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Related Experiment Videos

A practical approach to determining training-solvable problems.

D L Bates

    The Personnel Journal
    |January 12, 1980
    PubMed
    Summary
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    Companies can improve training effectiveness by using existing data for problem diagnosis. This data-driven approach ensures more accurate and cost-efficient training solutions.

    Area of Science:

    • Organizational Development
    • Human Resources Management
    • Business Analytics

    Background:

    • Employee training is crucial for business growth.
    • Identifying the right problems for training can be challenging.
    • Traditional methods may not be cost-effective or precise.

    Purpose of the Study:

    • To present a model for diagnosing training needs.
    • To emphasize the use of existing data in this diagnosis.
    • To offer a cost-effective and accurate approach to identifying training problems.

    Main Methods:

    • Literature review on training needs assessment.
    • Consulting experience within a large organization.
    • Development of a data-driven diagnostic model.

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    Main Results:

    • A model that prioritizes existing data for diagnosis.
    • Demonstrated cost-effectiveness and accuracy in identifying training needs.
    • Practical application within a large organizational context.

    Conclusions:

    • Existing data is a valuable resource for training needs assessment.
    • A data-driven model leads to more precise and economical training solutions.
    • The proposed model supports strategic decision-making for progressive companies.