Gender, Internet and computer attitudes and experiences

By Phyllis A. Schumacher, Janet Morahan-Martin. Computers in Human Behavior, 2001

645 citations recorded by the source corpus.

Subfields: Education, Gender Studies, Media Technology

View Paper: https://www.semanticscholar.org/paper/8c60950df3eda2c04e12a1594939237b52dda2de

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Javier Sánchez-García
2. Santiago Forgas-Coll
3. Emilio Robres
4. Ramon Palau-Saumell
5. J. V. van Dijk
6. Victor R. Prybutok
7. Huanhuan Li
8. Jiaqi Wang

In Gender Studies

1. A. V. van Deursen
2. J. V. van Dijk
3. Allison Master
4. Sapna Cheryan
5. Andrew N. Meltzoff
6. Ellen J. Helsper
7. Javier Sánchez-García
8. Santiago Forgas-Coll

In Media Technology

1. A. V. van Deursen
2. J. V. van Dijk
3. Ellen J. Helsper
4. Javier Sánchez-García
5. Santiago Forgas-Coll
6. Emilio Robres
7. Ramon Palau-Saumell
8. Marie Richmond-Abbott

Citations in the corpus

• Modeling Influences on Impulse Purchasing Behaviors During Online Marketing Transactions (2007, background): “Upon arrival, they shop with the goal of quickly (and perhaps impulsively) satisfying their purchasing needs (Schumacher and Morahan-Martin 2001). When prospective customers enter any retail site’s home page, they invariably encounter at least three basic choices. During the transaction, the first c”
• Cultural stereotypes as gatekeepers: increasing girls’ interest in computer science and engineering by diversifying stereotypes (2015, background): “Among the top scorers on a standardizedmathtestadministeredinthe10thgrade,girlsrelative boys were more likely to choose social science and health-related majors in college over majors in computer science, engineering, physical sciences, and mathematics (Perez-Felkner et al., 2012).”
• A Survey on the Generalized Problematic Internet Use in Chinese College Students and its Relations to Stressful Life Events and Coping Style (2009, background): “…whereas the personality factors may include dependency, shyness, neurosis, openness (Yang et al. 2005), consciousness, low self-esteem (Armstrong et al. 2000; Amiel and Sargent 2004) and gender (Morahan-Martin and Schumacher 2000; Schumacher and Morahan-Martin 2001; Lanthier and Windham 2004).”
• Internet skills and the digital divide (2011, background): “In general, for both computers and the internet, the length of previous experience and the amount of current usage have been associated with greater technological expertise (Schumacher and Morahan-Martin, 2001).”
• A short-term longitudinal study of Internet and computer game use by adolescent boys and girls: prevalence, frequency of use, and psychosocial predictors. (2008, background): “…gender gap in favor of males has been reported in frequency of Internet use with Romanian (Durndell & Haag, 2002) and American university students (Schumacher & Morahan-Martin, 2001) and English secondary school students (Madell & Muncer, 2004), as well as Israeli school children (Nachmias,…”
• The digital divide shifts to differences in usage (2014, neutral): “…Internet’s communication tools, whereas adult males are more likely to use the Internet for information, entertainment, commerce (Jackson et al., 2001; Subrahmanyam et al., 2001; Valkenburg and Peter, 2007; Zillien and Hargittai, 2009) and online gaming (e.g. Schumacher and Morahan-Martin, 2001).”
• Gender and the Internet: Causes of Variation in Access, Level, and Scope of Use (2005, background): “As they become more experienced with the Internet, women become increasingly competent in its use (Schumacher and Morahan-Martin, 2001).”
• Gender and Information and Communication Technologies (ICT) Anxiety: Male Self-Assurance and Female Hesitation (2005, positive): “Todman 25 also found that female university students were more 26 on having Internet and computer comfort and confidence.”
• User Acceptance of Mobile Apps for Restaurants: An Expanded and Extended UTAUT-2 (2019, positive): “The additional factor, perceived credibility (security and privacy), that extends UTAUT-2 in this research, will be submitted to the same moderating effects as the rest of the constructs, based on the following arguments: i) previous research has highlighted the gender perspectives regarding confide”
• Effects of training on Internet self-efficacy and computer user attitudes (2002, background): “Other studies also suggest diminished gender difference in computer skill in the recent years (Schumacher & Morahan-Martin, 2001).”
• Gender and cultural differences in Internet use: A study of China and the UK (2007, positive): “…result confirms previous research (Arbaugh, 2000; Clegg, Mayfield, & Trayhurn, 1999; Ford & Miller, 1996; Morahan-Martin, 1998a, 1998b; Schott & Selwyn , 2000; Schumacher & Morahan-Martin, 2001; Sherman, End, & Kraan, 2000) on gender stereotypes in Internet use carried out with Western subjects.”