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New Perspective Journal of Business and Economics
Article . 2025 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Self-Regulation Predictability on Active and Passive Procrastination Among Academics in Higher Education

Authors: Navraj Bhusal; Raj Kumar Bhattarai;

Self-Regulation Predictability on Active and Passive Procrastination Among Academics in Higher Education

Abstract

The study investigates the predictive role of self-regulation on active and passive procrastinatory behaviors among higher education academics. Data were collected through a survey of 409 respondents and analyzed using descriptive and inferential statistical methods. The findings reveal that self-regulation significantly influences both types of procrastination, identifying it as a strong predictor of procrastinatory behavior. This suggests that individuals with higher self-regulatory abilities are less likely to engage in procrastination, whether active or passive. The study also highlights differences in how self-regulation affects active versus passive procrastination, offering deeper insights into the mechanisms underlying these behaviors. These results contribute to a better understanding of the dynamics between self-regulation and procrastination in academic settings. Moreover, the study provides a valuable framework for designing targeted interventions aimed at enhancing self-regulatory skills among higher education faculty. Such interventions can potentially reduce procrastination, thereby improving the efficiency and effectiveness of the teaching and learning process. Overall, the research emphasizes the importance of strengthening self-regulation to mitigate procrastinatory tendencies in academic professionals, supporting improved educational outcomes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid