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Organization's sustainability performance is influenced by its suppliers' sustainability performance. This relationship makes sustainable supplier development a strategic competitive option for a buyer or focal organization. When considering sustainable supplier development practices (SSDPs) adoption, organizations have to balance and consider their limited financial resources and operational constraints. It becomes necessary to both select the best SSDPs set and investment allocation among the selected SSDP set such that the organization can maximize overall sustainability performance level. In this paper, an integrated formal modeling methodology using DEMATEL, the NK model, and multi-objective linear programming model is used support this objective. The proposed methodology is evaluated in a practical sustainable supply chain field study of an equipment manufacturing company in China. Through case study, we found that the interdependency among SSDPs must be considered in SSDPs selection and investment allocation problem. Theoretical, managerial and methodology implications, conclusions, and directions for future research are also presented. [ABSTRACT FROM AUTHOR]

The growth of global environmental concerns has prompted a worldwide movement towards sustainable development. In recent years, China's rapid economic growth has been reflected in increased environmental degradation, exacerbated by rapid urbanization, the urban–rural divide, and a government commitment to urban ecological preservation at the expense of rural areas. At the same time, rural communities require increased cultural awareness of environmental conservation and sustainable practices. To address the indiscriminate depletion of natural resources endangering China's rural landscapes, this paper presents a novel framework that combines deep convolutional neural networks (CNNs) with rural ecological governance. A thorough understanding of rural ecological dynamics is made possible by the integration of cutting-edge CNN technology, which facilitates complex data processing and image recognition from satellite and sensor data. Utilizing the Eurostat dataset, it carries out an extensive sustainability analysis of rural ecological governance by applying fundamental theories of environmental governance, such as polycentricity and symbiosis, that are adapted for rural environments. The pastoral environmental governance issues are systematically addressed by means of a multi-stage PPS hierarchical approach. The framework also suggests a novel approach to household waste management for isolated communities, focusing on natural sewage treatment and waste recycling as ways to reduce environmental impact. This all-encompassing strategy seeks to transform rural ecological management by providing customized solutions to protect resources and promote sustainable development in China's rural areas. The experimental results show a fantastic accuracy rate of 98.5% of the CNN model. This compares favorably to recognized architectures such as ResNet16, ResNet32, and ResNet64, demonstrating CNN's ability to handle complex features of rural landscapes. A comparative analysis with RNN and LSTM highlights CNN's capacity to extract hierarchical features and capture spatial dependencies. In addition, the work reveals that rural residents have an overall satisfaction rate of 85.2% with environmental governance, of which 45.6% provide high levels of satisfaction. [ABSTRACT FROM AUTHOR]

In pursuit of global sustainable value creation, the conceptual ambiguity inherent in sustainability poses a challenge for goal-seeking problem-solvers. This paper addresses this challenge by introducing a typology for distinguishing among nine types of sustainability challenges that could be faced in systemic intervention. To navigate the complexity and vagueness inherent in sustainability, the Space of Challenges (SOC) is utilized as a tool for second-order systems thinking, grounded in the fundamentals of critical systems thinking. The paper aims to support system thinkers seeking to organise a systemic intervention for improved sustainability performance of systems. The support is developed to contribute to the alignment of sustainability challenges with suitable systems methodologies in multimethodological systemic interventions. A typology is proposed to differentiate sustainability challenges, and then integrated with the Cynefin sense-making framework to categorise challenges as simple, complicated or complex. The Space of Challenges framework is then applied to a case of sustainable housing in East Africa exploring alternative binders in block-based building, to highlight the differences among the nine types of proposed sustainability challenges. [ABSTRACT FROM AUTHOR]

Higher education institutions play a crucial role in achieving environmental sustainability. According to UI GreenMetric, higher education institutions should, more than ever, implement sustainable development across all subject areas. In this context, the research’s main problem is how architectural education can raise students’ sustainability consciousness more effectively. This paper aims to increase awareness of how incorporating the content of new uses of old buildings into architectural education can significantly influence students’ sustainability consciousness. In addition, this study seeks to determine sustainability consciousness and behaviors differ according to the lessons they take. Reviewing the literature and survey were defined as appropriate for this study. In the questionnaires, it was tried to determine the approach of the students to the concept of sustainability, the effect of the curriculum on this situation, the extent to which sustainable education was integrated into the project courses, and how it was perceived. Descriptive and inferential statistics analyzed the collected data through the Statistical Package for the Social Sciences (SPSS) software. This study will help us better understand the mechanisms behind the development of sustainability behavior by revealing which variables are influential in students’ sustainability behaviors. Despite the rich variety, students’ sustainability consciousness has rarely been investigated within the scope of attitude and practice toward incorporating adaptive reuse of old buildings into architectural education. This paper is among the few works exploring students’ sustainability consciousness using approaches of architectural education. [ABSTRACT FROM AUTHOR]