A Qualitative Investigation on theImpact of Human Resource Information Systems (HRIS)on the Organisation Performance in theRetail Sector of Canada
Notice bibliographique
Résumé
Purpose The primary and the main purpose of the research is analysing and evaluating the impact of the HRIS on organisational performance in the retail sector of Canada. Furthermore, the research emphasises on determining the importance and functions of the HRIS along with ascertaining its impact on the performance of firms and identifying the challenges faced by organisations in implementing the portal of the HRIS, especially in the retail sector of Canada. Overall, the aim and objective of the research study is evaluating the concept of the HRIS and the implication of this software in the HR departments of various organisations. Methods/ Data Collection/ Data Evaluation The research approach or method used in the project is the research onion method that provides different layers for choosing or selecting distinct research methodology components. The research project utilises qualitative methods. The qualitative data is collected in the research by the help of the semi-structured interview with the integration of interpretivism research philosophy. Primary data has been collected to gather real-world data and delve into various unexplored facts of the HRIS through an interview method and secondary data has been derived by going through academic books, latest journal articles and exploring credible websites. The selection of the sample for the research has engaged the non-probability sampling technique. Further, using the purposive sampling technique, 8 HR managers were selected to obtain data. The HR managers from food, apparel, grocery, and drug retail sectors have been selected for an interview and two HR managers are recruited for the interview from each retail sector. Further, the thematic analysis method is used for examining interview data. Findings The primary findings show that the HRIS has profoundly transformed the HRM functions in the retail sector of Canada. Implications The research shows meaningful insight into the HRIS with its features and impact on the overall performance of organisations in the retail sector. Limitations Primary data that was integrated with the help of the semi-structured interview method requires interviewing enough individuals to draw an optimum level of conclusion and make further comparisons. Further, the interview lacks exact facts and figures, and on the other side, the secondary data generally lacks accuracy and originality. Similarly, due to COVID-19, there were various hurdles in measuring primary data through primary resources.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».