Evaluating technology engagement in the time of COVID-19: the Technology Engagement Scale

Silvia Serino, Andrea Bonanomi, Lorenzo Palamenghi, Cosimo Tuena, Guendalina Graffigna and Giuseppe Riva

Behaviour and Information Technology, 2024, vol. 43, issue 5, 943-955

Abstract: Our lives have drastically changed during the COVID-19 pandemic. Information and communications technologies (ICTs) have replaced other media as the primary means of work, communication, expression, and entertainment throughout this time. As society's reliance on technology increases throughout and possibly after the pandemic, it is critical to fully understand the multifaceted nature of engagement with technology and develop reliable instruments capable of accurately evaluating its processual nature. Therefore, this study aimed at describing and psychometrically validating a novel instrument to measure the dynamics of engagement with technology, namely the Technology Engagement Scale (TES). Data were collected from a representative sample of 2021 participants in Italy. Results from both the confirmatory analysis and the Rasch model suggested the mono-dimensionality of the 5-item TES. Moreover, empirical ordinal alpha indicated a very good internal consistency. Findings provide also solid evidence for the convergent validity of the proposed instrument. Finally, it emerged that TES levels were able to predict the frequency of online activities during the COVID-19 pandemic. Globally, these findings suggest that the TES could be considered a reliable and valid tool, able to evaluate the complex process of engagement with technology in a simple, quick, and easy-to-administer manner.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2023.2196572 (text/html)
Access to full text is restricted to subscribers.

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:taf:tbitxx:v:43:y:2024:i:5:p:943-955

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2023.2196572

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().