Page 1 of 10

Archives of Business Research – Vol. 9, No. 6

Publication Date: June 25, 2021

DOI:10.14738/abr.96.10346. Pathmananathan, P. R., & Aseh, K. (2021). Identying Factors That Influences Fradulences in Non-Life Insurance Companies. Archives

of Business Research, 9(6). 93-102.

Services for Science and Education – United Kingdom

Identying Factors That Influences Fradulences in Non-Life

Insurance Companies

P. Ravindran Pathmananathan

Unies Group

Khairi Aseh

Unies Group

ABSTRACT

Insurance fraud is the most common form of fraud in the world, aside from tax

evasion. By its very existence, the insurance industry is prone to deception. Basic

income levels in Vietnam have a tendency to steadily rise as a result of improving

socioeconomic conditions. As a result, the need for citizen security has increased

and become more diverse.The aim of this study is to study the predictor/s of anti- insurance fraud among non-insurer companies in Vietnam. This study was

conducted using a questionnaire that was completed by 51 employees who are

currently working in the 11 non-life insurance company in Vietnam. It can be

concluded that there exists a significant relationship between all the four

independent variables which are namely external regulations, public context,

management functions as well as underwriting guidance.

Keywords: Insurance fraud, external regulations, public context, management function,

Vietnam

INTRODUCTION

Insurance fraud of all kinds is on the rise, and its frequency has risen by roughly 30% in many

cases compared to previous years (Burnham,2008). According to a study Submitted to the

Pennsylvania Insurance Fraud Prevention Authority, the number of fraud claims filed with

insurance providers rose by 33% in the first decade of the twenty-first century, with auto

insurance accounting for 72 percent of fraudulent claims (Burnham, 2008).

According to Burnham (2008), insurance firms paid out an estimated $28.4 million in

restitution as a result of fraud in 2008. In 2008 too, 4,000 people were arrested as a result of

20,911 insurance fraud prosecutions, resulting in $1.9 million in civil fines. These investigations

have resulted in the avoidance of over $102 million in possible victim property loss as a result

of fraud, according to the author (Burnham, 2008). It is estimated that up to 10% and 20% of

all car insurance and home owners insurance claims, respectively, are fraudulent (Burham,

2008).

Insurance Fraud Overview

Insurance is a risk-management scheme that necessitates the retention of liquid assets in the

form of reserve funds, which can then be used to pay loss claims. Insurance premiums provide

a constant and large supply of cash to insurance firms. Consistent cash flow is a valuable

Page 2 of 10

94

Archives of Business Research (ABR) Vol. 9, Issue 6, June-2021

Services for Science and Education – United Kingdom

economic resource that can be quickly diverted. Insurance firms are tempting targets for

takeover and loot schemes because of their large stockpiles of liquid assets (Glink,2009).

Insurance Fraud In Vietnam

Basic income levels in Vietnam have a tendency to steadily rise as a result of improving

socioeconomic conditions. As a result, the need for citizen security has increased and become

more diverse. Purchasing insurance is one of the most important safety strategies, and car

insurance is one of the insurance products. According to the Review of Finance (ROF) 2017, the

demand for non-life insurance in general, and vehicle insurance in particular, has expanded

rapidly, but at a modest scale, with insurance premiums as a percentage of GDP of less than 2%.

(while the rate in other countries by region is 7-8 percent ).

Insurance Fraud (Global)

Insurance fraud costs the United States more than $80 billion per year (Taylor, 2014). Fraud

comes in several types, and according to a report conducted by the North Carolina Department

of Insurance (2011), at least one tenth of all auto and homeowners insurance claims are false.

This level of fraud incurs costs in the form of higher premiums for customers and increased

operating costs for insurance providers, totaling billions of dollars for insurers (AIPSO, 2009).

RESEARCH OBJECTIVE

• To profile the respondents’ characteristics among the non-insurer companies in

Vietnam

• To examine the perceived external regulations aspect among the non-insurer companies

in Vietnam

• To examine the perceived public context aspect among the non-insurer companies in

Vietnam

• To examine the perceived management functions aspect among the non-insurer

companies in Vietnam

• To examine the perceived underwriting guidance aspect among the non-insurer

companies in Vietnam

LITERATURE REVIEW

External Regulations

Vietnam's economy continues to improve. Many Vietnamese have already been brought out of

poverty as a result of economic development. Simultaneously, the middle class is growing. WTO

membership has provided Vietnam with access to both foreign markets and capital, as well as

strengthened Vietnamese businesses, especially insurance businesses, through increased

competition.

Many foreign insurance companies (particularly in the life segment) have offices in Vietnam

and regard the country as a natural extension of their regional or global operations. New

products are in the works. The creation of agency networks is underway.Local businesses have

usually displayed more price restraint than their counterparts elsewhere in the area in the non- life market. In Vietnam, motor insurance, this is mostly a thankless and profitless line in

emerging markets, accounts for around a third of non-life premiums written.

Page 3 of 10

95

Pathmananathan, P. R., & Aseh, K. (2021). Identying Factors That Influences Fradulences in Non-Life Insurance Companies. Archives of Business

Research, 9(6). 93-102.

URL: http://dx.doi.org/10.14738/abr.96.10346

Public Context

Anti-fraud procedures are often viewed differently by a diverse group of people in various

public contexts (Secovnie, 2008). Customers for insurance fall into a variety of categories,

which results in a dynamic level of response to anti-fraud procedures.Customers' history,

including their place of birth, education, and wages, all play a role in deciding their degree of

interest in insurance claim fraud (Glink, 2009).

Management Functions

Companies' management roles also assigned responsibility for handling insurance fraud to

each of the company's hierarchy. The Board of Directors and Audit Committee play an

important role in anti-fraud efforts across the insurance industry (Rice, 2008).The Board of

Directors is made up of all of the company's directors, and it serves as the company's highest

decision-making and policy-making body.According to Rice (2009)'s research, the executive

committee and division managers play an important role in anti-fraud procedures. Internal

audit teams are crucial in monitoring and overseeing the execution of anti-fraud procedures.

(2009, Glink)

Underwriting Guidance

Underwriting guidelines is a practical approach to developing a successful anti-fraud procedure

in which the authorities as well as the association of insurers have specific guidance that

standardises the underwriting process for insuring companies. This can include software that

keeps track of customer records and claims history, which is useful in detecting fraud.

Insurance fraud is estimated to cost the insurance industry billions of dollars per year, and it

has thus become a major concern for both insurers and the general public (Glink, 2009; Rice,

2008; Scafidi, 2010; Scott, 2010; Secovnie, 2008; Tennyson, 2008).Insurance evasion costs

customers up to $400 in additional insurance premiums a year in the case of car insurance

(Auto Insurance Plan Service Office (AIPSO), 2009).

METHODOLOGY

For this study, 51 employees have participated who are currently working in the 11 non-life

insurance company in Vietnam. The selection of sample from the pool of 11 companies, which

are occupied up to 80% non-life market shares in Vietnam by convenient sampling method

from total of 29 non-life insurers companies in Vietnam. For this particular study, the data

gathered by distributing questionnaires to employees.

Page 4 of 10

96

Archives of Business Research (ABR) Vol. 9, Issue 6, June-2021

Services for Science and Education – United Kingdom

RESULT

Descriptive Statistic

Frequency (N) Percentage %

Gender

Male

Female

47

4

92.2%

7.8%

Age group

21-30

31-40

41-50

51-60

6

31

12

2

11.8%

60.8%

23.5%

3.9%

Education Level (Highest degree)

University/College

Master

38

13

74.5%

25.5%

Insurance company which you work in

PTI

UIC

MIC

BIC

Baolong

BSH

Liberty

8

1

10

12

10

8

2

15.7%

2%

19.6%

23.5%

19.6%

15.7%

3.9%

Your department

Board of director

Underwriting Department

Los Surveyor Department

Claim Department

Internal Audit

Operation Department

5

5

15

21

2

3

9.8%

9.8%

29.4%

41.2%

3.9%

5.9%

External regulations – regulations to insurance frauds

Table 4.2 Itemized Questions for External Regulations, in Percentage

No Statements 1 2 3 4 5

1.1

1.2

1.3

1.4

1.5

Criminal Code 2015 has created the legal

corridor for anti frauds in insurance.

By-law documents relating to anti-frauds

are clear and easy to follow.

You know well the penalty by the amount

of fine and the number of years of

imprisonment stipulated for insurance

frauds.

The communication and Media have

broasdcasted criminal code relating to

insurance frauds to insurance participants.

People are well aware of the relation

between Crimial Penalty and Insurance

frauds.

5.9%

7.8%

9.8%

17.6%

25.5%

7.8%

17.6

2.0%

37.3%

47.1%

33.3%

43.1%

27.5%

29.4%

17.6%

37.3%

29.4%

45.1%

9.8%

5.9%

15.7%

2.0%

15.7%

5.9%

3.9%

*Note: 1: Strongly Disagree, 2: Disagree, 3: Neutral, 4: Agree, 5: Strongly Disagree

Page 5 of 10

97

Pathmananathan, P. R., & Aseh, K. (2021). Identying Factors That Influences Fradulences in Non-Life Insurance Companies. Archives of Business

Research, 9(6). 93-102.

URL: http://dx.doi.org/10.14738/abr.96.10346

Public context impacts in insurance frauds

Itemized Questions for Public context, in Percentage

No Statements 1 2 3 4 5

2.1

2.2

2.3

2.4

2.5

Customers in city have higher interests in

insurance claim frauds rather than

customers in countryside.

Customers with higher income normally

have less interests in insurance claim

frauds.

Customers with higher education

normally have less interests in insurance

claim frauds.

Regression circle of business is also a

reason leading to insurance frauds.

Culture and social behaviors could be a

reason leading to insurance frauds.

7.8%

11.8%

7.8%

5.9%

0.0%

13.7%

37.3%

31.4%

13.7%

9.8%

21.6%

35.3%

35.3%

31.4%

21.6%

31.4%

9.8%

21.6%

37.3%

52.9%

25.5%

5.9%

3.9%

11.8%

15.7%

*Note: 1: Strongly Disagree, 2: Disagree, 3: Neutral, 4: Agree, 5: Strongly Disagree

Management functions impacts in insurance frauds

Itemized Questions for Management functions, in Percentage

No Statements 1 2 3 4 5

3.1

3.2

3.3

3.4

3.5

Your company has ordained the

responsibility to each of company's hierachy

in managing insurance frauds.

Board of Directors and Audit Committee play

an important role in anti fraud.

Executive committee and branches'

managers play an important role in anti

fraud.

Internal Audit team play an important role in

controlling and supervising the

implementation of anti fraudulent

procedures.

It is necessary to have an award policy to

managers in automobile insurance claim

anti-frauds.

0.0%

2.0%

2.0%

3.9%

0.0%

17.6%

13.7%

11.8%

7.8%

7.8%

21.6%

37.3%

13.7%

33.3%

17.6%

41.2%

33.3%

43.1%

39.2%

43.1%

19.6%

13.7%

29.4%

15.7%

31.4%

*Note: 1: Strongly Disagree, 2: Disagree, 3: Neutral, 4: Agree, 5: Strongly Disagree

Page 6 of 10

98

Archives of Business Research (ABR) Vol. 9, Issue 6, June-2021

Services for Science and Education – United Kingdom

Underwriting guidance impacts in insurance frauds

Itemized Questions for underwriting guidance, in Percentage

No Statements 1 2 3 4 5

4.1

4.2

4.3

4.4

4.5

The undewriting guidance are clear

and suitable to automobile practices.

You comply with the guidance in

underwriting automobile insurance.

If underwriting employees carry out

strictly of underwriting process, it

helps reducing frauds.

Company has software to record the

information of customers and

automobile claim history which is

helpful to anti-frauds.

The connection of information among

insurance companies help managing

client's history and help anti frauds.

2.0%

0.0%

2.0%

2.0%

9.8%

5.9%

7.8%

0.0%

7.8%

0.0%

27.5%

17.6%

11.8%

17.6%

11.8%

39.2%

45.1%

35.3%

35.3%

39.2%

25.5%

29.4%

51.0%

37.3%

39.2%

*Note: 1: Strongly Disagree, 2: Disagree, 3: Neutral, 4: Agree, 5: Strongly Disagree

Multiple regression analysis

Result for Multiple Regression

Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .860a .739 .704 2.13406

a. Predictors: (Constant), External Regulations, Public Context, Management function,

Underwriting Guidance, Claim Procedure, Business Operation Management

ANOVAa

Model

Sum of

Squares df Mean Square F Sig.

1 Regression

Residual

Total

568.242

200.385

768.627

6

44

50

94.707

4.554

20.795 .000b

a. Dependent Variable: Anti-Insurance Fraud

b. Predictors: (Constant), External Regulations, Public Context, Management function,

Underwriting Guidance, Claim Procedure, Business Operation Management

Page 7 of 10

99

Pathmananathan, P. R., & Aseh, K. (2021). Identying Factors That Influences Fradulences in Non-Life Insurance Companies. Archives of Business

Research, 9(6). 93-102.

URL: http://dx.doi.org/10.14738/abr.96.10346

Coefficientsa

Model

Unstandardized

Coefficients

Standard

Coefficients

B t Sig.

Std.

Error Beta

1 (Constant)

External Regulations

Public Context

Management function

Underwriting Guidance

1.358

-.011

-.140

.510

.131

2.052

.087

.104

.120

.157

-.011

-.118

.500

.135

.661

-.126

-1.344

4.255

.836

.512

.900

.186

.000

.408

Dependent Variable: Anti-Insurance Fraud

CONCLUSION

The goal of this quantitative study was to determine which anti-fraud protocols should be used

when handling auto insurance claims. Awareness of claims processes and procedures will aid

in the development of procedures to enhance non-life insurers' anti-fraud policies.This will

invariably result in less financial losses and more effective and efficient fraud case

management. This research might provide insurance companies with a checklist or guideline

for improving their corporate governance policies.

Fifty-one people replied to the survey, all of whom worked in the insurance industry and had

more than 15 years of experience investigating insurance fraud. A series of 15 questions were

asked of the participants to gain insight into their interactions with insurance fraud and claim

processes. The findings proved that there exists a significant relationship between all the four

independent variables which are namely external regulations, public context, management

functions as well as underwriting guidance.

RECOMMENDATION

Person and organisational communication among all parties involved in an insurance fraud

investigation must improve. From the start of the investigation, communication should be open

and comprehensive, and information sharing should continue until the case is closed.Both

parties involved in these cases should be aware of the potential for Group Think to affect

communication and decision-making, and steps should be taken to minimise its effect. Since

this was a small study with only 51 participants, the results are likely to be limited. The

participants, on the other hand, came from a wide range of backgrounds, including all 11

insurance firms, and had years of experience investigating insurance fraud. Furthermore,

despite the fact that the findings only contained a small number of views and experiences, the

knowledge is important to everyone concerned.

LIMITATION

This study's shortcomings, like many others, include the significant drawback of having one- time users as well as non-life insurance users as users of this programme in this study. The

Page 8 of 10

100

Archives of Business Research (ABR) Vol. 9, Issue 6, June-2021

Services for Science and Education – United Kingdom

second restriction is that the respondents are limited to only those from Vietnam region.With

this constraint, there is a possibility of bias in the responses to the questions in terms of the

localised interpretation of the problem.

References

Abramvosky, A. (2008).An unholyalliance: perceptions of influencein insurancefraud prosecutions and the need

forreal safeguards. TheJournal of Criminal Law& Criminology, 98(2), 363-399. doi:0091-4169/08/9802-0363.

Ahlfinger, N. R.,&Esser, J.K. (2001). Testingthe Group Think model: effects of promotional leadership and

conformity predisposition.Social Behavior and Personality, 29(1), 31-42.

Al-Hussaini, S. H., Turi, J. A., Altamimi, A. N. A., Khan, M. A., & Ahmad, M. (2019). Impact of talent management

strategies on employee performance behaviour with the mediating role of talent management outputs. Archives

of Business Research, 7(3).

Alonso, C. (2006, June). Impostor fraudand incontestabilityclauses in lifeinsurance policies. TheFlorida Bar

Journal68-73.

AIPSO (2009). Auto insurancefraud: it’s everyone’s business. Johnston, RI:AIPSO. Retrieved from

https://www.aipso.com/Portals/0/Fraud/SIUTrifold-WebLayout2.pdf

Backstrom, J. C. (1998, January29).InsuranceFraud: A prosecutor’s perspective.1998

Browne, J. Z. (2002, November28). Auto insurancefraudringbusted.TheNewYork

Amsterdam News,6-7.

Burnham, R.W. (2009).Testimonyon insurancefraud presented to HouseInsurance

Butler, J.C., Cohen, M.L., Friedman, C. R., Scripp, R.M., &Watz, C.G. (2002).Collaboration between public health and

law enforcement: new paradigms and partnerships for bioterrorism planning and response. Emerging Infectious

Diseases, 8(10), 1152-1158.

Cherny,A., O’Reilly, J., &Grabosky, P. (2006).The multi lateralization of policing: the case of illicit synthetic drug

control. Police Practice and Research, 7(3), 177-194.

Cole, C. R., &McCullough, K.A.(2007). A review of some possible solutions to the uninsured motorist

problem.CPCU Journal,60(2), 1-10.

Dalrymple, T. (2005, January10). Why fraud goes unpunished. New Statesman,21-22.

Dittenhoefer, M. M.(2007). Yes, Virginia, thereis auto insurance fraud! Retrieved from

http://library.findlaw.com/2007/Jan/1/247186.html

Duffey, W. S. (2003). Public health and lawenforcement: intersectinginterests,

collegialityandcooperation.ThePublic’s Health and the Law in the21st Century, 32(s4),19-24.

Eidsmore, D. (2003).Insurancecallcentersandfraud investigation: whatrole can customer servicetapes servein

fraud prosecution.CPCU eJournal,56(3), 1-10.

Fritscher,L. (2014, June27). Group Think -Definition. Retrieved from

http://phobias.about.com/od/glossary/g/Group Thinkdef.html

Glink,I. R. (2009).Reportsmortgagefraud and mortgage scams increasein 2008.Retrieved

fromhttp://www.thinkglink.com/article/2009/07/20/fbi-reports- mortgage-fraud-and-mortgage-scams- increase-in-2008

Hall, J., Mercy, J.A., Dammers, K., Scripp, R.M., Daughtry, S., & Goodman, R.A. (2010). Public health andlaw

enforcement: futuredirections.The Journal of Law, Medicine & Ethics, 32(s4)52-57.

Hellman, Y. (2009). An innovative partnership of law enforcement and higher education.

FBILaw Enforcement Bulletin,78(2)6-12.

Page 9 of 10

101

Pathmananathan, P. R., & Aseh, K. (2021). Identying Factors That Influences Fradulences in Non-Life Insurance Companies. Archives of Business

Research, 9(6). 93-102.

URL: http://dx.doi.org/10.14738/abr.96.10346

Hillison, W.,Sinason, D., Carson, J.M., &Marlett, D.C. (2000). Theinsurancefirm internal auditor as fraud-buster.

CPCU Journal,53(3),168-181.

Holgersson, S., &Gottschalk, P. (2008). Policeofficers’professional knowledge.Police

Practiceand Research, 9(5), 365-377. doi:1080/15614260801980802

Hoyt, R. E., Mustard, D.B., &Powell,L. S. (2004). The effectiveness ofstatelegislation in mitigating moral hazard:

evidencefrom automobileinsurance. Retrievedfrom http://129.3.20.41/eps/ri/papers/0501/0501001.pdf

InsuranceResearch Council. (2002).Fighting insurancefraud—surveyof insurer anti- fraud efforts. Retrieved from

http://www.iso.com/Research-and- Analyses/Studies-and-Whitepapers/Fighting-Insurance-Fraud-Survey-of-Insurer- Anti-Fraud-Efforts.html

Kang, H.B. (2001).Fightinginsurancefraud inIllinois: insurers, regulatorsand consumers. CPCU Journal,54(4),198-

213.

Karsjens, K.L.(2004). Enforcement of the privacyruleas related to physician deception to insurance

companies.TheAmerican Journal ofBioethics, 4(4), 79-82.

Kiegher, S. M. (2001). Communication in the evolvingworld ofcasemanagement.

Health&SocialWork, 25(4), 227-232.

Kreidler, M. (2008). Report on theinsurancecommissioner’s special investigations unit.,September, 1-7.

Levine, E. (2009). Policing goes online. Retrievedfromhttp://www.onlinemag.net

Marx, G. T. (1987). The inter weaving of public and private police undercover work.InC.

Shearing & P. Stenning (Eds.), Private Policing (pp 172-193). NewYork, NY: Sage Publications. Retrieved

fromhttp://web.mit.edu/gtmarx/www/private.html

Morley,N. J., Ball,L.J., & Ormerod, T. C. (2006). How the detection of insurance fraud succeeds and fails.

Psychology, Crime and Law, 12(2), 163-180. doi:10.1080/10683160512331316325

Packer, D. J. (2009). AvoidingGroup Think. Psychological Science, 20(5),546-549. Palasinski, M. (2009). Testing

assumptions about naivety in insurance fraud. Psychology, Crime & Law, 15(6), 547-553.

doi:10.1080/10683160802392444

Plachta, M. (2005). Jointinvestigation teams.European Journal of Crime, Criminal Law and CriminalJustice, 13(2),

284-302.

Puonti, A. (2004). Tools for collaboration: usingand designingtools in interorganizational economic- crimeinvestigation.Mind, Cultureand Activity, 11(2), 133-152.

Redorbit.com. (2010). Law enforcement, auto insurer partner in major crackdown on staged car crashes. Retrieved

from

http://www.redorbit.com/news/business/1857631/law_enforcement_auto_insurer_partner_in_major_crackdo

wn_on_staged/index.html

Rice, T. (2008). Insurance fraud negating accountability. Retrieved, from

http://www.ahrc.com/new/index.php/src/news/sub/article/action/ShowMedia/id/4200

Richard, M., &Lebl,L.S. (2009). Securityand data sharing.PolicyReview,154(2009 04

01), 79-94.

Richards, E. P. (2002). Collaboration between publichealth and lawenforcement: the constitutional

challenge.Emerging Infectious Diseases, 8(10), 1157-1161.

Ryan,L.(2012, May1).Recognizing andavoiding group think. Retrievedfrom

http://www.business2community.com/strategy/recognizing-and-avoiding-Group Think-0172190

Scafidi, F. (2010). Rise in suspicious haildamage claims. Retrieved from https://www.nicb.org/newsroom/news- releases/rise-in-suspicious-hail-damage-claims

Page 10 of 10

102

Archives of Business Research (ABR) Vol. 9, Issue 6, June-2021

Services for Science and Education – United Kingdom

Scott, G. M. (2010). Auto insurancefraud on therise: is the economyto blame?

InsWeb.com. Retrievedfromhttp://www.insweb.com/news-features/auto- insurance-fraud-on-rise.html

Secovnie, R. (2006).Insurance fraud—companies, producers and policy holders. NYCS- 211764. InsuranceTraining Institute, Inc. from http://www.iti-ny.com/ifcpphbook3-1-06.pdf

Simmons, K. C. (2008).Thepolitics of policing:ensuringstakeholdercollaboration in the federal reform of local law

enforcement agencies.The Journal of Criminal Law&Criminology, 98(2), 489-539. doi:0091-4169/08/9802-0489

Snyder,D. F. (2005). Proven measures to reduceauto insurance costs, increase choices and expand

competition.Maryland Auto InsuranceTaskForce. Retrieved from

http://www.mdinsurance.state.md.us/sa/documents/AIA-MDautotestimony-101805.pdf

Taarud, N.L.(2006).Insurance fraud bureau: does Wisconsin really need one? Journal of Economic Crime

Management, 4(2). Retrieved from

http://www.utica.edu/academic/institutes/ecii/publications/articles/51D7BD77- A6D1-683B- 768C71F19F3DE9D4.pdf

Taylor, A. (2014).(2014).Insurancefraud laws and penalties. NOLO. Retrieved from

http://www.criminaldefenselawyer.com/crime-penalties/federal/Insurance-Fraud.htm

Tennyson, S. (2008). Moral, social and economic dimensions of insurance claims fraud.

SocialResearch, 75(4), 1181-1206.

Troyer,L.,&Youngreen, R. (2009). Conflict and creativityin groups.Journal ofSocial

Issues, 65(2), 409-427.

Weber, E. P.,Lovrich, N.P., &Gaffney, M. (2005). Collaboration, enforcement and endangered species: aframework

forassessingcollaborativeproblem-solving