Renewable energy systems (RES) are becoming a strong component of local sustainable innovation strategies. Using a policy mix perspective, this paper investigates innovation policy criteria from municipalities' locational factors, cooperation activities among stakeholders, and local knowledge about RES as antecedents to see how they leverage the development of local RES. We studied these antecedents at a local level by analyzing a sample of 727 middle and large German municipalities using instrumental variables regression. Our results indicate that policymakers should focus on building local knowledge related to RES for local actors and with enhancing publicprivate cooperation activities. However, we did not find that locational factors such as direct incentives and energy and emissions reductions have a direct impact on RES. We suggest that these locational factors can provide indirect support for RES, as a starting point for the implementation of other policy criteria which we investigated in our study. Our findings also indicate greater RES development potential when policymakers adopt a facilitator role and support local innovation networks among different actors rather than keeping RES development activities within the municipality itself. In such an innovation network, stakeholders from nonmunicipality public and private institutions offer additional support to develop a local RES.

Purpose While it is known that digital transformation facilitates data flow in supply chains, its importance on green supply chain management (GSCM) has not been investigated concisely. This paper aims to expand the theory of digital transformation in GSCM by investigating the interconnections between these concepts and providing an integrative view of a smart green supply chain management (Smart GSCM). Design/methodology/approach This adopts a configurational perspective on digital transformation and supply chain management (SCM) to investigate the different dimensions of Smart GSCM and their contribution to green performance. Therefore, this paper analyzes data from 473 manufacturing companies using regression techniques. Findings The results show how smart supply chain contributes to green performance through managing green relationships (external GSCM activities) and establishing green operations (internal GSCM activities). Furthermore, this paper finds partial mediating effects for external and internal GSCM activities on green performance. These findings show that smart supply chain (i.e. digital transformation strategy and front-end technologies, supported by several back-end technologies) is directly associated with higher levels of GSCM. It is specifically associated with one of the internal dimensions of green operations, namely, green purchasing activities. Hence, the findings suggest that digital transformation alone is insufficient to achieve green performance, needing a GSCM configuration to mediate this effect. Practical implications This study calls attention to how managers should integrate these at least three different perspectives of SCM: digital transformation, external relationships and internal operations to increase green performance. Originality/value As the main contribution, this study provides a configurational and holistic understanding of the different dimensions and mechanisms in Smart GSCM.

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Goal: The purpose of this paper is to present an analysis of Industry 4.0 concepts and technologies through the lens of practitioners and scholars with considerable expertise in this field. Design / Methodology / Approach: A qualitative research was conducted based on seven semi-structured interviews guided by an open questionnaire, which was developed with the main goal of understanding the concept of Industry 4.0 and the technologies that compose this industrial phenomenon. Results: Based on this methodology, a cognitive map is presented as the result and final product of this study. This cognitive map is composed of five different clusters, each one represented by different colors, which relate to each of the questions in the questionnaire. Our analysis provides a better understanding of (i) the main concepts of Industry 4.0; (ii) the implementation stages for companies; (iii) the main enabling technologies; (iv) the concept of M2M (machine-to-machine); and (v) the scenario in Brazil. Each one of the clusters enables a discussion by bringing what is in the literature on the topic. Limitations of the investigation: The main limitations of the article are found in the subjectivity of the results and also in the scarcity in the literature related to some topics covered in the clusters. Practical implications: This research can be potentially useful for practitioners, since it sheds light on the Industry 4.0 concept and how technologies are used to integrate processes. Originality / Value: The clusters answers of the cognitive map allowed comparisons with the literature and a discussion about Industry 4.0, making it possible to direct and check gaps in the research.

Este artigo explora os conceitos e tecnologias da Indústria 4.0 ao analisar o modelo de negócios de empresas de pequeno e médio porte do setor metalmecânico brasileiro. O objetivo é identificar o quanto as empresas estão preparadas para a transformação na forma de fornecer serviços e produtos, além de apontar quais tecnologias podem auxiliar no desenvolvimento em direção à Indústria 4.0. Entre os passos metodológicos, estão um questionário aplicado em indústrias do setor metalmecânico e, como resultado, a elaboração de um framework que sintetiza o desenvolvimento tecnológico das empresas e direciona as tecnologias 4.0 que devem ser priorizadas para transpor as dificuldades encontradas nos modelos de negócios. O estudo apontou que tecnologias voltadas para digitalização e integração de processos tendem a oferecer maiores benefícios ao setor e devem ser priorizadas para o desenvolvimento das PMEs.

Paper aims: The objective is to make a comparative analysis between different transportation modes used in the Metropolitan Region of Porto Alegre and to analyze its performance in relation to time, cost and carbon emissions. Originality: Investigation of the urban mobility situation on the perspective of sustainability in a Latin American city, including the analysis of Uber pool, implemented in November 2018 in the metropolitan region analyzed. Research method: A case study was carried out in the metropolitan area of Porto Alegre, as well as the definition of 4 different routes used as unit of analysis for different types of transportation modes. Main findings: Riding bicycle is a very convenient transportation mode in terms of its environmental perspectives and costs. However, the time of locomotion using bicycle is superior in relation to other modes of transportation. Therefore, riding a private car still stands out in the comparisons between different types of transport, since it is a faster mode of transportation. Implications for theory and practice: As riding bicycle is a very convenient transportation mode, we highlight the importance of encouraging its use. People can benefit from practicing physical exercise while moving from one place to another and also benefit the environment from lowering carbon emissions.

Analisar um posto de trabalho sob o ponto de vista ergonômico possibilita garantir qualidade do serviço e produtividade, bem como, qualidade de vida e saúde aos trabalhadores. As funções daqueles que trabalham nas esferas do judiciário brasileiro envolvem a utilização de computadores e o levantamento de processos jurídicos que podem passar dos 12kg. Os dados foram coletados com um ano de intervalo sendo a primeira amostra ainda com processos físicos muito presentes e a segunda com a adoção dos processos eletrônicos. Utilizaram-se três métodos para avaliar os riscos de lesões e doenças relacionados às posturas adotadas durante estas atividades: RULA, diagrama das áreas dolorosas e NIOSH. Como resultados, as posturas adotadas no computador são inapropriadas, porém houve a redução de riscos de problemas na saúde com a eliminação dos levantamentos de cargas frequente.