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      A systematic review of passive energy consumption optimisation strategy selection for buildings through multiple criteria decision-making techniques

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      Renewable and Sustainable Energy Reviews
      Elsevier BV

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          Best-worst multi-criteria decision-making method

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            Beyond PICO: the SPIDER tool for qualitative evidence synthesis.

            Standardized systematic search strategies facilitate rigor in research. Current search tools focus on retrieval of quantitative research. In this article we address issues relating to using existing search strategy tools, most typically the PICO (Population, Intervention, Comparison, Outcome) formulation for defining key elements of a review question, when searching for qualitative and mixed methods research studies. An alternative search strategy tool for qualitative/mixed methods research is outlined: SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type). We used both the SPIDER and PICO search strategy tools with a qualitative research question. We have used the SPIDER tool to advance thinking beyond PICO in its suitable application to qualitative and mixed methods research. However, we have highlighted once more the need for improved indexing of qualitative articles in databases. To constitute a viable alternative to PICO, SPIDER needs to be refined and tested on a wider range of topics.
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              A state-of the-art survey of TOPSIS applications

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Renewable and Sustainable Energy Reviews
                Renewable and Sustainable Energy Reviews
                Elsevier BV
                13640321
                January 2023
                January 2023
                : 171
                : 113013
                Article
                10.1016/j.rser.2022.113013
                e9041ae2-736f-48ac-a0b1-8c8d78ec4c47
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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