Data Technology and the Business Communities: A Case Examine of Small-scale Business Enterprises in Nigeria

Introduction

Because of to globalization of the economic system, unexpected emergency of data technology, growth of the Internet and other interaction community, developing variety of small business transactions and greater level of competition, businesses are transforming the way they converse with new procedures that sharpen small business effectiveness. The Internet is turning into the basis for new small business versions, method and new methods of knowledge distribution (Laudon K.C and J.P. Laudon, 2000).

                Small-scale enterprises now use the Internet and networking technology to carry out more of their do the job electronically, trustworthy linking factories, offices and profits forces around the globe (Dave C. 2000). This interaction evolution is ruled by applied infrastructures with converged companies and integrated application (Lucas H.C and B. Jack, 1994). The convergence of data technology is an critical pattern influencing equally existing and future marketplaces, sector and technology (James, A.O, 2004). Firms these as the shops, financial institutions and institution interviewed, are extending these networks to suppliers, prospects and other groups exterior the organization to allow them answer instantaneously to purchaser requires and industry shifts.

Definitely, data technology is bringing about variations in organization that make corporations even more dependent than in the past when it depends exclusively on the knowledge, understanding and choice earning of individual employees. Moreover, purchaser services, procedure, items and advertising and marketing approaches, and distribution are closely dependent on data technology (Mind K and C. Stacey, 2001).

This research do the job examines the influence of data technology on the economics of little-scale small business enterprises. This is to verify the stage at which data technology has remodeled small business procedures for specific and programs efficient small business management, crime amount reduction, occupation generation and enhanced security of data techniques. This will aid make available the proper sort of data at the proper time location for optimum utilization of available methods to greatly enhance the quality of everyday living in the human society.

Material and Technique: In the review, a statistical approach was adopted. Responses from the various small business/institutions shops, factories, eatery, marketplaces, financial institutions, fuel station, bakery, educational institutions, cyber cafe, hospital, poultry, boutique, salon, telephone contact facilities, guest properties and activity facilities by way of the questionnaire in some picked towns in Nigeria for over eleven months in 2008 have been technically examined and summary drawn in line with the hypothesis formulated.

Theoretical History

The willpower of data theory came into concentrate with Claude E. Shannon’s classical paper, “A mathematical theory of interaction” in 1948. This theory offers with the total of data and does not deal with the that means of data. Equally, the theory unsuccessful to provide vital aid in the design of an data method. As a end result, the initial fascination on data theory declined. Nevertheless, the willpower starts off to achieve popular acceptance only in the past couple several years. This is attributed to the fact that data technology now delivers the assist vital to build an data method that serves very best for some specific and application (David M.K, 1992).

                Data technology, as described by the Data Technology Affiliation of The united states (ITAA), is the review, design, development, implementation, assist or management of computer dependent data techniques, specifically software program programs and computer components. Basically, data technology offers with the use of electronic desktops and computer software program to transform, retailer, safeguard, method, transmit and securely retrieve data. Illustrations of data technology include individual electronic assistant, individual desktops, telephones, televisions etc (Mind K.C and C.S. Stacey, 2001).

                Currently, the conditions data technology has ballooned to encompass many facets of computing and technology, and the term is more recognizable than ever just before. The stop goal is to make the successful and efficient use of data to solve uncertainly and greatly enhance productivity at every single stage individual, society and government (Charlse W.L.H, 2001). On this theoretical background is the hypothesis formulated.

                Hypothesis: Two styles of hypothesis have been formulated in this review Null hypothesis (Ho) and Alternatively hypothesis (H1).

Null Hypothesis: Data Technology does not have constructive influence on little-scale small business business.

Alternatively hypothesis: Data technology has constructive influence on little-scale small business enterprises.

Choice Rule: When the noticed chi-square (X2) is better than the essential chi-square (X2) from tables of chi-square, Hello is accepted and Ho is rejected and vice versa. This choice is equivalent to (Salami A and A.O. Usman, 2008).

Facts Investigation and Interpretation of Final results

The knowledge from this research have been analyzed and final results interpreted in line with the research issues

Investigate Issue one: Does the Introduction of Data Technology have influence on little-scale small business enterprises?

Table one: Impression of Data Technology on Business Growth and Money Circulation

S/N

Items

Strongly

Agree

Agree

Disagree

Strongly

Disagree

Row

Total

one.

Data technology has enhanced the regular of little-scale small business business

120

(73)

ninety two

(seventy two)

28

(48)

sixteen

(sixty two)

256

2.

Just about every device of a small business has benefited from Data Engineering

70

(fifty five)

80

(53)

17

(36)

23

(46)

one hundred ninety

3.

Data Technology is of no constructive Impression to little-scale small business enterprises

12

(80)

fifteen

(seventy nine)

103

(53)

one hundred fifty

(sixty eight)

280

four.

Data Technology has captivated more prospects to all small business enterprises

65

(42)

sixty seven

(41)

10

(28)

5

(36)

147

5.

Data Technology is intended for more substantial scale small business enterprises and not for little-scale small business enterprises.

20

(36)

27

(36)

thirty

(24)

fifty

(31)

127

Column Total

287

281

188

244

one thousand

*Noticed X2 = 463.3, essential X2 = 21.026, µ =.05, df =12.

From Table one, the expected frequencies in brackets are calculated applying the method (Egbule J.F and D.O. Okobia, 2007).

               

E  =  Row overall x column overall ————————– (one)

                     Grand Total

The place, E = expected Frequency and Grand Total = one thousand

ROW I

For noticed frequency = 126, applying equation (one)

For noticed frequency = ninety two,

For noticed frequency  = 28,

For noticed frequency = sixteen,

ROW II

For noticed frequency = 70,

For noticed frequency  = 80,

For noticed frequency = 17,

For noticed frequency = 23,

ROW III

For noticed frequency = 12,

For noticed frequency = fifteen,

For noticed frequency = 103,

For noticed frequency = one hundred fifty,

ROW IV

For noticed frequency = 65,

For noticed frequency = sixty seven,

For noticed frequency = 10,

For noticed frequency = 5,

ROW V

For noticed frequency = 20,

For noticed frequency = 27,

For noticed frequency = thirty,

For noticed frequency = fifty,

Making use of the chi-square (X2) statistic as presented in (Omorogiuwa, 2006)

……………………………..(2)

The place, O = noticed frequency and

                 E = expected frequency

By substituting into equation (2) previously mentioned

The degree of flexibility is offered by

df = (r-one) (c –1) …………………………….(3)

The place,                   r = Range of Rows and

                                 c = Range of Columns

From desk one, r = 5, and c = four. df = (5-one) (four-one) = 12

Crucial value of chi-square X2 = 21.026 (from tables) at a testing value µ = .05

These final results displays that the noticed chi-square X2=463.2 (from calculation), is better than the essential value of chi-square X2=21.026 (from tables), at a testing value of µ =.05 and degree of flexibility df = 12. This implies a important relationship and it implies that data technology has a constructive influence on small business growth and commonly increases earnings movement.

Investigate Issue 2: Does the introduction of Data Technology in little-scale

         small business enterprises provide more occupation prospects for  

                                      unemployed Nigerians?

Table 2: Task prospects applying Data Engineering

S/N

Items

Strongly

Agree

Agree

Disagree

Strongly

Disagree

Row

Total

one.

Data technology has presented a supply of earnings to many youthful college leavers

201

(149)

152

(119)

35

(seventy eight)

29

(seventy seven)

417

2.

Data Technology provide holiday seasons careers for many learners

116

(107)

101

(86)

39

(52)

44

(fifty six)

300

3.

Drastic Reduction of mass unemployment due to the fact the application of Data technology in small business.

forty

(101)

33

(81)

98

(forty nine)

112

(52)

283

Column Total

357

286

172

185

one thousand

*Noticed chi-square X2 = 273.six, essential X2=12.592, df = six, µ = .05.

 

                The final results of desk 2, present that Null hypothesis (Ho) is rejected and alternatively hypothesis (Hello) is accepted. The noticed value of chi-square X2 equal 273.six (from calculation not demonstrated for comfort), is better than the essential value of chi-square X2 = 12.592 (from tables), at a degree of flexibility df = six, applying a testing value µ= .05. This implies a important relationship implying that the introduction of data technology in small business delivers more occupation vacancies for unemployed Nigerians.

Investigate Issue 3: Of what relative influence is the introduction of Data

  Technology in efficient small business management?

Table 3: Data Technology in efficient small business management

S/N

Items

Strongly

Agree

Agree

Disagree

Strongly

Disagree

Row

Total

one.

Data technology greatly enhance proper setting up and execution of small business approaches

102

(ninety)

ninety six

(ninety two)

17

(28)

thirty

(35)

245

2.

Data technology aids to boost on the competencies of small business-adult men

ninety

(71)

ninety

(seventy two)

six

(22)

7

(28)

193

3.

Business-adult men are now more time aware with the arrival of data technological innovation

seventy eight

(74)

87

(75)

fifteen

(23)

21

(29)

201

four.

Data Technology discourages unwarranted journey.

ninety seven

(132)

102

(135)

76

(41)

86

(52)

361

Column Total

367

375

114

144

one thousand

*Noticed chi-square X2 = 120.four, essential X2 = sixteen.919, df = 9, µ = .05

                The final results present that the null hypothesis (Ho) is rejected when the alternatively hypothesis (H1) is accepted. The noticed chi-square X2 = 120.four is better than the essential value of chi-square X2 = sixteen.919 [from tables], at a degree of flexibility df = 9, applying a testing value of µ = .05. This implies a important relationship, which implies that the introduction of data technology aids in efficient small business management.

Investigate Issue four: Has the introduction of data technology minimized the amount of

 Fraudulent activities in small business?

Table four: Data technology to fight small business fraud

S/N

Items

Strongly

Agree

Agree

Disagree

Strongly

Disagree

Row

Total

one.

Data technology is a weapon for combating fraudulent activities in small business

76

(58)

ninety

(54)

18

(42)

twenty five

(fifty five)

209

2.

Data technology encourages dishonesty in small business

39

(seventy eight)

forty five

(seventy two)

17

(fifty seven)

112

(75)

283

3.

Only the wealthy can correctly make the most of data technology to fight crime

twenty five

(66)

32

(61)

86

(forty nine)

ninety seven

(64)

240

four.

The use of data technology support in reporting fraudsters to legislation enforcement agencies

136

(74)

89

(69)

12

(54)

31

(71)

268

Column Total

276

256

203

265

one thousand

*Noticed chi-square X2 = 320.5, essential chi-square X2 =sixteen.919. df = 9 µ = .05

The final results present that alternatively hypothesis (H1) is accepted and the Null hypothesis is rejected. The noticed chi-square (x2=320.5) is better than the essential value of chi-square (x2 = sixteen.919 from tables) at a degree of flexibility df = sixteen applying µ = .05. This implies a important relationship, which implies that data technology has minimized the amount of fraudulent activities in small business.

Discussion

The conclusions of this review provide beneficial solutions to the research issues. On the influence of data technology methods on small business growth, common earnings movement and occupation generation, final results of the review present that a the greater part of little-scale enterprises have immensely benefited in these locations. It was clear that some of the respondents have interaction in retailing of GSM supplies and other data technology methods, along with their goods and companies. This invariably, contributes to small business growth, common movement of earnings and provision of careers for the unemployed.

                On the influence of data technology on small business and efficient time management, some respondents commonly agreed as found in Tables one to four applying the option hypothesis approach that it was constructive. Nevertheless, it was learned that inspite of the use of data technology for small business promotions, most small business adult men continue to deficiency effectiveness in services supply. This may possibly be attributed to weak small business competencies or inadequate background. It is consequently not astonishing that constructive variations in small business management are continue to not realized. Nevertheless, it could be hoped that fashionable data technology will aid to sharpen the perception of small business and time management competencies.

Conclusion and Advice

In summary, data technology has enhanced little-scale small business enterprises in Nigeria. In order to consolidate on the current stage of accomplishment of data technology in small business, considerably more improvement need to be welcomed. These include improvement in the stage of data technology companies rendered to small business enterprises, large coverage (in particular in the rural locations), reduction in tariff and much better connectivity.

In line with the research conclusions, it is advisable that data technology services suppliers must intensify effort to make utmost use of the superior penetration by small business enterprises. This invariably, will aid to enlighten the populace on the advantages attached to the programs of data technology.

                The tariff of all the services suppliers is also superior. For that reason, this reduces the variety of end users that go online for Internet advertising and marketing. In order to reverse this pattern, it is advisable that the cost deducted by the services suppliers must be minimized to persuade more little-scale small business enterprises in Nigeria.

References

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Charlse W.L.H (2001): World-wide Business, 2nd Edition McGraw Hill Firms, New York. Pp one hundred-132

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David M. K (1992) Management Data Methods, 2nd Edition, Mc Develop Hill businesses inc, Usa.

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