Rethinking revisited: insights from an early rethinker
Bibliographic record
Abstract
Purpose The purpose of this paper is to review and analyze Albert Hirschman’s landmark bookDevelopment Projects Observed, share its insights for managing big projects, discuss its theoretical implications and how it may contribute to the current understanding of project behavior, project management (PM), and in what way it may encourage the rethinking of PM. Design/methodology/approach The paper is based on an in-depth analysis of Hirschman’s book. The paper draws on the writings of Jeremy Adelman who authored Hirschman’s biography, Cass Sunstein and Michele Alacevich who, respectively, wrote the foreword and afterword of the Brookings Institution classic published in 2014. It also profits from the work of Robert Picciotto who first met Hirschman in 1964, and Bent Flyvbjerg who recently offered a test of validity for Hirschman’s “Hiding Hand” principle. Findings Albert Hirschman was an original thinker and, the authors argue in many ways, a father of PM scholarship. His ideas had profound implications for social sciences and lasting influence in academy, policy, and practice. Although, to a great extent based on studies of projects, his ideas have had surprisingly little impact on modern writings of PM. This paper contributes to amending this weakness in current literature on PM. The authors identify in Hirschman’s book a set of core ideas that possess analytical power for explaining problems in contemporary PM. They include the principle of the Hiding Hand, the power of context, the role of complexity and uncertainty, the unexpected project effects, project traits, and latitudes/disciplines. For all his work and way of research, the authors conclude that Hirschman is not only an early behavioral theorist in PM but equally an early rethinker of PM. Originality/value This is the first paper that offers a discussion of Hirschman’s ideas on contemporary projects, how to understand them, their behavior, including the principle of the Hiding Hand and other important nuggets of wisdom in his research such as the significance of project traits, latitudes, and disciplines. The authors discuss in what respects these ideas may enlighten PM practice and theory. This paper also conveys the novel idea that Hirschman is an early rethinker of PM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.041 | 0.108 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.018 | 0.049 |
| Scholarly communication | 0.025 | 0.037 |
| Open science | 0.005 | 0.017 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".