Portrayals of Minorities and Women in Super Bowl Advertising

Portrayals of women and minorities advertising have long been of interest to advertising scholars. While research has found that the overall representation of these groups has increased, some stereotypes persist, and so do questions about the quality and prominence of portrayals. This study examines portrayals of minorities and women in Super Bowl advertising, the main “pop culture” showcase for US advertising. A content analysis of 10 years of Super Bowl ads is conducted and a multinomial logit regression model is employed to delve deeper into the content analysis results. Findings show that while the overall representation of women and various minority groups is strong, a deeper analysis shows that these groups are seldom depicted as primary characters by themselves and that some subtle stereotypes persist. We also find that ads featuring female principal characters are more likely to feature home settings, sexual appeals, emotional messages, and music as a major element and that it is less likely for female (vs. male) celebrities to be used. Minority principal characters are more likely to be celebrities and be included in ads with music or for technical products but are less likely to be included in ads featuring corporate social responsibility messages.     

The measurement of left-right and libertarian-authoritarian values: A comparison of balanced and unbalanced scales

In this paper we compare the performance of balanced and unbalanced Likert scales of two core dimensions of political attitudes: left-right and libertarian-authoritarian values. The balanced scales control for the effects of acquiescence response sets, whereas the unbalanced scales do not. Using data from two panel surveys, balanced and unbalanced scales are compared for reliability, stability and validity both with each other, and with other measures of political ideology and values (left-right self-placement and postmaterialism). Both balanced and unbalanced versions of the left-right and libertarian-authoritarian Likert scales are found to be more stable and strongly associated with social characteristics than are the other measures. The unbalanced scales have slightly higher reliability than the balanced scales; they are also orthogonal, whereas balanced left-right and libertarian-authoritarian scales are moderately correlated. Unbalanced scales also display a slightly stronger relationship with social characteristics, but they do not differ in their pattern of association with political preferences. Differences between balanced and unbalanced scales are attributed to the effects of acquiescence bias. This needs to be considered when using the scales for substantive analyses, but its effects are not problematic.     

A reappraisal of the forecasting performance of corn and soybean new crop futures

Forecasting performance of December corn and November soybean futures contracts during the previous spring was evaluated using the commonly specified price-level and percent-change models. These models invoke different assumptions regarding stationarity. Using Stein's analytical framework, results for the price-level model suggest avoidable social loss existed in the soybean market since 1973, because November futures provided biased forecasts. Regression R²s for both corn and soybeans declined substantially between 1952–1972 and 1973–1997, suggesting total social loss increased. By contrast, results from the percent-change model suggest only unavoidable social loss existed in the corn and soybean markets, because the futures provided unbiased forecasts. R² increased for corn but declined for soybeans, suggesting unavoidable social loss declined for corn, but increased for soybeans. The important, conflicting nature of the results from the two models underscores the importance of examining alternative model specifications when evaluating price forecasting performance. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 604–618, 1999     

ROBUST BOUNDS FOR FORWARD START OPTIONS

We consider the problem of finding a model‐free upper bound on the price of a forward start straddle with payoff . The bound depends on the prices of vanilla call and put options with maturities T₁ and T₂ , but does not rely on any modeling assumptions concerning the dynamics of the underlying. The bound can be enforced by a super‐replicating strategy involving puts, calls, and a forward transaction. We find an upper bound, and a model which is consistent with T₁ and T₂ vanilla option prices for which the model‐based price of the straddle is equal to the upper bound. This proves that the bound is best possible. For lognormal marginals we show that the upper bound is at most 30% higher than the Black–Scholes price. The problem can be recast as finding the solution to a Skorokhod embedding problem with nontrivial initial law so as to maximize .     

Walking the talk about corporate social responsibility communication: An elaboration likelihood model perspective

Large organizations, including listed businesses, financial service providers as well as public services entities are increasingly disclosing information on their environmental, social and governance (ESG) issues through corporate websites or via social media. Therefore, this research uses valid measures from the Elaboration Likelihood Model (ELM) to explore the individuals’ attitudes toward online corporate social responsibility (CSR) communications. The data were gathered from a structured questionnaire among three hundred ninety-two respondents (n = 392). A structural equations modeling partial least squares (SEM-PLS 3) approach was used to analyze the data. The findings revealed that the timeliness, relevance and accuracy of information as well as the source expertise were highly significant antecedents that were affecting the research participants’ attitudes toward CSR communications. This contribution implies that there is scope for content curators to publish quality online information on their business activities to improve their trustworthiness and positive credentials among stakeholders.     

Researcher Interaction Biases and Business Ethics Research: Respondent Reactions to Researcher Characteristics

The potential for biased responses that occur when researchers interact with their study participants has long been of interest to both academicians and practitioners. Given the sensitive nature of the field, researcher interaction biases are of particular concern for business ethics researchers regardless of their preference for survey, experimental, or qualitative methodology. Whereas some ethics researchers may inadvertently bias data by misrecording or misinterpreting responses, other biases may occur when study participants’ responses are systematically influenced by the mere introduction of researchers into the participants’ environment. Although substantial empirical research has been conducted on the general topic of researcher interaction biases, none has focused specifically on business ethics research. In order to remedy this lack of empirical substantiation in the field, we review the related literature on researcher interaction biases, present an empirical example of how such biases can influence research results in an experiment assessing reactions to insurance fraud, and discuss the implications for business ethics research.     

The Assimilative and Contrastive Effects of Word-of-Mouth Volume: An Experimental Examination of Online Consumer Ratings

The popularity of online rate-and-review websites has increased the importance of word-of-mouth (WOM) volume (number of ratings) yet the retail literature has not paid adequate attention to understanding its impact. This paper highlights WOM volume as a high-scope, decision-making cue upon which the influence of other WOM-relevant characteristics on a WOM message's persuability depends. We begin, via a pretest, by demonstrating the intuitive expectation that high volume, relative to low volume, accentuates or assimilates perceptions of positivity or negativity of WOM targets. Then, through two experimental studies, we show that depending upon how high volume interacts with WOM consensus and consumer decision precommitment, it can contrast preference away from the valence of a target also. In our third and final experimental study, we demonstrate that consumers differ in their susceptibility to the influence of high volume. Those with a higher desire to be different from others, compared to those with a higher desire to be similar, are resistant to high volume's assimilative sway and do not show the valence-accentuating effects demonstrated in the pretest. Retail managers and researchers should find these insights about the different roles of WOM volume beneficial.     

Local competition, entry, and agglomeration

This paper analyzes competition between two spatially differentiated multi-product retailers who encounter entry from a low-cost discounter. We assess how entry affects the pricing of the incumbent stores and the role played by the location of the entrant. Our primary objective is to identify how traditional retailers respond to new forms of low-cost retailing. Results show that post entry, the prices for some products are higher than the pre entry. However, which product prices increase depends on the incumbent’s location. Contrary to conventional wisdom, we find that the store closer to the entrant is better off compared to the incumbent located further away. We empirically demonstrate the main workings of our theory using sales data from several grocery stores that saw entry by discount stores in their trading areas.