Gender and age differences in employee decisions about new technology: an extension to the theory of planned behavior

By Michael G. Morris, V. Venkatesh, Phillip L. Ackerman. IEEE transactions on engineering management, 2005

599 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/00da2e17ba624ad2106dd1454fbcd140c5a6af5a

How researchers see this paper

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

In Communication

1. V. Venkatesh
2. Geoffrey S. Hubona
3. Said S. Al-gahtani
4. Elizabeth White Baker
5. Michael G. Morris
6. Juho Hamari
7. Jonna Koivisto
8. María Ángeles Ramón-Jerónimo

In Information Systems and Management

1. Juho Hamari
2. V. Venkatesh
3. Jonna Koivisto
4. Keng-Boon Ooi
5. Said S. Al-gahtani
6. Garry Wei-Han Tan
7. Michael G. Morris
8. Geoffrey S. Hubona

In Sociology and Political Science

1. Juho Hamari
2. V. Venkatesh
3. Jonna Koivisto
4. Keng-Boon Ooi
5. Said S. Al-gahtani
6. Michael G. Morris
7. Garry Wei-Han Tan
8. Fred D. Davis

Citations in the corpus

• Computer use by older adults: A multi-disciplinary review (2010, background): “One of the key indicators of ongoing use is short-term use (Bick-more, Caruso, Clough-Gorr, & Heeren, 2005; Morris et al., 2005), indicating that encouraging initial use is crucial to subsequent computer use by older adults.”
• Demographic differences in perceived benefits from gamification (2014, background): “This could be especially pertinent to organizational contexts where younger employees may seek to be more autonomous (Morris et al., 2005) than older ones.”
• The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation (2008, background): “Additionally, recent research (Morris et al. 2005) suggests that gender differences in the adoption of technology are not significant for younger employees.”
• The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behavior (TPB) (2007, methodology): “As a result, contemporary applications of TPB with respect to organizational technology adoption investigate the influence of additional, relevant moderator variables to explain additional variance in the model (Morris et al., 2005).”
• NFC mobile credit card: The next frontier of mobile payment? (2014, background): “This could be due to the fact that men have higher level of openness to ideas (Costa et al., 2001) and that they are bolder to try new technological products (Morris et al., 2005).”
• Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research (2007, background): “More recently, the moderating effects have been shown to be even more complex—i.e., with higher-order interaction terms being significant (Morris, Venkatesh, and Ackerman 2005; Venkatesh et al. 2003).”
• Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study (2024, background): “However, gender effects tend to be stronger for older people as gender stereotypes are less likely to be prominent among younger generations (Morris et al., 2005).”
• Determinants Of Knowledge Sharing Behaviors: Developing And Testing An Integrated Theoretical Model (2006, unknown): “A number of studies in information systems have also used TPB to predict the usage of technology (Morris et al., 2005; George, 2004).”