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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 3 Issue 6, October 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 663
A Study on Customer Relationship Management at
Yamaha Srinivasa Motors Puducherry
Poorani. R1, Arulselvi. T1, Junojasmine. J2
1MBA Student, 2Associate Professor, Department of Management Studies,
1,2Rajiv Gandhi College of Engineering and Technology, Puducherry, India
ABSTRACT
Most of the two wheeler industry focuses on customer relationship
management these days. The first and foremost necessity is to satisfy the
existing customers and make them come back for a repurchase of their
products. This means Yamaha should concentrate onitscustomers.Theaimof
the study is to find the customer relationship management and brand loyalty
at Yamaha Srinivasa Motors Puducherry.TherelationbetweenCRMandBrand
Loyalty is also assessed. Primary and secondary data were used for the study.
CRM questionnaire was used to collect primary data. Eighty samples are
selected at random from a population of 100 customers. The data were
analyzed using the spearmen coefficient of correlation and ANOVA. Suitable
suggestions and conclusions were made from the findings of the study.
KEYWORDS: Satisfaction, Customer loyalty, CRM practices
How to cite this paper: Poorani. R |
Arulselvi. T | Junojasmine. J "A Study on
Customer Relationship Management at
Yamaha Srinivasa Motors Puducherry"
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Issue-6, October
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182.pdf
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y/4.0)
INTRODUCTION
Customer Relationship Management is an approach to
manage the company interaction with current and potential
customers. It uses data about past customer history and to
manage the satisfaction, especially focusing on customer
retention and ultimately driving sales growth.Thisdatabase
helps the unified customers and to improve the quality of
relationship. Through the customer relationship
management approach and the systems used to facilitate it,
businesses learn more about their target audiencesandhow
to best cater their needs.
The focus of customer relationship management is on
creating value for the customer and the company over the
longer term. It enables organizations to gain competitive
advantage over competitors that supply similar products or
services. The important factors like,
1. Satisfaction
2. CRM practices
3. Brand Retention
4. Customer loyalty
SATISFACTION
The degree of satisfaction provided by the goods or services
of a company as measured by the number of repeat
customers.
CRM PRACTICES
Customer relationship management practices like
customization of the product, maintaining interaction with
the customer regularly and providing good quality product.
BRAND RETENTION
It refers to the ability of a company or product to retain its
customer over some specified period. The goal of customer
retention programs is help companies retain as many
customers as possible, often through brand loyalty
initiatives.
CUSTOMER LOYALTY
Customer loyalty is the result of consistently positive
emotional experience; physical attribute based satisfaction
and perceived value of an experience, which includes the
products goods or services.
OBJECTIVE OF THE STUDY
1. To find the current practices of Customer Relationship
Management.
2. To find the significant difference between demographic
variables and Customer Relationship Management.
3. To find the significant relationship between Customer
Relationship management and Brand Loyalty.
IJTSRD29182
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 664
HYPOTHESIS
1. Ha: There is a significant relationship betweenCustomer
Relationship Management and Brand Loyalty.
2. H0: There is no significant difference between
demographic variables and customer relationship
management.
SCOPE OF THE STUDY
The study is useful as it highlights the key needs and to
maintain good relations with itscustomers.Theyhaveretain
the customer for a long time to avail the benefit of the
relations. The customer relationship management is one of
the effective tools to identify, establish and maintain
relationship with the customers is helpful in increasing
emphasis for satisfying the customer and develop stronger
customer bonding.
REVIEW OF LITERATURE
1. (Swift, 2000,pp.12-13)describedcustomer relationship
management as a technique of knowing client conduct
through intensive interaction with him/her to enhance
the efficiency of attracting customers, maintainingthem
and improving their loyalty and profitability.
2. (Kumar & Reinartz, 2006, p.6) agrees with the above
mentioned concept that customer relationship
management is simply a strategic method by which the
more lucrative clients of the organization are selected
and interactionsare establishedbetweenthatinstitution
and those clients in order to attain the objective of
maximizing present and future customer values.
3. Peter C. Verhoef (2003) “Understanding the effect of
Customer relationship management efforts on client
retention and client share growth” discovered that the
differential impacts of client relationship attitudes and
marketing relationship tools on customer retentionand
the growth of client share over time were investigated.
4. (Payne & Frow, 2005, p.p.167-168) showed that the
notion of customer relationship management has
different points of perspective. While some viewpoints
were in favor of considering customer relationship
management as direct mail correspondence, a diagram
for customer loyalty programs or databases, other
viewpoints considered it to be an assistant office work
or a call center. Still, some considered it data storage or
taking care of data search and processing. Finally, some
considered it gaining the systems that make it able to
perform e-commerce.
5. (Parvatiyar & Sheth, 2002, p.5) Stated that customer
relationship management is a through approach
involving in the process of purchasing, maintaining and
cooperation with certain clients in order to generate a
distinct value for both the business and the client. This
strategy requires integrating thefunctionsofmarketing,
sales, customer service and exposition chain so as to
achieve the highest competence and efficiency in
delivering value to the customer. As it shows, this
definition regards CRM as a strategy with a main goal of
delivering a distinguishedvaluetothecustomerthrough
improving the marketing productivity.
6. Khalid Rababah (2011) “Customer Relationship
Management (CRM) processes from theory to practice.
The pre implementation plan of the CRM system” found
that the paper recommends that, in order to ensure the
successful adoption and implantation of any customer
relationship management initiative, the organization
should understand the different levels of the CRM
process and the integrated activities between the CRM
processes at each level. In addition, for organizations to
be successful adopters and implementers of CRM
programs/systems, theyshouldunderstandtheneedfor
business process reengineering and effective
anticipation and management of the change that may
accompany any CRM initiative. He suggests a pre-
implementationplanforCRMprograms/systems.Sucha
plan aims to initiate and communicate a customer-
oriented culture within the organization.
7. (Zablah, 2004, p.578) “CRM is an activity that is
interested in the organization’s main customers, in the
efficiency of the organization and in the management of
customer knowledge, with the aim of enhancing the
effectiveness of customer related organizational
decisions, thus leading to improved marketing
performance and organizational performance in
particular”.
RESEARCH METHODOLOGY
DESCRIPTIVE RESEARCH
Descriptive Research includes the surveys and fact-finding
enquires of different kinds. Themajorpurposeofdescriptive
research is description of the state of affairs as it exists at
present. The main characteristics of this method arethatthe
research design has no control over the variables. It gives
only report what has happened or what is happening.
SAMPLING DESIGN
A Sampling design is a definite plan for obtaining a sample
from a given population. It refers to a technique or the
procedure the researcher would adopt in selecting items for
samples.
POPULATION
The population or universe can be defined as aggregate of
items possessing a common trait. In the study population is
finite and the population size is N=100 and the sample size
n=80.
SAMPLING METHOD
The sampling technique used in this study is simple random
sampling method. This method is also called as the method
of chance selection. Each and every item of population has
equal chance to be included in the sample
TYPES OF DATA
Source of data
Primary data and secondary data are used for the study.
1. Primary data
The data which are collected fresh, original in character is
called primary data. In this study the primary data was
collected by interacting with the assistant engineers and
workers in production department in my company. Sample
taken for this study is one.
2. Secondary data
The data which have already collected and analyzed by
someone else is called secondary data. In this study the
secondary data was collected from the books, journals, and
websites and company records.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 665
QUESTIONNAIRE
The questions are arranged in logical sequences. The
questionnaire consists of a variety of questions presentedto
the employees for their response. Likert’s scale was used in
the construction of questionnaire.
5- Strongly Agree 4-Agree 3- Neutral 2- Disagree 1- Strongly
Disagree.
STATISTICAL TOOL
To analyze and intercepts collected data the following
statistical tools was used.
Karl Pearson’s coefficient of correlation.
Analysis of variance (ANOVA).
KARL PEARSON’S CO-EFFICIENT OF CORRELATION
It is widely used mathematical method wherein the
numerical expression is used to calculate the degree and
direction of the relationship between linearrelatedvariable.
Pearson’s method, popularly known as a Pearson’s
coefficient of correlation, is the most extensively used
quantitative methods in practice. The coefficient of
correlation is denoted by “r”.
The relationship between two variables x and Y is to be
ascertained, then the following formula is used,
FORMULA
Coefficient of correlation r = ∑ ((x-dx) (y-dy))
√((x-dx)^2(y-dy)^2)
Where, dx = mean of x variable
dy = mean of y variable
ANALYSIS OF VARIANCE
Analysis of variance (ANOVA) is used to determine whether
there are any significant differences between the means if
two or more independent (unrelated) groups (although you
tends to only see it used when there are a minimum of three,
rather than groups). For this purpose, F-test is used. It is
important to realize that the one way ANOVA cannot tell
which specific groups were significantly different from each
other; it only tells that at least two group’s two groups were
different.
F = Estimate of population variance based
on between samples variances
Estimate of population variance based on
within samples variances
DATA ANALYSIS AND INTERPRETATION
ANALYSIS OF VARIANCE
AGE
HYPOTHEIS
HO: There is no significant differencebetweenagewiseclassificationoftherespondent andcustomerrelationshipmanagement.
SOURCES OF VARIENCE SS Df MS F P VALUE
BETWEEN GROUPS 38.85758 2 19.42879 0.770391 0.466366
WITHIN GROUPS 1941.892 77 25.21938
TOTAL 1980.75 79
INFERENCE
The above table shows that f value is 0.77 and p value is 0.46, since p value is greater than 0.05 we accept the null hypothesis
and reject the alternative hypothesis. Hence there is no significant difference between age wise classification of the
respondents and customer relationship management.
GENDER
HYPOTHESIS
HO: There is no significant difference between gender wise classification of the respondent and customer relationship
management.
SOURCES OF VARIENCE SS Df MS F VALUE
BETWEEN GROUPS 3.692516 1 3.692516 0.039197 0.843562
WITHIN GROUPS 7536.368 80 94.20461
TOTAL 7540.061 81
INFERENCE
The above table shows that f value is 0.03 and p value is 0.84, since p value is greater than 0.05 we accept the null hypothesis
and reject the alternative hypothesis. Hence there is no significant difference between gender wise classification of the
respondents and customer relationship management.
OCCUPATION
HYPOTHESIS
HO: There is no significant difference between occupation of the respondents and customer relationship management.
SOURCES OF VARIENCE SS Df MS F P VALUE
BETWEEN GROUPS 78.01268 2 39.00634 0.312398 0.732579
WITHIN GROUPS 9988.879 80 124.861
TOTAL 10066.89 82
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 666
INFERENCE
The above table shows that f value is 0.31 and p value is 0.73, since p value is greater than 0.05 we accept the null hypothesis
and reject the alternative hypothesis. Hence there is no significant difference between occupation of the respondents and
customer relationship management.
ANNUAL INCOME
HYPOTHESIS
HO: There is no significant difference between annual income of the respondents and customer relationship management.
SOURCES OF VARIENCE SS Df MS F P VALUE
BETWEEN GROUPS 23.84906 2 11.92453 0.094987 0.909487
WITHIN GROUPS 10043.04 80 125.538
TOTAL 10066.89 82
INFERENCE
The above table shows that f value is 0.09 and p value is 0.90, since p value is greater than 0.05 we accept the null hypothesis
and reject the alternative hypothesis. Hence there is no significant difference between annual income of the respondents and
customer relationship management.
ANALYSIS USING KARL COEFFICIENT OF CORRELATION
HYPOTHESIS
HO: There is no significant relationship between Customer Relationship Management and Brand Loyalty.
Ha: There is a significant relationship between Customer Relationship Management and Brand Loyalty.
RESPONDENTS X y dx Dy (x-dx)^2 (y-dy)^2 (x-dx)(y-dy)
1 49 19 -5.875 -1.7875 34.515625 3.19515625 10.5015625
2 53 16 -1.875 -4.7875 3.515625 22.92015625 8.9765625
3 54 21 -0.875 0.2125 0.765625 0.04515625 -0.1859375
4 61 21 6.125 0.2125 37.515625 0.04515625 1.3015625
5 62 21 7.125 0.2125 50.765625 0.04515625 1.5140625
6 64 22 9.125 1.2125 83.265625 1.47015625 11.0640625
7 63 15 8.125 -5.7875 66.015625 33.49515625 -47.0234375
8 61 18 6.125 -2.7875 37.515625 7.77015625 -17.0734375
9 46 20 -8.875 -0.7875 78.765625 0.62015625 6.9890625
10 59 23 4.125 2.2125 17.015625 4.89515625 9.1265625
11 57 23 2.125 2.2125 4.515625 4.89515625 4.7015625
12 53 22 -1.875 1.2125 3.515625 1.47015625 -2.2734375
13 55 23 0.125 2.2125 0.015625 4.89515625 0.2765625
14 50 25 -4.875 4.2125 23.765625 17.74515625 -20.5359375
15 52 23 -2.875 2.2125 8.265625 4.89515625 -6.3609375
16 53 25 -1.875 4.2125 3.515625 17.74515625 -7.8984375
17 54 23 -0.875 2.2125 0.765625 4.89515625 -1.9359375
18 54 23 -0.875 2.2125 0.765625 4.89515625 -1.9359375
19 55 24 0.125 3.2125 0.015625 10.32015625 0.4015625
20 56 21 1.125 0.2125 1.265625 0.04515625 0.2390625
21 49 18 -5.875 -2.7875 34.515625 7.77015625 16.3765625
22 54 19 -0.875 -1.7875 0.765625 3.19515625 1.5640625
23 51 22 -3.875 1.2125 15.015625 1.47015625 -4.6984375
24 54 20 -0.875 -0.7875 0.765625 0.62015625 0.6890625
25 52 22 -2.875 1.2125 8.265625 1.47015625 -3.4859375
26 57 17 2.125 -3.7875 4.515625 14.34515625 -8.0484375
27 56 22 1.125 1.2125 1.265625 1.47015625 1.3640625
28 56 20 1.125 -0.7875 1.265625 0.62015625 -0.8859375
29 46 21 -8.875 0.2125 78.765625 0.04515625 -1.8859375
30 59 18 4.125 -2.7875 17.015625 7.77015625 -11.4984375
31 54 22 -0.875 1.2125 0.765625 1.47015625 -1.0609375
32 56 18 1.125 -2.7875 1.265625 7.77015625 -3.1359375
33 56 21 1.125 0.2125 1.265625 0.04515625 0.2390625
34 58 22 3.125 1.2125 9.765625 1.47015625 3.7890625
35 60 19 5.125 -1.7875 26.265625 3.19515625 -9.1609375
36 52 20 -2.875 -0.7875 8.265625 0.62015625 2.2640625
37 46 23 -8.875 2.2125 78.765625 4.89515625 -19.6359375
38 59 19 4.125 -1.7875 17.015625 3.19515625 -7.3734375
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 667
39 59 24 4.125 3.2125 17.015625 10.32015625 13.2515625
40 56 20 1.125 -0.7875 1.265625 0.62015625 -0.8859375
41 50 22 -4.875 1.2125 23.765625 1.47015625 -5.9109375
42 51 24 -3.875 3.2125 15.015625 10.32015625 -12.4484375
43 63 21 8.125 0.2125 66.015625 0.04515625 1.7265625
44 56 18 1.125 -2.7875 1.265625 7.77015625 -3.1359375
45 60 20 5.125 -0.7875 26.265625 0.62015625 -4.0359375
46 54 20 -0.875 -0.7875 0.765625 0.62015625 0.6890625
47 53 24 -1.875 3.2125 3.515625 10.32015625 -6.0234375
48 53 20 -1.875 -0.7875 3.515625 0.62015625 1.4765625
49 52 23 -2.875 2.2125 8.265625 4.89515625 -6.3609375
50 55 17 0.125 -3.7875 0.015625 14.34515625 -0.4734375
51 60 21 5.125 0.2125 26.265625 0.04515625 1.0890625
52 46 19 -8.875 -1.7875 78.765625 3.19515625 15.8640625
53 53 21 -1.875 0.2125 3.515625 0.04515625 -0.3984375
54 52 23 -2.875 2.2125 8.265625 4.89515625 -6.3609375
55 50 18 -4.875 -2.7875 23.765625 7.77015625 13.5890625
56 53 23 -1.875 2.2125 3.515625 4.89515625 -4.1484375
57 56 22 1.125 1.2125 1.265625 1.47015625 1.3640625
58 55 24 0.125 3.2125 0.015625 10.32015625 0.4015625
59 60 15 5.125 -5.7875 26.265625 33.49515625 -29.6609375
60 63 23 8.125 2.2125 66.015625 4.89515625 17.9765625
61 66 24 11.125 3.2125 123.765625 10.32015625 35.7390625
62 60 21 5.125 0.2125 26.265625 0.04515625 1.0890625
63 67 24 12.125 3.2125 147.015625 10.32015625 38.9515625
64 50 24 -4.875 3.2125 23.765625 10.32015625 -15.6609375
65 55 19 0.125 -1.7875 0.015625 3.19515625 -0.2234375
66 56 22 1.125 1.2125 1.265625 1.47015625 1.3640625
67 67 23 12.125 2.2125 147.015625 4.89515625 26.8265625
68 48 21 -6.875 0.2125 47.265625 0.04515625 -1.4609375
69 47 18 -7.875 -2.7875 62.015625 7.77015625 21.9515625
70 57 23 2.125 2.2125 4.515625 4.89515625 4.7015625
71 55 19 0.125 -1.7875 0.015625 3.19515625 -0.2234375
72 45 24 -9.875 3.2125 97.515625 10.32015625 -31.7234375
73 48 16 -6.875 -4.7875 47.265625 22.92015625 32.9140625
74 48 18 -6.875 -2.7875 47.265625 7.77015625 19.1640625
75 53 17 -1.875 -3.7875 3.515625 14.34515625 7.1015625
76 55 20 0.125 -0.7875 0.015625 0.62015625 -0.0984375
77 50 23 -4.875 2.2125 23.765625 4.89515625 -10.7859375
78 53 19 -1.875 -1.7875 3.515625 3.19515625 3.3515625
79 57 18 2.125 -2.7875 4.515625 7.77015625 -5.9234375
80 57 17 2.125 -3.7875 4.515625 14.34515625 -8.0484375
4390 1663 54.875 20.7875 1980.75 483.3875 11.875
Coefficient of correlation r = ∑ ((x-dx) (y-dy))
√((x-dx)^2(y-dy)^2)
r = 11.875
978.50385
r = 0.012135
Coefficient of correlation r = 0.012135
INFERENCE
The value of correlation r = 0.012135. This shows that there exists a positive correlation between Customer Relationship
Management and Brand Loyalty of the company. Hence, we reject the null hypothesis and acceptalternativehypothesis.Itwas
found that there is a relationship between Customer Relationship Management and Brand Loyalty of the company.
CURRENT PRACTICES OF CUSTOMER RELATIONSHIP
MANAGEMENT AT SRINIVASA MOTORS
1. Ensure online platforms are responsive
2. Set up workflows
3. Cross-time employees
4. Creating content and make changes from experiences
5. Put milestones in places
6. Make sure you can customize, personalize and scale for
the future
7. Provide proper training and support
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 668
8. Automate process
9. Be clear about your pain points and goals
10. Services and customer experiences
11. Have a well-defined implementation strategy
12. Continuously monitor process
13. Maintain flexibility during the process
14. Train your staffs
SUGGESTIONS
On the basis of the results found from the survey taken on
Srinivasa Motors leads to some of the following suggestions.
These suggestions are given with account of the improving
the standard of the company.
1. There should be more and more emphasis given by the
company for satisfying the customer up to apex limit
and by providing the utility of every pennyofhismoney.
2. The company should be flexible to bend its rules and
procedures in the client favor.
3. The company can communicate and develop stronger
customer bonding by providing social and financial
benefits.
4. The number of experienced workers increased,thenthe
efficiency of the production will increase with less
material wastage, less material resources etc..,
5. The majority volume of the customer in the industry is
satisfied with employee’s relationship. But, still a
considerable volume of the customers are giving a
neutral opinion regarding the topic of interest. The
management should take necessary steps so that this
volume of customers also gets satisfied.
6. The company maintains frequent communication with
the customers. As soon as the product is ready or a new
product is launched the information is provided to the
customers. Communicationisalsonecessarytomaintain
the interest of the customers in the company.
7. The company has focused on thecustomer relationship
management and has also suggested how to maintain
their relationship has to be achieved. This will improve
relationship with customers successfully focusing on
customer’s satisfaction and ultimately driving sales
growth.
CONCULSION
Customer relationship management is an approach to
manage a company’s interaction with current and potential
customers. It uses data analysis about customers’ history
with a company to improve business relationship with
customers, specially focusing on customer’s retention and
ultimately driving sales growth. The object of the study is to
deal with customer relationship managementandtofindthe
current practices of CRM. This study examined factors such
as satisfaction of customer in the company.
It was found that by using Anova, to study the relationship
between overall demographic variable and Customer
Relationship management on perception of customers at
Srinivasa Motors private limited in Puducherry. By using
correlation, there is no significant correlation among the
customer relationship management and brand loyalty. The
suggestion is given to employees in manufacturing sector it
is very important to understand the customer preference
and to maintain good relationswithitscustomers.Theyhave
retained the customer for a long time to avail the benefit of
the relations. It is helpful in increasing emphasis for
satisfying the customer and develop stronger customer
bonding.
From this study it can be concluded that the customer
relationship management in company is satisfactory. The
company using various CRM practices like customization of
the product, maintaining interaction with the customers
regularly and providing good quality product. The company
maintains frequent communication with the customers. As
soon as the product is ready or a new product launched the
information is provided to the customers.
REFERENCES
[1] Swift, R. S., Accelerating customer relationships using
CRM and relationship technologies (Prentice Hall,
2000). Venetis, K. A. & Ghauri, P. N., "Service quality
and customer retention: Building long – term
relationships, European Journal of marketing" Vol.38,
No. 11/12, 2004.
[2] Kumar, V. & Reinartz, W., Customer relationship
management: A data based approach (N. Y. John Wiley,
2006).
[3] Payne, A. & Frow, P., "A strategic framework for
Customer relationship management, Journal of
Marketing, No. 4, Oct. 2005. Sekaran, U., Research
methods for business: A skill- Building approach (John
wiley & sons, Inc., 1992).
[4] Verhoef, P. C.," Understanding the effect of customer
relationship management efforts on customer
retention and customer share developmet”, journal of
marketing, Vol.67, No.4, oct.2003.
[5] Parvatiyar, A. &Sheth, T. N., "Customer relationship
management: Emerging practice, process, and
discipline", Journal of Economic and Social Research,
Vol.3, No.2, 2002.
[6] Zablah, A. R. and et.al. “An evaluation of divergent
perspectives on customer relationship management:
towards a common understanding of an emerging
phenomenon", Industrial Marketing Management,
Vol.333, 2004.
[7] Rababak, k. (2011). Customer relationship
management (CRM) processes from theory to
practices: the pre implementation plan of CRM
systems. International Journal of e-education, e-
business, e-management and e- learning, 1(1), 22-28.

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A Study on Customer Relationship Management at Yamaha Srinivasa Motors Puducherry

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 3 Issue 6, October 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 663 A Study on Customer Relationship Management at Yamaha Srinivasa Motors Puducherry Poorani. R1, Arulselvi. T1, Junojasmine. J2 1MBA Student, 2Associate Professor, Department of Management Studies, 1,2Rajiv Gandhi College of Engineering and Technology, Puducherry, India ABSTRACT Most of the two wheeler industry focuses on customer relationship management these days. The first and foremost necessity is to satisfy the existing customers and make them come back for a repurchase of their products. This means Yamaha should concentrate onitscustomers.Theaimof the study is to find the customer relationship management and brand loyalty at Yamaha Srinivasa Motors Puducherry.TherelationbetweenCRMandBrand Loyalty is also assessed. Primary and secondary data were used for the study. CRM questionnaire was used to collect primary data. Eighty samples are selected at random from a population of 100 customers. The data were analyzed using the spearmen coefficient of correlation and ANOVA. Suitable suggestions and conclusions were made from the findings of the study. KEYWORDS: Satisfaction, Customer loyalty, CRM practices How to cite this paper: Poorani. R | Arulselvi. T | Junojasmine. J "A Study on Customer Relationship Management at Yamaha Srinivasa Motors Puducherry" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-6, October 2019, pp.663-668, URL: https://www.ijtsrd.com/papers/ijtsrd29 182.pdf Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/b y/4.0) INTRODUCTION Customer Relationship Management is an approach to manage the company interaction with current and potential customers. It uses data about past customer history and to manage the satisfaction, especially focusing on customer retention and ultimately driving sales growth.Thisdatabase helps the unified customers and to improve the quality of relationship. Through the customer relationship management approach and the systems used to facilitate it, businesses learn more about their target audiencesandhow to best cater their needs. The focus of customer relationship management is on creating value for the customer and the company over the longer term. It enables organizations to gain competitive advantage over competitors that supply similar products or services. The important factors like, 1. Satisfaction 2. CRM practices 3. Brand Retention 4. Customer loyalty SATISFACTION The degree of satisfaction provided by the goods or services of a company as measured by the number of repeat customers. CRM PRACTICES Customer relationship management practices like customization of the product, maintaining interaction with the customer regularly and providing good quality product. BRAND RETENTION It refers to the ability of a company or product to retain its customer over some specified period. The goal of customer retention programs is help companies retain as many customers as possible, often through brand loyalty initiatives. CUSTOMER LOYALTY Customer loyalty is the result of consistently positive emotional experience; physical attribute based satisfaction and perceived value of an experience, which includes the products goods or services. OBJECTIVE OF THE STUDY 1. To find the current practices of Customer Relationship Management. 2. To find the significant difference between demographic variables and Customer Relationship Management. 3. To find the significant relationship between Customer Relationship management and Brand Loyalty. IJTSRD29182
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 664 HYPOTHESIS 1. Ha: There is a significant relationship betweenCustomer Relationship Management and Brand Loyalty. 2. H0: There is no significant difference between demographic variables and customer relationship management. SCOPE OF THE STUDY The study is useful as it highlights the key needs and to maintain good relations with itscustomers.Theyhaveretain the customer for a long time to avail the benefit of the relations. The customer relationship management is one of the effective tools to identify, establish and maintain relationship with the customers is helpful in increasing emphasis for satisfying the customer and develop stronger customer bonding. REVIEW OF LITERATURE 1. (Swift, 2000,pp.12-13)describedcustomer relationship management as a technique of knowing client conduct through intensive interaction with him/her to enhance the efficiency of attracting customers, maintainingthem and improving their loyalty and profitability. 2. (Kumar & Reinartz, 2006, p.6) agrees with the above mentioned concept that customer relationship management is simply a strategic method by which the more lucrative clients of the organization are selected and interactionsare establishedbetweenthatinstitution and those clients in order to attain the objective of maximizing present and future customer values. 3. Peter C. Verhoef (2003) “Understanding the effect of Customer relationship management efforts on client retention and client share growth” discovered that the differential impacts of client relationship attitudes and marketing relationship tools on customer retentionand the growth of client share over time were investigated. 4. (Payne & Frow, 2005, p.p.167-168) showed that the notion of customer relationship management has different points of perspective. While some viewpoints were in favor of considering customer relationship management as direct mail correspondence, a diagram for customer loyalty programs or databases, other viewpoints considered it to be an assistant office work or a call center. Still, some considered it data storage or taking care of data search and processing. Finally, some considered it gaining the systems that make it able to perform e-commerce. 5. (Parvatiyar & Sheth, 2002, p.5) Stated that customer relationship management is a through approach involving in the process of purchasing, maintaining and cooperation with certain clients in order to generate a distinct value for both the business and the client. This strategy requires integrating thefunctionsofmarketing, sales, customer service and exposition chain so as to achieve the highest competence and efficiency in delivering value to the customer. As it shows, this definition regards CRM as a strategy with a main goal of delivering a distinguishedvaluetothecustomerthrough improving the marketing productivity. 6. Khalid Rababah (2011) “Customer Relationship Management (CRM) processes from theory to practice. The pre implementation plan of the CRM system” found that the paper recommends that, in order to ensure the successful adoption and implantation of any customer relationship management initiative, the organization should understand the different levels of the CRM process and the integrated activities between the CRM processes at each level. In addition, for organizations to be successful adopters and implementers of CRM programs/systems, theyshouldunderstandtheneedfor business process reengineering and effective anticipation and management of the change that may accompany any CRM initiative. He suggests a pre- implementationplanforCRMprograms/systems.Sucha plan aims to initiate and communicate a customer- oriented culture within the organization. 7. (Zablah, 2004, p.578) “CRM is an activity that is interested in the organization’s main customers, in the efficiency of the organization and in the management of customer knowledge, with the aim of enhancing the effectiveness of customer related organizational decisions, thus leading to improved marketing performance and organizational performance in particular”. RESEARCH METHODOLOGY DESCRIPTIVE RESEARCH Descriptive Research includes the surveys and fact-finding enquires of different kinds. Themajorpurposeofdescriptive research is description of the state of affairs as it exists at present. The main characteristics of this method arethatthe research design has no control over the variables. It gives only report what has happened or what is happening. SAMPLING DESIGN A Sampling design is a definite plan for obtaining a sample from a given population. It refers to a technique or the procedure the researcher would adopt in selecting items for samples. POPULATION The population or universe can be defined as aggregate of items possessing a common trait. In the study population is finite and the population size is N=100 and the sample size n=80. SAMPLING METHOD The sampling technique used in this study is simple random sampling method. This method is also called as the method of chance selection. Each and every item of population has equal chance to be included in the sample TYPES OF DATA Source of data Primary data and secondary data are used for the study. 1. Primary data The data which are collected fresh, original in character is called primary data. In this study the primary data was collected by interacting with the assistant engineers and workers in production department in my company. Sample taken for this study is one. 2. Secondary data The data which have already collected and analyzed by someone else is called secondary data. In this study the secondary data was collected from the books, journals, and websites and company records.
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 665 QUESTIONNAIRE The questions are arranged in logical sequences. The questionnaire consists of a variety of questions presentedto the employees for their response. Likert’s scale was used in the construction of questionnaire. 5- Strongly Agree 4-Agree 3- Neutral 2- Disagree 1- Strongly Disagree. STATISTICAL TOOL To analyze and intercepts collected data the following statistical tools was used. Karl Pearson’s coefficient of correlation. Analysis of variance (ANOVA). KARL PEARSON’S CO-EFFICIENT OF CORRELATION It is widely used mathematical method wherein the numerical expression is used to calculate the degree and direction of the relationship between linearrelatedvariable. Pearson’s method, popularly known as a Pearson’s coefficient of correlation, is the most extensively used quantitative methods in practice. The coefficient of correlation is denoted by “r”. The relationship between two variables x and Y is to be ascertained, then the following formula is used, FORMULA Coefficient of correlation r = ∑ ((x-dx) (y-dy)) √((x-dx)^2(y-dy)^2) Where, dx = mean of x variable dy = mean of y variable ANALYSIS OF VARIANCE Analysis of variance (ANOVA) is used to determine whether there are any significant differences between the means if two or more independent (unrelated) groups (although you tends to only see it used when there are a minimum of three, rather than groups). For this purpose, F-test is used. It is important to realize that the one way ANOVA cannot tell which specific groups were significantly different from each other; it only tells that at least two group’s two groups were different. F = Estimate of population variance based on between samples variances Estimate of population variance based on within samples variances DATA ANALYSIS AND INTERPRETATION ANALYSIS OF VARIANCE AGE HYPOTHEIS HO: There is no significant differencebetweenagewiseclassificationoftherespondent andcustomerrelationshipmanagement. SOURCES OF VARIENCE SS Df MS F P VALUE BETWEEN GROUPS 38.85758 2 19.42879 0.770391 0.466366 WITHIN GROUPS 1941.892 77 25.21938 TOTAL 1980.75 79 INFERENCE The above table shows that f value is 0.77 and p value is 0.46, since p value is greater than 0.05 we accept the null hypothesis and reject the alternative hypothesis. Hence there is no significant difference between age wise classification of the respondents and customer relationship management. GENDER HYPOTHESIS HO: There is no significant difference between gender wise classification of the respondent and customer relationship management. SOURCES OF VARIENCE SS Df MS F VALUE BETWEEN GROUPS 3.692516 1 3.692516 0.039197 0.843562 WITHIN GROUPS 7536.368 80 94.20461 TOTAL 7540.061 81 INFERENCE The above table shows that f value is 0.03 and p value is 0.84, since p value is greater than 0.05 we accept the null hypothesis and reject the alternative hypothesis. Hence there is no significant difference between gender wise classification of the respondents and customer relationship management. OCCUPATION HYPOTHESIS HO: There is no significant difference between occupation of the respondents and customer relationship management. SOURCES OF VARIENCE SS Df MS F P VALUE BETWEEN GROUPS 78.01268 2 39.00634 0.312398 0.732579 WITHIN GROUPS 9988.879 80 124.861 TOTAL 10066.89 82
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 666 INFERENCE The above table shows that f value is 0.31 and p value is 0.73, since p value is greater than 0.05 we accept the null hypothesis and reject the alternative hypothesis. Hence there is no significant difference between occupation of the respondents and customer relationship management. ANNUAL INCOME HYPOTHESIS HO: There is no significant difference between annual income of the respondents and customer relationship management. SOURCES OF VARIENCE SS Df MS F P VALUE BETWEEN GROUPS 23.84906 2 11.92453 0.094987 0.909487 WITHIN GROUPS 10043.04 80 125.538 TOTAL 10066.89 82 INFERENCE The above table shows that f value is 0.09 and p value is 0.90, since p value is greater than 0.05 we accept the null hypothesis and reject the alternative hypothesis. Hence there is no significant difference between annual income of the respondents and customer relationship management. ANALYSIS USING KARL COEFFICIENT OF CORRELATION HYPOTHESIS HO: There is no significant relationship between Customer Relationship Management and Brand Loyalty. Ha: There is a significant relationship between Customer Relationship Management and Brand Loyalty. RESPONDENTS X y dx Dy (x-dx)^2 (y-dy)^2 (x-dx)(y-dy) 1 49 19 -5.875 -1.7875 34.515625 3.19515625 10.5015625 2 53 16 -1.875 -4.7875 3.515625 22.92015625 8.9765625 3 54 21 -0.875 0.2125 0.765625 0.04515625 -0.1859375 4 61 21 6.125 0.2125 37.515625 0.04515625 1.3015625 5 62 21 7.125 0.2125 50.765625 0.04515625 1.5140625 6 64 22 9.125 1.2125 83.265625 1.47015625 11.0640625 7 63 15 8.125 -5.7875 66.015625 33.49515625 -47.0234375 8 61 18 6.125 -2.7875 37.515625 7.77015625 -17.0734375 9 46 20 -8.875 -0.7875 78.765625 0.62015625 6.9890625 10 59 23 4.125 2.2125 17.015625 4.89515625 9.1265625 11 57 23 2.125 2.2125 4.515625 4.89515625 4.7015625 12 53 22 -1.875 1.2125 3.515625 1.47015625 -2.2734375 13 55 23 0.125 2.2125 0.015625 4.89515625 0.2765625 14 50 25 -4.875 4.2125 23.765625 17.74515625 -20.5359375 15 52 23 -2.875 2.2125 8.265625 4.89515625 -6.3609375 16 53 25 -1.875 4.2125 3.515625 17.74515625 -7.8984375 17 54 23 -0.875 2.2125 0.765625 4.89515625 -1.9359375 18 54 23 -0.875 2.2125 0.765625 4.89515625 -1.9359375 19 55 24 0.125 3.2125 0.015625 10.32015625 0.4015625 20 56 21 1.125 0.2125 1.265625 0.04515625 0.2390625 21 49 18 -5.875 -2.7875 34.515625 7.77015625 16.3765625 22 54 19 -0.875 -1.7875 0.765625 3.19515625 1.5640625 23 51 22 -3.875 1.2125 15.015625 1.47015625 -4.6984375 24 54 20 -0.875 -0.7875 0.765625 0.62015625 0.6890625 25 52 22 -2.875 1.2125 8.265625 1.47015625 -3.4859375 26 57 17 2.125 -3.7875 4.515625 14.34515625 -8.0484375 27 56 22 1.125 1.2125 1.265625 1.47015625 1.3640625 28 56 20 1.125 -0.7875 1.265625 0.62015625 -0.8859375 29 46 21 -8.875 0.2125 78.765625 0.04515625 -1.8859375 30 59 18 4.125 -2.7875 17.015625 7.77015625 -11.4984375 31 54 22 -0.875 1.2125 0.765625 1.47015625 -1.0609375 32 56 18 1.125 -2.7875 1.265625 7.77015625 -3.1359375 33 56 21 1.125 0.2125 1.265625 0.04515625 0.2390625 34 58 22 3.125 1.2125 9.765625 1.47015625 3.7890625 35 60 19 5.125 -1.7875 26.265625 3.19515625 -9.1609375 36 52 20 -2.875 -0.7875 8.265625 0.62015625 2.2640625 37 46 23 -8.875 2.2125 78.765625 4.89515625 -19.6359375 38 59 19 4.125 -1.7875 17.015625 3.19515625 -7.3734375
  • 5. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 667 39 59 24 4.125 3.2125 17.015625 10.32015625 13.2515625 40 56 20 1.125 -0.7875 1.265625 0.62015625 -0.8859375 41 50 22 -4.875 1.2125 23.765625 1.47015625 -5.9109375 42 51 24 -3.875 3.2125 15.015625 10.32015625 -12.4484375 43 63 21 8.125 0.2125 66.015625 0.04515625 1.7265625 44 56 18 1.125 -2.7875 1.265625 7.77015625 -3.1359375 45 60 20 5.125 -0.7875 26.265625 0.62015625 -4.0359375 46 54 20 -0.875 -0.7875 0.765625 0.62015625 0.6890625 47 53 24 -1.875 3.2125 3.515625 10.32015625 -6.0234375 48 53 20 -1.875 -0.7875 3.515625 0.62015625 1.4765625 49 52 23 -2.875 2.2125 8.265625 4.89515625 -6.3609375 50 55 17 0.125 -3.7875 0.015625 14.34515625 -0.4734375 51 60 21 5.125 0.2125 26.265625 0.04515625 1.0890625 52 46 19 -8.875 -1.7875 78.765625 3.19515625 15.8640625 53 53 21 -1.875 0.2125 3.515625 0.04515625 -0.3984375 54 52 23 -2.875 2.2125 8.265625 4.89515625 -6.3609375 55 50 18 -4.875 -2.7875 23.765625 7.77015625 13.5890625 56 53 23 -1.875 2.2125 3.515625 4.89515625 -4.1484375 57 56 22 1.125 1.2125 1.265625 1.47015625 1.3640625 58 55 24 0.125 3.2125 0.015625 10.32015625 0.4015625 59 60 15 5.125 -5.7875 26.265625 33.49515625 -29.6609375 60 63 23 8.125 2.2125 66.015625 4.89515625 17.9765625 61 66 24 11.125 3.2125 123.765625 10.32015625 35.7390625 62 60 21 5.125 0.2125 26.265625 0.04515625 1.0890625 63 67 24 12.125 3.2125 147.015625 10.32015625 38.9515625 64 50 24 -4.875 3.2125 23.765625 10.32015625 -15.6609375 65 55 19 0.125 -1.7875 0.015625 3.19515625 -0.2234375 66 56 22 1.125 1.2125 1.265625 1.47015625 1.3640625 67 67 23 12.125 2.2125 147.015625 4.89515625 26.8265625 68 48 21 -6.875 0.2125 47.265625 0.04515625 -1.4609375 69 47 18 -7.875 -2.7875 62.015625 7.77015625 21.9515625 70 57 23 2.125 2.2125 4.515625 4.89515625 4.7015625 71 55 19 0.125 -1.7875 0.015625 3.19515625 -0.2234375 72 45 24 -9.875 3.2125 97.515625 10.32015625 -31.7234375 73 48 16 -6.875 -4.7875 47.265625 22.92015625 32.9140625 74 48 18 -6.875 -2.7875 47.265625 7.77015625 19.1640625 75 53 17 -1.875 -3.7875 3.515625 14.34515625 7.1015625 76 55 20 0.125 -0.7875 0.015625 0.62015625 -0.0984375 77 50 23 -4.875 2.2125 23.765625 4.89515625 -10.7859375 78 53 19 -1.875 -1.7875 3.515625 3.19515625 3.3515625 79 57 18 2.125 -2.7875 4.515625 7.77015625 -5.9234375 80 57 17 2.125 -3.7875 4.515625 14.34515625 -8.0484375 4390 1663 54.875 20.7875 1980.75 483.3875 11.875 Coefficient of correlation r = ∑ ((x-dx) (y-dy)) √((x-dx)^2(y-dy)^2) r = 11.875 978.50385 r = 0.012135 Coefficient of correlation r = 0.012135 INFERENCE The value of correlation r = 0.012135. This shows that there exists a positive correlation between Customer Relationship Management and Brand Loyalty of the company. Hence, we reject the null hypothesis and acceptalternativehypothesis.Itwas found that there is a relationship between Customer Relationship Management and Brand Loyalty of the company. CURRENT PRACTICES OF CUSTOMER RELATIONSHIP MANAGEMENT AT SRINIVASA MOTORS 1. Ensure online platforms are responsive 2. Set up workflows 3. Cross-time employees 4. Creating content and make changes from experiences 5. Put milestones in places 6. Make sure you can customize, personalize and scale for the future 7. Provide proper training and support
  • 6. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD29182 | Volume – 3 | Issue – 6 | September - October 2019 Page 668 8. Automate process 9. Be clear about your pain points and goals 10. Services and customer experiences 11. Have a well-defined implementation strategy 12. Continuously monitor process 13. Maintain flexibility during the process 14. Train your staffs SUGGESTIONS On the basis of the results found from the survey taken on Srinivasa Motors leads to some of the following suggestions. These suggestions are given with account of the improving the standard of the company. 1. There should be more and more emphasis given by the company for satisfying the customer up to apex limit and by providing the utility of every pennyofhismoney. 2. The company should be flexible to bend its rules and procedures in the client favor. 3. The company can communicate and develop stronger customer bonding by providing social and financial benefits. 4. The number of experienced workers increased,thenthe efficiency of the production will increase with less material wastage, less material resources etc.., 5. The majority volume of the customer in the industry is satisfied with employee’s relationship. But, still a considerable volume of the customers are giving a neutral opinion regarding the topic of interest. The management should take necessary steps so that this volume of customers also gets satisfied. 6. The company maintains frequent communication with the customers. As soon as the product is ready or a new product is launched the information is provided to the customers. Communicationisalsonecessarytomaintain the interest of the customers in the company. 7. The company has focused on thecustomer relationship management and has also suggested how to maintain their relationship has to be achieved. This will improve relationship with customers successfully focusing on customer’s satisfaction and ultimately driving sales growth. CONCULSION Customer relationship management is an approach to manage a company’s interaction with current and potential customers. It uses data analysis about customers’ history with a company to improve business relationship with customers, specially focusing on customer’s retention and ultimately driving sales growth. The object of the study is to deal with customer relationship managementandtofindthe current practices of CRM. This study examined factors such as satisfaction of customer in the company. It was found that by using Anova, to study the relationship between overall demographic variable and Customer Relationship management on perception of customers at Srinivasa Motors private limited in Puducherry. By using correlation, there is no significant correlation among the customer relationship management and brand loyalty. The suggestion is given to employees in manufacturing sector it is very important to understand the customer preference and to maintain good relationswithitscustomers.Theyhave retained the customer for a long time to avail the benefit of the relations. It is helpful in increasing emphasis for satisfying the customer and develop stronger customer bonding. From this study it can be concluded that the customer relationship management in company is satisfactory. The company using various CRM practices like customization of the product, maintaining interaction with the customers regularly and providing good quality product. The company maintains frequent communication with the customers. As soon as the product is ready or a new product launched the information is provided to the customers. REFERENCES [1] Swift, R. S., Accelerating customer relationships using CRM and relationship technologies (Prentice Hall, 2000). Venetis, K. A. & Ghauri, P. N., "Service quality and customer retention: Building long – term relationships, European Journal of marketing" Vol.38, No. 11/12, 2004. [2] Kumar, V. & Reinartz, W., Customer relationship management: A data based approach (N. Y. John Wiley, 2006). [3] Payne, A. & Frow, P., "A strategic framework for Customer relationship management, Journal of Marketing, No. 4, Oct. 2005. Sekaran, U., Research methods for business: A skill- Building approach (John wiley & sons, Inc., 1992). [4] Verhoef, P. C.," Understanding the effect of customer relationship management efforts on customer retention and customer share developmet”, journal of marketing, Vol.67, No.4, oct.2003. [5] Parvatiyar, A. &Sheth, T. N., "Customer relationship management: Emerging practice, process, and discipline", Journal of Economic and Social Research, Vol.3, No.2, 2002. [6] Zablah, A. R. and et.al. “An evaluation of divergent perspectives on customer relationship management: towards a common understanding of an emerging phenomenon", Industrial Marketing Management, Vol.333, 2004. [7] Rababak, k. (2011). Customer relationship management (CRM) processes from theory to practices: the pre implementation plan of CRM systems. International Journal of e-education, e- business, e-management and e- learning, 1(1), 22-28.