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The purpose of this paper is to explore cargo theft risk and security for different product types at different locations along a transport chain.

This study is based on a system-theoretical approach. The research method is deductive, as the analysis is based on secondary data and results from a questionnaire. The results are analysed based on supply chain risk management (SCRM) theories.

Due to substantial interaction effects, the type of product and transport chain location must be considered to determine the correct level of security. Specifically, the product type is more significant, since the general cargo theft risk is higher. Furthermore, the transport industry has three perspectives on security responses to cargo theft, namely, demanded, needed and actual security, which differ depending on the product type and transport chain location.

This database is structured according to the global Transported Asset Protection Association organisational structure, which implies that there are three main databases: Europe, Middle East and Africa, Americas, and Asia-Pacific.

This study has both research and practical implications, as it examines security within freight transport from three perspectives, linked to general cargo theft risk and goods owners’ requirements.

This study addresses the contemporary SCRM problem of cargo theft using actual crime statistics and the industry understanding of required generic security levels.

The wood construction industry has been described as slow in adapting efficiency-increasing activities in its operations and supply chain. The industry is still facing challenges related to digitalization, such as fragmentation, poor traceability and lack of real-time information. This study evaluates the status of digitalization in construction supply chains by thematically analyzing the existing literature and mapping research trends.

A review of the key literature from 2016 to 2021 was performed. The results highlight various technologies and their applications within supply chains and identify research gaps, especially between theoretical frameworks and actual implementation using a scientometric-thematic analysis.

This paper provides a conceptual framework to further aid researchers in exploring the current trends in Supply Chain 4.0 and its applications in the wood construction industry compared to other more advanced industries. Suggested directions for future research in the wood construction Supply Chain 4.0 are outlined.

The existing literature still lacks a comprehensive review of the potential of a digitalized supply chain, especially in the construction industry. This framework is pivotal to continue explaining and observing the best ways to accelerate and implement Supply Chain 4.0 practices for digitalized supply chain management (SCM) while focusing specifically on the wood construction industry. The literature review results will help develop a comprehensive framework for future research direction to create a clearer vision of the current state of digitalization in supply chains and focus on the wood construction supply chain, thus, fully achieving the benefits of Supply Chain 4.0 in the wood construction industry.

This study aims to present a state-of-the-art review of building information modelling (BIM) in the Swedish construction practice with a focus on wood construction. It focuses on examining the extent, maturity and actual practices of BIM in the Swedish wood construction industry, by analysing practitioners’ perspectives on the current state of BIM and its perceived benefits.

A qualitative approach was selected, given the study’s exploratory character. Initially, an extensive review was undertaken to examine the current state of BIM utilisation and its associated advantages within the construction industry. Subsequently, empirical data were acquired through semi-structured interviews featuring open-ended questions, aimed at comprehensively assessing the prevailing extent of BIM integration within the Swedish wood construction sector.

The research concluded that the wood construction industry in Sweden is shifting towards BIM on different levels, where in some cases, the level of implementation is still modest. It should be emphasised that the wood construction industry in Sweden is not realising the full potential of BIM. The industry is still using a combination of BIM and traditional methods, thus, limiting the benefits that full BIM implementation could offer the industry.

This study provided empirical evidence on the current perceptions and state of practice of the Swedish wood construction industry regarding BIM maturity.

The purpose of this paper is to examine the patterns of reported cargo thefts at non-secure parking facilities in Europe, the Middle East, and Africa (EMEA) with respect to stolen value, frequency, incident category, and modi operandi.

This study is based on a system-theoretical approach that emphasizes on a holistic rather than an atomistic view. The research method used in this paper is deductive; the analysis is based on data obtained from the incident information service (IIS), a database of transport-related crimes from the Transported Asset Protection Association (TAPA) in the EMEA region. The results are analysed and discussed within a frame of reference based on supply chain risk management (SCRM) and criminology theories.

We found that 97 per cent of all attacks during a stop occur at non-secure parking locations. Cargo thefts at these locations are more of a volume crime than high-value thefts. Seasonal variations were seen in these thefts, and the most common type was an intrusion on weekdays during winter.

This study is limited by the content of and the classifications within the TAPA EMEA IIS database.

This paper is directly relevant to the current EU discussions regarding the creation of a large number of secure parking facilities in the region.

This is one of the first papers in the field of SCRM that utilizes actual crime statistics reported by the industry to analyse the occurrence of cargo theft by focusing on the non-secure parking aspect in the transport chain.

The main purpose of this study is to increase the understanding of consumer behaviour with respect to (r)e‐tail borrowing, performed under different (more or less generous) delivery and return policies.

The study was designed as a randomised controlled experiment with a random sample strategy. Among the 192,482 Swedish customers who had made an order at nelly.com during the previous 12 months and were to receive the quarterly nelly.com newsletter in November 2010 by e‐mail, 4,000 were randomly selected and randomised into four groups of 1,000 in each group.

The experiment revealed certain purchase and return patterns that support the conclusion that (r)e‐tail borrowing behaviour exists in fashion e‐commerce. Evidence was also found that lenient delivery and returns policies seem to reinforce (r)e‐tail borrowing behaviour, albeit not always in expected ways.

Differences in delivery and return policies seem to impact consumer purchase and return behaviour differently depending on the type of item. Therefore a more differentiated view of how to apply them is suggested. Offering the same delivery and return policies to all types of customers and products is generally not optimal with respect to profitability.

The paper illustrates the need to consider both delivery and returns policies together with customer and product categories simultaneously when applying them in an e‐commerce context.

The purpose of this paper is to describe the seasonal patterns of reported cargo theft value and frequency in Europe, Middle East, and Africa (EMEA) countries with respect to different transport chain locations.

This study is based on a system-theoretical approach, which emphasizes a holistic rather than an atomistic view. The research method used in this paper is deductive; the analysis is based on the data taken from Incident Information Service (IIS), a transport-related crime database of Transported Asset Protection Association (TAPA) EMEA; and the result is analyzed and discussed within a frame of reference based on supply chain risk management and criminology theories.

There are seasonal variations in cargo thefts at different transport chain locations during particular months of the year as well as days of the week; however, each transport chain location has a different pattern. Indeed, hot spots, modus operandi, theft-endangered objects, and handling methods change frequently during the period under study. However, the basic theoretical frame of reference continues to be the same.

This study is based on theoretical deduction using official statistics regarding antagonistic threats. Its geographical limitation to the EMEA is owing to the limitations of the utilized database, although the frame of reference can be applied to analyze antagonistic threats against transport chains globally.

This study is limited by the content and classification within the TAPA EMEA IIS database; nevertheless, this database is the best available one, with reports originating mainly from the industry itself, as different TAPA members anonymously report their losses.

This paper is one of the first on supply chain risk management that uses actual crime statistics reported by the industry itself to analyze the occurrence of cargo theft by focusing on the value of the vehicle/goods stolen from transport chain locations.

The purpose of this paper is to show how elements from queueing theory can be used to obtain objective measures of effective capacity in the triage function at Skaraborg Hospital in Sweden without direct observation of the function itself.

Approximately 30,000 patients arrived to the emergency department at Skaraborg Hospital in Sweden during 2011. The exact time of arrival and the exact time of triage were recorded for each patient on an individual level. Basic queueing theory uses arrival rates and system capacity measures to derive average queueing times. The authors use the theoretical relation between these three measures to derive system capacity measures based on observed arrival rates and observed average queueing times.

The effective capacity in the triage process is not a linear function of the number of nurses. However, the management of capacity seems well adapted to the actual demand, even though service levels vary substantially during the day and night.

This paper uses elements from queueing theory in an innovative way to measure the effective capacity of a service process without direct observation, thereby also avoiding the potential risk of the Hawthorne effect.

The purpose of this paper is twofold: first, to empirically test whether a “one size fits all” strategy fits the fashion e-commerce business and second, to evaluate whether consumer returns are a central aspect of the creation of profitability and, if so, to discuss the role of returns management (RM) in the supply chain strategy.

Transactional sales and return data were analysed and used to categorise customers based on their buying and returning behaviours, measuring each customer's net contribution margins.

The e-commerce business collects a vast quantity of data, but these data are seldom used for the development of service differentiation. This study analysed behaviour patterns and determined that the segmentation of customers on the basis of both sales and return patterns can facilitate a differentiated service delivery approach.

This research empirically supports the theory that customer buying and returning behaviours can be used to appropriately categorise customers and thereby guide the development of a more differentiated service approach.

The findings support a differentiated service delivery system that utilises a more dynamic approach, conserving resources and linking the supply chain and/or organisational strategies with customers' buying and returning behaviours to avoid over and underservicing customers.

Consumer returns are often viewed as a negative aspect of doing business; interestingly, however, the authors revealed that the most profitable customer is a repeat customer who frequently returns goods.