Of Maslow, motives, and managers: The hierarchy of needs in American business, 1960–1985
Bibliographic record
Abstract
This paper examines the impact of psychologist Abraham Maslow's hierarchy of needs in American management. I trace how a roster of management experts translated the hierarchy of needs into management through case studies of job redesign programs at Texas Instruments and marketing firm Young & Rubicam's management training. The hierarchy of needs resonated with management, I argue, because it seemed to offer both a concrete guide for management, with practical implications for designing management training and work structures, alongside a broader social theory that purported to explain changing social values and economic circumstances in America. For the management theorists who invoked the hierarchy of needs, the corporation served as both the prime site for people to fulfill their higher psychological needs and the ideal site to study and cultivate motivation. This article contributes to histories of psychology that show how psychology became a prominent resource in American public life.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".