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SPEECH RECOGNITION TECHNOLOGY ENABLED MOBILE PHONE & VAS IN INDIAN MARKET PERSPECTIVE  A Presentation by: Sumeet Rauniyar Summer Trainee – Siemens Information Systems Limited. Pursuing MBA from Graduate School of Business & Administration, Greater Noida
PRESENTATION FLOW Objective of the topic. Research methodology adopted Mobile owner vs. Non mobile respondents, their demographic comparison. Effect of age, education & income on mobile ownership. Emerging prospects SRT enabled device and SRT-VAS tentative expenses. SRT enabled device & SRT-VAS ratings and its impact on decision making. Conclusion and recommendations.
To study and analyze Indian mobile & VAS market especially in rural area. To know about the mobile interface and knowledge of the rural as well as semi-rural Indian population. To study how the SRT device & VAS will help Indian mass in making mobile interface easier for them. Can SRT enabled device be tool to induce non-mobile rural Indian having less or no interface with mobile device. OBJECTIVE OF THE TOPIC
RESEARCH   METHODOLOGY ADOPTED ,[object Object]
Sample to be collected from rural areas.
Direct interaction with rural population either own mobile or not.
Sample Size -200
Data under consideration of this study-190
Sample having mobile-91
Sample not having mobile-99
District Visited for data collection- Bulandshahar-Khurja, Varanasi and Azamgarh (12 villages in all),[object Object]
MOBILE OWNER VS.NON-MOBILE SAMPLE A DETAILED PROFILING OF BOTH TYPE OF SAMPLES
AGE DISTRIBUTION MOBILE OWNER (48%) NON-MOBILE (52%) ,[object Object]
20% are above 35 year age.
The mean age is 28 year.
58% lie between 16-35 age group.
42% non-mobile respondents are above 35 year age.
Mean age is 35 year,[object Object]
16% mobile holder has income above INR 5000.
Mean income of whole sample is INR 3600
38% non-mobile population has income below INR 2000.
Only 11% non-mobile respondent has income above INR 5000.
Mean income of whole sample is INR 2600 ,[object Object]
Rest 52% is of Shopkeeper/Servicemen/Student.
51% sample is of Farmer/Labor/Housewife/Unemployed.
Rest 49% is of Shopkeeper/Servicemen/Student.,[object Object]
37% have education equal or above Intermediate.
11% is illiterate or only knows to sign.
Majority of sample (45%) have education between 6-10th.
Only 20% have education above Intermediate or above.

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Speech Recognition Technology Enabled Mobile Phone In Indian Summaryardubey

  • 1.
  • 2. SPEECH RECOGNITION TECHNOLOGY ENABLED MOBILE PHONE & VAS IN INDIAN MARKET PERSPECTIVE A Presentation by: Sumeet Rauniyar Summer Trainee – Siemens Information Systems Limited. Pursuing MBA from Graduate School of Business & Administration, Greater Noida
  • 3. PRESENTATION FLOW Objective of the topic. Research methodology adopted Mobile owner vs. Non mobile respondents, their demographic comparison. Effect of age, education & income on mobile ownership. Emerging prospects SRT enabled device and SRT-VAS tentative expenses. SRT enabled device & SRT-VAS ratings and its impact on decision making. Conclusion and recommendations.
  • 4. To study and analyze Indian mobile & VAS market especially in rural area. To know about the mobile interface and knowledge of the rural as well as semi-rural Indian population. To study how the SRT device & VAS will help Indian mass in making mobile interface easier for them. Can SRT enabled device be tool to induce non-mobile rural Indian having less or no interface with mobile device. OBJECTIVE OF THE TOPIC
  • 5.
  • 6. Sample to be collected from rural areas.
  • 7. Direct interaction with rural population either own mobile or not.
  • 9. Data under consideration of this study-190
  • 11. Sample not having mobile-99
  • 12.
  • 13. MOBILE OWNER VS.NON-MOBILE SAMPLE A DETAILED PROFILING OF BOTH TYPE OF SAMPLES
  • 14.
  • 15. 20% are above 35 year age.
  • 16. The mean age is 28 year.
  • 17. 58% lie between 16-35 age group.
  • 18. 42% non-mobile respondents are above 35 year age.
  • 19.
  • 20. 16% mobile holder has income above INR 5000.
  • 21. Mean income of whole sample is INR 3600
  • 22. 38% non-mobile population has income below INR 2000.
  • 23. Only 11% non-mobile respondent has income above INR 5000.
  • 24.
  • 25. Rest 52% is of Shopkeeper/Servicemen/Student.
  • 26. 51% sample is of Farmer/Labor/Housewife/Unemployed.
  • 27.
  • 28. 37% have education equal or above Intermediate.
  • 29. 11% is illiterate or only knows to sign.
  • 30. Majority of sample (45%) have education between 6-10th.
  • 31. Only 20% have education above Intermediate or above.
  • 32.
  • 33. Only 29% spend less than INR 100.
  • 34. 22% spend between INR 101-200.
  • 35.
  • 36. Only 20% spend above INR 200.
  • 37. Average amount spend by non-mobile is INR 135 per month. 
  • 38. EFFECT OF AGE, INCOME & EDUCATION ON MOBILE OWNERSHIP: EMERGING PROSPECTS AND RECOMMENDATIONS
  • 39.
  • 40. Even respondents having income of INR 1500 have 35% mobile penetration, this is due to 69% share of respondents below/equal 28 year of age.(Red line)
  • 41.
  • 42. Between age 20-30 year the respondents having education below high school is above 50% but penetration is high, so they may be potential target segment.
  • 43.
  • 44. Most of respondents having education above 6th are below 28 year (above 59%), the target segment 20-30 age group are educated too.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53.
  • 54. Education too plays important role in new mobile technology acceptance.
  • 55. Since the tentative price quoted by the respondents are speculative, so alone we can’t bank on them.
  • 56. The rural population who still doesn’t own mobile are highly price-sensitive, so to enable them with mobile is tough task.
  • 57.
  • 58. EXPECTATION OF RURAL POPULATION: Lost mobile security even after mobile switched off/SIM destroyed. Need water proof set as most of them commute by bicycle, on foot and motorcycle for their work. To track the location of the person on the other side. Customized information through SRT-VAS i.e. educational material & trade price of commodities they are dealing. Information provided on SRT-VAS should be regional as well as genuine too, to build goodwill in rural mass. Battery back-up, so that dependency on electricity should decrease.
  • 59. THANK YOU FOR YOUR ATTENTION !! Yours valuable suggestions & Questions