• Carbon Commitments: Designing a Global Greenhouse Gas Emissions Reduction Plan for INSEAD Business School

    What steps must be taken to successfully developing and executing carbon emissions reduction in a global business school? What can other organizations learn from INSEAD's experience, which brought together academic and industry practice? The case study take a 'process view' that emphasizes the rigorous approach to planning carbon emissions reduction, and explains the challenges and enablers, particularly the need to balance different stakeholder views.
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  • To Catch a Thief: Explainable AI in Insurance Fraud Detection

    White lies (inflated claims) cost the insurance industry billions of dollars every year. After investing heavily to automate workflows (from policy subscription to claims processing), digitization has ironically made fraud easier to commit and harder to catch. To an industry drowning in data and paying out millions per day for fraudulent claims, artificial intelligence and machine learning offer new hope. The case introduces what it calls "explainable AI" seen through the eyes of a senior operations executive at Shift, an insurtech unicorn company whose algorithm is used by global insurers such as Generali France and Mitsui Sumitomo to fight fraudulent claims. The focus is on strategy making (following a private equity funding round) and algorithm-level decisions. With an anonymized dataset of more than 10,000 claims and a guided coding exercise in statistical computing softwares R and Python, students are able to backtest their strategies on historical data. Beyond the exercise there is ample material to drive case discussion. https://publishing.insead.edu/case/to-catch-a-thief
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  • To Catch a Thief, Exercise

    White lies (inflated claims) cost the insurance industry billions of dollars every year. After investing heavily to automate workflows (from policy subscription to claims processing), digitization has ironically made fraud easier to commit and harder to catch. To an industry drowning in data and paying out millions per day for fraudulent claims, artificial intelligence and machine learning offer new hope. The case introduces what it calls "explainable AI" seen through the eyes of a senior operations executive at Shift, an insurtech unicorn company whose algorithm is used by global insurers such as Generali France and Mitsui Sumitomo to fight fraudulent claims. The focus is on strategy making (following a private equity funding round) and algorithm-level decisions. With an anonymized dataset of more than 10,000 claims and a guided coding exercise in statistical computing softwares R and Python, students are able to backtest their strategies on historical data. Beyond the exercise there is ample material to drive case discussion. https://publishing.insead.edu/case/to-catch-a-thief
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  • Going for Global: Building a Winning Private Equity Platform at Canada's Largest Pension Fund, CPP Investments

    The case explores the direct investment strategy of CPP Investments, one of the largest and most influential pension funds and private equity investors globally. Through an analysis of its acquisition and later sale of a controlling stake in GlobalLogic, students follow the Canadian Pension Fund's private equity and venture capital investing strategy.
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  • En Classe: Aligning Incentives in the Public School System across the Democratic Republic of Congo

    En Classe is an educational foundation operating in Kinshasa, capital of the Democratic Republic of Congo (DRC), one of the poorest countries in the world, where nearly 61 million people live on less than $1.90 a day. Twelve million children do not attend school and only a quarter of those who do ultimately complete secondary education. Most government-run schools are in a state of disrepair, often lacking roofing, toilets and desks. With a vision of improving the lives of Congolese children through sustained improvement of schooling, since its founding En Classe has renovated and helped to manage 18 government schools, reaching over 15,000 children. Beyond rebuilding the infrastructure, it also provides free teacher training, reading tablets, and leadership workshops for pupils. In 2019, En Classe embarked on a project to develop a 'model school' for the remaining schools and for future fundraising in an effort to scale up its activities. It faces three challenges. First, lacking formal authority over teaching and administrative staff, it has only non-monetary incentives to encourage the them to adopt new teaching practices and improve student outcomes. Second, most teachers receive no salary from the government and rely on money raised directly from the parents, who are often unable to pay, and pupils perform poorly in state exams. Third, since its founding, the original management team has moved out of the DRC and now manages En Classe remotely using a local team of employees, which proves challenging. Looking ahead, the founders want to transfer more responsibility to the local team.
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  • BeefChain: Blockchain and the Dynamics of Traceability, Quality and Value Capture in the Beef Industry

    The case describes the organizational, operational, and financial challenges faced by BeefChain, a blockchain implementation in the cattle industry, following the successful completion of pilot projects and certification by the US Dept of Agriculture. Among them are need for an efficient revenue model that can scale up in a seamless fashion and a viable business model to ensure the financial success of all the stakeholders.
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  • Lemonade: Delighting Insurance Customers with AI and Behavioural Economics - A Disruptive InsurTech Business Model for Outstanding Customer Experience and Cost-Effective Service Excellence

    This case explores InsurTech start-up Lemonade's disruptive new business model aimed at creating and delivering a 'shockingly great user experience' around a 'lovable brand' - in an industry plagued by low customer satisfaction. The digital disruptor leverages principles of behavioural economics to address conflicts of interest and mistrust which prevail in the existing industry. It uses digital technologies to automate, accelerate and manage an impressive amount of work - with few employees - thereby reducings customer effort and , increasing customer satisfaction to achieve cost-effective service excellence. The effortless experience is aggressively priced and relies on a flexible subscription-based pricing model. Artificial intelligence (AI), data and machine learning are key in the race to achieving data parity with incumbents. The case culminates in Lemonade's filing for an initial public offering (IPO) and asks where growth should come from next: incremental improvements, further expansion across the United States, global expansion beyond Germany and the Netherlands, or from new types of property.
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  • Can 3G Capital Make Burger King Cool Again? Brand Building Under Zero-Based Budgeting

    When 3G Capital bought Burger King from TPG, Bain Capital and Goldman in 2010, the fastfood chain was losing momentum. By 2014, the business was back in growth mode but the Burger King brand was still lacking lustre and it was unclear if the celebrity-heavy ad campaign would work. Could new CEO Daniel Schwartz and his team make the brand cool again - on the cheap? Drawing on data from a brand audit, the challenge is to (i) define the brand's identity and choose among five positioning ideas; (ii) allocate expenses between television, digital and PR, and brand and restaurant redesign. For the digital and PR components, for example, students have to evaluate eight mock-ups created by Burger King's agency, and come up with their own ideas for Burger King to evaluate. Please visit the https://cases.insead.edu/burger-king/ dedicated case website to access supplementary material.
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  • Candy Crush? Aligning Health, Business and Pleasure in the Chocolate Industry

    Chocolate candy marketers like Mars, Nestlé, Hershey and Ferrero are under pressure to respond to the stricter nutritional targets set by governments, changing consumer tastes, and competition from healthier brands like Kind or Cliff. Should traditional chocolate makers reformulate their products with less sugar content (and if so, should they announce it)? Should they reduce portion or package sizes (and if so, should they reduce prices)? More generally, is obesity their responsibility? Is collaboration with competitors, researchers and advocacy groups the solution? How can they grow their business without contributing to the obesity epidemic? Please visit the https://cases.insead.edu/candy-crush/ dedicated case website to access supplementary material.
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