Abstract
Sensory stimulation is used by various brands to induce desired behaviours among their customers. Although its effectiveness is recognised in business contexts, little research has been conducted on sensory marketing. In order to contribute to filling this gap, this study sought to build a model that explains how sensory stimulation influences intentions to purchase a brand. Brand experience and brand equity were expected to mediate this relationship. The empirical validation of the model was conducted by carrying out an online survey with a convenience sample of 302 customers of a brand of the catering industry. The data collected were processed using PLS-SEM methodology. The results reveal that sensory stimulation positively influences brand experience and brand equity, which, in turn, have a positive impact on intentions to purchase the brand in question. The relevant contributions that emerged from this study include not only bridging the aforementioned gap in the literature but also offering significant managerial implications.

Abstract

Abstract
This paper aims to evaluate the performance of a semi-active controlled suspension system using a magneto-rheological (MR) damper to provide better ride comfort and safety to vehicle passengers than an uncontrolled or passive suspension system. Passive systems represent a conventional solution for vibration control of suspension systems. Although this system is a proven, reliable and economic technology, their parameters cannot be modified according to the road conditions. On the other hand, active systems allow a continuous control of the suspension motion, but require a complex and energy demanding actuator. The proposed suspension system has the adaptability of active systems with lower energy consumption, which constitute an economic and efficient option for vibration control in vehicle suspensions. The analysis was carried out with a set of numerical simulations in Matlab/Simulink using a 1/4 vehicle suspension model with two degrees of freedom for a passive system and two semiactive control modes based on fuzzy and optimal controllers.

Abstract

Abstract
Cognitive robots have started to find their way into manufacturing halls. However, the full potential of these robots can only be exploited through an integration into the automation pyramid so that the system is able to communicate with the manufacturing execution system (MES). Integrating the robot with the MES allows the robot to get access to manufacturing environment and process data so that it can perform its task without human intervention. This paper describe the mobile robotic manipulator developed in the EU project STAMINA, its has been integrated with an existing MES and its application in a kitting task from the automotive industry.

Abstract
The increasing urban development is being accompanied by increased mobility in transport and by the increasing of greenhouse gas (GHG) emissions. The European Union (EU) projects that, in the next forty years, transport activity will increase around 57% (2010-2050) and it will be the largest source of CO2 (Margaritis et al., 2016). To reduce these prospects, the EU has been looking for a more sustainable and decarbonised transport system (European Commission, 2011). The entry of electric vehicles (EVs) into the European markets is seen as an important aspect for low-carbon mobility (Morton et al., 2016). However, EVs have characteristics that condition their entry into the markets, such as their high cost, the limited network of charging infrastructures, their maximum reach, the lack of information dissemination (Labeye et al., 2016), and also the risk of the investment (McDowall, 2014). Global governments have been using a wide variety of incentives to facilitate the entry of EVs, including subsidies and public investments in loading stations (ICCT, 2016). The primary objective of this article is to evaluate the expansion of EVs in Europe, including the assessment of drivers' benefits. Additionally, this study allows interpreting the effect of policies implemented by the European Union and chosen individual members. For this theoretical assessment, the policies of incentives to the EVs of each country are comprehensively analysed. This study shows that, in a global incentive scenario, electric battery vehicles (BEVs) can be cheaper than other car technologies (Hagman, Ritzen, Stier, & Susilo, 2016) and that they are clearly the best choice for a low emission transport system. It is also concluded that there are still many targets to be achieved until internal combustion vehicles (ICEs) are no longer the primary choice of drivers and we may reach optimal GHG values in transportation.