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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470
@ IJTSRD | Unique Paper ID - IJTSRD23862 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 552
Measuring Channel Partners Experience in Bancassurance:
An Empirical Study
Prashant Ganesh Kale
Doctoral Student, Department of Commerce and Management, Shivaji University,
Kolhapur, Maharashtra, India
How to cite this paper PrashantGanesh
Kale "Measuring Channel Partners
Experience in Bancassurance: An
Empirical Study" Published in
International Journal of Trend in
Scientific Research and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-4, June 2019,
pp.552-555, URL:
https://www.ijtsrd.
com/papers/ijtsrd2
3862.pdf
Copyright © 2019 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an Open Access article
distributed under
the terms of the
Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/
by/4.0)
ABSTRACT
Purpose– This study attempts to investigate bancassurance channel experience
with respect Insurance Company. Design/Methodology/Approach– Thestudyis
based on primary data collected using a structured questionnaire from
bancassurance channel in the city of Kolhapur in the state of Maharashtra,India.
Cronbach’s alpha was used to test the reliability of the questionnaire. Statistical
tools, such as mean, correlation and multiple linear regression analysis were
used to attain the objective of the study. Findings and implications– The study
found that customers have favorable experiences when buying life insurance
through the bancassurance channel. There are five core factors that affect
customer experience in bancassurance channelpartners: satisfactiononservice,
opinion aboutstaff, recommendationforbusiness, satisfactionon documentation
process, customers overall satisfaction. Insurance company should devise a
strategy to sustain favorable experiences of their bancassurance channel,asthis
enables Insurance Company toretaintheir existingbancassurancechannel while
also attracting new ones. Limitations– The study is restricted to bancassurance
channel partner of XYZ insurance company in Kolhapur, India. Therefore,
longitudinal and cross-sectional research is needed to generalize the findings.
Originality– The study is first of its kind and hence original in nature.
Keywords: bancassurance channel partner, satisfaction on service, opinion about
staff, recommendation for business in bancassurance, regression analysis
Introduction
In today’s Indian Insurance market,thechallengetoinsurers
and intermediaries is building faith about the company in
the mind of the client. In today’s scenario, life insurance
companies have adopted different channels for distributing
their products. A broad categorization of channels currently
being used in the distribution of life insurance products is
agency, bancassurance, direct marketing, broker, work site
marketing, internet marketing, and corporateagency.Inthis
study researcher studied factor affecting on business
recommendation by bancassurance channel of insurance
company. Four factors are considered for this study namely
satisfaction on service, opinion aboutstaff,recommendation
for business, satisfaction on documentation process,
customers overall satisfaction. Correlation and Multiple
Linear Regression analysis was carried.
Marketing of life insurance product is most critical and
complex for various obvious reasons that include time span,
periodicity and potentiality of claims and higher brand
switching costs affecting the buying behavior. In the current
scenario in India, insurance companiesarefacingproblem of
transiting from a perceived selling activity to a structured
strategic marketing activity. Insurance marketingisbasically
just the marketing of life insurance products. Insurance
marketing emphasizes the importance of the channel
Partner. A major objective of Life Insurance Company is to
generate the maximum business from channel partners.
Objectives of the study:
To study the factors affecting on recommendation for
business by bancassurance channel of Insurance Company.
Hypothesis of the study:
1. There is no significant relationship between
recommendations for business by bancassurance
channel of Insurance Company and Satisfaction on
Service.
2. There is no significant relationship between
recommendations for business by bancassurance
channel of Insurance Company and Opinion about staff.
3. There is no significant relationship between
recommendations for business by bancassurance
channel of Insurance Company and satisfaction on
documentation process.
4. There is no significant relationship between
recommendations for business by bancassurance
channel of Insurance Company and customers overall
satisfaction.
Instrument
The survey instrument was a design questionnaire for this
study. The content in questionnairewas validated by experts
of General Insurance Companies. Instrument waspre-tested
among the respondents to establish its validity and
reliability. The instrument consists of six sections namely
demographic information, satisfaction on expectation,
opinion about staff, recommendation for business,
IJTSRD23862
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23862 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 553
satisfaction of documentation process and customer
satisfaction. The items were measured on both 5-point
Likert-type scales.
Reliability Tests
Questionnaire was pre-tested among 30 respondents from
different business partners of XYZ General Insurance. They
were asked to note down the items or statement which are
difficult to understand. After the feedback,thequestionnaire
was pre-tested again. The pre-test revealed the reliability of
items for each section in the questionnaire which was
evaluated using internal consistency approach (Cronbach’s
Alpha). From the analysis, results shows that reliability for
each section was above 0.7 which indicated that the
questionnaire were reliable.
Table 1: Reliability analysis Cronbach’s Alpha.
Sr. No. Construct Item’s Cronbach’s Alpha
1. Satisfaction on Service 8 0.919
2. Opinion about Staff 7 0.898
3. Recommendation for Business 4 0.881
4. Satisfaction on Documentation Process 3 0.845
5. Customers overall Satisfaction 3 0.855
Data Analysis
SPSS Version 20 software was used to analyze the data. Descriptive statistics were used to illustratedemographicinformation
of the respondents. A regression analysiswasusedtodeterminetherelationshipbetweensatisfaction on service,opinionabout
staff, recommendation for business, satisfaction on documentation process, customers overall satisfaction . All statistically
analysis was carried out at 95% confidence level and 5% confidence interval. Sample Size is 150 channel partners
Table 2: Mean Standard Deviation and Cronbach Alpha of Scale.
Construct 1: Satisfaction on Service Mean SD Cronbach’s Alpha
Items 1. The XYZ manager responds to my inquiries in a
timely manner.
4.20 0.93
0.919
Items 2. Overall, I am satisfied on XYZ Products. 4.11 0.88
Items 3. I am satisfied with after purchase service provided by XYZ. 4.00 0.99
Items 4. Overall, I am very satisfied with the XYZ manager services. 4.03 0.95
Items 5. The XYZ manager is making a positive contribution to my
business.
4.33 0.85
Items 6. I am satisfied with the appropriateness of the documentation to
our needs.
3.95 0.90
Items 7. I am satisfied with the quality of the documentation delivered
with our system.
3.91 0.99
Items 8. Overall, I am very satisfied with human resources provide to us. 3.75 1.01
Construct 2: Opinion about Staff Mean SD Cronbach’s Alpha
Items 1. XYZ service representatives adhere to professional standards of
conduct.
3.83 0.97
0.898
Items 2. XYZ service representatives are well trained. 4.23 0.78
Items 3. XYZ service representatives act in my best interest. 4.16 0.86
Items 4. XYZ service representatives are well supervised. 3.93 1.03
Items 5. Overall, I am satisfied with the XYZ service representatives. 4.11 0.95
Items 6. The XYZ Manager is knowledgeable and professional. 4.16 0.97
Items 7. Overall, the quality of XYZ sales is good. 4.16 0.82
Construct 3: Recommendation for Business Mean SD Cronbach’s Alpha
Items 1. I would recommend my business friends‟ to avail XYZ services.
3.
81
1.01
0.881
Items 2. I would recommend our management to continue service with
XYZ
4.01 0.85
Items 3. I would recommend other branch managers to avail XYZ
services.
3.76 0.88
Items 4. Overall, the value of XYZ services compared with other
Organization is better.
3.88 0.86
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23862 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 554
Construct 4: Satisfaction of Documentation Process Mean SD Cronbach’s Alpha
Items 1. I am satisfied with the accuracy of the documentation delivered
by XYZ
3.78 1.04
0.845Items 2. I am satisfied with the suitability of the documentation provided
by XYZ.
3.73 0.98
Items 3. I am overall satisfied with the documentation process followed
by XYZ.
3.88 0.86
Construct 5: Customer Experience. Mean SD Cronbach’s Alpha
Items 1. I would recommend our management to continue service with
XYZ.
4.01 0.91
0.855
Items 2. I am satisfied with value provided by XYZ. 3.88 1.02
Items 3. I am satisfied with purchase experience provided by XYZ. 3.95 0.94
Table 3: Pearson r Coefficient for hypothesis testing
Recommended For
Business
Satisfaction on
Service
Opinion about
Staff
Satisfaction on
Documentation
r P r P r P r P
Recommended For
Business
Satisfaction on Service 0.482 0.000
Opinion about Staff 0.545 0.000 0.641 0.000
Satisfaction on
Documentation
0.401 0.000 0.587 0.000 0.329 0.000
Customer Experience 0.509 0.000 0.722 0.000 0.675 0.000 0.579 0.000
There is a positive correlation between all varibles namely recommeded for business, satisfaction on service, opinion about
staff and satifaction on documentation at significance level 0.01.
Opinion about staff has shown highest correlation with Customer experience (r = 0675, p < 0.01) and second highest
correlation with Satisfaction on Service (r = 0641, p < 0.01). Opinion about staff hasshownlowestcorrelation withSatisfaction
on Documentation (r = 0.329, p < 0.01). Correlation matrix shows low to moderate correlation among the variables.
Table 4: Hierarchical regression for hypotheses testing
B SE Beta t P-Value F P R2 Adjusted R2
Variables Recommended For Business 15.490 0.000 0.352 0.329
Constant 0.968 0.529 - 1.830 0.073 Significant at the level of P< 0.01
Opinion about Staff 0.498 0.121 0.464 4.105 0.000
Satisfaction on Documentation 0.229 0.104 0.248 2.196 0.032
The four independent variables and one dependent variable
were entered into the Stepwise Multiple Linear Regression
models. Out of four independent variables, twovariables are
excluded in stepwise regression. These variables are
satisfaction on service and customer experience Using all
variables, a total 32.9 per cent of the variance on
Recommended For Business can be explained.
In this model difference between R2 adjusted R2 was(0.352 –
0.329 = 0.023). This shrinkage means that if the model were
derived from the population rather than a sample, it would
account for approximately 2 per cent less variance in the
outcome.
The b-value tell us about the relationship between
recommendation for business and eachpredictor.Ifthevalue
is positive we can tell that, there is a positive relationship
between the predictor and the outcomes in our case both are
positive. The b-value s tells us to what degree each predictor
affects the outcome if the effects of all other predictor are
held constant.
Opinion about Staff (b=0.121): This value indicates that
opinion about staff increased by one unit, recommendation
for business increased by 0.121 unit.
Satisfaction on Documentation (b=0.104): This value
indicates that satisfaction on documentation increased by
0.104 units.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID - IJTSRD23862 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 555
The t-test as measures of whether the predictor is making a
significant contribution to the model. In our case t-test
associated with b-value is significantatp<0.05,Hencewecan
say that the predictors is making and significantcontribution
to the model.
Opinion about Staff: The value indicates that at opinion
about staff increased by on standard deviation
recommendation for business increased by 0.464 standard
deviation.
Satisfaction on Documentation: The value indicates that at
satisfaction on documentation increase by on standard
deviation then recommendation for business increased by
0.401 standard deviation.
Recommended For Business = b0 + b1 Opinion about Staff +
b2 Satisfaction on Documentation
= 0.529 + (0.121) Opinion about Staff + (0.248) Satisfaction
on Documentation
Conclusion
The study found that channel partner has favorable
experiences when dealing with XYZ life insurance through
the bancassurance channel. There are five core factors that
affect channel partners experience in bancassurance:
satisfaction on service, opinion aboutstaff,recommendation
for business, satisfaction on documentation process,
customers overall satisfaction. Recommended for business
depends upon opinion about staff and satisfaction on
documentation process.
References
[1] Aggarwal, V. (2004). Bancassurance Concept,
Framework and Implementation. The Journal of
Insurance Institute of India, 30 (1), 34 -51
[2] Ali, L., & Chatley, P. (2013). Customer Perception of
Bancassurance: A Survey. European Journal of
Business and Management, 5 (22), 34-46
[3] Breading, M. (2014). Improving the customer
experience through communication and document
management. Available at:
http://www.xpertdoc.com/media/131440/sma-
insurance-customer-experience-white-paper.pdf
(8/2/2019)
[4] Choudhury, M., & Singh, R. (2015a). Customers’
Perception regarding reliability of bancassurance
channel: an empirical study. SIJ Transaction on
Industrial, Financial and Business Management, 3(4),
41- 48.
[5] Choudhury, M., & Singh, R. (2015b). Perception of
customers towards responsiveness of bancassurance
channel: An empirical study in Assam. International
Journal of Entrepreneurship & Development Studies,
3(1), 19 -35
[6] Choudhury, M., & Singh, R., Saikia, H., (2016).
Measuring customer experience in bancassurance :An
empirical study. Market –Trziste, 28 (1), 47-62
[7] Field, A., (2013), Discovering Statistics using IBM SPSS
Statistics 4th ed, Sage Publication,
[8] Kumari, T. H. (2012). Customer Attitude towards
Bancassurance - An Indian Perspective. Global Journal
of Current Research, 1(1), 31- 41.
[9] Kumarswamy, S. (2012). SWOT Analysis for
Bancassurance: Application of Confi rmatory Factor
Analysis. Review of Research, 1(11), 1- 4
[10] Neelamegan, R., & Veni, K. (2009). Bancassurance - An
Emerging Trend in Indian Service Sector. Indian
Journal of Marketing, 39(10), 50 -54
[11] Popli, G. S., & Rao, D. N. (2009). An Empirical Study of
Bancassurance: Prospects & Challenges for Selling
Insurance Products through Banks in India. Available
at: http://papers.ssrn.com/sol3/
papers.cfm?abstract_id=1339471 (10/3/2019)
[12] Rajuput,V. (2013) Research on Bancassurance.
International Journal of Scientific and Research
Publication, 3(7)
[13] Tiwari, A., & Yadav, B. (2012). A Customer Survey &
Perception towards Bancassurance (WithReferenceto
Life Insurance Industry). South Asian Journal of
Marketing & Management Research, 2 (2), 142-164

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Measuring Channel Partners Experience in Bancassurance An Empirical Study

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470 @ IJTSRD | Unique Paper ID - IJTSRD23862 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 552 Measuring Channel Partners Experience in Bancassurance: An Empirical Study Prashant Ganesh Kale Doctoral Student, Department of Commerce and Management, Shivaji University, Kolhapur, Maharashtra, India How to cite this paper PrashantGanesh Kale "Measuring Channel Partners Experience in Bancassurance: An Empirical Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-4, June 2019, pp.552-555, URL: https://www.ijtsrd. com/papers/ijtsrd2 3862.pdf Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT Purpose– This study attempts to investigate bancassurance channel experience with respect Insurance Company. Design/Methodology/Approach– Thestudyis based on primary data collected using a structured questionnaire from bancassurance channel in the city of Kolhapur in the state of Maharashtra,India. Cronbach’s alpha was used to test the reliability of the questionnaire. Statistical tools, such as mean, correlation and multiple linear regression analysis were used to attain the objective of the study. Findings and implications– The study found that customers have favorable experiences when buying life insurance through the bancassurance channel. There are five core factors that affect customer experience in bancassurance channelpartners: satisfactiononservice, opinion aboutstaff, recommendationforbusiness, satisfactionon documentation process, customers overall satisfaction. Insurance company should devise a strategy to sustain favorable experiences of their bancassurance channel,asthis enables Insurance Company toretaintheir existingbancassurancechannel while also attracting new ones. Limitations– The study is restricted to bancassurance channel partner of XYZ insurance company in Kolhapur, India. Therefore, longitudinal and cross-sectional research is needed to generalize the findings. Originality– The study is first of its kind and hence original in nature. Keywords: bancassurance channel partner, satisfaction on service, opinion about staff, recommendation for business in bancassurance, regression analysis Introduction In today’s Indian Insurance market,thechallengetoinsurers and intermediaries is building faith about the company in the mind of the client. In today’s scenario, life insurance companies have adopted different channels for distributing their products. A broad categorization of channels currently being used in the distribution of life insurance products is agency, bancassurance, direct marketing, broker, work site marketing, internet marketing, and corporateagency.Inthis study researcher studied factor affecting on business recommendation by bancassurance channel of insurance company. Four factors are considered for this study namely satisfaction on service, opinion aboutstaff,recommendation for business, satisfaction on documentation process, customers overall satisfaction. Correlation and Multiple Linear Regression analysis was carried. Marketing of life insurance product is most critical and complex for various obvious reasons that include time span, periodicity and potentiality of claims and higher brand switching costs affecting the buying behavior. In the current scenario in India, insurance companiesarefacingproblem of transiting from a perceived selling activity to a structured strategic marketing activity. Insurance marketingisbasically just the marketing of life insurance products. Insurance marketing emphasizes the importance of the channel Partner. A major objective of Life Insurance Company is to generate the maximum business from channel partners. Objectives of the study: To study the factors affecting on recommendation for business by bancassurance channel of Insurance Company. Hypothesis of the study: 1. There is no significant relationship between recommendations for business by bancassurance channel of Insurance Company and Satisfaction on Service. 2. There is no significant relationship between recommendations for business by bancassurance channel of Insurance Company and Opinion about staff. 3. There is no significant relationship between recommendations for business by bancassurance channel of Insurance Company and satisfaction on documentation process. 4. There is no significant relationship between recommendations for business by bancassurance channel of Insurance Company and customers overall satisfaction. Instrument The survey instrument was a design questionnaire for this study. The content in questionnairewas validated by experts of General Insurance Companies. Instrument waspre-tested among the respondents to establish its validity and reliability. The instrument consists of six sections namely demographic information, satisfaction on expectation, opinion about staff, recommendation for business, IJTSRD23862
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23862 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 553 satisfaction of documentation process and customer satisfaction. The items were measured on both 5-point Likert-type scales. Reliability Tests Questionnaire was pre-tested among 30 respondents from different business partners of XYZ General Insurance. They were asked to note down the items or statement which are difficult to understand. After the feedback,thequestionnaire was pre-tested again. The pre-test revealed the reliability of items for each section in the questionnaire which was evaluated using internal consistency approach (Cronbach’s Alpha). From the analysis, results shows that reliability for each section was above 0.7 which indicated that the questionnaire were reliable. Table 1: Reliability analysis Cronbach’s Alpha. Sr. No. Construct Item’s Cronbach’s Alpha 1. Satisfaction on Service 8 0.919 2. Opinion about Staff 7 0.898 3. Recommendation for Business 4 0.881 4. Satisfaction on Documentation Process 3 0.845 5. Customers overall Satisfaction 3 0.855 Data Analysis SPSS Version 20 software was used to analyze the data. Descriptive statistics were used to illustratedemographicinformation of the respondents. A regression analysiswasusedtodeterminetherelationshipbetweensatisfaction on service,opinionabout staff, recommendation for business, satisfaction on documentation process, customers overall satisfaction . All statistically analysis was carried out at 95% confidence level and 5% confidence interval. Sample Size is 150 channel partners Table 2: Mean Standard Deviation and Cronbach Alpha of Scale. Construct 1: Satisfaction on Service Mean SD Cronbach’s Alpha Items 1. The XYZ manager responds to my inquiries in a timely manner. 4.20 0.93 0.919 Items 2. Overall, I am satisfied on XYZ Products. 4.11 0.88 Items 3. I am satisfied with after purchase service provided by XYZ. 4.00 0.99 Items 4. Overall, I am very satisfied with the XYZ manager services. 4.03 0.95 Items 5. The XYZ manager is making a positive contribution to my business. 4.33 0.85 Items 6. I am satisfied with the appropriateness of the documentation to our needs. 3.95 0.90 Items 7. I am satisfied with the quality of the documentation delivered with our system. 3.91 0.99 Items 8. Overall, I am very satisfied with human resources provide to us. 3.75 1.01 Construct 2: Opinion about Staff Mean SD Cronbach’s Alpha Items 1. XYZ service representatives adhere to professional standards of conduct. 3.83 0.97 0.898 Items 2. XYZ service representatives are well trained. 4.23 0.78 Items 3. XYZ service representatives act in my best interest. 4.16 0.86 Items 4. XYZ service representatives are well supervised. 3.93 1.03 Items 5. Overall, I am satisfied with the XYZ service representatives. 4.11 0.95 Items 6. The XYZ Manager is knowledgeable and professional. 4.16 0.97 Items 7. Overall, the quality of XYZ sales is good. 4.16 0.82 Construct 3: Recommendation for Business Mean SD Cronbach’s Alpha Items 1. I would recommend my business friends‟ to avail XYZ services. 3. 81 1.01 0.881 Items 2. I would recommend our management to continue service with XYZ 4.01 0.85 Items 3. I would recommend other branch managers to avail XYZ services. 3.76 0.88 Items 4. Overall, the value of XYZ services compared with other Organization is better. 3.88 0.86
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23862 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 554 Construct 4: Satisfaction of Documentation Process Mean SD Cronbach’s Alpha Items 1. I am satisfied with the accuracy of the documentation delivered by XYZ 3.78 1.04 0.845Items 2. I am satisfied with the suitability of the documentation provided by XYZ. 3.73 0.98 Items 3. I am overall satisfied with the documentation process followed by XYZ. 3.88 0.86 Construct 5: Customer Experience. Mean SD Cronbach’s Alpha Items 1. I would recommend our management to continue service with XYZ. 4.01 0.91 0.855 Items 2. I am satisfied with value provided by XYZ. 3.88 1.02 Items 3. I am satisfied with purchase experience provided by XYZ. 3.95 0.94 Table 3: Pearson r Coefficient for hypothesis testing Recommended For Business Satisfaction on Service Opinion about Staff Satisfaction on Documentation r P r P r P r P Recommended For Business Satisfaction on Service 0.482 0.000 Opinion about Staff 0.545 0.000 0.641 0.000 Satisfaction on Documentation 0.401 0.000 0.587 0.000 0.329 0.000 Customer Experience 0.509 0.000 0.722 0.000 0.675 0.000 0.579 0.000 There is a positive correlation between all varibles namely recommeded for business, satisfaction on service, opinion about staff and satifaction on documentation at significance level 0.01. Opinion about staff has shown highest correlation with Customer experience (r = 0675, p < 0.01) and second highest correlation with Satisfaction on Service (r = 0641, p < 0.01). Opinion about staff hasshownlowestcorrelation withSatisfaction on Documentation (r = 0.329, p < 0.01). Correlation matrix shows low to moderate correlation among the variables. Table 4: Hierarchical regression for hypotheses testing B SE Beta t P-Value F P R2 Adjusted R2 Variables Recommended For Business 15.490 0.000 0.352 0.329 Constant 0.968 0.529 - 1.830 0.073 Significant at the level of P< 0.01 Opinion about Staff 0.498 0.121 0.464 4.105 0.000 Satisfaction on Documentation 0.229 0.104 0.248 2.196 0.032 The four independent variables and one dependent variable were entered into the Stepwise Multiple Linear Regression models. Out of four independent variables, twovariables are excluded in stepwise regression. These variables are satisfaction on service and customer experience Using all variables, a total 32.9 per cent of the variance on Recommended For Business can be explained. In this model difference between R2 adjusted R2 was(0.352 – 0.329 = 0.023). This shrinkage means that if the model were derived from the population rather than a sample, it would account for approximately 2 per cent less variance in the outcome. The b-value tell us about the relationship between recommendation for business and eachpredictor.Ifthevalue is positive we can tell that, there is a positive relationship between the predictor and the outcomes in our case both are positive. The b-value s tells us to what degree each predictor affects the outcome if the effects of all other predictor are held constant. Opinion about Staff (b=0.121): This value indicates that opinion about staff increased by one unit, recommendation for business increased by 0.121 unit. Satisfaction on Documentation (b=0.104): This value indicates that satisfaction on documentation increased by 0.104 units.
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID - IJTSRD23862 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 555 The t-test as measures of whether the predictor is making a significant contribution to the model. In our case t-test associated with b-value is significantatp<0.05,Hencewecan say that the predictors is making and significantcontribution to the model. Opinion about Staff: The value indicates that at opinion about staff increased by on standard deviation recommendation for business increased by 0.464 standard deviation. Satisfaction on Documentation: The value indicates that at satisfaction on documentation increase by on standard deviation then recommendation for business increased by 0.401 standard deviation. Recommended For Business = b0 + b1 Opinion about Staff + b2 Satisfaction on Documentation = 0.529 + (0.121) Opinion about Staff + (0.248) Satisfaction on Documentation Conclusion The study found that channel partner has favorable experiences when dealing with XYZ life insurance through the bancassurance channel. There are five core factors that affect channel partners experience in bancassurance: satisfaction on service, opinion aboutstaff,recommendation for business, satisfaction on documentation process, customers overall satisfaction. Recommended for business depends upon opinion about staff and satisfaction on documentation process. References [1] Aggarwal, V. (2004). Bancassurance Concept, Framework and Implementation. The Journal of Insurance Institute of India, 30 (1), 34 -51 [2] Ali, L., & Chatley, P. (2013). Customer Perception of Bancassurance: A Survey. European Journal of Business and Management, 5 (22), 34-46 [3] Breading, M. (2014). Improving the customer experience through communication and document management. Available at: http://www.xpertdoc.com/media/131440/sma- insurance-customer-experience-white-paper.pdf (8/2/2019) [4] Choudhury, M., & Singh, R. (2015a). Customers’ Perception regarding reliability of bancassurance channel: an empirical study. SIJ Transaction on Industrial, Financial and Business Management, 3(4), 41- 48. [5] Choudhury, M., & Singh, R. (2015b). Perception of customers towards responsiveness of bancassurance channel: An empirical study in Assam. International Journal of Entrepreneurship & Development Studies, 3(1), 19 -35 [6] Choudhury, M., & Singh, R., Saikia, H., (2016). Measuring customer experience in bancassurance :An empirical study. Market –Trziste, 28 (1), 47-62 [7] Field, A., (2013), Discovering Statistics using IBM SPSS Statistics 4th ed, Sage Publication, [8] Kumari, T. H. (2012). Customer Attitude towards Bancassurance - An Indian Perspective. Global Journal of Current Research, 1(1), 31- 41. [9] Kumarswamy, S. (2012). SWOT Analysis for Bancassurance: Application of Confi rmatory Factor Analysis. Review of Research, 1(11), 1- 4 [10] Neelamegan, R., & Veni, K. (2009). Bancassurance - An Emerging Trend in Indian Service Sector. Indian Journal of Marketing, 39(10), 50 -54 [11] Popli, G. S., & Rao, D. N. (2009). An Empirical Study of Bancassurance: Prospects & Challenges for Selling Insurance Products through Banks in India. Available at: http://papers.ssrn.com/sol3/ papers.cfm?abstract_id=1339471 (10/3/2019) [12] Rajuput,V. (2013) Research on Bancassurance. International Journal of Scientific and Research Publication, 3(7) [13] Tiwari, A., & Yadav, B. (2012). A Customer Survey & Perception towards Bancassurance (WithReferenceto Life Insurance Industry). South Asian Journal of Marketing & Management Research, 2 (2), 142-164