Title: A multi-criteria decision making approach for prioritising product-service systems implementation in smart cities

Authors: Alice Rondini; Alexandra Lagorio; Roberto Pinto; Giuditta Pezzotta

Addresses: Department of Management, Information and Production Engineering, University of Bergamo, via G. Marconi, 5 24044, Dalmine - Italy ' Department of Management, Information and Production Engineering, University of Bergamo, via G. Marconi, 5 24044, Dalmine - Italy ' Department of Management, Information and Production Engineering, University of Bergamo, via G. Marconi, 5 24044, Dalmine - Italy ' Department of Management, Information and Production Engineering, University of Bergamo, via G. Marconi, 5 24044, Dalmine - Italy

Abstract: The latest economic and environmental changes together with the development of technology, fostered interest in 'smart cities' and smart city product-service system (SCPSS): bundle of products and services aimed at fuelling sustainable economic growth with a wise management of resources. Since budget constraint prevents a massive implementation of all the possible SCPSS, this paper expands the engineering value assessment (EVA) method and adopt it to assess and prioritise SCPSS from three perspectives: 1) the municipality; 2) the citizens; 3) other stakeholders. EVA method is based on two steps, and for each of them proposes a MCDM method. The contribution of this study is twofold: first, it complements the EVA method with the definition of specific evaluation criteria for external stakeholder that play a crucial role into the smart city paradigm; second, it describes the application of the method for the selection and prioritisation of SCPSS in Bergamo.

Keywords: product service system; multi-criteria decision making; MCDM; smart city; sustainability; TOPSIS; IPA; EVA method; Pugh matrix.

DOI: 10.1504/IJMDM.2018.095729

International Journal of Management and Decision Making, 2018 Vol.17 No.4, pp.415 - 446

Received: 28 Dec 2017
Accepted: 31 Mar 2018
Published online: 18 Oct 2018 *

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