M banking

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A Market Research on Consumer awareness and usage of MOBILE BANKING

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M banking

  1. 1. A Market Research onConsumer awareness andusage of MOBILE BANKING BY GROUP - 14
  2. 2. M - BankingMobile banking - used for performing balancechecks, account transactions, payments, creditapplications and other banking transactionsthrough a mobile deviceApples success with iPhone and the rapidgrowth of phones basedon Googles Android have led to an increaseduse of special client programs, calledapps, downloaded to the mobile device.
  3. 3. Change in the Telecom Sector  Mobile subscribers reaching an 800 million mark. Trends in  Of total population of 1210 million, approx 295 million is Urban population.the Telecom Industry  Out of that only 43 million are mobile banking users.  Wireless Subscribers to reach 893 million by 2012/13
  4. 4. MethodologyUniverse of the Study• Urban Mobile users in India• Assumption – Internet Access in all mobile phonesLocale of the Study• Urban Mobile users having bank accountsSample of the Study• Convenient sampling – friends and relatives• Respondents were approached through a questionnaire• 48 people responded from Delhi
  5. 5. Description of the Sample Age Group Bank Account 26 2 25 25 23 24 Yes 25 23 46 No 23 22 19-25 26-35 Gender Occupation 25 22 20 20 10 15 Male 10 6 38 Female 5 0 0 Public Sector Private Sector Self Employed Student
  6. 6. Description of the SampleHave a Mobile Phone Mobile Internet Service 1 9 Yes Yes No No 47 39 M-Banking Service 13 Yes 35 No
  7. 7. Reasons for Not Using M-Banking Service 35 30 25 20 15 10 Preference 7 Preference 6 5 Preference 5 0 Preference 4 Preference 3 Preference 2 Preference 1
  8. 8. Population with Bank AccountAccording to statistics, 70 % of urbanpopulation has bank accounts. 4% Have Bank Account No Bank Account 96%
  9. 9. Hypothesis: Population with BankAccount p = 0.70 (70 % of urban population has bank accounts.) 1.04 (1 being yesMean and 2 being no) n = 48, þ^ =0.96Variance 0.04Standard α = 0.05 0.20Deviation H₀: þ = 0.70 ; Ha: þ > 0.70 (single tail) Z from table = 1.645 Z observed value = 3.9
  10. 10. Rejection RegionNon - Rejection Region 3.9
  11. 11. Minitab output Test of p = 0.7 vs p > 0.7 95% Lower Exact Sample X N Sample p Bound P-Value 1 46 48 0.958333 0.874586 0.000Therefore we reject the null hypotheses. Percentage ofurban population having bank account is more than70%.
  12. 12. Population using M-BankingAccording to statistics, 43 million out of 310million urban population use mobile banking i.e.15% Use Mobile Banking 27% Do not Use M-Banking 73%
  13. 13. Hypothesis: Population using M-Banking p = 0.15 1.729167 (1 being yes Mean and 2 being no) n =48, þ^ = 0.27Standard 0.449093 α = 0.05Deviation H₀: þ = 0.15, Ha: þ ≠ 0.15 (double tail)Sample 0.201684Variance Z from table = 1.96 Z observed value is 2.32
  14. 14. Rejection Region Rejection Region Non - Rejection Region 2.32
  15. 15. Minitab outputTest and CI for One ProportionTest of p = 0.15 vs p not = 0.15 ExactSample X N Sample p 95% CI P-Value1 13 48 0.270833 (0.152782, 0.418456) 0.040 Here we see that population proportion is very close to the confidence interval starting from .152. therefore we do not reject the null hypothesis.
  16. 16. Female Population using M-BankingAccording to statistics, 15 % of 43 million activemobile banking urban population is female. 20% Use M-Banking Do Not Use M- Banking 80%
  17. 17. Hypothesis: Female Population using M-Bankingp = 0.15n =10, þ^ = 0.20α = 0.05H₀: þ = 0.15; Ha: þ ≠ 0.15 (double tail)Z from table = 1.96Z observed value is 0.44
  18. 18. Rejection Region Rejection Region Non - Rejection Region 0.44
  19. 19. Minitab outputTest and CI for One ProportionTest of p = 0.15 vs p not = 0.15 ExactSample X N Sample p 95% CI P-Value1 2 10 0.200000 (0.025211, 0.556095) 1.000Therefore we do reject the null hypotheses.Percentage of urban population having bankaccount and is female is 15%.
  20. 20. Primary ServiceAccording to statistics, 90% of 43 million activemobile banking urban population primarily use it tocheck their account balance. 21% Use Mobile Banking Do Not Mobile Banking 79%
  21. 21. Hypothesis: Primary Servicep = 0.90n =48, þ^ = 0.85α = 0.05H₀: þ = 0.90, Ha: þ ≠ 0.90 (double tail)Z from table = 1.96Z observed value is -1.155
  22. 22. Rejection Region Rejection Region Non - Rejection Region -1.155
  23. 23. Minitab outputTest and CI for One ProportionTest of p = 0.9 vs p not = 0.9 ExactSample X N Sample p 95% CI P-Value1 41 48 0.854167 (0.722362, 0.939296) 0.329Therefore we do not reject the null hypotheses.90% of urban mobile banking users use it to checktheir account balance.
  24. 24. Two Sample TestWe conducted a separate survey on usage of mobilebanking primarily from people in Chandigarh. We got33 responses with following results. 21% Use Mobile Banking Do Not Mobile Banking 79%
  25. 25. Hypothesis: Two Sample TestH₀: þ1 – p2 = 0; Ha: þ1 – p2 ≠ 0 n 33(Double tail) n 1 48 2 X 1 13 X 2 7α = 0.05 7 ˆ p 13 .27 ˆ p 2 33 .21 1 48Z from table = 1.96 ˆ ˆ p p 1 2 P P 1 2 Z P X X 1 2 P Q 1 1 n n 1 2 n n 1 2 12.96 6.93 .27 .21 0 48 33 1 1 .245 .754 .245 48 33 0.61
  26. 26. Two Sample TestTest and CI for Two ProportionsSample X N Sample p1 13 48 0.2708332 7 33 0.212121Difference = p (1) - p (2)Estimate for difference: 0.058712195% CI for difference: (-0.129063, 0.246487)Test for difference = 0 (vs not = 0): Z = 0.61 P- Value = 0.540 As p value is greater than α = 0.05 therefore do not reject the null hypothesis. Both the samples satisfy the null hypothesis.
  27. 27. Confidence Interval to EstimateP1 - P2 ˆˆ ˆˆ pq p q ˆˆ ˆˆ pq p q ˆ ˆ p p Z 1 1 ˆ ˆ P P p p 2 2 1 2 Z 1 1 2 2 1 2 n n 1 2 1 2 n n 1 2 0.126 P P 1 2 0.245 We get: Which is same as given by Minitab Solution i.e. 95% CI for difference: (-0.129063, 0.246487)
  28. 28. Limitations of the studyDrawing descriptive or inferential conclusions from sample data abouta larger group.The study has limitation as the data were collected only form urbancustomers so the results cannot be generalized to pan India population.The data has mainly been collected from respondents from age groupsof 19 to 35 years and cannot be generalised for whole population.Responses did not cover all banks providing the survey which mayresult in not revealing the true picture.
  29. 29. Further Scope of the studyThe sample size could be increased to give more accurate results.A cross-regional research could be done to cover Pan Indiawhich would help in achieving a better picture.Data from all age groups can be collected.Data covering all banks providing the service can be included inthe research.In depth analysis can be done by including more parameters inresearch earlier constrained due to time limitation.
  30. 30. Thank you

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