INTRODUCTION:The post office saving schemes basically started for rural area development motive, now days the peoples are lagging to save in post office because of other saving banks & more schemes are available in our country with high interest to pay the people, so this study analysis about customers perception to saving in post office. Perception means different type of people think differently in the same situation, this study reveals about the customer’s perceptions, expectations, thoughts, behavior and their activities towards post office saving scheme. Post Office Saving is the best form of savings schemes which provide substantially lesser risks of suffering losses. Therefore, wherever you go the same schemes are available through the India, So wherever the customer’s go which makes easy adaptability. They are widely accepted among the different sections of the Indian society and among the different age groups. The post office time deposits scheme fall under the category of fixed deposits and available at all the post offices throughout India. The investors are not entitled to receive any amount towards interests on a monthly basis but receive a lump sum amount as interest when the scheme matures. The interest rate in case of these schemes is directly proportional to the tenure of the scheme. The minimum amount required to start the post office time deposits scheme is only Rs. 200 but there is no set limit for the maximum amount. The scheme allows nomination facility and the tenure of the scheme ranges from 1-5 years. The rate of interest varies according to the tenure of deposit.
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STATEMENT OF THE PROBLEM:Post office saving schemes is safety, and it has 8 types of schemes available in post office. But the peoples are not willing to save in post office, the reasons are customers facing some problems example money transfer, create new account, close the account and change the nominee’s names. Post office had two insurance schemes. This study helps to find the usefulness level to the customer’s.
NEED FOR THE STUDY:To know the customer perception in the post office saving scheme, it contains different type of customer’s satisfaction level, their expectations and interest. What kind of problems customers facing in post office. To know the customers age, annual income, gender, and scheme type, this is the need to this study.
OBJECTIVES OF THE STUDY:➢ To understand the perception of investors in the post office saving schemes ➢ To study about investors expectation from the post office schemes ➢ The problems faced by the customers of post office saving schemes ➢ To study the satisfaction level of customers in post office scheme ➢ To give few suggestion to increase more customers in post office schemes
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SCOPE OF THE STUDY:The main purpose for this study finding the rural area development by the post office saving schemes, The post office saving is widely known and adopted mechanism by a large section of people in India. Its outreach has been continuously increasing both in terms of number of accounts as well as number of branches especially in rural areas. Its strength lies in its reputation as a government of India’s institutions and other multiple services with standardized across India. This study helps to find their perception, attitude, saving pattern and the satisfaction level towards post office saving customers.
LIMITATION OF THE STUDY:1. Time is limiting factor 2. Respondents bias 3. Restricted to Vellore city
4. Peoples didn’t show the interest to fill the questionnaires
COMPANY PROFILE:The Indian Postal Service, with 155,333 post offices, is the most widely distributed post office system in the world. The large numbers are a result of a long 4
tradition of many disparate postal systems which were unified in the Indian Union postIndependence. Owing to this far-flung reach and its presence in remote areas, the Indian postal service is also involved in other services such as small savings banking and financial services.
POST OFFICE SAVINGS BANK AND RURAL CUSTOMERS:Post offers following eight savings schemes: 1) Saving Account Scheme: It is a basic saving instrument to the people with multiple deposit and withdrawal facilities. 2) Time (Term) Deposit Scheme: These are fixed deposit schemes starting with as low as Rs. 200. The periods available for time deposits are 1, 2, 3 and 5 years. Premature withdrawals are permissible with penalty after completion of six months. 3) Recurring Deposit Scheme:
This is a five year scheme launched in the year 1972 with an objective to bring women under savings net. Keeping in view the women’s strong inclination towards saving, this scheme was designed and popularized especially in rural areas. In this scheme a person can start saving with Rs. 10 per month, premature closure of accounts is permissible with penalty after completion of three years.
4) Monthly Income Scheme:
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This is a lump sum deposit scheme targeting retired persons who expect monthly income flow. The minimum deposit is Rs. 1,000 and the maximum is Rs. 300,000 with a lock in period of six years. 5) National Savings Certificate:
This is tax-exempt certificate with a minimum contribution of Rs. 100 and no maximum limit. Interest is compounded six monthly and payable at maturity. Kisan Vikas Patra: It is a certificate, which doubles the deposit over a certain period depending on prevalent interest rates. There is no maximum limit on investment. Premature encashment is not permissible except in case of death of the holder. 6) Public Provident Scheme: This is a fifteen-year scheme with a minimum deposit of Rs. 100 and a maximum annual deposit of Rs. 70,000. Withdrawals are possible after the fifth year and a loan facility (up to 40 %) is available after completion of one year. 7) Senior Citizens Savings Scheme: This scheme is designed for Government employees aged above 60 years or who is 55 years and has taken Voluntary Retirement Scheme
ANALYSIS OF SCHEME WISE NUMBER OF ACCOUNTS AND SAVINGS
6
Sl. No
1 2 3
4
5
6
7
Total
Name of savings scheme
No. of per cent Total accounts share Deposit (Millions) (Rs. Trillions)
per cent Average share savings (Rs)
Savings Accounts
64.34
37.32
185.64
5.28
2,885
Recurring Deposit
67.02
38.88
602.3
17.13
8,987
Time (Term) Deposit
12.43
7.21
367.12
10.44
29,535
Monthly Income Scheme
24.92
14.46
1,894.39
53.89
76,019
National Saving Certificate
0.81
0.47
48.6
1.38
60,000
Public Provident Scheme
2.11
1.22
194.56
5.53
92,209
Sr. Citizen Scheme 0.75
0.44
222.84
6.34
297,120
100.00
3,515.45
100
20,394
172.38
Post Office is the oldest formal institution offering saving services to people in India. It has an extensive network geographically covering entire country. The network of post office branches is the main strength of POSB and has the potential to bring about 7
financial inclusion. The study focused on the people’s perception on Post Office savings and savings mobilizations strategies in this context. The image of post office as the oldest institution run by government is the biggest motive for people to save in the postal savings instruments. Their trust is high in rural areas where safety of the deposit money is more important issue than the returns on investments. Second important learning’s from the people’s point of view are the simplicity of the schemes / products features.
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FIELD OF THE STUDY:The study was restricted to the customer’s of post office at Gudiyatham and Vellore. 9
RESEARCH DESIGN:Research design `deals with a logical problem and not a logistical problem'. Before a builder or architect can develop a work plan or order materials they must establish the type of building required, its uses and the needs of the occupants. Similarly, in social research the issues of sampling, method of data collection.
TYPES OF RESEARCH DESIGN:1. Descriptive Research methodology 2. Explanatory Research methodology
Descriptive Research Methodology:➢ In this study descriptive design was adopted Descriptive research, also known as statistical research, describes data and characteristics about the population or phenomenon being studied. Descriptive research answers the questions who, what, where, when and how...
SAMPLING DESIGN:A sample is a finite part of a statistical population whose properties are studied to gain information about the whole. When dealing with people, it can be defined as a set of respondents (people) selected from a larger population for the purpose of a survey.
TYPES OF SAMPLING DESIGN:10
1. Probability sampling design 2. Non probability sampling design
Meaning of Probability Sampling:A probability sampling method is any method of sampling that utilizes some form of random selection. In order to have a random selection method, you must set up some process or procedure that assures that the different units in your population have equal probabilities of being chosen. Humans have long practiced various forms of random selection, such as picking a name out of a hat, or choosing the short straw. These days, we tend to use computers as the mechanism for generating random numbers as the basis for random selection.
THE RANDOM SAMPLE:This may be the most important type of sample. A random sample allows a known probability that each elementary unit will be chosen. For this reason, it is sometimes referred to as a probability sample. This is the type of sampling that is used in lotteries and raffles. For example, if you want to select 10 players randomly from a population of 100, you can write their names, fold them up, mix them thoroughly then pick ten. In this case, every name had any equal chance of being picked. Random numbers can also be used (see Lapin page 81).
A SIMPLE RANDOM SAMPLE:In this study simple random sampling was adopted.
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A simple random sample is obtained by choosing elementary units in search a way that each unit in the population has an equal chance of being selected. A simple random sample is free from sampling bias. However, using a random number table to choose the elementary units can be cumbersome. If the sample is to be collected by a person untrained in statistics, then instructions may be misinterpreted and selections may be made improperly.
SOURCE OF DATA:Primary Source:Primary source is a term used in a number of disciplines to describe source material that is closest to the person, information, period, or idea being studied. In the study of history as an academic discipline, a primary source (also called original source or evidence) is an artifact, a document, a recording, or other source of information that was created at the time under study.
Secondary Data :Secondary details data collected by someone other than the user. Common sources of secondary data for social science include censuses, surveys, organizational records and data collected through qualitative methodologies or qualitative research. Primary data, by contrast, are collected by the investigator conducting the research. ➢ In this study both data method was adopted.
TOOL OF DATA COLLECTION:-
Purpose of Questionnaires:-
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The questionnaire (also called survey) is a set of questions given to a sample of people. The purpose is to gather information about the people’s attitudes, thoughts, behaviors, and so forth. The researchers compile the answers of the people in the sample in order to know how the group as a whole thinks or behaves.
Closed Ended Questions:-
Respondents’ answers are limited to a fixed set of responses. Most scales are closed ended. Other types of closed ended questions include: ➢ Yes/no questions - The respondent answers with a “yes” or a “no”. ➢ Multiple choices - The respondent has several options from which to choose. ➢ Scaled questions - Responses are graded on a continuum.
Open Ended Questions:No options or predefined categories are suggested. The respondent supplies their own answer without being constrained by a fixed set of possible responses. Examples of types of open ended questions include:
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ANALYSIS OF DATA:1. Correlation 2. Chi-square 3. One way ANOVA 4. T test
CORRELATION:➢ A reciprocal relation between two or more things ➢ Correlation coefficient: a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation); "what is the correlation between those two variables?"
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➢ A statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other.
Definition & Formula to Correlation:N∑xy-(∑x) (∑y) R= ………………………………….. √{N∑x2-(∑x)2}{N∑y2-(∑y)2}
N
= number of pairs of scores
∑xy
=sum of the products of paired scores
∑x
= sum of x scores
∑y
=sum of squared x scores
∑x
= sum of squared y scores
Correlation is a statistical measurement of the relationship between two variables. Possible correlations range from +1 to –1. A zero correlation indicates that there is no relationship between the variables. A correlation of –1 indicates a perfect negative correlation, meaning that as one variable goes up, the other goes down. A correlation of
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+1 indicates a perfect positive correlation, meaning that both variables move in the same direction together.
DEFINITIONS & FORMULA OF CHI-SQUARE:-
In probability theory and statistics, the chi-square distribution with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variables.
Pearson's chi-square test, also known as the chi-square goodness-of-fit test or chisquare test for independence. When mentioned without any modifiers or without other precluding context, this test is usually understood (for an exact test used in place of χ2, see Fisher's exact test).
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ONE WAY ANOVA DEFINITION & FORMULA:(GT)2 CF=
BSS=
N
(∑X1)2 + (∑X1)2 n1
n1
The ANOVA tests the null hypothesis that samples in two or more groups are drawn from the same population. To do this, two estimates are made of the population variance. These estimates rely on various assumptions (see below). The ANOVA produces an F statistic, the ratio of the variance calculated among the means to the variance within the samples. If the group means are drawn from the same population, the variance between the group means should be lower than the variance of the samples, following central limit theorem. A higher ratio therefore implies that the samples were drawn from different populations.
ONE-SAMPLE T-TEST:
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It is used to test whether a specific value is the population mean when the given sample is small sample and the population standard deviation is known. The formula for calculating the t-test is x -µ t=
-----------------S/√n
It has been compared the calculated valve of t with the table value of t for (n-1) d.f for a given significance level. If the calculated value of t < the table value of t, H0 is accepted. If the calculated value of t >the table value of t, H0 is rejected.
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REVIEW OF LITERATURE
SAVING PATTERNS OF CUSTOMERS:The objective of the study are to study the saving pattern of the people under observation, to determine relationship between expectation of returns and saving, to determine the factors influencing the reason for saving, to study the purpose of saving along with income distribution, to study the contribution of insurance to savings and to study the factors influencing the choice of insurance companies and products. The determinants of saving and the impact of insurance on saving have been studied. Various factors are involved in the saving rate with both the level and the rate of growth of disposable income. Do the returns and the reason for saving have a significant 19
impact? Furthermore, the spread of saving avenues and reason for saving, and, changes in the insurance products, have an impact on saving. Various studies have been conducted on the saving issues. In India, the pace of financial innovation was relatively slow until the initiation of the financial liberalization program in 1991–92. The subsequent financial reforms have had important implications for the user costs of assets and resulted in significant substitution among them. Hence there is a need to develop an aggregate measure of savings that would more accurately reflect household choice over various assets than the simple sum. As user costs of assets change so does the composition of the inancial savings aggregate.
Saving has failed to throw conclusive evidence. Against this background, the objective of the study was to find the determinants of savings by analyzing saving behavior in India over a period of nineteen years i.e., from 1980-81 to 1998-99. In order to identify and analyze the important factors, which have contributed to the fluctuation in the saving in India simple and multiple regression models were resorted. The impact of financial sector liberalization measures on house hold sector saving rate in India was studied by constructing a continuous time series financial sector liberalization index6. The impact of the index, along with the other determinants of household sector savings in India were estimated using a general model. The results suggest a significant negative impact of the index on household saving rate, which gives an indication of the increased credit availability due to financial sector liberalization leading to increased consumption rather than savings. Among the other determinants, absolute income is the major significant and positive determinant of household sector saving rate in India in the period of study. Else where, the different measures of financial sector development for a dynamic heterogeneous panel of 17 African countries was studied to examine the impact of 20
financial sector development on private savings7. An innovative econometric methodology was also employed related to a series of co-integration tests within a panel. This is an important contribution since traditional panel data analysis adopted in previous studies suffers from serious heterogeneity bias problems. The empirical results obtained vary considerably among countries in the panel, thus highlighting the importance of using different measures of financial sector development rather than a single indicator. The evidence is rather inconclusive, although in most of the countries in the sample a positive relationship between financial sector development and private savings seems to hold.
PERCEPTION OF SAVING INVESTORS:Jan 26, 2007 In the Inflation Report, Norges Bank publishes the interest rate path that in the have a different perception of the interest rate path that is relating to saving and investment patterns in the world economy The result was higher cost and price inflation without the desired effect on Exponential Growth Bias and Household Finance forthcoming, Journal Banks of Boston, Chicago, and Philadelphia, the Federal Reserve Board, Many borrowing, saving, and portfolio decisions in household finance seem to fit that Policymakers view accurate and unbiased perceptions of interest rates as consistent with both a direct effect of payment/interest bias, Journal of Service Research Mar 14, 2010 Lemon study, we test the effect of price perceptions on customer satisfaction using both an absolute would you rate XYZ's value for the money?” Patterson What is your perception of bank's saving rates? Quality perception to cut the interest rate on its cards because its practice of Sep 1, 1991 Federal Reserve Bank of Cleveland I.
Increasing National Saving: Are IRAs the Answer? and by the perception that relatively have the unintended side effect of increasing household leverage. The money into the tax deferred account.,,6 for which interest payments are no long- DINAR AND 21
DIRHAM EFFECT ON THE BANKING BUSINESS AND ITS SOLUTION Interest income is derived from the loan that was given out to a bank's customer , Banks will loan out a portion of depositor's money and charge the borrower with interest. International Journal of Islamic Financial Service, Vol. Joe F., (2000), “Perception of Islamic Financial System: Its Obstacles in Female Empowerment: Impact of a Commitment Savings Product in the We also find an impact on self-perception of savings behavior.
Perception of internet banking and other banking channels and report that internet which is based upon interest-free banking (Profit/Loss Sharing). under the supervision of the Savings Deposit Insurance Fund (SDIF) with 8791 Electronic Banking in Finland and the Effect on Money. Velocity. Journal of Bank of England Quarterly Bulletin 2009 Q2 will affect their spending and investment decisions today. saving rates have declined. Households report that they expect interest rates to rise over the year money directly into the economy in order to meet the inflation target. households' perceptions of interest rates have moved relative Impact of the thrift bailout on bank risk smaller proportion of demand deposits and savings deposits with ceiling rates were more profitable. assess the investor's perception of bank risk. One type is an Flannery, M. R. and James, C. M. (1984) The effect of interest rate the market for large certificates of deposit, Journal of Money,
Positive Perception:The second cluster can be designated as positive perception cluster because it has secured II rank in the perceptual factors of convenient set-up, populist schemes, government aid, nationalistic, and saving and development and III rank in the factors 'not necessary' and awareness. This segment of people is in agreement with the existence of convenient set-up, populist schemes, government aid, nationalistic, and savings and development perceptions because their mean score is more than three in those perceptual factors. 22
Negative Perception:The mean values in the third cluster for four perceptual factors are around three and for the other three perceptual factors less than three. The average score of all the perceptual factors is less than three. This means that this segment of people do not have positive perception.
SATISFACTION OF SAVING CUSTOMERS:Customer service and customer satisfaction are key components of a successful corporate strategy in the best of times, and in times of economic uncertainty, the ability to retain and leverage existing customers becomes a powerful tool for survival and success. Study after study shows that companies with high levels of customer service and support can take those capabilities literally to the bank in terms of higher rates of customer retention, revenue per customer, and shareholder value. This leveraging of the existing customer base can take many forms, but all have one thing in common: the ability to inform customer contacts on all levels with information, offers, and assistance that is tailored to the needs and interests of each customer. While this is relatively easy for companies with few products and fewer customers, companies in industries that measure their customers in the tens and hundreds of thousands tend to find supporting the “mass customization” of customer-facing interactions to be complex, expensive, and fraught with error. One reason this has been so difficult is that some of the most common forms of customer interactions – bills, invoices, statements, or delivery documents – are rarely optimized to leverage the customization that would lead to improved customer satisfaction and retention. Most billing and invoicing systems – such as the system available from SAP AG in its flagship Business Suite product – are designed to support a relatively modest degree of flexibility and advanced functionality in addition to creating the output. While systems 23
like SAP are replete with the data a company needs to support a more personalized billing and invoicing function, many of the advanced capabilities needed to truly optimize the data in customer service are lacking or only available through an IT-centric set of processes.
ABSTRACT:Small Investors' Perception on Post Office Saving Schemes and found that there was significant difference among the four age groups, in the level of Recurring Deposit(R&D), National Savings Schemes (NSS), and Deposit Scheme for Retired Employees (DSRE), and the overall score confirmed that the level of awareness among investors in the old age group was higher than in those of the young age group. No difference was observed between male and female investors except for the NSS and . Out of the factors analyzed, necessity of life and tax benefits was the two major ones that influence the investors both in semi-urban and urban areas. Majority (73.3 per cent) of investors of both semi-urban and urban areas were very much willing to invest in small savings schemes in future provided they have more for savings.
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25
Table 4.1
GENDER
S.NO
GENDER
FREQUENCY
PERCENTAGE
1
Male
41
54.7
2
Female
34
45.3
Total
75
100.0
From the above table it shows that majority 54.7% of respondents are belonged to male, and least 43.3% of respondents are belonged to female.
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Table 4.2
AGE
S.NO
AGE
FREQUENCY
PERCENTAGE
1
Below 30
41
54.7
2
30-40
13
17.3
3
40-50
13
17.3
4
Above 50
8
10.7
Total
75
100.0
From the above table it shows that majority 54.7% of respondents are belonged to age group of below 30 years and least 10.7% of respondents are belonged to age group of above 50 years.
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Table 4.3
S.NO
QUALIFICATION
FREQUENCY
PERCENTAGE
1
HSS
22
29.3
2
UG
20
26.7
3
PG
13
17.3
4
Others
20
26.7
Total
75
100.0
QUALIFICATION LEVEL
28
From the above table it shows that majority 29.3% of respondents are belonged to HSS qualification level, and least 17.3% of respondents are belonged to PG qualification level.
Chart-1
QUALIFICATION LEVEL
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Table 4.4
CLASSIFICATION ON THE BASIS OF OCCUPATION
S.NO
OCCUPATION
FREQUENCY
PERCENTAGE
1
Govt Employee
7
9.3
2
Pvt Employee
23
30.7
3
Business Man
8
10.7
4
Others
37
49.3
Total
75
100.0
From the above table it shows that majority 49.3% of respondents are belonged to others category it means Labors, and least 9.3% of respondents are belonged to Govt Employees.
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Table 4.5
INCOME PER YEAR
S.NO
INCOME
FREQUENCY
PERCENTAGE
1
25K-50K
46
61.3
2
50k-1Lkhs
23
30.7
3
1Lkhs-2Lkhs
5
6.7
4
above 2Lkhs
1
1.3
Total
75
100.0
From the above table it shows that majority 61.3% of respondents are belonged to 25-50 Thousand of annual income, and least 1.3% of respondents are belonged to above 2 Lakhs of annual income.
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Table 4.6
A/C HOLDER IN POST OFFICE
S.NO
YEAR
FREQUENCY
PERCENTAGE
1
1980-1990
8
10.7
2
1990-2000
21
28.0
3
2000-2010
46
61.3
Total
75
100.0
From the above table it shows that majority 61.3% of respondents are started their account in the year of 2000-2010, and least 10.7% of respondents are started their account in the year of 1980-1990.
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Table 4.7
TYPE OF ACCOUNT HOLD
S.NO
TYPES OF A/C
FREQUENCY
PERCENTAGE
1
Fixed a/c
19
25.3
2
Saving a/c
50
66.7
3
Public provident a/c
3
4.0
4
R&D
3
4.0
Total
75
100.0
33
From the above table it shows that majority 66.7% of respondents are belonged to saving account category and least 4.0% of respondents are belonged to Recurring Deposit account category
Table 4.8
RESPONDENTS SAVING PURPOSE
34
S.NO
PURPOSE
FREQUENCY
PERCENTAGE
1
Future
46
61.3
2
Children's education
22
29.3
3
Retirement benefits
5
6.7
4
Others
2
2.7
Total
75
100.0
From the above table it shows that majority 61.3% of respondent’s opinions that purpose to save the amount for their future and least 2.7% of respondent’s opinions to save the amount for other purposes.
Table 4.9
GENDER & SAVING PURPOSE TEST APPLIED: CHI-SQUARE Ho: There is no association between Gender & Purpose for save. H1: there is association between Gender & Purpose for save. Level: 5%
35
Purpose for save
future
children's education
retirement benefits
others
Total
27
11
1
2
41
25.1
12.0
2.7
1.1
41.0
19
11
4
0
34
Chisquare
P value
Count Male Expected Count
Gender
Count
Female
4.578 Expected Count Count
Total
Expected
20.9
10.0
2.3
.9
34.0
22
5
2
75
46 46.0
22.0
5.0
2.0
75.0
Count
The P value is greater than 0.05. So the null hypothesis is accepted at 5% significant level. So there is no association between Gender & purpose for save
36
0.205
Table 4.10
S.NO
OPTIONS
FREQUENCY
PERCENTAGE
1
1-5%
31
41.3
2
5-10%
34
45.3
3
10-15%
9
12.0
4
above 15%
1
1.3
Total
75
100.0
PERCENTAGE OF SAVING
From the above table it shows that majority 45.3% of respondents are belonged to 5-10% save from their income and least 4.0% of respondents are belonged to above 15% save from their income.
37
Table 4.11
SATISFACTION LEVEL OF RESPONDENTS
S.NO
SATISFIED
FREQUENCY
PERCENTAGE
1
Yes
69
92.0
2
No
6
8.0
Total
75
100.0
From the above table it shows that majority 92.0% of respondents are belonged to satisfied category and least 8.0% of respondents are belonged to not satisfied category.
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Table 4.12
ANNOUNCEMENT MADE BY THE POST OFFICE S.NO
ANNOUNCE IS PROPER
FREQUENCY
PERCENTAGE
1
Agree
51
68.0
2
Strongly Agree
11
14.7
3
Disagree
12
16.0
4
Strongly Disagree
1
1.3
Total
75
100.0
39
From the above table it shows majority 68.0% of respondents are agreed that proper announcement made by the post office to the public, and least 1.3% of respondents are strongly disagreed that proper announcement made by the post office to the public.
Table 4.13
OCCUPATION AND ANNOUNCEMENT MADE OF POST OFFICE SAVING SCHEME TEST APPLIED: ANOVA Ho: There is no significant difference between occupation and announcement made of post office saving scheme H1: There is a significant difference between occupation and announcement made of post office saving scheme Level: 1%
40
Descriptive Occupation 95% Confidence Interval for Mean N
Std. Deviation
Mean
Lower Bound
Std. Error
Upper Bound
Minimu Maximu m m
Agree
51
3.29
.965
.135
3.02
3.57
1
4
Strongly Agree
11
2.55
1.128
.340
1.79
3.30
1
4
Disagree
13
2.23
1.092
.303
1.57
2.89
1
4
Total
75
3.00
1.090
.126 ANOVA
2.75
3.25
1
4
Occupation Sum of Squares
df
Mean Square
Between Groups
14.377
2
7.188
Within Groups
73.623
72
1.023
Total
88.000
74
F 7.030
P VALUE .002
Result: the P value is less than 0.01 so the null hypothesis is rejected at 1% level of significant. Hence it is significant difference between occupation and announcement made of post office saving scheme
Table 4.14
INVESTMENT ARE SAFETY THAN OTHER SAVING SECTOR 41
S.NO
SAFETY THAN OTHERS
FREQUENCY
PERCENTAGE
1
Agree
38
50.7
2
Strongly agree
31
41.3
3
Disagree
6
8.0
4
Strongly Disagree
00
00
Total
75
100.0
From the above table it shows majority 50.7% of respondents are agreed that post office saving is safety than others, and least 8.0% of respondents are disagreed that post office safety than others.
42
Table 4.15
SAVING SCHEMES HELPFUL TO CUSTOMERS
S.NO
HELPFUL TO YOU
FREQUENCY
PERCENTAGE
1
Agree
41
54.7
2
Strongly Agree
21
28.0
3
Disagree
13
17.3
4
Strongly Disagree
00
00
Total
75
100.0
From the above table it shows majority 54.7% of respondents are agreed that post office saving is helpful to them, and least 17.3% of respondents are disagreed that post office saving is helpful to them.
Table 4.16
43
CORRELATION BETWEEN SAFETY THAN OTHER & HELPFUL TO THE RESPONDENTS Ho: There is no relationship between post office is safety than other & helpful to the respondents H1: There is a relationship between post office is safety than other & helpful to the respondents Level: 5%
SAFETY THAN OTHER
N
Pearson’s Correlation
P value
HELPFUL TO YOU
75
0.112
0.341
Since correlation value is 0.112 which is of positive correlation 11.2% between post office is safety than other & helpful to the respondents. P value is greater than 0.05 so the null hypothesis is accepted at 5% level of significant. So there is no relationship between post office is safety than other & helpful to the respondents.
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Table 4.17 POST OFFICE SAVING IS SAFETY THAN OTHER SAVING SECTOR TEST APPLIED: ONE SAMPLE T-TEST H0: Saving in post office is safety is equal to average level H1: Saving in post office is safety is not equal to average level
T-Test One-Sample Test
Test Value = 3
t
Safety than others
-19.294
df
Sig. (2-tailed) 74
.000
N
Mean 75
Std. deviation 1.57
The P value is less than 0.01 therefore null hypothesis is rejects at 1% significant level. Hence saving in post office is safeties are not equal to average level.
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.640
Table 4.18
INTRODUCER THE POST OFFICE S.NO
WHO INTRODUCE
FREQUENCY
PERCENTAGE
1
Family
28
37.3
2
Friends
14
18.7
3
Self interest
27
36.0
4
Others
6
8.0
Total
75
100.0
From the above table it shows majority 37.3% of respondents are introduced to post office by their family members, and least 18.7% of respondents are introduced to post office by their friends.
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Chart-2 INTRODUCER THE POST OFFICE
Table 4.19
AVAILED SENIOR CITIZEN SCHEME
47
S.NO
SENIOR SCHEME
FREQUENCY
PERCENTAGE
1
Yes
8
10.7
2
No
69
89.3
Total
75
100.0
From the above table it shows majority89.3% of respondents are not benefited in senior citizen scheme, and least 10.7% of respondents are benefited in senior citizen scheme.
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Table 4.20
PROBLEM FACED BY THE RESPONDENTS
S.NO
FACE PROBLEM?
FREQUENCY
PERCENTAGE
1
Yes
75
100
2
No
00
00
Total
75
100.0
From the above table it shows every respondents are faced some problem in post office.
Table 4.21 49
KINDS OF PROBLEM FACED OF RESPONDENTS S.NO
PROBLEM TYPE
FREQUENCY
PERCENTAGE
1
Opening a/c
22
29.3
2
Money transfer
28
37.3
3
Nominees name change
17
22.7
4
Closing a/c
8
10.7
Total
75
100.0
From the above table it shows that majority 37.3% of respondents are faced problem in money transfer, and least 10.7% of respondents are faced problem in closing account.
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Chart-3
KINDS OF PROBLEM FACED OF RESPONDENTS
Table 4.22
S.NO
PROPER RESPONSE
FREQUENCY
PERCENTAGE
1
Yes
53
70.7
2
No
22
29.3
Total
75
100.0
RESPONSE MADE BY POST OFFICE STAFFS
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From the above table it shows that majority 70.7% of respondents opinion that proper response made the post office staff, and least 29.3% of respondents opinion that not proper response made the post office staff.
Table 4.23
SATISFACTION LEVEL OF SERVICES PROVIDING
52
S.NO
SATISFACTION LEVEL
FREQUENCY
PERCENTAGE
1
Satisfied
34
45.3
2
Partly satisfied
25
33.3
3
Not satisfied
15
20.0
4
Not at all satisfied
1
1.3
Total
75
100.0
From the above table it shows majority 45.3% of respondents are belonged to satisfied by services providing in post office, and least 20.0% of respondents are belonged to not satisfied.
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Table 4.24
EXPECTATION OF NEW SCHEMES S.NO
EXPECT NEW SCHEMES
FREQUENCY
PERCENTAGE
1
Yes
75
100
2
No
00
00
Total
75
100.0
From the above table it shows every respondent are expecting new schemes.
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Table 4.25
EXPECT OF NEW SCHEME TYPE S.NO
SCHEME TYPE
1
More interest
33
44.0
2
More safety
16
21.3
3
Easy to handle
22
29.3
4
Others
4
5.3
Total
75
100.0
FREQUENCY
PERCENT
From the above table it shows the 44.0% of respondents are expecting more interest, 29.9% of respondents are expected easy to handle, and 21.3% of respondents are expected more safety in post office.
55
Chart-4 EXPECT NEW SCHEME TYPE OF RESPONDENTS
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FINDINGS:-
➢ 54.7% of respondents are belonged to male category
➢ 54.7% of respondents are belonged to age group of below 30 ➢ 29.3% of respondents are belonged to HSS qualification level
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➢ 61.3% of respondents are belonged to 25Thousand to 50Thousand of annual
income ➢ 66.7% of respondents are belonged to saving account category ➢ 61.3% of respondents opinions that purpose to save the amount for their future
purpose ➢ From the chi-square it showed no association between Gender & purpose for
saving in post office ➢ 45.3% of respondents are belonged to 5-10% save from their income ➢ 92.0% of respondents are belonged to satisfied category ➢ 49.3% of respondents are belonged to others than the Govt Employee, Pvt
Employee, Pvt Employee ➢ 68.0% of respondents are agreed that proper announcement made by the post office to the public
➢
FROM The ANOVAs, it is significant difference between occupation and announcement made of post office saving scheme
➢ 50.7% of respondents are agreed that post office saving is safety than others ➢ 54.7% of respondents are agreed that post office saving is helpful to them 58
➢ The correlation there is no relationship between the post office is safety than other investing sector & helpful to the respondents. ➢ T test, saving in post office is safety is not equal to average level. ➢ 37.3% of respondents are faced problem in money transfer ➢ 45.3% of respondents are belonged to satisfied by services providing in post office ➢ 44.0% of respondents are expecting more interest, 29.9% of respondents are expected easy to handle
SUGGESTION:-
➢ From the analysis, it found most of the customers faced problem in transaction
money, so on-line transaction has to implement.
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➢ Interest rate when compare to other private sectors the interest of post office is
very low, so in order to attract and retain customers the interest rate shall be increased. ➢ The time taken for transfer is very high, so management has to take step to minimize the time for money transfer transaction. ➢ From the findings only up to middle & middle group of people are interested in
post office saving scheme. In order to attract the rest of the group of people more schemes with variety of interest rate shall be introduced. ➢ There is no powerful advertisement media used by the post office saving sector,
so suitable advertisement media shall be adopted.
CONCLUSION:-
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Through this study the research understood the perception of investors in the post office saving schemes, whether the investors are satisfied or not in their saving account. And investor’s expectation from the post office saving schemes are identified, that the different type of customers expects different features in post office. The post office saving customers faced problems by their saving account, this research to found the satisfaction level of customers in post office saving schemes. If the above suggestion implement, the post office sector can find better prospect in the future. Through this study I gain more practical knowledge which makes betterment for my future and career.
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