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This chapter highlights how implementing circular economy principles can help companies working with sustainability to move from a reductionist and waste management approach to marketing competitive circular value propositions that intentionally design out waste (e.g. emissions and pollution) by rethinking, reinventing and redesigning the value chain. Schijvens, a Dutch family-owned corporate fashion textile company, acts as a case for exemplifying successful implementation of circular economy principles as a marketing strategy in a sector that struggles with finding solutions to the ethical challenges of producing and marketing textile fashion. The textile industry has, for many years, been accused of production that is based on environmentally harmful processes and conditions that are not socially fair. Circular economy principles provide a range of suggestions to address the ethical challenges occurring from covering the human needs of having clothes to wear. Yet, implementing circular economy principles is not a panacea. It is not only a question of delivering a technological quick fix but also a question of managing the new processes and human mindset guiding the actions in the value chain. This chapter, therefore, outlines reasons for a different perspective on the traditional linear value chain and related implications managers face when undertaking a journey from sustainability based on a reductionist approach to a closed-loop approach. It is argued that implementing circular economy principles by pro-actively managing the value chain processes based on eco-centric dynamic capabilities can provide even more radical changes than the incremental reductionist approach often associated with being a green sustainable company.

In this article, we explore some of the barriers that prevent learning about grand challenges. By grand challenges, we refer to transformational social and environmental issues and the critical barriers toward addressing them. Despite recent research contributions, initiatives, and calls for action to focus on such concerns, relatively little is known about the different barriers that hinder learning about grand challenges. To explore these issues, we draw from Rayner’s (2012) concept of uncomfortable knowledge, defined as knowledge that is disagreeable to organizations because it may challenge their value base, self-perception, organizing principles, or sources of legitimacy. Focusing on the example of recent programmatic attempts to advance “responsible education” in business schools, we identify three barriers to learning about grand challenges: Cognitive overload, emotional detachment, and organizational obliviousness. We conclude by outlining several implications on how to overcome these barriers, adding to recent academic and policy debates on how to make business school education more attuned to the transformational and social challenges of our time.

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.

The study aims to address the seemingly unexplored scope of action for project managers to conduct work-related crime in the Norwegian construction industry.

Literature review: In-depth interview with 13 senior officials. Document study.

Broad scope of action to contract criminal subcontractors seems to be exploited intentionally and unintentionally.

Limited number of interviewees. The scale of intentional exploitation unknown. Research could be used as basis to further research on incentives and countermeasures.

Need for industry wide effort to improve barriers to avoid crime and contracting criminal subcontractors.

Unexplored field globally and in Norway. Little to no documentation found in previous research.

The concept of circular economy (CE) has been receiving a lot of attention over the past years from academics, practitioners and policymakers. This is particularly the case for small- and medium-sized enterprises (SMEs) who find in CE a way to overcome their resource scarcity. However, little is known about how embracing the CE perspective can contribute to meet the sustainable development goals (SDGs). The present chapter aims at answering this question. Through a single case study, we explore the drivers, managerial practices and collaborations implemented by SMEs to generate economic, social and environmental values.