远程医疗
任务(项目管理)
背景(考古学)
概念化
适应(眼睛)
领域(数学)
知识管理
计算机科学
介绍(产科)
可用性
人机交互
医疗保健
实证研究
工程类
心理学
系统工程
人工智能
认识论
哲学
医学
纯数学
数学
神经科学
古生物学
经济增长
生物
放射科
经济
作者
Christina Serrano,Elena Karahanna
标识
DOI:10.25300/misq/2016/40.3.04
摘要
Although technology-enabled task performance has been a long-standing outcome of interest in information systems research, existing studies primarily emphasize characteristics of the technology and task, rather than the user, in shaping performance outcomes. Given that both technology and people have inherent limitations, a worthwhile research pursuit is to examine how one might compensate for the limitations of the other in order to achieve successful task performance. We propose a new conceptualization of user abilities, task-specific user capabilities, and examine their compensatory effects with technology capabilities in shaping performance outcomes within the context of e-consultations (i.e., technology-mediated expert consultations). Specifically, we theorize the user capabilities of presentation (information giving) and elicitation (information seeking) as the task-specific user capabilities in this context. Leveraging the theory of compensatory adaptation, we propose that these user capabilities can overcome the limitations of technology and result in successful task performance outcomes. We employ mixed methods (qualitative field study, survey field study, and a lab experiment) to develop and test our model within the context of telemedicine consultations, a form of e-consultation. Convergent findings across the studies suggest that both user capabilities and technology capabilities are important facilitators of task performance and that these capabilities compensate for each other.
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