Securing Higher Grades Costing Your Pocket? Book Your Assignment at The Lowest Price Now!
loader
Add File

Error goes here

Files Missing!

Please upload all relevant files for quick & complete assistance.

Guaranteed Higher Grade!

BUSN 20016 Research In Business

tag 0 Download 1 Pages / 234 Words tag 08-09-2020

Question:

Insurance fraud, whether this be the padding or exaggeration of legitimate claims (opportunistic fraud) or the deliberate fabrication of fake claims (premeditated fraud) (Baldock, 1997) costs the Australian insurance industry an estimated $2.1 billion per year (Smith, Jorna, Sweeney & Fuller, 2011). It is estimated that one out of every 10 claims made involves a fraudulent activity (Insurance Group Australia, 2004).
 
Akin to many other industries prevention and early detection of fraud is a critical business activity. However the additional costs and administrative processes associated with these activities have negative impacts for the customer, insurance agencies and the overall insurance industry. Customers incur increased cost of insurance premiums, the process of analysing and approving insurance claims become more complex for both the customer and the insurer and this impacts upon general customer satisfaction about insurance agencies (KPMG, 2016).
 
Recent American research identified that up to 24% of Americans surveyed felt it was acceptable to inflate an insurance claim in order to recoup premiums paid out and that 10% of respondents agreed that insurance fraud didn’t hurt anyone (Insurance Research Council, 2013). To date no open source recently published research has been conducted on Australian attitudes towards fraudulent activities within the insurance industry.
 
According to the field of behavioural economics people do not always act in a rational manner (Ariely, 2008), the decision making process is influenced by factors such as personal beliefs, values and social norms (Tversky & Kahenman, 1974, Thaler & Sustein, 2008). This aids to explain why people who are normally law abiding citizens decide to exaggerate losses on a legitimate insurance claim.
 
The purpose of this research paper is to investigate the full impact of fraud within the Australian insurance industry; to explore key reasons why people commit fraud and to explore current Australian attitudes (social norm) towards insurance agencies and insurance fraud. This information can then be used to assist in developing a targeted public awareness campaign and development of fraud prevention strategies for the insurance industry.
 
2. Aim and Objectives The aim of this project is to contribute to the knowledge of why customers commit fraud within the insurance industry sector in Australia to assist in development of appropriate fraud prevention strategies. The key objectives of this project are to:
 
a) Explore the key financial and internal process impacts of customer fraud within the insurance industry b) Explore and identify key causes of customer fraudulent behaviours within the insurance industry c) Explore social norms/ attitudes about insurance fraud as potential factors in preventing/encouraging fraudulent behaviours d) Identify strategies to prevent customer fraud
 
3. A brief methodology In order to address the project aims and objectives the following a mixed methodology approach is proposed:
 
3.1 Comprehensive literature review The first step in developing a clear understanding of the topic at hand is to undertake a comprehensive literature review on the key research themes i.e. customer fraud, insurance fraud, decision making, behavioural economics, social norms, attitudes. This review will include not only published academic papers located via online databases (e.g. EBSCO), but also a review and analysis of business articles, reports and papers from Australian and International Insurance Councils, the Australian institute of Criminology and other relevant organisations.
 
 
3.2 Quantitative and qualitative data Obtaining and reviewing descriptive data over set period (i.e. 5-10 years) from insurance agencies on information such as number of insurance claims made; number of suspicious claims/claims investigated/ claims rejected (and reasons); number of confirmed customer fraud claims; data on yearly changes in fraud premiums, customer satisfaction and customer complaints. Additionally qualitative information will also be sought from insurance agencies regarding fraud prevention and detection strategies, including additional costs of implementing systems, the additional processes required to process claims and impacts upon for example, employee job satisfaction. This information is relevant as it is important to recognise that fraud prevalence may not be an indicator of increased customer fraudulent activities but improved detection methods.
 
 
3.3 Survey research – self-administered questionnaire Following the literature review it is proposed that customer surveys be conducted with the Australian public focussing upon attitudes towards insurance industry to enhance understanding of the issue at hand. Given the sensitive nature of the surveys (i.e. important not to infer the respondent has committed fraud or that fraud is the social norm) the question format and how the questions are phrased will need to be carefully considered. It is also recommended that the surveys be conducted anonymously collecting only demographic data such as age range, gender, and location to aid in identifying trends.
 
 
3.4 Experiment To further ascertain the impact of influencing factors such as social norms on customer decision making, an experiment is proposed. Propose comparing results from a control group to two intervention groups, each given scenarios with different social norm information. Comparisons could then be made between responses of the control and interventions groups to ascertain if there were statistically significant differences between how people responded to the questions. Although this type of experiment occurs in a contrived setting, given the nature of the topic at hand it would be very challenging to set up a reliable and controlled experiment within a natural environment. Sample sizes and sampling approach would need to be carefully considered to ensure representative of the population.
 
 

4. References

 
Ariely, D (2008). Predictably Irrational, Harper Collins. Baldock, T (1997). Insurance Fraud. Australian Institute of Criminology – trends and issues in crime and justice. Retrieved from
 
Insurance Group Australia (IGA) (2004). Hidden costs: Insurance fraud in Australia. Written in cooperation with the Economist Intelligence Unit. Australia: IGA
 
Insurance Research Council (2013) Insurance Fraud: A Public View, 2013 Edition. Retrieved from
 
KPMG (2016) General insurance survey 2016 Retrieved from
 
Smith, RG, Jorna, P. Sweeney, J. Fuller, G (2011). Counting the costs of crime in Australia: A 2011 estimate. Australian Institute of Criminology (AIC Reports Research and Public Policy Series 129). Retrieved from
 
Thaler, R. H, & Sustein, C. R, (2008), Nudge improving decisions about health, wealth and happiness, Penguin books, London.
 
Tversky, A & Kahneman, D, (1974), Judgement under uncertainty: heuristics and biases. Science, Vol 184 (4157), 1124-1131.

 

 
Download Sample Now

Earn back the money you have spent on the downloaded sample by uploading a unique assignment/study material/research material you have. After we assess the authenticity of the uploaded content, you will get 100% money back in your wallet within 7 days.

Upload
Unique Document

Document
Under Evaluation

Get Money
into Your Wallet

Total 1 pages

Cite This Work

To export a reference to this article please select a referencing stye below:

My Assignment Help. (2020). Research In Business. Retrieved from https://myassignmenthelp.com/free-samples/busn-20016-research-in-business.

"Research In Business." My Assignment Help, 2020, https://myassignmenthelp.com/free-samples/busn-20016-research-in-business.

My Assignment Help (2020) Research In Business [Online]. Available from: https://myassignmenthelp.com/free-samples/busn-20016-research-in-business
[Accessed 26 September 2022].

My Assignment Help. 'Research In Business' (My Assignment Help, 2020) <https://myassignmenthelp.com/free-samples/busn-20016-research-in-business> accessed 26 September 2022.

My Assignment Help. Research In Business [Internet]. My Assignment Help. 2020 [cited 26 September 2022]. Available from: https://myassignmenthelp.com/free-samples/busn-20016-research-in-business.


Stuck on Any Question

Our best expert will help you with the answer of your question with best explanation.

question
We will use e-mail only for:

arrow Communication regarding your orders

arrow To send you invoices, and other billing info

arrow To provide you with information of offers and other benefits

loader
250 words
Error goes here

Error goes here

Files Missing!

Please upload all relevant files for quick & complete assistance.

We Can Help!

Get top notch assistance from our best tutors !
Excel in your academics & career in one easy click!

icon

Other Samples

Content Removal Request

If you are the original writer of this content and no longer wish to have your work published on Myassignmenthelp.com then please raise the content removal request.

icon

5% Cashback

On APP - grab it while it lasts!

Download app now (or) Scan the QR code

*Offer eligible for first 3 orders ordered through app!

screener
ribbon
callback request mobile
Have any Query?