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International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018]
https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311
www.ijaems.com Page | 80
Customer Satisfaction in Inbound Call Centers:
A Study on the Role of Responsiveness and
Assurance in Perceived Service Quality
Dr. Krishna Mohan Vaddadi1
, Fatih Cura2
, Navulur Krishna Surarchith3
1
Dr. Krishna Mohan Vaddadi, Dept of Commerce & Management Studies, Andhra University, India
2
FatihCura, Faculty of Administrative Sciences and Economics, Ishik University, Iraq
3
Navulur Krishna Surarchith, Faculty of Administrative Sciences and Economics, Ishik University, Iraq (Research Scholar of
Dr. B.R. Ambedkar University, India)
Abstract— The aim of this study is to analyze customer
satisfaction in Inbound Call Centers and examine the
relationship between Responsiveness and Assurance in
Perceived Service Quality. The researchers proposed to
study theoretical foundations on customer satisfaction and
service quality dimensions adopting SERVQUAL Model to
investigative the impact of service quality dimensions on
customer satisfaction to meet the research objective. The
association between perceived service quality and
customer satisfaction will assist call center management to
clarify the role of service quality dimensions in perceived
service quality through customer point of view. The
respondents for this study are the customers who receive
service from call center of Telecommunication service
providers in Visakhapatnam, Andhra Pradesh, India.
This research tested the effect of service quality
dimensions on customer satisfaction and reported that
both dimensions (responsiveness and assurance) had
positive impact on customer satisfaction. Research results
explore that Assurance has more impact on customer
satisfaction than Responsiveness.
Keywords— Perceived Service quality dimensions,
customer satisfaction, call-center, Vishakhapatnam.
I. INTRODUCTION
Customers are communicated by companies through call
centers and contact centers which is customary means to
render service. Customer Service Representatives (CSR) is
used to serve specific services where human presence is
required and Interactive Voice response (IVR) is used for
generalized or frequently asked queries where pre-
determined set of questions and answers are prepared with
an automatic voice where customers are given instructions
to use the system. In bound call center is where customers
contact the companies to get the service whereas out
bound call center is where companies contact the
customers to provide the service. Researchers chose in-
bound call center for this study into consideration for
analysis and respondents as customers who receive service
from telecom service providers in Visakhapatnam, Andhra
Pradesh, India. There are 4 major telecom service
providers in Andhra Pradesh which are BSNL, Bharti,
TATA and Reliance according to the report released by
Telecom Regulatory Authority of India (TRAI) in 2014.
(Bhawan, 2014)
The Customer loyalty and customer satisfaction are focus
points of an organization. Retention of customers makes
customers to re-purchase products that lead to loyalty
towards organization which increases profitability
(Zineldin , 2006). The price is not a concern for customers
who get the satisfaction after buying a product or receiving
service and becomes referrers of company’s services and
products to others. (Homburg,Koschate, & Hoyer, 2005).
The feedback of customers is based on acquiring
satisfaction on product consumption which relies on
organization’s decision to render quality of service where
quality level is directly proportional to customer
satisfaction.(Kotler& Keller, 2009, p.169). Quality became
competitive tool for market share growth and
materialization of contemporary markets where as
traditionally it was treated as defensive instrument to
protect interest of the customers (Davis, et al, 2003). The
definition of service quality explains as the total evaluation
on service rendered by the companies to customers where
as many researches define as the degree of meeting
expectations and needs of the customers in terms of
providing service (Eshghi, et al., 2008). The literature
survey reveals that perceived service quality dimensions
are tangibles, responsiveness, reliability, empathy and
assurance however the present research chose only
responsiveness and assurance to determine perceived
service quality and its effect customer satisfaction.
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018]
https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311
www.ijaems.com Page | 81
II. LITERATURE REVIEW
Service was defined as ‘any intangible act or performance
that one party offers to another that does not result in the
ownership of anything”. It is also observed that service is
an offer by one party to another party which is intangible
with an intention to exchange money for contentment.
Service quality is the expectation on products and services
by customers. (Kotler& Keller, 2009) Customer
satisfaction is the expectation of the customer who
purchases product from the company where he/she has
beliefs before trying which turns in to reference or
compare or judge the standardized product with product
that is presented to him (Dietz et al, 2004). When product
or service achieves better than the expectation of the
customers, then it is positive disconfirmation, when it
achieves lower than the expectation of the customers, then
it is negative disconfirmation and when it achieves exactly
equal to the expectation of customers, then it is neutral
satisfaction or zero confirmation or disconfirmation
(Oliver, 1997).
Most of the companies are using call centers for acquiring
new customers and retaining existing customers which
plays important role in serving as company’s image. It is
observed that the capacity of call center to produce
considerable increased revenues by improved service
which enables the sales opportunities which are
prospective with an increased rapid growth.(Eichfeld, et
al., 2006) It was proved in a study made by McKinsey that
25% of revenue got produced more through inbound call
centers that were being run by credit card companies.
Responsiveness is the will of the companies to assist
customers and render service promptly. Responsiveness is
related to dealing of requests, complaints and questions
from customers in a prompt and attentive manner. A firm’s
responsiveness is measured by the time it takes to
communicate the solutions of the customers’ problems.
Customer’s point of view is considered to achieve success
by any company than company’s point of view (Zeithmal
et al., 2006.)
Responsiveness consists of recognition of customers’
wants and needs, operational hours that are feasible to
customer, personal concentration to each customer by the
employees, priority to problems of the customers and
transactions of customers to be dealt safely (Kumar, et al.,
2009). Assurance indicates comfort inside the company
area where customer enters, politeness and friendship that
employees provide to customers, rendering advice with
regards to finance related matters, experience and
knowledge of staff and management, and simplicity in
accessing information that is related to account by
customers (Sadek et al, 2010,.)
III. CONCEPTUAL FRAMEWORK: RESEARCH
MODEL
IV. RESEARCH HYPOTHESIS
H1: There is a positive relationship between
responsiveness and customer satisfaction in call center.
H2: There is a positive relationship between assurance
and customer satisfaction in call center.
V. METHODOLOGY
The researchers used empirical quantitative research
method to find out the relationship firstly between
responsiveness and customer satisfaction in call centers
and secondly the relationship between assurance and
customer satisfaction in call centers. A questionnaire
distributed among customers who received service from
call centers that provide telecom services in
Visakhapatnam, A.P., India. SPSS software was used for
the purpose of analysis. The questionnaire was adapted
from (Parusaraman, et al 1985). The researchers used
random sampling method to cover the entire research
population. The researchers distributed 80 questionnaires
where 75 questionnaires were received and 68
questionnaires were completed properly.
Date Analysis:
Table.1: Reliability analysis
Factor Cronbach's
Alpha
N of Items
Responsiveness .815 8
Assurance .792 8
Customer
satisfaction
.778 8
As seen in table (1) the reliability test for all independent
and dependent factors. The researcher found out the
Cronbach's Alpha for responsiveness as independent factor
= .815 for eight items, since .815>.6 this indicates all eight
items used for responsiveness were reliable for this study.
The Cronbach's Alpha for assurance as independent factor
= .792 for eight items, since .792>.6 this indicates all eight
items used for assurance were reliable for this study and
finally, the Cronbach's Alpha for customer satisfaction as
dependent factor = .778 for eight items, since .778>.6 this
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018]
https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311
www.ijaems.com Page | 82
indicates all eight items used for customer satisfaction
were reliable for this study.
Testing first research hypothesis:
Table.2: Correlation Analysis
Correlations
Items Pearson
Correlation
Responsi
ve
ness
Customer
satisfactio
n
Responsive
ness
Pearson
Correlation
1 .669**
Sig. (2-
tailed)
.000
N 68 68
Customer
satisfaction
Pearson
Correlation
.669**
1
Sig. (2-
tailed)
.000
N 68 68
**. Correlation is significant at the 0.01 level (2-tailed).
As seen in table (2) the correlation analysis between
responsiveness as independent factor and customer
satisfaction as dependent factor. The researcher found that
the Pearson correlation for responsiveness= .669**
(
.669**
>0.01) which indicates that there is a positive
correlation between responsiveness as independent factor
and customer satisfaction as dependent factor.
Table.3: Model Summary
Model Summary
Mode
l
R R Square Adjuste
d
R
Square
Std. Error of
the Estimate
1 .669
a
.448 .439 .43409
a. Predictors: (Constant), responsiveness
As seen in table (3), the value of R square = .448 this
indicates that 45% of variables are explained.
Table.4: ANOVA
ANOVA
Model Sum
of
Square
s
D
f
Mean
Squar
e
F Sig.
1 Regressi
on
10.081 1 10.08
1
53.50
0
.000
b
Residual 12.436 66 .188
Total 22.517 67
a. Dependent Variable: Customer satisfaction
b. Predictors: (Constant), responsiveness
As seen in table (4) the value of F for responsiveness as
independent variable and customer satisfaction as a
dependent variable is 53.500>1 which indicates there is a
significant relationships between responsiveness as
independent variable and customer satisfaction as
dependent variable.
Table.5: Coefficients
Coefficients
Model Unstandard
ized
Coefficient
s
Standard
ized
Coeffici
ents
T Si
g.
B Std
.
Err
or
Beta
1 (Con
stant)
1.2
04
.42
3
2.846 .0
06
Resp
onsiv
e
ness
.70
1
.09
6
.669 7.314 .0
00
a. Dependent Variable: Customer satisfaction
As seen in table (5) the value B for responsiveness=
.701>0.01 this indicates that there is a positive relationship
between responsiveness and customer satisfaction in call
center accordingly the first research hypothesis supported.
Testing Second research hypothesis:
As seen in table (6) the correlation analysis between
assurance as independent factor and customer satisfaction
as dependent factor. The researcher found that the Pearson
correlation for assurance= .720** (
.720**
>0.01) which
indicates that there is a positive correlation between
assurance as independent factor and customer satisfaction
as dependent factor.
As seen in table (7), the value of R square = .511 this
indicates that 51% of variables are explained.
As seen in table (8) the value of F for assurance as
independent variable and customer satisfaction as a
dependent variable is 70.910>1 which indicates there is a
significant relationships between assurance as independent
variable and customer satisfaction as dependent variable.
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018]
https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311
www.ijaems.com Page | 83
Table.6: Correlation Analysis
Correlations
Items Pearson
Correlation
Customer
satisfaction
Assurance
Responsive
ness
Pearson
Correlation
.720**
1
Sig. (2-
tailed)
.000
N 68 68
Customer
satisfaction
Pearson
Correlation
1 .720**
Sig. (2-
tailed)
.000
N 68 68
**. Correlation is significant at the 0.01 level (2-
tailed).
Table.7: Model Summary
Model Summary
Mod
el
R R
Square
Adjust
ed
R Square
Std. Error of
the Estimate
1 .72
0a
.518 .511 .40555
a. Predictors: (Constant), responsiveness
Table.8: ANOVA
ANOVA
Model Sum of
Squares
Df Mean
Square
F Sig.
1 Regression 11.663 1 11.663 70.910 .000b
Residual 10.855 66 .164
Total 22.517 67
a. Dependent Variable: Customer satisfaction
b. Predictors: (Constant), Assurance
Table.9: Coefficients
Coefficients
Model Unstandardiz
ed
Coefficients
Standardiz
ed
Coefficient
s
t S
ig.
B Std.
Error
Beta
1(Constant
)
1.
132
.37
7
3.
006
.
004
Respon
sive ness
.7
27
.08
6
.720 8.
421
.
000
a. Dependent Variable: Customer satisfaction
As seen in table (9) the value B for assurance = .727>0.01
this indicates that there is a positive relationship between
assurance and customer satisfaction in call center
accordingly the second research hypothesis supported.
VI. CONCLUSION
Researchers conclude that there is positive relationship
between responsiveness and assurance with customer
satisfaction. The researchers proposed to study theoretical
foundations on customer satisfaction and service quality
dimensions, SERVQUAL to investigative the impact of
service quality dimensions on customer satisfaction to
meet the research objective. The association between
service quality and customer satisfaction will assist call
center management to clarify what these service quality
dimensions mean to the customers and to call center itself.
This research tested the effect of service quality
dimensions on customer satisfaction and found out that
both dimensions (responsiveness and assurance) had
positive impact on customer satisfaction. Consequently the
findings of this study could be useful to call center
managers with respect to how to deal with customers, to
maintain and improve the call centers’ main objective of
revenue maximization and minimizing the cost.
ACKNOWLEDGMENT
Authors would like to thank Ishik University, Erbil,
Northern Iraq for supporting current research.
REFERENCES
[1] Bhawan, M. D. (2014, March). The Indian Telecom
Services Performance Indicators. Retrieved February
20, 2016, from Telecom Regulatory Authority of
India: http://www.trai.gov.in/
WriteReadData/PIRReport/Documents/Indicator%20
Reports%20-%20Mar-14.pdf
[2] Davis, G., Yoo, M., and Baker, W., 2003, “The small
world of the American corporate elite, 1982-2001”
Strategic Organization, Vol, 1 No. 3 pp. 301-326.
[3] Dietz J, Pugh SD and Wiley JW (2004) Service
climate effects on customer attitudes: An examination
of boundary conditions. Academy of Management
Journal 47: 81-92.
[4] Eichfeld, A., Morse, T.D. and Scott, K.W. 2006.
Using Call Centers to Boost Revenue, McKinsey
Quarterly, May: 1-7.
[5] Eshghi, A., Roy, S., and Ganguli, S., 2008, “Service
quality and customer satisfaction: An empirical
investigation in Indian mobile Telecommunications
services”, Marketing Management Journal, Vol. 18,
No. 2, p. 119-144.
[6] Homburg, C., Koschate, N., & Hoyer, W. D. (2005).
Do satisfied customers really pay more? A study of
International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018]
https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311
www.ijaems.com Page | 84
the relationship between customer satisfaction and
willingness to pay.Journal of Marketing,69(2), 84-96.
[7] Kotler, P. and Keller, K. L. (2009) Marketing
management (13th end). New Jersey: Pearson
Education Inc, Upper Saddle River.
[8] Oliver RL (1997) Satisfaction: a behavioural
perspective on the consumer (ed.). New York, NY:
McGraw-Hill.
[9] Parasuraman, A., Zeithaml, V. A., & Berry, L. L.
(1985). A conceptual model of service quality and its
implications for future research. Journal of Marketing,
49, 41-50.
[10]Zineldin, M. (2006). The royalty of loyalty: CRM,
quality and retention. Journal of Consumer
Marketing, 23(7), 430-437.

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Customer Satisfaction in Inbound Call Centers: A Study on the Role of Responsiveness and Assurance in Perceived Service Quality

  • 1. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018] https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311 www.ijaems.com Page | 80 Customer Satisfaction in Inbound Call Centers: A Study on the Role of Responsiveness and Assurance in Perceived Service Quality Dr. Krishna Mohan Vaddadi1 , Fatih Cura2 , Navulur Krishna Surarchith3 1 Dr. Krishna Mohan Vaddadi, Dept of Commerce & Management Studies, Andhra University, India 2 FatihCura, Faculty of Administrative Sciences and Economics, Ishik University, Iraq 3 Navulur Krishna Surarchith, Faculty of Administrative Sciences and Economics, Ishik University, Iraq (Research Scholar of Dr. B.R. Ambedkar University, India) Abstract— The aim of this study is to analyze customer satisfaction in Inbound Call Centers and examine the relationship between Responsiveness and Assurance in Perceived Service Quality. The researchers proposed to study theoretical foundations on customer satisfaction and service quality dimensions adopting SERVQUAL Model to investigative the impact of service quality dimensions on customer satisfaction to meet the research objective. The association between perceived service quality and customer satisfaction will assist call center management to clarify the role of service quality dimensions in perceived service quality through customer point of view. The respondents for this study are the customers who receive service from call center of Telecommunication service providers in Visakhapatnam, Andhra Pradesh, India. This research tested the effect of service quality dimensions on customer satisfaction and reported that both dimensions (responsiveness and assurance) had positive impact on customer satisfaction. Research results explore that Assurance has more impact on customer satisfaction than Responsiveness. Keywords— Perceived Service quality dimensions, customer satisfaction, call-center, Vishakhapatnam. I. INTRODUCTION Customers are communicated by companies through call centers and contact centers which is customary means to render service. Customer Service Representatives (CSR) is used to serve specific services where human presence is required and Interactive Voice response (IVR) is used for generalized or frequently asked queries where pre- determined set of questions and answers are prepared with an automatic voice where customers are given instructions to use the system. In bound call center is where customers contact the companies to get the service whereas out bound call center is where companies contact the customers to provide the service. Researchers chose in- bound call center for this study into consideration for analysis and respondents as customers who receive service from telecom service providers in Visakhapatnam, Andhra Pradesh, India. There are 4 major telecom service providers in Andhra Pradesh which are BSNL, Bharti, TATA and Reliance according to the report released by Telecom Regulatory Authority of India (TRAI) in 2014. (Bhawan, 2014) The Customer loyalty and customer satisfaction are focus points of an organization. Retention of customers makes customers to re-purchase products that lead to loyalty towards organization which increases profitability (Zineldin , 2006). The price is not a concern for customers who get the satisfaction after buying a product or receiving service and becomes referrers of company’s services and products to others. (Homburg,Koschate, & Hoyer, 2005). The feedback of customers is based on acquiring satisfaction on product consumption which relies on organization’s decision to render quality of service where quality level is directly proportional to customer satisfaction.(Kotler& Keller, 2009, p.169). Quality became competitive tool for market share growth and materialization of contemporary markets where as traditionally it was treated as defensive instrument to protect interest of the customers (Davis, et al, 2003). The definition of service quality explains as the total evaluation on service rendered by the companies to customers where as many researches define as the degree of meeting expectations and needs of the customers in terms of providing service (Eshghi, et al., 2008). The literature survey reveals that perceived service quality dimensions are tangibles, responsiveness, reliability, empathy and assurance however the present research chose only responsiveness and assurance to determine perceived service quality and its effect customer satisfaction.
  • 2. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018] https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311 www.ijaems.com Page | 81 II. LITERATURE REVIEW Service was defined as ‘any intangible act or performance that one party offers to another that does not result in the ownership of anything”. It is also observed that service is an offer by one party to another party which is intangible with an intention to exchange money for contentment. Service quality is the expectation on products and services by customers. (Kotler& Keller, 2009) Customer satisfaction is the expectation of the customer who purchases product from the company where he/she has beliefs before trying which turns in to reference or compare or judge the standardized product with product that is presented to him (Dietz et al, 2004). When product or service achieves better than the expectation of the customers, then it is positive disconfirmation, when it achieves lower than the expectation of the customers, then it is negative disconfirmation and when it achieves exactly equal to the expectation of customers, then it is neutral satisfaction or zero confirmation or disconfirmation (Oliver, 1997). Most of the companies are using call centers for acquiring new customers and retaining existing customers which plays important role in serving as company’s image. It is observed that the capacity of call center to produce considerable increased revenues by improved service which enables the sales opportunities which are prospective with an increased rapid growth.(Eichfeld, et al., 2006) It was proved in a study made by McKinsey that 25% of revenue got produced more through inbound call centers that were being run by credit card companies. Responsiveness is the will of the companies to assist customers and render service promptly. Responsiveness is related to dealing of requests, complaints and questions from customers in a prompt and attentive manner. A firm’s responsiveness is measured by the time it takes to communicate the solutions of the customers’ problems. Customer’s point of view is considered to achieve success by any company than company’s point of view (Zeithmal et al., 2006.) Responsiveness consists of recognition of customers’ wants and needs, operational hours that are feasible to customer, personal concentration to each customer by the employees, priority to problems of the customers and transactions of customers to be dealt safely (Kumar, et al., 2009). Assurance indicates comfort inside the company area where customer enters, politeness and friendship that employees provide to customers, rendering advice with regards to finance related matters, experience and knowledge of staff and management, and simplicity in accessing information that is related to account by customers (Sadek et al, 2010,.) III. CONCEPTUAL FRAMEWORK: RESEARCH MODEL IV. RESEARCH HYPOTHESIS H1: There is a positive relationship between responsiveness and customer satisfaction in call center. H2: There is a positive relationship between assurance and customer satisfaction in call center. V. METHODOLOGY The researchers used empirical quantitative research method to find out the relationship firstly between responsiveness and customer satisfaction in call centers and secondly the relationship between assurance and customer satisfaction in call centers. A questionnaire distributed among customers who received service from call centers that provide telecom services in Visakhapatnam, A.P., India. SPSS software was used for the purpose of analysis. The questionnaire was adapted from (Parusaraman, et al 1985). The researchers used random sampling method to cover the entire research population. The researchers distributed 80 questionnaires where 75 questionnaires were received and 68 questionnaires were completed properly. Date Analysis: Table.1: Reliability analysis Factor Cronbach's Alpha N of Items Responsiveness .815 8 Assurance .792 8 Customer satisfaction .778 8 As seen in table (1) the reliability test for all independent and dependent factors. The researcher found out the Cronbach's Alpha for responsiveness as independent factor = .815 for eight items, since .815>.6 this indicates all eight items used for responsiveness were reliable for this study. The Cronbach's Alpha for assurance as independent factor = .792 for eight items, since .792>.6 this indicates all eight items used for assurance were reliable for this study and finally, the Cronbach's Alpha for customer satisfaction as dependent factor = .778 for eight items, since .778>.6 this
  • 3. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018] https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311 www.ijaems.com Page | 82 indicates all eight items used for customer satisfaction were reliable for this study. Testing first research hypothesis: Table.2: Correlation Analysis Correlations Items Pearson Correlation Responsi ve ness Customer satisfactio n Responsive ness Pearson Correlation 1 .669** Sig. (2- tailed) .000 N 68 68 Customer satisfaction Pearson Correlation .669** 1 Sig. (2- tailed) .000 N 68 68 **. Correlation is significant at the 0.01 level (2-tailed). As seen in table (2) the correlation analysis between responsiveness as independent factor and customer satisfaction as dependent factor. The researcher found that the Pearson correlation for responsiveness= .669** ( .669** >0.01) which indicates that there is a positive correlation between responsiveness as independent factor and customer satisfaction as dependent factor. Table.3: Model Summary Model Summary Mode l R R Square Adjuste d R Square Std. Error of the Estimate 1 .669 a .448 .439 .43409 a. Predictors: (Constant), responsiveness As seen in table (3), the value of R square = .448 this indicates that 45% of variables are explained. Table.4: ANOVA ANOVA Model Sum of Square s D f Mean Squar e F Sig. 1 Regressi on 10.081 1 10.08 1 53.50 0 .000 b Residual 12.436 66 .188 Total 22.517 67 a. Dependent Variable: Customer satisfaction b. Predictors: (Constant), responsiveness As seen in table (4) the value of F for responsiveness as independent variable and customer satisfaction as a dependent variable is 53.500>1 which indicates there is a significant relationships between responsiveness as independent variable and customer satisfaction as dependent variable. Table.5: Coefficients Coefficients Model Unstandard ized Coefficient s Standard ized Coeffici ents T Si g. B Std . Err or Beta 1 (Con stant) 1.2 04 .42 3 2.846 .0 06 Resp onsiv e ness .70 1 .09 6 .669 7.314 .0 00 a. Dependent Variable: Customer satisfaction As seen in table (5) the value B for responsiveness= .701>0.01 this indicates that there is a positive relationship between responsiveness and customer satisfaction in call center accordingly the first research hypothesis supported. Testing Second research hypothesis: As seen in table (6) the correlation analysis between assurance as independent factor and customer satisfaction as dependent factor. The researcher found that the Pearson correlation for assurance= .720** ( .720** >0.01) which indicates that there is a positive correlation between assurance as independent factor and customer satisfaction as dependent factor. As seen in table (7), the value of R square = .511 this indicates that 51% of variables are explained. As seen in table (8) the value of F for assurance as independent variable and customer satisfaction as a dependent variable is 70.910>1 which indicates there is a significant relationships between assurance as independent variable and customer satisfaction as dependent variable.
  • 4. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018] https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311 www.ijaems.com Page | 83 Table.6: Correlation Analysis Correlations Items Pearson Correlation Customer satisfaction Assurance Responsive ness Pearson Correlation .720** 1 Sig. (2- tailed) .000 N 68 68 Customer satisfaction Pearson Correlation 1 .720** Sig. (2- tailed) .000 N 68 68 **. Correlation is significant at the 0.01 level (2- tailed). Table.7: Model Summary Model Summary Mod el R R Square Adjust ed R Square Std. Error of the Estimate 1 .72 0a .518 .511 .40555 a. Predictors: (Constant), responsiveness Table.8: ANOVA ANOVA Model Sum of Squares Df Mean Square F Sig. 1 Regression 11.663 1 11.663 70.910 .000b Residual 10.855 66 .164 Total 22.517 67 a. Dependent Variable: Customer satisfaction b. Predictors: (Constant), Assurance Table.9: Coefficients Coefficients Model Unstandardiz ed Coefficients Standardiz ed Coefficient s t S ig. B Std. Error Beta 1(Constant ) 1. 132 .37 7 3. 006 . 004 Respon sive ness .7 27 .08 6 .720 8. 421 . 000 a. Dependent Variable: Customer satisfaction As seen in table (9) the value B for assurance = .727>0.01 this indicates that there is a positive relationship between assurance and customer satisfaction in call center accordingly the second research hypothesis supported. VI. CONCLUSION Researchers conclude that there is positive relationship between responsiveness and assurance with customer satisfaction. The researchers proposed to study theoretical foundations on customer satisfaction and service quality dimensions, SERVQUAL to investigative the impact of service quality dimensions on customer satisfaction to meet the research objective. The association between service quality and customer satisfaction will assist call center management to clarify what these service quality dimensions mean to the customers and to call center itself. This research tested the effect of service quality dimensions on customer satisfaction and found out that both dimensions (responsiveness and assurance) had positive impact on customer satisfaction. Consequently the findings of this study could be useful to call center managers with respect to how to deal with customers, to maintain and improve the call centers’ main objective of revenue maximization and minimizing the cost. ACKNOWLEDGMENT Authors would like to thank Ishik University, Erbil, Northern Iraq for supporting current research. REFERENCES [1] Bhawan, M. D. (2014, March). The Indian Telecom Services Performance Indicators. Retrieved February 20, 2016, from Telecom Regulatory Authority of India: http://www.trai.gov.in/ WriteReadData/PIRReport/Documents/Indicator%20 Reports%20-%20Mar-14.pdf [2] Davis, G., Yoo, M., and Baker, W., 2003, “The small world of the American corporate elite, 1982-2001” Strategic Organization, Vol, 1 No. 3 pp. 301-326. [3] Dietz J, Pugh SD and Wiley JW (2004) Service climate effects on customer attitudes: An examination of boundary conditions. Academy of Management Journal 47: 81-92. [4] Eichfeld, A., Morse, T.D. and Scott, K.W. 2006. Using Call Centers to Boost Revenue, McKinsey Quarterly, May: 1-7. [5] Eshghi, A., Roy, S., and Ganguli, S., 2008, “Service quality and customer satisfaction: An empirical investigation in Indian mobile Telecommunications services”, Marketing Management Journal, Vol. 18, No. 2, p. 119-144. [6] Homburg, C., Koschate, N., & Hoyer, W. D. (2005). Do satisfied customers really pay more? A study of
  • 5. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-2, Feb- 2018] https://dx.doi.org/10.22161/ijaems.4.2.1 ISSN: 2454-1311 www.ijaems.com Page | 84 the relationship between customer satisfaction and willingness to pay.Journal of Marketing,69(2), 84-96. [7] Kotler, P. and Keller, K. L. (2009) Marketing management (13th end). New Jersey: Pearson Education Inc, Upper Saddle River. [8] Oliver RL (1997) Satisfaction: a behavioural perspective on the consumer (ed.). New York, NY: McGraw-Hill. [9] Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49, 41-50. [10]Zineldin, M. (2006). The royalty of loyalty: CRM, quality and retention. Journal of Consumer Marketing, 23(7), 430-437.