Loading...
Paper Type
ERF
Paper Number
1602
Description
Many firms have adopted big data analytics (BDA); however, it is unclear whether data analysts continue using BDA or prefer the conventional data analytics tools in these organizations. This research investigates what motivational factors could affect data analysts to continue using BDA in organizations. The study draws on self-determination theory (SDT) to develop a theoretical research model with three intrinsic motivational factors, including autonomy, competency, and relatedness, as the predictors for BDA continued use. The study will also explore the mediating role of BDA interestingness on the association between intrinsic motivation and BDA continued usage. Survey-based research will be outlined to test the proposed research model using structural equation modeling techniques. Prospective contributions and research limitations are also explained.
Recommended Citation
Javdan, Mohsen and Ghasemaghaei, Maryam, "Motivational Factors for Big Data Analytics Continued Use" (2021). AMCIS 2021 Proceedings. 14.
https://aisel.aisnet.org/amcis2021/adopt_diffusion/adopt_diffusion/14
Motivational Factors for Big Data Analytics Continued Use
Many firms have adopted big data analytics (BDA); however, it is unclear whether data analysts continue using BDA or prefer the conventional data analytics tools in these organizations. This research investigates what motivational factors could affect data analysts to continue using BDA in organizations. The study draws on self-determination theory (SDT) to develop a theoretical research model with three intrinsic motivational factors, including autonomy, competency, and relatedness, as the predictors for BDA continued use. The study will also explore the mediating role of BDA interestingness on the association between intrinsic motivation and BDA continued usage. Survey-based research will be outlined to test the proposed research model using structural equation modeling techniques. Prospective contributions and research limitations are also explained.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.