Loading...
Paper Type
Complete
Abstract
Electronic Medication Management systems (eMMS) are automating the error-prone paper-based medication management systems in Australia. Their benefits need to be evaluated by not only the degree of adoption but by the degree of assimilation among clinicians. This paper adopts a novel approach to examine the factors affecting the two sub-dimensions of individual IT assimilation using fuzzy-set qualitative comparative analysis (fsQCA). We propose a conceptual model of cognitive factors and organizational factors to identify the complex configurations that lead to higher assimilation of the eMMS in clinicians working in a public hospital. Our analysis suggests that there are distinct strategies in which the sub-dimensions of individual assimilation can be acquired by the users. These strategies, represented by the configurations of organizational and cognitive factors, provide flexibility for decision-makers to enable technology assimilation among users rather than selecting individual factors to focus on to achieve the desired result.
Recommended Citation
Gawas, Monica V.; Patkal, Akash; Kuan, Kevin K.Y.; Kim, Eui Dong; Vaghasiya, Milan Rasikbhai; EL AMRANI, REDOUANE; Chin, Wynne W.; Penm, Jonathan; Gunja, Naren; and Poon, Simon K., "Understanding Individual Assimilation of Electronic Medication Management Systems Using fsQCA" (2020). AMCIS 2020 Proceedings. 18.
https://aisel.aisnet.org/amcis2020/healthcare_it/healthcare_it/18
Understanding Individual Assimilation of Electronic Medication Management Systems Using fsQCA
Electronic Medication Management systems (eMMS) are automating the error-prone paper-based medication management systems in Australia. Their benefits need to be evaluated by not only the degree of adoption but by the degree of assimilation among clinicians. This paper adopts a novel approach to examine the factors affecting the two sub-dimensions of individual IT assimilation using fuzzy-set qualitative comparative analysis (fsQCA). We propose a conceptual model of cognitive factors and organizational factors to identify the complex configurations that lead to higher assimilation of the eMMS in clinicians working in a public hospital. Our analysis suggests that there are distinct strategies in which the sub-dimensions of individual assimilation can be acquired by the users. These strategies, represented by the configurations of organizational and cognitive factors, provide flexibility for decision-makers to enable technology assimilation among users rather than selecting individual factors to focus on to achieve the desired result.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.