Abstract
The purpose of this paper is to study how the fit between innovation capabilities and supply chain (SC) strategies affects business performance. An empirical study based on a sample of 329 companies from Portugal and Brazil was performed to test a theoretical model based on the resource-based view. Linear and hierarchical regression analyses are conducted to test the hypotheses. The different combinations of core and supplementary innovation capabilities and lean and agile SC strategies are empirically tested and discussed. Data reveal that core and supplementary innovation capabilities positively impact on business performance and that SC strategies moderate the relationship between innovation capabilities and business performance. The analysis also shows that the combination of an agile SC strategy and supplementary innovation capabilities offers the greatest opportunities to improve business performance. The results of this study could help managers to choose the most appropriate SC strategy, thus contributing to increasing the impact of innovation capabilities on business performance. This study contributes to the knowledge concerning the consequences of adopting different innovation capabilities and SC strategies on business performance.

Abstract
Although the relationship between supply chain (SC) and innovation has attracted attention from researchers in recent years, the relationship between innovation capabilities and SC strategies is a subject that has not yet been explored extensively. The main objective of this paper is to examine how SC strategies affect the relationship between innovation capabilities and business performance. The paper, characterised as a conceptual paper with the aim of contributing to theory building, is based on the concept of fit and on the principles of the contingency theory and the resource-based view. Further, a literature review and a theoretical discussion, a theoretical model and a set of research propositions are presented. The theoretical rationale shows the potential for improvement in performance through the relationship between innovation and SC and can be used to boost empirical research on the topic. Copyright © 2020 Inderscience Enterprises Ltd.

Abstract
People that do not have access to the transport system and therefore, a facilitated access to goods and services essential to daily life, can be regarded as transport-related social excluded. This is a big issue, namely for groups of people that have physical, sensorial and/or cognitive limitations. This paper provides guidelines to design route planners for socially excluded groups, by promoting social inclusion in public transportation. For this purpose, a set of mock-up user-interfaces of an inclusive inter-modal route planning application were developed. These interfaces will deliver ready availability of information about infrastructures and other journey related data.

Abstract
Urban population is increasing fast. This is creating new challenges to public transport systems since some groups of citizens as elderly people may have sensory, cognitive or motor impairments that need to be addressed. This work explores the potential of a Demand Responsive Transport (DRT) system for people with reduced mobility in an urban environment. For this purpose, the Dial-A-Ride Problem (DARP) was implemented using a multivariable minimisation approach. In this approach, an Assigning Request to Vehicles (ARV) algorithm is used to obtain an initial solution. Then a Multi-Objective Tabu Search Algorithm (MOTSA) is applied to the initial solution to search for the non-dominated solution (optimisation phase). In this optimisation phase, the total travelled distance, the deadheading distance and the number of vehicles were minimised. The performance of the model was computed combining different parameters' values of the number of requests, boarding time for each user, the number of seats in each vehicle, vehicle's speed, the total number of iterations, and candidate threshold number (the algorithm's parameter). The computational results found a strong positive correlation between the number of requests and the: total travelled distance (rs = 0.977, p-value<0.001) and the number of vehicles (rs =0.883, p-value<0.001); and a low positive correlation between the number of requests and the optimised total travelled distance (rs =0.331, p-value<0.001) and the optimised number of vehicles (rs =0.340, p-value<0.001). © 2020 The Authors. Published by ELSEVIER B.V.

Abstract
Este artigo tem como objetivo identificar os desafios, as barreiras e as aprendizagens com a atividade de remanufatura. Por meio de uma busca realizada na internet foram encontradas empresas de diferentes regiões do país que operam no setor. Desse modo, como procedimento de coleta, foi adotado o estudo de casos múltiplos e, como técnica de coleta, foi utilizada a entrevista semiestruturada, uma vez que a intenção era obter dos entrevistados o relato sobre o seu dia a dia e o seu ambiente de negócio na remanufatura. Os resultados mostraram que a atividade é carente de incentivos por parte do poder público. Outro ponto que prejudica é o custo da logística reversa. Há, ainda, a falta de locais apropriados na fase de descarte dos materiais, cujas condições de reaproveitamento no processo não são mais viáveis. Destarte, o estudo permitiu conhecer um pouco mais da remanufatura por meio do que as empresas contatadas vivenciam no mercado.

Abstract
Nowadays the production systems are linear and the consumption patterns are essentially based on products with a short life cycle, which contribute to increase the demand for raw materials and environmental impacts. The Circular Economy (CE) is playing a major role among scholars and practitioners. Many aspects are now defining this new trending paradigm such as the roles of product development, transformation and remanufacturing/recycling, and/or management of waste, ensuring the economic and environmental benefits. The increasing demand causes instability of the prices and markets, and there is also the risk of supply rupture. This is very unsustainable and puts at risk countries' development. In this work we analyze and assess some EU critical raw material (CRM), considering existing global reserves and production. Correlation between several parameters was also analyzed. Under this assumption one scenario was considered to assess the depletion of two CRM. China is the main supplier in 15 out of 25 CRM considered in this analysis and its average percentage is 65%. Phosphate rock presents the highest value and antimony the lowest for depletion indicator. It was possible to conclude that no significant correlation was found between depletion, self-sufficiency and economic importance indicators. (C) 2019 Published by Elsevier Ltd.