Although normal distributions and related current quantitative methods are still relevant for
some organizational research, the growing ubiquity of power laws signifies that Pareto …

Complex network studies, as an interdisciplinary framework, span a large variety of subjects
including social media. In social networks, several mechanisms generate miscellaneous …

This “comment” begins with a summary of the various complexity concepts (ingredients) that
relate to the creation and development of effective startup companies. No single complexity …

This paper analyzed the spreading effect of industrial sectors with complex network model
under perspective of econophysics. Input-output analysis, as an important research tool …

Complexity science has the potential to explain emergence; unfortunately most
management applications of complexity rarely define emergence. We develop a typology …

In a risk analysis framework, food chain safety measures should be objective and
scientifically based. Network science-as a decision support tool-may have an important role …

We test whether “detrended fluctuation analysis”(DFA)—an econophysics method—
identifies the transition from efficient-market trading to herding behavior and the rise of the …

An overview of microsystems technology is presented along with a discussion of the recent
trends and challenges associated with its development. A typical bottom-up design …

The input-output table is comprehensive and detailed in describing the national economic
system with complex economic relationships, which embodies information of supply and …

A novel algebraic approach is proposed to study dynamics of asynchronous random
Boolean networks where a random number of nodes can be updated at each time step …