15 pages, The current study applied a “mixture-amount modeling” statistical approach—used most often in biology, agriculture, and food science—to measure the impact of advertising effort and allocation across different media. The authors of the current paper believe advertisers can use the mixture-amount model to detect optimal advertising-mix allocation changes as a function of their total advertising effort. The researchers demonstrated the use of the model by analyzing Belgian magazine and television data on 34 advertising campaigns for beauty-care brands. The goal is to help advertisers maximize desirable outcomes for campaign recognition and brand interest.
14 pages., Via online journal., Guided by the theory of reasoned action and social cognitive theory, this study was conducted to better understand how decisions to purchase organic or conventional milk are influenced by norms and attitudes established via human interactions and how those norms and attitudes vary by geographic region. An online Qualtrics survey was used to gain insight into behaviors, attitudes, and interactions of 308 milk consumers in various geographical regions of [State]. The findings indicate that urban, suburban, and rural consumers differ in some ways in their interactions related to milk information, as well as their perceptions of organic versus conventional milk. Based on the findings of the study, differences in personal networks and exposure to certain messaging in varying regions might perpetuate a more positive, confident, and informed view of organic or conventional milk products in some areas more so than others. The researchers recommend using the results of the study to tailor messages to the specific information needs of consumers in urban, suburban, and rural regions of [State].
