2008
DOI: 10.1016/j.chb.2007.10.008
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Online flow experiences, problematic Internet use and Internet procrastination

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Cited by 146 publications
(119 citation statements)
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References 53 publications
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“…These include increased time spent online [56,58,59,95,96,98], early Internet exposure [94], positive outcome expectancy, low refusal self-efficacy of Internet use [98,103], online flow and online procrastination [54]. Furthermore, the usage of a number of different Internet applications has been linked to Internet addiction.…”
Section: Internet Use Variablesmentioning
confidence: 99%
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“…These include increased time spent online [56,58,59,95,96,98], early Internet exposure [94], positive outcome expectancy, low refusal self-efficacy of Internet use [98,103], online flow and online procrastination [54]. Furthermore, the usage of a number of different Internet applications has been linked to Internet addiction.…”
Section: Internet Use Variablesmentioning
confidence: 99%
“…Miscellaneous classification criteria for Internet addiction have been used in a total of eight studies including adult samples [53][54][55][56][57][58][59][60]. All sample sizes were between 1000 and 2000 participants, with the exception of a sample of 16,925 regular Internet users in the Netherlands [53].…”
Section: The Prevalence Of Internet Addiction In Adultsmentioning
confidence: 99%
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“…Absorption may also heighten sensitivity and responsiveness to goal derailing situational cues, as procrastination is associated with vulnerability to situational temptations (Dewitte & Schouwenburg, 2002;Sirois & Giguère, 2013). Finally, procrastination is a known correlate of problematic Internet behaviour including "cyberslacking" (LaVoie & Pychyl, 2001;Thatcher, Wretschko, & Fridjhon, 2008), a behaviour that can serve a moodregulating function and that is also frequent among individuals high in absorption (Cole & Hooley, 2013).…”
Section: Procrastination and Absorptionmentioning
confidence: 99%
“…Hence, if using hotel websites can develop a state of flow in customers, they should be satisfied and inclined to continue visiting these websites. A number of scholars have discussed the usefulness of flow in predicting human behavior in online environments (Novak et al, 2003;Thatcher et al, 2008). Therefore, it is assumed that considering perceived flow along with the website quality can be useful to predict customer satisfaction and purchase intentions on hotel websites.…”
mentioning
confidence: 99%