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Gavin M. Schwarz

Researcher at University of New South Wales

Publications -  89
Citations -  931

Gavin M. Schwarz is an academic researcher from University of New South Wales. The author has contributed to research in topics: Health care & Organizational learning. The author has an hindex of 16, co-authored 79 publications receiving 718 citations. Previous affiliations of Gavin M. Schwarz include University of Wollongong & University of Queensland.

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Time to Take Off the Theoretical Straightjacket and (Re-)Introduce Phenomenon-Driven Research

TL;DR: In this article, the authors argue that theory has become a (figurative) straightjacket and that the criteria for publishing organizational research are increasingly focused on adding to specific and already existing theory.
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Unraveling the What and How of Organizational Communication to Employees During COVID-19 Pandemic: Adopting an Attributional Lens

TL;DR: In 2020, the coronavirus disease (COVID-19) pandemic has resulted in a massive, unexpected, and sudden disruption to billions of employees around the world, and organizations have adopted technology-driven solutions, where managers communicate time-critical information via multiple channels including but not limited to email, intranet, video conferencing, and other tools.
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Herscovitch and Meyer’s Three-Component model of commitment to change: Meta-analytic findings

TL;DR: In this article, the authors take stock of a decade of research that uses Herscovitch and Meyer's instrument to measure affective commitment to change (i.e., ACC, NCC and CCC).
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Organizational hierarchy adaptation and information technology

TL;DR: It is argued that the nature of management's application of information systems—and non-management’s reaction to this practice—guides structural modification in IT environments where there is an expectation for significant structural change.
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Showcasing phenomenon-driven research on organizational change

TL;DR: Phenomenon-driven research (PDR) as discussed by the authors is an approach that focuses on capturing, documenting, and conceptualizing an observed phenomenon of interest in order to facilitate knowledge creation and advancement.