SynthesisFrontiers in artificial intelligence2025
A systematic literature review on the use of multicriteria decision making methods for small and medium-sized enterprises innovation assessment.
Synthesis in Frontiers in artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Advanced gravitational decision-making method inspired by newton's law of universal gravitation.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multi-criteria decision making (MCDM) methods are essential tools for assessing multiple factors in various contexts, including innovation in small and medium-sized enterprises (SMEs). In this study, a systematic literature review (SLR) was conducted based on a literature search in Web of Science, Scopus and Google Scholar, covering the period 2018-2024, taking as a basis the general guidelines and main phases of an SLR, in addition, the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) method was used, which allowed the selection of 25 relevant articles. From the analysis, four main trends in innovation assessment were identified: Innovation Capacity and Business Strategies, Open Innovation, Evaluation and Management, Technological and Digital Innovation, and Green Innovation and Sustainability. The results indicate that India and China are the countries with the highest volume of publications on this topic, while the business and academic sectors are the most studied, followed by the social sector. In addition, other key factors assessed in SMEs using MCDM methods were identified, grouped into five main themes including industry 4.0 and digital transformation, sustainability and green manufacturing, risk management and business resilience, decision making in trade and markets, and business management strategies and technology selection, broken down into 11 specific approaches. The review shows that assessing innovation in SMEs requires a multidisciplinary and collaborative approach tailored to business needs. It also shows a preference for fuzzy tools and the combination of different MCDM methods. This article provides an updated diagnosis on the use of multiple criteria in the innovation assessment in SMEs, providing a basis for future research and applications in this field.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.