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Assessing the Relationship between Service Quality and Customer Loyalty: Evidence from Takaful Insurance Customers in Pakistan Muhammad Tayyab Kashif * , Adeel Anjum , Muhammad Ashfaq , Muhammad Azeem § and Muhammad Kashif Khurshid ** Abstract The present study was done to check the impact of service quality on customer loyalty in the context of Takaful Insurance sector of Pakistan. The main objective of the research was to empirically examine the impact of service quality on customer loyalty and also to check the effect of customer satisfaction and trust on customer loyalty. The study was conducted in Faisalabad Region. 204 customers of EFU Insurance, were selected as sample to complete the study. Response Rate was 100%. Data was analyzed through statistical analysis 20.0 in which histograms, scatter plots, correlation, and regression analysis were applied to the data. The empirical evidences of correlation analysis show that service quality has strong correlation with the customer satisfaction, trust and customer loyalty. The results also confirm the correlation between customer satisfaction and trust. The results of regression analysis show that the service quality, trust, and customer satisfaction have strong and positive relationship with the customer loyalty. Further the benefits and limitations of the study are discussed. This study fulfills a research gap in the area of customer loyalty and its relationship with the service quality, satisfaction, and trust in the Takaful Insurance sector of Pakistan. Keywords: Service Quality; Satisfaction; Trust; Customer Loyalty; Takaful Insurance; EFU Insurance; Introduction Insurance in Pakistan is governed by the insurance provisions, 2000, in recent years, as it is a rapidly growing and growing market, which is usually divided into three components: life insurance, general insurance and health insurance. The Pakistani government established the Department of Insurance in April 1948 as the Department of Commerce. * Muhammad Tayyab Kashif, Lecturer Government College University Faisalabad, Pakistan Adeel Anjum, Lecturer Government College University Faisalabad, Pakistan Muhammad Ashfaq, Visiting Lecturer Baha ud Din Zakria University, Layyah Campus, Pakistan § Muhammad Azeem, Visiting Lecturer Government College University Faisalabad, Pakistan. Email: [email protected] ** Muhammad Kashif Khurshid, Lecturer, Department of Management Sciences, National University of Modern Languages (NUML) Faisalabad Campus

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Page 1: Assessing the Relationship between Service Quality and ......Customer Loyalty: Evidence from Takaful Insurance Customers in Pakistan Muhammad Tayyab Kashif*, Adeel Anjum†, Muhammad

Assessing the Relationship between Service Quality and

Customer Loyalty: Evidence from Takaful Insurance

Customers in Pakistan Muhammad Tayyab Kashif

*, Adeel Anjum

†, Muhammad Ashfaq

‡,

Muhammad Azeem§ and Muhammad Kashif Khurshid

**

Abstract The present study was done to check the impact of service quality on

customer loyalty in the context of Takaful Insurance sector of Pakistan.

The main objective of the research was to empirically examine the

impact of service quality on customer loyalty and also to check the

effect of customer satisfaction and trust on customer loyalty. The study

was conducted in Faisalabad Region. 204 customers of EFU

Insurance, were selected as sample to complete the study. Response

Rate was 100%. Data was analyzed through statistical analysis 20.0 in

which histograms, scatter plots, correlation, and regression analysis

were applied to the data. The empirical evidences of correlation

analysis show that service quality has strong correlation with the

customer satisfaction, trust and customer loyalty. The results also

confirm the correlation between customer satisfaction and trust. The

results of regression analysis show that the service quality, trust, and

customer satisfaction have strong and positive relationship with the

customer loyalty. Further the benefits and limitations of the study are

discussed. This study fulfills a research gap in the area of customer

loyalty and its relationship with the service quality, satisfaction, and

trust in the Takaful Insurance sector of Pakistan.

Keywords: Service Quality; Satisfaction; Trust; Customer Loyalty;

Takaful Insurance; EFU Insurance;

Introduction

Insurance in Pakistan is governed by the insurance provisions, 2000, in

recent years, as it is a rapidly growing and growing market, which is

usually divided into three components: life insurance, general insurance

and health insurance. The Pakistani government established the

Department of Insurance in April 1948 as the Department of Commerce.

* Muhammad Tayyab Kashif, Lecturer Government College University

Faisalabad, Pakistan † Adeel Anjum, Lecturer Government College University Faisalabad, Pakistan

‡ Muhammad Ashfaq, Visiting Lecturer Baha ud Din Zakria University, Layyah

Campus, Pakistan § Muhammad Azeem, Visiting Lecturer Government College University

Faisalabad, Pakistan. Email: [email protected] **

Muhammad Kashif Khurshid, Lecturer, Department of Management Sciences,

National University of Modern Languages (NUML) Faisalabad Campus

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 336 Volume XI Number 03

The purpose of this department is to focus on issues related to

the insurance industry. Of the 54% of the Pakistani service sector

contributing to gross domestic product, insurance, along with transport,

warehousing and financial services accounted for 24% of the sector.

Successful Customer Relationship Manager plays an important role in

developing a business and communicating with customers is achievable

to improve common relationships with customers, and it allows for

sufficient and effective data management for buyers. In this aggressive

environment, customers have many options, banks aim to drive

customer's strong customer loyalty, high customer loyalty, and

strengthen their relationships to keep money as the main current / new

location, and update value chain and customer. By assisting this

approach, it can help banks maximize customer revenue, as well as

customer loyalty and reliability. Over the last few years, in managing

budgets, the organization has focused its attention on customer

relationships and one of the most important leaders' interests. This is a

great dynamic template in customer relationship and expects it to

continue in the coming year. Most of the financial institutions are

struggling, and many of them send new relationships with customers

running through market communications (publishing, supplying

personalization, disclosure of operations, discovery, and direct

representation). Then the budget organization did not do it again.

Package study has been done on the geothermal of this area and

the progress in replacing expectations in Pakistan, but no one has

examined the link between the demonstrations of correspondents and the

association and the experts in the study. In this investigation, the

authorities will monitor one part of the show of correspondence in

building an incredible customer relationship when dealing with breaking

the Pakistani record. The main purpose of organizations should become

customer's confidence and profit. They must know that all connections

are not controlled. Therefore, one branch is that all experts must accept

the scale of adequacy with appropriate dimensions for the state-of-the-art

relationship. The study will strengthen the tools for managing customer

relationships through which they have presented one of the best methods

of advertising correspondence and studies suggesting that the

administration involved in the implementation of the promotional

communication protocol scheme shows his correlation that he intends to

consider the goal of achieving the outcome.

The module is determined by focusing on the structure of

processes and ideas and results, not specifically specific, instead of

subject. By looking at this advertising correspondence will in fact help

the individual students and staff to be exchanged in audit, which includes

Page 3: Assessing the Relationship between Service Quality and ......Customer Loyalty: Evidence from Takaful Insurance Customers in Pakistan Muhammad Tayyab Kashif*, Adeel Anjum†, Muhammad

Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 337 Volume XI Number 03

the training or the center of the results of the study. The plot allows for

differing views from the variety of qualified and scientific orders that

need to be traded. The importance of this study includes many recipients

this study contributes to managers, researchers, academics, policymakers

and other stakeholders. The managers who are responsible for the

attention of those sections or the promotion of correspondence

management of messaging accounts can benefit from this study. This

enables participants in their field of research to identify by dividing

money, sharing information or message. For current and future analysts

who are thinking about market data in the industry.

The study suggests that the administration updating the ad network

should plan its efforts to promote correspondence with specific goals in

order to achieve desired results. From one perspective, this study will

help the student.

This review will help partners demonstrate interest in building

relationships with clients and updating the process.

The study will be used as a tool for developing and testing test

benchmarks.

This will assist manufacturers to develop core technologies in their

respective areas and provide information on the importance of

achieving a high level of customer relationship management.

The main purpose of the study is to evaluate portions of the

interactive showcase in building great customer relationships while

keeping the distribution of money. Similarly, learners will be able to

conduct depth studies to varying degrees and move to action requests

that are open doors or an issue in their work. They also help them

develop development techniques in their current conversation or

customer-related arrangements to be implemented.

Literature Review

Advertisement:

Cummings (1984) stated that the researchers said the statement

involved a few publications as part of improving basic communication.

Correspondence is at the core of planning behavior, in any formal

environment, and the promotion of relationships is an exception.

Poovalingam and Veerasamy (2007) look at the impact of improving

communication with consumers, promoting the benefits of cellular

service providers. They have shown that most of the mobile subscribers

are satisfied with their efforts, sending administrative agencies and

equipment used by specialized suppliers are believed to be in the

administration of Speed Connection. Gummesson (2002) said that

conditions for improving communication, presentation of

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 338 Volume XI Number 03

correspondence can be more comfortable, nearer, and business

associations, and more with goals that do not make advertising and

competitors - other marketing contacts

Verhoef (2003) evaluated the impact of advertising efforts on

customer support and increasing customer market share. The main

highlight result from this study is that the full complement of duty is the

prerequisite of both customer support and the development of customer

sharing. This results incompatible with the delayed finding that the start

does not affect customer support. It is known that RMI may affect

customer support and increase customer market share. Coordinate postal

items with "activity suggestions" It's good to upgrade your client share

after a while. Abideen and Saleem (2003) examined the relationship

between autism and the natural reaction and attitude of the buyer's

enthusiasm and attitude. The consequences of the study's focus have

clearly shown that there is no power link between the nature and buyer's

behavior, including the behavior and behavior of the purchasing

behavior. Enthusiastic reactions once again have established a consistent

relationship with customer behavior.

Sales promotion:

Leverin and Liljander (2006) focused their efforts on operational

development to improve customer satisfaction and stability? The study

examines the relationship with retail banking technology and examines

whether customer relationships are strengthened through the continued

support of monetary relationships and respect for the banks. This finding

demonstrates the contradiction between individual customer ratings

between administrative relations or their credibility with the bank.

Additionally, a relaxation check found that communication was less

important, which was a determinant of confidence in productivity.

Rehman and Ibrahim (2011) have found many difficulties and fates of

incentives for business coordination. The results of the study were

included as a show of interaction, a help for components of a mix of

time-bound, whether it's a publication. Ad intermediation, Intuitiveness /

Internet Presentation, Development Agreement, Reputation / Advertising

or Individual Offer. The difficulty of the IMC is the rapid development

of information bases.

Nysveen (1999) examined system performance for a Norwegian

banking request. User loyalty has been found to have the greatest impact

on progress and popularity, while the costs and costs of persecution,

despite the strong criticism, have the most effect. Their findings suggest

that the acceptance or accountability of account-based account

management is like at the supermarket. Ogunsiji and Odunlami (2011)

look at whether a specific growth approach that is covered at a particular

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 339 Volume XI Number 03

time affects the size of the organization's business, besides resolving the

effects of progress on the hierarchical process. The show said the

progress of the deal had a profound impact on the hierarchy. Promoting

Operations is an activity in which an association tries to extend the scope

of operation or testing of an item or program (for example, activities that

are not covered by different components of a particular business center

or mix.

Pour, Nazar and Emami (2012) examined the impact of

providing subscriber updates on download. The reason for this research

is to look at the supply efficiency of the growth of customer recruitment

to Saderat Bank in Kermanshah province. The factors of this study are

the promotion of the presentation of consumer input components and

consumer decisions. It has been found that the component in business

growth has been noticeably noticeable in keeping customers. This means

the bank has a lot of benefits. Rexha (2003) found that users' loyalty to

the bank was subject to fraudulent selection of fraudulent requests. They

also argue that trying to use barriers, access to useful administrative

machines, and beautiful interface, openness, security, and data

reorganization are factors that affect client choice.

Individual offering:

Olumoko, Abayomi, Abbas and Adebou (2012) look at one part

of the individual offer to enhance consumer protection practices in

Nigeria. The findings suggest that the individual auction procedure is the

most effective promotion of specialized tools that are seen by Nigerian

companies. It can also be used to improve business image. Osuagwu

(2002) An individual offer can be called a creative offer. It includes

specialized helpdesk and customized guidance for customers by

businesspeople. This type of individual offer is most reasonable for

specialized products such as the security administration. Offering

specialized expertise and requiring powerful capabilities for the

businessman, referring to the ultimate goal of persuading customers, he

made him aware of the value of product output.

Mihart (2012) Review the Impact of Personal Offering on Buyer

Behavior: Impact on Customer Decisions. He separates the view that the

buyer's items are affected by the physical properties of the item alone,

and sometimes the properties that promote the on-premises conversation

have gained brand image and brand separation and individual offers

appeared at the entrance. Potluri (2008) evaluated the adequacy of the

Media Advertising Component in the Ethiopian administrative section.

Studies have shown that the promotion and marketing of the Ethiopian

Administrative Department has shown that the major implications of

providing data, raising awareness and changing the state of mind and

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 340 Volume XI Number 03

image of the organization of the building and the commitment of the

branding program.

Ekhlassi, Maghsoodi and Mehrmane (2012), who have decided

to provide individuals with specialized tools for various stages of

customer relationship at computer time. The reason for this article is to

consider the purpose of the equipment and the media to adapt to the stage

of customer relationship and provide the model to the show. The main

factors of this study are close to home, providing correspondence, long

term customer relationship management and web sites. The findings of

this study are that data generation and correspondence provide many

opportunities to establish bilateral relationships with clients. Acumba

(2004), a new sales business, is used to gain new records for

manufacturers. This includes businesspeople who are looking for new

open doors or new customers for the organization's position in their

domain. Getting a new record may be less important and requires

specialists. Under these circumstances, the most experienced sales

representative for the organization was used.

Public Relation:

Andersen (2001) emphasized people to improve communication

and advertising communication: an integrated model. He fired four

firearms that promoted an ad-hoc connection, channel connection, and a

super performance. The discovery of this book follows a pattern to

practice such, which, depending on the refinement and attainment here,

and the logo, the concept found in this explanation is made up of

hypotheses. Wahab (2009) examined the relationship between the

administration's performance of customer relationships and the e-

government approval of the account. Research shows that GCR

implementation impacts the impact on e-savings. At the end of the day,

it's been proven to be customer loyalty, unfortunately, we expect changes

to maintain and have an unofficial impact on cash selection, as they are

the main performance measure of the customer relationship

administration.

Mohr and Spekman (1994), although this method shows the

relationship, noted that correspondence related to trade data, a shift

change and improving dialogue and communication management in the

market, the tendency is to assume that the majority of the services are

starting to promote the correspondence in the first phase and stage Of

creating customer relationships. Ryals and Bonds (2001) focused on

cross-cutting questions to seek out linkages by managing customer

relationships. The motivation behind this study is to examine three major

issues that may (or impede) progress in customer relationship

management. The exact result of the study is an adjustment in the way

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 341 Volume XI Number 03

the organization navigates when the business changes from a client

structure.

Direct Marketing:

Mr. Wang (2012) describes the responsibility of trust and

communication between wholesalers, direct suppliers and consumers.

The findings in this study show that attitudes and shared

entrepreneurship affect the passionate trust of the subject. Likewise, trust

and emotional well-being affect the obligation to communicate with

customers. Hasouneh and Alqeed (2010) have fired to measure the

success of direct marketing of emails in building customer relationships.

This study provides a positive relationship between clickable fractions

and communication movements recognized as directories, contacts, or

downloads of modern materials. Mathur (2010) A remarkable

commitment to other research ranges is used as part of this study. In

particular, the Creator provides a wide variety of specific systems for

managing customer relationships and laws used by diverse organizations.

His findings can be contrasted with the main findings of the

investigations proposed in the Proceedings by keeping the observation of

the coverage covered.

Tsikirayi, Muchenje and Katsidzira (2009) Impact of the Built-in

Advertising Kit (IMCM) in Small and Medium Business (SME) in

Zimbabwe as an advertising tool. However, the study will focus on the

viability of taking small IMCM efforts, not immediately impressed with

the scores of the various components of the IMCM. The study also found

that the rule in the vast majority of SMEs, emphasized the need for the

promotion of this correspondence, "not to mention the exchange rate

coordination, showing the fusion of an employee. Hack and Josh (2011)

evaluated the presentation of the corresponding design of brand new

ideas and move in the past. Regular Display Compatible The toys can be

made more successful by thinking about the timing and scope of the

messages from the brain to the customer. Amoako (2012) to ensure full

support to promote. Here is a correspondence analysis of the context of

their struggle Airtel Ghana understatement considering the subsidies as a

way of contributing decisively to the implementation of the changes,

they claimed The support contributes decisively to the implementation of

advertising and correspondence. The increasing prestige.

Good Customer Relation:

Exclusive competition in business and consumer relations should

be used as Sinisalo, Salo of Karjaluoto and Leppäniemi (2006), claiming

that there is a gradual clientele having the ability to select channels used

to communicate with the organization. By using this mobile innovation,

customers can always find and organizations are able to cope with these

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 342 Volume XI Number 03

clients in a viable way. Mueller (2010) describes the management of

communication with large business customers, encouraging this

correspondence, claiming that the organization needs to be active in the

development of major projects and activities with a specific end goal to

build their respective field of focus. Sinkovics and Ghauri (2009) refer to

the need for engaging in customer relationships with higher costs for

direct deals, specifically increasing global competitiveness and data

needs for different parts of the business in general, which can be used to

expand this sector of deliveries.

Bhatia's work (2008), "Retailer Retail Management", will be

used as part of the proposed focus due to the importance of commitment

to working towards research sites. It provides a box set by using a card

slump, a card commitment from a retailer, and it talks about the positive

relationship between the supermarket's business and building customer

relationships. Peppers and Rogers (2011), trends all over the world in

communicating with customers, are set with changes from templates

based on cost to a link. Since they claimed that both great customers

needing as a result of today's exchange are inadequate in order to ensure

long-term organizational development. Lindgriyn and Antoine (2004)

presented a comprehensive audit of writing, giving the GCR General

Commenting Enterprise, which is linked to the European Design,

Analysis, and Practical Context of Context.

Koutiziakoutizidou and Sariannidis (2010) examined the impact

of building a customer relationship into the department's management

department. Focusing on responding to the address of the customer's

address is the basis for the growth of trust and accountability followed by

the client's administrative capacity. For most part, the bank's low interest

rates and lending and management cannot attract the customer's

commitment to interact with the bank. Deshmukh (2010) has discovered

many complications of displaying good correspondence with customers,

savings in business banking in the Indian industry. Initially, this study

provides a customer relationship plan that shows that it has taken

position at all important stages in the bank. In addition, the findings

reflected the customer base at the bank may have unsupported Duos

hardware support systems. Third, it shows that customer satisfaction and

practical links to business practices are severe and productive. This

would not be beneficial if the customer leaves the bank and the reasons

for the departure are not limited and unnecessary.

Research Methodology Research Philosophy

Post positivism was used in the study, for various reasons, such

as I would have a bias in the study with all my personal views were

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 343 Volume XI Number 03

interviewed announced the formal style used in this study, the data will

be collected through a survey conducted through questionnaires and

quizzes will end very close tabs December 5. According to my model, I

will use a quantitative method. In a positive research / science,

researchers are involved in acquiring world-class knowledge using

scientific research methods. The sample-based approach includes

experiments and studies where quantitative data are standard.

Methodology of analysis using statistical or mathematical procedures

commonly used and conclusions excluded from limiting this finding may

be used to provide evidence to support or hypothesize the disruption

generated at the beginning of the research process; In other words, by

cutting, not by induction.

Research Approach

When using the positivism model, it is clear that he will use a

quantitative research approach, so it will be used to examine the role of

market communication to build strong relationships with customers in

the banking sector. A quantitative survey determined by its purpose, as it

intended to identify this issue and determine how it was spread, finding

transparent results for large populations. Here, the majority of data

collection is done through studies and studies, including experiments.

The short study is about statistics. Quantitative research asks how much.

The emphasis on quantitative research is to get a range (for example,

little information about some things). In this study, I have to rely on

statistical data in quantitative studies to study data. The number of people

selected for the study (the role of market communication to build a good

relationship with clients in the banking sector) is account holders in

different banks. The population is my group in the study as a group in

which I want the results of the survey to be summarized. The number of

people the researcher wants to summarize is called a target group. The

number of people that the researcher can select is called people available

or available.

Davis, TD (2011) claimed that if the band of money was

spreading geographically, the group could lead to a lot of time and effort.

Therefore, it is important to select models and be an important step in the

study. The "good" model is a model that represents the people of the

election. For this model, the student will have access to a student (bank

account) and elected officials who know how to carry out marketing

communications. Since there are two basic techniques for samples that

are technically probabilistic and not for sampling, which will use a

technique that is likely to be used, there is no extra comfort. The sample

size for this study is 150.

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 344 Volume XI Number 03

Data collection

There are two most simple ways to collect data: Primary and

Secondary Data Collection. In this study, I will use the collection of

critical data that data are collected using the quiz. Usually they have

questionnaires that cover a particular topic and collect information and

views from respondents on topics related to research. Primary data will

be collected using a quiz for study based variables. If you have already

collected this information. Since many studies have been done to test the

impact of market interactions in different perspectives at different times

and in different markets. No significant research has been done on the

banking sector to test the impact of market relations on customer

relationship building. That's why I need to know new data collected from

the market gathered from the quiz. For data analysis, it is initially applied

to SPSS 16, followed by different tests used in the data calculated in the

program to verify the results of the research. Two types of data analysis

are used.

Descriptive analysis is a rule that describes key features of data

collection. The purpose of discipline is to summarize a set of data. This

differs from the breakdown of analysis, where data are used to study

objects that represent data (Reinartz, 2004). Brinkman, (2003)

Description Stats include the statistical procedure we use to describe the

people we are studying. Data can be collected from samples or from

people, but the results help us to organize and describe the data.

Descriptive statistics can be used to describe the group being studied.

This means the result is not summarized to the big group. Parasuraman &

Berry (2006) is a useful description and is provided if you do not need to

expand your results to a larger group. But most of the social sciences

incorporate a study that gives us "universal" truths about parts of the

population, like all the parents, the women, all the victims. Mid-

frequency frequency distribution (Medium and Mode) and graphics such

as pie charts and diagrams that describe the data are examples of

descriptive statistics.

Jalees (2006) stated that Internet statistics are a statistic used to

make a statement for the population. These statistics depend on the use

of random sample techniques to ensure that a model represents the entire

population. They differ from the description statistics that show only

their own statistics. Adeolu (2005) argues that psychological statistics are

worried with estimates or conclusions for the population from surveys

and sample analyzes. This means that we can take the results of the

analysis with the help of the model and summarize it to the people who

represent the model.

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Journal of Managerial Sciences 345 Volume XI Number 03

The proposal of the proposed study is useful and not harmful to

participants and society.

Confidentiality and confidentiality are maintained at all times,

and all findings have led to personal information or information that may

be published in the survey. In this study, the welfare of the participants is

most important. The research is always of secondary importance. This

means that if there is an option to make between the destruction of the

participants and the damage to the study, it is a cost-effective study.

Researchers respect human rights for free choice and ensure that

respondents understand the problem. Researchers provide insight into

what the participants have to offer. All participants have the opportunity

to withdraw from the poll at any time without penalty. All findings and

results show the latest incidents reported in the report. There are no false

or allegations contained in the final report. Reflecting on the results of

this study accurately depicts the surveyed researchers.

Research model

Given below is the research model for this studythe independent

variables of this study are advertising, personal selling, sales promotion,

public relation and direct marketing whereas dependent variable of this

study is good customer relationship.

Figure 1 Conceptual Model

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 346 Volume XI Number 03

Results and Findings

Table 1: Reliability Analysis

To check the reliability of the weather data, the data collected is reliable

or does not verify the reliability of the variable. The price of Alpha

Cronbach's reliability measure if the value is over 0.7 is reliable, and if

the price is less than 0.7, the data is untrustworthy. So the value of the

alpha Cronbach variable in the study is as follows: Advertising is 0880,

Sales promotion is 0876 Personal Sales is 0842, Public link is 0890,

Direct market is 0.839 and Customer Relationship is good 0.877. Since

the value of all Cronbach alpha variables is more than 0.7, the data

collected is trustworthy.

Table 2: Correlations among variables

Correlation Matrix

ADVT SPcom PScom PRcom DMcom

ADVT Pearson

Correlation

1 .549**

.452**

.518**

.428**

Sig. (2-tailed) .000 .000 .000 .000

N 150 150 150 150 150

SPcom Pearson

Correlation

.549**

1 .352**

.512**

.451**

Sig. (2-tailed) .000 .000 .000 .000

N 150 150 150 150 150

PScom Pearson

Correlation

.452**

.352**

1 .431**

.530**

Sig. (2-tailed) .000 .000 .000 .000

N 150 150 150 150 150

PRcom Pearson

Correlation

.518**

.512**

.431**

1 .620**

Sig. (2-tailed) .000 .000 .000 .000

N 150 150 150 150 150

DMcom Pearson

Correlation

.428**

.451**

.530**

.620**

1

Sig. (2-tailed) .000 .000 .000 .000

N 150 150 150 150 150

Sr. Variable Name No. of Items Value of Cronbach’s

Alpha

1 Advertising 3 .880

2 Sales promotion 3 .876

3 Personal selling 3 .842

4 Public relation 3 .890

5 Direct marketing 3 .839

6 Good customer relation 3 .877

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Future of Marketing and Management (FMM 2017)

Journal of Managerial Sciences 347 Volume XI Number 03

The value of R Sq is equal to 0.306 and the value of the line R

Sq is 0302. The difference between two values (0306-0302) is 0.004

which can be over 0.05, so it will be implemented Pearson Coalition. The

value of R Sq Quadratic is 0.213 and the value of the line R Sq is 0.204.

The difference between two values (0213-0204) is $ 0.009, which is

more than 0.05, so it is related to the Pearson Concept, Sales, Advertising

and Personalization. The R Sq value is 0,272 and the value of the R Sq

Linear is 0,688. The difference in two values (0272-0268) is 0.004,

which is less than 0 05 so that Pearson's involvement will be applied to

this fascinating story advertisement, and public relations. The R Sq value

is 0,204 and the linear R Sq value is 0,183. The difference between two

values (0204-0183) is 0.021, which is less than 0.05, so Pearson

implication will be applied to the advertisements of this method and the

market directly. The value of the straight-value R Sq is 0,124 and the

value of the line R Sq is 0,124. The difference between two values (0,124

to 0,124) is 0.00, which is less than 0.05, so Pearson's involvement will

be applied to this disruption to promoting sales and personal sales. The R

Sq value is equal to 0.282 and the linear R Sq value is 0.262. The

difference in two values (0282-0262) is 0.02, which is less than 0.05.

Therefore, Pearson's involvement will be applied to this disruption to

promoting sales and public relations.

The value of R Sq Quadratic is 0,222 and the linear R Sq value is

0,203. The difference between two values (0222-0203) is 0,019, which is

less than 0.05, so Pearson-related apply to ads and direct marketing

disruption. The value of R Sq is 0,198 and the linear R Sq value is 0,185.

The difference between the two values (0189-0185) is 0.004 which can

be over 0.05, so that Pearson implies will apply this mirror on a portion

of personal sales and public relations. The R Sq value in value is 0.298

and the linear R Sq value is 0.281. The difference between the two

values (0298-0281) is 0,017, which is less than 0.05, so Pearson's

involvement will be carried out on this story, personal sales, glasses and

direct marketing. The value of the R Sq value in the value is 0.385 and

the linear R Sq value is 0.385. The difference between two values (0385-

0385) is 0.00 which can be over 0.05, so Pearson's involvement will be

applied to the feeling of public relations and the direct distribution of this

mess.

First, see Advertising and Sales Promotion, the importance of

being important is 0.00, which can be more than 0.05, so there is a

correlation between major advertising and sales ads. The value of

Pearson's r is 0.549, which means that there is a positive base ratio, and

that the relationship is strong between these variables. In disseminating

personal sales issues, 0.00 is worth less than 0.05, so there is a

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correlation between major ad sales statistics and sales. The value of

Pearson's R is 0.452, which means that there is a positive gateway

relationship and the power of relationships is there between these

variables. In public audio advertisements, the value of importance is 0.00

less .05 So there is a link between statistics and the public. The value of

Pearson's r is 0.518, meaning that there is a positive base relationship and

the relationship between these variables. In direct marketing ads, the

value of the key is 0.00, which is less than 0.05, so there is a link

between statistics and personal sales. The value of Pearson's r is 0.428,

meaning there is a positive base relationship, and there is a limited

relationship between these variables.

Table 3: Model Summary

Model R R

Square

Adjusted R Square Std. Error of the

Estimate

1 .577 .335 .340 .741

Model Sum of

Squares

Df Mean Square F Sig.

1 Regression 35.361 1 35.361 59.098 .000

Residual 88.556 148 .587

Total 123.916 149

Model Sum of

Squares

Df Mean

Square

F Sig.

1 Regression 42.736 1 42.736 76.812 .000

Residual 81.180 148 .549

Total 123.916 149

Model Unstandardized

Coefficients

Standardized

Coefficients

T Sig.

B Std.

Error

Beta

1 (Constant) 2.051 .199 10.331 .000

ADVT .490 .056 .577 8.827 .000

Model R R

Square

Adjusted R Square Std. Error of the

Estimate

1 .53 .285 .281 .774

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Now see the relationships of promotional sales with other

variables. When selling a self-selling, the value of the value is 0.00, less

than 0.05, so there is significant correlation between sales and personal

sales. The value of Pearson's R is 0.352, which means there is a positive

base relationship, and the power of relationships is the degree of these

variables. In promoting sales, the price is 0.00, which is less than 0.05, so

there is significant statistical relationship between sales promotion and

personal sales. The value of Pearson's r is 0,512, which means that there

is a positive, positive, and relationship power between these variables.

Promoting sales with a direct market value of 0.00 is less than 0.05, so

there is a correlation between statistics and direct sales. The value of

Pearson's R is 0.451, which means there is a positive base relationship

and the power of limited relationships between these variables.

Table 4: Model Summary

Model Sum of

Squares

Df Mean Square F Sig.

1 Regression 32.211 1 32.211 51.984 .000

Residual 91.705 148 .620

Total 123.916 149

Now we understand personal sales related to other variables. In publicly

traded private sales, the main value is 0.00, less than .05, so there is

significant correlation between statistics between personal sales and

public relations. The value of Pearson's R is 0.431, which means that

there is a positive relationship, and there is a limited relationship between

these variables. Personal sales with direct market value of value are 0.00

Model Unstandardized

Coefficients

Standardized

Coefficients

T Sig.

B Std.

Error

Beta

1 (Constant) 2.005 .232 8.642 .000

S Pcom .488 .063 .527 7.687 .000

Model R R

Square

Adjusted R Square Std. Error of the

Estimate

1 .499a .258 .251 .787

Model Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

B Std.

Error

Beta

1 (Constant) 2.158 .226 9.548 .000

PScom .460 .064 .499 7.210 .000

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less than 0.05, so there is a link between statistics between personal sales

and direct marketing. The value of Pearson's R is 0,530, which means

that there is a positive relationship and the strength of relationships is

strong between these variables. Finally, the connection of public

relations with the direct market, where value of significance is 0.00, less

than 0.05, therefore there is a link between public statistics and direct

market. The value of Pearson's R is 0.620, which means that there is a

positive base relationship and the strength of relationships is strong

between these variables.

Table 5: Model Summary

Model R R

Square

Adjusted R Square Std. Error of the

Estimate

1 .587a .358 .354 .733

Model Sum of

Squares

Df Mean Square F Sig.

1 Regression 44.354 1 44.354 82.505 .000

Residual 79.563 148 .538

Total 123.916 149

Table 6: Model Summary

Model Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) 1.691 .231 7.305 .000

PRcom .581 .064 .587 9.083 .000

Model R R Square Adjusted R

Square

Std. Error of the

Estimate

1 .589a .345 .342 .739

Model Sum of

Squares

Df Mean

Square

F Sig.

1 Regression 42.988 1 42.988 78.614 .000a

Residual 80.929 148 .547

Total 123.916 149

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This simple regimen is designed to see if your business is predicting

relationships with your customers, or checking for changes in customer

relationships due to trade changes. The square R value shows that the

independent variable has a total effect of 34.0% on the dependent

variable and the remaining 64% effect is due to a number of other

factors. The value of Anova's meaning indicates that this model is

appropriate. The importance of training is less than 0.05, which means

there is a good relationship between advertising and good customer

relationships. Regression equation:

Y=a+bx

Performance =2.051+ .490(advertising)

Sale promotion and Good customer relation: This simple adjustment

was made to check whether sales promotion predicted good customer

relationships or checking customer relationship changes due to changing

sales. The square value of the R value adjustment shows that the

combined sales promotion effect of 28.5% and 64% of customer contacts

is due to a number of other factors. The value of Anova's meaning

indicates that this model is appropriate. The importance of sales

promotion is less than 0.05, which means there is a link between good

advertising and good customer relationships. Regression equation:

Y=a+bx

Performance =2.005+ .488(sales promotion)

Table 7: Model Summary

Model Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) 1.864 .218 8.554 .000

DMcom .540 .061 .589 8.866 .000

Model R R

Square

Adjusted R Square Std. Error of the

Estimate

1 .737a .544 .528 .626

Model Sum of

Squares

df Mean Square F Sig.

1 Regression 67.399 5 13.480 34.335 .000

Residual 56.518 144 .392

Total 123.916 149

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Personal selling and good customer relation

This regression is conducted to simplify the extent to which retail sales

forecasts good customer relationships or changes in customer

relationships due to changes in personal sales. Price adjustments show

that R sales magnitude is 26% overall impact on customer relationships

and 76% is due to a number of other factors. The value of Anova's

meaning indicates that this model is appropriate. The importance of

personal sales is less than 0.05, which implies a strong link between

advertising and good customer relationships. Regression equation:

Y=a+bx

Performance =2.158+ .460(personal selling)

This simple adjustment is made to see if relationships with the

public, predict good customer relationships, or look at customer

relationship changes through changes in public relations. Corrected R

square shows that sales have a 35.4% impact on customer relationships

and the remaining 63.6% impact is due to a number of other factors. The

value of Anova's meaning indicates that this model is appropriate. The

importance of public relations is less than 0.05, meaning there is a link

between good communication and good customer relationships. This

simple adjustment was made to see if direct sales were good predictive of

good customer relationships or good customer relationship changes due

to direct marketing changes. The square price adjustment R indicates that

sales have a combined influence of 34.2% on good customer

relationships and the remaining 64.8% are due to a number of other

factors. The value of Anova's meaning indicates that this model is

appropriate. The value of direct marketing significance is less than 0.05,

which means that there is a correlation between good advertising and

good customer relationships. Regression equation:

Y=a+bx

Performance =1.864+ .540(Direct marketing)

A lot of regression has been done to see if advertising,

promotion, sales, personal sales, public relations and marketing directly

predicted good customer relationships. Corrected R values show that

Model Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

B Std. Error Beta

1 (Constant) .743 .238 3.117 .002

ADVT .203 .062 .243 3.298 .001

SPcom .137 .066 .150 2.085 .039

PScom .133 .063 .147 2.114 .036

PRcom .192 .076 .198 2.519 .013

DMcom .199 .072 .217 2.773 .006

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independent variables influence 52.8% on good customer relationships

and the remaining 47.2% are due to a number of other factors. The value

of Anova's meaning indicates that this model is appropriate. The main

value of all independent variables is less than 0.05, meaning that there is

a relationship between all independent variables and good customer

relationships. Regression equation:

Y=a+bx1+cx2+dx3

Performance =.743+ .203(advertising) + .137(sales promotion)

+.133(personal selling) + .192(public relation) + .199 (direct marketing)

Discussion

The subject of the exam is part of a social presentation on

building good customer relationships in the heat industry in Pakistan.

The Free Learning Factors are published as individuals who conduct

open source communication and representation, while the secondary

variables in this study are strongly correlated with clients. This includes

many components that contribute to creating good customer

relationships. As a result of the region's selection and free-analytical

analysis, he conducted a computational survey of factors and

composition writing about these factors and investigated the relationship

between autonomy and recording in detail.

There were 150 respondents in the survey, which included both

men and women. A number of classmates are students, workers,

entrepreneurs and educators. Any information from the respondent was

destroyed by SPSS 16.0. Results appear as tables and diagrams. Experts

have used illumination and measurement to study the information. The

duty of all information verified against the respect of Alpha of Cronbach.

This link is used to check the relationship between this factor and to test

the effect of the autocenter on the next factor used for. Basic and many.

All in all promotional centers are essential to building customer-friendly

relationships in preparation for separation.

On the basis of multiple organs, the level of identification between

the free and variable factors in this class is found. The benchmark of the

charge factor is below 0.05, which means that there is a positive

relationship between the major autonomous variables and the major

customer relationship. The evaluation of this beta to all autonomic

factors has shown a positive relationship to the sample multiplication.

There are add up to five speculations in this examination:

1. The principal theory amongst publicizing and great client connection

is acknowledged in view of the solid relationship among these two

factors included (p < 0.05).

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2. The second theory between deals advancement and great client

connection is acknowledged in view of the solid relationship among

these two factors included (p < 0.05).

3. The third theory between individual offering and great client

connection is acknowledged in light of the solid relationship among

these two factors included (p < 0.05).

4. The fourth speculation between open connection and great client

connection is acknowledged in light of the solid relationship among

these two factors included (p < 0.05).

5. The fifth speculation between direct showcasing and great client

connection is acknowledged in view of the solid relationship among

these two factors included (p < 0.05).

Many specialists were involved in these efforts before the study. Part

of this effort has been integrated into the region by several analysts in

several countries in different regions. However, in this question, attention

is referred to building relationships and customers in the preparation of

part of Pakistan. Here are some critical views, and their findings in

different areas will be determined with their academic life. A look at

Potluri in 2008, a public presentation and individual offering, Ethiopian

administration has shown that attraction, attention and change in the

tolerance and inefficiency of the institution's institutional and

conservative preservation of the brand. In 2010, Deshmukh analyzed the

great customer relationship at Indian Business Bank. The study shows a

number of complications for managing a business account in India. First,

this survey provides a detailed table of customer relationships, indicating

that it has taken a position at all important stages in the bank. Also,

finding clients reflecting on the bank period is largely unstable due to

business competitiveness and incentive responses that should be used to

gather customer relationships, the whole idea is technical maintenance.

Integration Promotion Promotions can be regarded as a customer

relationship supplier, which was conducted by Rehman and Ibrahim in

Malaysia in 2011. Opening of the Dialogue is an aid to multi-ingredient

content within a defined time period. Advertising promotes online

presentations, promotions, advertisements, or individual offers.

Conclusion and future directions for research

Conclusion

Today, with strong rivals, there is little demand for customers to

switch banks and use those of some banks to meet their needs. In this

sense, relationships with customers that exceed customer trust and

accountability are important for banks to make one hand in the shopping

center without customer's consent. The audit of this study provides

sufficient evidence of the positive relationships between communication

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and customer relationships. The study provides a mix of communication

and correspondence in the field of money-keeping with focus on trust

and commitment. Let's take a closer look at the significant relationship

between freer and unrelated factors that the impact of the study clearly

demonstrates the strong relationship between promoting dialogue and

good customer relationships. For most parts of the region, customer

contacts are the best way to ensure that customers stay in the bank.

Banks are trying to get a high level of performance that requires pressure

placed in creative conversations. These items are important for remote

client connections.

It is well known from the study to make this study complicated

Most importantly, if the bank needs to extend its aid kit for managing

client connections, show one of the best ways to show correspondence.

Another reason is that the boss tries to attract customer influence by

focusing on customer presentations and this can be achieved when the

customer is attracted to the bank through an exclusive environment such

as a show of correspondence. Clearly, the Bank's main goal should be to

achieve reliable and paid customers. The bank should know that all

connections are not covered. In that sense, one of them is that banks must

adopt a reasonable framework that is adequate for a state-of-the-art

relationship. The survey stressed that participating administrations in the

implementation of the advertising system should highlight their incentive

for deliberate deliberations to achieve desired outcomes. In this study,

attention may be drawn to the fact that establishing correspondence for

advertising is just a first step; If the quality of the link has to be stepped.

Leaders who are encouraged to decide on how important a toolkit are and

when they are important in linking the link.

From a Research Perspective, this review shows a preview and

correct review. There is little thought about the relationship between

customers and customers. This study can be used as a framework for

creating and testing a proposal. Specifically, recommendations can be

made by advertising correspondence. In the dispute here, it is understood

that this link is related to customer relationships. In this way, the display

of correspondent systems affects the association's ability to create and

maintain an association with its customers.

Future Research First, the effects of correspondence on customer support can be

affected. For example, there are many factors that can make a difference

or a tour of the delegations involved in what's going on. Also, this is not

included here, controversial factors such as stability programs and

aggressive direct mail. Encourage research to investigate the effects of

these factors. In fewer tests, known as linked subscriber connection

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characteristics, customers expect their relationship with the supplier of

the administration, what is the scope of these relationships, and how they

compare the productivity of panels, and so on this study is the

anticipation of all these possible outcomes. The study has been battled by

Pakistan's Memory Management Area, but it may be important for future

analysts to examine the same factors, even in other industries.

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