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Citizen trust in the public administration has been reduced worldwide due to recent events such as the current economic situation, corruption cases or disclosure of classified information. This work analyzes whether e-government related actions could be strategically employed to increase citizen trust in the public administration. This research confirms that perceived quality of public e-services has a positive effect on trust in the public administration. In turn, public administration communication (i.e., campaigns to promote the benefits and use of e-government) only influence trust in the public administration for citizens with a favorable attitude towards e-government. These results have interesting implications suggesting in which ways public administration should invest their limited resources in order to recover the levels of citizen trust.

Service robots are taking over the frontline. They can possess three types of artificial intelligence (AI): mechanical, thinking, and feeling AI. Although these intelligences determine how service robots can help customers, not much is known about how customers respond to robots of different intelligence. This paper addresses this gap, builds on the appraisal theory of emotions, and employs three online experiments and one field study to demonstrate that customers have different emotional responses to the three types of AI. Particularly, the influence of AI on positive emotions becomes stronger as the AI type becomes more sophisticated. That is, feeling AI relates more strongly to positive emotions than mechanical AI. Also, feeling AI and thinking AI increase spending and loyalty intention through customers' positive emotions. We also identify important contingency effects of service tiers: mechanical AI is more suitable for low-cost firms, whereas feeling AI mainly benefits full-service providers. Remarkably, none of the three intelligences are directly related to negative emotions; perceived robot autonomy is an important mediator in these relationships. The findings yield concrete managerial guidance as to how smart a service robot should be by pinpointing the right type of AI given the market segment of the service provider.

COVID-19 has led to an unprecedented health and economic crisis worldwide. Many governments of the world have accelerated an adoption of public policies to address this crisis; however, a trade-off between the economy and public health exists. Previous studies in this area have mainly focused on the impact of COVID-19 on human life and the environment. This work adds to the literature by analyzing how individual environmental concern can affect citizens' preferences for public policies that deal with COVID-19. A data set of 26,131 participants from 26 countries was used to test the research model. Results indicate that environmental concern is positively associated with a preference for long-term oriented altruistic policies, and it shapes the relationship between economic and health problems at the country level on our dependent variable. Specifically, as the level of environmental concern increases, the negative effect of COVID-19's economic problems on the preference for long-term altruistic policies is diminished. In turn, in the case of health problems, the impact on the preference for long-term altruistic policies increases as environmental concern increases. Also, both individual-level and country-level characteristics affect citizens' preferences for policies related to the COVID-19 pandemic.

The relevance of smart speakers is steadily increasing, allowing users perform several daily tasks. From a commercial perspective, smart speakers also provide recommendations of products and services that may influence the consumer decision-making process. However, previous studies have mainly focused on the adoption of smart speakers, but there is a lack of proper guidelines that help design the way these devices should offer their consumption recommendations. Based on a stimulus-organism-response approach, we analyze how two features of smart speakers' recommendations (the gender congruence between the customer and the speaker, and the length of the message) influence on the effectiveness of such recommendations (i.e., visiting intentions) through its impact on user engagement and attitude. Data was collected from a sample of undergrad students in Spain using an experiment design that focused on a restaurant recommendation, and analyzed using partial least squares. On the one hand, our results suggests that gender congruence generates user engagement with the smart speaker. On the other hand, message length is positively related to attitudes towards the restaurant, at a declining rate. In addition, while better attitudes lead to higher visiting intentions, the influence of engagement on visiting intentions is partially mediated via attitudes. Thus, our findings contribute to understand the antecedents of users' engagement with smart speakers, as well as its impact on the customers' willingness to follow smart speakers' recommendations, constituting a base to analyze the impact of artificial intelligence solutions aimed to smooth the transitions of a customer through the stages of purchase process ; This research benefited from the Professorship Excellence Program in accordance with the multi-year agreement signed by the Government of Madrid and the Autonomous University of Madrid

COVID-19 has led to an unprecedented health and economic crisis worldwide. Many governments of the world have accelerated an adoption of public policies to address this crisis; however, a trade-off between the economy and public health exists. Previous studies in this area have mainly focused on the impact of COVID-19 on human life and the environment. This work adds to the literature by analyzing how individual environmental concern can affect citizens'' preferences for public policies that deal with COVID-19. A data set of 26, 131 participants from 26 countries was used to test the research model. Results indicate that environmental concern is positively associated with a preference for long-term oriented altruistic policies, and it shapes the relationship between economic and health problems at the country level on our dependent variable. Specifically, as the level of environmental concern increases, the negative effect of COVID-19''s economic problems on the preference for long-term altruistic policies is diminished. In turn, in the case of health problems, the impact on the preference for long-term altruistic policies increases as environmental concern increases. Also, both individual-level and country-level characteristics affect citizens'' preferences for policies related to the COVID-19 pandemic. © 2022 The Authors

COVID-19 has led to an unprecedented health and economic crisis worldwide. Many governments of the world have accelerated an adoption of public policies to address this crisis; however, a trade-off between the economy and public health exists. Previous studies in this area have mainly focused on the impact of COVID-19 on human life and the environment. This work adds to the literature by analyzing how individual environmental concern can affect citizens' preferences for public policies that deal with COVID-19. A data set of 26,131 participants from 26 countries was used to test the research model. Results indicate that environmental concern is positively associated with a preference for long-term oriented altruistic policies, and it shapes the relationship between economic and health problems at the country level on our dependent variable. Specifically, as the level of environmental concern increases, the negative effect of COVID-19's economic problems on the preference for long-term altruistic policies is diminished. In turn, in the case of health problems, the impact on the preference for long-term altruistic policies increases as environmental concern increases. Also, both individual-level and country-level characteristics affect citizens' preferences for policies related to the COVID-19 pandemic.