UMGC Library

UCSP 605 and ASC 601: Articles by Discipline: Data Analytics

Clack, L., & Woeppel, J. (2018). Data analytics drives strategic planning in healthcare. Journal of AHIMA, 89(6), 42–43.

Dolezel, D., & McLeod, A. (2019). Big data analytics in healthcare: Investigating the diffusion of innovation. Perspectives in Health Information Management, 1–19.

Kaila, S. (2020). How can businesses leverage data analytics to influence consumer purchase journey at various digital touchpoints? Journal of Psychosocial Research, 15(2), 699–714. https://doi.org/10.32381/JPR.2020.15.02.30 

Khan, A., Gul, M. A., Uddin, M. I., Ali Shah, S. A., Ahmad, S., Al Firdausi, M. D., & Zaindin, M. (2020). Summarizing online movie reviews: A machine learning approach to big data analytics. Scientific Programming, 1–14. https://doi.org/10.1155/2020/5812715 

Lnenicka, M., & Komarkova, J. (2019). Big and open linked data analytics ecosystem: Theoretical background and essential elements. Government Information Quarterly, 36(1), 129–144. https://doi.org/10.1016/j.giq.2018.11.004

Mariani, M. M., & Fosso Wamba, S. (2020). Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies. I, 338–352. https://doi.org/10.1016/j.jbusres.2020.09.012 

Park, J., Lee, S., Oh, C., & Choe, B. (2021). A data mining approach to deriving safety policy implications for taxi drivers. Journal of Safety Research, 76, 238–247. https://doi.org/10.1016/j.jsr.2020.12.017 

Raguseo, E., & Vitari, C. (2018). Investments in big data analytics and firm performance: An empirical investigation of direct and mediating effects. International Journal of Production Research, 56(15), 5206–5221. https://doi.org/10.1080/00207543.2018.1427900 

Zhu, S. (2021). Analysis of the severity of vehicle-bicycle crashes with data mining techniques. Journal of Safety Research, 76, 218–227. https://doi.org/10.1016/j.jsr.2020.11.011