Information Technology Ambidexterity, Digital Dynamic Capability, and Knowledge Processes as Enablers of Patient Agility: Empirical Study

Rogier van de Wetering; Johan Versendaal

doi:10.2196/32336

Information Technology Ambidexterity, Digital Dynamic Capability, and Knowledge Processes as Enablers of Patient Agility: Empirical Study

JMIRx Med. 2021 Dec 6;2(4):e32336. doi: 10.2196/32336.

Authors

Rogier van de Wetering^#¹, Johan Versendaal^#¹

Affiliation

¹ Department of Information Sciences, Open University of the Netherlands, Heerlen, Netherlands.

^# Contributed equally.

PMID: 37725556
PMCID: PMC10414313
DOI: 10.2196/32336

Abstract

Background: There is a limited understanding of information technology's (IT) role as an enabler of patient agility and the department's ability to respond to patients' needs and wishes adequately.

Objective: This study aims to contribute to the insights of the validity of the hypothesized relationship among IT resources, practices and capabilities, and hospital departments' knowledge processes, and the department's ability to adequately sense and respond to patient needs and wishes (ie, patient agility).

Methods: This study conveniently sampled data from 107 clinical hospital departments in the Netherlands and used structural equation modeling for model assessment.

Results: IT ambidexterity positively enhanced the development of a digital dynamic capability (β=.69; t₄₉₉₉=13.43; P<.001). Likewise, IT ambidexterity also positively impacted the hospital department's knowledge processes (β=.32; t₄₉₉₉=2.85; P=.005). Both digital dynamic capability (β=.36; t₄₉₉₉=3.95; P<.001) and knowledge processes positively influenced patient agility (β=.33; t₄₉₉₉=3.23; P=.001).

Conclusions: IT ambidexterity promotes taking advantage of IT resources and experiments to reshape patient services and enhance patient agility.

Keywords: IT ambidexterity; digital dynamic capability; digital health; digital transformation; dynamic capabilities; health care; hospitals; information sciences; information technology; knowledge processes; patient agility; research models.