Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers
José M. Ponzoa,
Andrés Gómez,
Silvia Villaverde and
Vicente Díaz
Technological Forecasting and Social Change, 2021, vol. 173, issue C
Abstract:
This research investigates the perception, acceptance, and economic valuation of new generations of consumers concerning disruptive technologies (DT) using the modified Technology Acceptance Model (TAM) as a reference. Specifically, it analyzes a group of university students' responses after experimenting with augmented reality (AR) glasses and 3D printers. The results show an eminent interest in technology on the part of young people and a frequent acceptance of its inclusion in their daily lives, and a clear intention to acquire this type of technology someday. Likewise, social projection and self-realization should be considered by marketing managers for the positioning and support of DT's future sales among young people. Based on the existing literature and the research results, the role of technology in generations' daily lives Y and Z is discussed.
Keywords: Technology adoption model (TAM); Disruptive Technology Purchase Intention Model (DTPIM); Disruptive technologies; Augmented reality (AR); 3D Printing; Consumer Behavior (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521005990
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005990
DOI: 10.1016/j.techfore.2021.121166
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().