Goal Setting and Job Related Outcomes-Mediations of Employee Engagement and Workplace Optimism in IT Supplier Industry
Bibliographic record
Abstract
The purpose of this study was to examine the role of goal setting on job related outcomes, employee engagement and workplace optimism mediates the relationship between goal setting and work place optimism in the supplier industry of IT sector. Employee engagement and work place optimism mediations are examined on the relationship between goal setting and job related outcomes. Job satisfaction, organizational commitment and turnover intentions are examined as the job related outcomes. Questionnaire method was used to collect data from targeted respondent. A total of 180 questionnaires were distributed from which 152 were received in useable form. Simple linear regression is used to test the first hypothesis and Baron and Kenny (1986) regression analysis is used to test remaining three hypotheses. It is determined that, to improve the job related outcomes effective goal setting by the management is important. Employee engagement and workplace optimism are also important factors to improve the outcomes
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".