Influencing a nation: How a leader's interpersonal emotion regulation influences citizen compliance via trust and emotions during a global pandemic

During crises like the COVID-19 pandemic, it was necessary for political leaders to influence citizens to comply with public health measures and restrictions. These health measures (e.g., physical distancing, staying at home) had substantial negative effects on individuals' lives and thus were sometimes met with defensive, noncooperative responses. To influence citizens' compliance with public health guidance and nationally imposed restrictions, political leaders needed to effectively motivate them through their public communications. We argue that while negative emotions may have discouraged citizens from deviating from public health restrictions, other factors such as citizens' trust in political leaders played a role as well. We investigated whether the perception of the interpersonal emotion regulation (IER) strategies used by government leaders in ministerial briefings impacted citizens' compliance intentions via either negative affect or perceived trustworthiness. Across three studies based in Western Europe (Studies 1 and 2 survey, Study 3 experimental), we consistently found that a leader's affect-improving IER strategies increased compliance intentions via perceived trustworthiness but not via negative affect. Affect-worsening IER strategies demonstrated either no effect or an indirect worsening effect on the compliance intentions of citizens. Our findings highlight the importance of IER strategies in ministerial briefings and perceived trustworthiness of political leaders in motivating citizens to comply with public health restrictions during a pandemic. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Investigating Citizens' Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy

BACKGROUND

The COVID-19 pandemic accelerated the need to understand citizen acceptance of health surveillance technologies such as contact tracing (CT) apps. Indeed, the success of these apps required widespread public acceptance and the alleviation of concerns about privacy, surveillance, and trust.

OBJECTIVE

This study aims to examine the factors that foster a sense of trust and a perception of privacy in CT apps. Our study also investigates how trust and perceived privacy influence citizens' willingness to adopt, disclose personal data, and continue to use these apps.

METHODS

Drawing on privacy calculus and procedural fairness theories, we developed a model of the antecedents and behavioral intentions related to trust and privacy perceptions. We used structural equation modeling to test our hypotheses on a data set collected at 2 time points (before and after the launch of a national CT app). The sample consisted of 405 Irish residents.

RESULTS

Trust in CT apps was positively influenced by propensity to trust technology (β=.074; P=.006), perceived need for surveillance (β=.119; P<.001), and perceptions of government motives (β=.671; P<.001) and negatively influenced by perceived invasion (β=-.224; P<.001). Perceived privacy was positively influenced by trust (β=.466; P<.001) and perceived control (β=.451; P<.001) and negatively influenced by perceived invasion (β=-.165; P<.001). Prelaunch intentions toward adoption were influenced by trust (β=.590; P<.001) and perceived privacy (β=.247; P<.001). Prelaunch intentions to disclose personal data to the app were also influenced by trust (β=.215; P<.001) and perceived privacy (β=.208; P<.001) as well as adoption intentions before the launch (β=.550; P<.001). However, postlaunch intentions to use the app were directly influenced by prelaunch intentions (β=.530; P<.001), but trust and perceived privacy only had an indirect influence. Finally, with regard to intentions to disclose after the launch, use intentions after the launch (β=.665; P<.001) and trust (β=.215; P<.001) had a direct influence, but perceived privacy only had an indirect influence. The proposed model explained 74.4% of variance in trust, 91% of variance in perceived privacy, 66.6% of variance in prelaunch adoption intentions, 45.9% of variance in postlaunch use intentions, and 83.9% and 79.4% of variance in willingness to disclose before the launch and after the launch, respectively.

CONCLUSIONS

Positive perceptions of trust and privacy can be fostered through clear communication regarding the need and motives for CT apps, the level of control citizens maintain, and measures to limit invasive data practice. By engendering these positive beliefs before launch and reinforcing them after launch, citizens may be more likely to accept and use CT apps. These insights are important for the launch of future apps and technologies that require mass acceptance and information disclosure.

I Left Venus and Came Back to Mars: Temporal Focus Congruence in Dyadic Relationships Following Maternity Leave

Temporal focus on past, present, and future of contributions to work is critical to understanding how employees and their line managers navigate career disruptions and minimize their potential for negative impact. This paper reframes temporal focus using a dyadic, relational perspective to explore how temporal focus (in)congruence shapes resocialization experiences for returners and their line managers following maternity leave disruption. Our qualitative study draws on 54 interviews across 27 organizations and demonstrates that a congruent, broader temporal focus—that embraces the past, present, and future—is associated with more positive relational and career outcomes than an incongruent focus, where one dyadic partner holds a narrow temporal focus. Our findings explicate how the adoption of a broad versus narrow temporal focus creates a perception of maternity leave as either a brief interlude or a major disruption. A congruent, broader temporal focus allows returners and their line managers to reduce their reliance on typical motherhood biases and instead, consider the woman’s past, present, and potential future contributions over the course of her career. We highlight the importance of temporal focus congruence at a dyadic level and the value of adopting a broader temporal focus on careers while offering new insights regarding the temporal dynamics inherent to maternity leave transitions for both returners and their managers.

A Trait-State Model of Trust Propensity: Evidence From Two Career Transitions

Trust propensity is typically conceptualized as a stable, trait-like, exogenous variable. Drawing on the social investment principle of personality change, we argue that trust propensity has situationally specific components and is likely to be less stable during periods of career transition. Using a latent curve-latent state-trait model, we present evidence that suggests that trust propensity has stable (trait) and unstable (state) components during career transition periods and that it has the potential to change over time. Our results are replicated across two, transitional workplace populations during a process of (re)socialization into an organization. In our second study, we also expand our focus to examine correlates of trust propensity and demonstrate the relationship between state and trait trust propensity and cognitive depletion. Our paper significantly extends knowledge of the nature of trust propensity and raises questions about the stability of this construct, one of the core tenets of trust theory.

Trust motivation: The self-regulatory processes underlying trust decisions

Theorizing about trust has focused predominantly on cognitive trust cues such as trustworthiness, portraying the trustor as a relatively passive observer reacting to the attributes of the other party. Using self-determination and control theories of motivation, we propose a model of trust motivation that explores the intraindividual processes involved in the volitional aspects of trust decision-making implied by the definition of trust as a willingness to be vulnerable. We distinguish between intrinsic and extrinsic drivers of trust and propose a two-phase model of trust goal setting and trust regulation. Our model offers a dynamic view of the trusting process and a framework for understanding how trust cognition, affect and behavior interact over time. Furthermore, we discuss how trust goals may be altered or abandoned via a feedback loop during the trust regulation process. We conclude with a discussion of potential implications for existing theory and future research.