Description
The present study applies partial least square (PLS) algorithm to identify key antecedents that influence perceived job satisfaction due to the implementation of an ERP-enabled shared platform by emergency services organizations. Using data collected from 193 ERP users we developed and tested two research models primarily based on extending technology acceptance (TAM) model taking contextual task characteristics into account. From the results we found that perceived ease of use, perceived usefulness, and compatibility positively influence users’ behavioral attitude toward ERP system which in turn positively influence users’ perceived job satisfaction. Finally, the implications of the study as well as future research directions are presented
Recommended Citation
Bhattacharya, Mithu and FOSSO WAMBA, Samuel, "Determinants of Perceived Job Satisfaction From ERP-enabled Emergency Service Adoption: An Empirical Study" (2015). AMCIS 2015 Proceedings. 7.
https://aisel.aisnet.org/amcis2015/e-Biz/GeneralPresentations/7
Determinants of Perceived Job Satisfaction From ERP-enabled Emergency Service Adoption: An Empirical Study
The present study applies partial least square (PLS) algorithm to identify key antecedents that influence perceived job satisfaction due to the implementation of an ERP-enabled shared platform by emergency services organizations. Using data collected from 193 ERP users we developed and tested two research models primarily based on extending technology acceptance (TAM) model taking contextual task characteristics into account. From the results we found that perceived ease of use, perceived usefulness, and compatibility positively influence users’ behavioral attitude toward ERP system which in turn positively influence users’ perceived job satisfaction. Finally, the implications of the study as well as future research directions are presented