As the term “smart city” gains wider and wider currency, there is still confusion about what a smart city is, especially since several similar terms are often used interchangeably. This paper aims to clarify the meaning of the word “smart” in the context of cities through an approach based on an in-depth literature review of relevant studies as well as official documents of international institutions. It also identifies the main dimensions and elements characterizing a smart city. The different metrics of urban smartness are reviewed to show the need for a shared definition of what constitutes a smart city, what are its features, and how it performs in comparison to traditional cities. Furthermore, performance measures and initiatives in a few smart cities are identified.

Smart Cities: Definitions, Dimensions, Performance, and Initiatives

Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities

What are the differences between sustainable and smart cities

Smart sustainable cities of the future: An extensive interdisciplinary literature review

This article is focused on the importance and influence of Industry 4.0 and consequently the Internet-connected technologies for the creation of value added for organizations and society. The contribution of the article is mainly conceptual. With the development of the Internet, the Internet of things that is central to the new industrial revolution has led to “Industry 4.0.” The aim of this article is to synthesize the known theory and practices of Industry 4.0, and to investigate the changes that will result from Industry 4.0 and with the development of the Internet of things.

https://journals.sagepub.com/doi/pdf/10.1177/2158244016653987

A Complex View of Industry 4.0

https://iris.polito.it/bitstream/11583/2522888/1/SmartCity_Trends_%20paper.pdf

Current trends in Smart City initiatives: some stylised facts

City logistics proposes an integrated vision of freight transportation systems within urban area and it aims at the optimization of them as a whole in terms of efficiency, security, safety, viability and environmental sustainability. Recently, this perspective has been extended by the Smart City concept in order to include other aspects of city management: building, energy, environment, government, living, mobility, education, health and so on. At the best of our knowledge, a classification of Smart City Projects has not been created yet. This paper introduces such a classification, highlighting success factors and analyzing new trends in Smart City.

A New Taxonomy of Smart City Projects

https://iris.polito.it/bitstream/11583/2522516/1/TimurDeMarco_IJPM_PostPrint.pdf

An Earned Schedule-based regression model to improve cost estimate at completion

Using System Dynamics to Assess the Impact of RFID Technology on Retail Operations

Despite the increasing attention that supply chain risk management is receiving by both researchers and practitioners, companies still lack a risk culture. Moreover, risk management approaches are either too general or require pieces of information not regularly recorded by organisations. This work develops a risk identification and analysis methodology that integrates widely adopted supply chain and risk management tools. In particular, process analysis is performed by means of the standard framework provided by the Supply Chain Operations Reference Model, the risk identification and analysis tasks are accomplished by applying the Risk Breakdown Structure and the Risk Breakdown Matrix, and the effects of risk occurrence on activities are assessed by indicators that are already measured by companies in order to monitor their performances. In such a way, the framework contributes to increase companies’ awareness and communication about risk, which are essential components of the management of modern supply...

/pdf/an-integrated-approach-to-supply-chain-risk-analysis-3842ry5hff.pdf

Alberto De Marco

Papers

Current trends in Smart City initiatives: some stylised facts

A New Taxonomy of Smart City Projects

An Earned Schedule-based regression model to improve cost estimate at completion

Using System Dynamics to Assess the Impact of RFID Technology on Retail Operations

An integrated approach to supply chain risk analysis