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Attentional bias toward safety (ABS) is a positive safety cognitive ability that could encourage individuals to engage in proactive safety behaviors; however, there is a lack of systematic sorting out of the driving mechanism of ABS. This study aims to identify the influencing factors and underlying mechanisms of ABS among construction workers (CWs) in China, thereby enhancing the practice of construction safety management.

An exploratory study using the open-ended approach of grounded theory was conducted, including 25-depth interviews with CWs. Based on the interviews’ records, a scale for measuring CWs’ ABS was developed and an empirical study on 554 workers was performed. The ABS scale was validated in conjunction with an ABS modification training experiment published by the authors’ team, and the theoretical model of the driving mechanism of CWs’ ABS was obtained.

The results showed that the six driving factors of construction workers’ ABS include organizational factors, risk perception, safety awareness, safety investment, job stress and workers’ educational level. This paper also identified the critical approach to improving workers’ ABS as an effective intervention on risk perception. In addition, the ABS scale was found to be effective in measuring the ABS level.

This paper is of importance in reducing the unsafe behaviors of construction workers and preventing and promoting the sustainable development of construction enterprises.

Pregnant employees experience considerable interpersonal discrimination. This study explores the range of possible reactions of observers to pregnancy self-disclosure, interpersonal discrimination and various allyship interventions, and the attentional processes that lead to those reactions. Consequently, it uncovers socio-cognitive processes underlying support for and backlash toward pregnancy in the workplace.

This study used a thought-listing technique to explore observers’ spontaneous thoughts related to pregnancy. Working adults were randomly assigned to read through one of the six scenarios depicting pregnancy self-disclosure, interpersonal discrimination and male allyship interventions (i.e. stating the organization’s anti-discrimination policy, confronting the transgressor by calling out sexism, pivoting the conversation to highlight the strengths of the pregnant employee and a hybrid intervention combining highlighting strengths and confrontation) after which participants listed the top three thoughts that came to their mind (1,668 responses). Responses were thematically analyzed to explore spontaneous reactions toward the pregnant employee, transgressor and ally in the scenario.

Surprisingly, across all scenarios, the most sexist thoughts emerged during pregnancy self-disclosure, even in the absence of any transgression. After a transgression occurred, any allyship intervention was better than none in eliciting lesser sexist backlash against the pregnant employee. Stating the organization’s anti-discrimination policy was most beneficial for the pregnant employee in eliciting the least sexist backlash but at the cost of generating unfavorable impressions of the ally. Calling out the transgressor’s bias elicited the most sexist backlash toward the pregnant employee, yet it created favorable impressions of the ally. In contrast, highlighting the strengths of the pregnant employee created the most favorable impression of the ally while eliciting a few sexist thoughts about the pregnant employee. Overall, the hybrid intervention was the most effective at balancing the competing goals of generating support for the pregnant employee, creating favorable impressions of the ally, as well as holding the transgressor accountable.

This study demonstrates that the type of allyship intervention critically redirects the attentional focus of observers to certain aspects of a discrimination episode and relevant schemas which can generate support or backlash toward targets, transgressors and allies, thereby advancing or obstructing equity and inclusion in organizations.

Allocation of individuals' resources among multiple goals is an increasingly prominent theoretical and practical issue. Despite several theoretical perspectives that highlight the potential role of affect in this resource allocation process, empirical work on the topic is quite limited with little focus on the activation dimension of affect. This study aimed to provide further insight into this issue.

The current research explored the role of the activation dimension of affect in a multiple-goal environment. Specifically, 118 individuals participated in a 21-day longitudinal study in which they reported on affect and resource allocation related to two real-life goals.

Multilevel-modeling analyses indicated that activation positively relates to allocation of resources (effort, intended effort, and intended time devoted to a goal). The results also illustrate that task-related negative valence is a significant predictor for two of the three indicators of resource allocation (intended effort was the exception).

This research informs theory and practice at the intersection of emotion and work motivation by investigating a relatively understudied dimension of affect and provides results that help clarify the role of affect during the pursuit of multiple, competing goals.

This paper aims to develop an integrative framework explaining how infectious disease cues influence consumer behavior by connecting evolutionary psychology and behavioral immune system literature with consumer research.

The paper synthesizes pathogen-avoidance psychology and consumer behavior research to identify three psychological changes (affect, cognition, motivation) influencing consumer responses, developing theoretical propositions across five domains while identifying boundary conditions.

Disease cues trigger changes in affect (disgust, anxiety), cognition (narrowed attention) and motivation (self-protection). These influence consumer responses across self-regulation, social behavior/identity, information processing, evaluation and prosocial/sustainable behaviors. The framework identifies boundary conditions moderating these effects.

The framework advances understanding of disease threats’ influence on consumer behavior and suggests future research directions, including contextual effects and individual differences.

The framework helps marketers predict consumer responses to disease cues, offering insights for marketing strategies during health crises and normal times.

To the best of the author’s knowledge, this paper provides the first comprehensive framework explaining disease cues’ systematic influence on consumer behavior through psychological changes, extending behavioral immune system theory into consumer domains.