Capitalizing on Health Information Technology to Enable Digital Advantage in U.s. Hospitals

2019 | Management Information Systems Quarterly | Citations: 0

Authors: Karahanna, Elena; Adela Chen; Qianqian Ben Liu; Serrano, Christina

Abstract: This research examines hospital digital advantage, defined as a hospital’s techn ... Expand

Abstract: This research examines hospital digital advantage, defined as a hospital’s technological edge relative to its competitors across a composite of technologies supporting the hospital’s various functions and processes. Drawing on Bourdieu’s forms of capital and the logic of digital options, we develop an integrative conceptual framework to identify and organize antecedents of digital advantage, which can translate to hospital performance through the creation of digital options. Focusing on the antecedents of digital advantage for our research model and hypotheses, we suggest that digital advantage is influenced by (1) economic capital, (2) institutional-arrangement-based social capital that results in knowledge sharing through information exchange networks and parent organization membership, (3) geographic-proximity-based social capital due to locational externalities that facilitate knowledge spillover, and (4) cultural capital that reflects the hospital’s health information technology (HIT) knowledge stock. Our findings, based on the aggregate adoption of 90 HITs by 953 hospitals, support main effects; complementary effects of the two forms of social capital; and substitutive effects between (1) economic capital and other forms of capital such that cultural capital and both types of social capital mitigate the effects of inadequate economic capital, and between (2) institutional-arrangement- based social capital and cultural capital such that knowledge shared through institutional arrangements mitigates the effects of having inadequate in-house HIT expertise. We also provide preliminary evidence to show that hospital digital advantage is positively associated with hospital performance. Collapse

Topics: social capital knowledge spillover technology adoption information exchange health information system

Methods: theory development conceptual modelling post-hoc analysis partial least squares regression robustness check

HICSS Panel Report on Cognitive Foreshadowing: Next Steps in Applying Neuroscience and Cognitive Science to Information Systems Research

2019 | Communications of the Association for Information Systems | Citations: 0

Authors: Stylianou, Antonis; Subramaniam, Chandrasekar; Niu, Yuan

Abstract: Knowledge management capability (KMC) represents an important link between IT an ... Expand

Abstract: Knowledge management capability (KMC) represents an important link between IT and individual firm performance. We investigate this link in an interorganizational (IO) context—an increasingly important and yet substantially underresearched area. Based on reviewing and integrating the literature, we develop and test a comprehensive empirical conceptualization of KMC that includes knowledge creation, transfer, retention, and application. We collected survey data from supply management professionals at one partner firm (either customer or supplier) in an IO relationship. We tested our research hypotheses using structural equation modeling. We found that partner firms’ KMC was positively associated with IO performance. We also found that IO information technology (IOIT) infrastructure capabilities facilitated KMC through the strength of IO relational capability. Partner interdependence was positively associated with IO relational capability and with KMC. Taking a knowledge management (KM) perspective, our research shows that IT requires relational capability and KMC to bring performance gains to IO partnerships. These insights have theoretical importance for understanding IT-enabled knowledge management in IO settings and practical significance for firms to effectively use their IOIT infrastructure. Collapse

Topics: supply chain management information technology infrastructure information technology capability knowledge creation knowledge sharing

Methods: survey parametric test ANOVA structural equation modeling partial least squares regression

Theories: knowledge based theory of the firm resource based view of the firm