Lean Production, Izzat and Industrial Conflict in the Indian Auto Sector: A Case Study
Bibliographic record
Abstract
The purpose of this article is to highlight the role that Izzat played in the unfolding industrial disputation that emerged at the Toyota plant in Bangalore between 1999 and 2007. Isolated instances contributed to a build-up of employee and community resentment at what was perceived as an attack on Izzat. Behind the events is the attempt to transpose Japanese “lean production and management systems” into an Indian subsidiary where local industrial and cultural conditions were not suitable for the imposition of such practices from headquarters to a subsidiary. The result of the analysis contributes to the understanding of workplace industrial relations (IR) in India and the centrality of Izzat. Within India, the significance of trade unions; the respect of employees; the importance of family and community; the importance of seniority; and the role of respect and honour are factors that multinationals often fail to understand in the design and implementation of their production and HRM systems. The study contributes to the debate over the transferability of standardized HRM policies and practices. MNEs should play a proactive role in supporting the employees of subsidiaries to adjust to and accommodate new paradigms in workplace industrial relations. The aggressive production and HRM practices at the Toyota plant were not compatible with the norms and cultural institutions of the Indian workforce. One of the key implications of this research is that foreign production, organizational and industrial relations systems and practices cannot be transplanted into host-country environments without the due recognition of key cultural conditions, notably Izzat in India.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".