Understanding the Effect of Television Advertising on Women's Attitudes and Purchase Intentions Towards Beer: A Study of Three Major Brands.

Abstract Purpose of Paper: The market for beer in the UK is now mature and sales have been stable at around £16bn for about ten years (Mintel 2014). More recently, there have been changes in the market as consumers have switched from bigger mainstream brands to a growing number of smaller craft beers. However, in order to grow further significantly, the industry needs to explore new market segments and find new consumers for beer. So far, it is estimated that only 1.3m women in the UK drink beer (O'Reilly, 2014; Mail Online, 2015). Women are therefore an underexplored segment and present the main growth opportunity for beer drinking in the UK. However, most beer television advertising has traditionally been aimed at the male audience and there have been suggestions that some of this advertising has been seen as unpopular with or even insulting to women (Jackson, 2013; Zwarun et al., 2006). The Chief Executive of major brewer SAB Miller, which owns the Foster's brand, has recently written that, 'We have to acknowledge that core lager advertising, for many years, was either dismissive of, or insulting to, women.' (Shubber, 2015). If women are to be the new consumers and the future target for beer advertising, there is therefore a significant gap in the knowledge and literature concerned with how women differ from men in responding to the television advertising produced by beer brands and it is important that this gap in knowledge is addressed. The purpose of this paper is therefore to explore the effect of the television advertising of the three top selling UK beer brands on women's attitudes and purchase intentions towards those brands. More specifically, the objectives are: 1) To gain an understanding of how female consumers respond to existing beer television advertising, specifically in terms of the ‘likeability’ of the content of TV commercials produced by the three leading UK beer brands among female consumers. 2) To examine the effect of the rational and emotional content, including the use of humour, in television commercials produced by the three leading UK beer brands on the attitudes of female consumers towards those brands. 3) To explore in-depth female consumer attitudes towards the content (message cues and symbolism) of the television commercials produced by the three leading beer brands in the UK and their effect on subsequent purchase intentions for each brand.

Keyword Competition and Determinants of Ad Position in Sponsored Search Advertising

Given the significant growth of the Internet in recent years, marketers have been striving for new techniques and strategies to prosper in the online world. Statistically, search engines have been the most dominant channels of Internet marketing in recent years. However, the mechanics of advertising in such a market place has created a challenging environment for marketers to position their ads among their competitors. This study uses a unique cross-sectional dataset of the top 500 Internet retailers in North America and hierarchical multiple regression analysis to empirically investigate the effect of keyword competition on the relationship between ad position and its determinants in the sponsored search market. To this end, the study utilizes the literature in consumer search behavior, keyword auction mechanism design, and search advertising performance as the theoretical foundation. This study is the first of its kind to examine the sponsored search market characteristics in a cross-sectional setting where the level of keyword competition is explicitly captured in terms of the number of Internet retailers competing for similar keywords. Internet retailing provides an appropriate setting for this study given the high-stake battle for market share and intense competition for keywords in the sponsored search market place. The findings of this study indicate that bid values and ad relevancy metrics as well as their interaction affect the position of ads on the search engine result pages (SERPs). These results confirm some of the findings from previous studies that examined sponsored search advertising performance at a keyword level. Furthermore, the study finds that the position of ads for web-only retailers is dependent on bid values and ad relevancy metrics, whereas, multi-channel retailers are more reliant on their bid values. This difference between web-only and multi-channel retailers is also observed in the moderating effect of keyword competition on the relationships between ad position and its key determinants. Specifically, this study finds that keyword competition has significant moderating effects only for multi-channel retailers.

Application of the entropy technique and genetic algorithms to construction site layout planning of medium-size projects

Genetic algorithms (GAs) have been introduced into site layout planning as reported in a number of studies. In these studies, the objective functions were defined so as to employ the GAs in searching for the optimal site layout. However, few studies have been carried out to investigate the actual closeness of relationships between site facilities; it is these relationships that ultimately govern the site layout. This study has determined that the underlying factors of site layout planning for medium-size projects include work flow, personnel flow, safety and environment, and personal preferences. By finding the weightings on these factors and the corresponding closeness indices between each facility, a closeness relationship has been deduced. Two contemporary mathematical approaches - fuzzy logic theory and an entropy measure - were adopted in finding these results in order to minimize the uncertainty and vagueness of the collected data and improve the quality of the information. GAs were then applied to searching for the optimal site layout in a medium-size government project using the GeneHunter software. The objective function involved minimizing the total travel distance. An optimal layout was obtained within a short time. This reveals that the application of GA to site layout planning is highly promising and efficient.