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Area of Science:

  • Organizational Psychology
  • Psychometrics
  • Cognitive Systems Engineering

Background:

  • The term 'bean counter' describes financial decision-makers focused on limiting spending.
  • The increasing prevalence of 'bean counters' necessitates a tool to profile this personality type.
  • Existing literature lacks scales to measure these specific organizational traits.

Purpose of the Study:

  • To develop and validate the Bean Counter Profiling Scale (BCPS).
  • To quantitatively depict the 'bean counter' personality typology in organizational settings.

Main Methods:

  • Scale item development based on qualitative literature.
  • Application of cognitive systems engineering principles.
  • Statistical analysis including hierarchical clustering (fuzzy c-means), exploratory factor analysis, and network analysis.

Main Results:

  • A six-element structural architecture emerged for the 68-item BCPS.
  • All employed statistical techniques converged on this structure.
  • This study pioneers the use of fuzzy c-means in conjunction with factor analysis for scale validation.

Conclusions:

  • The developed Bean Counter Profiling Scale provides a validated instrument for assessing 'bean counter' traits.
  • The scale's structural architecture offers insights into the multifaceted nature of this personality typology.
  • This research contributes novel psychometric methodology to organizational psychology.