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Diffusion of responsibility [1] is a sociopsychological phenomenon whereby a person is less likely to take responsibility for action or inaction when other bystanders or witnesses are present. Considered a form of attribution , the individual assumes that others either are responsible for taking action or have already done so.
The effects of networks and institutional environment on adoption of innovations can be explained using a social network theory model. In such a model, nodes represent agents (e.g. companies or organizations) and ties represent a connection between two entities (e.g. a company-client relationship or competitive relationship). Diffusion occurs ...
Findings from behavioral game theory will tend to have higher external validity and can be better applied to real world decision-making behavior. [14] Behavioral game theory is a primarily positive theory rather than a normative theory. [14] A positive theory seeks to describe phenomena rather than prescribe a correct action.
Intergroup relations refers to interactions between individuals in different social groups, and to interactions taking place between the groups themselves collectively.It has long been a subject of research in social psychology, political psychology, and organizational behavior.
The dictator game is a popular experimental instrument in social psychology and economics, [1] a derivative of the ultimatum game. The term "game" is a misnomer because it captures a decision by a single player: to send money to another or not. [2] Thus, the dictator has the most power and holds the preferred position in this “game.”
Some of the Bass-Model extensions present mathematical models for the last two (Maturity and Decline). MS-Excel or other tools can be used to solve the Bass model equations, and other diffusion models equations, numerically. Mathematical programming models such as the S-D model apply the diffusion of innovations theory to real data problems. [81]
In social psychology, group polarization refers to the tendency for a group to make decisions that are more extreme than the initial inclination of its members. These more extreme decisions are towards greater risk if individuals' initial tendencies are to be risky and towards greater caution if individuals' initial tendencies are to be cautious. [1]
The goal of diffusion models is to learn a diffusion process for a given dataset, such that the process can generate new elements that are distributed similarly as the original dataset. A diffusion model models data as generated by a diffusion process, whereby a new datum performs a random walk with drift through the space of all possible data. [2]