Triple Bottom Line impacts of traditional Product-Service Systems models

Myth or truth? A Natural Language Understanding approach

Bibliographic Data

ID11368442
AuthorsDiego Augusto de Jesus Pacheco (0000-0003-4453-7216, Aarhus University, corresponding author), Carla Schewengber Ten Caten (0000-0002-7904-0974, Universidade Federal do Rio Grande do Sul), Carla Schwengber ten Caten, Carlos Fernando Jung (0000-0002-6317-8338), Isaac Pergher (0000-0002-2168-4048, Universidade Federal de Pernambuco), Julian David Hunt (0000-0002-1840-7277, International Institute for Applied Systems Analysis)
Year2022
Volume96
Pages106819
Publication date2022-09-01
Open AccessYes
TypeARTICLE
VenueEnvironmental Impact Assessment Review (JOURNAL)
Journal identifiersISSN: 0195-9255 • E-ISSN: 1873-6432
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.eiar.2022.106819
OpenAlexW4281832993
LanguageEN
Citations received1
References cited69

Currently, there is in the literature a debate concerning the real impact of Product-Service Systems (PSS) models on society. It is now stated that PSS does not necessarily lead to sustainable solutions in practice from a Triple Bottom Line (TBL) perspective. On the other hand, a promising approach, i.e. the Sustainable Product-Service Systems (SPSS) approach, has received attention from scholars within this debate. However, due to the novelty of this discussion, there is insufficient understanding of the synergies and divergences between both approaches regarding the potential to deliver TBL solutions to society. To address these lacks, this study examines the synergies and divergences between PSS and the emerging SPSS to deliver TBL solutions to society. Qualitative and quantitative research approaches were adopted to address the research questions. First, a structured literature review was employed. The literature analysis was segmented into two distinct periods (i.e., first period from 1990 to 2009, and the second period from 2010 to 2021). Next, the Natural Language Understanding (NLU) tools based on Artificial Intelligence (AI) and Neural Networks were applied to analyse the conceptual definitions retrieved from the relevant literature and extract new knowledge regarding both approaches. Third, the patterns of new knowledge were analysed against the literature in the area leading to research findings. Overall, findings indicate that, from a TBL perspective, SPSS is an emerging and promising approach in which the environmental and social dimensions are more salient than in the traditional PSS models. The study also unveils the central concepts related to both approaches in the extant literature. The article extends the current knowledge on PSS and SPSS, guiding the research communities interested in this area and unlocking the present and future challenges towards an effective sustainable-oriented economy. This article is a pioneering study to examine how the PSS and SPSS concepts have advanced towards TBL solutions in society

Knowledge management · Management science · Novelty · Perspective (graphical · Political science · Product (mathematics · Sustainable development · Triple Bottom Line · Computer Science · Engineering · Innovative Approaches in Technology and Social Development · Psychology · Service and Product Innovation · Social Psychology · Sustainable Supply Chain Management · Artificial Intelligence

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