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Digital technologies comprehensively change work processes and working conditions. However, the use of digital technologies and the modes of collaboration between technologies and human workers differ in terms of specific work organization and automatization. Referring to the job demands-resources model (JD-R), this paper investigates job demands and resources from the workers' perspectives and develops a digital work typology according to dimensions of digitalization and forms of human–computer interaction (HCI).

The authors conducted a qualitative-empirical study with 49 interviews in four German production and logistics organizations, emphasizing different job demands and job resources for five digital work types identified.

The results indicate that job demands and resources are to be differentiated in relation to specific work contexts. In this sense, this paper presents an analysis of dimensions of technology use and the impact of technology use on working conditions through empirically analyzing job demands and resources in digital work settings.

The contribution of this paper is to empirically analyze job demands and resources in digital work settings from the workers' perspectives and to develop a digital work typology based on the dimensions of digitalization and form of HCI. This typology can set the basis for further research insights as well as management practice measures in human resources management (HRM).

Technological advances regarding artificial intelligence (AI) are affecting the transport sector. Although fully autonomous delivery, or self-driving trucks, are not operating currently, various AI applications have become fixed components of cargo vehicles. Since many research approaches primarily concentrate on the technical aspects of assistance systems (ASs), the economic question of how to improve efficiency is seldom addressed. Therefore, the purpose of this paper is to apply an efficiency analysis to measure the performance of truck drivers supplying retail stores.

For this comparative study, 90 professional truck drivers in three groups are compared with (1) trucks without AS, (2) trucks with AS that cannot be turned off and (3) trucks with AS that can be turned off. First, we build a model investigating the impact of performance expectation, effort expectation, social influence and facilitating conditions on the behavioural intention to use AS. Second, we explore the impact of truck drivers' behavioural intention on actual technology use, misuse and disuse; operationalize these constructs; and merge them with our behavioural constructs to create one econometric model.

The human–AI system was found to be the most efficient. Additionally, behavioural intention to use ASs did not lead to actual usage in the AI-alone observation group, but did in the human–AI group. Several in-depth analyses showed that the AI-alone group used AS at a higher level than the human–AI group, but manipulations through, for example, kickdowns or manual break operations led to conscious overriding of the cruise control system and, consequently, to higher diesel consumption, higher variable costs and lower efficiency of transport logistical operations.

Efficiency analysis with data envelopment analysis is, by design, limited by the applied input and output factors.

This study represents one of the first quantitative efficiency analyses of the impact of digitalization on transport performance (i.e. truck driver efficiency). Furthermore, we build an econometric model combining behavioural aspects with actual technology usage in a real application scenario.

The purpose of this paper is to establish criteria for evaluating strategic partners in a network of logistics service providers (LSPs) to show how analytical network process (ANP) can be used to identify the weights of these criteria on a case-specific basis, and to investigate whether the ANP model can be used as a starting point to evaluate strategic partners for other LSP networks.

Based on a literature review of vertical cooperation, the authors develop an overview of criteria for the evaluation of partners in a network of LSPs. The authors then apply ANP at LSP1 to validate the criteria, identify weights for these criteria and to validate model outcomes. Furthermore, the authors investigate whether the ANP model developed for LSP1 can be applied to another LSP with similar characteristics (LSP2). In-depth interviews are used to draw conclusions on the modeling approach and the model outcomes.

The research shows that evaluation criteria for partners in vertical partnerships between shippers and LSPs are applicable to LSP partners in horizontal partnership networks. The ANP model with criteria weights provides a good starting point for LSPs to customize the evaluation framework according to their specific needs or operating environments.

Limited research is available on evaluating LSP partners in horizontal partnerships. To the best of the authors’ knowledge, this paper is the first to bring forward horizontal LSP partner evaluation criteria to develop an ANP model for LSP partner evaluation and to apply this to two cases, and to provide a starting point for evaluating partners in similar horizontal LSP networks.

Digitalization is changing organizations with positive and negative impacts such as increased autonomy on the one hand and increased surveillance and control on the other hand. In this context, new modes of control occur: in addition to managerial control, new modes of control are multi-directed, stemming from colleagues, customers and underlying algorithms. This paper investigates the interrelation of autonomy and new modes of control in digital work contexts from the workers’ perspectives.

Empirical data are based on a mixed-methods approach combining qualitative interviews with 25 and a quantitative questionnaire with 127 workers from urban food logistics organizations in Germany.

The results show that new modes of control are relevant for work engagement in digital work contexts: managerial and algorithm control are perceived as support. Peer and customer control are perceived as coercion.

Besides investigating the interrelation of autonomy and control and differentiating new modes of control, our study also makes important contributions to the perception of control as support and coercion.

The purpose of the research paper is to provide the humanitarian logistics community with an overall picture about competencies and skills in humanitarian logistics and if there is a lack of professionalization of the logistics function in humanitarian context from an international perspective. Further this research elaborates practical approaches how the skills and competencies can be enhanced and developed for international education programs.

An empirical survey as approach was used. Hereby a descriptive analysis provides in a comprehensive way education, skills and competencies in humanitarian logistics. The respondents are from different countries and continents as well as from different humanitarian sector, e.g. humanitarian organizations (HOs), logistics service providers, military services and researchers.

In general, the findings of the research paper present valuable insights of mandatory contents of education in humanitarian logistics as well as competencies and skills on different levels based on European Qualification Framework (EQF). This research paper explores these and offers suggestions to improve and promote market and professional competencies and skills for the humanitarian logistics sector and to minimize their impacts.

The field survey was due to access and motivation restriction mainly answered by academics in the field of humanitarian logistics or by leadership personnel with very high academic merits (MA/PhD). Further the objective of this research paper was purposefully limited to describing the education requirements, not gap analysis with existing education offers or development of new curricula content – this should be a task for further research setups.

Specific requirements regarding negotiation and legal competences are named in the survey as well as the objective of specific, country-related adaptions and the time schedule form of education trainings in humanitarian logistics (during a professional career with as much time absent for learning as feasible).

The paper highlights the increasing demand and still existing gap regarding education and training in humanitarian logistics in the field. All included institutions and persons have to re-evaluate their prioritization and budgeting in order to support further education and training for personnel in humanitarian logistics according to the results of the survey and addressing the need of logisticians in the humlog management and operations.

This paper adds to the knowledge about the implications of education and training and measurement of skills and competencies based on EQF for theory and practice. Further the humanitarian logistics community requires rudimentary humanitarian logistics education to enhance the logistics operation in case of disaster toward the affected people.

The purpose of this paper is to identify the value of fourth-party logistics (4PL) services in a humanitarian supply chain. Furthermore, it shows a framework for a fourth-party humanitarian logistics concept.

The research paper presents a framework of fourth-party humanitarian logistics based on the four core components described by Christopher (2005) which was evaluated with a nonlinear approach called analytical hierarchy process (AHP). The AHP method explores qualitative and quantitative decision-making criteria in case of solving multi-attribute and complex problems. In total, seven experts from academia and practice have contributed to this research, resulting in a better understanding of the decisive needs of humanitarian supply chain actors for implementing and integrating a 4PL concept.

The research shows an increased value for humanitarian supply chain actors of establishing a 4PL concept. The results present a positive influence of 4PL in complex disasters environments and provide key drivers for increasing and simplifying collaboration between the humanitarian supply chain actors.

Future research has to consider different disaster types and needs to further emphasize the added value for beneficiaries of implementing a 4PL concept in a humanitarian supply chain environment. Further research should preferably also consider case studies in order to analyse challenges, drawbacks and benefits of this concept (qualitative and quantitative factors) in a real-life humanitarian supply chain setting.

The research offers managerial insights into the use of a 4PL concept in the humanitarian supply chain environment to improve efficiency due to an improved collaboration between the humanitarian supply chain actors.

The research paper investigates an under-researched topic in the humanitarian supply chain environment. For humanitarian supply chain actors outsourcing their activities to a 4PL service provider could secure collaboration, increase service levels as well as efficiency and therefore create additional value.

The purpose of this paper is to provide a system for the performance evaluation of humanitarian supply chains. The system will help humanitarian organizations (HOs) to make better decisions, improve their performance, and provide accountability, as well as helping them measure their operational performance during disaster response and reconstruction projects.

A holistic and implementable performance measurement system was developed to measure the operational performance of HOs during disaster response and reconstruction projects. The system is divided into five categories with several key performance indicators (KPIs) being identified for each; identifiers are qualitative and quantitative, as well as financial and non-financial.

Empirical testing of the system demonstrated the low use of existing performance indicators in humanitarian supply chains and the possible added value for HOs to improve their operational efficiency.

The performance measurement system could help HOs improve their operations and resource allocation.

The paper is one of the first research contributions in which a sample of developed KPIs is empirically tested in various HOs. Prior to this paper, a limited number of articles examined the performance of HOs, and no defined system of KPIs existed. By analyzing real results in the field of the humanitarian projects and applying the proposed performance measurement system, it will be possible to define a set of best approaches to improve the effectiveness and efficiency of humanitarian supply chains.

This paper aims to identify the state of the art of performance measurement and management in humanitarian supply chains; to categorize performance measurement indicators in the five supply chain phases of Gunasekaran and Kobu (2007) and evaluate them based on the evaluation criteria of Caplice and Sheffi (1995); and to define gaps and challenges in this field and give insights for future research in this domain.

A literature review has been conducted using a structured method based on Denyer and Tranfield (2009) and Rousseau et al. (2008). The state of the art on humanitarian supply chain performance management with a focus on measurement frameworks and indicators and their applications in practice is classified in three categories. The first category is the definition and measurement of success in humanitarian supply chains. The second category is managing performance, which focuses on describing and analyzing the actual practice of managing performance. The third category shows the challenges in performance management that humanitarian supply chain actors deal with.

Findings reveal that performance measurement and management in humanitarian supply chains is still an open area of research, especially compared to the commercial supply chain sector. Furthermore, the research indicates that performance measurement and management in humanitarian supply chains has to be developed in support of the supply chain strategy. Based on the findings of the literature review on performance measurement and management in the commercial and humanitarian field, a first classification of 94 performance measurement indicators in humanitarian supply chains is presented. Furthermore, the paper shows key problems why performance measurement and management systems have not been widely developed and systematically implemented in humanitarian supply chains and are not part of the supply chain strategy. The authors propose performance measurement guidelines that include input and output criteria. They develop a research agenda that focuses on four research questions for designing, deploying and disseminating performance measurement and management in humanitarian supply chains.

The result helps the humanitarian supply chain community to conduct further research in this area and to develop performance measurement frameworks and indicators that suit humanitarian supply chains.

It is the first systematic approach to categorize research output regarding performance measurement and management in humanitarian supply chains. The paper shows the state of the art in performance measurement and management in humanitarian supply chains and develops a research agenda.

The purpose of this paper is to analyze how far technology and information enable, facilitate or support the planning and implementation decisions in humanitarian vaccine cold chains for vaccination campaigns. The authors specifically focus on three emerging technologies that have the potential to create more flexible conditions in the field, and identify the need to further explore the link between uncertainty, information and irreversibility.

The authors present a basic structure for the analysis of cold chain disruptions in terms of three distinct yet connected layers of deficient infrastructure and capacity, information gaps and failures in decision making. The authors then review three humanitarian technologies and their impact on vaccine campaigns along these layers. From there, a research agenda is developed to address research gaps this review brought forward.

Three critical research gaps in the areas of technology innovation for humanitarian vaccine cold chain management are presented. The authors argue that technology to improve capacity, information and decisions need to be aligned, and that the areas of uncertainty, information and irreversibility require further investigation to achieve this alignment. In this way, the paper contributes to setting the research agenda on vaccine cold chains and connects humanitarian logistics to technology, information management and decision making.

This paper presents the humanitarian vaccine cold chain problem from an original angle by illuminating the implications of technology and information on the decisions made during the planning and implementation phases of a vaccine campaign. The authors develop an agenda to provide researchers and humanitarians with a perspective to improve cold chain planning and implementation at the intersection of technology, information and decisions.

In a volatile marketplace, warehouse management is fundamentally contingent of changes in its supply network environment. Flexibility is therefore a key logistics issue in distribution centre management. This study probes into the nature of warehouse flexibility in a supply network through simulation.

By using the FlexSim simulation tool the dynamic behaviour of the warehouse system are conceptualised, documented, simulated, analysed and evaluated.

Simulation revealed that external changes affect daily processes and the reorganisation of warehouse processes. Given the extensity of resource use, simulation also revealed that process reorganisation should not be a daily undertaking. This is because warehouse processes react in unpredictable and different manners to even the smallest disturbance from the environment. This reaction is not necessarily negative impending more long-term change of warehouse processes.

The warehouse is a complex system that self-adapts with limited need to calculate new optimised warehouse processes to counter changes in its environment. Rather than following deterministic optimisation procedures, the development of flexible resources is a key issue in warehouse management. The applied simulation model is generic and therefore applicable in other distribution centres pointing to how to monitor warehouse processes to in a pre-emptively develop warehouse flexibility through change of process context.