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The Determinant of Women Self leadership among Generation X and Y

Author

Listed:
  • Tan Suzanne
  • Aruna Raj Devarajoo
  • Vimala Kadiresan
  • Ramesh Kumar Moona Haji Mohamed

Abstract

Most organization suffers from the shortage of leadership personnel as retirement of babyboomers are increasing the remaining are generation X and Y. However the women those are competent enough to be the candidate with their outstanding performance still faces a strong setback due to the unseen barriers and this may vary with generations. The overall purpose to carry out this research was to identify and propose a conceptual model for the determinants of women self leadership among generation X and Y. It is crucial to study on how the determinants will influence the women self leadership, as well as to the different generations. The different determinants focused on the Capabilities, Family Influence, Self-efficacy and Masculinity-Femininity. Base from the literature review this current study found a gap which is generations as a moderating effect between capabilities, family influence, self-efficacy and masculinity-femininity that influence women’s self leadership.

Suggested Citation

  • Tan Suzanne & Aruna Raj Devarajoo & Vimala Kadiresan & Ramesh Kumar Moona Haji Mohamed, 2014. "The Determinant of Women Self leadership among Generation X and Y," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(10), pages 386-399, October.
    • Handle: RePEc:hur:ijarbs:v:4:y:2014:i:10:p:386-399
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    References listed on IDEAS

    as
    1. Toh, Soo Min & Leonardelli, Geoffrey J., 2012. "Cultural constraints on the emergence of women as leaders," Journal of World Business, Elsevier, vol. 47(4), pages 604-611.
    2. Zhang, Zhen & Ilies, Remus & Arvey, Richard D., 2009. "Beyond genetic explanations for leadership: The moderating role of the social environment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 110(2), pages 118-128, November.
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