The "dark side" of information technology

Choenni, Sunil; Leertouwer, Erik; Busker, Tony; Mulder, Ingrid

doi:10.1145/2037556.2037589

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…The Dark Side of Late-Night Social Media Usage Social media late-night use can hamper the productivity of the employee and have a detrimental effect on their welfare and psychological health. The study of Tarafdar et al (2015) substantiates the claim that social media sites (i.e., Facebook, Twitter) prevent employees from concentrating on the actual job work. In the workplace and the field of education, it was discovered that the overuse of smartphones might divert students from classroom activities and reduce their learning endeavors (Mendoza et al, 2018).…”

Section: Theoretical Support and Conceptualizationsupporting

confidence: 60%

“…Technostress includes stressors that are "technology-induced stimuli, events, or demands" (Ragu-Nathan et al, 2008). Stressors produced through technostress are called "technostress creators," which cause individual responses called strain (Ayyagari et al, 2017;Tarafdar et al, 2015). In a large part of the literature, technostress is a phenomenon that is associated with adverse outcomes.…”

Section: Technostress and Entrepreneurial Cognitive Engagementmentioning

confidence: 99%

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Late-Night Use of Social Media and Cognitive Engagement of Female Entrepreneurs: A Stressor–Strain–Outcome Perspective

et al. 2021

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The excessive use of social media is an emerging phenomenon with several negative consequences in an entrepreneurial context. Based on the stressor–strain–outcome paradigm, this research aims to unveil the following: that social media late-night usage can affect two psychological strains (life invasion and technostress) among female entrepreneurs and thus influence their behavioral outcome (cognitive engagement). This study empirically tested the proposed mediation model using an online survey of 225 female entrepreneurs from the small- and medium-sized enterprise sector. A partial least squares structural equation modeling (PLS-SEM) was implemented to obtain the results. The findings indicate that late-night social media usage significantly raises life invasion and technostress among female entrepreneurs. Moreover, internal strains (life invasion and technostress) reduce female entrepreneurs’ cognitive engagement and significantly mediate the association between late-night use of social media and entrepreneurial cognitive engagement. This study draws associated practical and theoretical contributions based on findings, which were not previously discussed.

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Section: Theoretical Support and Conceptualizationsupporting

confidence: 60%