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A Smallest Space Analysis (Ssa) Of Potential Work Mobility.

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    Summary
    This summary is machine-generated.

    This study introduces smallest space analysis to explore employee work mobility. Findings show potential organizational and occupational mobility is structured as anticipated, based on incentives.

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    Area of Science:

    • Organizational Psychology
    • Sociology of Work
    • Human Resource Management

    Background:

    • Understanding employee work mobility is crucial for organizational planning and career development.
    • Existing methods may not fully capture the complex structure of potential job changes.
    • Incentives play a key role in shaping employee career paths.

    Purpose of the Study:

    • To introduce and validate smallest space analysis as a novel methodological approach for examining work mobility.
    • To operationally define work mobility based on organizational and occupational incentives.
    • To empirically test the proposed definition using data from system analysts.

    Main Methods:

    • Smallest Space Analysis (SSA): A non-metric multidimensional scaling technique.
    • Operational Definition: Quantifying work mobility via amounts and kinds of organizational and occupational incentives.
    • Empirical Data: Collection and analysis of data from system analysts in Israel.

    Main Results:

    • Smallest space analysis effectively visualized the structure of potential work mobility.
    • The proposed operational definition of work mobility demonstrated empirical validity.
    • Potential mobility was found to be structured largely as hypothesized, considering both organizational and occupational factors.

    Conclusions:

    • Smallest space analysis is a viable and informative method for studying work mobility.
    • The structure of potential work mobility is significantly influenced by a combination of organizational and occupational incentives.
    • This research provides a framework for better understanding and predicting employee career movements.