As the use of artificial intelligence (AI) grows, so do the questions regarding this new technology and its potential uses. Among the various possibilities and employment that could be offered by AI is personalized news technology. Nowadays, it is already possible to produce journalistic content through AI (Carlson, 2014; Graefe & Haim, 2018). Digital storytelling has become a reality through automated journalism powered by AI (Caswell & Dörr, 2018; Galily, 2018; Linden, 2017; Thorne, 2020). “Artificial intelligence applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions” (Gartner Group, 2019). In personalized news technology, algorithms are responsible for selecting content and sorting it according to the personalization criteria (Powers, 2017). So far, AI has been studied in different fields with distinct research focuses (Loureiro et al., 2021). Studies of news-personalization technologies have mainly focused on research engines and filtering mechanisms (Darvishy et al., 2020; Haim et al., 2017; Manoharan & Senthilkumar, 2020). Few studies examine news aggregators (Haim et al., 2018; Kwak et al., 2021) and the effects of news personalization on audiences (Merten, 2021; Swart, 2021; Thurman et al., 2019), thus demanding further research. AI is an imminent reality for the future, reshaping the news media (Brennen et al., 2022; Linden, 2017; Thorne, 2020). Hence, it is still necessary to investigate the impacts that this technology potentially offers to users. Therefore, the current study seeks to respond to this need to deepen research into the area of news personalization through AI, by analyzing the response of audiences toward current and future technological tendencies. The main aim of this research is to investigate the levels of trust that users have in AI-generated personalized video news.

Technologies, such as Artificial Intelligence (AI) and robotics are emerging as a new way to improve services, readjusting and impacting all business industries and relationships among people (Loureiro et al., 2021; Makridakis, 2017; Mingotto et al., 2020). The hospitality industry is no exception to this (Mingotto et al., 2020) since a quick growth in the use of robots and AI in this industry has registered a turnover of 249 million U.S. dollars (International Federation of Robots, 2021). However, very few of the existing studies highlight the customers’ perspective and sentiments on service robots (Luo et al., 2021) or the robot-human interactions/ customer service experience (Choi et al., 2021). Thus, further studies in the enhancement of human well-being through transhumanistic technologies, close relationship marketing capabilities, and the evolution of the engagement process between humans and AI-enabled machines are necessary (Loureiro et al., 2021). This research intends to understand how different types of robots influence customers’ perception of the service provided. Therefore, the following research questions are proposed; Can humans develop feelings of identification with a service robot? Can the identification that customers perceive between themselves, and service robots be strong enough to influence the creation of a close relationship between both parties? What are the features of service robots that heighten customer well-being?

While Brand Love has been extensively studied, Brand Hate is still in the early stages of its theoretical development. Aiming to reduce that gap, this project has three main goals: first, conduct a thorough literature review, seeking to consolidate what has been written about the concepts of love, hate, brand love, brand hate and several supportive elements such as emotions, consumer-brand relationships, brand and anti-brand communities; second, perform and code multiple semi-structured/in-depth interviews, analyse and discuss the Portuguese costumer’s perception on the topic and link it with academia; third, build a literate crossing between Marketing and Linguistics that can be used by future studies. Supporting these objectives is the Constructivist Grounded Theory methodology. Among the findings generated by this process, seven facets were uncovered: emotions are essential to the shopping experience; there is an occasional contemporaneity between diverse elements of Active Brand Hate; Negative Past Experiences was the most cited antecedent of Brand Hate; it is possible to turn Brand Hate into neutral or positive relationships, but so is the inverse; Negative Double Jeopardy should be divided into parcels; Oppositional Brand Loyalty ought be tested as another antecedent; there are dissimilar types of Brand Hostages.

Create, develop, maintain and nurturing the passengers-airline relationships is crucial in a very competitive market in Europe. Relationship quality and behavioural intentions to fly again in the same airline carrier and recommend to others are core outcomes which may result from a favourable travel experience over time. However, the complexity and the multidimensional phenomenon lead us to develop a holistic framework, which posits that relationship quality and behavioural intentions do not depend on individual air-flight attributes and other individual demographicpsychological variables but on specific configurations of such attributes and variables. Thus, the framework of this study is investigated using qualitative comparative analysis and a sample of 304 passengers. Accordingly, the property space consists of all combinations of binary states, that is, presence or absence, of the 7 in-flight attributes (air quality, temperature, odour, noise, crew, layout and equipment/amenities), frequency of fly in an airline carrier, the type of airline carrier and demographic-psychological variables (age, gender, mindful) (that is, 212 combinations or configurations). Data from both Portuguese and non-Portuguese passengers, who have air travel experiences through Europe in both low cost carriers and legacy airlines (also called traditional or flag airlines) are used to test the hypotheses. The Lisbon airport agreed in helping to conduct the survey during October 2015. Research Question: Which configurations of in-flight attributes, demographicpsychological variables, frequency of fly in an airline carrier and type of airline carrier lead to relationship quality and behavioural intentions? The findings of the current study highlight the importance of coaligning the multiple attributes of air-flight attributes and other individual demographic-psychological variables, also including the frequency of fly in an airline carrier and type of airline carrier, for increasing relationship quality and behavioural intentions. Here the findings point out that complexity theory and QCA are useful tools for understand that simple antecedent conditions relate to an outcome condition of interest positively, negatively, and not at all, which of these three relationships occur depends on the observed complex antecedent conditions in which the simple antecedent conditions occur. Positive outcome (relationship quality or behavioural intention) is not the mirror opposite of negative outcome. By employing QCA, airline managers in Europe can identify whether and under what circumstances individual attributes and other variables will increase (or decrease) the relationship quality and behavioural intentions. QCA can also help managers uncover alternative ways for combining the attributes in order to induce behavioural intentions. Overall it is possible to see that crew and equipment & amenities, particularly for mindful passengers, emerge in several configurations as essential elements for the four outcomes: satisfaction, trust, affective commitment and behavioural intentions. For passengers not affectively committed to an airline, satisfaction plays an important role in their behavioural intention to fly again in the same airline carrier and recommend it to others. The combination of trust and affective commitment may also generate the intention to fly again in the same airline carrier and recommend it to others, particularly for mindful passengers. The findings contribute to managerial practices by providing new insights for improving the in-flight service provide and process. The findings also contribute to theoretical advancing of how passengers’ in-flight evaluations and their experience with an airline relate to their assessments of relationship quality and behavioural intentions.