• Investigating the determinants of successful budgeting with SVM and Binary models.

    Author(s):
    Naveen Kunnathuvalappil Hariharan (see profile)
    Date:
    2021
    Subject(s):
    Machine learning
    Item Type:
    Article
    Permanent URL:
    http://dx.doi.org/10.17613/rr93-fx29
    Abstract:
    Learning the determinants of successful project budgeting is crucial. This research attempts to empirically find the determinants of a successful budget. To find this, this work applied three different supervised machine learning algorithms for classification: Support Vector Machine (SVM), Logistic regression, and Probit regression with data from 470 projects. Five features have been selected: coordination, participation, budget control, communication, and motivation. The SVM analysis results showed that SVM could predict successful and failed budgets with fairly good accuracy. The results from Logistic and Probit regression showed that if managers properly focus on coordination, participation, budget control, and communication, the probability of success in project-budget increases.
    Metadata:
    Published as:
    Journal article    
    Status:
    Published
    Last Updated:
    1 year ago
    License:
    Attribution-NonCommercial-ShareAlike
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