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Proceeding Paper

A Case Study on the Particularities and Sustainability of the Concepts of TQM, Quality Control, and Risk Management in the Corporate Insurance Industry: Loss and the Incidence of Catastrophic Risks †

by
Narcis Sebastian Păvălașcu
and
Manuela Rozalia Gabor
*
“G.E. Palade” University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, 540142 Târgu Mureș, Romania
*
Author to whom correspondence should be addressed.
Presented at the 14th International Conference on Interdisciplinarity in Engineering—INTER-ENG 2020, Târgu Mureș, Romania, 8–9 October 2020.
Published: 10 December 2020

Abstract

:
The development of quality control and risk management systems is a priority for any industry and especially for the corporate insurance industry. Defective product and work incidents represent 14% of the total number of insurance claims, serving as the main loss of liability for businesses. According to a Allianz Global Corporate and Specialty press release, the cyber risks and impact of new technologies will have an increasing influence on the landscape of corporate losses in the coming years. Our results from this study conclude that the emerging business risks for the next 3–4 years are as follows: cyber incidents, 48%; new technologies, 30%; and changes in legislations/regulations, 28% (i.e., the present pandemic cause by COVID-19, the Brexit, trade wars, and tariffs etc.).

Published: 10 December 2020

1. Introduction

The development of quality control and risk management systems is a priority [1] for any industry and especially for the corporate insurance industry. The Allianz Global Corporate and Specialty (AGCS) report [2] highlights the ascension of defective products in 2018 compared to 2014 [3] (Table 1). Defections rose from the ninth to the fifth largest loss incurred by companies worldwide. Defective products and work incidents account for 14% of the aggregate value of claims paid out to businesses, and are as such a root cause of liability losses. Risk management involves the assessment of risks facing an organization. Some risks can be avoided, but what remains must be borne by the organization or transferred through insurance [4].
The core causes of products being defective include, according to the Allianz Report 2018 [2]: product recalls, costs of defect repairs in the car-making industry, revenue loss due to businesses shutting down as a result of a significant percentage of defective products being delivered, food contamination, allergens etc.
Trends such as globalization and industry consolidation are conducive to growing claims on insurance policies covering multiple jurisdictions, according to the Allianz Report 2014 [3]. According to European Insurance [5], the insurance sector is the single largest institutional investor in the EU with more than EUR 10 bn in managed assets invested across the economy in 2017, which equals to 63% of the EU’s GDP [5].
Further causes that result in big business losses in various industries include:
  • Business disruption as a result of natural disasters (flood, earthquake, fire etc.).
  • Business disruption because of terrorist acts. Products sold in the insurance industry also include policies that cover losses caused by acts of terrorism.
  • Business disruption because of cyberattacks, as products sold in the insurance industry also include policies that cover losses caused by cyberattacks.
  • Environmental liability insurance and losses from industrial accidents, which affect the environment [6].
  • Third party liability insurance for nuclear, oil, and gas operations [6], with Romania yet to develop this sector as its experience/expertise in the area is limited.
  • Other business sector insurance covers losses caused by [7] a loss of key personnel, risk management, green business [8], terrorism, insurance against kidnapping of a company’s managing team or key personnel, etc.
The latest business insurance packages included terrorism insurance [9].
According to a press release issued by AGCS, which from 2013 to 2018 covered 470,000 global insurance claims from more than 200 countries, cyber risks and new technologies’ impact will increasingly affect the landscape of corporate losses over the coming years. However, fire and explosion incidents cause the highest claims to insurers, according to recent AGCS research. Most corporate insurance claims arise from technical or human factors rather than natural disasters, such as hurricanes, that inflicted devastating losses over the past two years.
The top perils for companies in 2019 include the following hierarchy (in terms of criticality):
  • Business interruption (discontinuation of business because of various causes), 37% down from 2018 (42%)
  • Cyber incidents, 37% down from 2018 (40%)
  • Catastrophes attributable to natural causes, 28% down from 2018 (30%)
  • Changes in laws and regulations, 27% up from 2018 (21%)
  • Market development, 23% slightly up from 2018 (22%)
  • Fires and explosion, 19% very similar to 2018 (20%)
  • New technologies, 19% up from 2018 (15%)
  • Climate changes/increasing volatility of weather, 13% up from 2018 (10%)
  • Loss of reputation or brand value, 13% as high as in 2018
  • Lack of a skilled labor force, 9% highlighted by AGCS as a new risk cause in insurance in 2019 as compared to previous years.
Technology creates new threats and business models. Traditional risks such as natural disasters still occur, whereas other threats, such as cybercrimes, are on a par with business interruption and top the Allianz risk chart. For the first time, there have been daily rises in reputational risk, increasing exposure to intangible assets, and volatility and consolidation in the corporate environment. Yet, looking at the future, new technologies bring businesses benefits, risks, and liabilities. However, new technologies also provide an opportunity to prevent and minimize losses and to improve the claim settlement process for corporate customers. The analysis reveals that corporate insurance claims usually are originated by technical or human factors—or non-natural catastrophic events—accounting for 87% of the value of total claims.

2. International Trends in Occurrence of Catastrophic Risks–Statistics and Facts

In the opinion of the National Union of Insurance and Reinsurance Companies in Romania (UNSAR) [6], the rate of penetration for catastrophe insurance in the EU differs across countries, with legislation on natural disaster insurance and people’s education in risk awareness acting as major causative factors. Due to the patchiness of the EU Member States, more thorough research is required to comprehend the specific traits of each country in order to create suitable risk coverage, or coverage layers better suited to the needs of each individual country.
The past 20 years have seen a significant rise in both frequency and impact of disaster type events, which raised concerns in the world insurance industry. Significant (both material and human) losses have been in the public eye and generated governmental efforts to have them covered up, particularly when losses were not insured/insurable. Earthquakes, fires, landslides, or floods all resulted in a financial, social, economic, and political impact in the affected areas [10].
An analysis of the economic losses and insured losses from 1950–2018 worldwide were conducted by Radu and Naghi [11]. The analysis is presented in Table 2, which contains the statistical data supporting this analysis.
A Munich Re research combined with the AON Report 2018 revealed that during 1988–1997, the global economy incurred USD 700 bn as a result of catastrophic events in the region, while such costs amounted to approximately USD 4000 bn over the last two decades (2000–2018), as opposed to the numbers in 2018. The second half of the 20th century saw 250 large scale natural disasters. As shown by the data in Table 1, the loss coverage rate provides a measure of how economic losses are recovered due to insurance coverage. During the periods under review, this rate has seen a notable rise (doubling in value), indicating that the insurance transfer method has seen steady rises; therefore, this supports specialist companies’ acknowledgment of natural disaster events.
Because there are a visible number of increasing events and values for the variables in Table 1, we used a statistical method (Student’s t-test) with SPSS statistical software the mean of values by grouping: after/before 1990 and after/before 2000. The results from Table 3 and Table 4 show that there are statistically significant differences for these variables grouped from the years 1990 and 2000.
This trend in conjunction with the rising economic losses led us to conclude that, within the 70 years under review, the difference between the insured losses and uninsured losses decreased steadily, which confirmed that insurance covered these economic losses.

3. Particularities and Applications of the Corporate Insurance Industry: Total Quality Management (TQM) and Quality Control Globally and in Romania

Total quality management (TQM) has a host of definitions [12] but it is basically a quality management system that provides support for the continued improvement of products or services with zero defects. The advantages and benefits of implementing TQM in the insurance industry include [12] an increased market share, improved profitability, long-term cost-cutting [13], skilling and retaining company employees [14], heightened productivity, an innovative work environment, and a value-added difference.
The service and financial sector have been slow to implement the TQM principles for several reasons [15]:
  • Quality and productivity policies are less clear than in the production sector.
  • Service and financial companies are often shielded against international competitors under regulations, protection legislation, and cultural barriers.
  • Financial institutions, particularly insurance companies, make promises that often are made good on only after a significant amount of time.
TQM is capable of defining, spotting, and prioritizing exceptional conditions that require a management decision [15]. This is the most compelling reason why a company’s Actuarial Department should be the most informed and active participants in any TQM effort [15].
Big damage reports amount to a successful approach to this issue, yet they come with the downside of dealing only with cases that have already occurred. In this case, TQM’s imperative is to limit management changes that may affect the claim settlement workflow to those changes that are required and supported by proof or are simply inevitable. The Actuarial Department is faced with the challenge of needing to interpret and use the monitoring data provided by the claim department to improve the accuracy and dynamic reaction of the actuarial projections [15].
There are countries in the world, such as Palestine [16], which have conducted research on key activities to ensure that the TQM concept is successfully implemented by insurance companies across the country [16]. A second example is Oman [17], which put together a “manual guide for minimal quality assurance standards for services provided to clients of brokers and insurance companies”, which contains precise provisions for each individual aspect. It puts forth several quality standards based on the type of service provided by the insurance firm [17]. Another specific example of how to implement the TQM concept in the insurance industry is what has occurred in Indonesia [12], where an emphasis is placed on the fact that the insurance industry increasingly uses new channels for new technologies and tools. Authors have reviewed how TQM has been implemented in an insurance company that offered the following services: worker compensation, defective machinery, all-risk contractors, safe cash, cash-in-transit, and third-party liability.
Experience of insurance loss adjusters shows that insurance companies often use their QA (Quality Assurance) audit mission aggressively to deter what auditors describe as “inflated payments”. In other words, one of the things sought by a QA auditor is the amount of money paid by a loss adjuster for a claim, irrespective of whether that amount is too small, fair, or too big [18].
Another insurance expert, Sandquist [19], focused on the implementation of Kaizen and TQM in the insurance industry. Sandquist claimed that focus on product quality, when used in insurance marketing, implies seeing beyond a product’s features to better understand customers’ insurance needs. Telematics is a means used by leading insurers to achieve this.
Examples of top ISO-certified insurance companies that successfully implemented TQM should include the US global Crawford and Company, which represents 70 countries, including Romania, who periodically uses press releases to inform which of its branches or representative offices has become ISO 9001:2000 certified (i.e., entities in the Netherlands [20] or Australia [21] for ISO 27001 for information security management system (ISMS) in the wake of an audit work by Lloyd’s Register Quality Assurance).
As far as the concept of risk management is concerned, it is internationally recognized that, in the insurance industry, wide principles that should be embedded into a risk management framework are provided covering the strategy, organizational structure, policies, and procedures related to the management of the implicit risks in such business [11]. To achieve this, the Monetary Authority of Singapore [22] has proposed an entire process to address those risks generated by core insurance activities, including product development, pricing, underwriting, claim handling, and reinsurance management. Moreover, with regard to risk evaluation, the consulting firm KPMG offers the following recommendations [23]: understanding the entity; a plan to engage in-house and third party experts; internal audit; service providers and other auditors as required; evaluation of the relevant designs and implementation of the relevant controls; arranging talks to evaluate and plan risks; identification of audit strategy; and planning the required audit approach.

4. Conclusions

Over the last few years, natural catastrophic events have inflicted more losses upon economies around the world. Global climate changes, whether or not as a result of human activities, and the growing population density, mostly in the exposed areas, are the top causes responsible for the growing volume of economic losses both in developed countries and in those with an emerging economy. The more developed the economy of a region, the bigger the economic losses caused by catastrophes.
In terms of how a market can recover from such economic losses, a significant role is played by insurance, reinsurance, and capital market. The insurance and reinsurance industry is therefore faced with an enormous challenge: to identify solutions to manage issues posed by the growing impact of natural disasters around the world. This is clarified by one of the proposals in the TQM–quality control–risk management consolidation.
Thus, the seven conventional quality control tools can also be used in the corporate insurance industry, i.e., Pareto charts, cause-and-effect diagrams (fishbone diagram), histograms, control diagrams, scatter diagrams, inspection checklists, and the stratification method. Moreover, J. Chen and J.-H. Chen proposed, in 2011 [24], a model for risk management (Figure 1), which can be also applied in the insurance industry.
An innovative solution contributed by UNSAR (The National Association of Insurance and Reinsurance Companies in Romania) is parametric index-based weather insurance for risk management caused by/originating from natural disasters [10]. Another risk management tool in the corporate insurance industry put forth by UNSAR is insurance pricing as a market incentive for promotion of prevention and risk awareness and minimization [10].
Ongoing evaluation of the quality of services provided to customers to promote it, based on the insured’s expectation and satisfaction, is one of the key methods in fostering a competitive environment in the insurance market to ensure a better performance level, as well as a better capacity to cope with a volatile market exposed to local and global economic changes [17].
Over the last few years, a growing trend of claims has arisen from quality control issues [25]. Several methods to mitigate this risk using corporate insurance should include:
  • Implementation of the following elements for a company’s quality control policies, which guarantees for professional liability and general liability: alpha and beta testing, formal client acceptance procedure, prototype development, statistic quality control, supplier check process, TQM, writing and documenting quality control program, and a client’s consent to each individual stage of the project.
  • Meeting one or more widely accepted industry standards: UL/CSA, ISO 9000, CE MARK, ANSI etc.
  • Performing pre-launch/pre-dissemination tests to protect clients against malicious codes and/or other security vulnerabilities in the company’s services.
  • Availability of a plan to maintain documents/agreements for no less than 7 years.
  • Firms must create business continuity plans to manage this risk [26].
Lastly, we should mention several reasons to introduce TQM, quality control, and risk management in the corporate insurance industry [27]: prevent E&O; follow the existing workflow/procedure; allow for an effective workflow/procedure; monitor the workload; and maintain customer service quality.

Author Contributions

Conceptualization, N.S.P. and M.R.G.; methodology, M.R.G.; software, M.R.G.; validation, N.S.P. and M.R.G.; formal analysis, N.S.P. and M.R.G.; investigation, N.S.P.; resources, N.S.P.; writing—original draft preparation, N.S.P.; writing—review and editing, M.R.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

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Figure 1. Model suggested by J. Chen and J.-H. Chen [24] for risk management.
Figure 1. Model suggested by J. Chen and J.-H. Chen [24] for risk management.
Proceedings 63 00003 g001
Table 1. The top causes for business losses in 2018 (a) and 2014 (b).
Table 1. The top causes for business losses in 2018 (a) and 2014 (b).
Top Causes of Loss by Total Value of Claims (2013–2018) (a)Top Causes of Loss by Total Value (2009–2013) (b)
1Fire/explosion24%1Grounding
2Aviation collision/crash14%2Fire
3Faulty workmanship/maintenance8%3Aviation crash
4Storm7%4Earthquake
5Defective products6%5Storm
6Damaged goods
(including handlings/storage)
5%6Bodily injury
(including fatalities)
7Machinery breakdown
(including engine failure)
5%7Flood
8Water damage3%8Professional indemnity
9Ship sinking/collision2%9Product defects
10Professional indemnity
(e.g., negligence/bad advice)
2%10Machinery breakdown
Table 2. Analysis of 10-year periods of natural disaster impacts (USD billion in 2018).
Table 2. Analysis of 10-year periods of natural disaster impacts (USD billion in 2018).
1950–19591960–19691970–19791980–19891990–19992000–20092010–2018
Number of events2925478391653257738612988
Economic losses605818,44517,18153,845746,015892,3121,354,014
Insured losses0.0330.0660.1130.23998.8479739
Damage rate of economic losses0.540.360.660.4413.2453.6854.58
Average damage on the event0.0207470.03372030.02047790.03257410.289490.2311090.453151
Average insured damage on the event0.0001130.00012070.00013470.00014460.0383390.1240610.247323
Source: [11].
Table 3. ANOVA for the group before/after 1990.
Table 3. ANOVA for the group before/after 1990.
Sum of SquaresdfMean SquareFSig.
Number of eventsBetween Groups9,141,660.96419,141,660.96423,9710.004
Within Groups1,906,814.7505381,362.950
Total1.105 × 1076
Economic lossesBetween Groups1.625 × 101211.625 × 101240,0800.001
Within Groups2.027 × 101154.054 × 1010
Total1.828 × 10126
Insured lossesBetween Groups330,108.8651330,108.86579610.037
Within Groups207,336.051541,467.210
Total537,444.9166
Coverage rate for economic lossesBetween Groups2742.85712742.85712,2990.017
Within Groups1115.1175223.023
Total3857.9746
Average damage per eventBetween Groups0.15210.15228,4980.003
Within Groups0.02750.005
Total0.1796
Average damage insured per eventBetween Groups0.03210.03272300.043
Within Groups0.02250.004
Total0.0546
Source: own calculations with SPSS program based on data from [10].
Table 4. ANOVA for the group before/after 2000.
Table 4. ANOVA for the group before/after 2000.
Sum of SquaresdfMean SquareFSig.
Number of eventsBetween Groups7,186,572.01417,186,572.0149.3040.028
Within Groups3,861,903.7005772,380.740
Total1.105 × 1076
Economic lossesBetween Groups1.302 × 101211.302 × 101212.4030.017
Within Groups5.251 × 101151.050 × 1011
Total1.828 × 10126
Insured lossesBetween Groups495,853.5531495,853.55359.6100.001
Within Groups41,591.36358318.273
Total537,444.9166
Coverage rate for economic lossesBetween Groups3727.67213727.672143.0400.000
Within Groups130.301526.060
Total3857.9746
Average damage per eventBetween Groups0.09910.0996.1650.056
Within Groups0.08050.016
Total0.1796
Average damage insured per eventBetween Groups0.04510.04525.7980.004
Within Groups0.00950.002
Total0.0546
Source: own calculations with SPSS program based on data from [10].
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MDPI and ACS Style

Păvălașcu, N.S.; Gabor, M.R. A Case Study on the Particularities and Sustainability of the Concepts of TQM, Quality Control, and Risk Management in the Corporate Insurance Industry: Loss and the Incidence of Catastrophic Risks. Proceedings 2020, 63, 3. https://0-doi-org.brum.beds.ac.uk/10.3390/proceedings2020063003

AMA Style

Păvălașcu NS, Gabor MR. A Case Study on the Particularities and Sustainability of the Concepts of TQM, Quality Control, and Risk Management in the Corporate Insurance Industry: Loss and the Incidence of Catastrophic Risks. Proceedings. 2020; 63(1):3. https://0-doi-org.brum.beds.ac.uk/10.3390/proceedings2020063003

Chicago/Turabian Style

Păvălașcu, Narcis Sebastian, and Manuela Rozalia Gabor. 2020. "A Case Study on the Particularities and Sustainability of the Concepts of TQM, Quality Control, and Risk Management in the Corporate Insurance Industry: Loss and the Incidence of Catastrophic Risks" Proceedings 63, no. 1: 3. https://0-doi-org.brum.beds.ac.uk/10.3390/proceedings2020063003

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