Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior

By V. Venkatesh, Michael G. Morris. MIS Q., 2000

4,593 citations recorded by the source corpus.

Using the Technology Acceptance Model (TAM), this research investigated gender differences in the overlooked context of individual adoption and sustained usage of technology in the workplace. User reactions and technology usage behavior were studied over a five-month period among 342 workers being introduced to a new software system. At all three points of measurement, compared to women, men's technology usage deci

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/2c7450d4f3624361a9c4b234febef3b5a5423ffe

How researchers see this paper

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

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology (2012, neutral): “…are willing to spend more effort to overcome different constraints and difficulties to pursue their goals, with women tending to focus more on the magnitude of effort involved and the process to achieve their objectives (Henning and Jardim 1977; Rotter and Portugal 1969; Venkatesh and Morris 2000).”
Technology acceptance among pre-service teachers: Does gender matter? (2015, background): “Venkatesh and Morris (2000) examined gender differences in the relationships among theoretically grounded determinants of technology acceptance and usage, and their findings showed that, in the process of a new technology being introduced in school, male teachers gave more consideration to perceived”
A unified model of IT continuance: three complementary perspectives and crossover effects (2015, methodology): “Subjective norm was measured using Venkatesh & Morris ’ (2000) three-item scale that examined the extent to which subjects believed that their coworkers, super-visors, and clients believed that they should use the system.”
Persuasive Design of Destination Web Sites: An Analysis of First Impression (2008, neutral): “The perceived ease of use, in turn, influences the overall satisfaction with the use of system and behavioral intentions to purchase the product/service (Davis 1986; Heshan and Zhang forthcoming; Venkatesh and Morris 2000).”
Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research (2007, background): “In response to calls for research in this area, the antecedents to key constructs were identified—determinants of perceived usefulness (Venkatesh and Davis 2000); determinants of perceived ease of use (Venkatesh 2000); and, similarly, psychological origins of perceived usefulness and perceived ease ”
Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research (2010, background): “More recently, social influence has been incorporated in taM, but only in the presence of certain moderating variables, such as organizational mandate [73] or gender [74].”
Population Ageing and Socially Assistive Robots for Elderly Persons: The Importance of Sociodemographic Factors for User Acceptance (2012, background): “The mediating effect of experience with technology may also hold true with respect to gender, because men are more familiar with technology than women [31, 35] and thus might also be more likely to accept robots.”
The adoption of electronic tax filing systems: an empirical study (2003, background): “Several important external variables that have received more and more attention in the context of TAM research are individual differences, such as computer self-efficacy.(13) Consistent with practice in the information systems research literature,(14) individual differences refer to user factors tha”
An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model (2008, background): “Presently, there is a study that the societal effects and the effects of ease of use are influenced by the period of system use (e.g., Hu et al., 2003; Venkatesh & Morris, 2000).”
Modeling Influences on Impulse Purchasing Behaviors During Online Marketing Transactions (2007, background): “More recently, Venkatesh and Morris (2000) validated this revised version of TAM.”