Brand Loyalty and Satisfaction for Telecom Players in India

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    A REPORT

    ON

    Loyalty Based Program

    For

    Mobile Telecom Operators

    By

    Pragya Modi

    12BSP0871

    3HD Media

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    1. INTRODUCTION

    1.1 Telecommunication Industry - Introduction

    Access to telecommunication services has become the prime mover of the socio

    economic development in this information age. The role of Telecommunication, an

    engine of growth with multiplier and the social leveler, has been globally well

    recognized. To bridge the prevailing information gap between the connected and the

    not connected , gov ernments the world over have endeavored to ensure the ubiquity of

    telecommunication nationwide. Provision of universal access to basic telecommunication

    services at affordable price is considered important by the governments of all countries

    and mandated by their policies, regulation or legislation. The Indian telecom market has

    been displaying sustain high growth rates. Riding on expectation overall high economic

    growth and consequent rising income levels, it offers an unprecedented opportunity for

    foreign investment. A combination of factor is diving growth in the telecom market,

    promising rich return on investment.

    Universal service is a dynamic concept that provides for nation-wide coverage, non-

    discriminatory access, and widespread affordability. Nationwide coverage requires huge

    investment and also entails high operating cost. To meet the criterion of affordable

    pricing, the revenue may fall short of cost and hence cause deficits. The universal service

    policy has to reconcile the three contending criteria, i.e. availability, accessibility and

    affordability.

    Availability Provision of telephone service, whenever and wherever required, i.e. even

    in uneconomic areas such as rural and remote.

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    Accessibility Uniform, Non-discriminatory tariff in the service area- No discrimination

    in terms of price, service and quality regardless of geographical location, based on the

    geographical averaging.

    Affordability telephone service should be priced so that most users can afford it. Inuneconomic areas, this may mean tariff such as rental below cost.

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    The telecom industry is one of the fastest growing industries in India. India has

    nearly 200 million telephone lines making it the third largest network in the world after

    China and USA. With a growth rate of 45%, Indian telecom industry has the highest

    growth rate in the world.

    - Indias mobile phone subscriber base is growing at a rate of 82.2%.

    - China is the biggest market in Asia Pacific with a subscriber base of 48% of the total

    subscribers in Asia Pacific. Compared to that India s share in Asia Pac ific Mobile

    phone market is 6.4%. Considering the fact that India and China have almost

    comparable populations, India s low mobile penetration offers huge scope for growth.

    1.2 History of Indian Telecommunications

    Started in 1851 when the first operational land lines were laid by the government

    near Calcutta (seat of British power). Telephone services were introduced in India in

    1881. In 1883 telephone services were merged with the postal system. Indian Radio

    Telegraph Company (IRT) was formed in 1923. After independence in 1947, all the

    foreign telecommunication companies were nationalized to form the Posts, Telephone

    and Telegraph (PTT), a monopoly run by the government's Ministry of Communications..

    The first wind of reforms in telecommunications sector began to flow in 1980s when the

    private sector was allowed in telecommunications equipment manufacturing. In 1985,

    Department of Telecommunications (DOT) was established. It was an exclusive provider

    of domestic and long-distance service that would be its own regulator (separate from the

    postal system). In 1986, two wholly government-owned companies were created: the

    Videsh Sanchar Nigam Limited (VSNL) for international telecommunications and

    MTNL.

    In 1990s, telecommunications sector benefited from the general opening up of the

    economy. Also, examples of telecom revolution in many other countries, which resulted

    in better quality of service and lower tariffs, led Indian policy makers to initiate a change

    process finally resulting in opening up of telecom services sector for the private sector.

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    Telecommunication sector in India can be divided into two segments: Fixed Service

    Provider (FSPs), and Cellular Services. Fixed line services consist of basic services,

    national or domestic long distance and international long distance services. The state

    operators (BSNL and MTNL), account for almost 90 per cent of revenues from basic

    services. Private sector services are presently available in selective urban areas, and

    collectively account for less than 5 per cent of subscriptions. However, private services

    focus on the business/corporate sector, and offer reliable, high- end services, such as

    leased lines, ISDN, closed user group and videoconferencing.

    Cellular services can be further divided into two categories: Global System for Mobile

    Communications (GSM) and Code Division Multiple Access (CDMA). The GSM sector

    is dominated by Airtel, Vodfone-Hutch, and Idea Cellular, while the CDMA sector isdominated by Reliance and Tata Indicom. Opening up of international and domestic long

    distance telephony services are the major growth drivers for cellular industry. Cellular

    operators get substantial revenue from these services, and compensate them for reduction

    in tariffs on airtime, which along with rental was the main source of revenue. The

    reduction in tariffs for airtime, national long distance, international long distance, and

    handset prices has driven demand.

    1.3 Cellular Service

    1.3.1 Overview

    1. There are five private service operators in each area, and an incumbent state

    operator. Almost 80% of the cellular subscriber base belongs to the pre-paid

    segment.

    2. The DoT has allowed cellular companies to buy rivals within the same

    operating circle provided their combined market share did not exceed 67 per

    cent. Previously, they were only allowed to buy companies outside their

    circle.

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    1.3.2 Growth Drivers

    Opening up of international and domestic long distance telephony services are

    growth drivers in the industry. Cellular operators now get substantial revenue from these

    services, and compensate them for reduction in tariffs on air time, which along with

    rental was the main source of revenue. The reduction in tariffs for airtime, national long

    distance, international long distance, and handset prices has driven demand.

    1.3.3 Types of services:

    The telecommunication industry enrolls in itself a varied range of services that

    has been improving over a period of time. This services includes a various kind of

    services that are

    [A] Mobile services

    Mobile products can be divided into two parts on the basis of payments.

    1. Prepaid

    2. Postpaid

    There are two kinds of products in the mobile industry on the basis of technology.

    1. GSM-product & services

    GSM is by the most broadly deployed digital wireless standard in the world. It has over

    400 million customers to date in over 150 countries, with service provided by over 400

    operators. Other technologies used are CDMA & TDMA.

    2. CDMA- product & services

    CDMA is a digital communication technology to provide PCS service used by some

    carries in which an air interface assigns a code to each data packet sent over the air. The

    name CDMA is often used to refer to the IS-95 communication standard.

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    With both the above products all the operators are providing following services.

    a) Call management services

    b) SMS based services

    c) Value added serviced) Roaming

    e) Other services operator specific

    (a) Call management services

    CLIP-Caller line identification presentation

    Call wait/ call hold

    Call conference

    CLIR- caller line identification restriction

    Itemized bill

    Call Divert

    Call Barring

    Missed Call Alerts (MCA)

    Voice Mail Service

    (b) SMS based services

    Text messaging

    Mobile mail

    Magic Messaging (Group Message)

    Global SMS

    M-chat (chatting thru SMS)

    M-chat (messenger)

    (c) Value Added Services

    News

    Travel

    Dictionary

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    Stocks

    Mobile banking

    Reminder

    TV services

    Ringtone

    Logos

    Picture messages

    Y! mail

    Y! messenger

    Cricket

    Astrology

    Flash SMS, Blink SMS

    Caller tune or dialer tone

    (d) Roaming

    Within India

    -in circle

    -outside circle

    Outside India

    (e) Other operator specification services

    GPRS Services (GSM only)

    -polyphonic ringtone

    -java games

    -downloads

    -news-cinema

    -3D wallpapers

    -Web site

    Fax and data services

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    Enterprise business solution

    PC to phone telephoning

    Device based internet telephoning

    Domain based e-mail services

    [D] Others

    1. V-SAT (Very Small Aperture Terminal)

    Data communication at speed up to 64 kbps

    Support of X.28 & X.25 protocols for data communications.

    Voice facility on the V-SAT with connection to public telephone

    network (PSTN of BSNL)

    Access to BSNL s RABMN network & I -net phase 1 & 2 networks.

    Access to international data networks through GPSS of VSNL.

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    BHARTICELLULAR

    LTD.

    Corporatestructure

    Bharti Cellular td. Is the mobile operating arm of the Bharti

    Televentures.

    Bharti Televentures is 28.5%-owned by SingTel. The operator

    is listed on the national, Mumbai and New Delhi stock

    exchange.

    Bharti cellulars offer mobile services under its Airtel brand.

    Financial andoperational

    performance

    Bharti reported mobile revenue of 13,431 Crores for the year

    2008-09- a year on-year growth of 63%.

    Bharti had 93.92 mn mobile subscribers for year 2009, at

    growth rate 51.53%.

    Companystrategy

    Bharti is the largest GSM player in the Indian mobile service

    market.

    The company has operational networks in 22 out of 23 circles

    across India.

    The operator is investing in expanding its network nationwide.

    It is working with Ericsson, Siemens and Nokia in a network

    management outsourcing arrangements to help speed

    deployment and increase the efficiency of its network

    expansion.

    Products andservices

    Bharti operates a GSM network, over which it is currently

    rolling out edge technology.

    It offers pre-paid and post-paid voice, MMS and Internet

    access services.

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    BSNL

    Corporate

    structure

    BSNL is state owned incumbent operator, serving all areas of

    the country apart from Mumbai and New-Delhi.

    BSNL offers mobile services under the brand name CellOne.

    Financial andoperational

    performance

    BSNL reported a mobile subscriber base of 52.15 mn with

    growth rate 58.70%.

    Companystrategy

    BSNL entered in the mobile market in 2002, some six years

    after the first private operators started services.

    The company has operational a networks in 23 out of 23

    circles across India (it does not operate in Mumbai and New

    Delhi).

    The operating is targeting lower-income users (it is the largest

    GSM operator in the poorer states of Bihar, Orissa, Assam, and

    North-East.

    BSNL has followed Reliance s aggressive tariff stance in the

    pre-paid sector, while also lowering its fixed national tariffs to

    improve its competitiveness in the voice sector.

    Products andservices

    BSNL operates a near-nationwide GSM network, covering

    every operating circle expect Mumbai and New Delhi.

    It offers pre-paid and post-paid voice services.

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    VODAFONE-ESSAR

    Corporatestructure

    It is the joint venture of the England based mobile group and

    the Indian conglomerate Essar Group.

    Financial andoperational

    performance

    Vodafone reported a mobile subscriber base of 68.77 mn with

    growth rate 27.85%.

    Companystrategy

    Vodafone Essar previously Hutchison-Essar entered the

    mobile market in 1995 in the first wave of operator licensing.

    The operator has a presence in all four metro circles in India.

    The operator is expanding its business and increasing market

    share through a combination of growth by acquisition (it has

    acquired the operation of Fascle and Aircel in the year to

    September 2004) as well as network investment.

    The operator launched EDGE services in July 2004.

    Products andservices

    Vodafone- Essar currently offers GSM services across 22

    circle in India. It offers Pre-paid and Post-paid voice, MMS and Internet

    access services.

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    IDEACELLULAR

    Corporatestructure

    Idea cellular is owned by AT&T group

    Financial andoperational

    performance

    Idea cellular had 38.89 mn subscribers with growth rate of

    62.03%.

    Companystrategy

    The operator is currently placed fourth in the mobile market.

    Telecom Malaysia and Singapore s STT Telemedia are poised

    to become the largest shareholders in the largest shareholders

    in the operator, once they acquire AT&T s 33% stake in it.

    The operator is expanding primarily through acquisition- in

    June 2004, it fully incorporated the Kerala, Haryana and

    UttarPradesh West Operation of Escotel. The operator is also

    interested in making further acquisition in the market but such

    moves must wait until the shareholder structure of the operator

    has been finalized.

    Products andservices

    Idea offers GSM services across 21 circles in India, including

    the metro area of the Delhi.

    It offers Pre-paid and Post-paid voice, MMS and Internet

    access services.

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    RELIANCECOMMUNICATION

    Corporate structure

    Reliance communication is the local telecom service

    provider unit of diversified conglomerate Reliance Group

    that is Anil Dhirubhai Ambani Group.

    The company offers mobile services under the brand

    Reliance Mobile.

    Financial andoperational

    performance

    Reliance Mobile had 72.67 mn subscribers with growth

    rate of 55.84 %.

    Company strategy

    Reliance is the second largest player in the mobile servicemarket.

    The company targets the prepaid mobile market in india,

    primarily with its CDMA service, which offers both full

    and (cheaper ) limited mobility services to end users.

    The operator is aggressively pricing its prepaid services

    and the particular on net tariffs, as a means of increasing

    its market share.

    Rural sector is targeted through launch of tariffs low

    priced handset with a price range of Rs 999 to Rs 18000.

    Products andservices

    The operator has CDMA2000 1x network, covering 23

    circles operating across India

    Reliance offers prepaid and post-paid voice services,

    International Calling Card, as well as MMS and Internet

    access. It also offers limited mobility services over its

    WLL network.

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    3. INDUSTRY ANALYSIS

    3.1 Porters five force model:

    Barriers to entry

    Product differentiation very difficult Licensing requirement Investment in technology & network Government standards and laws

    Bargaining powerof customer

    Customersloyaltiesare harderto retain

    Switchingcosts arelowerbecause of no. of

    player inmarket

    Easyavailabilityof products& services

    Rivalry among competitors

    high competition inmajor player in telecomindustry

    high competition due toprivate sector andpublic sector operators

    CDMA providerspushing hard

    Low margin basedintense competition

    Bargaining powerof supplier

    Limited noof playersinequipmentmarket

    Networkandtechnologyproviders

    are limitedIn numbers

    A newtechnological serviceprovidedby firmsdependson supplier

    Threats of substitutes

    Mobile subscribersuse e-mail, fixed line,CDMA and vice-versa

    Technologicaldevelopment makingsubstitute moreaccessible

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    FORCE -1 RIVALRY AMONG THE EXISTING PLATERS

    Rivalry among the existing players is intense even though only few players are permitted

    in each of the service areas or circles. The rivalry among existing players in the telecom

    industry is moderately high. The followings are the main reasons for such type of rivalry.

    Mergers/acquisitions and joint venture

    Rivalry is high in India because due to the mergers and acquisition among the

    existing players try to gain market share and economies Vodafone Essar joint

    venture scales. We can take example Vodafone Essar joint venture, Airtel

    acquired Hexacomm, and Idea acquired Escotel.

    The number of competitors:

    Rivalry intensifies as the number of competitor s increases and as competitors

    become more equal in size and capability. In telecom industry there are number

    of competitors exist and also increasing. So that it is harder for one or two firms

    to win the competing battle and dominate the market. Further 64 more new

    player are given license to operate in india.

    Demand for the product:

    Rivalry is usually stronger when demand for the product is growing. Here the

    demand for the mob ile is growing faster. The demand in all the user groups i.e.residential users, business users, educational users and health users is increasing

    at higher rate and as a result of this the Rivalry is increasing.

    Use of price cut methods and other competitive weapons:

    The higher use of price cut methods and other competitive weapons shows that

    the Rivalry is higher in the industry. Here all the telecom companies like BSNL,

    RELIANCE, TATA, AIRTEL, VODAFONE, IDEA and all others companies

    are cutting their prices for compete the other companies. They try to provide

    better services like instrument, coverage facility, internet facility and some other

    extra services. So we can say that the Rivalry is moderately high in this industry.

    Dissatisfaction of competitors:

    Rivalry is stronger when one or more competitors are dissatisfied with their

    market position and launch moves to bolster their standing at the expense of the

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    rival. In telecom industry, especially in the mobile sector, the competitors are not

    satisfied with their current market position and they are trying to capture more

    market share by using various competitive weapons. And as a result of such

    dissatisfaction the Rivalry is becoming stronger.

    High exist barriers:

    Rivalry tends to be more vigorous when it cost more to get out of business than

    to stay in and compete. As the investment of the various companies is very high

    for entering in such industry (like reliance has invest thousands crore of rupees

    for establishing fiber optics network, BSNL has invest high amount of money for

    establishing is network), it is not easy for the companies to get out of the

    business easily so the only way for them is to stay in the business and compete.

    So the Rivalry is high in this industry.

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    FORCE-2 THREATS OF NEW ENTRANTS

    Threats of new entrants are moderate in telecom industry because of the

    high entry barriers to new inexperienced comer and foreign firms (like

    Vodafone) who have already existence in more than one country as telecom

    service providers. No surprise, in the capital-intensive telecom industry the

    biggest barrier to entry is access to finance. To cover high fixed cost, serious

    contenders typically require a lot of cash. When capital markets are generous, the

    threat of competitive entrants escalates,. When financing opportunities are less

    readily available, the pace of entry slows. Meanwhile, ownership of a telecom

    license can represents a huge barrier to entry. There is also a finite amount of

    good radio spectrum that lends itself to mobile voice a nd data applications. Inaddition, it is important to remember that solid operating skills and management

    experience is fairly scarce, making entry even more difficult.

    High entry barriers

    Because of the barriers to entry, it becomes very difficult for the new players to

    operate in India because of the government licensing policies.

    High competition

    Competition in telecom industry is very high because of numbers of domestic

    and foreign players into the market and their capability of providing innovative

    services and very well know-how of technology.

    High capital investment

    One of the important factor to consider while entering into the telecom industry

    is the huge capital requirement for the investment.

    Older and well established players who have a nationwide network

    Presently, there are many no. of strong players like Bharti Airtel, BSNL, MTNL,

    Vodafone, Idea, VSNL, and Reliance into the market with nationwide network.

    These players have established their position into the market as well as in the

    mind of customer also.

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    License fee

    New entrance are required to pay the license fee, entry fee and fixed the revenue

    share license fee at 6 percent and follow the rollout obligations.

    Continuously evolving technology

    The technology in telecom industry is changing and on mobile its changes from

    1G to 3G at very fast rate as the every player in the industry is coming with new

    services and application.

    Falling tariffs

    Call tariffs are declining in telecom industry due to high competition, which

    results in less revenue for telecom operator.

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    FORCE-3 THREATS OF SUBSTITUTES

    The threats from the substitute products a re moderate in the telecom industry.

    Threats from wireless in local loop (WLL) based limited mobility was

    considerably reduced after TRAI imposed the mobility of WLL based basic

    operator to 25km revenue share domestic long to 5%. The threats are depend on

    the following tree factors.

    Whether attractive priced substitutes are available

    Whether buyers view the substitutes as being satisfactory in terms of

    quality, performance and other relevant attributes.

    Whether buyers can switch to substitute easily.

    The following are some substitute for the telephone and mobile.

    On line chat:

    On line chat, which can be done through internet is a major substitute for

    the telecom services. People can communicate with each other using web

    cameras and microphones. This substitute is good in performance as well

    as cheaper in price. So the industry has significant threats from growth of

    this substitute facility. Obviously earlier this facility required the use of

    telephone lines but

    Now a day s using radio lines and other facilities one can use this facility

    without using telephone lines.

    E-mail:

    The faster way of communication is through electronic mail. It is cheapas well as faster way of communication. But the main disadvantage of

    this substitute is that the use of email is not easy for everyone in compare

    of simple mail so far as backward areas of India are concern. So we can

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    FORCE-4 BARGAINING POWER OF SUPPLIER

    At first glance, it might look like telecom equipment suppliers have

    considerable bargaining power over telecom operators. Indeed, without high-tech

    broadband switching equipment, fiber-optic cables, and mobile handsets and

    billing software, telecom operators would not be able to do the job of transmitting

    voice and data from place to place. But there are actually a large number of large

    equipment makers around.

    There are a number of domestic private players like Himachal Futuristic,

    Global Telecommunication, Bharti Telecom, Tata Telecom, Shyam Telecom etc.

    are serious players in the field. Nortel, Lucent, Cisco, Nokia, Alcatel, Ericsson,

    Tellabs are just a few of the foreign supplier names. There are enough vendors,

    arguably, to dilute bargaining power. The limited pool of talented managers and

    engineers, especially those well versed in the latest technologies, places

    companies in a weak position in terms of hiring and salaries.

    In telecom industry the bargaining power of supplier is lower than

    moderate. The main reasons are as following.

    Grey markets The handset market is very competitive with substantially lower handsets

    prices offered by the grey markets.

    Number of suppliers

    The numbers of telecom equipment suppliers are in big size. There are

    many domestic as well as foreign players operating in India. With the

    government putting in place an attractive trade and investment policy for

    telecom equipments, it is expected that this step will intensify

    competition, as it will attract foreign players into the telecom equipment

    manufacturing sector. Some of the important measures announced by the

    government include no industrial license required to set-up a

    manufacturing unit; automatic approval of 100 per cent foreign equity;

    full reparability of dividend and capital invested and confessionals import

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    duties of five per cent for import of certain equipment (for cellular, ISP

    networks).

    Commoditization of communications equipments

    Many communications equipments have been commoditized these days;

    Thereby, the equipment providers had turned their focus to providing

    good customer services in efforts to win customers.

    Telecom industry consolidation

    As the telecom industry consolidates, the number of communications

    equipment buyers will decrease. In this environment, equipment buyers

    (telecoms) are expected to gain more bargaining power over the

    equipment providers. The communications equipment industry is likely to

    go through its own wave of M&A. mergers will not only allow equipment

    providers to gain back market power, but also at the same time refresh

    their product portfolios with new and acquired technologies.

    Government policy

    With the government putting in place an attractive trade and investment

    policy for telecom equipments. It is expected that this step will intensify

    competition. Some of the important measures announced by the

    government include to industrial license required to set-up amanufacturing unit; automatic approval of 100 per cent foreign equity;

    full reparability of dividend and capital invested and confessionals import

    duties of five per cent for certain equipment (for cellular, ISP networks).

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    FORCE-5 BARGAINING POWER OF CUSTOMERS

    For the telecom industry the bargaining power of the customer is

    moderately low. The followings are the main reasons for this argument.

    Low penetration rate

    Penetration rate is low (compared to other countries with similar

    economies and population) but demand is increasingly at a high rate.

    Market fragmentation

    Buyers are fragment with no influence on price or product even though

    the new entrants of MTNL and BSNL as well as the option of WLL allow

    them to switch services.

    Switching cost

    The switching cost of buyers to competing brands is relatively high.

    Because switching from one service provider to another the customers

    have to face many problems like changing the number, problem of

    current account balance and problem of activation charge for new

    connection. So they mostly prefer the existing connection instead of

    switching to the new one.

    The number buyers As the number of buyers is low the bargaining power of the customer is

    high but here the number of buyers is very high so the customers are not

    that much important for the companies and their bargaining power is low.

    Buyers discretion in whether and when they purchase the product

    Here the customers have not discretion in whether and when they

    purchase the product. Because for ex. In mobile when the card is expiring

    after some time; the customer has to recharge it within the given period to

    remain its card number as it is.

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    4. LITERATURE REVIEW

    Debnath (2008), in his study, he explained that the prime focus of the service providers is

    to create a loyal customer base by benchmarking their performances and retainingexisting customers in order to benefit from their loyalty. With the commencement of the

    economic liberalization in 1991, and with a view to expand and improve telecom

    infrastructure through the participation of the private sector, the Government of India

    permitted foreign companies holding 51 percent equity stake in joint ventures to

    manufacture telecom equipment in India. The Indian Government has announced a new

    policy, which allows private firms to provide basic telephone services. There had been a

    monopoly of the state-owned department of telecommunications. However, several

    companies are expected to benefit from the policy change.

    Kalavani (2006) in their study analyzed that majority of the respondents have given

    favourable opinion towards the services but some problems exist that deserve the

    attention of the service providers. They need to bridge the gap between the services

    promised and services offered. The overall customers attitude towards cell phone

    services is that they are satisfied with the existing services but still they want more

    services to be provided.

    Kumar (2008), in their study titled Customer Satisfaction and Discontentment vis-a-vis

    BSNL Landline Service: A Study analyzed that at present, services marketing plays a

    major role in the national economy. In the service sector, telecom industry is the most

    active and attractive. Though the telecom industry is growing rapidly, India's telecom

    density is less than the world's average telecom density as most of India's market is yet to

    be covered. This attracts private operators to enter into the Indian telecom industry,which makes the Bharat Sanchar Nigam Limited (BSNL) more alert to run its business

    and survive in the market.

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    6. DATA ANALYSIS

    6.1 Analysis of Demographic Variables:

    1) Gender:

    In this research, out of 258 respondents 72.86% are male and 27.14% are female.

    2) Occupation:

    In this research, out of 258 respondents, 51.55% are students, 23.25% are working

    employees, 22% are running their own businness, 1% are retired from their work and 2%

    are from other than these categories.

    0

    50

    100

    150

    200

    Male Female

    Male (72.86%)

    Female(27.14%)

    Gender

    0

    20

    40

    60

    80

    100

    120

    140

    STUDENT EMPLOYEE BUSINESS RETIRED OTHER

    STUDENT(51.55%)

    EMPLOYEE(23.25%)

    BUSINESS (22%)

    RETIRED (1%) OTHER (2%)

    Occupation

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    3) Type of Service User:

    In this research, out of 258 respondents, 81.4% respondents are using pre-paid services

    and 18.6% respondents are using post-paid services. So, it shows that there are more

    number of pre-paid users than post-paid users.

    4) Age:

    In this research, out of 258 respondents, 10% are respondents are below age 20, 69% are

    between age 20 to 30 years, 12% are between age 30 to 40, 5% are between age 40 to 50,

    and 5% are from age above 50.

    0

    50

    100

    150

    200

    250

    PRE-PAID POST-PAID

    PRE-PAID(81.4%)

    POST-PAID(18.6%)

    Type of Service User

    0

    50

    100

    150

    200

    Below 20 20-30 30-40 40-50 Above 50

    Below 20 (10%)

    20-30 (69%)

    30-40 (12%)40-50 (5%) Above 50 (5%)

    Age

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    5) Multiple Users:

    In this research, out of 258 respondents, 37% consumers are using more than 1 MSPs

    services and 63% consumers are using only 1 MSPs services.

    6) Income:

    In this research, out of 258 respondents, 13% are having income less than 1 lac, 20%

    having income between 1 lac and 2 lacs, 28% having income between 2 lacs and 3 lacs,

    18% having income between 3 lacs and 4 lacs, and 21% having income above 4 lacs.

    0

    50

    100

    150

    200

    Consumers using more

    than 1 MSPs' services

    Consumers using only 1

    MSPs' services

    Consumersusing more

    than 1 MSPs'services (37%)

    Consumersusing only 1

    MSPs' services(63%)

    Multiple Users

    0

    10

    20

    30

    40

    50

    60

    70

    80

    400K

    400K (21%)

    Income

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    6.2 Mean Interpretation:

    Overall Mean Table:

    This mean table shows mean of each variable as responded by the respondents. If

    we take cut-off mean as 3.5 then, there are several factors which have mean more than

    3.5 and are highlighted in above table. From the respondents point of view, they a re

    more satisfied to factors highlighted above. So, these 10 factors are more important to

    them for their satisfaction.

    Mean Table (All MSPs)

    Variables Mean Value

    Network coverage 3.85

    Call rates 3.79

    Roaming Facilities 3.66

    SMSs 4.12

    GPRS/Internet 3.57

    Caller tunes 3.60

    Various alerts 2.83

    Availability of customer stores 3.98

    Availability of recharge points/Bill-Payment option

    4.35

    Types of recharge vouchers/Plans 4.27

    Customization 3.19

    Query resolved by customer care 3.82

    Waiting time for having connected withrepresentative

    3.46

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    6.3 Companywise mean tables:

    1) AIRTEL:

    This mean table shows mean of each variable as responded by the respondents. If

    we take cut-off mean as 3.5 then, there are several factors which have mean more than

    3.5 and are highlighted in above table. From the respondents point of view, they are

    more satisfied to factors highlighted above with Airtel. So, these 11 factors are more

    important to them for their satisfaction.

    Mean Table (AIRTEL)

    Variables Mean Value

    Network coverage 3.90

    Call rates 3.76

    Roaming Facilities 3.79

    SMSs 4.43

    GPRS/Internet 3.76

    Caller tunes 3.87

    Various alerts 2.98

    Availability of customer stores 4.02

    Availability of recharge points/Bill-Payment option

    4.51

    Types of recharge vouchers/Plans 4.32

    Customization 3.48

    Query resolved by customer care 4.30

    Waiting time for having connected withrepresentative

    3.97

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    2) VODAFONE:

    This mean table shows mean of each variable as responded by the respondents. If

    we take cut-off mean as 3.5 then, there are several factors which have mean more than

    3.5 and are highlighted in above table. From the respondents point of view, they are

    more satisfied to factors highlighted above with Vodafone. So, these 12 factors are more

    important to them for their satisfaction. So, Vodafone customers are satisfied with all

    factors taken in this research except various alert services.

    Mean Table (VODAFONE)

    Variables Mean Value

    Network coverage 4.23

    Call rates 4.23

    Roaming Facilities 4.05

    SMSs 4.32

    GPRS/Internet 3.82

    Caller tunes 3.71

    Various alerts 3.26

    Availability of customer stores 4.27

    Availability of recharge points/Bill-Payment option

    4.79

    Types of recharge vouchers/Plans 4.79

    Customization 3.60

    Query resolved by customer care 4.15

    Waiting time for having connected withrepresentative

    4.05

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    3) IDEA:

    This mean table shows mean of each variable as responded by the respondents. If

    we take cut-off mean as 3.5 then, there are several factors which have mean more than

    3.5 and are highlighted in above table. From the respondents point of view, they are

    more satisfied to factors highlighted above with Idea. So, these 9 factors are more

    important to them for their satisfaction. So, above table shows that Idea customer are not

    much satisfied with call rates and roaming facilities which are part of basic services.

    Mean Table (IDEA)

    Variables Mean Value

    Network coverage 4.12

    Call rates 3.42

    Roaming Facilities 3.14

    SMSs 3.72

    GPRS/Internet 3.56

    Caller tunes 3.72

    Various alerts 2.84

    Availability of customer stores 4.26

    Availability of recharge points/Bill-Payment option

    3.96

    Types of recharge vouchers/Plans 3.82

    Customization 3.28

    Query resolved by customer care 3.86

    Waiting time for having connected withrepresentative

    3.86

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    4) BSNL:

    This mean table shows mean of each variable as responded by the respondents. If

    we take cut-off mean as 3.5 then, there are several factors which have mean more than

    3.5 and are highlighted in above table. From the respondents point of view, they are

    more satisfied to factors highlighted above with BSNL. So, these 6 factors are more

    important to them for their satisfaction. So, above table shows that BSNL customer is not

    much satisfied with other services. They are also dissatisfied with VASs.

    Mean Table (BSNL)

    Variables Mean Value

    Network coverage 3.28

    Call rates 3.79

    Roaming Facilities 3.91

    SMSs 3.98

    GPRS/Internet 3.02

    Caller tunes 3.02

    Various alerts 2.53

    Availability of customer stores 3.72

    Availability of recharge points/Bill-Payment option

    4.23

    Types of recharge vouchers/Plans 4.36

    Customization 2.62

    Query resolved by customer care 3.15

    Waiting time for having connected withrepresentative

    2.26

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    5) RELIANCE MOBILE:

    This mean table shows mean of each variable as responded by the respondents. If

    we take cut-off mean as 3.5 then, there are several factors which have mean more than

    3.5 and are highlighted in above table. From the respondents point of view, they are

    more satisfied to factors highlighted above with Reliance mobile. So, these 6 factors are

    more important to them for their satisfaction. So, above table shows that Reliance mobile

    customer is not much satisfied with other services and basic services. They are satisfied

    with VASs most.

    Mean Table (RELIANCE MOBILE)

    Variables Mean Value

    Network coverage 3.41

    Call rates 3.63

    Roaming Facilities 3.22

    SMSs 3.74

    GPRS/Internet 3.67

    Caller tunes 3.78

    Various alerts 2.33

    Availability of customer stores 3.15

    Availability of recharge points/Bill-Payment option

    3.78

    Types of recharge vouchers/Plans 3.52

    Customization 2.63

    Query resolved by customer care 3.30

    Waiting time for having connected withrepresentative

    2.59

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    6.4 Chi-Square Tests:

    Hypothesis 1:

    Ho: Consumers satisfaction with Call rates of MSPs is not

    significantly related to Income of consumers

    H 1: Consumers satisfaction with Call rates of MSPs is significantly

    related to Income of consumers

    Income and Call rates Cross Tabulation

    Income

    Consumers satisfaction with Call rates of MSPs

    2 3 4 5 Total

    1 7 4 10 11 32

    2 4 11 20 17 52

    3 0 15 30 29 74

    4 0 7 13 27 47

    5 0 5 24 24 53

    Total 11 42 97 108 258

    Chi-Square Tests

    Value df Significance

    Pearson Chi-Square 42.542 12 .000

    Likelihood Ratio 38.124 12 .000

    Linear-by-Linear

    Association

    14.559 1 .000

    N of Valid Cases 258

    Here, significance value is 0.000 that is less than 0.05. So, null hypothesis is rejected and

    alternative hypothesis is accepted. So, test shows that Consumers satisfaction with Call

    rates of MSPs is significantly related to Income of consumers.

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    Hypothesis 2:

    Ho: Consumers satisfaction with Availability of Customer stores is

    not significantly related to Age of consumers

    H 1: Consumers satisfaction with Availability of Customer stores is

    significantly related to Age of consumers

    Age and Availability of Customer Stores Cross Tabulation

    AGE

    Availability of Customer Stores

    1 2 3 4 5 Total

    1 0 2 2 13 8 25

    2 8 15 21 54 80 178

    3 0 2 9 9 10 30

    4 0 4 2 2 5 13

    5 0 0 0 6 6 12

    Total 8 23 34 84 109 258

    Chi-Square Tests

    Value df SignificancePearson Chi-Square 27.947 a 16 .032

    Likelihood Ratio 28.361 16 .029

    Linear-by-Linear

    Association

    .012 1 .912

    N of Valid Cases 258

    Here, significance value is 0.032 which is less than 0.05. So, null hypothesis is rejectedand alternative hypothesis is accepted. So, test shows that Consumers satisfaction with

    Availability of Customer stores is significantly related to Age of consumers.

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    Hypothesis 4:

    Ho: Type of Service opted by the consumers is not significantly

    related to Occupation of consumers

    H 1: Type of Service opted by the consumers is significantly related to

    Occupation of consumers

    Service and Occupation Cross Tabulation

    Occupation

    Service

    STU EMP BUS RET OTH Total

    1 112 51 36 3 6 208

    2 20 10 20 0 0 50

    Total 132 61 56 3 6 258

    Chi-Square Tests

    Value df Significance

    Pearson Chi-Square 13.585 a 4 .009

    Likelihood Ratio 13.997 4 .007

    Linear-by-Linear Association

    2.659 1 .103

    N of Valid Cases 258

    Here, significance value is 0.009 which is less than 0.05. So, null hypothesis is rejected

    and alternative hypothesis is accepted. So, test shows that Type of Service opted by the

    consumers is significantly related to Occupation of consumers.

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    6.5 ANOVA Tests:

    Hypothesis 5:

    Ho: Means of Consumers satisfaction with Network Coverage of

    Vodafone, Airtel and Idea are same ( voda= airtel= idea )

    H 1: Means of Consumers satisfaction with Network Coverage of

    Vodafone, Airtel and Idea are not same ( voda airtel idea )

    ANOVA

    Sum of

    Squares

    df Mean Square F Sig.

    Network

    Coverage

    Between Groups 3.333 2 1.666 1.528 .220

    Within Groups 187.547 172 1.090

    Total 190.880 174

    Here, significance value is 0.220 > 0.05. So, there is not enough evidence to reject null

    hypothesis. So, Null hypothesis is accepted. So, test shows conclude that the means of

    Consumers satisfaction with Network Coverage of Vodafone, Airtel and Idea are same

    (voda= airtel= idea ). It means that, consumers satisfaction with network coverage provided

    by Vodafone, Airtel and Idea are almost same.

    Hypothesis 6:

    Ho: Means of Consumers satisfaction with Convenience of Vodafone,

    Airtel and Idea are same ( voda= airtel= idea )

    H 1: Means of Consumers satisfaction with Convenience of Vodafone,

    Airtel and Idea are not same ( voda airtel idea )

    ANOVA

    Sum of

    Squares

    df Mean Square F Sig.

    Convenience

    Between Groups 10.315 2 5.157 10.235 .000

    Within Groups 86.670 172 .504

    Total 96.984 174Here, significance value is 0.000 < 0.05. So, null hypothesis is rejected. So, alternative

    hypothesis is accepted & it shows that the means of Consumers satisfaction with

    Convenience of Vodafone, Airtel and Idea are not same . It means that, consumers

    satisfaction with convenience provided by Vodafone, Airtel and Idea are different. 6.7

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    So, above table shows name of the extracted 10 factors by new 4 factors. The 4 new

    factors are as follow.

    Customized VASs Convenience

    Network Coverage

    Call Tariff

    So, from this factor analysis, there are mainly 4 factors that influence the customers most.

    6.8 Factor analysis: (Company wise)

    The factor analysis for individual company s data shows same result as it was for

    overall factor analysis except for Idea cellular. In Idea cellular there were two more

    factors such as Query resolved by customer care and waiting time for having connected

    with representative are included in component 3. So, for Idea cellular these two factors

    are also affecting satisfaction of the consumers, otherwise it is same as it is for other

    companies.

    ExtractedComponents

    New NameComponent Extracted Factors

    FactorLoadings

    Value

    Customized VASs

    Component

    1

    GPRS/Internet 0.876

    Caller tunes 0.829

    Various alerts 0.764

    Customization 0.775

    ConvenienceComponent

    2

    Availability of customer stores 0.747

    Availability of recharge points/Bill-Payment option

    0.894

    Types of recharge vouchers/Plans 0.881

    Network Coverage

    Component 3

    Network coverage 0.719

    Call Tariff Component

    4

    Call rates 0.772

    Roaming Facilities 0.779

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    6.9 Hypothesis Testing with Regression: (Before factor analysis)

    The variables taken for this analysis are the variables which were initially

    considered for the study.

    6.9.1 Regression for Consumer Loyalty towards MSP as dependent variable

    and Satisfaction with Basic Services, Satisfaction with VASs, Satisfaction

    with Convenience, Satisfaction with Other Services as an independent

    variables.

    Regression output from Excel

    Regression Statistics

    Multiple R 0.778278

    R Square 0.605717

    Adjusted RSquare

    0.599483

    Standard Error 0.857958

    Observations 258

    ANOVA

    df SS MS F

    Regression 4 286.0978 71.52445 97.16783

    Residual 253 186.2312 0.736092

    Total 257 472.329

    Coefficients Standard

    Error t Stat P-value

    Intercept -2.69182 0.326659 -8.24047 9.31E-15

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    AVG-BS 0.569968 0.088054 6.47292 4.96E-10

    AVG-VA 0.55109 0.079437 6.937464 3.33E-11

    AVG-CO 0.47892 0.076147 6.289393 1.39E-09

    AVG-OS -0.00159 0.074823 -0.0212 0.983099

    6.9.1.1 Prediction Equation:

    The prediction equation is LO = -2.6918 + 0.5699 (BS) + 0.5510 (VA) + 0.4789 (CO) -

    0.0015 (OS)

    Where, LO=Consumer Loyalty towards MSP

    BS=Satisfaction with Basic services

    VA= Satisfaction with VASs

    CO= Satisfaction with Convenience

    OS= Satisfaction with Other Services

    telling you that LO is predicted to increase 0.5699 when the BS factor goes up by one,

    increase by 0.5510 when VA goes up by one, increase by 0.4789 when CO up by one,

    decrease by 0.0015 when OS goes up by one, and is predicted to be 0.43 which is

    equivalent to zero (0) when all factors rated as minimum that is 1 and also predicted to be

    5.29 which is equivalent to five (5) when all factors rated as maximum that is 5. So, it

    shows that consumers loyalty towards MSP increases when consumers satisfaction level

    is high with all of above factors except OS and consumers loyalty towards MSP

    decreases when consumers sat isfaction level is low with all of above factors.

    6.9.1.2 Coefficient of determination (R 2):

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    The R-squared of the regression is the fraction of the variation in your dependent

    variable that is accounted for (or predicted by) your independent variables. For this

    regression equation R-squared is 0.6057 so, 60.57% of variance in dependent variable

    can be explained by four independent variables.

    6.9.1.3 Significance Value for Hypothesis Testing (P):

    Now P values for the each independent variable is there in the regression table and if it is

    found to be less than 0.05 for each independent variable than the variable has significant

    relationship with the dependent variable. From the regression analysis it is found that BS

    (Satisfaction with Basic Services), VA (Satisfaction with VASs) and CO (Satisfaction

    with Convenience) have P value less than 0.05 so that all these three variables are

    significantly related to LO (Consumer Loyalty towards MSP). OS (Satisfaction with

    Other Services) has P value greater than 0.05 so, it has no significant relation with LO

    (Consumer Loyalty towards MSP).

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    6.9.2 Regression for Consumers Foster Recommendation of MSP to others as

    dependent variable and Satisfaction with Basic Services, Satisfaction with VASs,

    Satisfaction with Convenience, Satisfaction with Other Services as an independent

    variables.

    Regression output from Excel

    Regression Statistics

    Multiple R 0.812284

    R Square 0.659806

    Adjusted RSquare

    0.654427

    Standard Error 0.764168

    Observations 258

    ANOVA

    df SS MS F

    Regression 4 286.5412 71.6353 122.6731

    Residual 253 147.74 0.583953

    Total 257 434.2812

    Coefficients Standard Error

    t Stat P-value

    Intercept -2.74988 0.290949 -9.45142 2.37E-18

    BS 0.672167 0.078428 8.570469 1.03E-15

    VA 0.559605 0.070753 7.909287 8.06E-14

    CO 0.498385 0.067823 7.348315 2.77E-12

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    OS -0.11289 0.066643 -1.69396 0.091504

    6.9.2.1 Prediction Equation:

    The prediction equation is RE = -2.7498 + 0.6721 (BS) + 0.5596 (VA) + 0.4983 (CO) -

    0.1128 (OS)

    Where, RE=Consumers Foster Recommendation of MSP to others

    BS=Satisfaction with Basic services

    VA= Satisfaction with VASs

    CO= Satisfaction with Convenience

    OS= Satisfaction with Other Services

    telling you that RE is predicted to increase 0.6721 when the BS factor goes up by one,

    increase by 0.5596 when VA goes up by one, increase by 0.4983 when CO up by one,

    decrease by 0.1128 when OS goes up by one, and is predicted to be 0.21 which is

    equivalent to zero (0) when all factors rated as minimum that is 1 and also predicted to be

    5.33 which is equivalent to five (5) when all factors rated as maximum that is 5. So, it

    shows that Consumers Foster Recommendation of MSP to others increases when

    consumers satisfaction level is high with all of above factors except OS and Consumers

    Foster Recommendation of MSP to others decreases when consumers s atisfaction level

    is low with all of above factors.

    6.9.2.2 Coefficient of determination (R 2):

    The R-squared of the regression is the fraction of the variation in your dependent

    variable that is accounted for (or predicted by) your independent variables. For this

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    regression equation R-squared is 0.6598 so, 65.98% of variance in dependent variable

    can be explained by four independent variables.

    6.9.2.3 Significance Value for Hypothesis Testing (P):

    Now P values for the each independent variable is there in the regression table

    and if it is found to be less than 0.05 for each independent variable than the variable has

    significant relationship with the dependent variable. From the regression analysis it is

    found that BS (Satisfaction with Basic Services), VA (Satisfaction with VASs) and CO

    (Satisfaction with Convenience) have P value less than 0.05 so that all these three

    variables are significantly related to RE (Consumers Foster Recommendation of MSP to

    others). OS (Satisfaction with Other Services) has P value greater than 0.05 so, it has no

    significant relation with RE (Consumers Foster Recommendation of MSP to others ).

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    6.10 Hypothesis Testing with Regression: (After factor analysis)

    Here the variables are taken after the factor analysis. It means that new four

    factors extracted from factor analysis are taken for this regression analysis.

    6.10.1 Regression for Consumer Loyalty towards MSP as dependent variable

    and Satisfaction with Network Coverage, Satisfaction with Call Tariff,

    Satisfaction with Customized VASs, Satisfaction with Convenience as an

    independent variables.

    Regression output from Excel

    Regression Statistics

    Multiple R 0.793241

    R Square 0.629231

    Adjusted R Square 0.623369

    Standard Error 0.831982

    Observations 258

    ANOVA

    df SS MS F

    Regression 4 297.204 74.30101 107.3414

    Residual 253 175.125 0.692194

    Total 257 472.329

    CoefficientsStandard

    Error t Stat P-value

    Intercept -2.26292 0.309242 -7.31763 3.34E-12

    NC 0.326873 0.053634 6.094556 4.07E-09

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    The R-squared of the regression is the fraction of the variation in your dependent

    variable that is accounted for (or predicted by) your independent variables. For this

    regression equation R-squared is 0.6292 so, 62.92% of variance in dependent variable

    can be explained by four independent variables.

    6.10.1.3 Significance Value for Hypothesis Testing (P):

    Now P values for the each independent variable is there in the regression table

    and if it is found to be less than 0.05 for each independent variable than the variable has

    significant relationship with the dependent variable. From the regression analysis it is

    found that NC (Satisfaction with Network Coverage), CT (Satisfaction with Call Tariff),

    CV (Satisfaction with Customized VASs) and CO (Satisfaction with Convenience) have

    P value less than 0.05 so that all these four variables are significantly related to LO

    (Consumer Loyalty towards MSP).

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    6.10.2 Regression for Consumers Foster Recommendation of MSP to others as

    dependent variable and Satisfaction with Network Coverage, Satisfaction

    with Call Tariff, Satisfaction with Customized VASs, Satisfaction with

    Convenience as an independent variables.

    Regression output from Excel

    Regression Statistics

    Multiple R 0.813554

    R Square 0.661871

    Adjusted RSquare 0.656525

    Standard Error 0.761845

    Observations 258

    ANOVA

    df SS MS F

    Regression 4 287.438 71.85951 123.8086

    Residual 253 146.8432 0.580408

    Total 257 434.2812

    Coefficients

    Standard

    Error t Stat P-value

    Intercept -2.35395 0.283172 -8.31279 5.78E-15

    AVG-BS-1 0.213621 0.049112 4.349634 1.98E-05

    AVG-CT 0.389817 0.063669 6.12254 3.49E-09

    AVG-CVAS 0.460757 0.058971 7.813345 1.49E-13

    AVG-CO 0.480304 0.064268 7.473439 1.27E-12

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    6.10.2.1 Prediction Equation:

    The prediction equation is LO = -2.354 + 0.214 (NC) + 0.390 (CT) + 0.461 (CV) + 0.480

    (CO)

    Where, RE=Consumers Foster Recommendation of MSP to others

    NC=Satisfaction with Network Coverage

    CT= Satisfaction with Call Tariff

    CV= Satisfaction with Customized VASs

    CO= Satisfaction with Convenience

    telling you that RE is predicted to increase 0.214 when the NC factor goes up by one,

    increase by 0.390 when CT goes up by one, increase by 0.461 when CV up by one,

    increase by 0.480 when CO goes up by one, and is predicted to be 0.80 which is

    equivalent to one (1) when all factors rated as minimum that is 1 and also predicted to be

    5.37 which is equivalent to five (5) when all factors rated as maximum that is 5. So, it

    shows that Consumers Foster Recommendation of MSP to others increases when

    consumers satisfaction level is high with four of above factors and Consumers Foster

    Reco mmendation of MSP to others decreases when consumers satisfaction level is low

    with four of above factors.

    6.10.2.2 Coefficient of determination (R 2):

    The R-squared of the regression is the fraction of the variation in your dependent

    variable that is accounted for (or predicted by) your independent variables. For this

    regression equation our R-squared is 0.6618 so, 66.18% of variance in dependent variable

    can be explained by four independent variables.

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    6.10.2.3 Significance Value for Hypothesis Testing (P):

    Now P values for the each independent variable is there in the regression table

    and if it is found to be less than 0.05 for each independent variable than the variable has

    significant relationship with the dependent variable. From the regression analysis it isfound that NC (Satisfaction with Network Coverage), CT (Satisfaction with Call Tariff),

    CV (Satisfaction with Customized VASs) and CO (Satisfaction with Convenience) have

    P value less than 0.05 so that all these four variables are significantly related to RE

    (Consumers Foster Recommendation of MSP to others ).

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    7. RESEARCH & FINDINGS:

    Customers loyalty depends on Basic Services, Value Added Services and

    Convenience provided by the MSPs.

    Foster recommendation (positive word of mouth) by customers depends on Basic

    Services, Value Added Services and Convenience provided by the MSPs.

    Customers loyalty and foster recommendation (positive word of mouth) are

    depending on mainly four factors, i.e. Customized Value Added Services,

    Convenience, Network Coverage and Call Tariff.

    Mostly BSNL and Reliance users are using another MSP s services along with

    their main MSP.

    Mostly Vodafone, Airtel and Idea users are using only one MSP s services.

    Mostly Vodafone, Airtel and Idea users are satisfied with the service provided by

    their respective MSPs.

    Most of BSNL users are not satisfied with Network Coverage, VASs and

    Customer care services.

    Most of Reliance Mobile users are not satisfied with Network Coverage, Roaming

    Facilities and Customer care services.

    Custo mers satisfaction with Call Rates is significantly related with Family

    Income of Users.

    Customers satisfaction with Availability of Customer Store is significantly

    related with Age of users.

    Type of service opted by users is significantly related with occupation of users.

    More number of users is using Pre-paid service than Post-paid service.

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    8. CONCLUSION:

    We have studied the Indian telecom industry by concentrating on mobile service

    providers, and observed that there is high competition among the players in the industry.

    All the players are giving special offers and schemes as per the market conditions to

    maximize their subscriber base. Competition in telecom industry is heating up, now it s

    time for Indian telecom players to align up in the new dynamic business environment.

    Telco majors should think to launch the product according to the needs of customers to

    satisfy them and make them brand loyal as very soon this blue ocean of Indian telecom

    scenario will convert into Red Ocean where the loss of one is the gain of other.

    According to the results, the most important determinant for consumers satisfaction a ndtheir foster recommendation (positive word of mouth) to others are Customized VASs,

    Convenience, Network Coverage and Call tariff.

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    9. BIBLIOGRAPHY:

    9.1 References:

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    Mobile VAS in India, 2007

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    F0757A565F9A6CBAC8800F658?contentType=Article&hdAction=lnkhtml&co

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    Kumar, Kaliyamoorthy, Influence of Demographic Variables on Marketing

    Strategies in the Competitive Scenario, 2007

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    Seth et, Etal, Managing the Customer Perceived Service Quality for Cellular

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