Preventing wildlife crime with a focus on orangutans: Applying social influence techniques to public education efforts

Orangutans are projected to become critically endangered or extinct this century if humans continue to destroy their habitat. Threats include legal and illegal clearcutting of rain forests to establish palm oil plantations, climate change, and transnational organized crime. This study examines how self-benefit and other benefit appeals, knowledge of threats, concern about habitat loss, and liking orangutans are associated with (a) intent to protect habitat due to licit threats and crimes against wildlife, and (b) seeking information to save habitat. Upon entry to a zoo, 251 (118 men, 128 women, and 5 unknown) persons viewed posters highlighting the benefits of habitat conservation to self or others and completed a survey. Concern, threat knowledge, liking, and self-benefit and other benefit appeals accounted for 28% of the variance associated with intent to take action to protect the habitat. Integrating social influence principles into zoo displays and addressing barriers that prevent conservation behavior are discussed. The ideas in this paper are relevant to many primates and endangered species.     

Linear versus process tracing approaches to judgment modelling: A new perspective on cue importance

For a bankruptcy prediction problem, the judgment formation process is studied using linear models and process tracing models. The linear models are constructed using traditional linear discriminant analysis techniques. The process tracing models are constructed using computer-generated algorithmically-based decision nets. All the models presented show good predictive accuracy. However, the linear models and process tracing models diverge widely on several measures of cue importance. This divergence, for a fairly straightforward problem, is intriguing since virtually all the evidence in the accounting literature about cue importance is based on linear models research. The importance of different information cues to decision-makers is clearly a critical issue in the design of effective accounting information systems. Thus, this study suggests the need for much more careful attention to the complex question of assessing cue importance.     

DEEP sleep: The impact of sleep on financial risk taking

In this paper, we examine the relationship between sleep and financial risk taking. The results indicate that individuals who have better sleep display less distortion of probability, are less susceptible to the present bias, and have a lower discounting rate. Specifically, individuals with better self‐reported sleep quality have less distortion of probability, a more curved utility function, and are less loss averse, while those with fewer sleep disturbances display less probability distortion and have more curvature in their utility function. Overall, the results show that there are cognitive deficits in financial decision making by having poor sleep habits that can have important consequences.     

Oil prices implied volatility or direction: Which matters more to financial markets?

We examine the impact of oil price uncertainty on US stock returns by industry using the US Oil Fund options implied volatility OVX index and a GJR-GARCH model. We test the effect of the implied volatility of oil on a wide array of domestic industries’ returns using daily data from 2007 to 2016, controlling for a variety of variables such as aggregate market returns, market volatility, exchange rates, interest rates, and inflation expectations. Our main finding is that the implied volatility of oil prices has a consistent and statistically significant negative impact on nine out of the ten industries defined in the Fama and French (J Financ Econ 43:153–193, 1997) 10-industry classification. Oil prices, on the other hand, yield mixed results, with only three industries showing a positive and significant effect, and two industries exhibiting a negative and significant effect. These findings are an indication that the volatility of oil has now surpassed oil prices themselves in terms of influence on financial markets. Furthermore, we show that both oil prices and their volatility have a positive and significant effect on corporate bond credit spreads. Overall, our results indicate that oil price uncertainty increases the risk of future cash flows for goods and services, resulting in negative stock market returns and higher corporate bond credit spreads.     

Extending corporate accountability: A survey and framework for analysis

This paper has three objectives: to review the state of the art with regard to the literature on corporate internal audit activities; to report on a research study of recent developments in the scope and organization of the internal audit function in major companies in U.S.A.; and to propose an analytical framework which may be used in future research to describe the scope, procedures and responsibilities of the corporate internal audit function. Although there appears to be some confusion in the extant literature regarding the definition and scope of certain internal audit efforts, this research provides new evidence that major U.S. companies are engaging in unprecedented experiments into the use of auditing as a tool for enforcing management and social accountability. This is a movement away from the traditional financial audit which is frequently assumed to fully circumscribe the internal audit function. The implications for implementing heightened standards of corporate accountability should be of interest to audit committees of boards of directors, corporate management, investors, consumers, and future researchers.