2020
DOI: 10.1177/2053951720950350
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The value of sharing: Branding and behaviour in a life and health insurance company

Abstract: As Big Data, the Internet of Things and insurance collide, so too, do the best and the worst of our futures. Insurance is summoned as an example of the interference in our private lives that is already underway everywhere. In this paper, we pause to reflect on this argument. Can changes in the way insurance measures the value of behaviour really serve as an example of the individual and social harms of datafication? How do we know? Insurance is a mathematical relationship staged between individuals and groups,… Show more

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Cited by 20 publications
(16 citation statements)
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“…These financial arrangements are important to understanding the technical and commercial challenges of disrupting traditional insurance in the direction of more 'microscopic', personalised risk assessment. They also hint at how intricately linked the technical and sentimental valuations of risk are in insurance (Jeanningros and McFall, 2020;McFall, 2014).…”
Section: Data Behaviour and Innovation In Insurance Practice (On Selling Lemonade)mentioning
confidence: 99%
See 1 more Smart Citation
“…These financial arrangements are important to understanding the technical and commercial challenges of disrupting traditional insurance in the direction of more 'microscopic', personalised risk assessment. They also hint at how intricately linked the technical and sentimental valuations of risk are in insurance (Jeanningros and McFall, 2020;McFall, 2014).…”
Section: Data Behaviour and Innovation In Insurance Practice (On Selling Lemonade)mentioning
confidence: 99%
“…aggregated search engine data including credit checks, license details, claims discount databases, price comparison website quote); social media data and connected device data. This means that insurers have a far, far greater range of 'behavioural' data sources than connected devices to draw upon and even connected device data is more nuanced in their application than the idea of behavioural pricing suggests (see Jeanningros and McFall, 2020;Meyers, 2018;Meyers and Hoyweghen, 2020). Credit information, for example, has been used to price motor and home insurance for several years despite its potential for proxy discrimination (Kiviat, 2019;Prince and Schwarcz, 2020).…”
Section: Data Behaviour and Innovation In Insurance Practice (On Selling Lemonade)mentioning
confidence: 99%
“…So, AI is starting to impact every step of the insurance workflow: from underwriting and regulation to claims (Lloyd's Innovation Team, 2019). As discussed in McFall et al (2020), , Jeanningros & McFall (2020), there has been some academic analysis of how insurance practices are changing to incorporate new data sources such as wearable sensors, telematics devices, or on-line information but more work is needed. Customers are wary about what uses their personal, confidential information might be put to, what effect self-tracking, interactive schemes might have on the accessibility or affordability of insurance.…”
Section: Transformation Of Business Modelsmentioning
confidence: 99%
“…However, the historic lineage of risk classification and pricing suggests that this is unlikely, as these have long been co-constituted through a diversity of non-scientific logicsaffective, emotional, material (McFall and Moor, 2018). Insurtech, rather than being a definitive transformation, will likely co-produce insurance that resonates with both historic and novel social complexities as it is mobilised by insurers through, for example, 'sentimental appeal' in personalised insurance product branding (Jeanningros and McFall, 2020) and enters the homes and lives of policyholders.…”
Section: Materialitymentioning
confidence: 99%