agency, the scholarly literature about e-government
services, on the other hand, is mostly about the factor
affecting its adoption among citizens (Ooh et al.,
2009; Mohd Suki & Ramayah, 2010). Ooh at al.
(2009) used an integrated model consisting of
technology acceptance model (TAM) and diffusion of
innovation (DOI) theory, and found that trust,
perceived usefulness, relative advantage and
perceived image are positively related to intention to
use e-government services. On the contrary,
perceived complexity has an adverse effect.
Perceived strength of online privacy and non-
repudiation are found to be the predictors of citizen’s
trust to use e-government services. Mohd Suki and
Ramayah (2010) who also used the TAM, and theory
of planned behaviour (TPB) tested the acceptance of
e-government services among the citizen. The study
found similar results to Ooh at al.’s (2009), in which
all antecedents of TAM were found to be significant
predictors of attitude toward e-government services.
Additionally, the results show that both social norms
and attitude are positively related to intention to use
e-government services. One of the few studies on m-
government in Malaysia was conducted by Tunibat,
Mat Zin, and Shahri (2011), who found that even
though the awareness is high, the use of m-
government services is still low in Malaysia.
2.2 Mobile Government in Malaysia
Mobile government (m-government) can be defined
as be defined as “a strategy and its implementation
involving the utilization of all kinds of wireless and
mobile technology, services, applications and devices
for improving benefits to the parties involved in e-
government including citizens, businesses and all
government units” (Kushchu & Kuscu, 2013, p. 2).
Before the ubiquitous use of smart phones, the
Malaysian government has offered five types of m-
government services to its citizens, including
mySMS, myUSSD, myMMs, myAPP and myPay.
MySMS connects the public to various government
agencies through a unique code, 15888. These
services become less relevant with the introduction of
smartphone in 2007.
Currently, the Gallery of Malaysian Government
Mobile Applications (GAMMA, 2019) website listed
198 mobile applications under 16 categories on three
mobile platforms (i.e., Android, iOS, and Windows)
that have been developed for use of citizens and
businesses. The categories include medical, climate,
shopping, community, local travel, transportation,
news and media, among others.
One of the few empirical research on m-
government services was conducted by Azeez and
Lakulu (2018). Based on the relevant literature, they
developed an evaluation framework of m-
government services success from the perspective of
service quality, system quality, information quality,
trust, usefulness, and satisfaction. However, the
model was only tested by 15 academics who act as the
experts in m-government services. Further data
validation from a larger pool of sample is needed to
confirm the model. On the other hand, Abu Bakar and
Abdul Rahman (2016) conducted a descriptive study
to identify the use of m-government among citizens.
They found that the most frequent use of m-
government is related to lodging complaints,
retrieving educational information, and checking
status of various applications. Nevertheless, they did
not develop a conceptual framework to examine the
adoption decision of m-government services.
2.3 Underpinning Theory
Various theoretical and conceptual frameworks have
been developed and empirically tested to explain
individuals’ acceptance behaviour of new technology
and information systems. For instance, diffusion of
innovations theory (Rogers, 2010), theory of planned
behaviour (Azjen, 1980), technology acceptance
model (Davis, 1989, Davis, Bagozzi, & Warshaw,
1989), technology acceptance model 2 (Venkatesh &
Davis, 2000), technology acceptance model 3
(Venkatesh & Bala, 2008), UTAUT (Venkatesh
2003). Nevertheless, the citizen-initiated contacts
theory developed by Jones et al. (1977) could offer an
alternative theoretical lens to investigate the
acceptance of m-government by citizens.
Based on the traditional contacts with
government, Jones et al. (1977) argue that the needs
for government services determine the level of
contact a citizen with the government. Citizens with
higher needs for government services tend to have
greater contact with the government in order to seek
the services. On the other hand, Thomas (1982)
explains that citizens’ contact with government is
dependent on their socioeconomic status. The higher
the socioeconomic status a citizen possesses, the
greater contacts and participation in government
development and activities. After 20 years, Thomas
and Streib (2003) found web interaction with
government a new way for citizen-initiated contacts,
especially for obtaining public information.
Sharp (1982) presents a parabolic model of
citizen-initiated contacts with the government based
on needs and awareness dimensions. In this theory,
KMIS 2019 - 11th International Conference on Knowledge Management and Information Systems
260