HEALTHCARE INFORMATION SYSTEM USE UNDER TECHNO-UNCERTAINTY: EVIDENCE FROM LONG-TERM CARE

Authors

  • Marion LAUWERS FGES, Université Catholique de Lille, Smart and Sustainable Cities, Lille, France
  • Antonio GIANGRECO IESEG School of Management, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France Univ. Lille, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France CNRS, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France
  • Andrea CARUGATI Aarhus BSS, Department of Management, Aarhus University, Aarhus, Denmark IESEG School of Management, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France Univ. Lille, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France CNRS, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France
  • Johan MAES IESEG School of Management, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France Univ. Lille, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France CNRS, UMR 9221 - LEM - Lille Économie Management, F-59000 Lille, France
  • Antonio SEBASTIANO Università Carlo Cattaneo, LIUC, Italy

Keywords:

s: Techno-uncertainty, IS exploratory use, IS exploitative use, healthcare

Abstract

In dynamic contexts, where work practices and information systems (IS) are constantly misaligned, research into the psychological aspects of IS use is increasingly relevant. This article considers the impacts of techno-uncertainty, a key technostress factor, on the use of healthcare information systems (HIS). The proposed serial mediation model of the impact of techno-uncertainty on HIS exploratory use suggests that the effect unfolds through perceived usefulness and exploitative use. Tests of mediation among 301 caregivers provide support for these predictions. To help healthcare institutions enhance their HIS uses, this study opens the black box of mechanisms by which techno-uncertainty determines HIS exploratory use, including the role of experience with appraising system characteristics. It also highlights potentially positive effects of technostress, indicating the need to study distinct techno-stressors in specific contexts.

Published

2022-11-04

How to Cite

Marion LAUWERS, Antonio GIANGRECO, Andrea CARUGATI, Johan MAES, & Antonio SEBASTIANO. (2022). HEALTHCARE INFORMATION SYSTEM USE UNDER TECHNO-UNCERTAINTY: EVIDENCE FROM LONG-TERM CARE. Systèmes d’information Et Management, 26(03), 07. Retrieved from https://journaleska.com/index.php/sim/article/view/7082

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Section

Articles