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To encourage more just open educational practices, the purpose of this paper is to describe Jose Medina’s theory of epistemic justice and develop a framework applying this conception of epistemic justice to OEP through learning design. The authors hope this framework will help researchers and practitioners develop more equitable learning experiences in open educational contexts.

This paper is conceptual and design-oriented. This paper seeks to draw relationships between José Medina’s work in The Epistemology of Resistance, recent empirical studies in learning design and OEP. By analyzing relationships between these works, this paper lays out design principles that can empower educators seeking to create equitable open learning experiences.

This paper finds several generative intersections between the social justice centered epistemology presented by Medina, empirical learning design studies and OEP. This study finds that structured learning designs which integrate well-researched principles may provide guidance for further practice and research in ways not generally discussed in open education literature. This paper builds on these findings by describing practical ways these intersections can be implemented in OEP.

To the best of the authors’ knowledge, this is the first theoretical analysis of the relationship between epistemic justice and OEP.

To ensure the stable operation of ironmaking process and the quality and output of sinter, the multi-objective optimization of sintering machine batching process was carried out.

The purpose of this study is to establish a multi-objective optimization model with iron taste content and batch cost as targets, constrained by field process requirements and sinter quality standards, and to propose an improved balance optimizer algorithm (LILCEO) based on a lens imaging anti-learning mechanism and a population redundancy error correction mechanism. In this method, the lens imaging inverse learning strategy is introduced to initialize the population, improve the population diversity in the early iteration period, avoid falling into local optimal in the late iteration period and improve the population redundancy error correction mechanism to accelerate the convergence rate in the early iteration period.

By selecting nine standard test functions of BT series for simulation experiments, and comparing with NSGA-?, MOEAD, EO, LMOCSO, NMPSO and other mainstream optimization algorithms, the experimental results verify the superior performance of the improved algorithm. The results show that the algorithm can effectively reduce the cost of sintering ingredients while ensuring the iron taste of sinter, which is of great significance for the comprehensive utilization and quality assurance of sinter iron ore resources.

An optimization model with dual objectives of TFe content and raw material cost was developed taking into account the chemical composition and quality indicators required by the blast furnace as well as factors such as raw material inventory and cost constraints. This model was used to adjust and optimize the sintering raw material ratio. Addressing the limitations of existing optimization algorithms for sintering raw materials including low convergence accuracy slow speed limited initial solution production and difficulty in practical application we proposed the LILCEO algorithm. Comparative tests with NSGA-III MOEAD EO LMOCSO and NMPSO algorithms demonstrated the superiority of the proposed algorithm. Practical applications showed that the proposed method effectively overcomes many limitations of the current manual raw material ratio model providing scientific and stable decision-making guidance for sintering production operations.

Various publications have extensively documented the advantages of a circular economy in ensuring sustainability and limiting climate change. Despite academic records emphasising the need to adopt this business strategy, entrepreneurs in developing countries prefer linear economies. This reluctance is attributable to several factors, including insufficient infrastructure and technology, limited financial access, inadequate education systems and the prevalence of informal enterprises. Therefore, a thorough analysis of the underlying economic, political and social conditions is required to identify the drivers of circular economies (CEs) and their contribution to entrepreneurship in developing countries.

In this study, the authors first conducted a comprehensive quantitative literature review based on LangChain to identify the critical CE drivers from the social, technological and organisational perspectives. Based on the input from the expert panel of Iranian academic and industry professionals, the authors applied an integrated fuzzy interpretive structural modelling and cross-impact matrix multiplication approach to classification (Fuzzy-ISM-MICMAC) to investigate the chronology of entrepreneurial drivers.

Level-based model results reveal entrepreneurial drivers in developing nations and their interrelationships, specifically underlining the importance of supply chain factors and stakeholder preferences. Thus, the differences between the perception of the main drivers in developed and developing economies can be identified, with the former paying particular attention to legislative and financial factors. The study's findings contribute to conserving resources, reducing waste and adopting more sustainable corporate practices, thereby assisting developing countries in achieving development goals.

This study employs an innovative quantitative systematic literature review approach that relies on a large language model to identify the drivers of the CE. Furthermore, it adopts a systematic approach to examine the enablers of the CE rather than a narrow and individual perspective of the entrepreneurial drivers. The study employs the fuzzy ISM MICMAC technique to showcase the prioritisation of entrepreneurial prospects in emerging economies.

This paper aims to explore synergies between lean production (LP) and six sigma principles to propose a lean six sigma (LSS) framework for continuous and incremental improvement in the oil and gas sector. The Three-dimensional LSS framework seeks to provide various combinations about the integration between LP principles, DMAIC (define–measure–analyse–improve–control) cycle and plan-do-check-act (PDCA) cycle to support operations management needs.

The research method is composed of two main steps: diagnosis of current problems and proposition of a conceptual framework that qualitatively integrates synergistic aspects of LP and six sigma and analysis of the application of the construct through semi-structured interviews with leaders from oil and gas companies to assess and validate the proposed framework.

As a result, a conceptual framework of LSS is developed contemplating the integration of LP and six sigma and providing a systemic and holistic approach to problem-solving through continuous and incremental improvement in the oil and gas sector.

This research is different from previous studies because it integrates LP principles, DMAIC and PDCA cycles into a unique framework that fulfils a specific need of oil and gas sector. It presents a customized LSS framework that guides wastes and cost reduction while enhancing quality and reducing process variability to elevate efficiency in operations management of this sector. This is an original research that presents new and original scientific findings.

The purpose of this paper is to explore how rising technologies from Industry 4.0 can be integrated with circular economy (CE) practices to establish a business model that reuses and recycles wasted material such as scrap metal or e-waste.

The qualitative research method was deployed in three stages. Stage 1 was a literature review of concepts, successful factors and barriers related to the transition towards a CE along with sustainable supply chain management, smart production systems and additive manufacturing (AM). Stage 2 comprised a conceptual framework to integrate and evaluate the synergistic potential among these concepts. Finally, stage 3 validated the proposed model by collecting rich qualitative data based on semi-structured interviews with managers, researchers and professors of operations management to gather insightful and relevant information.

The outcome of the study is the recommendation of a circular model to reuse scrap electronic devices, integrating web technologies, reverse logistics and AM to support CE practices. Results suggest a positive influence from improving business sustainability by reinserting waste into the supply chain to manufacture products on demand.

The impact of reusing wasted materials to manufacture new products is relevant to minimising resource consumption and negative environmental impacts. Furthermore, it avoids hazardous materials ending up in landfills or in the oceans, seriously threatening life in ecosystems. In addition, reuse of wasted material enables the development of local business networks that generate jobs and improve economic performance.

First, the impact of reusing materials to manufacture new products minimises resource consumption and negative environmental impacts. The circular model also encourages keeping hazardous materials that seriously threaten life in ecosystems out of landfills and oceans. For this study, it was found that most urban waste is plastic and cast iron, leaving room for improvement in increasing recycling of scrap metal and similar materials. Second, the circular business model promotes a culture of reusing and recycling and motivates the development of collection and processing techniques for urban waste through the use of three-dimensional (3D) printing technologies and Industry 4.0. In this way, the involved stakeholders are focused on the technical parts of recycling and can be better dedicated to research, development and innovation because many of the processes will be automated.

The purpose of this study was to explore how Industry 4.0 technologies are integrated with CE practices. This allows for the proposal of a circular business model for recycling waste and delivering new products, significantly reducing resource consumption and optimising natural resources. In a first stage, the circular business model can be used to recycle electronic scrap, with the proposed integration of web technologies, reverse logistics and AM as a technological platform to support the model. These have several environmental, sociotechnical and economic implications for society.

The sociotechnical aspects are directly impacted by the circular smart production system (CSPS) management model, since it creates a new culture of reuse and recycling techniques for urban waste using 3D printing technologies, as well as Industry 4.0 concepts to increase production on demand and automate manufacturing processes. The tendency of the CSPS model is to contribute to deployment CE in the manufacture of new products or parts with AM approaches, generating a new path of supply and demand for society.

The purpose of this article is to discuss the assessment and inclusion of stakeholders' perception, and citizen participation instances to implementing management options to deal with climate threats within the existing institutional framework in Uruguay.

The approach being followed has different directional approaches and integrates them within a single assessment. First, a prescriptive climate change top-down path. Second, stakeholders' perception is assessed within a bottom-up risk-management model. Third, institutional agreements, arrangements, and consensus are reached. Considering the need for agreed and effective options, the approach is customized and turned flexible enough to accept inputs from scientists, managers, and stakeholders.

The co-production of knowledge and the achievement of agreed and feasible options is achieved by means of a consultation process which results in adaptive co-management agreements and collective decisions. This process is seen as both an empowerment of local actors and a multi-stakeholder learning-by-doing experiment. This allows for both an increase in coping capacity to climate threats and facilitates long standing conflict resolution.

Much literature discusses the importance of the role of social power in inclusive processes towards adaptation, and how difficult is ceding a genuine voice to stakeholders. The co-production of knowledge is a way to achieve the rapprochement of scientists with institutional and community actors. Thus, the participatory process gives stakeholders responsibility for identifying their specific needs and priorities and helps to establish community ownership.

This study determines the nexus between spiritual leadership and psychological safety (PS). The authors explore the mediating role of PS and knowledge sharing to offer insights on how spiritual leadership can be advanced to better understand and support intellectual capital.

Data were collected using convenience sampling from the Pakistani automobile manufacturing industry. SPSS statistical software was used for descriptive analysis and hypotheses were tested by using the partial least square-structural equation modeling method.

The results demonstrate that spiritual leadership has a significant positive impact on PS; PS has a positive impact on knowledge sharing (KS) and KS has a positive impact on intellectual capital. Furthermore, PS mediates between spiritual leadership and KS. KS mediates between PS and human, social and organizational capital. Spiritual leadership also affects outside the boundaries of the organization and builds strong social relations with suppliers, buyers, etc.

This study provides a deeper understanding of spiritual leadership in the context of KS and intellectual capital in the automobile sector of Pakistan.

This study encourages managers to nurture a philosophy of altruistic love that exerts a positive influence on employees. It will enrich their experience and promote a culture of KS.

This study has social implications for organizations seeking to situate their inclusive goals in society. The findings of this study can help promote harmony as employees who feel psychologically safe are more willing to spread it in society.

This study theoretically contributes the big picture that how spiritual leadership contributes to intellectual capital and adds to the literature on the topic.

As the tourism industry recovers from the devastating effects of the global pandemic, meeting the targets of the Sustainable Development Goals (SDGs) remains to be a global “deadline” where tourism is seen as a major contributor. While disruptions to business-as-usual practices such as COVID-19 present unprecedented challenges, they can also provide opportunities for strategic innovation to change behavior toward sustainable tourism experiences. Active transport for low-carbon tourism such as walking or cycling tours have risen in popularity in recent years, and especially postpandemic, as they provide opportunities for a more personalized experience while health and safety protocols can still be implemented. They also present health benefits for the individuals while contributing to environmental sustainability and climate mitigation strategies of the tourism industry. This book chapter presents cases of various forms of tourism activities that use active transport, focusing on walking tours and cycling tours. Various companies offering tours under these modes are discussed and presented. These two modes promote authentic cultural and heritage tourism experiences through the local experts that provide the services.