Work motivation, job satisfaction and turnover intention of middle level management at five star hotels in Kuala Lumpur / Nur Dalila Mohd Fisol
Bibliographic record
Abstract
The hospitality and tourism is one of the largest economic contributors for Malaysia (Economic Impact, 2012). Malaysia is emerging as a fast growing free market economy with services as the main source of economic growth accounting for almost three quarter of Malaysia’s output with 26 percent of its labor force (MIS Asia, 2010). In general, by 2020, there will be a total of 1.6 billion jobs in the hotel industry (Travel & Tourism, 2011). Thus, there is a significant need in having a more qualified, motivated and skilled manpower available to meet the challenges of this ever changing and demanding industry (Ahmad, Aziz, Kamaruddin, Aziz & Bakhtiar, 2012). Similar to the developed countries, hotels in Malaysia are facing problems in attracting and retaining skilled and knowledgeable of high and low level employees. This is due to low salary and rigid job traits (Ahmad, Solnet & Scott, 2010). The rapid expansion of the hotel industry has exaggerated the demand for employment of competent employees (Ahmad & Zainol, 2011), and this resulted in skilled and knowledgeable workers shortages (Business Monitor International Ltd., 2010). On the other hand, the shortage of skilled workers in Malaysian hotels is caused by the unattractive work atmosphere and unmotivated factors of the industry (Kasimu, Zaiton & Hassan, 2012).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".