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Short food supply chains have the potential to facilitate the transition to more sustainable food systems. Related distribution processes, however, can be challenging for smallholder and family farmers. To extend the market reach of farmers without the need for extensive investments, crowd logistics (CL) can be used. The purpose of this paper is to explore the benefits and trade-offs of implementing CL platforms in short food supply chains (SFSCs).

A decision support system (DSS) based on agent-based and discrete event simulation (DES) modelling is developed, which closely approximates the behaviour of customers and distribution processes at outlets. Different scenarios are explored to evaluate the potential of CL in rural and urban settings using the example of regions from Bavaria, Germany.

Results show that CL can be used to increase the reach of farmers in SFSCs at the cost of minor food quality losses. Moreover, a difference between urban and rural settings is noted: An urban scenario requires less investment in the driver base, whereas the rural scenario shows a higher potential to increase market reach.

Platform-based food delivery services are still mostly unexplored in the context of SFSCs. This research shows that platform services such as CL can be used to support local agriculture and facilitate the distribution of perishable food items, introducing a simulation-based DSS and providing detailed results on various application settings; this research serves as a steppingstone to facilitate successful real-world implementations and encourage further research.

Performance-based contracting (PBC) links pricing with performance objectives in service business relationships. Although interest in PBC has surged recently, there is still great uncertainty about the risks, opportunities and challenges. This paper aims to provide a deeper understanding of the contextual factors of PBC and how providers assess them.

This paper includes conducting a multiple-case study evaluation and analyzes data from 21 cases. Risks, opportunities and contextual factors are identified through interviews, and the case data are analyzed with several methods, including Borda count and cross-tabulation.

The results show that the most important factors of PBC are clear responsibilities, clear performance indicators, transparent measurement, cooperative culture and a precise utilization profile of core assets. Surprisingly, incentives are of minor perceived relevance. The analysis supports the differentiation of PBC into two subcategories: lean (low integrated) and customized (high integrated) PBC.

While many studies stress the uniqueness of PBC in accordance with the “one-size-does-not-fit-all” mantra, this research differentiates the standardized PBC from a customized one. The findings face the limitations of case study research and qualitative data analysis in general.

Practitioners are provided with guidance to develop either a customized or a standardized PBC.

Previously, broader empirical insights have still been rare; thus, this paper contributes to the PBC literature, as it provides data from multiple cross-industry cases. The findings (e.g. the minor relevance of incentives) stand in contrast to parts of the academic literature and contribute also to the wider service management field.

We analyze the effectiveness of public works programs (PWP, Arbeits-beschaffungsmaßnahmen) in Eastern Germany as measured by their effects on individual future re-employment probabilities in regular jobs. These are estimated by discrete hazard rate models on the basis of individual-level panel data. We account for unobserved individual heterogeneity in both the PWP participation and in the outcome equations. We also test for selection on unobservables.

We find that public works programs seem to have no special targeting focus on disadvantaged groups in the labor market and that participants are, on average, worse off concerning their re-employment prospects in regular jobs than unemployed people who do not join such a program. A possible explanation for this result is that PWP participants search less intensively for a regular job while on such a program than unemployed non-participants.

The study aims to examine social-psychological beliefs and personality traits and their linkage with driver predispositions and road safety behaviour grounded on notions derived from an integration of the health belief model (HBM) and the theory of planned behaviour (TPB) in social marketing.

The study used a cross-sectional survey to gather data from 587 licenced drivers in 3 major urban settlements in Ghana. The theoretical model was tested by using covariance-based structural equation modelling.

The study finds that the effects of perceived benefits, perceived behavioural control, social norms and cues to action on road safety behaviour are direct; the effects of perceived susceptibility, severity and barriers on road safety behaviour are fully mediated by driver attitude towards safe driving. Some of these effects were moderated by conscientiousness and neuroticism.

The findings offer empirical grounds for the development of evidence-based social marketing interventions that leverage efficacy-centred messages, social influence through community-based approaches, informational cues with consistent education and are tailored to the personality traits of drivers with the aim of inducing wilful on-road safety behaviour towards achieving sustainable road safety culture.

This study extends the integrative applicability of the HBM and TPB in understanding road safety behaviour and establishes attitude as a vital facilitator, and personality traits as moderators of the belief-preventive behaviour linkage within a developing country context. It contributes towards the use of theory-based outcomes to enhance the efficacy of social marketing road safety campaigns.