Risky shift: An empirical investigation and implications for industrial buying behavior and marketing management

This study attempts to determine whether the nature of the industrial buying process has an effect on the riskiness of its decisions. Research has shown that group discussion of alternatives has a tendency to shift initial risk preferences of individuals and groups. This social phenomenon, known as “risky shift,” has important implications for marketers since many decisions involve group consensus or social influence if decisions are made by a single individual. It was posited that the influence of others, mainfested by group discussion, will change the risk preference in both individual and group consensus decisions. An industrial supplier selection decision was presented to 92 marketing students in which five alternative sources of supply were described in reference to various performance criteria. The data clearly reflected statistically significant changes in risk preferences as a result of group discussion in both the individual before-individual after and individual before-group after type decision.     

Aspects of complexity in citizen–bureaucrat corruption: an agent-based simulation model

In this paper, the complexity-based approach is used to analyse corruption and its internal economics and dynamics. To better understand the drivers of corruption, we employ an agent-based model with heterogeneous agents (bureaucrats and citizens), the interactions of which determine the level of corruption in a society. The emergence of a prevailing social norm of corruption is shown to be significantly influenced by the initial conditions (i.e., history and habits). A cost analysis demonstrates that a relatively limited financial investment is required for the phase transition from the corrupt to the non-corrupt state. The concept of opportunity costs is used to express the value of information shared within an agent’s social group that improves agent decision-making. Incomplete information and uncertainty in the legal system help to reduce corruption by promoting a fear of engaging in corruption in a society. The results of this research may offer useful insights for informing an effective anti-corruption policy.

     

Agent based model of a simple economy

This article proposes a model of a simple economy based on a set of agent-based modeling principles. The model is based on the ??trust game?? formulated by Berg et?al. (Games Econ Behav 10:122?C142, 1995), and anticipates a random matching of partners taking in to account adaptive agent behavior. Simulation in the NetLogo programming environment, using profile distributions obtained from empirical studies, has shown the most successful agents to posses low parameters of trust in the role of Sender and high parameters of trustworthiness in the role of Receiver.