MSOL-5106 v5

Jones, K. M. L. (2019). Learning analytics and higher education: A proposed model for establishing informed consent mechanisms to promote student privacy and autonomy. International Journal of Educational Technology in Higher Education, 16(1), N.PAG.
Big data can assist in tracking and analyzing students’ behaviors in universities. The issue arising is how do students keep their confidentiality and autonomy while big data is providing information. This is a study about the privacy information universities are gathering and how universities are using this information.

Aaltonen, A., Alaimo, C., & Kallinikos, J. (2021). The making of data commodities: Data analytics as an embedded process. Journal of Management Information Systems, 38(2), 401-429.
There is a process by which data is collected and managed into products to be sold to other organizations. This paper explores the creation of these products working with big data to assist an organization’s innovation and marketing efforts.

Hajli, N., Tajvidi, M., Gbadamosi, A., & Nadeem, W. (2020). Understanding market agility for new product success with big data analytics. Industrial Marketing Management, 86, 135-143.
The study discusses the ability of big data to create new product ideas. The finding of the study will assist organizations to be able to help products become successful through the use of big data.

Danielson, M. & Ekenberg, L. (2023). Chapter 2: Decision Modelling. In Real-Life Decision-Making (Vol. 1st). CRC Press.
In this reading resource, we examine decision situations that can be quite complicated. The goal is to improve your decision-making skills, both personally and professionally.