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Multinational enterprises (MNEs) are increasingly compelled to consider the United Nation’s sustainable development goals (SDGs). These goals are complex and may cause internal goal conflicts for companies. To stay the course, MNEs will benefit from an ethical compass enabling them to take on leading roles in driving change towards a better future. We argue that ethical leadership in this new business landscape is bolstered by virtue ethics. MNEs with genuine ethical groundings will be equipped to make decisions in complex situations where the needs of a variety of stakeholders must be considered. The purpose of this chapter is to conceptually and empirically explore an MNE’s implementation of a particular SDG, through an ethical leadership lens. We contribute to international management and international business literature by offering a framework to analyse MNEs’ pursuit of SDGs.

As reaching UN Sustainable Development Goals 2030 has become the top agenda of the global companies, they have prioritized sustainability as a response to the grand challenges as well as a potential source of competitive advantage. This chapter poses the question: whether and how can firms achieve a sustainable competitive advantage via sustainability? I critically examine the sustainability-based view of sustainable competitive advantage by arguing that in the changing global landscape we will need to re-think the accepted ideas as regards sustainability goals, sustainable development and the sustainable competitive advantage as the individual firm’s achievement. The chapter contributes to the ongoing debate by discussing the potential of de-growth ideas and principles to solve some of the contradictions and suggesting the questions for future research.

The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.