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This paper aims to explore the use of digital technologies in enabling circular ecosystems. We apply supply network (SN) configuration theory and a novel resource pooling lens, more typically used in financial systems, to identify inventory pools, information repositories and financial exchange models among network actors.

Five in-depth circular SN case studies are examined where digital technologies are extensively deployed to support circularity, each case representing alternative SN configurations. Data collection involved semi-structured interviews to map SN and resource pooling configurations across each circular ecosystem, with cross-case analysis used to identify distinct pooling and digital strategies.

Results suggest three digitally enabled circular ecosystem archetypes and their related governance modalities: consortia-based information pooling for resource recovery, intermediary-enabled material and financial pooling for remanufacturing and platform-driven information, material and financial pooling for resource optimisation.

Drawing on SN configuration and resource pooling literature, we recognise distinct configurational, stakeholder and resource pooling dimensions characterising circular ecosystems. While this research is exploratory and the identified archetypes not exhaustive, the combination of resource pooling and configuration lenses offers new insights on circular ecosystem configurations and the critical role of resource pools and enabling digital technologies.

We demonstrate the utility of the resource pooling and configuration approach in the design of digitally enabled circular ecosystems. These archetypes provide practitioners and policymakers with alternative design frameworks when considering circular SN transformations.

This paper introduces a resource netting and pooling configuration lens to circular ecosystems, analogous to financial systems, where cyclical flows and stock are critical and enabled through digital technologies.

This study dwells into the crucial aspects of gig workers' jobs that are absent, with specific focus on the work life of food delivery workers (FDWs) and how it impacts their work happiness.

To create a conceptual model, 21 delivery workers were first interviewed, and the data gathered were scrutinized. Subsequently, a questionnaire was sent to 493 delivery partners, probing about their opinions of work factors that could affect their level of happiness. The collected data were put to study by the authors using AMOS and SPSS.

Five missing work components were revealed by qualitative investigation. The absence of voice, recognition, career growth, work satisfaction, and dignity at work contributed to unhappiness of the workers. The qualitative analysis was supported by quantitative findings. Additionally, company policy moderated the relationship between absence of voice, absence of career growth, absence of job satisfaction and absence of work happiness.

To the best of the authors’ knowledge, this is one of the first studies using a mixed-method approach to identify factors contributing to the unhappiness of FDWs in work. The originality of this study also lies in establishing the moderating influence of company policy on the relationship between the absence of voice, absence of career growth, absence of work satisfaction and absence of workplace happiness among the workers.

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.

We enquire whether short-time work (STW) avoids firings as intended by policymakers and is associated with unintended side effects by subsidising some establishments and locking in some employees. Additionally, where it was feasible, establishments used working from home (WFH) to continue working without risking an increase in COVID-19 infections and allowing employed parents to care for children attending closed schools.

Using 21 waves of German high-frequency establishment panel data collected during the COVID-19 crisis, we investigate how STW and WFH are associated with hirings, firings, resignations and excess labour turnover (or churning).

Our results show the important influences of STW and working from home on employment dynamics during the pandemic. By means of STW, establishments are able to avoid an increase in involuntary layoffs and hiring decreases significantly. In contrast, WFH is associated with a rise in resignations, as can be expected from a theoretical perspective.

While most of the literature on STW and WFH is unrelated and remains descriptive, we consider them in conjunction and conduct panel data analyses. We apply data and methods that allow for the dynamic pattern of STW and working from home during the pandemic. Furthermore, our data include relevant establishment-level variables, such as the existence of a works council, employee qualifications, establishment size, the degree to which the establishment was affected by the COVID-19 crisis, industry affiliation and a wave indicator for the period the survey was conducted.