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The emergence of distributed manufacturing (DM) is examined as a new form of localised production, distinct from previous manifestations of multi-domestic and indigenous production.

Supply network (SN) configuration and infrastructural provisioning perspectives were used to examine the literature on established localised production models as well as DM. A multiple case study was then undertaken to describe and explore the DM model further. A maximum variation sampling procedure was used to select five exemplar cases.

Three main contributions emerge from this study. First, the research uniquely brings together two bodies of literature, namely SN configuration and infrastructure provisioning to explore the DM context. Second, the research applies these theoretical lenses to establish the distinctive nature of DM across seven dimensions of analysis. Third, emerging DM design rules are identified and compared with the more established models of localised production, drawing on both literature and DM case evidence.

This study provides a rich SN configuration and infrastructural provisioning view on DM leading to a set of design rules for DM adoption, thus supporting practitioners in their efforts to develop viable DM implementation plans.

The authors contribute to the intra- and inter-organisational requirements for the emerging DM context by providing new perspectives through the combined lenses of SN configuration and infrastructural provisioning approaches.

This paper aims to better understand and structure the process of business model (BM) redesign in dynamic industry contexts by exploring the interactions of BM components through a configuration and design-science lens. While these interactions have been investigated broadly in the BM literature, detailed studies on their properties and structures are limited.

A design-science methodology was utilised to conceptualise a BM design artefact based on literature, the components' interactions of which were investigated and iteratively validated through a case study of an organisation going through a BM change. The artefact served as a framework to capture the case firm's BM and value proposition through semi-structured interviews.

The results suggest that the interaction of BM components is represented by the value proposition as an integrating mechanism, which can be expressed as a combination of tangible, intangible and monetary inter-component flows. The value proposition, rather than being pre-determined and static, is dynamic and evolves as its flows are exchanged across the value creation, delivery, customer and capture components of the BM. These exchanges and interactions are facilitated by the components' input-process-output capabilities and drive BM reconfiguration through five value flow “properties”, expressed in terms of change in quantity, speed/frequency, composition, quality and value.

While developed with inputs from a complex business environment that provides a rich research context, this work acknowledges the trade-off between in-depth single case analysis in theory building, and the need for follow-on research to address the limiting contextual variables and extend generalisability.

The study offers a framework-based sequence of activities that managers can adopt for the BM design process in dynamic industry environments.

This work contributes to BM theory by setting out a mechanism that helps better understand interactions of BM components in dynamic environments, while also challenging the established definition of the value proposition concept – a key BM component – thus presenting significant implications for theory.

The purpose of this paper is to propose a novel resource availability assessment for supply chain (SC) configuration. This approach involves understanding both local resource availability and the demand-side implications of supplying global/regional markets as part of a more holistic SC design activity that incorporates local environmental factors.

The proposed framework was derived from literature analysis, bridging relevant literature domains – natural capital theory, industrial ecology and SC configuration – in order to develop design rules for future resource-constrained industrial systems. In order to test the proposed framework, an exploratory case study, based on secondary data, was conducted.

Research findings suggest that this approach might better identify relationships and vulnerabilities between natural resource availability and the viability of regional/global SCs. The research suggests that natural resource availability depends upon three elements – local resource consumption, global resource demand and external environmental factors.

The framework has two main limitations. The current work is focussed on a single industry case study used to exemplify the approach. Second, the framework does not consider other possible industries, which might enter or leave the specific location during the company’s operation. Furthermore, no assessment was made of the migration of populations within the area.

For practitioners, such as those in the agri-food sector, the resource availability assessment framework informs SC configuration design. For policymakers, the research aims to provide policy guidelines, which can help to improve water-saving strategies for a particular region. At a broader societal level, the research raises awareness of resource scarcity amongst industrial players and the wider public.

A resource availability assessment framework has been proposed, suggesting that the dynamics of both global and local resource demand, in conjunction with changing local environmental factors, can over time significantly deteriorate a firm’s natural resource impact on the local environment. Thus, the framework seeks to deliver mechanisms to evaluate potential vulnerabilities and solutions available to firms using a more proactive SC design method and to apply reconfiguration processes that account for natural resources, based primarily on network and resource attributes.

The purpose of this paper is to investigate the interplay between configuration dimensions (network structure, network flow, relationship governance, and service architecture) of last-mile supply networks (LMSN) and the underlying mechanisms influencing omnichannel performance.

Based on mixed-method design incorporating a multiple embedded case study, mapping, survey, and archival records, this research involved undertaking in-depth within- and cross-case analyses to examine seven LMSNs, employing a configuration approach.

The existing literature in the operations management (OM) field was shown to provide limited understanding of LMSNs within the emerging omnichannel context. Case results suggest that particular configurations have intrinsic capabilities, and that these directly influence omnichannel performance. The study further proposes a taxonomy of LMSNs comprising six forms, with two hybrids, supporting the notion of equifinality in configuration theory. Propositions are developed to further explore interdependencies between configurational attributes, refining the relationship between LMSN types, and factors influencing omnichannel performance.

The findings provide retailers with a set of design parameters for the (re)configuration of LMSNs and facilitate performance evaluation using the concept of fit between configurational attributes. The developed model sheds light on the consequential effects when certain configurational attributes are altered, preempting managerial attention. Given the global trend in urbanization, improved LMSN performance would have positive societal impacts in terms of service and resource efficiency.

This is one of the first studies in the OM field to critically analyze LMSNs and their behaviors in omnichannel retailing. Additionally, the paper offers several important avenues for future research.

The purpose of this paper is twofold: first, to discuss key challenges associated with the use of either simulation or real-world application of intelligent autonomous vehicles (IAVs) in supply network operations; and second, to provide a theoretical and empirical evidence-based methodological framework that supports the integrated application of conceptualisation, simulation, emulation and physical application of IAVs for the effective design of digital supply networks.

First, this study performs a critical review of the extant literature to identify major benefits and shortcomings related to the use of either simulation modelling or real-word application of physical IAVs. Second, commercial and bespoke software applications, along with a three-dimensional validation and verification emulation tool, are developed to evaluate an IAV’s operations in a conceptual warehouse. Third, a commercial depth-sensor is used as a test bed in a physical setting.

The results demonstrate that conceptual and simulation modelling should be initially used to explore alternative supply chain operations in terms of ideal performance while emulation tools and real-world IAV test beds are eminent in validating preferred digital supply chain design options.

The provided analysis framework was developed using literature evidence along with experimental work and research experience, without consulting any industry experts. In addition, this study was developed based on the application of a single physical device application as a test bed and, thus, the authors should further progress with the testing of a physical IAV in an industrial warehouse.

The study provides bespoke simulation modelling and emulation tools that can be useful for supply chain practitioners in effectively designing network operations.

This work contributes in the operations management field by providing both a multi-stage methodological framework and a practical “toolbox” for the proactive assessment and incorporation of IAVs in supply network operations.

The study develops a structure for procurement digitalisation by identifying its context drivers, technology interventions and performance-inducing mechanisms and exploring the linkages between these variables.

The study draws on rich interview and workshop data on 48 digital intervention projects, as reflected by mental models of managers from 12 case organisations in manufacturing, retail and service sectors. Supported by an a priori structure, the study employs an abductive cross-case analysis approach.

Results suggest several categories within the elements of context, intervention and mechanism to structure procurement digitalisation and the linkages between them. Seven propositions that reflect digitalisation strategy options in procurement are developed regarding the linkages. Internal complexity dominantly drives procurement digitalisation, motivating communication support and process structuring interventions, which in turn aim at procurement coordination and control as well as process improvement. External coercive pressure and external dynamism also drive interventions for information processing and decision aiding, which appear to be linked with supply market knowledge, strategic alignment and supplier capability assessment. Therefore, an internal–external dichotomy is observed as the main thrust of procurement digitalisation.

The study supports decision makers in developing digitalisation strategy options for different procurement contexts. The results also raise awareness of a possible bias in existing strategies for procurement digitalisation.

A novel forward-looking approach is employed to enable the design and construction of systems that do not yet exist by focusing on the mental models of managers in a systematic way.

The new geopolitical context being created by the Ukraine–Russia war highlights the need for structured approaches to planning and implementing unhooking strategies and developing associated supply chain reconfigurations.

The authors have interviewed six supply chain executives to begin the investigation of the key supply chain risks and disruptions caused by the Ukraine–Russia war.

Initial corporate responses to the Ukraine–Russia conflict were significant, perhaps unprecedented. However, as institutional, corporate and consumer sentiment influence reconfiguration responses, the authors have identified three supply chain pathways that underpin unhooking actions.

The authors selected respondents from each different type of supply chain interaction with the conflict zone (inbound, outbound and within), covering both components/intermediate products and finished goods. Therefore the sample size was small and designed to fit in with the spirit of the pathway initiative.

The authors reinforce the key role of procurement and supply chain management in not just supply but also in downstream markets that can accelerate decoupling and mitigate the associated supply chain disruptions.

The authors observe that supply chains are increasingly being weaponized, as external institutional and consumer influences necessitate companies to unhook from conflict zones, countries, or regimes. They are becoming increasingly intertwined with foreign policy.

The novelty of the contribution to the associated discourse is the perspective that after decades of increasing globalization and geographic dispersion of supply chains, the unhooking effort is not limited to a firm and its internal operations but involves multiple stakeholders. For instance, the full extent of the complex linkages of supply chains, networks and relationships that touch conflict zone geographies must be considered, particularly those that are incompatible with the firm's values and aims, including those of their stakeholders.

Supply chains evolve and change in size, shape and configuration, and in how they are coordinated, controlled and managed. Some supply chains are mature and relatively unchanging. Some are subject to significant change. New supply chains may emerge and evolve for a variety of reasons. The purpose of this paper is to examine the nature of supply chain evolution and address the question “What makes a supply chain like it is?”

The paper analyses and develops key aspects, concepts and principal themes concerning the emergence and evolution of supply chains over their lifecycle.

The paper defines the supply chain lifecycle and identifies six factors that interact and may affect a supply chain over its lifecycle – technology and innovation, economics, markets and competition, policy and regulation, procurement and sourcing, supply chain strategies and re-engineering. A number of emergent themes and propositions on factors affecting a supply chain’s characteristics over its lifecycle are presented. The paper argues that a new science is needed to investigate and understand the supply chain lifecycle.

Supply chains are critical for the world economy and essential for modern life. Understanding the supply chain lifecycle and how supply chains evolve provides new perspectives for contemporary supply chain design and management.

The paper presents detailed analysis, critique and reflections from leading researchers on emerging, evolving and mature supply chains.

The purpose of this paper is to re-examine the extant research on last-mile logistics (LML) models and consider LML’s diverse roots in city logistics, home delivery and business-to-consumer distribution, and more recent developments within the e-commerce digital supply chain context. The review offers a structured approach to what is currently a disparate and fractured field in logistics.

The systematic literature review examines the interface between e-commerce and LML. Following a protocol-driven methodology, combined with a “snowballing” technique, a total of 47 articles form the basis of the review.

The literature analysis conceptualises the relationship between a broad set of contingency variables and operational characteristics of LML configuration (push-centric, pull-centric, and hybrid system) via a set of structural variables, which are captured in the form of a design framework. The authors propose four future research areas reflecting likely digital supply chain evolutions.

To circumvent subjective selection of articles for inclusion, all papers were assessed independently by two researchers and counterchecked with two independent logistics experts. Resulting classifications inform the development of future LML models.

The design framework of this study provides practitioners insights on key contingency and structural variables and their interrelationships, as well as viable configuration options within given boundary conditions. The reformulated knowledge allows these prescriptive models to inform practitioners in their design of last-mile distribution.

Improved LML performance would have positive societal impacts in terms of service and resource efficiency.

This paper provides the first comprehensive review on LML models in the modern e-commerce context. It synthesises knowledge of LML models and provides insights on current trends and future research directions.