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 ORIGINAL ARTICLE
Year : 2016  |  Volume : 20  |  Issue : 2  |  Page : 88-94

Internet use at workplaces and its effects on working style in indian context: An exploration


Department of Clinical Psychology, NIMHANS, Bengaluru, Karnataka, India

Correspondence Address:
Manoj K Sharma
Department of Clinical Psychology, SHUT clinic (Service for Healthy use of Technology), Govindaswamy Block, NIMHANS, Bengaluru, Karnataka - 560 029
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0019-5278.197531

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Background: Internet use has revolutionized the pattern of working style at the workplace. It led to an increased use for nonprofessional activities at the workplace. It has been shown to affect productivity at the workplace. There is a dearth of literature from the Indian context in this area. Aim: This study was conducted to explore the pattern of Internet use at the workplace and its dysfunctions. Setting and Design: The present study was a cross-sectional prospective study. Materials and Methods: The objective of the study was to assess the pattern of technology use at the workplace. Two hundred and fifty employees having experience of Internet use for more than a year of various Government/Private sector organizations in Bengaluru were assessed using background data sheet. Users who were unwilling to participate were excluded from the study. Results: 29.6% of the participants used mobile phone exclusively. 58.8% of the participants used mobile along with other devices such as desktop, laptop, and tablet at home as well as at work. 64% of the participants reported change in their productivity due to nonwork-related Internet use at the workplace. 42% of the participants acknowledgemed postponement of their work due to Internet activities. 3-5% reported preference for Internet to work, meals, personal hygiene, sleep, and interaction with family members. WhatsApp was the most used application followed by Facebook and Gmail. Gaming applications and messenger applications such as hike and hangouts were used less frequently. Overall, delay in going to sleep was 1.6 hours and early morning awakening was 1.5 hours due to Internet use. Conclusions: The present study has implications for evolving psychoeducational modules for the promotion of healthy use of technology.






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