Abstract
One of the Industry 4.0 landmarks, concerns the optimization of manufacturing processes by increasing the operator's productivity. But productivity is highly affected by the operator's emotions. Positive emotions (e.g. happiness) are positively related to productivity, in contrast negative emotions (e.g. frustration) are negative related to productivity and positive related to misconducts and misbehaviors on the workplace. Thus perhaps, automatic recommendation systems can suggest actions or instructions to eliminate or attenuate undesired negative emotions on the workplace. These systems might support their actions based on the reliability of emotion detectors. In this paper, emotions are detected thought a speech system. Our solution was built over deep speech recognition layers, namely the first two convolutional layers of the pre-trained 2015 Baidu's speech recognition model. In re-utilizing these first two convolutional layers, robust meta-features are expected to be extracted. Our deep learning model attempts to predict the seven primary emotions on the MELD test set.Furthermore, our solution did not use any contextual data and yet it achieved robust results. The proposed weighted TrBaidu algorithm achieved state-of-art results on the detection of joy and surprise emotions, a F1-score rate of 23 % for both emotions.

Abstract
Retirees have been growing in importance as a consumer segment targeted by the tourism industry, namely because they can minimize the typical seasonality of tourism and increase its sustainability. This study aims to contribute to a more in-depth knowledge of retirees' behaviour and has two objectives: (i) describe tourist behaviour of seniors prior to and after retirement; (ii) identify and analyse retired consumers' current motivations and constraints towards tourism. Qualitative research was conducted comprising interviews with 40 Portuguese retirees. The results indicate a diversity of experiences regarding tourism activities both before and after retirement, evidencing that past experience stands out as a determinant of retirees' tourism behaviour. Moreover, three distinct segments of tourists emerge: the experts, the new tourists, and the non-tourists.

Abstract
The study presented in this article aims at understanding the relevance of mobility initiatives to the internationalisation efforts of Higher Education Institutions (HEIs). By building upon relevant literature, 17 propositions related to this contribution were identified. Empirical evidence from a concrete case of a European university was then used to evaluate those propositions. Data was collected from individual interviews to 19 outgoing faculty and from focus groups with 32 incoming students, resulting in the identification of the promises and pitfalls of mobility. The study concludes that HEIs must define clear strategies and carefully manage their mobility activities to maximise the potential benefits for internationalisation. Based on this main implication, it presents a set of managerial recommendations that may be relevant for those involved in administering or promoting international mobility programmes at universities, governments or international organisations, and for researchers in higher education.

Abstract
Starting from a gap identified in the literature regarding the use of social networks by newspapers to disseminate urgent news, this article aims to study strategies of journalistic content in social media, particularly in the context of a public crisis and to compare the effectiveness of different types of news disseminated in this medium, namely in terms of reach and generated interaction. The following research question was defined: how popular was public health news in Brazil during the covid-19 pandemic? Based on contributions in the literature, a quantitative study was carried out, using the content analysis technique. The study enable to better understand the sharing behavior of news in Twitter, the consumption behavior of newspaper readers on social networks and the generation of news during the pandemic.

Abstract
Manuscript type: Research paper Research aims: This study aims to shed light on the factors that facilitate online purchase of perfume. It specifically: 1) explores the antecedents of online purchase behaviour in the case of experience goods; 2) analyses the motivations, perceived benefits and perceived risks associated with online purchase of perfume; and 3) identifies perfume e-shoppers' profiles. Design/Methodology/Approach: A qualitative research approach involving interviewing 27 perfume e-shoppers from Brazil, Iran and Portugal was adopted. Research findings: The findings of this study reveal that there are three types of perfume e-shoppers: 1) experienced e-shoppers, 2) bargain e-seekers, and 3) expert e-shoppers. Competitive prices, enjoyable online experiences and greater varieties of perfumes are among the perceived benefits that motivate the online shoppers. The inability to test the perfumes, particularly those that are never tried before, appears to be the major drawback. Theoretical contribution/Originality: This study provides interesting cues on a topic that has so far been disregarded by the literature despite its growing importance as a business sector-online purchase of perfumes. It offers the categorisation of three e-shopper profiles, based on consumers' narratives, and highlighted the importance of further addressing the dynamic nature of consumer behaviours, particularly in the online context. Practitioner/Policy implications: The findings show that the main trigger of buying perfume online is the price discounts, which is particularly important to less experienced Web shoppers. This indicates that experience goods such as perfume should, at the initial stage, be sold in stores that offer an assortment of products. Online perfume stores should consider alternatives to provide perfume testing. Research limitation/Implications: Purposive sampling does not allow results' generalisation; hence future research is needed to further validate the findings.

Abstract
The main objective of this chapter is to explore how cities and regions can use digital storytelling strategies to reach and engage with their target audiences. Despite the growing body of literature regarding digital storytelling, the contributions and examples about regions and cities are still scarce. This chapter analyses the storytelling strategies of promotional campaigns regarding three cities and two regions around the world. Using a theory-driven framework, each storytelling example is dissected and interpreted. This study demonstrates that digital storytelling is worth consideration, as it offers a relevant set of advantages for marketing and communication managers, and enables the development of the place image and a consistent communication of its identity that can be co-created with various stakeholders, including the target audiences. It also shows that there are a diversity of approaches that can be adapted by place branding strategies, namely in terms of narrative, perspectives, and medium components. © 2021, IGI Global.