Search results

Urban logistics pooling is seen as a serious alternative to imposed urban consolidation centers. However, such strategies are quite new in urban distribution and merit to be evaluated using adapted methods that take into account the group decision nature of resource pooling. This chapter aims to propose, via an experimental collaborative decision support method, to define a grid of indicators and a reference situation database to measure the sustainable performance of urban logistics pooling systems.

The proposed methodology combines a systematic literature analysis of Key Performance Indicators and a group decision support method to choose a suitable set to define a dashboard. First, we identify the main sustainability indicators from an overview of the literature, and class them into the categories of the 4As Sustainable Transport vision (i.e., Awareness, Act and shift, Avoidance, and Anticipation). Then, a group of 20 experts is solicited for an iterative experimental group decision-making method to converge to the concordance of a set of indicators.

The method allowed us to define a hierarchic dashboard agreed by all experts with seven main indicators and nine secondary indicators. Moreover, the experts signaled the need of defining a unified basis of comparison to estimate initial situations. To do this, we proposed a database of urban routes from the French Surveys on Urban Goods Transport.

The proposed dashboard is an example, and to provide a more unified one, the experience has to be iterated using different groups of decision-makers.

This method has the advantage of proposing a dashboard agreed by all involved stakeholders. Therefore, this chapter shows the patterns to reproduce it since the method is able to be replicated in any context of group decision in urban logistics.

The originality of the chapter arises on the use of an experimental group decision method using a group with a majority of practitioners, and to validate it by consensus.

The field of Supply Chain Management (SCM) has mainly focused on applications for large firms, where significant amount of theory has been developed in the last decades. Little attention has been received by micro and small enterprises (MSEs) that in Latin America represent approximately 99% of all businesses and are the key for the development of the economy, employment, and growth of the region. Due to MSEs' lack of productivity, only a fraction of them survive and thus contribute to Latin America's economic growth. In this chapter, we discuss the connection between MSEs' productivity growth and SCM. We present key takeaways from the literature and summarized different research approaches used to study this emerging field, specifically related to the impact of the size of the company, the use of surveys to gather data, and the importance of field interventions. We also present a large-scale project (i.e., MIT GeneSys) that focuses on improving survival of MSEs in developing countries and discuss some preliminary learnings gained via conducting shadowing/immersion of ∼250 MSEs from Mexico, Colombia, Chile, Ecuador, Peru, and Bolivia. We conclude the chapter by presenting some recommendations for the future research agenda for the emerging field of SCM for MSEs in Latin America.

Globally, environmental concerns affect all aspects of human activity, and the economy for environmentally and socially aware goods and services is expanding. Entrepreneurs today are adapting their business practices to address new environmental problems or other environmental risks impacting their business. To bring about the transformation towards green economic systems, all green entrepreneurs are encouraged. Evidence from around the world shows that people's concerns for the environment are growing, and they are constantly adapting their behaviour to reflect these concerns. The objectives of the study were to assess the prevalence of green business practices among SMEs and also identify the elements that support these practices in Karachi, Pakistan. The study used a descriptive questionnaire as its research methodology. Self-completed questionnaires were used to collect primary data. The conclusions of the article stated that SMEs were using green business practices in their business areas. This can be explained by the great appreciation for green entrepreneurship in Pakistan. The variables that influence green entrepreneurship have been found to have different effects in practice. Stakeholders were advised to develop initiatives to promote adoption and use by most entities, including SMEs, as green business practices by SMEs in Karachi were still in their infancy. Through relevant authorities and green entrepreneurship, shareholders should lobby to provide them with a stronger negotiating strategy with other stakeholders. This study has some limitations. They study law in Karachi. Results are based on scenario-based surveys and methods and their applicability in a more complex relationship between green entrepreneurship practices and the performance of small- and medium-sized businesses.