Smartphone addiction, daily interruptions and self-reported productivity
Duke É, Montag C
Addictive behaviors reports · 132 citas
Cómo se estudió
- Diseño
- Estudio transversal (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Sin resultado de salud
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- Social Science Research Council
- Gobierno
- Deutsche Forschungsgemeinschaft
- Gobierno
- German Research Foundation
- Subvenciones
- Deutsche Forschungsgemeinschaft (MO-2363/3-1); Deutsche Forschungsgemeinschaft (2363/3-1); Social Science Research Council (J00124)
Según 3 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2017-07-19 · Addict Behav Rep · vol. 6 · págs. 90–95
- Editorial
- Elsevier BV
- Citado
- 472 citas · más que el 100% de estudios similares · 93.6× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 35 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY-NC-ND
- Áreas de investigación
- Impact of Technology on Adolescents · Technostress in Professional Settings · Cyberloafing and Workplace Behavior
- Palabras clave
- smartphone addiction, smartphone overuse, labor productivity, interruptions, technostress, flow
2 autores
- Éilish Duke🇬🇧 · autor de correspondenciaGoldsmiths University of London
- Christian Montag🇨🇳🇩🇪 · autor de correspondenciaUniversity of Electronic Science and Technology of China; Universität Ulm
Resumen
El texto original del estudio, en el idioma en que se publicó.
The advent of the smartphone has dramatically altered how we communicate, navigate, work and entertain ourselves. While the advantages of this new technology are clear, constant use may also bring negative consequences, such as a loss of productivity due to interruptions in work life. A link between smartphone overuse and loss of productivity has often been hypothesized, but empirical evidence on this question is scarce. The present study addressed this question by collecting self-report data from N = 262 participants, assessing private and work-related smartphone use, smartphone addiction and self-rated productivity. Our results indicate a moderate relationship between smartphone addiction and a self-reported decrease in productivity due to spending time on the smartphone during work, as well as with the number of work hours lost to smartphone use. Smartphone addiction was also related to a greater amount of leisure time spent on the smartphone and was strongly related to a negative impact of smartphone use on daily non-work related activities. These data support the idea that tendencies towards smartphone addiction and overt checking of the smartphone could result in less productivity both in the workplace and at home. Results are discussed in relation to productivity and technostress.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY-NC-ND).
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