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The Pension Trust Company (PTC) in Ghana is the sole agency responsible for the management of the first-tier pension scheme as well as processing of claims submitted by beneficiaries for this scheme. The claim processing system at PTC was wrought with significant delays resulting in severe customer dissatisfaction and hardship to retirees. Hence, a new system – Age 54⁺ project – was developed to address the problems related to claims processing. The purpose of this paper is to report on the efficiency gains from the new claim processing system implemented at PTC and to use the philosophies behind the lean operations concept to explain the results.

Data for this study were obtained from the benefits system of PTC for the period 2009–2013. The data consist of a series of benefits processing time for two groups of 56,000 claimants – those cleared under the Age 54⁺ project and those cleared under the old processing system. The processes of the two claim processing systems were analysed and their processing times compared.

The new system – Age 54⁺ – decreased the average processing time for new claims by 20 per cent. The new system is a simple approach which is driven by a “Let’s Start in Time” idea.

The operations management literature suggests that process redesign approaches and the implementation of continuous improvement techniques represent mechanisms for achieving performance improvements at governmental agencies. This study shows and discusses the redesign of a social security scheme process using a lean operation concept of waste elimination method and application of kanban to deliver performance improvement.

In the service sector, reduction of cycle time is one of the key issues. Among various approaches, Lean Six Sigma became very popular as it provides the organisation the desired speed with quality. The purpose of this paper is to present a Lean Six Sigma case study for reducing cycle time in the claim settlement process in insurance or financial services.

This paper presents an application of Lean Six Sigma methodology for claim settlement cycle time reduction in the insurance sector.

Lean Six Sigma is found to work very well in the insurance sector for reducing process cycle time by carrying out process changes. Mixing statistical and analytical techniques helps to improve the process speed and is very well demonstrated by Lean Six Sigma approach for service organizations.

This paper utilizes Lean and Six Sigma approaches in process improvement and presents an application. The main idea behind this paper is to demonstrate how combining Lean concepts/techniques with Six‐Sigma methodology can speed up problem‐solving approaches. Apart from the paper's value for managers, it can also help researchers to extend this for other areas of business processes.

In view of the fact that claim payouts account for about 70 per cent of annual direct costs in non-life insurance companies and that claims-handling staff sums up to 10-20 per cent of all employees, an optimal claims management environment is of strategic importance. The purpose of this paper is twofold, i.e. on the one hand, the authors introduce a standardized claims management process model and, on the other hand, they apply process benchmarks to various operational parameters.

The proposed claims management process landscape comprises current industry standards for claims handling from a theoretical perspective, supported by practice insights from the industry. Our model aims to reflect the most important claims processing activities. The claims-handling work flow is structured into five core steps, namely, notification, registration, coverage audit, settlement and closing of the claim. For these core steps, the authors differentiate between three claim complexity categories and their associated back-office levels. In the second part of the paper, the authors assess the industry’s claims-handling efficiency. The authors benchmark industry processes with reference to detailed claims management data from 11 insurers in Germany and Switzerland.

The benchmarks are based on the previously defined claims management model and are applied separately to the three retail business lines of car, property and liability insurance. We measure claim process times (cycle times) as well as claim quantities and average claim payouts at different levels. Overall, within each business line, more than 30 data points are gathered from each respondent insurer. This allows us to compare the process performance of different insurance companies and to describe significant differences in their process patterns. Furthermore, principal findings are derived from descriptive statistics as well as ad hoc data analyses.

The paper seeks to contribute to the discussion of how different insurance companies perform in claims management and to define best practice. Our findings are relevant to academics and practitioners alike.

A common distraction to contractors is that of cash management, and particularly incoming payments. In the extreme, a failure to manage a project's cash flows may bring about business failure. A contractor's financial viability rests on how actual payments from an owner are received. The purpose of this paper is to present a method for contractors to evaluate the punctuality and fullness of owner payments based on historical behaviour.

Owners are classified according to their late and incomplete payment practices. The payment profile of an owner, in the form of aging payments received based on claims, is used as a basis for the method's development. Regression trees are constructed based on three predictor variables, namely, the average time to payment following a claim, the total amount ending up being paid within a certain period and the level of variability in claim response times.

The method will be of interest to contractors concerned with managing their cash positions, as well as those persons looking at contractor‐owner relationships.

The method is intended to be used internally within a contractor's organisation to assist in decision making. The method can also be used by subcontractors, suppliers, and consultants. Owners may use the method reflectively to improve their own practices, to save time and cost by reducing disputes, and to develop better owner‐contractor relationships.

This paper represents an original approach, and an original contribution to contractor pre‐tendering risk analysis practices, and an extension to contractor claim‐payment analysis.

Purpose: The scope of this research is to conduct a study on the perceived effectiveness of developments in InsurTech, by determining online use integration in the Maltese insurance market.

Methodology: To do this, the authors employed a self-administered questionnaire to which 471 participants responded on a 5-point Likert scale. We subjected the data collected from this questionnaire to statistical analysis, specifically, exploratory factor analysis (EFA) and multiple linear analysis using the Statistical Package for Social Science (SPSS) version 26.

Results: EFA loaded best on five factors of insurance customers’ perceived effectiveness, which make up the effectiveness model (EM), namely ‘Factor 1 – Internal Process Enhancement’, ‘Factor 2 – Cost-Efficiencies’; ‘Factor 3 – Time-Sensitive Conditions’, ‘Factor 4 – The Contemporary Use of Artificial Intelligence and Marketing in Relation to Customer Service’ and ‘Factor 5 – Customer Relations and Application of InsurTech in Communication’. Moreover, multiple linear regression results show that the perceived effectiveness dimension – EM is statistically significantly related to online use in Malta.

Practical implications: Therefore, it can be argued that the Maltese insurance sector is well prepared to meet the obligations and requirements of the European Green Deal. Findings shed light on the preparedness of the Maltese insurance market to accept innovative green proposals to go online with processes.

Introduction: Blockchain is gaining attention in various industries and sectors. It is described as an emergent technology with immense possibilities similar to how the internet has revolutionised how businesses are currently carried out. Still, various sectors have either not adopted or are in a very nascent stage to adopt blockchain technology in their operations. The current research examines how blockchain can be used in the insurance sector. This industry was chosen as it is extremely relevant in today’s world and directly bears its economy.

Purpose: To determine the current and future path in which the insurance industry is moving about blockchain technology adoption and find synergy between blockchain technology and the insurance business.

Need for study: The insurance industry is highly relevant in today’s world and directly bears the country’s economy. Additionally, blockchain is an emergent technology with immense possibilities similar to how the internet has revolutionised how businesses are done. The current research looks at how blockchain can be used in the insurance business.

Methodology: A systematic literature review was conducted in this study by reviewing literature related to blockchain technology and the insurance sector. Science direct was used as a source of information. For this study, the literature review approach was chosen since it allows us to trace the growth of the subject matter and identify the patterns that have formed through time.

Findings: The study found that the insurance sector has recognised the latent benefits of blockchain technology and has begun to develop its usage in selected cases such as fraud prevention and risk assessment.

Practical implications: The current study can be referred to by academicians, marketers, industry people, and policymakers. The study encourages companies and academicians to further investigate the usage of blockchain in insurance.

While a considerable amount has been spoken and written about the subject of outsourcing, or contracting out, of technical services in libraries, there is little consensus on even the definition of the phenomenon, or its history. The available research shows that arguments in favour of outsourcing are based on supposed cost and time savings, while opposition tends to emphasise quality issues. Evidence as to whether outsourcing in general in fact saves money or time tends to be spotty, while there is some data supporting concerns about a decline of quality in many outsourcing projects.

The case is particularly well suited to entrepreneurship, marketing, technology, innovation, or strategy courses.

This teaching case is aimed at postgraduate students in management or business programmes.

This case follows the Kenyan healthcare tech company Savannah Informatics as they contemplate how the company will continue to grow in a post-pandemic world. Savannah is the market leader in electronic claims validation solutions for the Kenyan healthcare system. Their flagship product, the digital platform Slade 360, allows health insurers, healthcare providers, and patients to share claims information for health services in real time, drastically reducing payment transfer times, incidents of fraud, and account errors. The Covid-19 pandemic and the subsequent lockdown mandates from the Kenyan government have reduced short-term revenues by driving down hospital visits for citizens overall, but they have also created a demand for telemedicine and more online healthcare solutions. CEO John Muthee and his co-founders are left to consider their options for growing Savannah Informatics: expanding into new markets, creating more solutions for their insurance and provider customers in Kenya, or diversifying.

Identify the key challenges facing Savannah

Analyse the organisation using the 5Cs model (company, customers, competitors, collaborators and context) and VRIO (value, rarity, imitability, and organisation) analysis

Assess the growth opportunities available to Savannah and make recommendations

Purpose: Blockchain is the most significant technological innovation of the generation following the internet. However, most individuals are unaware of how it will affect the insurance business.

Design/methodology/approach: The present study utilises a systematic review methodology to assess the existing literature on blockchain technology in the insurance industry.

Findings: Currently, few insurance companies are researching and using blockchain technology for automated claims, fraud detection, and cash flow tracking. The use of blockchain technology in the insurance business is still in its early stages, and many significant issues remain unsolved. This chapter lays out the discussions regarding the current state of blockchain technology in the insurance business.

Practical implications: Using distributed ledger technology (DLT), all the stakeholders can easily exchange the relevant information on a real-time basis. In particular, blockchain technology will help all insurance companies minimise discrepancies related to fraudulent claims by keeping track of the customer’s history of the customer reducing administrative costs.

Originality/value: It has been observed that very few studies have been conducted in this field. This is a holistic study that focuses on the applications of blockchain technology in various non-life insurance segments.