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International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
1
OBSTACLES TOWARDS ADOPTION OF MOBILE BANKING IN
TANZANIA: A REVIEW
Joel D.Rumanyika
College of Business Education (CBE)-Dodoma Campus, Department of ICT and Mathematics
P.O Box 2077 Dodoma, Tanzania
Email: [email protected]
Abstract
Adoption of mobile banking in Tanzania is negatively affected by factors such as theft of mobile handsets, poor
network coverage, lack of knowledge of m-banking users, high mobile money transaction fees, irregular standards
of mobile money payments, lack of enough float of mobile money agents, ATM breakdown and theft, lack of trust of
mobile money agents, and poor security of mobile networks. Fourteen (14) current papers (2010-2014) related to
the study were reviewed to extract obstacles which appear most frequently. The frequencies and percentages of eight
(8) studied variables were computed using excel and presented in tables and pie chart. The findings reveal that poor
network coverage, lack of knowledge of m-banking users, lack of enough float of mobile money agents and ATM
breakdown and theft are major obstacles on the way to the adoption of m-banking in Tanzania. The study
recommends that, the government and all other stakeholders should hastily focus their first priority to tackle the
most critical obstacles instead of dealing with a huge number of obstacles, taking into account the limited resources
the country is facing. This approach may be productive since it needs little resources, integrated efforts and
strategies which must be implemented in parallel with government policies such as National Strategy for Growth
and Reduction of Poverty (NSGRP).
Key words: Obstacles, Adoption, Mobile Banking, Tanzania
INTRODUCTION
Mobile services are highly adopted in developing
countries because of the rapid growth in mobile
networks [46]. It is on these mobile networks mobile
banking (M-banking) services can travel seemingly
effortless across distance, and which constitutes the
bridge that many donors now put their hope too [11].
In mobile banking the mobile devices have
specialized built-in hardware, such as cameras,
accelerometers, Global Positioning System (GPS)
receivers, and removable media readers. Mobile
devices are integrated with multiple wireless
communication technologies such as Wireless
Fidelity, (Wi-Fi), Worldwide Interoperability for
Microwave Access (WiMAX), Bluetooth, Near Field
Communications (NFC), and a cellular interface
which are configured to use CDMA or GSM network
schemes [46].
Worldwide, there is an increase of mobile banking
services for example in India banks such as State
Bank of India (SBI) provides bank accounts, deposit,
withdrawal and remittance services, micro-insurance,
and micro-finance facilities to its customers through
mobile banking [51]. In the year 2009 Pakistan
launched mobile banking solution, in coordination
with Taameer Bank, under the label Easy Paisa. In
Iran, Guatemala and Mexico consumers can access
mobile banking services with local mobile networks,
whereas in Saudi Arabia banks like Riyadh, Rajhi,
Alahali, SAMBA, and SABB have made substantial
investments in mobile banking capabilities and
smaller banks are not far behind. In African
countries companies like Vodafone have launched
mobile money transfer for business, known M-Pesa
in 2007 and M-Kesho in 2010 in Kenya whereby
Equity Bank and Safaricom Mobile phone services
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
2
facilitate customers to transfer money to and from
their Equity bank account via the mobile phones and
still enjoying other benefits which come with the
bank accounts [39]. In Rwanda, MTN was authorized
to provide mobile money services in February 2010,
likewise in Uganda, Airtel and MTN started their
mobile money programs in 2009.The mobile banking
penetration rates in Africa vary a lot, from under 10%
in Ethiopia to nearly 100% in Gabon, where the most
responding countries are Ghana (39.3%),
Mozambique (49.7%), Nigeria (26.9%), South Africa
(30.1%) and Zambia (22.1%).The average growth for
mobile banking in whole continent is of about (33%)
([48]; [16]).
According to the statistics from Tanzania
Communications Regulatory Authority (TCRA) it
shows that, the number of mobile phone subscribers
has increased up to (58%) with over 27 million
subscribers in 2013 [57]. This indicates that mobile
technologies are rapidly being adopted both locally
and globally, a situation which has open up new
business ventures and hence giving financial
institutions some additional channels for them to
deliver their services through mobile
telecommunication systems. Today, mobile banking
systems e.g. electronic payment systems which
comprises of Automatic Teller Machines (ATMs),
Point of Sale (POS) devices, Electronic Cards,
Internet banking, Mobile Payment Services and
Money Transfers Services (Remittances) are serviced
in most of urban and rural centers and therefore
contributing towards wider outreach of financial
services to unbanked population of both rural and
urban areas of the country [64].
Scientifically, performing transactions using a mobile
device, a customer must initiate the request that goes
through the mobile network operator (MNO) and
then terminates at the server application that can be
administered by a technology vendor or
independently by a financial institution. The most
used data transmission technology is Global System
for Mobile (GSM) which can connect the globe and
allowing the full access to details and transactions of
personal bank accounts. The most famous engrossed
telecommunication companies and financial
institutions offering mobile money transfer services
in Tanzania include: Tigo Tanzania Ltd, Vodacom
Tanzania, CRDB Bank, and National Microfinance
Bank (NBC) whereby the services offered are
Tigopesa, M-Pesa, Ezy-Pesa, Airtel Money, TTCL
and NMB Mobile respectively. All of the above
mentioned companies are in competition with each
other and the entire sector is open to further
investment be it local or foreign [57].
Mobile coverage is improving, especially as more
competitors enter the market and up to year 2013,
(89%) of population is said to be covered to the
95dBm signal level, with (54%) of geography
covered [23]. The value of mobile (SMS) banking
transactions has increased to (94.36%) in year 2013,
whereas the value of internet banking transactions
has increased up to (28.05%) in year 2012. This
increase is attributed to the increase of the number
of banking institutions offering mobile (SMS) and
internet banking namely: Equity Bank (T) Ltd, NIC
Bank (T) Ltd, Barclays Bank (T) Ltd, Citibank (T)
Ltd, CRDB Bank Plc, NBC Bank Ltd, Standard
Chartered Bank (T) Ltd, FBME Bank Ltd, Bank M
(T) Ltd, United Bank for Africa, Stanbic Bank (T)
LTD, Amana Bank Ltd, Azania Bank Ltd, Diamond
Trust Bank (T) Ltd , Commercial Bank of Africa Ltd
[64].
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
3
Fig. 1: The different equipments involved in mobile transactions
Source: Compiled from Literature Review
In addition, the Tanzanian government through its
ICT sector has increased broadband connectivity by
linking to the SEACOM and Eastern Africa
Submarine Cable System (EASSy) networks in 2009-
2010, and the launching of the National ICT
Broadband Backbone (NICTBB) in year 2012. The
financial institutions with banking license and
infrastructure have enabled the exchange of money
between different parties [33]. Banks provide
oversight and regulatory compliance with Bank of
Tanzania (BoT) and with mobile network operators
(MNO).
Bank of Tanzania has signed a Memorandum of
Understanding (MOU) with TCRA with the intention
of sharing regulatory and supervisory information.
Also, Tanzania is the member of Alliance for
Financial Inclusion (AFI), which recently has issued
a guideline note for Supervision and Oversight of
Mobile Financial Services to its members
(SOMFS).Despite the efforts made by the
government and private sectors in improving mobile
banking systems and apart from the opportunities and
services offered by mobile banking companies and
despite having almost half of Tanzania population
possessing mobile phones and other mobile banking
supporting devices still and astonishing there is low
rate of mobile banking adoption among most of
Tanzanians. This study examines the obstacles
towards the adoption of mobile banking in Tanzania.
LITERATURE REVIEW
Theoretical Literature Review
This study adopts the Diffusion Innovation Theory
(DIT) which was developed by Rogers in (1983) and
modified in (2003). This is due to considering mobile
banking as technological innovation and also
considering DIT as the theory which attempts to
explore the factors which affect an individual to
adopt an innovation or new technology. [52] defines
diffusion as the adoption of an innovation over time
by the given social system. According to Rogers
(p.175), there are five perceived characteristics of
innovation that can be used to form a favourable or
unfavorable attitude toward an innovation, namely:
relative advantage, compatibility, complexity,
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
4
trialability, and observability. The five attributes and
their relationship with m-banking innovation
adoption can be summarized as follows:
Relative advantage is the degree to which an
innovation is perceived as being better than the idea it
supersedes [13]. For a person to choose to use a
technology for a specified task, it should provide
some form of benefit for the task concerned. This
means that when the users perceive relative
advantage or usefulness of a new technology over an
old one, they tend to adopt it ([35]; [52]). In mobile
banking adoption scenario, advantages like
convenience, speed and affordability to customers is
reported [30]. Increased performance, cheaper costs
and increased social standing brought about by
mobile banking show a sense of relative advantage.
Compatibility refers to the degree to which a service
is perceived as consistent with users’ existing values,
beliefs, habits and present and previous experiences
[15]. Compatibility is the degree to which an
innovation is perceived as consistent with the existing
values, past experiences, and needs of potential
adopters. Compatibility has further been found
influential in the adoption of mobile payments and
mobile banking ([30]; [27]; [14]). Furthermore,
compatibility may be of a technical basis such as
software or hardware with a computer and therefore,
interruption to one’s workflow should also be
minimal and the technology should not cross one’s
value or belief system. In mobile banking
compatibility represents the ability of users to adopt a
reliable system which matches with the existing
values, past experiences, and needs of potential
adopters.
Complexity refers to the sense of difficulty that the
user has in using and understanding an innovation. In
m-banking adoption, complexity in use is a major
factor [7]. There are significant amount of empirical
researches on the mobile technology which suggest
that users’ intention to adopt m-banking is hindered
by the perceived complexity of the innovation ([10];
[32]. This means that barriers of mobile banking
adoption are predominantly related to technical
complexity of technical infrastructure and the design
of technology. In Tanzanian environment users will
reject to use mobile banking services if and only if
they find it demanding more mental efforts, time
consuming, unstable, risky and even frustrating.
Trialability refers to the capacity to experiment with
new technology before adoption and it covers
opportunities such as test drives, demonstration units
and simulations. Physiologically, if potential adopters
are allowed to experiment with an innovation, they
will feel more comfortable with it and are more likely
to adopt it ([52]; [4]). Also [55] argue that, if
customers are given a chance to try the innovation, it
will minimize certain unknown fear and lead to
adoption of it. In mobile banking perspective, the
perception of risk is even more important due to fear
of loss of PIN codes, fear of hackers access to bank
accounts via stolen PIN codes and fear of loss or theft
of mobile device with stored data or information
([50]; [28]; [31]; [17]). Therefore, in Tanzanian
environmental context perceived risk is more likely
to negatively affect the mobile banking adoption
since most of the adopters are afraid of the mentioned
risks.
Observability of an innovation describes the extent to
which an innovation is visible to the members of a
social system, and the benefits can be easily observed
and communicated [52]. Rogers found evidence for
the power of observability when he plotted the
number of adoptions over time. These plots revealed
a normal Bell curve and adopter categorization on the
basis of innovativeness. Examples of these curves are
shown in Figure 2. (a and b), both reflecting how
knowledge and observability shape the rate of
diffusion of the adopters.
Rogers (2003) defined the adopters and categorized
innovation adopters into five groups which are:
Innovators who are (willing to experience new ideas
and thus be prepared to cope with unprofitable and
unsuccessful innovations, and a certain level of
uncertainty), Early adopters who (are more limited
with the boundaries of the social system and who are
more likely to hold leadership roles in the social
system), Early majority (who have a good interaction
with other members of the social system, though do
not have the leadership role but their interpersonal
networks are still important in the innovation-
diffusion process) Late majority (which occupy one-
third of all members of the social system and who
wait until most of their peers adopt the innovation).
The last group is Laggards (who have traditional
view and they are more skeptical about innovations
and change agents than the late majority though they
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
5
do not have leadership role). In the context of mobile
banking, observability means the ability to access the
banking services at any time and from any location
without any delay or queue, and seeing the effect of
mobile banking transactions immediately, and
conveying the accessibility benefits to others [7].
Therefore, in Tanzania context observability has the
positive effect on mobile banking adoption
Figure 2(a): Bell curve of adoption frequency
Source: Rogers (2003)
Figure 2(b): Adopter Categorization on the Basis of Innovativeness
Source: Rogers (2003)
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
6
From the above figures adoption is slow in the
beginning as awareness of the technology is limited,
but as more and more people use the technology, the
public becomes more aware of the technology and
thus the rate of adoption increases until the
technology is in common use and has saturated the
market. This means that, for a person to adopt a
technology, seeing, hearing about, or otherwise
attract other individuals to adopt that technology
dramatically. Based on the above view, the suitability
of DIT in this study is thus mobile banking adoption
in Tanzania can be accepted or rejected if and only
if there are clear observed customers’ benefits such
as technology flexibility, not time consuming, not
prone to insecurity, and creates high degree of
interaction. DIT fits the study since it exposes the
requirements for adoption of the technology which is
related with measuring the attributes of relative
advantage, complexity, compatibility, trialability, and
observability. These attributes are the most frequently
salient factors for adoption of mobile banking
technologies and can be used to make decision for
full use of an innovation. This study, examines the
obstacles which delay the full adoption of mobile
banking of most citizens in Tanzania.
Empirical Literature Review
Obstacles Towards Adoption of Mobile Banking
in Tanzania
Mobile banking (m-banking) is one of the emerging
Information and Communication Technologies (ICT)
elements that have changed the operations of the
banking sector. In mobile banking refers to the
execution of financial services using mobile
communication techniques together with mobile
devices [24]. Mobile banking services can be
classified into SMS Banking, Application (Software)
oriented, Browser (Internet) based model and Mobile
Apps [19]. Banks are introducing m-banking in order
to take advantage of high mobile phone penetration
around the world and more specifically in Africa
[59]. However, in developing countries for example
both in Sub-Saharan Africa and North Africa, there
most frequently reported obstacles. Globally,
obstacles for mobile banking can mean the
confronting events or difficulties which hinder the
adoption of certain technology or confronting events
which are contrary to the adoption of certain
technology. For instance 80% of adults in Sub-
Saharan Africa had no formal accounts and 60% in
North Africa [18]. This implies that, apart from
adoption of ICT for financial services and especially
mobile banking service still there are obstacles facing
the effectiveness of the technology.
A study of [29] investigating consumers’ attitudes
towards online and mobile banking in China reveals
fear of security risks to be the main reason for the
rejection of internet banking whereby, low computer
technological skills and Chinese traditional cash-
carry culture are associated to be the main factors for
rejection.
In India and Jordan studies of ([19]; [26]) and [54]
identify challenges such the rapid changes of
technology for example changes like 2 Generation
(2G), 3 Generation (3G) and 4 Generation (4G),
evolutions of smart phones, evolution of new
operating systems such as androids and new mobile
Apps as the obstacles for mobile banking adoption.
The changes in mobile technology is considered as
the stumbling blocks because (53.8%) of mobile
banking customers in the country used conventional
mobile phones while (46.2%) used smart phones and
(75.4%) of customers had not even tested mobile
services of their banks up to year 2013. Other
challenges reported in that study are risk of mobile
phones theft and a lack of awareness on the kind of
security mechanism to be followed by a customer for
securing their transactions e.g. Password/Mobile PIN
number.
[6] study in Nigeria reveals that the main constraint
to the adoption of mobile banking are poor network
security, poor or unavailable telecommunication
infrastructures especially in rural areas and poor
internet and computer knowledge whereby mobile
phones are as a luxury with only the basic functions
utilized, i.e. making and receiving calls and
sometimes sending text messages. In the same study
the issue of cost of compatible mobile phones. The
costs of smart phones devices, cost for repair and
maintenance and costs of purchasing internet services
are beyond the reach of most workers in both the
public and private sectors as a result, they depend on
the bank branches and are simply content with the
short message services from the banks.
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
7
Furthermore, a study of [22] on Barriers to Adoption
of Mobile banking in Ghana states four main reasons
contributing to the rejection of mobile banking by the
consumers to include: poor knowledge about mobile
banking, low consumers’ attitude to learn about
mobile banking, poor telecommunication network
and enormous consumers’ preference for traditional
means of banking instead of mobile enabled banking
services.
In Tanzania a study of [33] identifies the obstacles
for poor mobile banking in the country to be: fear of
security risks such mobile viruses and other form of
malware, poor privacy in data protection, poor
knowledge on PIN number protection and fear of
harassment e.g. female customers as obstacles which
hinder mobile banking in the country. Fear of
security risks such as viruses and other form of
malware is due to the reason that, handheld devices
can receive viruses from multiple channels through
internet applications technologies such as WAP, Wi-
Fi, Instant Messaging (IM) and Bluetooth, which
leads to lack of end-to-end security.
The Selected Studies from Tanzanian Context on Obstacles Towards Adoption of Mobile Banking
To accomplish this study, previous studies were
reviewed and from which independent variables were
selected and measured as shown in the Table 1.0
Table 1.0: Major Findings from Tanzanian Context on Mobile Banking
Author(s) and Title Major Findings
[8]. Analysis of Mobile Banking for Financial Inclusion in
Tanzania: Case of Kibaha District Council.
i) Poor security of mobile handsets, ii) technological
changes e.g. mobile handset, iii) poor m-banking
infrastructure to handle exponential growth of the
customer base iv)bank system failure e.g. ATM
machines.
[46]. Enhanced Security Model For Mobile Banking Systems
In Tanzania.
i) Poor mobile network security, ii) users ignorance to
use the m-banking systems, iii) fear of fake base
stations especially GSM networks.
[63]. Mobile Money for Business Development in East
African Community: A Comparative Study of Existing
Platforms and Regulations. United Nations Community
i) Mobile agents running out of cash, ii) increased
wrong transfer, iii) network downtime, iv) unclear
mobile money regulations and jurisdiction, v) increased
cyber crime, vi) delays on refunding the money in case
of wrong transfer.
[11]. Mobile Money Transfers and usage among micro-and
small businesses in Tanzania.
i) Poor network coverage, ii) large amount charged for
e-transactions iii) lack of security arrangement, iv) low
knowledge and capacity to use mobile transaction
supporting devices and v) low or no enough cash from
mobile agents.
[44]. Challenges of mobile-phone money transfer services’
market penetration and expansion in Singida District,
Tanzania.
i) Unavailability of network coverage ii) poor mobile
money payment systems arrangement, iii) increased
mobile transaction charges, v) fraud issues and
insecurity, v) increased unfaithful workers, vi) lack of
e-float/cash of mobile agents.
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
8
[61]. Modeling the Adoption of Mobile Payment System for
Primary and Secondary School Student Examination fees in
Developing Countries: Tanzanian Experience.
i) Lack of enough cash from mobile agents , ii) lack of
trust of m-baking systems iii) Fear of unfaithful
workers, iv ) inadequate float or cash of mobile agents
to serve the customers.
[45]. Mobile banking services in the East African community
(EAC): Challenges to the Existing Legislative and
Regulatory Frameworks.
i) High transaction fee, ii) unclear policies of mobile-
payment platform, iii)lack of technical experts, iv) low
customers’ knowledge on m-banking usage .
[36]. Mobile Money in Tanzania: Use. Barriers and
Opportunities (InterMedia, Washington DC).
i) Insufficient knowledge of customers on m-banking,
ii) unfaithful mobile money agents, iii) poor network,
iv) technical problems on registering for m-money.
[62]. Safety on ATM and Mobile Banking Services -
Communication Systems Design-Summer Final Report
(Version 1.2).
i) ATM cards skimming, ii) ATM card theft, iii) data
compromising via social engineering iv) mishandling
of PIN and ATM card, v) collusion with colluded staff
from mobile phone operators e.g. SIM Swapping, vi)
failure of ATMs.
[56]. Mobile Money: A Path to Financial Inclusion, Tanzania
Intermedia.
i) Lack of customers’ understanding of mobile money,
ii) increased security risks tied to PIN sharing, iii)
problems with registration, iv) poor network service)
difficulties in charging phones i.e.unstable electricity
vi) mistrust with mobile money agents.
[33]. State of Mobile Banking In Tanzania and Security
Issues.
i) Mobile network are prone to security, ii) lack of
common standard among mobile banking service
providers, iii) mobile money agent misconduct, iv)
increase of mobile malware e.g. viruses.
[43]. Assessment of Challenges Facing Customers in
Automated Teller Machines in the Banking Industry in
Tanzania: A Case of Some Selected Banks in Tanzania.
i) ATM card locking, ii) mobile network insecurity, iii)
ATM machine breakdown, iv) ATMs out of cash, v)
and long time in cash dispensing.
[41]. SURVEY OF MOBILE PHONE USAGE PATTERNS
AMONG STREET VENDORS IN DAR ES SALAAM
CITY-TANZANIA.
i) Language problem e.g. used mobile language
should be Swahili (native language), ii) lack of
awareness on the benefits received as regarding the
usage of mobile money transfer, iii) poor network
infrastructure, iv) mobile phone software and hardware
incompatibility.
[38]. Mobile money for the unbanked: Lessons from
Tanzania.
i) Unwillingness to use m-banking tools, ii) high cost
imposed on mobile transactions, iii) lack of trust of
mobile network, iv) lack of knowledge on how to use
mobile phones, vi) no access to network agents, vii)
lack of mobile handsets.
Source: Literature Review
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
9
METHODOLOGY
This research employs a quantitative approach in
which descriptive analysis was adopted. Exhaustive
literature review was conducted in order to identify
the most frequent obstacles towards the adoption of
mobile banking in Tanzania. Different studies from
different perspective worldwide have been reviewed
.In order to make the study more focused; variables
of the study were extracted from fourteen (14)
selected literatures from a Tanzanian environment.
The choice of the literatures was based on their
relevance to the topic in discussion but also was
limited to only five (5) current years. A sample size
of 14 literatures was viewed sufficient for statistical
analysis since [53] and [37] used a sample of 12
literatures to draw up the conclusions. From the
literature, ten (10) challenges were identified and
analyzed descriptively and presented in tabular form
in which frequencies and percentages were
computed. These variables include; (i) increased theft
of mobile handsets and ATMs cards, (ii) poor
network coverage, (iii) lack or low knowledge of
mobile banking systems users, (iv) large amount
charged on mobile money transactions, (v) irregular
standards of mobile money payments, (vi) lack of
enough float, ATMs breakdown and theft, (vii) lack
of trust of mobile money agents, (viii) poor security
of mobile networks. In this study, the choice for the
critical obstacles was restricted only to those obstacle
which with scores at least 50% ([34]; [53]; [37]).
Conceptual Framework
Based on the literature review, a number of obstacles
headed poor adoption of mobile banking in Tanzania
have been identified, whereby independent variables
are: (i) increased theft of mobile handsets, (ii) poor
network coverage, (iii) lack or low knowledge of
mobile banking system users, (iv) high mobile
money transactions fees, (v) irregular standards on
mobile money payments, (vi) lack of enough float
and ATMs breakdown, (vii) lack of trust of mobile
money agents, (viii) poor security of mobile
networks which affect the route for the adoption m-
banking in Tanzania. The dependent variable in this
study is “adoption of mobile banking in Tanzania”.
Figure 4: Conceptual Framework
Source: Developed from Literature Review
International Journal of Information Technology and Business Management
29th
March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
10
Hypotheses
From on the literature reviewed, obstacles towards
mobile failure banking in Tanzania can lead to
having the following hypotheses:
H1: There is a negative relationship between theft of
mobile handsets and mobile banking adoption in
Tanzania.
H2: There is a negative relationship between poor
network coverage and mobile banking adoption in
Tanzania
H3: There is a negative relationship between lack of
knowledge of m-banking users and mobile banking
adoption in Tanzania.
H4: There is a negative relationship between high
mobile money transaction fees and mobile banking
adoption in Tanzania.
H5: There is a negative relationship between irregular
standards on mobile money payments and mobile
banking adoption in Tanzania.
H6: There is a negative relationship between lack of
enough float, ATM breakdown and theft and mobile
banking adoption in Tanzania.
H7: There is a negative relationship between lack of
trust of mobile money agents and mobile banking
adoptions in Tanzania.
H8: There is a negative relationship between poor
security of mobile networks and mobile banking
adoptions in Tanzania.
FINDINGS AND DISCUSSION
After an extensive literature review, the most
extracted obstacles headed to mobile banking
adoption in Tanzania for are presented in as
presented in Table 2.0. The sign (∞) shows the
variables which have been found to be the critical
challenge as per this study.
Table 2.0: Obstacles Towards Adoption of Mobile Banking Adoption in Tanzania
Researcher/Article
Findings
{1}
TMHs
{2}
PNC
{3}
LKMU
{4}
HTF
{5}
ISMP
{6}
LFAB
{7}
LTMA
{8}
PSMN
[8] ∞ ∞ ∞ ∞
[46] ∞ ∞
[63] ∞ ∞ ∞ ∞
[11] ∞ ∞ ∞ ∞ ∞
[44] ∞ ∞ ∞ ∞ ∞ ∞
[61] ∞ ∞
[45] ∞ ∞ ∞ ∞
International Journal of Information Technology and Business Management
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March, 2015. Vol.35 No.1
© 2012-2015 JITBM & ARF. All rights reserved
ISSN 2304-0777 www.jitbm.com
11
[36] ∞ ∞ ∞
[62] ∞ ∞ ∞
[36] ∞ ∞ ∞ ∞
[33] ∞
[43] ∞ ∞ ∞ ∞
[41] ∞ ∞
[38] ∞ ∞ ∞ ∞ ∞
Key: {1} TMHs = Theft of mobile handsets, {2}
PNC = Poor network coverage, {3} LKMU = Lack of
knowledge of mobile banking users {4} HTF =High
mobile money transaction fees, {5} ISMP = Irregular
standards on mobile money payments, {6}
LFAB=Lack of enough float, ATMs breakdown and
theft, {7} LTMA =Lack of trust of mobile money
agents, {8} PSMN=Poor security of mobile
networks. From Table 2.0, the most frequently
extracted variables are presented in Table 3.0 to
show the frequencies and percentages of variables
studied.
Table 3.0: Frequencies and Percentages of the Obstacles Towards Adoption of Mobile Banking in Tanzania
Variables Frequency Percent
Theft of mobile handsets and ATM cards 3 21.4
Poor network coverage 11 78.6∞∞∞
Lack of knowledge of m-banking users 8 57.1∞∞
High mobile money transaction fees 4 28.6
Irregular standards of mobile money payments 3 21.4
Lack of enough float, ATMs breakdown and theft 7 50.0∞
Lack of trust of mobile money agents 6 42.8
Poor security of mobile networks 8 57.1∞∞
Source: Compiled from Literature Review, 2015
The results (Table 3.0 and Figure 3) indicate poor
network coverage (78.6%), lack of knowledge of m-
banking users (57.1%), lack of enough floats, ATMs
breakdown and theft (50%), poor security of mobile
network (57.1%), are critical obstacles towards the
adoption of mobile banking in Tanzania
.
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Figure 3: Frequencies Showing Obstacles Towards the Adoption of Mobile Banking in Tanzania
Source: Literature Review, 2015
Poor network coverage (78.6 %), lack of knowledge
of mobile banking users 57.1%, lack of enough floats
and ATMs breakdown (50%), poor security of
mobile network (57.1%) are critical obstacles
towards the adoption of m-banking in Tanzania.
Poor network coverage in Tanzania still persists
whereby the network down time increases. The
findings noted that, poor network coverage is the
result of poor mobile network infrastructure. In both
urban and rural areas transactions using a mobile
device require a customer to initiates the request that
goes through the mobile network operator (MNO)
and terminates at the server application that can be
administered by a technology vendor or
independently by a financial institution. A study [40]
identifies that (45%) of Tanzania areas have limited
cellular network whereby the urban areas has at least
reasonable coverage compared with rural areas.
Another cause for poor network coverage may
include increased number of customer served by a
single base transceiver station (BTS) whereby the
same study identifies that (44.6%) of the subscribers
at the University of Dodoma claimed of network
outage and call dropout a situation caused by lack of
sufficient BTS whereby 23,000 customers could be
served by only three BTS.
These results are in harmony with Tanzania
Infrastructure Report of year 2010 [65] which reveals
that only (65%) of the Tanzania population lives
within the range of a GSM signal, compared with
over (90%) in neighboring Kenya and Uganda. This
indicates that network coverage in Tanzania is still
inadequate. Also the ITU report of year 2013 shows
that, up to May 2014, the Tanzania communication
network stretched over 7,560 km across the country,
connecting 34 regional headquarters with only 6.1
million users, which is equal to (13.1%) of the
population. Inadequate network coverage and low
network capacity contributes to failure to adoption of
m-banking in Tanzania. However, these results are
supported by DIT in one of its constructs attributes
21.4%
78.6%
57.1%
28.6% 21.4%
50%
42.8%
57.1%
Percentage Showing Obstacles Towards Adoption of Mobile-Banking in Tanzania
Theft of mobile handsets
Poor network coverage
Lack of knowledge of m-banking
users
High mobile money transaction fees
Irregular standards of mobile money
payments
Lack of enough float, ATM
breakdown and theft
Lack of trust of mobile money agents
Poor security of mobile networks
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13
“observability” which address that, in order to adopt
m-banking a user should be able to access the
banking services at any time and from any location
without any delay or queue, and seeing the effect of
m-banking transactions immediately, and conveying
the accessibility benefits to others. In this study in
order to enhance m-banking, there should be network
coverage and ATM machines everywhere and at any
time.
Regarding lack of knowledge of mobile banking
users, the findings reveals that there is lack of
understanding of how mobile banking and mobile
related transactions operate. In many cases in the
review, the situation shows that most of users have
poor or lack skills of using m-banking supporting
devices such as mobile phones, ATMs, computers
and credit cards. These results are similar to the
results of [5] in Nigeria which reveals that (60%) of
the population lacks the requisite skills to fully
operate most internet technologies (quoted) in [1].
The reason behind such huge percent is that the
teaching of technology in most Nigerian primary and
secondary schools are usually in theory as there is
nothing to practice and hence the condition persist
up to adult level. Accordingly, these findings are
equivalent with those in [32] which identifies that the
early and first barrier to the adoption of mobile
payments in Finland was the complex procedures
giving an example of SMS formats which are
complex, slow to key in various codes and difficult to
remember. Using mobile phone requires knowledge
and ability to properly follow the procedures as a
study of [40] revealing that, the presence of
improper charging of the mobile phone battery
which limits its life span and hence leading to the
poor quality of the handset and susceptible to call or
login drop out when used for mobile payments or m-
banking. The same study reports the problem of the
language whereby most of the mobile handsets are
configured to operate in English or other foreign
languages, while majority of Tanzanians understand
native language known as “Kiswahili”. Similarly,
these findings are in harmony with DIT in one of its
constituents which claims that complexity in using
and understanding an innovation can be the hindrance
for user’s intention to adopt it. In this study, the
barriers of mobile banking adoption is predominantly
related to technical complexity of mobile handsets
language, SMS difficult procedures and poor
understanding on how to handle the mobile banking
supporting devices so that they can survive in service
for long time.
Considering, lack of enough floats, ATMs
breakdown and theft, the findings identifies the
obstacle to be critical with (50%). The case of mobile
money agents failure to serve their customers due to
having no enough float has been reported in many
papers. In the side of ATMs breakdown and lack of
cash, the findings have identified the issues ATMs,
network downtime which may lead to customer’s
disappointments due to time wasted. The issues of
cash theft through ATMs and ATM cards involving
actions such as card skimming (wireless fake PIN
pad overlay), wireless card reader, and wireless
miniature camera have also been reported. On the
same scenario there are actions executed such as
cutting ATM cards’ slits into both sides of the trap
which prevents a customers’ card from being
returned prior the completion of customers’
transactions. There are other unfaithful behaviors like
a criminal pretending to be a Good Samaritan, while
he\she wants to observe the customer’s PIN number.
The findings have revealed that some of customers
feel insecure or fear of being harassed especially
when they are requested to provide their details such
as mobile phone number and residents [26].
The entire findings are similar to those of reference
[9] in Kenya which reveals that mobile money
agents have been losing on average of five customers
everyday due to lack of float, a situation which has
led to (90%) of customers to keep on trusting the
physical bank transactions in the country.
Accordingly, these findings are in harmony with the
results of ([2]; [66]; [5]) in Nigeria which reveal the
introduction of ATMs in country to have led to
increased number of financial fraud whereby
fraudsters, have found it as a new heaven of
compromising innocent people's personal
identification numbers (PIN), a chance for bank
staff to inspect customers’ account numbers and a
chance for information technology experts to claim
for ATMs network failure while it isn’t. Also ATMs
have been reported to debiting customers’ account
without issuing physical cash and being a source of
frustrating queues. These results are similar to those
of reference [47] which report problems with ATMs
in Nigeria to include: ATMs debiting customer’s
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account without issuing physical cash (54.9%), ATM
cards getting trapped in ATMs and taking time to be
recovered (62.1%), ATMs financial fraud (67.6%)
and ATMs service network failure (62.6%). These
findings can also be supported by reference [12] in
Ethiopia which reveals that, large number of people
in the country (2.00 mode) fear to adopt e-banking
system especially the ATMs due to the risks they
posses. These findings are consistent with the
findings of [25] in Oman which indicates that the
technological barriers such as fear of security risks as
the main factor for poor adoption of electronic
banking in the country.
In the case of poor security of mobile networks and
the adoption of mobile banking, problems arise
because mobile transactions in Tanzania use
technologies such as Secure Messaging Service
(SMS), Unstructured Supplementary Services Data
(USSD) and Interactive Voice Response (IVR)
which are all widely deployed over GSM
generations such as 2G (Second Generation), GPRS
(General Packet Radio Services), EDGE (Enhanced
Data Rates for GSM Evolution), UMTS (Universal
Mobile Telecommunications System), 3G (Third
Generation), and LTE (Long Term Evolution)
networks whose initial design was meant for voice
traffic. Mobile network insecurity has been an
obstacle towards adoption of m-baking in Tanzania
because SMS service which is the simplest, cheapest,
available and most common channels is susceptible
to attackers who can read the contents of messages
they intercept, due weaknesses at the SMS Center
(SMSC). These findings are in correspondence with
the findings of [42] in Kenya which reveals the
problem of security over the internet as the hindrance
to mobile money transfer in country. The study also
points out major internet attackers which can lead to
slow adoption of mobile banking to include:
“hackers” who manipulate technologies to gain
unauthorized access to computer networks or diverge
data to unauthorized access, “eavesdropping
/sniffing/ snooping” attacks which have the ability to
monitor network traffic using some kind of network
monitoring software whereby, the sent SMS can be
amended and also “password” attacks which is able
to know the account ID or password of a particular
user and can gain access to the network, gather
information hence be able to modification, delete or
rerouting of network data. Other forms of attacks
posing network insecurity are back doors, Trojan
horses, viruses and worms. Furthermore, these
findings match with the United Nations Conference
on Trade and Development (UNCTAD) report of
year 2012 regarding Mobile Money for Business
Development in the East African which provides that,
data sent via SMS or USSD is vulnerable for
interception if it is not well protected. In this study
mobile network insecurity is the biggest factor
slowing down the growth of mobile banking adoption
and the biggest hurdle in the growth of mobile money
transfer [63].
CONCLUSION AND RECOMMENDATIONS This paper examined the obstacles towards the
adoption of m-banking in Tanzania. It has been
observed poor network coverage (78.6 %), lack of
knowledge of mobile banking users (57.1%), lack of
enough floats, ATMs breakdown and theft (50%),
poor security of mobile network (57.1%), are critical
obstacles towards the adoption of mobile banking in
Tanzania. Therefore, for the successful and quick
adoption of m-banking in the country the government
and responsible institutions should take serious
measure to improve network coverage i.e. telecomm
operators in the country should be ready to expand
from urban centres to the rural areas by connecting
the whole country to the national fiber optic cable.
This will push towards increased use of the mobile
phones and Internet broadband services and
integrated e-payment systems, which will also
simplicity financial transactions such as pay water
bills, electricity, communications and other bills.
Basically, the opening of sea cable for international
high speed Internet connectivity and the expansion of
mobile communication networks to 4G technologies
will open new rooms of business transactions using
payments systems such MasterCard for international
banking and transactions. Financial institutions
should equally work hard to minimize the rate of
network failures since ATMs related fraud can
equally be attributed to it.
To overcome a problem of lack of knowledge of m-
banking users, the responsible stakeholder should
educate customers by giving more details on the
benefits and risks of m-banking. The government and
responsible institutions should train their customers
on how use of mobile devices without regarding their
level of literacy. This could be done through posters,
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seminars and promotion and will educate customers
on understanding the procedures to follow on mobile
transactions activities and even how to secure the
transactions. Mobile banking education should not be
left to mobile money agents or friends because it can
lead to exposing of sensitive information of customer
a situation which bears risk and fear of customers m-
banking adoption
To address the problem of lack of enough floats,
ATMs breakdown and theft, responsible
companies/institutions should provide sufficient
float/cash to mobile money agents. This will reduced
the extent of distance to travel by customers looking
for agents with enough float or running to physical
transactions. For the case of ATMs and theft through
the machines, customers should be educated that the
only security of their ATMs card is the PIN number,
so they should not expose it to any and also be
advised to change the PIN number periodically plus
not to using PIN number like ones’ birthdates,
driving license, or passport. Banks in Tanzania
should strive to install ATMs with complex security
layers, developing technologies for higher levels of
security, such as voice, iris/retina biometrics, which
accurately authenticates users based on their voice
and face.
Responsible companies should deal with poor
security of mobile network by deploying security
technologies such as firewalls and proxy servers
which are both the best remedy to save guard outside
attacks on mobile money transfer transaction.
Mechanisms such as confidentiality of data which is
enhanced through the use of message encryption to
ensure end-to-end security and ensuring that data is
only be accessed by authorized parties should
implemented. Message integrity should ensured by
the use of message digests that are obtained by
hashing message contents prior to being transmitted
across the network. Finally, improvements on some
policies which are guiding m-banking adoption such
as, education, infrastructure and security management
are recommended.
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