A meta‐analysis of the UTAUT model: Eleven years later

• Author: Paterne Ndjambou,Hager Khechine,Sawsen Lakhal
• Date: 01 June 2016
• Published date: 01 June 2016
• DOI: http://doi.org/10.1002/cjas.1381

A meta-analysis of the UTAUT model: Eleven

years later

Hager Khechine*

Université Laval

Sawsen Lakhal

Sherbrooke University

Paterne Ndjambou

Chef de Section Economie/Finances Publiques/Secteurs

Sociaux à la CAON-FED

Abstract

The unif‌ied theory of acceptance and use of technology

(UTAUT) has been widely used to investigate factors

inf‌luencing the adoption and use of information systems

and technologies (IS/IT). However, studies using UTAUT

are not conclusive in terms of statistical signif‌icance, direc-

tion, and magnitude. Through a meta-analysis of empirical

studies on UTAUT from 2003 to 2013, we determine how

parsimonious, accurate, and robust UTAUT is at predicting

acceptance and use of technology. A meta-analysis of 74

publications reveals that performance expectancy, effort

expectancy, and social inf‌luence explain IS/IT adoption,

while behavioural intention is the most often measured

dependent variable operationalized as a proxy for system

use, supporting the strength of UTAUT as an explanatory

model of IS/IT acceptance and use. Copyright © 2016

ASAC. Published by John Wiley & Sons, Ltd.

Keywords: technology adoption, meta-analysis, UTAUT,

effect size, Pearson correlation coeff‌icient

Résumé

La théorie unif‌iée de l’acceptation et de l’utilisation des tech-

nologies (désormais UTAUT) est largement utilisée dans

l’étude des facteurs qui inf‌luencent l’adoption et l’utilisation

dessystèmesd’information et des technologies (désormais

IS/IT). Cependant, du point de vue de la pertinence statistique,

de la direction et de l’ampleur, les études qui s’appuient sur

l’UTAUT ne sont pas concluantes. Dans cet article, nous

montrons, à travers une métaanalyse des études empiriques

portant sur l’UTAUT menées entre 2003 et 2013, comment

la parcimonie, la précision et la robustesse de l’UTAUT lui

permettent de prédire l’acceptation et l’utilisation de la

technologie. La métaanalyse de 74 publications révèle que

l’attente de la performance, l’attente de l’effort et l’inf‌luence

sociale rendent compte de l’adoption de l’IS/IT tandis que

l’intention comportementale est la variable dépendante la plus

souvent mesurée et opérationnalisée comme intermédiaire

pour l’utilisation du système, ce qui corrobore la puissance

de l’UTAUT comme modèle explicatif de l’acceptation et

l’utilisation de l’IS/IT. Copyright © 2016 ASAC. Published

by John Wiley & Sons, Ltd.

Mots-clés : adoption de la technologie, métaanalyse,

UTAUT, ampleur de l’effet, coeff‌icient de corrélation de

Pearson

Research on the acceptance and use of information tech-

nologies (IT) has received much attention. This interest has

been fueled by the observation that IT success depends on

the level of user acceptance, and several theories that mea-

sure the individual and the organizational acceptance have

been designed and tested. The unif‌ied theory of acceptance

and use of technology (UTAUT) proposed by Venkatesh,

Morris, Davis, and Davis (2003) is the most recent, and

has been widely applied and empirically tested to investigate

factors that could inf‌luence individuals to adopt and use

technology in various environments. Based on prior studies,

Alawadhi and Morris (2008) and Al-Shaf‌iand Weerakkody

(2010) have asserted that UTAUT is the most, and even the

best, predictive model in the acceptance literature.

Despite a vast empirical literature on UTAUT, the

results of varied studies appear inconclusive in terms of

statistical signif‌icance, direction, and magnitude (Taiwo &

Downe, 2013). For instance, Kijsanayotin, Pannarunothai,

and Speedie (2009) found that effort expectancy and social

*Please address correspondence to: Hager Khechine, Management Informa-

tion Systems Department, Administrative Science Faculty, 2325, rue de la

Terrasse, Bureau 1515, Université Laval, Québec (Québec) G1V 0A6,

Canada. Email: Hager.Khechine@sio.ulaval.ca

Canadian Journal of Administrative Sciences

Revue canadienne des sciences de l’administration

33: 138–152 (2016)

Published online in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/CJAS.1381

Can J Adm Sci

33(2), 138–152 (2016)Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd. 138