Jamal Ouenniche, Oscar Javier Uvalle Perez and Aziz Ettouhami
Nowadays, the field of data analytics is witnessing an unprecedented interest from a variety of stakeholders. The purpose of this paper is to contribute to the subfield of…
Abstract
Purpose
Nowadays, the field of data analytics is witnessing an unprecedented interest from a variety of stakeholders. The purpose of this paper is to contribute to the subfield of predictive analytics by proposing a new non-parametric classifier.
Design/methodology/approach
The proposed new non-parametric classifier performs both in-sample and out-of-sample predictions, where in-sample predictions are devised with a new Evaluation Based on Distance from Average Solution (EDAS)-based classifier, and out-of-sample predictions are devised with a CBR-based classifier trained on the class predictions provided by the proposed EDAS-based classifier.
Findings
The performance of the proposed new non-parametric classification framework is tested on a data set of UK firms in predicting bankruptcy. Numerical results demonstrate an outstanding predictive performance, which is robust to the implementation decisions’ choices.
Practical implications
The exceptional predictive performance of the proposed new non-parametric classifier makes it a real contender in actual applications in areas such as finance and investment, internet security, fraud and medical diagnosis, where the accuracy of the risk-class predictions has serious consequences for the relevant stakeholders.
Originality/value
Over and above the design elements of the new integrated in-sample-out-of-sample classification framework and its non-parametric nature, it delivers an outstanding predictive performance for a bankruptcy prediction application.
Details
Keywords
Yew Ming Chia and Mackayla J.T. Chu
This study aims to investigate the two-way interaction effects of empowerment and hardiness on the presenteeism of hotel employees.
Abstract
Purpose
This study aims to investigate the two-way interaction effects of empowerment and hardiness on the presenteeism of hotel employees.
Design/methodology/approach
Data were collected from 358 hotel employees in Sabah, East Malaysia, via a questionnaire survey and analyzed using multiplicative regression analysis.
Findings
The results confirm the presence of a two-way interaction effect between empowerment and hardiness on the presenteeism of hotel employees at a significance level of 0.01. Further analysis indicates that the higher the level of hardiness, the greater is its negative effect on the relationship between empowerment and the presenteeism of hotel employees.
Research limitations/implications
The survey was cross-sectional and causal relationships among the variables cannot be inferred. The results were gathered from selected hotels and should not be generalized to all hotel employees in Sabah, East Malaysia.
Practical implications
The findings challenge the assumption of a positive association between empowerment and presenteeism and demonstrate that different levels of hardiness can influence this relationship. When empowering employees, management staff should also consider the provision of resilience-related training programs for less hardy employees. This would enable such employees to handle their presenteeism behavior arising from the increased level of empowerment.
Originality/value
This study provides the first empirical evidence of a two-way interaction effect of predictors on the presenteeism of hotel employees and could serve to influence mainstream journals in the presenteeism literature. Researchers could apply the analytical approach to examine future studies relating to higher-order effects of predictors on the presenteeism of hotel employees.