The results of the study show that collaborative research networks between countries around the world were examined, with the United States emerging as the dominant contributor, followed by Indonesia, India, China, and Peru, with the period 2020 and 2022 being those with the highest scientific production, also validating that K. Dahleez, KF Latif, and F. Marimon were the most influential contributors in scientific production and citations; however, A. Abbas has made a greater contribution to Sustainable Development Goal 4, Quality education. The major legacy has focused on two main thematic areas, the Social Sciences and Business, Management and Accounting. The analysis of the main keywords revealed a deep research interest, highlighting the extension and diversity of the concepts of servant leadership, higher education, education, teachers, knowledge hiding, learning, leadership and life satisfaction. This study highlights the importance of international cooperation in the field of cultural research and the need for countries to develop research capital to address knowledge gaps. These findings reveal research trends for future studies, influential authors, and co-authorships across countries, helping researchers identify gaps and future directions. The findings may facilitate the development and use of servant leadership in educational settings to improve outcomes as a sector.

The escalating demand for items and their consumption has exerted immense pressure on industrial production and supply chain systems, leading to adverse environmental and societal consequences. The rise in pollution rates and ecological disasters resulting from industrial production has prompted numerous scholars and industry specialists to focus on Sustainable Production and Consumption matters within the framework of Sustainable Supply Chain Management (SSCM). The interest in sustainable supply chain management has significantly increased in recent years, spanning both business and academic sectors. This phenomenon is seen in the growing prevalence of papers, conferences, specialized periodicals, and websites exclusively focused on the subject matter. Nevertheless, the importance of sustainable development in developing economies has only just started to be acknowledged. This literature review aims to assess existing research on sustainable supply chain management (SSCM) in developing nations while considering a worldwide perspective. This paper thoroughly examines the rapid expansion of the subject from an evolutionary perspective; aimed at comprehending the progression of sustainability concerns by examining patterns across different industries, and economies, and employing diverse approaches. An extensive thematic analysis was conducted on 56 selected publications published between 2010 and 2023, emphasizing the growth and significance of the knowledge base. The analysis is conducted utilizing a descriptive and content-oriented methodology. Subsequently, the results are presented, demonstrating an increasing interest in Sustainable Supply Chain Management (SSCM). Nevertheless, there is a conspicuous discrepancy in the extent of research carried out on this subject in emerging economies as opposed to industrialized ones. The findings indicate that the context in less developed countries plays a crucial role in carrying out empirical or case study research. Moreover, it is crucial to analyze how the integration of the three dimensions of sustainability impacts the efficiency of the supply chain, especially when considering the perspective of an emerging economy. Hence, the limitations of this investigation are delineated. Ultimately, it is crucial to do further research from multiple angles within the supply chain, encompassing collaboration, sustainable practices, innovation, sourcing, and supplier growth, with a special emphasis on the position and background of rising countries.

In recent years, governments have sought to find sustainable solutions that would have a positive impact economically, environmentally, and socially. Remanufacturing is a promising solution as remanufactured products help sustainability by saving resources, like using less raw materials, cutting emissions from traditional manufacturing, lowering the amount of landfill waste, and offering a cost-effective alternative product. This paper studies the preferences of people in the Kingdom of Saudi Arabia between new and remanufactured products across three categories: electronics, car parts, and furniture. The products were evaluated based on four factors: quality, price, availability, and warranty. This research used the Best-Worst Method and Technique for Order Preference by Similarity to Ideal Solution together for the analysis. For all the product categories, the findings showed that warranty is the most weighted criteria consumers will rely on to select between the new and remanufactured products. However, consumers prefer new products over the remanufactured ones for all the product categories. Supply chain decision-makers are required to optimize the pricing of these products to increase the popularity of these products.

Bali is a world tourist destination that is famous for having various types of interesting maritime tourism, including mangrove areas which are typical of equatorial regions. The purpose of this study is to develop a model that can predict the sustainability of ecotourism in the mangrove area in Bali based on the approach of empowering local potential and empowering the community. Data analysis was carried out using Bayesian Network analysis, where input was based on the results of the FGD. The results show high probability of realizing the sustainability of ecotourism, where the most influential variables are community participation and local product developers or mangrove-based products. In addition, the condition of the mangrove forest also needs attention, considering that the sustainability of mangrove ecotourism is very sensitive to changes in the condition of the mangrove forest. The three main variables have reflected the combination of the three elements of sustainability, namely people-social (community participation), planet-environment (mangrove forest condition), and profit-economic (developing of mangrove-based products). Mangrove ecotourism development in Bali should be focused on increasing community participation and the development of mangrove-based products.

This study fills the research gap on the existence of joint control in management control systems—the object-oriented control framework (MCS-OOC)—by focusing on the interaction between results and action control, especially in companies that employ prospector strategies that were not considered in previous studies. This study aims to investigate the functioning of joint control by introducing a novel construct known as effectuation control, which forms effectuation MCS. Effectuation control is the synergistic, complementary, and simultaneous effects of a special relationship between action control and result controls. This study will contribute to the understanding of the dynamics of MCS or the control tightness of MCS-OOC. The Effectuation MCS model modifies the MCS-OOC model to account for uncertainty factors, thereby leveraging its capabilities to ensure the long-term sustainability of the company. In terms of methodology, this research will employ two initial models and two modified models, one for each of the prospector and non-prospector manufacturing companies. By comparing these four models and investigating several hypotheses using SEM-PLS, the results demonstrate that result control is no more significant toward existing capabilities when effectuation control is included in the model. Effectuation control significantly influences existing capabilities, whereas result control significantly influences new capabilities. In times of uncertainty and unpredictability, prospectors who implement a pay-for-performance system (result control) in conjunction with the implementation of sound policies, rules, procedures, and bureaucracy (action control) can leverage the company's existing capabilities and explore new ones, thereby enhancing its performance both now and in the future. Action control, a component of effectuation control, serves as a buffer against complex and confusing situations arising from high uncertainty, as every employee responds and refers to the same guidance, policies, rules, and procedures. On the other hand, result control serves as a buffer as well as a driving force, leveraging its capabilities to discover new capabilities amidst uncertainty with the aim of achieving breakthroughs, leading the market, and maintaining sustainability. This result is relevant only to prospectors, as they possess the ability to quickly adapt to uncertainty and seize opportunities presented by these changes, a trait that non-prospectors lack.

Manufacturers employ AI for monitoring vehicle mileage, inspecting components, and scheduling maintenance. Past studies underscore the need for auto-related plans to prioritize environmental protection, concentrating on AI-driven environmental solutions promoted by AI for Good. AI enhances brand success by improving investment, technology, and promotional capabilities. This study emphasizes consistency in AI application across the automotive value chain for brand sustainability. A web-based poll surveyed 120 AI users in marketing, HR, sustainability, as well as 180 sustainability specialists and regulators. The primary goal is to assess, via structural model evaluation, how extraneous variables affect the development of AI-powered brand sustainability strategies. The study highlights AI's sustainability benefits in the automotive industry improving transportation safety, forecasting maintenance, and creating eco-friendly vehicles. However, challenges involve over-reliance on AI, predicting human behavior, and addressing sustainability threats. AI development should consider regional differences, prioritizing openness, policy harmony, and consumer agency. These findings aid marketing and HR professionals in devising customer-centric long-term plans.

The aim of this study is to assess and rank Anadolu Sigorta Company's sustainability performance between 2018 and 2022 using the hybrid SWARA-MEREC-COBRA model. The sustainability performance evaluation criteria's importance weights were determined using both subjective and objective methods. The SWARA algorithm was used to determine the weights subjectively based on expert opinion, while the MEREC algorithm was used to determine them objectively. The final importance weights were obtained by combining the results of both methods. When evaluating the sustainability performance of Anadolu Sigorta Company, the most important criterion was total paper consumption, while the criterion with the least impact was the number of female employees. The COBRA ranking algorithm was used to rank the alternatives, and it was determined that the company's best sustainability performance was in 2022, while the worst was in 2018. Different sensitivity analyses were used to test the consistency of the proposed model.

Despite the recognized importance of service quality in supply chain management, there has been limited research examining the interplay between digital leadership, service quality, and supply chain management. This study employs bibliometric analysis techniques to investigate how digital leadership influences service quality within the context of supply chain management. Utilizing VOSviewer v1.6.20, we analyzed 490 publications from the Web of Science database pertinent to this domain. Our findings reveal that advanced technologies, including digital leadership, IoT, AI, and blockchain, play a crucial role in modernizing supply chains, enhancing operational efficiency, and achieving environmental objectives. The study discusses the broader implications for both theoretical frameworks and practical applications in the field.