Modern-day hoarding: A model for understanding and measuring digital hoarding
Article
Article Title | Modern-day hoarding: A model for understanding and measuring digital hoarding |
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ERA Journal ID | 17900 |
Article Category | Article |
Authors | Sedera, Darshana (Author), Lokuge, Sachithra (Author) and Grover, Varun (Author) |
Journal Title | Information and Management |
Journal Citation | 59 (8), pp. 1-13 |
Article Number | 103700 |
Number of Pages | 13 |
Year | 2022 |
Place of Publication | Netherlands |
ISSN | 0378-7206 |
1872-7530 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.im.2022.103700 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0378720622001094 |
Abstract | With the cost of data storage approaching near zero, an individual can acquire, share, and store digital content (i.e., emails, images, videos, and documents) more than ever before. This behavior is exacerbated by the availability, affordability, and usability of modern technological devices like smart mobile phones, wearables, the rapid proliferation of social media and communication apps, and the intensification of digitized business and/or personal interactions. As a result, there is an increased propensity to acquire and accumulate substantial amounts of digital content. Employing the theoretical foundations of the attachment theory and the hoarding disorder, this study argues that the characteristics such as difficulty of discarding digital content, digital clutter, and frequent excessive acquisition of digital content demonstrate the signs of digital hoarding. By conducting a survey using 846 respondents and conducting a multigroup analysis, this study provides confirmatory evidence on digital hoarding and its association to anxiety. As such, this study contributes to the dark side of technology use and introduces a new concept called digital hoarding to information systems research. |
Keywords | Digital hoarding; Attachment theory; Dark side of technology use; Hoarding disorder; Survey; Anxiety; Multi-group analysis |
ANZSRC Field of Research 2020 | 460910. Information systems user experience design and development |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Southern Cross University |
University of Southern Queensland | |
University of Arkansas, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7v1v/modern-day-hoarding-a-model-for-understanding-and-measuring-digital-hoarding
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