Motivational Strategies of Retail Company during Work from Home
Bibliographic record
Abstract
According to the management scholars Richard Kreitchner and Carlene Cassidy, “the term motivation, refers to a physiological process that gives behavior purpose and direction”. It is thought that if an employee is motivated, they will be usually content with his employment, and since they will be happy, they will be able to provide their best effort and contribution to the task at hand. However, there are numerous sorts of motivation for everyone, and it is unlikely that every individual in the firm or in that particular area will be motivated in the same way. Employee Motivation Is defined as the Power That Propels Employees toward Achieving the Organization's Unique Goals and objectives. As the covid-19 epidemic affects our country, the goal of this study is to examine motivating elements that might influence employee performance while working from home. The respondents were chosen using standard random sampling procedures. The data was collected from 46 administrative personnel. The researcher studied several motivating elements and investigated how employee demographics such as age, gender, position, department, marital status, and housing situation may affect their degree of job satisfaction in this research study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".