IS

Zhang, Xiaojun

Topic Weight Topic Terms
0.247 job employees satisfaction work role turnover employee organizations organizational information ambiguity characteristics personnel stress professionals
0.229 network networks social analysis ties structure p2p exchange externalities individual impact peer-to-peer structural growth centrality
0.204 health healthcare medical care patient patients hospital hospitals hit health-care telemedicine systems records clinical practices
0.187 model research data results study using theoretical influence findings theory support implications test collected tested
0.160 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical
0.141 online evidence offline presence empirical large assurance likely effect seal place synchronous population sites friends
0.140 satisfaction information systems study characteristics data results using user related field survey empirical quality hypotheses
0.121 use support information effective behaviors work usage examine extent users expertise uses longitudinal focus routine

Focal Researcher     Coauthors of Focal Researcher (1st degree)     Coauthors of Coauthors (2nd degree)

Note: click on a node to go to a researcher's profile page. Drag a node to reallocate. Number on the edge is the number of co-authorships.

Venkatesh, Viswanath 2 Sykes, Tracy Ann 1
complementarity 1 healthcare and IT 1 IT diffusion and adoption 1 job performance 1
offline networks 1 social networks 1

Articles (2)

EXPLAINING EMPLOYEE JOB PERFORMANCE: THE ROLE OF ONLINE AND OFFLINE WORKPLACE COMMUNICATION NETWORKS. (MIS Quarterly, 2013)
Authors: Abstract:
    By distinguishing between employees' online and offline workplace communication networks, this paper incorporates technology into social network theory to understand employees' job performance. Specifically, we conceptualize network ties as direct and indirect ties in both online and offline workplace communication networks, thus resulting in four distinct types of ties. We theorize that employees' ties in online and offline workplace communication networks are complementary resources that interact to influence their job performance. We found support for our model in a field study among 104 employees in a large telecommunication company. The paper concludes with theoretical and practical implications.
"Doctors Do Too Little Technology": A Longitudinal Field Study of an Electronic Healthcare System Implementation. (Information Systems Research, 2011)
Authors: Abstract:
    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 24×7 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.