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IT Addiction: Be smarter than your smartphone ! Liette Lapointe.

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Presentation on theme: "IT Addiction: Be smarter than your smartphone ! Liette Lapointe."— Presentation transcript:

1 IT Addiction: Be smarter than your smartphone ! Liette Lapointe

2 © Leaders Name © Liette Lapointe Addiction: IT and Internet Usage  In 2011, 27 757 540 Canadians (81.6%) were using the Internet StatisticsCanada. "The Daily, Monday, May 10, 2010. Canadian Internet Use Survey." Statistics Canada: Canada's National Statistical Agency. 10 May 2010. Web. 09 May 2011..  The average Canadian sits in front of their computer for a whopping 45.3 hours a month, taking in content from some 98 websites. 2

3 © Leaders Name © Liette Lapointe 3 Marketing News, 4/30/2010, Vol. 44 Issue 5, p05-05, 1p, 2 Diagrams, 1 ChartDiagram; found on pN.PAG

4 © Leaders Name © Liette Lapointe Quelques chiffres  L’utilisation des téléphones intelligents devient de plus en plus ‘intense’: les usagers consultant leur téléphone de 10 à 200 fois par jour et cet utilisation varie de 1 à 14 heures par jour!  Les téléphones intelligents sont utilisés au travail par 72% des utilisateurs et pendant des événements sociaux par 66% d’entre eux… 4

5 © Leaders Name © Liette Lapointe 5

6 © Leaders Name © Liette Lapointe Obsessed with Facebook?  Facebook was the most-searched term in 2010  As of 2011, there are 500 M active Facebook users (1 in every 13 people on earth; half of them are logged in on any given day) - 17,113,220 users in Canada.  48% of 18 to 34 year olds check Facebook right when they wake up…; about 28% of them check their Facebook on their smartphones before getting out of bed  57% talk to people more online than they do in real life 6

7 © Leaders Name © Liette Lapointe Truly an addiction?  30% Percentage of U.S. businesses that have fired an employee for problematic Web surfing, such as gambling, watching porn, and shopping on-line  10:1 Ratio of time spent by a typical American Internet "addict" on recreational uses, such as playing games, versus those essential to work or school  260 Additional beds planned for China's first inpatient Internet-addiction center founded last year at the Beijing Military Clinic Jebediah, R. Popular Science; Jan2007, Vol. 270 Issue 1, p37-37, 2/3p 7

8 © Leaders Name © Liette Lapointe Evidence?  Woman get a divorce in real-life to be more available for her Second-Life Husband  South Korean dies after playing an online computer game for 50 hours  Girl starved to death while parents raised virtual child in online game  A Chinese couple sold their three children for cash to play video games  Confused pilots forgot to lower the wheels and had to abort a landing in Singapore just 150 metres above the ground, after the captain became distracted by his mobile phone, an investigation has found. 8

9 © Leaders Name © Liette Lapointe IT/Application Addictive Characteristics  Internet: –Speed, accessibility, intensity of information accessed, achievement and mastery (control over the computer), pleasure  What makes it addictive: –Creating an online persona, liberating experience of the ability to change oneself (Social Networks) –Rush, excitement, sense of competition (On line auctions) 9

10 © Leaders Name © Liette Lapointe Antecedents  Low-self-esteem, poor motivation, fear of rejection, need for approval (Chou, Condron and Belland, 2005; Moharan-Martin and Schumacher, 2000)  Attention-deficit disorder, hyperactivity disorder (Gentile, 2009)  Inefficient perceptual structures, negative developmental history, lack of coping skills (Ture, Serenko, Giles, 2011)  Higher susceptibility to risk-taking, problem behavior and sensation seeking (Bianchi and Phillips, 2005) 10

11 © Leaders Name © Liette Lapointe Consequences  Decreased academic, professional and social performance (Chou, Condron and Belland, 2005; Moharan-Martin and Schumacher, 2000)  Disrupted sleep patterns and fatigue, loneliness (Niemz, Griffiths and Banyard, 2005; Young, 1998)  Mild anxiety, sleep disturbance (Chou, Condron and Belland, 2005)  Increased aggressive behavior (Lemmens, Valkenburg and Peter, 2011) 11

12 © Leaders Name © Liette Lapointe An exploratory study  11 interviews with ‘heavy’ smartphone users  182 exploratory written questionnaires (undergraduate students)  Respondents were between 17 and 29 years old; 42.86% were male and 54.95% female 12

13 © Leaders Name © Liette Lapointe The results… 13 Addicted (about 10%)Copycats (about 25%) Who are they  Introvert  Conformist  Extrovert What they do  Average: 5.24 hours/day  Use it right as they wake up  Use it during meetings  Use it while eating and socializing  Average: 3.73 hours/day  Text and drive  Play games when not appropriate  Use it during meetings  Use it right as they wake up  Use it while eating and socializing Why  Fear of rejection  Need of approval  Lonely  Anxious stressed  Powerful/fast  Active social life  Lonely  Powerful/fast Key points  Fear of rejection and need for approval  Active social life  Spend less time doings things on smartphone but have many problematic behaviours (text and drive, during meetings, playing games)  Though both addicted and copycats feel uncomfortable without their phone, copycats feel more uncomfortable.  Seem less conscious of the negative impacts of their behaviours.

14 © Leaders Name © Liette Lapointe Addictive behaviors… Most common “problematic” behaviours: Use phone during class or meetings (90%) Use phone when socializing and eating (80%) Check phone when just woke up (80%) Use it because they are bored (80%) Close to 50% of respondents: text and drive find it conflicts with their tasks are frustrated when they cannot use their phone play games when not appropriate are stressed when they cannot use their phone 14

15 © Leaders Name © Liette Lapointe Discussion  So… can we really talk about IT addiction? –Or is it simply a new way of life?  Comme parent, collègue, gestionnaire … –How can we differentiate between habits and “addiction”? –What are the organizational consequences of IT behaviors? –How should IT addictive behaviors be managed ? 15

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