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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.

In the context of the COVID-19 pandemic, this study investigates a variety of approaches to supply disruption risk management for achieving effective responses for resilience at the supply management subunit level (e.g. category of items). Drawing on the attention-based view of the firm, the authors model the attentional antecedents of supply resilience as (1) attentional perspectives and (2) attentional selection. Attentional perspectives focus on either supply risk sources or supply network recoverability, and both are hypothesised to have a direct positive association with supply resilience. Attentional selection is top down or bottom up when it comes to disruption detection, and these are hypothesised to moderate the association between disruption risk management perspectives and resilience.

Conducted at the early phases of the COVID-19 pandemic, this study employs a hierarchical regression analysis on a multicountry survey of 190 procurement professionals, each responding from the perspective of their own subunit area of supply responsibility.

Both attentional disruption risk management perspectives are needed to achieve supply resilience, and neither is superior in terms of achieving supply resilience. Both the efficiency of the top down and exposure to the unexpected with the bottom up are needed – to a balanced degree – for improved supply resilience.

The results encourage firms to purposefully develop their supply risk management practices, first, to include both perspectives and, second, to avoid biases in attentional selection for disruption detection. Ensuring a more balanced approach may allow firms to improve their supply resilience.

The results contribute to the understanding of the microfoundations that underpin firms' operational capabilities for supply risk and disruption management and possible attentional biases.

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.

The size of the logistics market is typically estimated from the national accounting and market data. However, this data does not take certain in-house logistics services into account and most likely underestimates the true size of the market. The purpose of this paper is to develop a method for estimating the potential size of the logistics market in terms of overall logistics expenditure and to also account for in-house services.

The research approach involves combining longitudinal industry- and firm-level turnover data, incorporating survey data from Finland on logistics outsourcing and costs, and calculating yearly logistics expenditure and the market demand for logistics services. Descriptive statistics, weighted arithmetic means and analyses of variance are employed in the estimations.

The research suggests and demonstrates a rigorous method for estimating the size of the logistics market, including both market-based demand and in-house services.

The empirical data used to illustrate the result are limited to a single country. The methodology should be further validated with data from other countries. The quality of the survey data could be improved by targeting multiple informants from a single firm.

One outcome of the research is that policymakers will be better able to estimate the size of the logistics market on a national level. For service providers, the results provide additional information on the market potential of logistics services.

The novelty of the research lies in combining multiple data sources and expanding the estimation of the logistics market to include services provided in-house.

The purpose of this paper is to provide evidence of how the business cycle affects net-trade-credit and its components in firms on different tiers of the value chain, including retail, wholesale and two consecutive manufacturing tiers.

Data were collected by the means of four surveys in the years 2006, 2009, 2012 and 2014, representing different phases of the business cycle, that is, from strong economic growth to a deep recession and on to slow recovery and finally into decline. Descriptive statistics and three ANOVA models were used in the analysis of the data.

The distinctive profile of each value chain tier appears to have an effect on tier-specific trade credit dynamics. Overall, upstream positioned firms and small firms are likely to experience a decline in the net-trade-credit during uncertain economic times. The type of task interdependence between tiers also appears to affect trade credit dynamics in some tiers of the value chain. Furthermore, initiated by recession, certain trade credit dynamics in the value chain suggest a mechanism that transmits an increased working capital burden from customers to suppliers along the value chain.

Results are based on survey research with a limited amount of respondents and geographical coverage, implying limited generalisability. The use of implicit measures limits the conclusiveness of the research.

The conventional perception of the power-based determination of trade credit policies is complemented with a value chain-related task interdependence perspective. The results of this paper also highlight that a more holistic value chain perceptive on working capital management would be more sustainable in comparison to firm-centric approaches.

The purpose of this paper is to identify the relevant assessment criteria for retailer supply chain capability from the perspective of foreign food manufacturers, in an emerging market context, and to evaluate the development level of Russian retail chains in this sphere.

The authors use analytic hierarchy process (AHP) for the modelling and research method, with an exploratory workshop for the specification of the model structure, a web‐based questionnaire for priority weight development, and semi‐structured interviews for the validation of results. A food manufacturing‐based focus group participated in the modelling process.

A four‐level capability assessment model was created, with operational assessment criteria allocated into management, logistics or marketing categories. The results indicate that management‐related criteria have a dominant role in assessing the supply chain capability of a retail chain company. Furthermore, the priority weight of logistics capability is only somewhat higher in comparison to marketing capability, although it is ranked significantly lower in comparison to management capability. Operational level criteria weights are also provided. In terms of the evaluation of Russian retailers, the results indicate the slight dominance of logistics capability over marketing.

The research is based on an AHP process with a focus group discussion, implying a limited level of generalisability to other contexts.

This research provides practical insight on how to assess retailer supply chain capability in general, and describes the level of development of various capabilities and functional areas among Russian food retailers.

Our research provides a framework that may be used in Russia and other emerging market settings to evaluate the capability of retail partners from the manufacturer perspective.

The purpose of this paper is to find out the current SCM skill development priorities in manufacturing firms and how the structural properties of the supply chain translate into demand for SCM skills in manufacturing firms.

An internet survey was designed and conducted. The responses of 154 manufacturing companies operating in Finland were analysed through descriptive statistics and regression analyses.

The supply chain management skills with an inter‐organisational focus tend to have a higher development priority than the skills with an intra‐organisational focus. The top five skills for development are: demand forecasting and supply planning; sourcing and supplier management; customer and distribution channel management; production planning and control; and information systems for logistics and production planning. Structural properties of the supply chain seem to have an effect on skills that are related to supply chain design and information flow infrastructure, i.e. the ability to locate the various nodes in the network, and to connect and coordinate their respective activities in the face of often uncertain demand.

The results are based on survey research with a limited sample size and geographic coverage with bias towards large firms. The research scope is further limited to investigating the influence of structural properties of the supply chain, leaving opportunities for further research on the demand for SCM skills.

The authors report original findings that provide input to the development processes of training programmes and university curricula, related to supply chain management. They also initiate theory development on the determinants of demand for SCM skills.