Impact of Lean Implementation on Employees’ Job Satisfaction in the ABC Apparel Manufacturing Firm
Bibliographic record
Abstract
For almost all organizations, employees are the vital resource and they are representing an important asset within the business. The main concern of Human resource management is to improve the potential of employees so that they can get maximum job satisfaction from their work and give their best efforts to the organization. Job satisfaction represents one of the foremost areas facing current managers when it comes to managing their employees. In the current context of Sri Lankan apparel industry, it can be seen that the high labor turnover rate in relation to the labor recruitments. The lean implementation of the apparel industry has been drastically changing the industrial environment and the way a worker perform his job role. As a solution to the labor turnover it is necessary to identify the impact of lean implementation on the employee satisfaction. ABC apparel manufacturing firm is a one of the apparel manufacturing firms which has implemented lean concepts such as Empowerment, Standardization, Quality Management, Problem Solving Demand, Effort-Reward Fairness, Team Working Culture and Job Rotation. Based on the literature review and preliminary investigation, hypothesis were developed in order to identify the relationship between the lean implementation and job satisfaction. Therefore the primary data for this research were collected through the survey conducted in the ABC Company. The survey was conducted over 60 sample units and the sample was selected using the simple random sampling technique. The collected data were analyzed using the statistical tool namely descriptive statistics, frequencies, correlation and linear regression. Based on the data analysis, it can be concluded that there is a moderate positive relationship between the lean practices and the job satisfaction in the ABC apparel manufacturing firm.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".