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This paper aims to determine the factors that influence the consumer’s online shopping intention in the current pandemic context (COVID-19). For this purpose, a conceptual model has been developed by introducing the constructs “attitude,” “perceived utility,” “intention” as well as the variable “perceived risk of contagion.”

After collecting data from the questionnaire diffused in Moroccan e-commerce websites, this study used various statistical analyses with the multiple regression model on the SPSS statistical software to confirm or refute the research hypotheses.

The results indicate that attitude and perceived utility positively affect online shopping intention. However, the variable “perceived risk of contagion” has a weak effect on such intention, which can be explained by the period in which the survey was started (a few months after the confinement).

The scientific contribution of this study lies in the insertion of a new factor that will be called “perceived risk of contagion” in the research model. This factor has been inspired by the perceived risk theory of Bauer (1960). Furthermore, all studies dealing with this topic have been carried out in developed countries, such as France, Great Britain, Germany and the USA. For this reason, the researcher believe that it is more appropriate to study the intention to buy online during the COVID-19 pandemic in one of the developing countries, such as Morocco. This is based on the fact that to develop theories, it is necessary to examine a given problem in several countries. The context plays a determining role in such situations.

In recent years, the concept of logistics clusters has attracted the attention of several researchers and practitioners. It is an agglomeration of different types of companies and operations, notably those providing logistics services, such as supply chain organization, storage and distribution. The paper focuses on this concept by examining the factors influencing LSPs to enter the logistics clusters.

An exploratory qualitative study based on semi-structured interviews was conducted. Regarding the sample size, the author interviewed 31 professionals belonging to logistics clusters located in the Moroccan economic metropolis of Casablanca.

The results show that the cost reduction, the reputation of the cluster, the learning from other LSPs, the communal services, the geographical proximity and the role of public authorities are the main factors impacting the entry of logistics service providers into these clusters.

This theme has never been investigated. Therefore, this research expands the literature review and tries to examine this gap of literature by studying the factors that can affect the adhesion of logistics service providers to these clusters.

In previous years, there has been a peak in deliveries from all sectors. Consequently, the number of transport vehicles on urban roads has also increased. Unsurprisingly, this increase leads to many environmental problems, including increased carbon emissions. This paper attempts to examine this issue by addressing the impact of logistics pooling on the reduction of CO₂ emissions in last-mile logistics. The aim is to see which of the logistics pooling options can minimize more CO₂ emissions and in particular reach the threshold fixed by the Moroccan Agency of Logistics Development which is 30% until 2030.

The author conducted a simulation study. The sample was chosen from the economic pillar of the Moroccan Kingdom, namely Casablanca.

The results indicate that two pooling strategies lead to a higher level of environmental performance compared to the objective set up by the Moroccan Agency of Logistics Development (Direct Upstream and Downstream Transport: 44.39%/Multi-pick Upstream Transport and Multi-drop Downstream Transport: 30.93%). However, the first strategy remains the best one, as it not only minimizes emissions but also reflects the practices already implemented by several carriers and logistics service providers.

Successfully implementing these strategies in Casablanca could serve as a model for other cities facing similar challenges, demonstrating the viability and benefits of logistics pooling. Ultimately, the reduction in CO₂ emissions aligns with global environmental goals, contributing to the fight against climate change and promoting a healthier urban environment for residents. By leveraging simulation technology, Casablanca can make significant strides toward more sustainable and efficient last-mile logistics, setting a precedent for green urban logistics practices.

Given Morocco’s significant geostrategic position, the urban logistics sector plays a crucial role in the development of Arab countries. The findings of this study can offer valuable insights for policymakers aiming to achieve sustainable economic growth. Additionally, to the author’s knowledge, this is the first study to focus on logistics pooling and carbon emissions in Arab nations. The paper further contributes by highlighting important directions for future research.

In recent years, the concept of logistics cluster has attracted the attention of several researchers and practitioners. It is an agglomeration of different types of companies and operations: notably, those providing logistics services, such as supply chain organization, storage and distribution. The paper focuses on this concept by examining the factors influencing logistics service providers (LSPs) to enter the logistics clusters.

An exploratory qualitative study based on semi-structured interviews was conducted. Regarding the sample size, the author interviewed 31 professionals belonging to logistics clusters located in the Moroccan economic metropolis: Casablanca.

The results show that the cost reduction, the reputation of the cluster, the learning from other LSP, the communal services, the geographical proximity, and the role of public authorities are the main factors impacting the entry of LSPs into these clusters.

The findings of this study provide several practical insights for LSPs, government authorities, and cluster managers. For LSPs, understanding the key factors influencing their entry into logistics clusters—such as cost reduction, proximity and the role of public authorities—enables them to make strategic decisions that optimize their operations and enhance competitiveness. For cluster managers, the study highlights the importance of maintaining a strong cluster reputation and fostering collaboration between LSPs to attract new entrants. Finally, public authorities can leverage the insights to design policies that incentivize LSPs to join clusters by providing infrastructure, financial support and governance structures that align with industry needs.

This theme has never been investigated. Therefore, this research expands the literature review and tries to examine this gap of literature by studying the factors that can affect the adhesion of LSPs to these clusters.

The aim of this paper is to identify the impact of logistics performance on consumer satisfaction and store image in the retail context.

The authors conducted a quantitative study with a sample of 201 consumers. The questionnaire is the instrument that was chosen to collect the data. Data processing was carried out using the statistical package for the social science (SPSS). The data analysis was conducted in two phases. The first phase consisted of testing the reliability and validity of the measurement scales. While the second phase of data processing consisted of testing the research hypotheses on the basis of data collected in the field.

The results of this research are as follows: consumer satisfaction positively affects their loyalty to the store. The results also indicate that store image affects the satisfaction of consumers. Indeed, “service quality” is often evaluated as a source of differentiation affecting consumer satisfaction. Concerning the effect of logistics performance on consumer satisfaction, the factor “product availability” was found to be the major factor affecting consumer satisfaction. A lack of logistics performance, in the context of retailing, negatively affects consumer satisfaction. On the other hand, when the consumer gets the right quantities at the right time, this can positively affect his satisfaction.

All studies carried out on this subject have presented an evaluation of the performance measures used in supply chain models. However, the results of these works were different in terms of performance measurement. It is difficult to specify the impact of logistics performance with only two variants (checkout level, and shelf level) in the retail context. Moreover, research related to this field in Morocco remains unexplored. In this context, it is necessary to explore the links between logistics performance, store image and consumer behavioral intentions in the Moroccan retailing context while taking into account three variants of logistics performance, which are: checkout level, shelf level and product disponibility.