Artikel

Bolstering the moderating effect of supervisory innovative support on organisational learning and employees' engagement

Organisational learning, as the process of continuous information acquisition, dissemination and exploitation, often leads to an organisation's competitiveness. Hence, this study examined the relationship between organisational learning and employee engagement. The study also investigated the extent to which supervisory innovative support moderates organisational learning and the effectiveness of employee engagement. Five hundred forty-one (541) participants were surveyed using stratified and purposive sampling methods to make up the sample size. To be more precise, Smart Partial Least Square (PLS 3.0) was used to analyse the relationship between the study's variables. The hypothesis test found that supervisory innovative support moderated the relationship between organisational learning and employee engagement to a significant extent (R2 = 0.810 Adjusted R2 = 0.806 p-value 0.05). As a result, the study recommends that pharmaceutical companies clarify their policies and culture to employees so that supervisory support can lead to higher employee engagement through organisational learning. Pharmaceutical firms should also provide financial incentives based on employee duration or distinctive contributions to company goals.

Sprache
Englisch

Erschienen in
Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 13 ; Year: 2023 ; Issue: 3 ; Pages: 1-12

Klassifikation
Öffentliche Verwaltung
Thema
employee engagement
innovation
job commitment
supervisory innovative support

Ereignis
Geistige Schöpfung
(wer)
Opeyemi, Olunike Joel
Moses, Chinoyen Love
Igbinoba, Ebeguki Edith
Olokundun, Maxwell Ayodele
Salau, Odunayo P.
Ojebola, Oluwatunmise
Adebayo, Olufunke P.
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2023

DOI
doi:10.3390/admsci13030081
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Opeyemi, Olunike Joel
  • Moses, Chinoyen Love
  • Igbinoba, Ebeguki Edith
  • Olokundun, Maxwell Ayodele
  • Salau, Odunayo P.
  • Ojebola, Oluwatunmise
  • Adebayo, Olufunke P.
  • MDPI

Entstanden

  • 2023

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