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

A1 Originalartikel i en vetenskaplig tidskrift (referentgranskad)


Interna författare/redaktörer


Publikationens författare: de Reuver M, Bouwman H
Förläggare: ELSEVIER SCIENCE BV
Publiceringsår: 2015
Tidskrift: Information & management
Tidskriftsakronym: INFORM MANAGE-AMSTER
Volym: 52
Nummer: 3
Artikelns första sida, sidnummer: 287
Artikelns sista sida, sidnummer: 294
Antal sidor: 8
ISSN: 0378-7206
eISSN: 1872-7530


Abstrakt

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.


Nyckelord

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

Senast uppdaterad 2019-16-10 vid 02:48