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Bridging the Divide: Using UTAUT to predict multigenerational tablet adoption practices
Kate Magsamen-Conrad1, Shrinkhala Upadhyaya1, Claire Youngnyo Joa1
1Bowling Green State University.
Computers in Human Behavior
|May 5, 2015
Summary
Generational differences impact technology adoption. Effort expectancy and facilitating conditions are key predictors of tablet use intention across age groups, highlighting the need for inclusive tech training.
Area of Science:
- Human-Computer Interaction
- Technology Adoption
- Gerontology
Background:
- The Unified Theory of Acceptance and Use of Technology (UTAUT) is a prominent model for understanding technology adoption.
- Generational differences may influence how individuals perceive and adopt new technologies like tablets.
- Understanding these differences is crucial for effective technology implementation in diverse user groups.
Purpose of the Study:
- To examine the applicability of UTAUT determinants in predicting tablet use intention across multiple generations.
- To identify which UTAUT determinants significantly predict behavioral intention to use tablets.
- To explore the moderating roles of age, gender, and user experience on technology adoption.
Main Methods:
- A survey was administered to 899 respondents aged 19-99.
- The study tested the four UTAUT determinants: performance expectancy, effort expectancy, social influence, and facilitating conditions.
- Statistical analyses were performed to assess the predictive power of determinants and the influence of moderators.
Main Results:
- Significant generational differences were observed in UTAUT determinants, particularly between the youngest and oldest cohorts.
- Effort expectancy and facilitating conditions emerged as the sole significant positive predictors of tablet use intention, even after controlling for demographic factors.
- Age, gender, and user experience showed varying degrees of influence as moderators.
Conclusions:
- Effort expectancy and facilitating conditions are critical factors for promoting tablet adoption across different age groups.
- Findings suggest potential ageism and gender discrimination in technology adoption, necessitating targeted interventions.
- The study's results can inform the development of effective training programs for new technology adoption in various organizational settings.

