The project planning myth in international development
Bibliographic record
Abstract
Purpose The purpose of this paper is to improve understanding and practice of project management by assessing whether two of its core myths also prevail in international development (ID): first, that project managers (PMs) plan fully for project success, including implementation success and end‐user satisfaction; and second, that they can focus on “getting things done”, free of concern for strategic issues. Design/methodology/approach The analysis of a high‐profile World Bank project and of the policies and rules under which their PMs operate serves as a means to carry out the research. The authors uncover certain “facts” that challenge the myths that prevail in standard project management. Furthermore, they examine how these facts and the corollaries they produce guide the behaviours of PMs differently in the ID field. Findings In the ID field, and contrary to the standard practice in project management, it is found that: PMs are not involved in overall planning, and are limited to implementation planning, because they lack the necessary latitude. Hence, they practice project implementation as the art of avoiding making mistakes as they juggle donor procedures and guidelines. Second, PMs are well informed about the overall strategy of their project, which is articulated by the donors and the beneficiary country, but they are limited in their ability to contribute directly to its success. Thus, they may fail to deliver the intended development strategy even if they “get things done”. Research limitations/implications This paper argues that these two core PM tenets are convenient myths at best, given the asymmetrical distribution of power, the strong front‐end activity, and the procedures orientation of international development projects. Practical implications This paper addresses questions regarding the nature and the content of the work of PMs in the context of ID. In contrast to other sectors, projects are found to be linked more clearly to the higher strategic issues, and yet PMs are less empowered to contribute to them. Thus, all stakeholders may have to revise their expectations regarding what PMs can realistically do in ID. These findings are relevant to scholars and practitioners alike. Originality/value The value of this paper lies in examining the basic question of “what PMs do”. Although ID has been project‐oriented since the 1950s, this question has not received much attention in standard PM literature. In assessing “what PMs do”, the paper also brings into question “what project management is”.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.042 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.078 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".