A study on improving employees’ behaviour towards increasing students’ loyalty: the mediating role of need understanding, service quality, and intimacy among students in Kenya
Bibliographic record
Abstract
During the past few years, there have been various studies on the relationship between academic behavior, teaching and student retention but not much has been on administration staff and students.This study examined improving employees' behavioural factors towards increasing students' loyalty.The paper explores the direct mediation and indirect mediation of employee behavioural factors leading to build student loyalty.More specifically the focus is on the constructs of service quality (SQLTY), need understanding (NEEDUND), intimacy (INTIMACY), and student loyalty (STLOY).This study depended on a positivist research paradigm.In this study, over 800 structured questionnaires were administered for research subjects.However, 743 were captured for the final analysis.The analytical tool used in this study is the ADANCO 2.0.1 software and in terms of statistical processing, the PLS-SEM technique was utilized.The two main takeaways from the direct relationships are that INTIMACY is a strong predictor of STLOY, and NEEDUND is also a strong predictor of SQLTY.The indirect mediations of INTIMACY on SQLTY and STLOY, IN-TIMACY on NEEDUND and STLOY, and SQLTY on NEEDUND and INTIMACY were all not supported.The study, like any academic work, has limitations.Despite these limitations, this study offers theoretical as well as practical values for the research community and administrators of universities and higher education administrators as a whole.For administrators of the universities and the higher education, the study points out the critical needs for administrators to better understand students' loyalty and behaviours of employees during the service encounter, which could lead to intimacy and eventually student loyalty.The present study is innovated by quantitatively examining how the above-mentioned behavioural factors of employees could lead to INTIMACY and STLOY.
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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 | 0.002 | 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 | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".