SELF-LEADERSHIP AS A MOTIVATIONAL MECHANISM: TOOL FOR HUMAN CAPITAL DEVELOPMENT (original) (raw)
Self-leadership is a humanistic approach toward organizational behaviour because it is a prescription governing human activity in organizations. Self-leadership prescribes behavioural and cognitive strategies that is categorised into three such as behaviour focused, natural reward, and constructive thought pattern. According to self-leadership research, individuals who have self-leadership skills tend to improve their performance and thus enhance organisational capability. Based on this foundation, self-leadership is suggested as a mechanism to enhance human capital development and to achieve effective work attitudes and outcomes. However, self-leadership is still an under-researched topic. Hence, this study aimed to examine the relationship between individual and situational characteristics with self-leadership behaviours in academia. The objectives of this study were to investigate and assess the effect of individual traits on self-leadership; to examine whether the relationship between individual traits and self-leadership is moderated by situational characteristics; to address some of the methodological limitations of previous research by investigating the interaction effect between individual and situational factors on self-leadership at two points in time; and to study these relationships in two culturally different samples, comprised of people from different university settings. For Study 1, hierarchical regression was used to analyse the individual characteristics of self-leaders; whereas for Study 2, structural equation modelling (SEM) was used to analyse latent interaction effects. The findings indicate that individual characteristics (i.e., conscientiousness, extraversion, openness to experience, and affective commitment) do indeed predict self-leadership. In addition, perceived stressful environment was found to moderate the relationships between individual traits and self-leadership behaviours. This study employed a rigorous validation technique using SEM and therefore, this study was able to address some of the methodological limitations of previous studies such as common method variance by examining the proposed relationships in a longitudinal setting with two waves.
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