More users have changed from using desktop computers to mobile devices. Mobile technology is changing the way people access information. The purpose of this study was to identify and examine the factors that influence intention towards accessing mobile technology. This article has reviewed several theories, namely; TAM, theory of media richness and diffusion and innovation theory. The findings of this study have come up with a theoretical framework and several hypotheses proposed. Therefore, this article will contribute towards the adoption and advancement of mobile websites and to guide the management of organizations related to website development and management. It provides web service providers and policy makers with a checklist of factors that appear to affect mobile web adoption.

1.
A.R.
Dennis
and
S.T.
Kinney
, “
Testing Media Richness Theory in the New Media: The Effects of Cues, Feedback, and Task Equivocality
”,
Information Systems Research
,
9
(
3
),
256
274
(
2014
)
2.
Al-Jabri
, “
The intention to use mobile banking: Further evidence from Saudi Arabia
”,
Business Management
,
46
(
1
),
23
34
(
2015
)
3.
C.H.
Cho
,
J.R.
Phillips
,
A.M.
Hageman
, and
D.M.
Patten
, “
Media Richness, User Trust, and Perceptions of Corporate Social Responsibility: An Experimental Investigation of Visual Website Disclosures
”,
Accounting, Auditing & Accountability Journal
,
22
(
6
),
933
952
(
2009
)
4.
C.M.
Jackson
,
S.
Chow
and
R.A.
Leitch
, “
Toward an Understanding of the Behavioral Intention to Use an Information System
”,
Decision Sciences
,
28
(
2
),
357
389
(
1997
)
5.
E.M.
Rogers
, “Diffusion of Innovations”, In
Diffusion of innovations
(
Third edit
). (
The free press
,
1983
)
6.
E.Y.
Keong
, “
The Adoption of Web 2.0 Technology in Malaysian Retail-Chain Businesses
”, Thesis,
Universiti Utara Malaysia
(
2014
)
7.
F.D.
Davis
, “
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
”,
MIS Quaterly
,
13
(
3
),
319
340
(
1989
)
8.
F.M.
Yamin
and
T.
Ramayah
, “
User web search behavior on query formulation
”,
2011 International Conference on Semantic Technology and Information Retrieval
(
2011
).
9.
G.C.
Moore
and
I.
Benbasat
, “
Development of an instrument to measure the perceptions of adopting an information technology innovation
”,
Information Systems Research
,
2
(
3
),
192
222
(
1991
).
10.
G.M.
Al-najjar
, “
Mobile Information Systems: An Empirical Analysis of the Determinants of Mobile Commerce Acceptance in Jordan
”. Thesis,
Universiti Utara Malaysia
,
2012
11.
H.-F.
Lin
, “
An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust
”,
International Journal of Information Management
,
31
(
3
),
252
260
(
2011
)
12.
Hootsuite & We Are Social, Digital 2020 Global Digital Overview
. In Data Reportal. (
2020
)
13.
I. F. R.
Green
, “
The Emancipatory Potential of a New Information System and Its Effect on Technology Acceptance
”, Thesis,
University of Pretoria
(
2005
).
14.
J.-Y.
Lai
and
C.-Y.
Chang
, “
User attitudes toward dedicated e-book readers for reading: The effects of convenience, compatibility and media richness
”,
In Online Information Review
,
35
(
4
),
558
580
(
2011
)
15.
K.
Lin
and
H.-P.
Lu
, “
Predicting mobile social network acceptance based on mobile value and social influence
”,
Internet Research
,
25
(
1
),
107
130
(
2015
).
16.
K.
Mathieson
, “
Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior
”,
Information Systems Research
,
2
(
3
),
173
191
(
1991
).
17.
L.L.
Berry
,
K.
Seiders
, and
D.
Grewal
, “
Understanding service convenience
”,
Journal of Marketing
,
66
(
3
),
1
17
, (
2002
)
18.
M.
Fishbein
and
I.
Ajzen
,
Belief, attitude, intention and behavior: An introduction to theory and research
. (
Addison-Wesley
,
1975
)
19.
M.
Kleijnen
,
K.
Ruyter
, and
M.
Wetzels
, “
An assessment of value creation in mobile service delivery and the moderating role of time consciousness
”,
Journal of Retailing
,
83
,
33
46
(
2007
)
20.
N.E.
Youngblood
,
L.N.
Tirumala
,
T.
Hallaq
and
R.
Cozma
, “
College TV news websites : Accessibility and mobile readiness
”,
Electronic News
,
13
(
3
),
115
133
(
2019
).
21.
P.
Hanafizadeh
,
M.
Behboudi
,
A. A.
Koshksaray
and
M.J.S.
Tabar
, “
Mobile-banking adoption by Iranian bank clients
”,
Telematics and Informatics
,
31
(
1
),
62
78
(
2014
)
22.
P.J.
Hu
,
P.Y.K.
Chau
,
O.R. Liu
Sheng
, and
K.Y.
Tam
, “
Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology
”,
Journal of Management Information Systems
,
16
(
2
),
91
112
(
1999
)
23.
R.
Bahrini
, and
A.
Qaffas
. “
Impact of Information and Communication Technology on Economic Growth: Evidence from Developing Countries
”,
Economies
,
7
(
1
),
21
(
2019
)
24.
R. L.
Daft
,
R.H.
Lengel
, and
L.K.
Trevino
, “
Message equivocality, media selection, and manager performance: Implications for information systems
”,
MIS Quarterly
,
11
(
3
),
355
366
, (
1987
)
25.
R.L.
Daft
, and
R.H.
Lengel
, “
Information Richness: A New Approach to Managerial Behaviour and Organizational Design
”,
Research in Organizational Behaviour
,
6
,
191
233
(
1984
)
26.
S.
Nikou
and
H.
Bouwman
, “
Ubiquitous use of mobile social network services
”,
Telematics and Informatics
,
31
(
3
),
422
433
(
2014
).
27.
S.
Okazaki
and
F.
Mendez
, “
Exploring convenience in mobile commerce: Moderating effects of gender
”,
Computers in Human Behavior
,
29
(
3
),
1234
1242
(
2013
).
28.
S.
Taylor
and
P.
Todd
, “
Understanding information technology usage: A test of competing models
”,
Information Systems Research
,
6
(
2
),
144
176
(
1995
)
29.
U.
Sekaran
and
R.
Bougie
,
Research Methods for Business: A Skill Building Approach
(
8th ed
.). (
John Wiley & Sons, Inc
.,
2019
)
30.
V.
Venkatesh
and
F.D.
Davis
, “
A Theoretical Acceptance Extension Model : Field Four Studies of the Technology Longitudinal
”,
Management Science
,
46
(
2
),
186
204
(
2000
).
31.
V.
Venkatesh
, “
Determinants of perceived ease of use: integrating control, intrinsic motivation and emotion into the technology acceptance model
”,
Information Systems Research
,
11
(
4
),
342
365
(
2000
)
32.
Y.
Lee
,
K.A.
Kozar
and
K.R.T.
Larsen
, “
The Technology Acceptance Model: Past, Present, and Future
”,
Communications of the Association for Information Systems
,
12
(
50
),
752
780
(
2003
)
33.
Y.
Lu
,
Y.
Kim
,
X.
Douc
and
S.
Kumar
, “
Promote Physical Activity among College Students: Using Media Richness and Interactivity in Website Design
”,
Computers in Human Behavior
,
41
,
40
50
(
2014
).
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