User performance on laptops vs. tablets: an experiment in the field

Matthew J. Liberatore and William P. Wagner

Behaviour and Information Technology, 2022, vol. 41, issue 13, 2878-2886

Abstract: This research presents the results of a field experiment that measured users’ performance, satisfaction and confidence in completing a number of different Business Intelligence (BI) tasks using tablets and compares the results with those obtained with laptops. Previous usability research for tablets addressed basic, elemental, non-complex tasks. This study takes advantage of improvements in technology that make it feasible to conduct experiments with actual business users performing complex tasks at their corporate sites using a mobile lab. The motivation for conducting the field study was to determine the task-technology fit for tablets when completing complex business tasks. Previous task-technology fit research employed the use of surveys and/or interviews to collect data regarding the perceived fit of a specific technology to a task. The perceived fit was then seen to affect performance. Since we obtained experimental task performance and user satisfaction data, the data itself can be used to assess fit. This research shows that users working on laptops perform better than users with tablets for completing a variety of BI tasks.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.1956589 (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:41:y:2022:i:13:p:2878-2886

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

DOI: 10.1080/0144929X.2021.1956589

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 ().