Alberto De Marco

Prof. Dr. Alberto De Marco

Department of Management, Politecnico di Torino, 10129 Torino, Italy
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2014 in Cities
Verified
Journal Article
Closed access
PNPaolo Neirotti
Paolo Neirotti
Alberto De MarcoAlberto De Marco
Alberto De Marco
ACAnna Corinna Cagliano
Anna Corinna Cagliano
Giulio ManganoGiulio Mangano
Giulio Mangano
FSFrancesco Scorrano
Francesco Scorrano

1 January 2014 in Transportation Research Procedia
Verified
Journal Article
Open access
Guido PerboliGuido Perboli
Guido Perboli
Alberto De MarcoAlberto De Marco
Alberto De Marco
FPFrancesca Perfetti
Francesca Perfetti
MMMatteo Marone
Matteo Marone
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

9 March 2012 in Journal of Risk Research
Verified
Journal Article
Closed access
ACAnna Corinna Cagliano
Anna Corinna Cagliano
Alberto De MarcoAlberto De Marco
Alberto De Marco
SGSabrina Grimaldi
Sabrina Grimaldi
CRCarlo Rafele
Carlo Rafele
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 chains. A base case has been developed by applying the proposed approach to a hypothetical manufacturing supply chain. An in-depth validation will be carried out to improve the methodology and further demonstrate its benefits and limitations. Future research will extend the framework to include the understanding of the multiple effects of risky events on different processes.

1 August 2014 in International Journal of Project Management
Verified
Journal Article
Open access
TNTimur Narbaev
Timur Narbaev
Alberto De MarcoAlberto De Marco
Alberto De Marco
Traditional Earned Value Management (EVM) index-based methods for Cost Estimate at Completion (CEAC) of an ongoing project have been known for their limitations inherent with both the assumption that past EVM data is the best available information and early-stage unreliability. In an attempt to overcome such limitations, a new CEAC methodology is proposed based on a modified index-based formula predicting expected cost for the remaining work with the Gompertz growth model via nonlinear regression curve fitting. Moreover, the proposed equation accounts for the schedule progress as a factor of cost performance. To this end, it interpolates into its equation an Earned Schedule-based factor indicating expected duration at completion. The proposed model shows itself to be more accurate and precise in all early, middle, and late stage estimates than those of four compared traditional index-based formulae. The developed methodology is a practical tool for Project Managers to better incorporate the progress status into the task of computing CEAC and is a contribution to extending EVM research to better capture the inherent relation between cost and schedule factor

10 January 2022 in Procedia Computer Science
Verified
Journal Article
Open access
FOFilippo Maria Ottaviani
Filippo Maria Ottaviani
Alberto De MarcoAlberto De Marco
Alberto De Marco

24 July 2019 in Construction Management and Economics
Verified
Journal Article
Closed access
TNTimur Narbaev
Timur Narbaev
Alberto De MarcoAlberto De Marco
Alberto De Marco
NONurlan Orazalin
Nurlan Orazalin
Public-private partnerships (PPP) research is very diverse. This field of research covers different topics across multiple disciplines and is disseminated in many journals. This has led to numerous review studies with a single discipline focus that apply mostly subjective or descriptive analyses. With the purpose of providing an integrated overview of all the disciplines that involve PPP and uncovering connections between these, this research provides an extensive PPP literature meta-review that uses objective bibliometric measures on 1970 articles from 773 journals. The methodology involves ranking journals, identifying topical trends over 1989–2018, and clustering the literature to create a PPP knowledge map with associated research domains. The findings reaffirm that PPP is not only a multi-disciplinary research area but also a self-contained meta-discipline that integrates some allied disciplines with their foundational theories. The PPP meta-discipline is largely dominated by Construction Management and Economics (CME), Public Administration and Management, and Transportation Research disciplines, and integrates emerging topics such as sustainability, governance and stakeholders management. This study contributes to the CME scholarly community as it offers the first comprehensive meta-analysis of PPP literature and helps understanding PPP under the lens of a multi-disciplinary perspective.