The influence of narcissism, Machiavellianism and psychopathic personality traits on leader's preferences in followers

Abstract

This paper assesses the implications ofNarcissism, Machiavellianism and psychopathic personality traits on leaders' preferences in followers. The research was conducted from the perspective of leaders who possess any of these "dark" personalities and their preferences in followers. This research gives followers a sense of what to expect if confronted with a situation in which a system is run a by a leader who possesses any of these three "dark" personality traits.The results indicated that Narcissistic leaders with a dominant sub characteristic of selfishness prefer followers who are achievers, proficient and ambitious. Narcissists who like authority Finally, indecisive psychopaths prefer followers who are independent.

Handbook of Research on Natural Computing for Optimization Problems

“…Circuit partitioning in VLSI is an important field for the application of optimization algorithm. Several software EA algorithms are proposed and customized boards are designed based on those algorithms (Manikas, & Cain, 1996;Bui, & Moon, 1998;Koonar, 2003;Areibi, Moussa, & Koonar, 2005). One such example is the design by Koonar (2003) using Very High Speed Integrated Circuits Hardware Description Language (VHDL) to develop an application specific GA architecture to address circuit partitioning in VLSI.…”

“…• Many of these architectures (Scott, 1994) are not portable and cannot be implemented on other platforms. • Some of the implemented GAs, such as in Koonar, 2003;Kok et al, 2013) are application specific.…”

“…The authors of , Koonar (2003Koonar ( ,2005, Scott (1994), , Shackleford (2001), Aporntewan and Chongstitvatana (2001), Tang and Leslie (2004), Vavouras, Papadimitriou and Papaefstathiou (2009, July), Chen et al (2008), Fernando et al (2010), Kok et al (2013), Nambiar, Balakrishnan, Khalil-Hani, and Marsono (2013), Ashraf, and DeMara (2013) and a number of researchers indicated regarding the hardware implementation of GA. Most of the works in this field have targeted the development of fast GA hardware that outperforms the software GAs in speed.…”