Sustainability has become a relevant element for organizations due to several motivators: companies adopt sustainability practices in need for regulatory compliance, anticipation of regulatory changes, understanding of limited natural resources, and a desire to limit expenditure associated with resource consumption and waste disposal. Thus, this article aims to identify the gaps present in maturity models, present an integrator theoretical model that considers the characteristic elements of the models present in the literature and affects the level of maturity in sustainability. The construction of the integrator theoretical model was based on the following stages: research questions; theoretical framework on Supply Chain Management; sustainability and concept of maturity model; maturity models and performance measurement systems; interpretation/analysis of research; and construction of the integrator theoretical model. The literature review was carried out in the Scopus and Web of Science databases. The main conclusions: maturity models focus on only one aspect or are excessively broad and do not include in detail the elements necessary to measure the level of maturity in sustainability. The proposed model aims to mitigate these gaps with the addition of the cross-sectional dimension, which offers an integrated and holistic view in relation to the other dimensions.

Environmental impacts due to supply chains are seen as a challenge to innovation and criteria for prioritizing the application of organizational resources. In this context, the research question arises: how to build the necessary knowledge about supply chain performance indicators in sustainability, systematizing in an evaluation process integrated with the organizational results? The general objective of this research is to build an integrated system of sustainability performance analysis of the supply chain. In order to achieve the general objective, the specific objectives are the following: (i) selection of the bibliographic portfolio and (ii) analysis of articles content. The exploratory-descriptive research method presents and illustrates a structured process for the selection of scientific articles on supply chain performance indicators in the sustainability context. The method identified the most important keywords and the main databases of full texts and abstracts aligned with the topic. An important review of the literature reveals that efforts to improve or influence the practice of sustainability in the supply chain raise critical questions about the transaction costs and effectiveness of the approach. The review promoted the development of a system of indicators inspired by the Balanced ScorCard (BSC) to address sustainability performance issues. The originality or value lies on the useful for managers throughout the supply chain. It was identified in the literature that supply chains still generate significant environmental impacts, social impacts, and use of natural resources, even though they individually present statements in their strategies and accountability indicating the priority regarding the mitigation of social, environmental, and economic impacts. Another finding is that it is not just a matter of complying with legal and institutional frameworks. The scientific literature defines the need to prioritize studies on Green Supply Chain Management (GSCM), which helps organizations in the production chain to achieve competitiveness and at the same time emphasize the reduction of social risks and environmental impacts. The main findings of the paper are related to the possibility of interfacing the dimensions present in TBL with performance measurement in a supply chain.

Patenting software is a discussion not addressed in scientific academy regarding its context: aligning registers as copyright or as a patent, provoking standardisation and better understandings for improving production chains in economic sectors. This article analyses how patenting software is discussed in a scientific academy, reviewing article profiles in academic productions about this theme. Considering patenting software is an intellectual property, the article restricted the research to only software rights. The systematic literature review methodology was adapted from other authors' analysis process in the information technology areas. The results were shown via quantitative and qualitative study, analysing economic sectors innovation issues, regarding patenting software were discussed.

A teoria das restrições: uma revisão sistemática na base spell / The theory of constraints: a systematic review in the spell base

A relação entre a gestão do conhecimento e a logística: fatores relevantes e novas perspectivas com base na logística 4.0 / The relationship between knowledge management and logistics: relevant and new perspective factors based on logistics 4.0

Purpose: Existing sustainable supply chain management (SSCM) maturity models remain fragmented and predominantly diagnostic, offering limited guidance for prioritizing improvements across interdependent sustainability dimensions. This study aims to develop an integrated diagnostic–prescriptive maturity model to support the sustainable and digital path (twin transition) in supply chains by combining sustainability assessment, Industry 5.0-oriented human-centric digitalization, operational excellence and the Sustainable Development Goals (SDGs). The model is particularly relevant to Ibero-American supply chains operating under resource constraints, institutional heterogeneity and increasing pressure to align digital transformation with sustainability priorities. Design/methodology/approach: Following design science research, a systematic literature review identified 26 maturity models, which were examined through qualitative content analysis to reveal structural gaps and derive the artifact’s design requirements. The model integrates 187 variables across 4 dimensions and 13 subdimensions. It was refined and validated through a two-round Fuzzy Delphi process involving 15 experts from five Ibero-American countries. A group-based ordinal multicriteria method was embedded to aggregate stakeholders’ linguistic judgments into a consensus ranking of improvement priorities. An illustrative application demonstrated its use. Findings: The model assesses environmental, social, economic and transversal maturity while translating identified gaps into ranked improvement priorities and a strategic roadmap. Digital technologies, including the Internet of Things, cyber-physical systems and big data analytics, are framed as sociotechnical enablers of transparency, traceability and responsiveness. The model therefore supports the assessment of Industry 5.0, Operational Excellence 5.0 and SDG-oriented improvement efforts. Originality/value: This study combines sustainability assessment, human-centric digitalization and multicriteria prioritization within a single maturity artifact. By moving beyond diagnosis toward collective, context-sensitive prioritization, it provides decision support for the twin transition, while large-scale applications remain necessary to confirm usability and performance benefits.