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Increasing personnel costs and labour shortages have pushed retailers to give increasing attention to their intralogistics operations. We study hybrid order picking systems, in which humans and robots share work time, workspace and objectives and are in permanent contact. This necessitates a collaboration of humans and their mechanical coworkers (cobots).

Through a longitudinal case study on individual-level technology adaption, we accompanied a pilot testing of an industrial truck that automatically follows order pickers in their travel direction. Grounded on empirical field research and a unique large-scale data set comprising N = 2,086,260 storage location visits, where N = 57,239 storage location visits were performed in a hybrid setting and N = 2,029,021 in a manual setting, we applied a multilevel model to estimate the impact of this cobot settings on task performance.

We show that cobot settings can reduce the time required for picking tasks by as much as 33.57%. Furthermore, practical factors such as product weight, pick density and travel distance mitigate this effect, suggesting that cobots are especially beneficial for short-distance orders.

Given that the literature on hybrid order picking systems has primarily applied simulation approaches, the study is among the first to provide empirical evidence from a real-world setting. The results are discussed from the perspective of Industry 5.0 and can prevent managers from making investment decisions into ineffective robotic technology.

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.

Prior literature has widely established that the design of storage locations impacts order picking task performance. The purpose of this study is to investigate the performance impact of unit loads, e.g. pallets or rolling cages, utilized by pickers to pack products after picking them from storage locations.

An empirical analysis of archival data on a manual order picking system for deep-freeze products was performed in cooperation with a German brick-and-mortar retailer. The dataset comprises N = 343,259 storage location visits from 17 order pickers. The analysis was also supported by the development and the results of a batch assignment model that takes unit load selection into account.

The analysis reveals that unit load selection affects order picking task performance. Standardized rolling cages can decrease processing time by up to 8.42% compared to standardized isolated rolling boxes used in cold retail supply chains. Potential cost savings originating from optimal batch assignment range from 1.03% to 39.29%, depending on batch characteristics.

This study contributes to the literature on factors impacting order picking task performance, considering the characteristics of unit loads where products are packed on after they have been picked from the storage locations. In addition, it provides potential task performance improvements in cold retail supply chains.

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.

Universities are expected to operate with high efficiency, with ever-growing expectations from a rising number of stakeholders in society. From a theoretical perspective economic science does provide frameworks and methods in order to tackle this, with the cornerstone of defining efficiency as a simple relation of a quantity of inputs toward a quantity of outputs. For the practice of university management and policy this does not answer the crucial questions of which inputs and which outputs to measure, and how to ensure the quality aspect of such management approaches. Higher education research can contribute to answering these questions. This chapter outlines a sector-specific framework for efficiency analysis and management, including suggestions regarding how to implement efficiency-improving measures in university settings.

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.