Dreaming Music Video Treatment _ Project & Portfolio III
Effects of relationship marketing (rm) on customer loyalty case study mehr bank, kermanshah province, iran
1. CASE STUDY: MEHR BANK,
KERMANSHAH PROVINCE, IRAN
EFFECTS OF RELATIONSHIP MARKETING
(RM) ON CUSTOMER LOYALTY
PRESENTED BY:
AMBU GYAWALI
ANITA K. LUITEL
AYUSH NEPAL
BARSHA SHRESTHA
BIDUR KOIRALA
2. Introduction
• This paper investigates the relationship between the
components of relationship marketing and customer.
• The study empirically examines the actual impact of the
components of relationship marketing on customer
loyalty.
• Accordingly, the study is divided into five sections.
• 2nd Section discusses the literature review.
• 3rd Section consists of methodology
• 4th Section Data Analysis, model and hypothesis made in this study.
• 5th Section Data interpretation and results
2
3. Literature Review
3
Berry (1983) Relationship marketing is the strategy to attract, maintain and enhance
customer relationship.
Gummesson
(1993)
RM is the strategy in which the management of interactions,
relationships and networks is a fundamental issue.
Gronroos (1994) The aim of relationship marketing is to establish, maintain and enhance
relationships with customers and other partners, at a profit so that the
objectives of the parties involved are met.
Rapp and Collins
(1990)
The goal is to create and maintain lasting relationships between the firm
and its customers that are rewarding for both side. This can achieved by a
mutual cooperation and fulfillment of promises.
Oliver(1999) RM is deeply held commitment to re-buy or re-patronize a preferred
product or service in the future despite there are situational influence
and marketing efforts having the potential to cause switching behavior.
4. 4
Purpose & Significance
• To investigate the relationship between the components of
relationship marketing and customer loyalty in Mehr Bank in
Kermanshah province, Iran.
• The study is important to know the factors that might have
impact on customer loyalty.
• With this study, banking sector may determine the key variables
affecting the customer loyalty so as to gain quality sources of
marketing intelligence for better planning of marketing strategy.
• Firm may achieve higher level of loyalty among customers by
understanding such relationship of firm-customer relationship.
• This study will assist in better management of firm-customer
relationship.
5. 5
Methodology
• This study is descriptive- analytical research.
• In this study, correlation analysis and multiple regressions
are used to predict the relationship between the five
components of relationship marketing and customer
loyalty.
• Samples selected using Simple Random Sampling
Method.
• Sample size of 384 persons (determined by Cochran’s
formula.)
6. 6
Methodology
• The study uses standard questionnaire in order to gain
Mehr Bank customers’ views which includes subset of 24
items for five constructs of RM & 3 items for loyalty.
• All items were measured by responses on a five-point
Likert scale of agreement with statements, ranging from
1= strongly disagree to 5=strongly agree.
7. 7
Construct Items Cronbach's a Internal consistency
Questionnaire 27 0.87 Good
Trust 6 0.86 Good
Commitment 4 0.87 Good
Communication 5 0.87 Good
Conflict handling 4 0.86 Good
Competence 5 0.86 Good
Loyalty 3 0.87 Good
Table 1: Cronbach’s a of Constructs
9. 9
Hypotheses Pearson C. C. Sig Result
H0: There are relation between RM and Customer Loyalty. 0.75 0.000 Confirmed
H1: There are relation between trust and Customer Loyalty. 0.83 0.000 Confirmed
H2: There are relation between commitment and Customer Loyalty. 0.77 0.000 Confirmed
H3: There are relation between communication and Customer Loyalty. 0.75 0.000 Confirmed
H4: There are relation between conflict handling and Customer Loyalty. 0.66 0.001 Confirmed
H5: There are relation between competence and Customer Loyalty. 0.73 0.000 Confirmed
Table 2: Pearson Correlation Test
10. 10
Table 3: ANOVA
Model
Sum of
Squares d.f. Mean Square F Sig
Regressions 29452.765 5 5890.553
2432.113 0.000
Residual 914.344 378 2.4
Total 30367.109 382 0
Table 4: Multiple Regression Coefficient
Model R R2 Adjusted R2 Std. Error
Durbin-
Watson
1 0.965 0.931 0.931 1.64 1.66
12. 12
Conclusion
• Pearson Correlation Test shows that there exists relationship between
components of Relationship Marketing (RM) such as:
• Trust
• Commitment
• Communication
• Competence
• Conflict Handling &
• Customer Loyalty
• Regression test shows that all of the components of Relationship
Marketing (RM) in the study have impact on Customer Loyalty & 93.1
percent of the independent variables can predict the dependent
variable changes.
13. 13
Conclusion
Based on test results of the first hypothesis
• Suggests that not to be doing something wrong and staff have
complete information about matters and have polite behavior
and create trust.
• The integrity and empathy will impact in increased confidence.
• Also, by making promises to customers and eliminate the
worry of security transactions, provide quality service to
customers and respect to customers by the staff and the
obligations undertaken of the bank can caused trust in
customers.
14. 14
Conclusion
Based on test results of the second hypothesis
• Services will be provided according to customer requirements
and banks can be done flexibly in providing services and changes.
Based on test results of the third hypothesis
• Information will be given reliably, timely and completely to
customers.
Based on test results of the fourth hypothesis
• Managers and staffs must be aware of subjects that make
conflicts between them and their customers and should be able
to manage this conflicts and to avoid conflict it is better that all
informations should be clear between bank and customers.
15. 15
Conclusion
Based on test results of the fifth hypothesis
• Staff need to be aware of market conditions & customers and
be able to assist clients in matters relating to investments in
bank.
• The staffs must provide effective and efficient advertising for
better banking experience.