Many innovative technologies have been successfully adopted in logistics and supply chain management processes to increase efficiency, reduce costs or enhance communication. In recent years, considerable attention from both practitioners and academics has been focused on evaluating the impacts of innovative technologies adoption. However, the current body of literature on technology adoption, implementation and evaluation in logistics is quite fragmented; thus, an updated and structured overview of the scientific literature in this field might be useful. To this end, this work presents a systematic literature review (SLR) that aims to increase the understanding of the trend toward new technologies in logistics and identify the main research trends and gaps. The principal research trends that emerged from the SLR involve the technologies, their evolution over time and their relationships with the research methodologies. The main literature gaps concern integration and communication, technology-adoption processes and differences between inbound and outbound logistics.

Nowadays we are experiencing a shift of paradigm from ownership of goods to sharing goods and experiences. The "sharing economy" paradigm will change the way people experience everyday life in many sectors. In this paper we are focusing on the urban transportation experience presenting a user centric design of an experimental dynamic ridesharing service for Italian users, called VirtualBus [1]. The proposed service is based on a mobile application that allows people to get arrangement in real time for sharing car rides in an urban area, both as "driver" or "passenger". A smart matching algorithm will provide, within a short time, the best matching between the driver and the passenger learning from users' feedbacks and improving its suggestions overtime to better fulfill users' expectations. The service was designed, prototyped and tested involving users in every step, starting from a vision board with the target Personas. Then, a first raw prototype of the mobile application was designed and tested during specific focus group sessions. During the focus groups users highlighted both the importance of defining rewarding and payment rules and some concerns about privacy and reliability of drivers and passengers. Moreover, a large scale questionnaire, with more than 500 respondents, was distributed with the focus on two big Italian cities, Turin and Rome. The questionnaire analysis gave many interesting insights about the city commuting habits and its results were used to enrich the previously designed Personas with the aim of enhancing real users' scenarios. Next steps will involve real users on selected cities as a test-bed of both the technical solution and the users' acceptability of a new way of experiencing the urban commutin

Urban freight distribution accounts for a significant share of pollution and congestion in urban areas. To reduce these negative impacts, municipalities have implemented several City Logistics (CL) measures. This paper presents the empirical analysis of a dataset of 70 European cities that have been piloting or rolling out a CL measure, to provide an updated indication of the status of CL initiatives and analyse the diffusion of CL internationally. The research objective is also to help understand the contextual factors might explain their introduction. To this end, a set of City Logistics Indices (CLI) is used as indicators of the breadth and number of CL measures implemented in a city. A statistical correlation of these CLIs with respect to a set of independent variables, namely the contextual factors, is also performed. Results reveal that the level of pollution, the diffusion of e-commerce and GDP are important drivers of CL deployment

Automated storage and retrieval systems have become increasingly popular in modern supply chains due to their significant advantages over traditional warehousing systems. Due to the high complexity of these systems, simulation approaches can be used to generate accurate performance measures for a specific system configuration. Simulation models are also the cornerstone of digital twins, one of the latest technological innovations that can further improve warehouse operations. Therefore, the aim of this research is to describe an approach for the development of a discrete event simulation model of an automated storage and retrieval system with a perspective towards the implementation of a digital twin. To be consistent with the objectives of the digital twin, the proposed model represents both the physical system and the overarching information technology architecture, such as the warehouse management system and the warehouse control system. In addition, this paper describes a methodology to validate such a simulation model by setting up an experimental campaign based on the principles of design of experiment. The experiments conducted in a logistics laboratory were used to iteratively calibrate the model until its performance accurately reflected the functioning of the real system. The results obtained demonstrate the effectiveness of the proposed method. Finally, this work contributes to the literature on warehouse digital twins by highlighting new variables to be considered when defining travel time models and their stochastic nature.