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Ahmad, S., Miskon, S., Tawfeeq, A. A., & Tlili, I. (2020). Modeling of Business Intelligence Systems Using the Potential Determinants add Theories with the Lens of Individual, Technological, Organizational, and Environmental Contexts—A Systematic Literature Review. Applied Sciences, 10, 3208.
https://doi.org/10.3390/app10093208

has been cited by the following article:

• TITLE: Challenges and opportunities of completing successful projects using Earned Value Management

  AUTHORS: Cedric Stone

  KEYWORDS: Aleatory Risk, Epistemic Risk, Provisioning Issues, Systemic Issues, Risk Uncertainty

  JOURNAL NAME: Open Journal of Business and Management, Vol.11 No.2, March 10, 2023

  ABSTRACT: This research proposed analyzing projects from a risk uncertainty perspective by using EVM to predict the systemic (Epistemic Risk) and provisioning (Aleatory risk) uncertainties to achieve project success. The results of the study synthesized empirical findings with theories and concepts. To bridge the gap, this research study focuses on minimizing or alleviating epistemic and aleatory risk uncertainties. The research method included a qualitative exploratory study with thematic analysis. The participants for the study were project managers with a PMP certification and EVM knowledge who worked on government contract requirements and members of the local chapter of the Project Management Institute.