Start Date
11-12-2016 12:00 AM
Description
It is widely recognized that user resistance to Information Systems (IS) is particularly high in hospitals. In this regard, the future of mobile Electronic Health Record (m-EHR) systems is highly in question, mainly because their usage is not mandatory. Aiming to provide insights on how best to promote the use of m-EHR in hospitals, we investigate the effect of social influences on m-EHR usage by new doctors who recently began working at a hospital. Drawing upon the concept of organizational socialization and social influences, we hypothesize that coworkers’ m-EHR usage is positively associated with one by new doctors, and the strength of this association varies by the coworkers’ type of usage, by the hierarchical rankings of coworkers, and by the stage of socialization process in which the new doctors are situated. Our analyses using longitudinal m-EHR usage data (595,914 logs of 737 doctors) generally support our hypotheses.
Recommended Citation
Lim, Sanghee; Kim, Junetae; Lee, Byungtae; Lee, Jae-Ho; and Lee, Yura, "Dynamics of Social Influence on New Employees’ Use of Volitional IS: m-EHR Case in Hospital Setting" (2016). ICIS 2016 Proceedings. 8.
https://aisel.aisnet.org/icis2016/ISHealthcare/Presentations/8
Dynamics of Social Influence on New Employees’ Use of Volitional IS: m-EHR Case in Hospital Setting
It is widely recognized that user resistance to Information Systems (IS) is particularly high in hospitals. In this regard, the future of mobile Electronic Health Record (m-EHR) systems is highly in question, mainly because their usage is not mandatory. Aiming to provide insights on how best to promote the use of m-EHR in hospitals, we investigate the effect of social influences on m-EHR usage by new doctors who recently began working at a hospital. Drawing upon the concept of organizational socialization and social influences, we hypothesize that coworkers’ m-EHR usage is positively associated with one by new doctors, and the strength of this association varies by the coworkers’ type of usage, by the hierarchical rankings of coworkers, and by the stage of socialization process in which the new doctors are situated. Our analyses using longitudinal m-EHR usage data (595,914 logs of 737 doctors) generally support our hypotheses.