Modele doświadczeń i przeżyć pracowników – analiza porównawcza. Uwagi dotyczące metodologii badań globalnych dotyczących doznań pracowników i ich percepcja sensu pracy
DOI:
https://doi.org/10.18778/0208-6018.364.04Słowa kluczowe:
modele doświadczeń i przeżyć pracowników, moduły doświadczeń, wskaźnik doświadczeń i przeżyć pracownikówAbstrakt
Cel: Artykuł ma charakter teoretyczny. Jego celem jest identyfikacja niekoherencji pomiędzy treścią doświadczeń i przeżyć pracowników (EX) a podejściem w badaniu doświadczeń i przeżyć konsumentów (CX). Treść modeli EX skonfrontowano z wynikami badań globalnych z zastosowaniem wskaźnika EX na świecie. Następnie sformułowano uwagi dotyczące doskonalenia metodologii powyższych badań.
Podejście metodyczne: Opierając się na analizie treści 78 subdeterminant doświadczeń i przeżyć w pięciu modelach EX opisywanych w literaturze przedmiotu, dokonano ich przyporządkowania do pięciu modułów opisywanych w CX, zakładając ekwiwalentność adresatów tych modułów. Później zweryfikowano występowanie pięciu wymiarów osiowych pracy według modelu właściwości pracy w pięciu modelach EX, a rezultaty tej weryfikacji porównano z wynikami badań globalnych.
Wyniki: Pokazano niedoreprezentowanie modułu sensorycznego we wszystkich pięciu modelach EX, a także nieobecność takich osiowych wymiarów pracy, jak różnorodność umiejętności, tożsamość zadania pracy i poczucie ważności jego wykonywania.
Implikacje: Przeprowadzona analiza porównawcza zawiera implikacje praktyczne, ponieważ wzbogaca modele EX i bazujące na nich badania o sensoryczne subdeterminanty i wszystkie wymiary osiowe pracy, dając nie tylko bardziej realistyczny od poprzedniego obraz pozytywnych doświadczeń i przeżyć pracowników, ale też pokazując możliwości wpływania na nie.
Wartość/Oryginalność: Modeli EX nie porównywano jak dotąd z perspektywy podejścia modułowego stosowanego w CX oraz z perspektywy modelu właściwości pracy. Kombinacja zastosowanego w analizie użycia metod jakościowych i ilościowych cechuje się oryginalnością. Jego aplikacja powinna pomóc w zidentyfikowaniu luki w rodzajach subdeterminant uwzględnionych w modelach EX.
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