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This paper aims to identify key sectors in carbon footprint responsibility, an introduced concept depicting CO₂ responsibilities allocated through the supply chain containing sectoral activities and interactions. In detail, various key sectors could be identified according to comparative advantages in trade, sectoral linkage and sectoral synergy within the supply chain.

A semi-closed input–output model is used to make the household income–expenditure relationship endogenous through the supply chain where sectoral CO₂ emissions are calculated, and the production-based responsibility (PR) principle is evaluated. Thus, according to “carbon footprint responsibility”, modified hypothetical extraction method is applied to decompose sectoral CO₂ in terms of comparative advantages in trade, sectoral linkage and synergy. Finally, key sectors are identified via sectoral shares and associated decompositions in carbon footprint responsibility.

Compared to 2005, in 2012, the PR principle failed to track sectoral CO₂ flow, and embodied CO₂ in import and interprovincial export increased, with manufacturing contributing the most; manufacturing should take more carbon responsibilities in the internal linkage, and tertiary sectors in the net forward and backward linkage, with sectors enjoying low carbonization in the mixed linkage; inward net CO₂ flows of manufacturing and service sectors were more complicated than their outward ones in terms of involved sectors and economic drivers; and residential effects on CO₂ emissions of traditional sectors increased, urban effects remained larger than rural ones and manufacturing and tertiary sectors received the largest residential effects.

The value of this paper is as follows: the household income–expenditure relationship got endogenous in intermediate supply and demand, corresponding to the rapid urbanization in megacities; key sectors were observed to change flexibly according to real sectoral activities and interaction; and the evaluation of the PR principle was completed ahead of using a certain CO₂ accounting principle at the city level.

The clean development mechanism (CDM) project is a cost-effective instrument to reduce greenhouse gas (GHG) emissions and to transfer technology and capital from industrialized to developing countries. HRM practices are important sustainable development co-benefits of CDM projects and Brazil is the third largest CDM project developer in the world. The purpose of this paper is to analyze the HRM practices declared by Brazilian CDM projects and how these practices have been, in fact, implemented by the proponents of these projects.

A mixed methodology was developed, based especially on qualitative and quantitative methods, in the Brazilian context.

The authors found that CDM activities are improving recruitment, human resource participation and training practices in Brazilian companies, influencing the integration of environmental management into HRM practices – green HRM. In addition, the study presents hints of interesting avenues to explore in further studies. For example, why is it that some organizations are able to change the routines associated with organizational learning and/or culture while others are not.

The overall results suggested that there is further potential within GHG emissions reduction projects to improve green HRM.

This contribution responds to the call of various researchers for a shift in Responsible Management Education (RME) to adopt a more human-centered and less organizational-centered approach. Service learning (SL) is introduced as a possibility to offer didactical opportunities for participants to connect real-world experiences to system thinking in various ways. We suggest an approach called a “Prism of Reflections” to pique participants' hermeneutical, technical, and emancipatory interests so they can delve deeply into local social and environmental issues and be able to connect them to broader global issues as encapsulated in the Sustainable Development Goals (SDGs). We exemplify our method by demonstrating how students reflect on their experiences working at food banks, and how they relate to concerns of sustainability, poverty, and access to food. Our research suggests that this approach offers a way to situate organizational thinking and instrumental reasoning in a larger framework that considers the aims of hermeneutics, technical and emancipatory discourses. Our findings demonstrate that there are conflicts and dissonances when connecting intersubjective real-world perceptions to emancipatory interests and technical knowledge, particularly when it comes to challenges in the realm of food.

This paper aims to explore the optimization process involved in the aircraft maintenance allocation and packing problem. The aircraft industry misses a part of the optimization potential while developing maintenance plans. This research provides the modeling foundation for the missing part considering the failure behavior of components, costs involved with all maintenance tasks and opportunity costs.

The study models the cost-effectiveness of support against the availability to come up with an optimization problem. The mathematical problem was solved with an exact algorithm. Experiments were performed with real field and synthetically generated data, to validate the correctness of the model and its potential to provide more accurate and better engineered maintenance plans.

The solution procedure provided excellent results by enhancing the overall arrangement of the tasks, resulting in higher availability rates and a substantial decrease in total maintenance costs. In terms of situational awareness, it provides the user with the flexibility to better manage resource constraints while still achieving optimal results.

This is an innovative research providing a state-of-the-art mathematical model and an algorithm for efficiently solving a task allocation and packing problem by incorporating components’ due flight time, failure probability, task relationships, smart allocation of common preparation tasks, operational profile and resource limitations.