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dc.contributor.advisorFlood, Cliona
dc.contributor.authorByrne, Peter J.
dc.identifier.citationByrne, P.J. (2019). Boundary management. Are personality types and job satisfaction levels predictors to smartphone usage behaviours? Institute of Art, Design and Technologyen_US
dc.description.abstractSmartphones have become integrated into many parts of our daily lives. These devices have improved areas of our work life through enhanced collaboration, removing the need for a physical office locations, and improving productivity levels. Smartphones have also improved our home lives, providing users the ability to record and share important family moments instantly, providing access to volumes of online data, improving health awareness through health monitoring apps, and face-to-face video chat. However, the once clearly defined boundaries between both, the work and home domains, have become blurred. The purpose of this paper is to investigate whether personality types, job satisfaction levels, and demographic variables, are predictors to an individual’s smartphone usage behaviour, focusing primarily on boundary management levels. The findings suggest that certain combinations of job satisfaction levels, relationship status, dependents, and personality types, could indicate an individual’s smartphone usage behaviour. These findings emphasise that boundary management levels, for both the individual and the company they work for, may require scrutiny, in order to improve an individual’s work-life balance.en_US
dc.rightsAttribution-NoDerivatives 4.0 International*
dc.subjectSmartphones, Collaboration, Productivity, Work and home domains, Behaviour, Boundary management, Work-life balanceen_US
dc.titleBoundary management. Are personality types and job satisfaction levels predictors to smartphone usage behaviours?en_US
dc.contributor.affiliationInstitute of Art, Design and Technologyen_US
dc.subject.departmentMSc in Cyberpsychologyen_US

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Attribution-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NoDerivatives 4.0 International