The globalization of the economy, increasing number of transnational organizations, and rapid changes in robotics, information, and telecommunication technologies are just a few of the factors significantly altering organizational time scales, forms, complexity, and environments. Time scales...

Certain types of data, for example, texts and free-form interviews, tend to lend themselves to being analyzed in a qualitative fashion because they are hard to interpret and hence code. The ability to analyze and code such data often requires one to have an in-depth knowledge of the...

Motivated by the availability of continuous event sequences that trace the social behavior in a population e.g. email, we believe that mutually exciting Hawkes processes provide a realistic and informative model for these sequences. For complex mutually exciting processes, the numerical...

This paper addresses the issue of agent style—proactive and reactive—from a theoretical perspective. The results show that agent style, though often considered key in decision making, only affects the organization's performance when the organization is under moderate time pressure. Further,...

The potential linkages between artificial intelligence and sociology are growing. This growth is due to importation of artificial intelligence techniques into methodological tools for data analysis, a growing interest among researchers in artificial intelligence in the socially situated agent,...

Organizations can be characterized as complex systems composed of adaptive and intelligent agents. Organizational adaptation occurs through restructuring and learning. Organizations can be modeled using a dual-level model in which restructuring is modeled as a simulated annealing process and...