With the evolution of Industry 4.0, some problems related to inefficient digitalization become clearer in organizations. To minimize these problems, implementation of the lean philosophy is needed in the digital environment. However, before Lean can start to solve the digitalization problems, there is a need to digitalize its tools so that they can comprehend the Industry 4.0 dynamics and become more effective. The aim of this study is to contribute to the theoretical development of Lean tools in the context of Industry 4.0, promoting directions for the industrial sector from the evolution, difficulties, benefits, implementation and trends of Lean 4.0 tools. To achieve this objective, this study performs a systematic literature review and content analysis of 53 papers from 35 journals. The main results of the research show: (i) the characterization of the Lean 4.0 tools; (ii) the evolution of the Lean tools after the integration with digital technologies; (iii) the main trends of Lean 4.0; (iv) the proposal of a Lean 4.0 theoretical framework. From these results, this paper seeks to promote insights for studies in the area of Lean 4.0, as well as for companies to implement and use the Lean 4.0 tools for better improvement in their digital processes and avoid the digital waste.

O aumento no número das publicações científicas torna o trabalho dos pesquisadores cada vez mais complexo e extenso no que se refere à seleção de material bibliográfico para o embasamento da pesquisa. Esta é uma tarefa que consome tempo e requer critérios adequados para selecionar efetivamente os trabalhos mais relevantes. O objetivo deste trabalho é apresentar uma revisão sistemática de literatura sobre o tema Modelos de Transferencia de Tecnologia, utilizando a Methodi Ordinatio, metodologia de revisão sistemática que orienta a busca, seleção, coleta e classificação de artigos científicos, tendo as TICs como suporte, com alguns melhoramentos aplicados, como o uso do JabRef para coletar os dados dos artigos científicos. O que difere a Methodi Ordinatio das outras metodologias de revisão sistemática é a utilização da equação InOrdinatio, que permite classificar os artigos quanto à sua relevância científica. A equação trabalha com os três fatores mais importantes em um artigo científico: o fator de impacto, o ano da publicação da pesquisa e o número de citações. Com o objetivo de demonstrar a dinâmica da metodologia, apresenta-se uma pesquisa com o tema Modelos de Transferencia de Tecnologia (MTT), compreendendo trabalhos de 1990 a 2015. Os resultados indicam que a metodologia é eficaz em relação aos objetivos a que se propõe, e os trabalhos mais relevantes sobre MTT são utilizados para construir o cenário neste tema.

Purpose: The goal of this research is to establish which contextual factors influence the selection of relational governance instruments in supply chains (SCs) and how these factors impact the expected performance.Design/methodology/approach: A systematic literature review (SLR) identified 103 conceptual, empirical and analytical studies between 2007 and 2017.Findings: A conceptual framework is developed from the categorization of contextual factors, relational governance instruments and expected SC performance. The conceptual framework provides three propositions: (1) The choice for relational governance instrument is influenced differently by the contextual factors; (2) the impact that the contextual factors have on the governance instruments and SC performance is mediated by trust; (3) The SC performance is affected differently by the instruments of flexibility, solidarity and information sharing.Practical implications: The findings of this research can help business managers better govern and know the contextual factors and use different relational governance instruments and trust dimensions to drive the expected results of the SC.Originality/value: The synthesis reveals contingencies of relational governance instruments in SCs for performance expected in different contexts and proposes a standpoint for further research in the area.