Dealing with self-report bias in mobile Internet acceptance and usage studies

A1 Journal article (refereed)


Internal Authors/Editors


Publication Details

List of Authors: de Reuver M, Bouwman H
Publisher: ELSEVIER SCIENCE BV
Publication year: 2015
Journal: Information & management
Journal acronym: INFORM MANAGE-AMSTER
Volume number: 52
Issue number: 3
Start page: 287
End page: 294
Number of pages: 8
ISSN: 0378-7206
eISSN: 1872-7530


Abstract

Self-report bias is a known validity threat to IS usage studies. Respondents may find it even more difficult to assess their actual usage of mobile services as these can be used in highly variable contexts. This paper examines the extent of self-report bias in mobile acceptance and usage studies and suggests countermeasures. We demonstrate that several Type-1 and Type-2 errors are made when relying on self-reports rather than log data. Weighing can partly mitigate self-report bias as older people are more accurate than younger people. Log data replace self-reports in order to reduce self-report bias in mobile acceptance studies.


Keywords

Acceptance, Method bias, Mobile applications, Self-report bias, Usage

Last updated on 2019-22-08 at 05:48

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