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

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          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; t 4999=13.43; P<.001). Likewise, IT ambidexterity also positively impacted the hospital department’s knowledge processes ( β=.32; t 4999=2.85; P=.005). Both digital dynamic capability ( β=.36; t 4999=3.95; P<.001) and knowledge processes positively influenced patient agility ( β=.33; t 4999=3.23; P=.001).

          Conclusions

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

          Related collections

          Most cited references167

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Common method biases in behavioral research: A critical review of the literature and recommended remedies.

            Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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              Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

                Author and article information

                Contributors
                Journal
                JMIRx Med
                JMIRx Med
                JMIRxMed
                JMIRx Med
                JMIR Publications (Toronto, Canada )
                2563-6316
                Oct-Dec 2021
                6 December 2021
                : 2
                : 4
                : e32336
                Affiliations
                [1 ] Department of Information Sciences Open University of the Netherlands Heerlen Netherlands
                Author notes
                Corresponding Author: Rogier van de Wetering Rogier.vandeWetering@ 123456ou.nl
                Author information
                https://orcid.org/0000-0002-8024-7120
                https://orcid.org/0000-0003-2776-9541
                Article
                v2i4e32336
                10.2196/32336
                10414313
                37725556
                e94b541b-581e-4079-be6f-bb6d326f569e
                ©Rogier van de Wetering, Johan Versendaal. Originally published in JMIRx Med (https://med.jmirx.org), 06.12.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.

                History
                : 23 July 2021
                : 23 September 2021
                : 29 September 2021
                : 3 October 2021
                Categories
                Original Paper
                Original Paper

                it ambidexterity,dynamic capabilities,digital dynamic capability,knowledge processes,patient agility,hospitals,information sciences,information technology,digital health,health care,digital transformation,research models

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