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This chapter analyzes the efficiency levels of a circular economy (CE) with an emphasis on transaction costs. It examines the governance aspect of CE activities in comparison to the predominant linear value creation. Extant CE research in business studies tends to be descriptive and lacks a theoretical foundation, particularly in understanding CE management. Transaction cost theory explains efficiency in economic organizing, lending itself to the study of arrangements that maximize resource efficiency at continued economic virtue. The conceptualization proposes that CE transaction costs are greater than those within the linear economy (LE), primarily due to the uncertainties about reciprocal dependencies, looping material complexities, exchanging novel information, and increased contracting efforts. Geographically bounded and institutionally homogeneous CE initiatives may curb these rising costs. By bringing efficiency concerns into CE analysis, the chapter demonstrates the applicability of transaction cost theory and highlights CE relevance to international business by pointing out spatial choice implications.

This chapter of the book aims to introduce multiobjective linear programming (MLP) as an optimum tool to find the best quality engineering techniques (QET) in the main domains of supply chain management (SCM). The importance of finding the best quality techniques in SCM elements in the shortest possible time and at the least cost allows all organizations to increase the power of experts’ analysis in supply chain network (SCN) data under cost-effective conditions. In other words, this chapter aims to introduce an operations research model by presenting MLP for obtaining the best QET in the main domains of SCM. MLP is one of the most determinative tools in this chapter that can provide a competitive advantage. Under goal and system constraints, the most challenging task for decision-makers (DMs) is to decide which components to fund and at what levels. The definition of a comprehensive target value among the required goals and determining system constraints is the strength of this chapter. Therefore, this chapter can guide the readers to extract the best statistical and non-statistical techniques with the application of an operations research model through MLP in supply chain elements and shows a new innovation of the effective application of operations research approach in this field. The analytic hierarchy process (AHP) is a supplemental tool in this chapter to facilitate the relevant decision-making process.

Global value chains (GVCs) have been challenged by several emerging macro-trends during the last years. Among them, sustainability of production and consumption patterns is becoming a central theme given the necessity to mitigate the degradation of the environment and the over-exploitation of scarce natural resources. In this respect, scholars and practitioners increasingly propose the circular economy (CE) approach as a systemic solution to overcome the conventional linear “take–make–use–dispose” model underlying the structure of contemporary global economy. However, the international business (IB) community has introduced the topic of CE only marginally in its debate. The aim of the present study is to fill this research gap identifying the opportunities for integrating IB and CE principles. Thus, the main objective is to investigate whether and how the adoption of the CE paradigm by multinational enterprises (MNEs) may affect activities, geographical configuration, and governance of their relevant GVCs.

The authors address the issue from a conceptual point of view, identifying direct and indirect impacts of CE adoption on GVC, relative enablers, and possible broader implications. Lastly, the authors propose some reflections for future investigations.