Search

The attention to microplastics and the consequences of its presence in the marine environment is increasing in scientific fields as well as on common media channels. In the absence of regulation in many countries, manufacturers are not required to exclude microplastic from their products, however consumers could force the production in a more sustainable direction with their choices. This study demonstrates the utility of the Theory of Planned Behaviour (TPB) in understanding the publics' intention to avoid buying products which contain microplastics. All three TPB antecedents of intentions are important. The study, based on a sample of respondents in NSW (Australia), also reveals respondents' habitual behaviour of avoiding buying products containing microplastics strongly predicts their intended future behaviour. Last, modelling reveals direct and indirect means through which intentions to avoid buying microplastics can be increased, via increased environmental concerns and public knowledge and health concerns about microplastics.

The development of COVID-19 vaccines is occurring at unprecedented speeds, but require high coverage rates to be successful. This research examines individuals' psychological beliefs that may act as enablers and barriers to vaccination intentions. Using the health beliefs model as a guide to our conceptual framework, we explore factors influencing vaccine hesitancy and health beliefs regarding risks and severity of the disease, along with individual variables such as income, age, religion, altruism, and collectivism. A questionnaire using newly created measures for various antecedents provided 4303 usable responses from Australia, Canada, England, New Zealand, and the United States. A factor analytic and structural equation model indicates that trust in vaccine approval, the perceived effectiveness of the vaccine for protecting others, and conspiracy beliefs are the most significant drivers of intentions to vaccinate. Older people, those seeking employment, and those who have received a recent influenza vaccine are more likely to be vaccinated against COVID-19. The findings have implications for improving communication strategies targeting individuals about the merits of vaccination, particularly focusing on younger individuals and expanded message framing to include altruistic considerations, and to improve government transparency regarding the effectiveness and side effects of vaccines.

© 2015 RADMA and John Wiley & Sons Ltd Much existing work on new product development (NPD) team integration takes an economically rational perspective, specifying appropriate systems, structures and interactions. Few studies however have explored the effects of politics on working relationships between technically trained managers (TTMs; e.g., research and development managers) and marketing managers (MMs) during NPD. Our results reveal that intra-team politics has positive and negative effects on TTM/MM communication. This is important because communication positively influences collaboration and NPD success. Moreover, the effects of communication variables on these two outcome variables differ depending on whether one is a TTM or MM.

The evaluation and selection of advertisements with desired levels of attributes such as ethicality, likeability, humour, or information content, can be undertaken using a variety of methods. These include researchers' personal judgments, focus groups, expert panels, and ratings scale approaches. However, there is still no generally accepted systematic evaluation or selection procedure. This paper details a simple but powerful method known as ‘best–worst scaling’ (BWS) to evaluate and select advertisements on criteria of interest. BWS represents an important new tool for advertising researchers, advertising agencies and their clients, communications scholars, and policy makers to evaluate and select advertisements. This paper achieves three ends. First, it critiques existing methods of advertisement evaluation. Second, it demonstrates that BWS has greater validity than existing methods. Third, this is the first paper to present a worked example of how to use BWS, and demonstrate its use in an advertisement evaluation context. Importantly, BWS is not restricted to evaluating advertisements – it can be used to evaluate any items on criteria of interest.