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The purpose of the article is to demonstrate how agency theory has been used to address the dynamics involved in supply chain management. It is also dedicated to suggesting an agenda for future research.

We performed an integrative literature review, based on the process detailed by Botelho et al. (2011), with search filters. The articles were obtained from the Scopus and Web of Science databases using the keywords “supply chain” and “agency theory”, with a subsequent analytical filter for “management”. The search initially identified 205 articles. After two screenings, 56 articles were selected for analysis.

Despite attempts to infer the importance of research on agency theory in supply chain management, its application to the discipline is scarce. Clearly, agency theory provides valuable insights into the relationships in the supply chain. In the studies analyzed, the dynamics of performance, risk, sustainability, dyadic and inter-firm relationships, and supplier management are predominant.

When considering unwanted behaviors throughout the supply chain, agency theory fills the explanatory gaps for these facts. It also proves to be a useful tool to answer mainly the dilemmas of underlying theories, such as transaction cost theory, resource-based view and network theory. Rare are the studies that examine the current state of the application of agency theory in the supply chain literature in the management field.

This paper aims to investigate the emergence of blockchain-enabled traceability in complex multi-tiered supply chains, focusing on the perspective of upstream suppliers. Blockchain technology receives attention for its potential to enable better traceability and thus sustainability risk management, yet there is limited empirical evidence on how actual implementation unfolds. We aim to understand how blockchain adoption unfolds in practice, particularly in critical mineral supply chains that are critical to the sustainability transition yet linked to severe environmental and human rights risks and to explore the role of traditionally non-focal firms in this process.

Adopting a process-based case study design, our research is grounded in data collected through participant observation (>12 months) within an upstream mining company, supplemented by interviews and document review. Our study employs the complex adaptive systems (CAS) lens and uses an abductive approach for data analysis.

In our case, blockchain-based traceability in the cobalt supply chain was co-constructed over time, fundamentally driven by a large upstream supplier but enabled through supply-chain-spanning collaboration with like-minded downstream actors and successive expansion into the opaque midstream, enabled through a stakeholder alliance forum and formalized in the blockchain. We find, however, that visibility, standards, trust and follow-up capacities need to exist in their own right, ideally prior to blockchain implementation.

Our paper provides empirical insights from an upstream (vs downstream) perspective and investigates blockchain’s implementation (vs potential) to complement and ground existing research. Further, we extend the CAS framework by emphasizing agency and visible horizon of traditionally non-focal firms.

Implementing change in healthcare is difficult to accomplish due to the unpredictability associated with challenging the status quo. Adapting the intervention/practice/program being implemented to better fit the complex context is an important aspect of implementation success. Despite the acknowledged influence of context, the concept continues to receive insufficient attention at the team-level within implementation research. Using two heterogeneous multidisciplinary healthcare teams as implementation case studies, this study evaluates the interplay between context and implementation and highlights the ways in which context influences the introduction of a collective leadership intervention in routine practice.

The multiple case study design adopted, employed a triangulation of qualitative research methods which involved observation (Case A = 16 h, Case B = 15 h) and interview data (Case A = 13 participants, Case B = 12 participants). Using an inductive approach, an in-depth thematic analysis of the data outlined the relationship between team-level contextual factors and implementation success.

Themes are presented under the headings: (1) adapting to the everyday realities, a key determinant for implementation success and (2) implementation stimulating change in context. The findings demonstrate a dynamic relationship between context and implementation. The challenges of engaging busy healthcare professionals emphasised that mapping the contextual complexity of a site and adapting implementation accordingly is essential to enhance the likelihood of successful implementation. However, implementation also altered the surrounding context, stimulating changes within both teams.

By exposing the reciprocal relationship between team-level contextual factors and implementation, this research supports the improved design of implementation strategies through better understanding the interplay and mutual evolution of evidence-based healthcare interventions within different contexts.

Although consumers feel that the move toward service robots in the frontline so far was driven by firms' strive to replace human service agents and realize cost savings accordingly, the COVID-19 pandemic has led customers to appreciate frontline robots' ability to provide services in ways that keep them safe and protected from the virus. Still, research on this topic is scant. This article offers guidance by providing a theoretical backdrop for the safety perspective on service robots, as well as outlining a typology that researchers and practitioners can use to further advance this field.

A typology is developed based on a combination of a theory- and practice-driven approach. Departing from the type of behavior performed by the service robot, the typology synthesizes three different service robot roles from past literature and proposes three new safety-related role extensions. These safety-related roles are derived from a search for examples of how service robots are used in practice during the COVID-19 pandemic.

The typology's roles are corroborated by discussing relevant robot implementations around the globe. Jointly, the six roles give rise to several ideas that jointly constitute a future research agenda.

This manuscript is (one of) the first to provide in-depth attention to the phenomenon of service customers' physical safety needs in the age of service robots. In doing so, it discusses and ties together theories and concepts from different fields, such as hierarchy of needs theory, evolutionary human motives theory, perceived risk theory, regulatory focus theory, job demand–resources theory, and theory of artificial intelligence job replacement.