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This study is intended to motivate and guide future researchers to rethink and update their theories of operational capability development. By examining the extensive body of research on operational capabilities and working closely with an industry partner, the authors are iteratively developing new thinking about why our existing models seem to be failing and what aspects are likely to be useful in updating them.

This pathway paper is based on observations gained through a structured literature review, close collaboration with an industry partner and discussions with other industry partners and executives.

The authors identify ways in which the operations management community could begin to challenge and expand existing models of operational capability development. They provide reflections on the network structure of operational capabilities, i.e. their interconnectedness and interactions, which are likely to evolve dynamically over time and have not yet been part of the authors’ thinking about operational capability development.

The authors hope to stimulate new research through this pathway paper. By synthesizing their existing knowledge of operational capabilities and collaborating with an industry partner, the authors have attempted to highlight their limited knowledge of capability development. In addition, the authors offer several opportunities to rethink their existing models.

The purpose of this paper is to explore and disseminate knowledge about quantum-inspired computing technology's potential to solve complex challenges faced by the operational agility capability in Industry 4.0 manufacturing and logistics operations.

A multi-case study approach is used to determine the impact of quantum-inspired computing technology in manufacturing and logistics processes from the supplier perspective. A literature review provides the basis for a framework to identify a set of flexibility and agility operational capabilities enabled by Industry 4.0 Information and Digital Technologies. The use cases are analyzed in depth, first individually and then jointly.

Study results suggest that quantum-inspired computing technology has the potential to harness and boost companies' operational flexibility to enhance operational agility in manufacturing and logistics operations management, particularly in the Industry 4.0 context. An exploratory model is proposed to explain the relationships between quantum-inspired computing technology and the deployment of operational agility capabilities.

This is study explores the use of quantum-inspired computing technology in Industry 4.0 operations management and contributes to understanding its potential to enable operational agility capability in manufacturing and logistics operations.

The COVID-19 pandemic caused global supply disruptions and shortages that resulted in countries battling over desperately needed (medical) supplies. In this mayhem, additive manufacturing (AM) provided relief to the strained healthcare systems and manufacturing environments by offering an alternative way to rapidly produce desired products. This study sheds light on how AM was used globally in response to the COVID-19 pandemic.

The study undertakes a systematic and content-centric review of 289 additively manufactured products made in response to the COVID-19 pandemic. Additionally, quantitative frequency-based text mining and various descriptive analyses were applied that support the investigation of the subject under regard.

Results show that AM was primarily used in the medical domain for the production of standard medical items, such as personal protective equipment (PPE) but also for non-obvious and new applications (e.g. swab simulator, rapid diagnostic kits, etc.). Also, certain paradigm shifts were observed, as the effective move to mass production and the mitigation of problems related to certification and standardization emerged as prominent management prospects. Nevertheless, various obstacles arose and remained in the path of lasting AM success, especially with respect to print quality, raw material supply and technological versatility.

Due to the actuality of the topic under investigation, no comparable study has so far been conducted. The systematic review provides a conclusive and precise foundation for further analysis and subsequent discussions. Additionally, no comparable study mapping such a wide array of different AM products exists today.

This invited article explores current developments in supply chain risk management (SCRM) practices by revisiting the classical case of Ericsson (Norrman and Jansson, 2004) after 15 years, and updating its case description and analysis of its organizational structure, processes and tools for SCRM.

An exploratory case study is conducted with a longitudinal focus, aiming to understand both proactive and reactive SCRM practices using a holistic perspective of a real-life example.

The study demonstrates how Ericsson's SCRM practices have developed, indicating that improved functional capabilities are increasingly combined across silos and leveraged by formalized learning processes. Important enablers are IT capabilities, a fine-grained and cross-functional organization, and a focus on monitoring and compliance. Major developments in SCRM are often triggered by incidents, but also by requirements from external stakeholders and new corporate leaders actively focusing on SCRM and related activities.

Relevant areas for future research are proposed, thereby increasing the knowledge of how companies can develop SCRM practices and capabilities further.

Being one of few in-depth holistic case studies of SCRM, decision-makers can learn about many practices and tools. Of special interest is the detailed description of how Ericsson reactively responded to the Fukushima incident (2011), and how it proactively engaged in monitoring and assessment activities. It is also exemplified how SCRM practices could continuously be developed to make them “stick” to the organization, even in stable times.

This is one of the first case studies to delve deeper into the development of SCRM practices through taking a longitudinal approach.

The purpose of this paper was to explore individual- and firm-level antecedents of the ability of a manufacturing firm's personnel to collaborate and integrate knowledge for organizational resilience practices.

The authors apply hierarchical regression analysis to study a sample of 192 European industrial equipment manufacturers. Data for each firm are collected from surveys of two key informants in each firm, as well as from public sources.

Firms' personnel’s ability to integrate information and knowledge for organizational resilience practices was positively related with the extent of the head of manufacturing's network of personal contacts inside the firm. This effect was stronger in firms with more formalized job descriptions and clearly defined roles. The head of manufacturing's orientation to teamwork and cooperation impacted this ability only in firms that did not financially incentivize cooperation. The authors also found that cooperation incentives and role formalization directly relate to firms' personnel’s ability to integrate information and knowledge for organizational resilience practices.

The study proposes to study organizational resilience practices through a transactive memory systems lens. The study is also the first to link characteristics of individual managers to firm-level resilience practices by examining the antecedents of firms' ability to integrate information and knowledge to recover from operational disruptions. Furthermore, the study serves to enhance the knowledge of resilience practices by examining the role of firm-level antecedents and their interplay with characteristics of individual managers.

Supply chain (SC) professionals and their competence play a key role in creating value and competitive advantage for companies. A considerable amount of this competence is developed at work, but little is known about how this takes place. Drawing on constructivist learning theory, the authors investigate how SC professionals develop their competence at work.

The study takes off from a theoretical framework of workplace learning mechanisms, followed by a series of in-depth interviews with an expertise panel of profoundly competent and experienced SC professionals.

The results provide detailed insights into the learning process of SC professionals. The key findings show that SC professionals use a wide range of learning mechanisms throughout their careers, and that the contribution and complexity of these mechanisms differ and change dynamically with seniority. The findings also show that learning mechanisms should not be viewed as isolated phenomena, but closely related to every-day SCM work as well as learning attitude.

By conceptualizing learning as a process, and congregating the fragmented literature into a framework of workplace learning mechanisms, this research provides a theoretical reference point for future studies. The empirical findings bring a new level of detailed knowledge on how SC professionals learn at work.

The results can assist SC professionals, HR managers and academic program leaders in their quest to develop competence in the field of SCM.

This paper makes a unique contribution to the human aspects of SCM literature by presenting the first study that investigates in depth the crucial but complex process of how workplace learning takes place for SC professionals in practice.