Understanding the Ethical Cost of Organizational Goal-Setting: A Review and Theory Development

Goal-setting has become a popular and effective motivational tool, utilized by practitioners and substantiated with decades of empirical research. However, the potential for goal-setting to enhance performance may come at the cost of ethical behavior. I propose a theoretical model linking attributes of goals and goal-setting practices to unethical behavior through two psychological mechanisms – ethical recognition and moral disengagement; and addressing the moderating role of individual differences (e.g., goal-commitment and conscientiousness), as well as the broader organizational ethical context.     

SHORT‐MATURITY OPTIONS AND JUMP MEMORY

We investigate jump memory using an extensive database of short‐term S&P 500 index options. Jump memory refers to the attenuation of the implied jump intensity and magnitude parameters following a crash event. We use a genetic algorithm to obtain a time series of implied parameter estimates and posit behavioral and rational explanations for parameter attenuation following a crash event. We find that a nested form of the jump‐diffusion model sharpens the remaining parameter estimates and has a negligible effect on pricing accuracy.     

Corruption and Unethical Behavior: Report on a Set of Danish Guidelines

Corruption is defined as private individuals or enterprises who misuse public resources for private power and/or political gains. They do so through abusing public officials whose behavior deviates from the formal government rules of conduct. Ethical behavior is defined as individuals or enterprises adhering to a non-corrupt work or business practice. A review of the academic literature is conducted drawing on perspectives from the political, economic, and anthropological sciences. Insights from a Danish research program are reported on. This program identifies five different actions for dealing with corruption: (1) no action; (2) withdrawals from markets; (3) decentralized decision-making process; (4) establishment of an anti-corruption code; and (5) mutual commitment through integrity pact. The following aspects of ethical behavior should be regulated through an anti-corruption code: the company vis-à-vis political parties; gifts and entertainment expenses; political campaign contributions; and policy against small-scale corruption. Directions for future research are considered including the role of international organizations and multinational companies in fighting corruption and fostering ethical behavior; the role of countries and their governments; and the management systems.     

Multi-firm voluntary disclosures for correlated operations

We study the no-arbitrage theory of voluntary disclosure (Dye, J Account Res 23:123–145, 1985, and Ostaszewski and Gietzmann, Rev Quant Financ Account 31: 1–27, 2008), generalized to the setting of $n$ firms, simultaneously and voluntarily, releasing at the interim-report date ‘partial’ information concerning their ‘common operating conditions’. Each of the firms has, as in the Dye model, some (known) probability of observing a signal of their end of period performance, but here this signal includes noise determined by a firm-specific precision parameter. The co-dependency of the firms results entirely from their common operating conditions. Each firm has a disclosure cutoff, which is a best response to the cutoffs employed by the remaining firms. To characterize these equilibrium cutoffs explicitly, we introduce $n$ new hypothetical firms, related to the corresponding actual firms, which are operationally independent, but are assigned refined precision parameters and amended means. This impounds all existing correlations arising from conditioning on the other potentially available sources of information. In the model the actual firms’ equilibrium cutoffs are geometric weighted averages of these hypothetical firms. We uncover two countervailing effects. Firstly, there is a bandwagon effect, whereby the presence of other firms raises each individual cutoff relative to what it would have been in the absence of other firms. Secondly, there is an estimator-quality effect, whereby individual cutoffs are lowered, unless the individual precision is above average.     

Intertemporal substitution and new car purchases

This article presents a dynamic demand model for motor vehicles. This approach accounts for the change in the mix of consumers over the model year and measures consumers' substitution patterns across products and time. I find intertemporal substitution is significant; consumers are more likely to change the timing of their purchase in reaction to a price increase rather than buy another vehicle in the same period. Further, I find automakers' use of large cash‐back rebates at the end of the model year, although boosting overall sales, induces large numbers of consumers to delay their purchases and so pay lower prices.     

An analysis of air mass effects on rail ridership in three US cities

This paper examines whether daily weather affects ridership in urban transportation systems. When examining human–weather relationships, it is often advantageous to examine air masses, which take into account the entire parcel of air over a region. Spatial synoptic classification characterizes air masses based upon numerous meteorological variables at a given location. Thus, rather than examining temperature or precipitation individually, here we compare daily ridership to synoptic air mass classifications for three urban rail systems: Chicago Transit Authority (CTA), Bay Area Rapid Transit (BART), and the Hudson–Bergen light-rail line in northern New Jersey. Air masses are found to have a significant impact on daily rail ridership, with usage typically increasing on dry, comfortable days and decreasing on moist, cool ones, particularly on weekends. Although the comfort of a particular air mass changes throughout the year, seasonality is not a significant factor with respect to the air mass–ridership relationship. The results of this study can benefit rail system managers who must predict daily ridership or in the development of cost-benefit analyses for station improvements.     

Counter-intuitive effects of domestic law enforcement policies in the United States

In spite of the increase in domestic law enforcement policies in the U.S. drug related crime has followed a non-monotonic trend and cocaine and heroin prices, instead of increasing, have been dropping or remained stable over time. All this in a context of an increase in these drugs’ consumption during the 1980s and a small decrease during the 1990s. This paper provides an explanation to these counter-intuitive effects of domestic law enforcement policies. We model how drug lords respond to this type of policy within a conflict framework over the control of distribution activities for illegal drugs, which is novel. The model predicts drug distribution activities, drug prices and drug consumption. These predictions appear to be consistent with the empirical evidence in the United States.