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An Environmentally Conscious PSS Recommendation Method based on Users’ Vague Ratings: A Rough Multi-Criteria Approach
Beihang University, Beijing, China; Ministry of Education, Beijing, China.
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5991-5542
2017 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 172, 1592-1606 p.Article in journal (Refereed) Published
Abstract [en]

Many manufacturers are today striving to offer a large number of value-addedPSSs (Product-Service Systems). The increased number of PSS hinders potential buyers fromeffectively discovering the most suitable PSS to satisfy their personalized requirements. Toaccurately find the needed or wanted PSS with lower search costs, it is effective torecommend suitable PSS solutions to the right buyers. However, service, a component of PSS,brings more subjective and imprecise information in acquiring users' preferences due to e.g.their different experience and knowledge on services. Moreover, the interactions withinuser’s preferences are often omitted in previous methods, which may lead to inaccuraterecommendation results. Therefore, to solve these problems, an innovative method for PSSrecommendation is developed. This method explicitly takes into account the environmentalaspect of PSSs in question so that a method user can be guided to select an environmentallysuperior alternative. In addition, rough DEMATEL (Decision-Making and Trial EvaluationLaboratory) is proposed to manipulate the interactions of vague user preferences inmulti-criteria weight determination. Furthermore, a rough collaborative filtering approach isdeveloped to make PSS recommendation under vague environment. A case study of elevatorPSS recommendation shows the feasibility and potentials of the proposed approach.Theoretically, the new method can produce more reasonable PSS recommendation results byconsidering the interdependencies between different recommendation criteria. In marketingpractice, the method can suggest proposals of new offerings to customers in a proactivemanner.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 172, 1592-1606 p.
Keyword [en]
Product-Service System, Personalization, Recommendation, Search cost, DEMATEL
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-142359DOI: 10.1016/j.jclepro.2017.10.092OAI: oai:DiVA.org:liu-142359DiVA: diva2:1153210
Projects
Mistra REES
Funder
Mistra - The Swedish Foundation for Strategic Environmental Research, 2014/16
Available from: 2017-10-28 Created: 2017-10-28 Last updated: 2017-12-01

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The full text will be freely available from 2019-10-09 11:55
Available from 2019-10-09 11:55

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