Impect of 3 g services in life of common people

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Impect of 3 g services in life of common people

  1. 1. A Research Report Subject Code: 536221(76) On “IMPECT OF 3G SERVICES IN LIFE OF COMMON PEOPLE” Submitted for partial fulfillment of requirement for the award of degree Of Master of Business Administration Of CHHATTISGARH SWAMI VIVEKANAND TECHNICAL UNIVERSTY BHILAI (C.G.) Session 2012-14 Supervision By: Submitted by: Prof. Gazala Y. Ashraf Deepesh kumar rathore Asst. Prof. Roll No.5057612014 Department of Management MBA- II -Semester Section – A FACULTY OF MANAGEMENT DISHA INSTITUTE OF MANAGEMENT AND TECHNOLOGY (Disha Education Society) Satya Vihar, Vidhansabha-Chandrakhuri Marg, Mandir Hasaud, Raipur (C.G.) 492007
  2. 2. 2 DECLARATION I, the undersigned solemnly declare that the report of the research work entitled “IMPECT OF 3G SERVICES IN LIFE OF COMMON PEOPLE” is based on my own work carried out during the course of my Study under the supervision of PROF.GAZALA YASMIN ASHRAF. I assert that the statements made and conclusions drawn are an outcome of my research work. I further declare that to the best of my knowledge and belief the report does not contain any part of any work which has been submitted for the award of any other degree/ diploma/ certificate in this University. …………………………… (Signature of the candidate) DEEPESH KUMAR RATHORE Roll No.: 5057612014
  3. 3. 3 CERTIFICATE BY GUIDE This to certify that the report of the project submitted is the outcome of the research work entitled “IMPECT OF 3G SERVICES IN LIFE OF COMMON PEOPLE” carried out by DEEPESH KUMAR RATHORE bearing Roll No.:5057612014 & Enrollment No.:AK5393 carried by under my guidance and supervision for the award of Degree in Master of Business Administration of Chhattisgarh Swami Vivekananda Technical University, Bhilai (C.G), India. To the best of the my knowledge the report i) Embodies the work of the candidate him/herself, ii) Has duly been completed, iii) Fulfils the requirement of the ordinance relating to the MBA degree of the University and iv) Is up to the desired standard for the purpose of which is submitted. _____________________ (Signature of the Guide) Prof. Gazala Y. Ashraf Faculty of Management DISHA INSTITUTE OF MANAGEMENT AND TECHNOLOGY Satya Vihar, Vidhansabha-Chandrakhuri Marg, Mandir Hasaud, Raipur (C.G.) 492007 The research report as mentioned above is hereby being recommended and forwarded for examination and evaluation.
  4. 4. 4 CERTIFICATE BY THE EXAMINERS This is to certify that the research entitled “IMPECT OF 3G SERVICES IN LIFE OF COMMON PEOPLE” Carried out by Deepesh kumar rathore Roll No.:5057612014 Enrollment No.:AK5393. Has been examined by the undersigned as apart of the examination for the award of Master of Business Administration degree of Chhattisgarh Swami Vivekananda Technical University, Bhilai (C.G). ………………......... ……………………... ...………………….. ……………………… Name & Signature of Name & Signature of Internal Examiner External Examiner Date:………………. Date:……………….. Forwarded by Dean Faculty of Management
  5. 5. 5 ACKNOWLEDGEMENT The success and final outcome of this project required a lot of guidance and assistance from many people and I am extremely fortunate to have got this all along the completion of my project work. Whatever I have done is only due to such guidance and assistance and I would not forget to thank them.I respect and thank Prof. Gazala Y. Ashraf., for giving me an opportunity to do the project work in impact of 3G services and providing us all support and guidance which made me complete the project on time. I am extremely grateful to her for providing such a nice support and guidance though she had busy schedule. I would not forget to remember Prof. Suresh Pattanayak, Prof. Rupesh Kr. Tiwari and all faculty members for their unlisted encouragement and more over for their timely support and guidance till the completion of our project work. I heartily thank our internal project guide, Dr.R.S.Mohan, Dean , Department of Management, for his guidance and suggestions during this project work. I am extremely thankful to all those persons who have positively helped me and customers who respond my questionnaire, around whom the whole project cycle revolves. Name: Deepesh kumar rathore Roll.No.: 5057612014 MBA 2nd Semester Section-A
  6. 6. 6 Preface This report presents the research, findings and recommendations resulting from the research, “impact of 3G services in life of common people”, supported by Prof. Gazala Y. Ashraph and authored by the Dean. The objective was to compile and synthesize information on the status of Consumer perception. In so doing, it lays the foundation for the development of 3G. services management decision support system that will facilitate scientifically sound decision making. The involvement in this project reflects its long-term interest in 3Gservices activities consistent with its mandate to “promote the orderly, integrated and comprehensive development, use and conservation of the 3Gservices. This report has benefitted from the significant input and collaboration of numerous partners that comprised a Project Management Team (PMT). The findings and recommendations of this report address data and information gaps and needs, and provide valuable information for guiding the next steps in the process of developing a decision support system. This report, and the project‟s many associated components, provides a wealth of information about the 3G services and there resources and associated policies of all 3G company‟s
  7. 7. 7 INDEX S.NO TITLE PAGE NO. 1. Introduction to the Topic 8-11 2. Literature review 12-14 3. Research Methodology 15-18 4. Data Analysis and Interpretation 19-35 5. Findings 36-37 6. Suggestions 38-39 7. Conclusion 40-41 8. Limitation 42-43 9. Bibliography 44-45 10 Questionnaire 46-47
  8. 8. 8 Chapter – I INTRODUCTION
  9. 9. 9 1. Introduction About 10 years mobile data services have been waited to soar and become a huge, life changing industry, but technology Maturity, capacity, service availability and usability problems have moved the prospects further and further, time after another. This paper investigates the current technical and market parameters relating to wideband and broadband mobile data Service diffusion in the European context. According to the general theory of technological innovation, diffusion will follow an S-shaped adoption curve. The adoption starts slowly, and then rises quickly as more and more users adopt the innovation, and finally levels off (Rogers, 1995). Diffusion model of Bass is very commonly used (Bass, 1969). There different country specific characteristics, like GDP, educational level and e.g., competitive or regulatory conditions, introduce different values for the diffusion parameters (Dekimpeet al., 2000; Gruber and Verb oven, 2001). Especially concerning communication related innovations, the network externalities have been considered important (Gurbaxani, 1990). General diffusion modeling has mostly concentrated on the user behavior, macro-economic and policy aspects, but business actors and modeling their decision-making in the micro- economical level has not been focused in the analyses (e.g., Frank, 2004). Some studies, however, combine various aspects, discussing different stakeholders that contribute to the diffusion process (Saugstrup and Henten, 2006). In this study, we suggest that a crucial hindrance for the mobile data service usage lies in the technology or service bottle necks, and that it is possible to accelerate the service adoption through provisioning of better user experience through enhanced technologies and applications. The other factor is price. These are seen to be the reasons for voice and plain SMS being still the only services adopted by majority of the mobile phone users. We have quantified these factors by end-user modeling, described in Section 2. Our methodology here is based on explicit technology and service parameters, not on before mentioned general diffusion models or externalities. The approach in end-user modeling is bottom-up type, looking at specific service aspects, rather than the traditional top-down approach, where generic trends are fitted for particular diffusion problem. It is clear that the task is challenging and more investigation and empirical corroboration is needed to confirm the accuracy of the approach. The mobile user base is already almost 100% in the investigated market, but the dilemma of mobile data service provisioning and usage is still acute, and the visions widely held in the beginning of the third
  10. 10. 10 millennium have not realized. However, we continue to argue that the new high capacity mobile technologies not only affect the service diffusion through better user experience, but also make it economically possible and even optimal for the operators to migrate to certain type of flat rate pricing models. This is fuelling the usage and diffusion in its own right, generating the virtuous circle, where also growing network of service developers and providers are attracted into the market. Even the end-user is harnessed into developer and provider, leading to completely new business models. To estimate the occurrence of the service diffusion break through, our primary focus is on the main business actors, because we see their decisions as critical for the diffusion process. But of course their success is dependent on their ability to serve the customers or end- users and benefit them. As the regulator is trying to optimize this play of operators, businesses and consumers, it also needs information about the market dynamics for the basis of its decisions. The challenge for the business actors (especially the telecom operators) is in finding the right business models for pricing and service provisioning to build up a profitable business. Research results indicate that it is easier for the companies to discern the effects of technology development, or disruption, on the added value of products and services, but more challenging to see the changes needed in the strategic business model sainio 2005. The ability to create a mobile data business case of virtuous circle with growing externalities is very much a result of the techno-economic combination of technical features and pricing model (Saarikoski, 2006). Co- operation and partnering are needed on and between several layers of the business ecosystem to create a flourishing service business. What is meant with business modeling is not self-evident even in the economics literature. Some may even argue that there is no comprehensive definition for business modeling at all. Within the science, business modeling is still a young discipline (Osterwalder et al., 2005). Commonly technology-oriented and business-oriented people tend to use the term „„Business Model” differently. Either the business aspects or model aspects dominate. In the literature we can find several approaches to business modeling. In McKinsey and Company (1999), a business model defines how a company produces a product or a service and how it is delivered to the customer. It arises from the definitions of the activities of a company and their interrelationships. Timmers (1998) emphasizes the architectural description of the product, service and information flows, including the various business actors, their roles, potential benefits and sources of revenues. Slywotzky (1996) on the other hand has more functional definition, consisting of how a company selects its customers, defines and
  11. 11. 11 differentiates its offerings, defines the tasks it will take itself and those it will outsource; how it configures its resources, goes to market, creates utility for customers and earns a profit form that activity. For Afuah and Tucci (2000), a business model combines potential environmental factors and a firm‟s capabilities, providing a sustainable recipe to offer competitive products or services with relevant revenue logic. A more recent definition by Weill and Vitale (2002) emphasizes the partnership dimension of the roles and relationships among a firm‟s consumers, customers, allies, and suppliers identifying the major flows of product, information, and money, and the major benefits to the participants. Finally Osterwalder et al. (2005) defines business model as a description of the value a company offers to one or several segments of customers and of the architecture of the firm and its network of partners for creating, marketing and delivering this value, to generate profitable and sustainable revenue streams. All in all, the challenge is to identify the elements and relationships that describe the business of a company on a right focus and depth to make the estimation of the future development possible. A practical model needs to compile the selected technology, market and business structure inputs into the required economical outputs. In our techno-economic modeling of the telecom operators, handling of business models, earning logics and cost modeling (of both operational and capital expenditures) of the business actors has to be combined with more fuzzy market and revenue forecasts of right granularity to gain balanced results. For recent mobile technology market forecasting, see Stordahlet al. (2004). Most of the technology/market research of telecommunication systems and services are not public but done by commercial analysts or inside companies. However, public funded research projects have produced some techno-economic analyses that combine economics, market forecasts and business strategy aspects with a comprehensive technology modeling. (Olsen et al., 1996; Ims, 1998; Katsianis et al., 2001; Monath et al., 2003; Harno et al., 2007). This study investigates the business prospects fuelled by emerging technology opportunities and tries to estimate the high data rate 3G services diffusion prospects in the Western-European context. In that market GSM technology has the strong foothold with its continuum in technological advancements by GPRS, EDGE, UMTS and HSDPA technologies (GSA, 2007; UMTS Forum, 2007). The operators that control the networks and pricing are key actors, but they have to take into account both the end-users and their competitors in their strategic decision- making. In addition, equipment vendors, end-user service developers and providers, and the related value networks with mixed roles connect tightly to this diffusion dilemma. It is not only question of maximizing revenue, but also how to share this revenue optimally to guarantee the needed breakthrough in mobile data
  12. 12. 12 Chapter – II LITERATURE REVIEW
  13. 13. 13 History 3G technology is the result of ground-breaking research and development work carried out by the International Telecommunication Union (ITU) in the early 1980s. 3G specifications and standards were developed after fifteen years of persistence and hard work. The technical specifications were made available to the public under the name IMT-2000. The communication spectrum between 400 MHz to 3 GHz was allocated for 3G. Both the government and communication companies unanimously approved the 3G standard.[9] The first pre-commercial 3G network was launched by NTT DoCoMo in Japan in 1998, branded as FOMA. It was first available in May 2001 as a pre-release (test) of W-CDMA technology. The first commercial launch of 3G was also by NTT DoCoMo in Japan on 1 October 2001, although it was initially somewhat limited in scope; broader availability of the system was delayed by apparent concerns over its reliability. The first European pre-commercial network was an UMTS network on the Isle of Man by Manx Telecom, the operator then owned by British Telecom, and the first commercial network (also UMTS based W-CDMA) in Europe was opened for business by Telenor in December 2001 with no commercial handsets and thus no paying customers. The first network to go commercially live was by SK Telecom in South Korea on the CDMA-based 1xEV-DO technology in January 2002. By May 2002 the second South Korean 3G network was by KT on EV-DO and thus the Koreans were the first to see competition among 3G operators. The first commercial United States 3G network was by Monet Mobile Networks, on CDMA2000 1x EV-DO technology, but this network provider later shut down operations. The second 3G network operator in the USA was Verizon Wireless in July 2002 also on CDMA2000 1x EV- DO. AT&T Mobility is also a true 3G UMTS network, having completed its upgrade of the 3G network to HSUPA. The first pre-commercial demonstration network in the southern hemisphere was built in Adelaide, South Australia by m.Net Corporation in February 2002 using UMTS on 2,100 MHz. This was a demonstration network for the 2002 IT World Congress. The first commercial 3G network was launched by Hutchison Telecommunications branded as Three or "3" in June 2003. Emtel Launched the first 3G network in Africa. By June 2007, the 200 millionth 3G subscriber had been connected. This is only 6.7% of the 3 billion mobile phone subscriptions worldwide. In the countries where 3G was launched first – Japan and South Korea
  14. 14. 14 – 3G penetration is over 70%. In Europe the leading country for 3G penetrations is Italy with a third of its subscribers migrated to 3G. Other leading countries for 3G use include UK, Austria, Australia and Singapore at the 20% migration level. A confusing statistic is counting CDMA2000 1x RTT customers as if they were 3G customers. If using this definition, then the total 3G subscriber base would be 475 million at June 2007 and 15.8% of all subscribers worldwide.
  15. 15. 15 Chapter- III RESEARCH METHODOLOGY
  16. 16. 16 OBJECTIVES OF THE RESEARCH • To give a brief idea about the impact of 3G services in life of common people • To give an idea of the how much 3G services use by the people • To find out the best network connection for 3G services • To find the importance of 3G services between the people • Observe the uses of 3G services for mostly video conferencing or searching • To know the 3G service is more expensive then 2G services RESEARCH PLAN RESEARCH DESIGN DESCRIPTIVE RESEARCH METHOD USED SURVEY RESEARCH TECHNIQUE USED QUESTIONNAIRE DATA COLLECTION FROM C.G./ INDIA./ U.S.A SAMPLING PLAN CONVENIENCE NO. OF SAMPLES COLLECTED 100 MEASUREMENT LIKERT SCALE
  17. 17. 17 RESEARCH DESIGN DESCRIPTIVE: (Cross sectional) it is the deliberate manner to collect the information and it describes the phenomena without establishing the association between the factors. This is most commonly used when we want to know about the preferences of the customer. The design is cross- sectional because it is suited and the respondent is interviewed once. RESEARCH METHOD USED The research method used is survey method. Surveys are concerned with conditions or relationships. Variable that exist or have already occurred are selected and observed. RESEARCH TECHNIQUE The research technique used is questionnaire research technique. Questionnaire is an inexpensive way to gather data from a potentially large number of respondents. It is important to remember that the questionnaire should be viewed as a multi-stage process beginning with definition of the aspects to be examined ending with interpretation of the result Although questionnaire may be cheap to administer compared to other data collection methods, they are every bit as expensive in terms of design time and interpretation. DATA COLLECTION The data is collected using primary data the course of doing experimental research thought direct Communication with respondents and taught questionnaire. The primary data are those which are collected afresh and for the first time and thus happen to b original in character. The data is collected from the common people, in India and also from facebook friends of USA. And all over India through email. Or facebook SAMPLING PLAN CONVENIENCE SAMPLING: It is a type of non probability sampling which involves the sample being drawn from that part of the population which is close is to hand. That is, a sample population selected because it is readily available and convenient.
  18. 18. 18 MEASUREMENT-: The measurement scale used is likert scale. A likert item is simply a statement which the respondent is asked to evaluate according to any kind of subjective and objective criteria; generally the level of importance or unimportance is measured. Often five order response levels are used. Likert scaling is a bipolar scaling method, measuring either positive or negative response to a statement. 1.Strongly agree, 2.Agree, 3.Undecided, 4.Disagree, 5.Strongly disagree INTRODUCTION OF SPSS SPSS is a computer program used for statistical analysis . Between 2009 and 2010 the premier software for SPSS was called PASW (predictive Analysis software) statistics. The company announced July 28, 2009 that it was being acquired by IBM for US$1.2 billion. As of January 2010 it become “SPSS:An IBM company” SPSS (originally, Statistical Package for the Social Sciences) was released in its first version in 1968 after being developed by Norman H. Nie and C. Hadlai Hull. Norman Nie was then a political science postgraduate at Stanford University, and now Research Professor in the Department of Political Science at Stanford and Professor Emeritus of Political Science at the University of Chicago. SPSS is among the most widely used programs for statistical analysis in social science. It is used by market researchers, health researchers, survey companies, government, education researchers, marketing organizations and others.
  19. 19. 19 Chapter- IV DATA ANALYSIS & INTERPRETATION
  20. 20. 20 Frequency Table.: 1)= Is 3G services is convenient for you? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 35 35.0 35.0 35.0 2.00 56 56.0 56.0 91.0 3.00 8 8.0 8.0 99.0 4.00 1 1.0 1.0 100.0 Total 100 100.0 100.0 Pie Chart Interpretation.: From above pie chart there for 91% people convenient & for 8% people undecided and for 1% 3G services is not convenient 4.00 3.00 2.00 1.00 3g.cnvt.4 u
  21. 21. 21 Frequency Table: 2).= 3G services are very fast compare to 2G services? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 58 58.0 58.0 58.0 2.00 32 32.0 32.0 90.0 3.00 8 8.0 8.0 98.0 4.00 2 2.0 2.0 100.0 Total 100 100.0 100.0 Pie chart. Interpretation: From the above pie chart 90% people think it is very fast 8% people think its normal and 2% people think it is not fast to compare to 2G services 4.00 3.00 2.00 1.00 3g fast to 2g
  22. 22. 22 Frequency Table: 3).= You like to always use 3G services for using internet? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 45 45.0 45.0 45.0 2.00 41 41.0 41.0 86.0 3.00 11 11.0 11.0 97.0 4.00 3 3.0 3.0 100.0 Total 100 100.0 100.0 Pie chart. Interpretation: From the above pie chart 86% people use 3G services for internet 11% people undecided and 3% people are not use for internet, 4.00 3.00 2.00 1.00 3g use 4 intrnt
  23. 23. 23 Frequency Table: 4).= 3G services make your e-life very fast? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 31 31.0 31.0 31.0 2.00 33 33.0 33.0 64.0 3.00 24 24.0 24.0 88.0 4.00 9 9.0 9.0 97.0 5.00 3 3.0 3.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart 64% people think yes 24% people undecided and 12% people don‟t think that the 3G services make there e-life very fast, 5.00 4.00 3.00 2.00 1.00 e.lif very fast
  24. 24. 24 Frequency Table: 5).= By using 3G services you are more busy with internet? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 13 13.0 13.0 13.0 2.00 47 47.0 47.0 60.0 3.00 27 27.0 27.0 87.0 4.00 9 9.0 9.0 96.0 5.00 4 4.0 4.0 100.0 Tota 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart 60% people very busy 27% people undecided and 13% people no any effect after using 3G services, 5.00 4.00 3.00 2.00 1.00 mor bzy in inr net
  25. 25. 25 Frequency Table: 6).= Do you favor in 3G services? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 41 41.0 41.0 41.0 2.00 36 36.0 36.0 77.0 3.00 21 21.0 21.0 98.0 4.00 2 2.0 2.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart we find that the 77% people are in favor 21% undecided and 2% peoples are not in favor of 3G services. 4.00 3.00 2.00 1.00 favor in 3g
  26. 26. 26 Frequency Table: 7).= 3G services are very expansive compare to 2G services Frequency Percent Valid Percent Cumulative Percent Valid 1.00 26 26.0 26.0 26.0 2.00 40 40.0 40.0 66.0 3.00 27 27.0 27.0 93.0 4.00 6 6.0 6.0 99.0 5.00 1 1.0 1.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart we find that the 66% people think its very expansive 27% people undecided and 7% people think its not expansive compare then 2G services, 5.00 4.00 3.00 2.00 1.00 3g expncv to 2g
  27. 27. 27 Frequency Table: 8).= You like to use 3G services in your mobile Frequency Percent Valid Percent Cumulative Percent Valid 1.00 23 23.0 23.0 23.0 2.00 38 38.0 38.0 61.0 3.00 23 23.0 23.0 84.0 4.00 13 13.0 13.0 97.0 5.00 3 3.0 3.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart 61% people like to use 3G services in there mobile and 23% people are undecided and 16% people not use 3G services in there mobile, 5.00 4.00 3.00 2.00 1.00 3g in ur mobil
  28. 28. 28 Frequency table: 9).= You like to use 3G services in your dongle? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 54 54.0 54.0 54.0 2.00 27 27.0 27.0 81.0 3.00 13 13.0 13.0 94.0 4.00 6 6.0 6.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart 81% people use 3G in dongle 13% people undecided and 6 % people not use 3G services in there dongle, 4.00 3.00 2.00 1.00 3g in ur dongale
  29. 29. 29 Frequency table: 10).= After launching 3G services you go for net café more than use in mobile. Frequency Percent Valid Percent Cumulative Percent Valid 1.00 10 10.0 10.0 10.0 2.00 19 19.0 19.0 29.0 3.00 23 23.0 23.0 52.0 4.00 23 23.0 23.0 75.0 5.00 25 25.0 25.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation : From the above pie chart show that 29% people go for net café 23% people are undecided and 48% people not going for net café for using internet 5.00 4.00 3.00 2.00 1.00 cfy mr thn mobl
  30. 30. 30 Frequency chart: 11).= This 3G services is always very fast any time when you use it? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 20 20.0 20.0 20.0 2.00 38 38.0 38.0 58.0 3.00 24 24.0 24.0 82.0 4.00 14 14.0 14.0 96.0 5.00 4 4.0 4.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart we analyze that 58% people accept thet the 3G services are very fast 24% people undecided and 18% people says that its not very fast when they use 3G services for internet 5.00 4.00 3.00 2.00 1.00 vry fst wn u use
  31. 31. 31 Frequency table: 12).= You use 3G services only for video conferencing? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 12 12.0 12.0 12.0 2.00 30 30.0 30.0 42.0 3.00 22 22.0 22.0 64.0 4.00 22 22.0 22.0 86.0 5.00 14 14.0 14.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart we analyze that the 42% people use 3G services for video calling 22% people undecided and 36% people not use 3G services for video calling, 5.00 4.00 3.00 2.00 1.00 3g for vdo caling
  32. 32. 32 Frequency table: 13).= Do you think 3G services are help to increase cyber crime? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 20 20.0 20.0 20.0 2.00 37 37.0 37.0 57.0 3.00 34 34.0 34.0 91.0 4.00 6 6.0 6.0 97.0 5.00 3 3.0 3.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart we find that 57% people say yes 34% people say undecided and 9% people says no for that 3G services help to increase the cyber crime, 5.00 4.00 3.00 2.00 1.00 3g hlp cybr crim
  33. 33. 33 Frequency chart: 14).= Do you think 3G services use mostly by the youth generation? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 24 24.0 24.0 24.0 2.00 42 42.0 42.0 66.0 3.00 27 27.0 27.0 93.0 4.00 6 6.0 6.0 99.0 5.00 1 1.0 1.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart we find that 66% people think 3G services mostly use by youth generation 27% people are undecided and 7% people think the it is use mostly by the youth generation people, 5.00 4.00 3.00 2.00 1.00 use by uth gen.
  34. 34. 34 Frequency chart: 15).= Do you think 3G services are impact in the life of common people? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 14 14.0 14.0 14.0 2.00 32 32.0 32.0 46.0 3.00 43 43.0 43.0 89.0 4.00 9 9.0 9.0 98.0 5.00 2 2.0 2.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart we analyze 46% people think yes 43% people think natural and 11% people think no for 3G services impact in the life of common people, 5.00 4.00 3.00 2.00 1.00 impct lf of com pupl
  35. 35. 35 Frequency chart: 16).= which company‟s 3G services you prefer mostly? Frequency Percent Valid Percent Cumulative Percent Valid 1.00 29 29.0 29.0 29.0 2.00 20 20.0 20.0 49.0 3.00 14 14.0 14.0 63.0 4.00 15 15.0 15.0 78.0 5.00 10 10.0 10.0 88.0 6.00 12 12.0 12.0 100.0 Total 100 100.0 100.0 Pie chart: Interpretation: From the above pie chart we find that 29% people use BSNL, 20% people use IDIA, 14% people use RELIANCE, 15% people use AIRTEL,10% people use TATA, and 12% people use other company or source for using 3G services, 6.00 5.00 4.00 3.00 2.00 1.00 wch cmpny 3g srvs
  36. 36. 36 Chapter- V FINDINGS
  37. 37. 37 Findings:  According to survey in India people prefers mostly BSNL for 3G services,  Most of the respondents are influenced by advertisement,  Respondents are interested to use internet in there dongle,  Maximum no. of people in India think it impact in the life of common people  Lack of awareness about 3G services,  Most of the people are not aware with the function and benefits of 3G services,  Maximum people undecided what they want and what are the answer,  Lack of information between the consumers about 3G services,  Other country have different thinking about the 3G services,  In india every company not success to run 3G services successfully,  The network is not very fast like 3G any time,
  38. 38. 38 Chapter- VI Suggestions
  39. 39. 39 SUGGESTIONS: Mobile phones in which implementation of 3G mobile technologies can be implemented should improve their suitability for the same in comparison of all smart phones. Using applications of 3G mobile technologies should be easier. Hardware and software problems of 3G mobile technologies should be solved as quickly as possible. Thus, there are not much differences in the consumers` usage pattern of 3G mobile technologies in Ahmadabad so again all service providers should do all marketing activities irrespective of consumer`s usage pattern. Consumers` perception towards 3G mobile technologies does not change as per their age, income and occupation so all service providers should do all marketing activities irrespective of consumers` age, income and occupation. And also in india all mobile network company maintain that there speed of network and customers services and hear every people must to know about the 3G services and there benefits,
  40. 40. 40 Chapter- VII Conclusion
  41. 41. 41 CONCLUSION: As per the survey speed of 3G mobile technology is higher than other generations of technologies in India, Smart phones are more suitable for using 3G technologies than mobile phones in India , Additional facilities like video calling, mobile television, telemedicine, improved music quality, etc. are having edge over other generation technologies, Using Applications in 3G Handsets is more complex than other 2G handsets, 3G mobile technologies focus on all facilities in equivalent manner including internet facility, 3G phones do not have of hardware and software faults. So we can say that there are no differences in the consumers` usage pattern of 3G mobile technologies in India Consumers` perception towards 3G mobile technologies does not change as per their age, income and occupation in India. And maximum people think about the network availability before selecting the company of 3G services,
  42. 42. 42 Chapter- VIII LIMITATION
  43. 43. 43 Limitation on the project of 3G services  Sample data is very less  Lack of question in questionnaire  People are not interested to read properly the questionnaire  Lack of different test those can give more information  lake of consumers awareness about the services  lake of knowledge about the research,  data collection is in small area  Limitation of sample size: Sample Size is too small to come to generalization.  Limitation of respondents: They were not will to reveal all the required information for survey.  Accuracy of data: Chances was there that they may not be providing all information correctly.  Limitation of Bias: Sometimes it is possible that respondents may get biased of that special influential and respectful behaviour is exercised.
  44. 44. 44 Chapter- IX Bibliography
  45. 45. 45 BIBLIOGRAPHY:  RESERCH METHODOLOGY = C.R. KOTHARI  RESERCH PAPER BY = MS. RICHA PANDIT  RESERCH PAPER BY DEVINA UPADHYAY WEBLIOGRAPHY: WWW.GOOGLE.COM WWW.3GNETWORK.COM WWW.BSNL3GNETWORK.COM WWW.3GRESERCHPAPER.COM
  46. 46. 46 Chapter- X APPENDIX
  47. 47. 47 IMPACT OF 3G SERVICES IN LIFE OF COMMON PEOPLE SURVEY QUESTIONNAIRE Share your views by putting a  mark in the boxes against each question. To maintain confidentiality. How satisfied are you, about 3G Services??? Name: Profession: Age: Place: Qualification: Date: Cell No: Mail ID: A- Strongly Agree, B- Agree, C-Normal, D- Disagree, E- Strongly Disagree Sr. No. Particulars A B C D E 1 Is 3G services is convenient for you? 2 3G services are very fast service compare to 2G services 3 You like to always use 3G service for using internet 4 3G services make your e-life very fast 5 By using 3G services you are more busy with internet 6 Do you favor in 3G services 7 3G services are very expansive compare to 2G services 8 You like to use 3G services in your mobile 9 You like to use 3G services in your dongle 10 After launching 3G services you go for net café more than mobile 11 This 3G service is always very fast any time when you use it 12 You use 3G service only for video calling 13 Do you think 3G services are help to increase cyber crime 14 Do you think it is mostly using by youth generation 15 Do you think 3G services are impact in the life of common people 16 Which company’s 3G services you prefer mostly ……………………………… Anything else you would like to share:- Thanks for your valuable inputs.
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