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The purpose of this paper is to present a conceptual model that defines the essential components shaping the new Digital Supply Chains (DSCs) through the implementation and acceleration of Industry 4.0.

The scope of the present work exposes a conceptual approach and review of the key literature from 1989 to 2019, concerning the evolution and transformation of the actors and constructs in logistics and Supply Chain Management (SCM) by means of examining different conceptual models and a state-of-the-art review of Industry 4.0’s concepts and elements, with a focus on digitization in supply chain (SC) processes. A detailed study of the constructs and components of SCM, as defined by their authors, resulted in the development of a referential and systematic model that fuses the inherent concepts and roles of SCM, with the new technological trends directed toward digitization, automation, and the increasing use of information and communication technologies across logistics global value chains.

Having achieved an exploration of the different conceptual frameworks, there is no compelling evidence of the existence of a conceptual SCM that incorporates the basic theoretical constructs and the new roles and elements of Industry 4.0. Therefore, the main components of Industry 4.0 and their impact on DSC Management are described, driving the proposal for a new conceptual model which addresses and accelerates a vision of the future of the interconnectivity between different DSCs, grouped in clusters in order to add value, through new forms of cooperation and digital integration.

This research explores the gap in the current SCM models leading into Industry 4.0. The proposed model provides a novel and comprehensive overview of the new concepts and components driving the nascent and current DSCs. This conceptual framework will further aid researchers in the exploration of knowledge regarding the variables and components presented, as well as the verification of the newly revealed roles and constructs to understand the new forms of cooperation and implementation of Industry 4.0 in digitalized SCs.

There is a renowned interest in adaptability as an important principle for achieving circularity in the built environment. Circular building adaptability (CBA) could enable long-term building utilisation and flexible use of space with limited material flows. This paper identifies and analyses design strategies facilitating CBA to propose a framework for enhancing the implementation of the concept.

Interviews were conducted with professionals experienced in circular building design to explore the questions “How do currently applied design strategies enable CBA?” and “How can CBA be implemented through a conceptual design framework?”. The interviews encircled multi-residential building examples to identify currently applied circular design strategies. The interviews were analysed through qualitative content analysis using CBA determinants as a coding framework.

The results show that all ten CBA determinants are supported by design strategies applied in current circular building design. However, some determinants are more supported than others, and design strategies are often employed without explicitly considering adaptability. The design strategies that enable adaptability offer long-term solutions requiring large-scale modifications rather than facilitating low-impact adaptation by dwelling occupants. The proposed conceptual design framework could aid architects in resolving these issues and implementing CBA in their circular building design.

This paper’s contribution to CBA is threefold. It demonstrates design strategies facilitating CBA, proposes a conceptual design framework to apply the concept and identifies the need for a more comprehensive application of available adaptability strategies.

The purpose of this paper is to provide a synthesis of the contingent work field and to advocate a sustainable career perspective on contingent work.

Adopting a broader review approach allowed to synthesize the contingent work literature across contingent work types (temporary agency work, gig work and freelance work) and develop a sustainable career perspective on contingent work. The authors searched for empirical, conceptual and review articles published from 2008 to December 2021. In total, the authors included 208 articles.

The authors advocate a sustainable career perspective that allows for organizing and synthesizing the fragmented contingent work literature. Adopting a sustainable career perspective enables to study contingent work from a dynamic perspective transcending one single organization.

The field is suffering from fragmentation and most importantly from an oversight of how contingent work experiences play a role in a persons’ career. This paper addresses this problem by adopting a sustainable career perspective on contingent work.

Sustainability has long been known to present an epistemic challenge. In the corporate setting, this challenge translates into the difficulties experienced by managers not only in devising solutions to corporate sustainability problems, but even in developing the awareness of the latter. The paper explores how these difficulties may be overcome by corporate stakeholder management policies.

The paper develops a conceptual framework that reconstructs the Hayekian theory of market process in the context of Williamson's (1996) distinction between autonomous and cooperative adaptation.

Applying the Hayekian theory of market process to the process of engagement and collaboration of corporate stakeholders, the paper shows how the latter process may address the epistemic challenge of corporate sustainability and derives implications for the design of business models for sustainability.

The paper informs stakeholder theory in two ways: first, stakeholder theory is given a novel justification in terms of reflecting the growing prominence of cooperative adaptation and second, corporate stakeholder management is shown to be crucial for maximizing not only economic but also sustainability performance.

Governments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered. This paper compiles Multi-criteria decision-making (MCDM) studies related to automotive industry. We applied a Systematic Literature Review on MCDM studies published until 2015 to identify patterns on MCDM applications to design vehicles more fuel efficient in order to achieve full compliance with energy efficiency guidelines (e.g., Inovar-Auto). From 339 papers, 45 papers have been identified as describing some MCDM technique and correlation to automotive industry. We classified the most common MCDM technique and application in the automotive industry. Integrated approaches were more usual than individual ones. Application of fuzzy methods to tackle uncertainties in the data was also observed. Despite the maturity in the use of MCDM in several areas of knowledge, and intensive use in the automotive industry, none of them are directly linked to car design for energy efficiency. Analytic Hierarchy Process was identified as the common technique applied in the automotive industry.