How Cat-Behavior Advisors Can Improve Clients' Willingness to Adopt their Advice: An Investigation of Advice Severity, Advisor Credibility, and Clients' Self-Identity

Feline behavioral problems can be treated successfully by good advice from cat-behavior advisors, but guardians often do not comply with their advice. An experimental survey under 703 cat guardians was used to investigate what advisors can do to increase their clients' compliance with environmental enrichment advice. By systematically varying the credibility of the advisor and the severity of their advice, the hypothesis was confirmed that highly credible advisors elicit more positive attitudes and compliance intentions than less credible advisors. Also as expected, mild advice resulted in stronger compliance intentions than severe advice because guardians believed they were better able to incorporate the required actions. Finally, guardians who more strongly thought of themselves as cat guardians were more likely to adopt the advice because they believed that other cat guardians would do the same. The investigation of factors that can increase cat guardians' compliance with advisors' recommendations for the treatment of behavioral problems is crucial because the wellbeing of domestic cats lies in the hands of their guardians. Several practical recommendations for cat-behavior advisors are offered.

The Decoy Effect and Recommendation Systems

Recommendation systems and the decoy effect are two popular marketing techniques that have been used for facilitating decision making. Practitioners often use decoys to help drive demand for specific items, and prior research has shown the decoy effect to be robust in traditional choice settings, with consistent reporting of an overall positive impact. Recommendation systems are also increasingly being used to present item choice sets to customers and users, assisting users in their decision-making process. However, previous work has not examined the decoy effect in the context of recommendations. The decoy effect may facilitate consumer decision making and positively impact user behavior when used with recommendation systems. However, in the recommendation context, customers often have different expectations for the reliability and quality of the presented information. Hence, a decoy as a recommendation could signal issues in system reliability, resulting in a negative effect. Our study demonstrates that depending on the recommendation context, the decoy effect can be beneficial or counterproductive. Specifically, we find in the personalized context, including a decoy minimizes the demand for the target option and pushes consumers to opt out of purchase, which deviates from the traditional decoy effect. However, a decoy increases the target item’s demand in the nonpersonalized context, following the conventional decoy effect.

When the influencer says jump! How influencer signaling affects engagement with COVID-19 misinformation

With signaling theory, credibility, and social media engagement (SME) as guiding frameworks, this study used an experiment to examine how social media influencers (SMIs) affect how people engage with COVID-19 misinformation. SMI-promoted information elicited more SME, credibility, and purchase likelihood than non-SMI promoted information. The most effective message was a post promoted by an SMI that contained detailed information about an authentic product. However, data indicated nuance regarding the effect of SMIs. The authenticity of the information as well as the amount of detail in the post played a role. Additionally, mediated effects analysis showed that the impact of SME on purchase likelihood was higher among non-SMI followers. Data suggests that using a multi-signal messaging approach is suitable regardless of promotion by an SMI. This has important implications to public health messaging and the author discusses how health agencies may effectively signal information to the public.

New Approach to Food Safety Training: A Review of a Six-Step Knowledge-Sharing Model

Significant resources, including both human and financial capital, have been dedicated to developing and delivering food handler training programs to meet government and organizational mandates. Even with the plethora of food safety-oriented training programs, there is scant empirical evidence documenting effectiveness, suggesting the need to rethink the design and delivery of food safety training for food handlers. One underlying assumption of most training programs is that food handlers engage in unsafe practices because of lack of knowledge. As a result, many training curricula are designed to improve knowledge, assuming behavior will change as knowledge increases. However, food handlers often return to the work environment and try to implement the new knowledge with minimal success. One explanation for this is that the training context and the implementation context often differ, making it difficult for the food handler to transfer what they learned into practice. Understanding the connection between knowledge, the organization, and its environment is critical to knowledge implementation. The focus of this review is to describe a six-step knowledge-sharing model. Here, knowledge sharing is broadly defined as the process of creating and then using knowledge to change a practice or behavior. Our proposed knowledge-sharing model includes six steps: generation, adaptation, dissemination, reception, adoption, and implementation. We have organized this model into two dyads: (i) transfer between researcher (i.e., knowledge generators) and educator and (ii) transfer between educator and food handler (i.e., knowledge implementers). To put into practice this proposed model for developing and delivering effective food safety training for food handlers, we have provided suggested actions that can be performed within each step of the knowledge-sharing process.

Positive Stereotype Validation: The Bolstering Effects of Activating Positive Stereotypes After Intellectual Performance

Past research has found that members of stigmatized groups may feel more certain of poor performance when negative stereotypes are made accessible after finishing a task (i.e., stereotype validation). However, no research to date has identified the potential effects of activating positive stereotypes after performance. Based on past research and theory, we hypothesized that such positive stereotype validation may serve to bolster-rather than hinder-important beliefs related to one's abilities and future task performance. Across three studies, the accessibility of positive group stereotypes was manipulated after participants completed an initial test on a topic. Consistent with predictions, the activation of positive, self-relevant stereotypes after the initial test was found to increase how certain participants were that they performed well on it. Furthermore, these increases in evaluative certainty predicted more positive ability beliefs, higher expectations for future performance, and better performance on a follow-up test that participants completed.

Attitudes and Attitude Change

This review covers research on attitudes and attitude change published between 2010 and 2017. We characterize this period as one of significant progress toward an understanding of how attitudes form and change in three critical contexts. The first context is the person, as attitudes change in connection to values, general goals, language, emotions, and human development. The second context is social relationships, which link attitude change to the communicator of persuasive messages, social media, and culture. The third context is sociohistorical and highlights the influence of unique events, including sociopolitical, economic, and climatic occurrences. In conclusion, many important recent findings reflect the fact that holism, with a focus on situating attitudes within their personal, social, and historical contexts, has become the zeitgeist of attitude research during this period.