Servant leadership and perceptions of service quality provided by front-line service workers in hotels in Turkey
Bibliographic record
Abstract
Purpose – The aim of this article is to examine the relationship of service employees perceptions of servant leadership provided by their supervisors/managers and employee’s reports of service quality provided to clients by their hotels. Design/methodology/approach – Data were collected from 221 frontline employees, a 37 per cent response rate, working in four- and five-star hotels in Cappadocia, Turkey. Previously developed and validated measures of servant leadership (Liden et al. , 2008) and service quality (Parasuraman et al. , 1988) were used and both were found to be highly reliable in this study. Findings – Respondents were generally young, had relatively short organizational tenure and had high school educations. Respondents having longer organizational tenures and those working in five-star hotels reported lower levels of servant leadership. Longer tenured employees, and males, rated some dimensions of service quality lower as well. Service employees reporting higher levels of servant leadership from their supervisors/managers generally indicated higher levels of service quality. Research limitations/implications – Some limitations should be noted. First, all data were collected using respondent self-reports, raising the limited possibility of response set tendencies. Second, the sample, while reasonably large, may not be representative of all hotel employees in Turkey. Third, all properties were located in one region of Turkey and may not be representative of hotel employees in other regions of the country. Practical implications – First, organizations could select individuals exhibiting higher levels of servant leadership potential based on indications that these individuals are interested in developing long-term relationships with staff and co-workers and in helping them become more skilled in doing their jobs. Selection can also be augmented by servant leadership training (Fulmer and Conger, 2004). Supervisors/managers could be coached to help them develop their staff and help them meet their unique goals (Raelin, 2003). Finally, workplace cultural value supportive of both servant leadership and service quality can be identified, modeled by senior level managers, supported and rewarded. Originality/value – Most studies focus on defining and measuring servant leadership or service quality. This study investigates the relationship between servant leadership and service quality.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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".