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

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2018 Italy Publisher:Inderscience PublishersJournal:International Journal of Management and Decision Making, volume 17, page 415 (issn: 1462-4621, eissn: 1741-5187,

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

doi: 10.1504/ijmdm.2018.095729

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

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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.

Country

Italy

Related Organizations

University of Bergamo
Italy

Keywords

Smart city, Pugh matrix, EVA method, Product service system, Multi-criteria decision making, Sustainability, Decision Sciences (all), IPA, Settore ING-IND/17 - Impianti Industriali Meccanici, EVA method; IPA; MCDM; Multi-criteria decision making; Product service system; Pugh matrix; Smart city; Sustainability; TOPSIS; Decision Sciences (all), TOPSIS, MCDM

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%