"Doctors Do Too Little Technology": A Longitudinal Field Study of an Electronic Healthcare System Implementation

被引:153
作者
Venkatesh, Viswanath [1 ]
Zhang, Xiaojun [2 ]
Sykes, Tracy A. [1 ]
机构
[1] Univ Arkansas, Walton Coll Business, Fayetteville, AR 72701 USA
[2] Hong Kong Univ Sci & Technol, Dept Informat Syst Business Stat & Operat Managem, Sch Business & Management, Kowloon, Hong Kong, Peoples R China
关键词
IT diffusion and adoption; healthcare and IT; INFORMATION-TECHNOLOGY; NETWORK PERSPECTIVE; SOCIAL NETWORKS; PERFORMANCE; MODEL; SATISFACTION; PHYSICIANS; ACCEPTANCE; COMMITMENT; CENTRALITY;
D O I
10.1287/isre.1110.0383
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
With the strong ongoing push toward investment in and deployment of electronic healthcare (e-healthcare) systems, understanding the factors that drive the use of such systems and the consequences of using such systems is of scientific and practical significance. Elaborate training in new e-healthcare systems is not a luxury that is typically available to healthcare professionals-i.e., doctors, paraprofessionals (e.g., nurses) and administrative personnel-because of the 24 x 7 nature and criticality of operations of healthcare organizations, especially hospitals, thus making peer interactions and support a key driver of or barrier to such e-healthcare system use. Against this backdrop, using social networks as a theoretical lens, this paper presents a nomological network related to e-healthcare system use. A longitudinal study of an e-healthcare system implementation, with data gathered from doctors, paraprofessionals, administrative personnel, patients, and usage logs lent support to the hypotheses that: (1) ingroup and outgroup ties to doctors negatively affect use in all user groups; (2) ingroup and outgroup ties to paraprofessionals and administrative personnel positively affect use in both those groups, but have no effect on doctors' use; and (3) use contributes positively to patient satisfaction mediated by healthcare quality variables-i.e., technical quality, communication, interpersonal interactions, and time spent. This work contributes to the theory and practice related to the success of e-healthcare system use in particular, and information systems in general.
引用
收藏
页码:523 / 546
页数:24
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