Predicting Success in Using ERP Systems
BR Lea, D Mirchandani, M Sumner - … of the 2020 Computers and People …, 2020 - dl.acm.org
BR Lea, D Mirchandani, M Sumner
Proceedings of the 2020 Computers and People Research Conference, 2020•dl.acm.orgThis research explores the influence of personality types on ERP system learning
performance. Four personality types were identified using cluster analysis based on the Big
Five personality traits, ie, conscientiousness, neuroticism, extraversion, openness, and
agreeableness. These four personality types were found to be significantly associated with
ERP learning performance. Additionally, prior knowledge, learning motivation, demographic
factors (such as gender, age, year in school), and social as well as culture influences were …
performance. Four personality types were identified using cluster analysis based on the Big
Five personality traits, ie, conscientiousness, neuroticism, extraversion, openness, and
agreeableness. These four personality types were found to be significantly associated with
ERP learning performance. Additionally, prior knowledge, learning motivation, demographic
factors (such as gender, age, year in school), and social as well as culture influences were …
This research explores the influence of personality types on ERP system learning performance. Four personality types were identified using cluster analysis based on the Big Five personality traits, i.e., conscientiousness, neuroticism, extraversion, openness, and agreeableness. These four personality types were found to be significantly associated with ERP learning performance. Additionally, prior knowledge, learning motivation, demographic factors (such as gender, age, year in school), and social as well as culture influences were found to moderate the relationships between the personality types and ERP learning performance. These findings can provide valuable insights for the organizational success of ERP systems by helping to identify which users can learn to utilize these systems effectively.
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