Lordly Management and its Discontents: ‘Human Resource Management’ in Pakistan
Bibliographic record
Abstract
New institutionalism increasingly informs work on comparative human resource management (HRM), downplaying power and how competing logics play out, and potentially providing an incomplete explanation of how and why ‘HRM’ and associated practices vary in different national contexts. We examine HRM in Pakistan’s banking industry and assess how managers’ espoused views of HRM practices reflect prevailing ones in dominant HRM models, and how they differ from early-career professionals’ perceptions of these practices. The cultural script of ‘seth’ (a neo-feudalist construction of authority) influences managers’ implementation of HRM policies and competes with the espoused HRM logic. We argue that managers will pursue a ‘seth’ logic when managing employees, as it reproduces existing power differentials within companies. By doing so, they render HRM unrecognizable from dominant models. Indeed, by using the term ‘HRM’, much of the existing, new institutionalism-influenced literature rationalizes a particular view of organizations and management that is inappropriate and analytically misleading in emerging economies.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".