Literature DB >> 34962846

Factors Influencing Intention to Technological Use in Older Adults. The TAM Model Aplication.

Antonio V Martín-García1, Rosa Redolat2, Sacramento Pinazo-Hernandis3.   

Abstract

The use of digital technology by older adults has improved in recent years in response to the need for their functional adaptation to an increasingly technological social context. Understanding this type of technological adaptation has recently become an important field of inquiry in both social and gerontological studies. Working within this framework, the aim of this study is to identify the main determinants that influence the intention of older people to use digital technology in their daily lives, using the Technological Acceptance Model. A study was carried out with the participation of 1155 people over 65 years of age in Spain. Confirmatory Factor Analysis and structural equation models (SEM) were performed. The results show that the TAM is a useful model to explain the intention of older adults to use Digital Technology, showing a high predictive power, highlighting Perceived Usefulness and Perceived Ease of Use as the main predictor variables.

Entities:  

Keywords:  analysis; digital technology; older adults; structural equation models; technology acceptance model; technology adoption

Mesh:

Year:  2021        PMID: 34962846     DOI: 10.1177/01640275211063797

Source DB:  PubMed          Journal:  Res Aging        ISSN: 0164-0275


  2 in total

1.  Assessing Older Adults' Intentions to Use a Smartphone: Using the Meta-Unified Theory of the Acceptance and Use of Technology.

Authors:  Cheng-Chia Yang; Cheng-Lun Li; Te-Feng Yeh; Yu-Chia Chang
Journal:  Int J Environ Res Public Health       Date:  2022-04-28       Impact factor: 4.614

2.  Technology and Quality of Life of Older People in Times of COVID: A Qualitative Study on Their Changed Digital Profile.

Authors:  Alicia Murciano-Hueso; Antonio-Víctor Martín-García; Ana Paula Cardoso
Journal:  Int J Environ Res Public Health       Date:  2022-08-22       Impact factor: 4.614

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.