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Journal of Internet Banking and
Commerce, August 2006, vol. 11, no.2
(http://www.arraydev.com/commerce/jibc/)
By Ayo Charles. K and Babajide Daniel O. Dept of Computer and Information Sciences, Covenant university, Nigeria.
Ayo Charles. K holds a B.Sc. M.Sc. and Ph.D in Computer
Science. His research interests include: mobile computing, Internet
programming, e-business and government, and object oriented design and
development.
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| The Nigerian economy is largely cash-based with a lot of money residing outside the banking system. To a greater extent, this has hindered the participation of her citizens in e-commerce where e-payment is the acceptable means of settling transactions. This paper reviews the e-readiness of Nigeria as a country; the available payment methods; the motivation and opportunity for e-commerce; and the challenges motivating its wider applications. We propose: a legal framework among the stakeholders and government to guide the operations of the scheme; a public-private-partnership (PPP) initiative to manage the entire system with a view to guaranteeing security, confidence and effective control; and a robust e-payment architecture. Keywords: E-payment, E-commerce, PPP, Credit/Debit
Cards, Fingerprint, PIN, and Security |
| In Nigeria, the modernization
of the payment process started with the introduction of the MICR. This
was followed by the establishment of ATMs for cash dispensing, account
balance enquiry and payment of utility cheques. 2. Statements of Problem
3. Current Efforts of the Nigerian Government
4. Objectives of Study
5. Research Methodology
The Service Providers
Currently, most of the existing 25 banks in Nigeria engage in one form
of e-payment or the other. The variables in the questionnaire include
the name of the payment card; the origin: whether indigenous or foreign;
the denomination of account; means of authentication and security; and
the customer base. In this group are the card producers and the switching
companies. There are four of them consulted. They are e-Tranzact, Interswitch,
Card Technology Ltd, and Charms Ltd. |
| Facility | Distribution |
| Number of PCs | 867,000 |
| Number of Internet Users | 1,769,661 |
| Number of Telephone (Fixed and Mobile) Lines | 22,912,917 |
| Number of Payment Cards | 600,000 |
Discussion
From the above statistics, the level of
facilities and participation is rather low for a country of a population
between 130 and 150 million. There is need for an awareness campaign
to sensitize the populace, while government has the major task of making
available the needed infrastructures for efficient and effective implementation.
6.2 Available Payment Instruments
Out of the available 25 banks in the county,
only 20 of them responded to the administered questionnaire. The banks
that responded included the major IT leaders in the banking industry.
Our findings are as follows:
1. 19 out of 20 banks that responded have a range of e-payment cards.
2. The major payment cards include: MasterCard, ValuCard, Visa card,
ATM card and a number of branded payment cards.
3. 7 banks of the 20 have MarsterCard, which is Dollar denominated and
used mostly for International transactions.
4. However, all of the 20 banks have one or more of the following: ValuCard,
Visa card, MaestroCard, BankCard and ATM card branded after the bank’s
name.
5. The other payment cards besides the MasterCard are mostly Naira (local
currency) denominated to foster local transactions.
6. A 4-digit PIN is used for authentication and authorization.
6.3 Analysis of Research Questions
A total of 500 questionnaires were administered but only389 of them were submitted. 100 of them were in self employment, 200 in private employment and 89 in public employment. Similarly, the distribution of the respondents is 26 (6.7%) from the North, 76 (19.5%) from the South, 10 (2.6%) from the East, 266 (68.4%) from the West and 11 of them abstained from the question. However the number of respondents from the West justifies the area of administration of the questionnaire.
Research Question 1: What is the level of patronage of e-commerce?
Out of the 389 respondents, 82 (21.8%) of them have engaged in online purchase, while 294 (75.6%) have not used the medium. The remaining 13 (3.3%) respondents did not answer the question.
Research Question 2: What are the denominations of E-payment cards?
144 out of 389 responded. 96 (24.7%) are based on local currency, 32 (8.2%) are based on international, while 16 (4.1%) are based on both. 245 of the respondents abstained.
Research Question 3: What is the level of participation in E-commerce in Nigeria?
6 (1.5%) of the respondents rated the level of commerce as very high, 41 (10.5%) rated it as high, 121 (31.1%) rated it as average, while 190 (48.9%) rated it as low. The remaining 31 (8%) respondents abstained.
Research Question 4: What is the level of availability of E-payment cards?
140 (36%) of the respondents possessed a payment card, 240 (61.7%) do not possess one, while 9 (2.3%) did not answer the question.
Generally, the discrepancy between the number of patronage of e-commerce and the number in possession of e-card is traceable to the availability of ATM card, which are not necessarily used for e-commerce transactions.
6.4 Analysis of Research Hypotheses
Research Hypothesis 1
Ho: The nature of business is influenced by the level
of e-commerce and vise versa.
H1: The nature of business is not influenced by the level of e-commerce
and vise versa.
Table 2. Nature of Business * Rate the level of web commerce in Nigeria Crosstabulation
| Rate the level of web commerce in Nigeria | Total | ||||||
| Very High | High | Average | Low | ||||
| Nature of Business | Production | Count | 7 | 28 | 26 | 61 | |
| % within Nature of Business | 11.5% | 45.9% | 42.6% | 100.0% | |||
| % of Total |
2.0% |
7.9% |
7.3% |
17.2% | |||
| Service/ marketing |
Count |
6 | 28 | 83 | 142 | 259 | |
| % within Nature of Business | 2.3% | 10.8% | 32.0% | 54.8% | 100.0% | ||
| % of Total | 1.7% |
7.9% |
23.4% |
40.1% |
73.2% | ||
| Trading | Count | 5 | 9 | 20 | 34 | ||
| % within Nature of Business | 14.7% | 26.5% | 58.8% | 100.0% | |||
| % of Total | 1.4% | 2.5% | 5.6% | 9.6% | |||
| Total | Count | 6 | 40 | 120 | 188 | 354 | |
| % within Nature of Business | 1.7% | 11.3% | 33.9% | 53.1% | 100.0% | ||
| % of Total |
1.7% |
11.3% |
33.9% |
53.1% |
100.0% |
Table 3. Chi-Square Tests
| Value | df | Asymp. Sig. (2-sided) | |
| Pearson Chi-Square | 7.630 | 6 | .266 |
| Likelihood Ratio | 9.022 | 6 | .172 |
| Linear-by-Linear Association | .772 | 1 | .380 |
| N of Valid Cases | 354 |
Table value at 95% Significant Level is given as 12.59
Calculated value is 7.63
Since the calculated value is less than the table value, then we accept the null hypothesis (Ho). Therefore, the nature of business is influenced by the level of e-commerce.
Research Hypothesis 2
Ho: The level of e-commerce is positively influenced
by the denomination of the e-cards.
H1: The level of e-commerce is negatively influenced by the denomination
of the e-cards.
Table 4. What is the denomination of the card? * Rate the level of web commerce in Nigeria Crosstabulation
| Rate the level of web commerce in Nigeria | Total | ||||||
| Very High | High | Average | Low | ||||
| What is the denomination of the card? | Local Currency | Count | 4 | 16 | 28 | 48 | 96 |
| % within What is the denomination of the card? | 4.2% | 16.7% | 29.2% | 50.0% | 100.0% | ||
| % of Total | 2.8% | 11.1% | 19.4% | 33.3% | 66.7% | ||
| International | Count | 3 | 13 | 16 | 32 | ||
| % within What is the denomination of the card? | 9.4% | 40.6% | 50.0% | 100.0% | |||
| % of Total | 2.1% | 9.0% | 11.1% | 22.2% | |||
| Both | Count | 1 | 4 | 9 | 2 | 16 | |
| % within What is the denomination of the card? | 6.3% | 25.0% | 56.3% | 12.5% | 100.0% | ||
| % of Total | 0.7% | 2.8% | 6.3% | 1.4% | 11.1% | ||
| Total | Count | 5 | 23 | 50 | 66 | 144 | |
| % within What is the denomination of the card? | 3.5% | 16.0% | 34.7% | 45.8% | 100.0% | ||
| % of Total | 3.5% | 16.0% | 34.7% | 45.8% | 100.0% |
Table 5. Chi-Square Tests
| Value | df | Asymp. Sig. (2-sided) | |
| Pearson Chi-Square | 10.991 | 6 | .089 |
| Likelihood Ratio | 13.326 | 6 | .038 |
| Linear-by-Linear Association | 1.950 | 1 | .163 |
| N of Valid Cases | 144 |
Table value at 95% Significant Level is given as 12.59
Calculated value is 10.99
The calculated value is less than the table value, therefore, we accept the null hypothesis (Ho). Therefore, the level of e-commerce is positively influenced by the denomination of the e-cards.
Fig. 1 : Secure Payment Architecture
The activities labeled A to F are described as follow:
A: The Customer indicates intention
to procure goods/services. The Merchant requests for personal and payment
card information.
B: The Merchant embarks on Customer’s identity authentication
and credit worthiness.
C: The identity of the Customer is verified and authenticated.
D: The identity of the client is further clarified with NDB.
E: The amount of money is set aside, and the acquirer advises
the Merchant to proceed with the transaction.
F: Stakeholders (designated government officials, Card manufacturers,
Banks, IT firms, Security agent) manages and controls the activities
of the system. They regulate and formulate policies as may be deemed
fit.
The architecture is people oriented as stakeholders are place at the centre of the design as proposed by Singh (1996). However the design does not agree with the demand of the government of Nigeria to appoint a central switching system to be operated by NIBSS. The stakeholders prefer having the system managed by a consortium of operators rather than being managed by government.
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