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Transcript of Report Iifl
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Study on Customer satisfaction towards the services
Provided by India Infoline in pune
In partial fulfillment of the requirement for
Post Graduate Diploma in Management (PGDM)
Submitted by :
Under the supervision of:
Indira School of Business Studies
Mumbai-pune old highway
Tathawade, pune
Maharashtra
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Study on Customer satisfaction towards the services provided by
India Infoline with special reference to Pune office
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Certificate of Approval
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Declaration
I do hereby declare that the project work entitled A study
on Customer Satisfaction towards the service provided by India Infoline in Pune region
submitted for the partial fulfillment for Post Graduate Diploma in Management (PGDM) of
Indira School of Business Studies.
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Acknowledgement
The satisfaction of the successful completion if of any task wouldnt be complete without the
expression of gratitude to the people who made it possible.
I express my gratitude to Mr. NILESH DHORE (franchisee manager) India infoline Ltd. for his
support and guide during the survey.
I am very thankful to Mr. ANITA KSHETRI, sip guide Indira School of Management, pune for
the guidance and interest evinced throughout the preparation of this project.
I also extended my heartfelt gratitude and thanks to Dr. RENU BHARGAV, Director, Indira
School of Business Studies.
I take this opportunity, also to express my love and sincere thanks to my family members and
friends for their support and advice during various stage of work.
I also extend my gratitude to the respondents of my survey for their kind co-operation.
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But last not least I thank God almighty for giving me the support for the completion of the Task.
EXECUTIVE SUMMARY
The title of the Project done at India Infoline Limited is A Study on customer satisfaction
towards the services provided by India Infoline in pune region.
The main objective of the study was to study the satisfaction level of brokerage, to
understand the satisfaction level of clients with India Infoline regarding tip, to understand the
satisfaction level of clients with India Infoline regarding trade confirmation, to study the
satisfaction level of flexibility provided by India Infoline, to understand the satisfaction level of
clients with India Infoline regarding service provided by staff, to study the overall satisfaction
level.
The type of research was exploratory research. The sampling used in this method is
convenience sampling method. The sources of the data for the study were primary and secondary
data. The questionnaire was prepared and administrated to collect and relevant primary data .the
data collection method was based on questionnaire.
The findings are there is a low positive correlation between brokerage and overall
satisfaction between tips and overall satisfaction and between flexibility and overall satisfaction.
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There is a moderate positive correlation between consumer support service and overall
satisfaction, speed of service and overall satisfaction between clarity of information and overall
satisfaction.
TABLE OF CONTENTS
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CHAPTER I
INTRODUCTION
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Chapter 1
Introduction
1. Introduction
Theoretical prospective
Industry profile
Company profile
Strategies of marketing
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INTRODUCTION
Customer satisfaction is a measure of how products and services supplied by a company can
meet the customers expectations.
Customer satisfaction is still one of the single strongest predictors of customer retention.
Its considerably more expensive to attract new customer than it is to keep old ones happy. In a
climate of decreasing brands loyalties, understanding customer service and measuring customer
satisfaction very crucial.
There is obviously a strong link between customer satisfaction and customer retention.
Customers perception of service and quality product will determine the success of the product
or service in the market.
With better understanding of customers perceptions, companies can determine the
actions required to meet the customers need. They can identify their own strengths andweakness, where they stand in comparison to their competitors, chart out path future progress
and improvement. Customer satisfaction measurement helps to promote an increased focus on
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customer outcomes and stimulate improvements in the work practices and processes used within
the company.
Customer expectations are the customer-defined attributes of your product or service you must
meet or exceed to achieve customer satisfaction.
There are many reasons why customer expectations are likely to change over time. Process
improvements, advent of new technology, changes in customers priorities, improved quality of
service provided by competitors are just a few examples.
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INDUSTRY PROFILE
INDUSTRY PROFILE
The Indian broking industry is one of the oldest trading industries that have been around even
before the establishment of the BSE in 1875. Despite passing through number of changes in the
post liberalization period, the industry has found its way onwards sustainable growth. With the
purpose of gaining a deeper understanding about the role of the Indian stock broking industry in
the countrys economy, we present in this section some of the industry insights gleaned from
analysis of data received through primary research.
For the broking industry, we started with an initial database of over 1,800 broking firms
that were contacted, from which 464 responses were received. The list was further short listed
based on the number of terminals and the top 210 were selected for profiling. 394 responses,
that provided more than 85% of the information sought have been included for this analysis
presented here as insights. All the data for the study was collected through responses received
directly from the broking firms. The insights have been arrived at through an analysis on
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various parameters, pertinent to the equity broking industry, such as region, terminal, market,
branches, sub brokers, products and growth areas.
Some key characteristics of the sample 394 firms are:
On the basis of geographical concentration, the West region has the maximumrepresentation of 52%. Around 24% firms are located in the North, 13% in the South and
10% in the East
3% firms started broking operations before 1950, 65% between 1950-1995 and 32% post
1995.
On the basis of terminals, 40% are located at Mumbai, 12% in Delhi, 8% in Ahmedabad,
7% in Kolkata, 4% in Chennai and 29% are from other cities
From this study, we find that almost 36% firms trade in cash and derivatives and 27% are
into cash markets alone. Around 20% trade in cash, derivatives and commodities
In the cash market, around 34% firms trade at NSE, 14% at BSE and 52% trade at both
exchanges. In the derivative segment, 48% trade at NSE, 7% at BSE and 45% at both,
whereas in the debt market, 31% trade at NSE, 26% at BSE and 43% at both exchanges
Majority of branches are located in the North, i.e. around 40%. West has 31%, 24% are
located in South and 5% in East
In terms of sub-brokers, around 55% are located in the South, 29% in West, 11% in
North and 4% in East
Trading, IPOs and Mutual Funds are the top three products offered with 90% firms
offering trading, 67% IPOs and 53% firms offering mutual fund transactions
In terms of various areas of growth, 84% firms have expressed interest in expanding their
institutional clients, 66% firms intend to increase FII clients and 43% are interested in
setting up JV in India and abroad
In terms of IT penetration, 62% firms have provided their website and around 94% firms
have email facility
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A BRIEF HISTORY
India infoline was originally incorporated by on October 18, 1995 as probity Research and
Services Private limited at Mumbai under the companies Act, 1956 with registration no. 11
93797. India Infoline commenced operations as an independent provider of information, analysis
and research covering Indian businesses, financial markets and Economy, to institutional
customers. India Infoline became a public limited company on April 28, 2000 and later to India
Infoline Limited on March 23, 2001.
In 1999, India Infoline.com identified the potential of the internet to cater to a mass retaisegment and transformed our business model from providing information services to
institutional customers to retail customers. Hence India infoline launched internet portal,
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www.indiainfoline.com in May 1999 and started providing news and market information,
independent research, interviews with business leaders and specialized features.
In May 2000, the name of India Infoline was changed to Indiainfoline.com Limited to
reflect the transformation of our business. Over a period of time, Indiainfoline.com has emerged
as one of the leading business and financial information service provider in India.
In the year 2000, India Infoline leveraged its position as a provider of financial
information and analysis by diversifying into transactional services, primarily for online trading
in shares and securities and online as well as offline distribution of personal financial products,
like mutual funds and RBI Bonds. These activities were carried on by our wholly owned
subsidiaries.
India Infoline broking services was launched under the brand name of 5paisa.com
through our subsidiary, India Infoline Securities Private Limited and www.5paisa.com, the e-
broking portal, was launched for online trading in July 2000. It combined competitive brokerage
rates and research, supported by Internet technology besides investment advice from an
experienced team of research analysts, India Infoline also offer real time stock quotes, market
news and price charts with multiple tools for technical analysis.
Facilities
India Infolines main offices are located in approximately 4,000 square feet of office
space located in Mumbai, India. India Infoline Branches collectively occupy an additional
10,000 square feet of office space located throughout India, As on March 31, 2005, India
Infoline has 73 branches across 36 locations in India.
Terminals
http://www.indiainfoline.com/http://www.indiainfoline.com/ -
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Almost 52% of the terminals in the sample are based in the Western region of India,
followed by 25% in the North, 13% in the South and 10% in the East. Mumbai has got the
maximum representation from the West, Chennai from the South, New Delhi from the North
and Kolkata from the East.
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REVIEW OF LITERATURE
Literature Review
In this 21st century the digital revolution has transformed the economy in to a new
economy which empowered the customer with new set of capabilities such as; 1.Access to
greater amount of information, 2.Wider variety of available good and services 3.Greater ease of
interacting with the service provider.
This new capability in the new economy led the customer to market the marketing and
plays a very vital role in the growth of the market. It is essential in the service industry in
particular, place greater emphasis on the enablers leading to customer satisfaction and customer
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retention. It is in this context is very important to understand the customer requirements to
provide value-(QSP - Quality, Service and Price) and track and manage the customer satisfaction
for retention and creation of new customers.
In Service industry it is not enough if the product meets the functional requirements ofthe customer, it should also meet certain other customer expectations like the behaviors/attitude
of the person who provides service. The customer satisfaction is the combination of both
technical features & human behavioural aspects. The quality management only addresses the
systems and processes; service addresses the customer service independently. In todays new
economy, it is essential to address the enablers for customer satisfaction for business growth
with utmost importance as they are interdependent in nature.
Customer satisfaction
Customer satisfaction can be represented as follows.
Customer satisfaction=Performance Features + Behavioural Features + Price.
Performance features address the issues on Conformance to the standards and Variability
and the behavioural aspects of service provider deals with the following components of service
which is a major enabler for the growth of the business as indicated in the research publications.
If customer experience matches customer expectations, leads to customer satisfaction and
if customer experience doesnt match Customer Expectation, leads to Customer dissatisfaction.
On similar lines if it exceeds expectation leads to Customer Delight.
The title of Article is Does customer satisfaction lead to profitability?
Author(s): Timothy L. Keiningham, Tiffany Perkins-Munn, Lerzan Aksoy.
Publisher: Emerald Group Publishing Limited
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Purpose Many researchers have proposed a virtuous chain of effects from improved customer
satisfaction to profits. In particular, satisfaction is thought to improve share-of-spending, which
in turn leads to higher customer revenue and customer profitability. This paper aims to examine
these proposed linkages using data from the institutional securities industry.
OBJECTIVES
1. To study the satisfaction level of brokerage.
2. To understand the satisfaction level of clients with India Infoline regarding tips.
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3. To understand the satisfaction level of clients with India Infoline regarding trade
confirmation.
4. To study the satisfaction level of flexibility provided by India Infoline.
5. To understand the satisfaction level of clients with India Infoline regarding service
provided by staff.
6. To study the overall satisfaction level.
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RESEARCH METHODOLOGY
Type of Research Exploratory Research.
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The research design is usually conducted during the initial stage of the research process. The
preliminary activities undertaken to refine the problem into a researchable one need not be
formal or precise. The purpose of the exploratory research process is to progressively narrow the
scope of the research topic and to transform discovered problems into defined ones,
incorporating specific research objectives.
Sample design
Sampling design The sampling method adopted for research work was Convenience
sampling method.
Sample size - The sample selected was 300. The data collection method was based on the
following:
Sampling Unit Professional
Variables of the Study
Dependent Variable Overall satisfaction
Independent Variable Brokerage, Tips, Trade confirmation, Flexibility, Customer support,Speed of service, Clarity of information, Time taken to respond to telephone enquiries, staff
treating as a valuable customer.
Method of Data collection
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The sources of the data for the study were primary data. The questionnaire was prepared and
administered to collect the relevant primary data. The data collection method was based on
Questionnaire and Observation.
Method of analysis of data
Data collected through questionnaires is analyzed using techniques and association test. It is
done through correlation analysis, chi square test, Skewness, Kurtosis.
Correlation refers to the relationship between two or more variables. Here we can find out
independent variables like Brokerage, Tips, Trade confirmation, Flexibility, Customer support,
Speed of service, Clarity of information, Time taken to respond to telephone enquiries, staff
treating as a valuable customer and dependent variable is overall satisfaction.
Skewness denotes the symmetry of distribution. Skewness may be either positive or negative.
When mean = median = mode that represents symmetry of distribution. When the Skewness
value is zero, it also represents symmetry of distribution.
Kurtosis indicates whether the distribution is more flat of or more peaked then the normal
distribution. A measure of kurtosis is there for a measure of peakedness. When the value of
kurtosis is 3, we can apply z test, t test and any other test.
As a non-parametric test chi square is used for
1. Testing the goodness of fit between observed and accepted frequency.2. Testing the independent of two attributes.
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DATA ANALYSIS, RESULTS AND INTERPRETATION
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1. Correlation between Customer Satisfaction and Brokerage
Overall
Satisfaction Brokerage
Overall Satisfaction Pearson Correlation 1 .401(**)
Sig. (2-tailed)
. .000
N
300 300
Brokerage Pearson Correlation .401(**) 1
Sig. (2-tailed).000 .
N
300 300
** Correlation is significant at the 0.01 level (2-tailed).
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and brokerage. (.401) and also have level of significance less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution.
Statistics
Overall satisfaction Brokerage
Skewness
Std Error of Skewness
Kurtosis
Std Error of Kurtosis
-.919
.141
-.149
.281
-1.077
.141
.005
.281
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Here, we can see that maximum number of clients i.e., 186 clients are satisfied with the service
provided by India Infoline regarding brokerage charged, while in the otherhand only 26 clients
are dissatisfied with the brokerage charged.
Test Statistics
Overall
Satisfaction Brokerage
Chi-
Square(a,b)296.367 130.160
Df 4 2
Asymp. Sig. .000 .000
A 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
B 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 100.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternatehypothesis.
2. Correlation between Customer Satisfaction and Tips
Overall
Satisfaction Tips
Overall Satisfaction Pearson Correlation 1 .456(**)
. .000
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Sig. (2-tailed)
N
300 300
Tips Pearson Correlation .456(**) 1
Sig. (2-tailed)
.000 .
N
300 300
** Correlation is significant at the 0.01 level (2-tailed).
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and tips. (.456) and also have level of significance less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution
Statistics
Overall
satisfaction
Tips
Skewness
Std Error of Skewness
Kurtosis
Std Error of Kurtosis
-.919
.141
-.149
.281
-.162
.141
.977
.281
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Here, we can see that maximum number of clients i.e., 113 clients are neither satisfied nor
dissatisfied with the service provided by India Infoline regarding tips (Intraday, Delivery,
Investment), while in the otherhand we can see that 94 clients are satisfied with the service
provided, and 86 clients are dissatisfied with the service provided.
Test Statistics
Overall
Satisfaction Tips
Chi-Square(a) 296.367 183.967
Df 4 4
Asymp. Sig. .000 .000
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternate
hypothesis.
3. Correlation between Customer Satisfaction and Trade confirmation
Overall
Satisfaction
Trade
Confirmation
Overall Satisfaction Pearson Correlation 1 .551(**)
Sig. (2-tailed)
. .000
300 300
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N
Trade Confirmation Pearson Correlation .551(**) 1
Sig. (2-tailed)
.000 .
N
300 300
** Correlation is significant at the 0.01 level (2-tailed).
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and trade confirmation. (.551) and also have level of significance less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution.
Statistics
Overall
satisfaction
Trade
confirmation
Skewness
Std Error of SkewnessKurtosis
Std Error of Kurtosis
-.919
.141-.149
.281
-.875
.141
.222
.281
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Here, we can see that maximum number of clients i.e., 61% of the clients are satisfied with the
service provided by India Infoline regarding trade confirmation, while in the otherhand we can
see that 14% of the clients are dissatisfied with the service provided.
Test Statistics
Overall
Satisfaction
Trade
Confirmation
Chi-
Square(a,b)296.367 236.133
Df 4 3
Asymp. Sig. .000 .000
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
b 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 75.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternate
hypothesis.
4. Correlation between Customer Satisfaction and Flexibility
Overall
Satisfaction Flexibility
Overall Satisfaction Pearson Correlation 1 .541(**)
Sig. (2-tailed)
. .000
N
300 300
Flexibility Pearson Correlation .541(**) 1
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Sig. (2-tailed)
.000 .
N
300 300
** Correlation is significant at the 0.01 level (2-tailed).
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and flexibility. (.541) and also have level of significance less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution.
Statistics
Overall
satisfaction
Flexibility
Skewness
Std Error of Skewness
Kurtosis
Std Error of Kurtosis
-.919
.141
-.149
.281
-.776
.141
.419
.281
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Here, we can see that maximum number of clients i.e., 52% of the clients are satisfied with the
service provided by India Infoline regarding flexibility, while in the otherhand we can see that
16% of the clients are dissatisfied by the service provided.
Test Statistics
Overall
Satisfaction Flexibility
Chi-Square(a) 296.367 286.700
Df 4 4
Asymp. Sig. .000 .000
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternate
hypothesis.
5. Correlation between Customer Satisfaction and Customer support
Overall
Satisfaction
Customer
Support
Overall Satisfaction Pearson Correlation 1 .692(**)
Sig. (2-tailed)
. .000
N
300 300
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Customer Support Pearson Correlation .692(**) 1
Sig. (2-tailed)
.000 .
N
300 300
** Correlation is significant at the 0.01 level (2-tailed).
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and Customer support. (.692) and also have level of significance less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution.
Statistics
Overall
satisfaction
Customer
support
Skewness
Std Error of Skewness
Kurtosis
Std Error of Kurtosis
-.919
.141
-.149
.281
-.894
.141
.075
.281
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Here, we can see that maximum number of clients i.e., 53% of the clients are satisfied with the
service provided by India Infoline regarding customer support, while in the otherhand we can
see that 16% of the clients are dissatisfied with the service provided.
Test Statistics
Overall
Satisfaction
Customer
Support
Chi-Square(a) 296.367 266.767
Df 4 4
Asymp. Sig. .000 .000
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternate
hypothesis.
6. Correlation between Customer Satisfaction and Speed of service
Overall
Satisfaction
Speed of
Service
Overall Satisfaction Pearson Correlation 1 .893(**)
Sig. (2-tailed)
. .000
N
300 300
Speed of Service Pearson Correlation .893(**) 1
Sig. (2-tailed)
.000 .
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N
300 300
** Correlation is significant at the 0.01 level (2-tailed).
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and speed of service. (.893) and also have level of significance less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution.
Statistics
Overall
satisfaction
Speed of
service
Skewness
Std Error of Skewness
Kurtosis
Std Error of Kurtosis
-.919
.141
-.149
.281
-.723
.141
.512
.281
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Here, we can see that maximum number of clients i.e., 51% of the clients are satisfied with the
service provided by India Infoline regarding speed of service, while in the otherhand we can see
that 20% of the clients are dissatisfied with the service provided.
Test Statistics
Overall
Satisfaction
Speed of
Service
Chi-Square(a) 296.367 239.367
df 4 4
Asymp. Sig. .000 .000
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternate
hypothesis.
7. Correlation between Customer Satisfaction and clarity ofinformation
Overall
Satisfaction
Clarity of
information
Overall Satisfaction Pearson Correlation 1 .694(**)
Sig. (2-tailed)
. .000
N
300 300
Clarity of information Pearson Correlation .694(**) 1
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Sig. (2-tailed)
.000 .
N
300 300
** Correlation is significant at the 0.01 level (2-tailed)
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and clarity of information. (.694) and also have level of significance less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution.
Statistics
Overall
satisfaction
Clarity of
information
Skewness
Std Error of Skewness
Kurtosis
Std Error of Kurtosis
-.919
.141
-.149
.281
-.469
.141
.627
.281
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Here, we can see that maximum number of clients i.e., 125 clients are satisfied with the service
provided by India Infoline regarding clearity of information, while in the othernhand we can see
that 64 clients are dissatisfied with the service provided.
Test Statistics
Overall
Satisfaction
Clarity of
information
Chi-Square(a) 296.367 187.267
df 4 4
Asymp. Sig. .000 .000
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternate
hypothesis.
8. Correlation between Customer Satisfaction and time taken torespond to telephone enquiries
Overall
Satisfaction
Time taken to
respond to
telephone
enquiries
Overall Satisfaction Pearson Correlation 1 .562(**)
Sig. (2-tailed)
. .000
N
300 300
Time taken to respond to Pearson Correlation .562(**) 1
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telephone enquiries
Sig. (2-tailed)
.000 .
N
300 300
** Correlation is significant at the 0.01 level (2-tailed).
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and time taken to respond to telephone enquiries. (.562) and also have level of
significance less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution.
Statistics
Here, we can see that maximum number of clients i.e., 153 clients are satisfied with the service
provided by India Infoline regarding respond to telephone, while in the otherhand only 49 clients
are dissatisfied with the service provided.
Test Statistics
Overall
satisfaction
Time taken to respond to
telephone enquiries
Skewness
Std Error of Skewness
Kurtosis
Std Error of Kurtosis
-.919
.141
-.149
.281
-.653
.141
.423
.281
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Overall
Satisfaction
Time taken to
respond to
telephone
enquiries
Chi-Square(a) 296.367 262.933
df 4 4
Asymp. Sig. .000 .000
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternate
hypothesis.
9. Correlation between Customer Satisfaction and staff treating as a valuablecustomer
Overall
Satisfaction
Staff Treating as
a valuable
customer
Overall Satisfaction Pearson Correlation 1 .608(**)
Sig. (2-tailed)
. .000
N
300 300
Staff Treating as a
valuable customer
Pearson Correlation .608(**) 1
Sig. (2-tailed)
.000 .
300 300
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N
** Correlation is significant at the 0.01 level (2-tailed).
INFERENCE: - The above table shows a moderate positive correlation between customer
satisfaction and staff treating as a valuable customer. (.608) and also have level of significance
less than .05
Goodness of fit test- goodness of fit of the above test can do with a nonparametric test chi square
because the distribution is not normal distribution.
Statistics
Here, we can see that maximum number of clients i.e., 162 clients are satisfied with the service
provided by the staff (as a valuable customer) by India Infoline, while in the otherhand we can
see that 46 clients are dissatisfied with the service provided by the staff people.
Test Statistics
Overall
satisfaction
Staff treating as a
valuable customer
Skewness
Std Error of Skewness
Kurtosis
Std Error of Kurtosis
-.919
.141
-.149
.281
-.769
.141
.149
.281
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Overall
Satisfaction
Staff Treating as
a valuable
customer
Chi-Square(a) 296.367 308.667
df 4 4
Asymp. Sig. .000 .000
a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 60.0.
According to the above table calculated chi square value is greater than table value and
significant at less than .05 so we no accept the null hypothesis hence we accept the alternate
hypothesis.
% clients according to gender group:
Male Female
245 55
Out of the total clients visited i.e., 82% belongs to male category and 18% belongs to female
category.
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% Clients with different age group:
20-30 31-40 ABOVE 40
117 181 2
Out of the total clients visited, majority i.e., 60% belongs to 31 years to 40 years age group,
followed by 20 years to 30 years age group which comprises of 39% of the clients visited, and
the leftover clients i.e., 1% (the least %) belongs to above 40 years age group.
% Clients with different occupation:
Professional Businessman Retired Student others
220 62 0 4 14
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Out of the total clients, majority i.e., 73% are professional. Followed by businessman, which
comprises of 21%? 1% are students, 4% belongs to other category (like housewife, etc.), and
retired is 0 i.e., nil.
% Customer connected to India Infoline as:
Demate a/c holder Commodities a/c holder Mutual fund customer Insurance
300 0 0 0
Here we can see that all the clients visited, (100%) are connected to India Infoline as a Demat
A/c holder, rather than giving any weightage to other financial products (like Commodities A/C,
Mutual fund, Insurance).
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% Customer connected to India Infoline since:
Less then 6 months 6 months - 1 Year 1-2 year More then 2 year
26 60 187 27
The maximum number of clients i.e., 62% of the total clients are connected to India Infoline
since 1-2 years, followed by 20% connected since 6 months to 1 year and the least 9% in more
than 2 years as well as less than 6 months.
% Customer gathering information/ awareness about trading from different
sources:
TV Newspaper Friend Financial Advisor Others
58 15 43 37 147
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Out of the total clients, majority i.e., 49% of clients gather information about trading from the
sources like mail, some web-sites (moneycontrol.com, bloomberg, dnaindia.com),etc. Followed
by 19% which gather information from television,15% from friends, 12% from financial
advisor, and the rest 5% from newspaper.
Main objectives of investment in Equities and Mutual funds of % customer:
Risk Return Tax Benefit Capital Appreciation Safety
Liquidit
y Other
0 263 0 18 0 19 0
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Maximum customers invest in Equities and Mutual funds for getting a good return, which is
obvious from the chart shown above.Here, we can see that mojority of the clients visited i.e.,
88% invest in equities for good return.6% for liquidity and rest 6% for capital appreciation.
Number of clients giving more weightage to the tips coming from:
Relationship manager TV
India Infoline TT Advance
tips Others
66 49 152 33
Out of the total number of clients visited, maximum i.e., 51% give more weightage to the tips
coming from India Infoline TT Advance tips. 22% of the client goes with the tips coming from
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Relationship Manager, 16% goes with the tips coming from television, and rest 11% goes with
the tips coming from some other sources.
FINDINDS, SUGGESTION AND
CONCLUSION
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Findings & Conclusion
Findings
Conclusion
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FINDINGS
There is low positive correlation between brokerage and overall satisfaction.
There is low positive correlation between tips and overall satisfaction.
There is a moderate positive correlation between customer support service and overall
satisfaction.
There is low positive correlation between flexibility and overall satisfaction.
There is a moderate positive correlation between speed of service and overall
satisfaction.
There is a moderate positive correlation between Clarity of information and overall
satisfaction.
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CONCLUSION
The company should come up with innovative ways of service at their door steps
this may be a costly affair but will surely give positive results in the long run.
The company should take the initiative of training the advisors about the trading
from time to time which also makes the advisors connected to the company.
The company should focus on the advertising strategy and also the marketing of
the product.
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LIMITATIONS OF THE STUDY
As the data will be collected through questionnaire, there are chances of biased
information provided by the respondent.
Heterogeneity among the respondents.
Inability to respond to the questionnaire due to lack of time.
The study is confined to the existing customers of INDIA INFOLINE LTD only.
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RECOMMADATIONS
The suggestion is the Small investors prefer most economical fee on trading and prefers
negotiations therefore the company should offer services and fee structure keeping in
mind such customers if they add significantly to bottom line.
Lack of communication and advisories happen when relationship manager moves out of
the organization and this has to be checked so that the customer doesnt migrate to other
brokerage companies.
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LIST OF TABLES