Abstract

This thesis aims to investigate the primary factors contributing to procrastination behavior. This exploration is driven by the TASKS framework, a methodology that systematically analyzes human behavior based on affective states, thinking skills, knowledge levels, and available resources. Given the complexity and variability of procrastination behavior among individuals, this study uses two distinct data types to capture the diversity and discrepancies in behavior patterns, ensuring a more comprehensive exploration of procrastination factors. The TASKS framework facilitates data analysis by coding, structuring, comparing, and synthesizing information. Subsequently, a procrastination mechanism is derived from these comparative analysis results. The results indicate that the affective component plays the most significant role in influencing procrastination, with negative feelings exerting the strongest impact. This research also identifies the other potential factors shaping procrastination behavior, with skills and available resources having the second greatest influence, whereas knowledge has the least. This study not only systematically identifies both potential and decisive factors of procrastination, but also assesses the validity of the TASKS framework in explaining its underlying mechanism.