„Willingness to share“ im Kontext Big Data: Wie entscheiden Kunden, ob sie ihre persönlichen Daten mit Unternehmen teilen?

Miesler, Linda; Bearth, Angela

doi:10.1007/978-3-658-12924-8_2

Cited by 6 publications

(4 citation statements)

References 20 publications

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“…Gender has a somewhat surprisingly large impact (c), and more than twice that of age (d). In particular, women are more open to sharing information, which seems to be in contradiction to other studies (e.g., Jai and King 2016;Miesler and Bearth 2016). The impact of the type of information to be shared (e) lies between the impacts of incentives and gender, with information more traditionally linked to claims adjusting being easier to obtain than surveillance-type information.…”

Section: Discussionmentioning

confidence: 63%

“…Younger consumers are more likely to share information, as are male respondents (Jai and King 2016). Miesler and Bearth (2016) developed scenarios in health, retail and finance to find that consumers are relatively unwilling to share financial and behavioral data but comparatively more open to sharing demographic information. Explicit articulation of the benefits of sharing information and control over its use increases the respondents' WSI.…”

Section: Willingness To Share Personal Informationmentioning

confidence: 99%

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Self-Assessment of Driving Style and the Willingness to Share Personal Information

Pugnetti

Elmer²

2020

JRFM

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The availability of better behavioral information about their customer portfolios holds the promise for different and more accurate pricing models for insurers. Changes in pricing, however, are always fraught with danger for insurers, as they enter long-term commitments with incomplete historical information. On the other hand, sharing personal information is still viewed with skepticism by consumers. Which type of personal information are consumers willing to share with insurers, and for what purpose? How would they like to be rewarded for this openness? For insurers, how will the transition shift their risk portfolios? This paper addresses these questions for auto insurance, particularly how the self-assessment of one’s driving style impacts this dynamic. In a survey of approximately 900 Swiss residents, we found that offering a compensation, especially premium discounts, but also services, significantly improves willingness to share information. Higher trust in insurance increases sharing. Women and younger people are more willing to share information. On the other hand, customers are less willing to disclose, to insurers, information not traditionally associated with insurance. The self-assessment of driving style also plays a significant role. More risk-averse driving styles are correlated with higher sharing. Conversely, riskier driving styles are correlated with lower sharing. This result is significant for insurers, as new data-driven pricing and services models should tend to attract less risky customer portfolios.

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Section: Discussionmentioning

confidence: 63%

Section: Willingness To Share Personal Informationmentioning

confidence: 99%

Self-Assessment of Driving Style and the Willingness to Share Personal Information

Pugnetti

Elmer²

2020

JRFM

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“…Several macro-level factors slow down the pace of innovation. The potential to automate on-demand insurance depends on the willingness of insureds to share data (Miesler and Bearth 2016;Pugnetti and Elmer 2020; see also the 'Customer perspectives from a survey in Switzerland' section). Additionally, ethical (e.g.…”

Section: Macro-level Factorsmentioning

confidence: 99%

On the (future) role of on-demand insurance: market landscape, business model and customer perception

Röschmann¹,

Erny²,

Wagner

2022

Geneva Pap Risk Insur Issues Pract

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Over the last decade, digitisation and individualisation have fostered the development of on-demand services in many industries. In the insurance sector, technological progress brings new possibilities on how risks can be insured. This paper studies on-demand insurance and thereby takes three perspectives. First, we define on-demand insurance and study the current market landscape of offerings, leading to a characterisation of the phenomenon. Second, we analyse the on-demand insurance business model, discuss how value is created, and develop a taxonomy of the dimensions among business model components. Third, we describe the awareness and interest of potential customers in Switzerland using novel data recorded from a recent consumer survey. Using the results from the market study, business model analysis, and customer survey, we discuss the (future) role of on-demand insurance, shedding light on the ongoing business model transformation in the insurance industry. We conclude that insurtech companies address emerging customer needs and that traditional incumbent insurers must innovate to keep their prominent role at the customer interface. While novelty and complementarity of on-demand insurance solutions bring value today, we expect that efficiency and customer retention will add more value in the future, especially once technology has matured and business model components are well-aligned.

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“…Care must be taken to select a methodology in which data sharing is as realistic as possible [6]. According to Kehr et al [7], the actual behavior is to be analyzed and not merely intentions, prevailing opinions and irrational behavior.…”

Section: B Online Experimentsmentioning

confidence: 99%

The effect of a blockchain-supported, privacy-preserving system on disclosure of personal data

Frey

Bühler

Gerdes

et al. 2017

2017 IEEE 16th International Symposium on Network Computing and Applications (NCA)

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In light of digitalization, customers increasingly share private data through their online behaviors and actions. Yet, customers have become reluctant to share data due to privacy concerns. From a psychological perspective, a reduction of users' perceived risks should result in a higher willingness to share sensitive data. The development of blockchain-supported, multi-part computation thereby represents an interesting novel empirical context to study such willingness to disclose personal data, as such technologies involve a privacy-preserving approach that could not only technically solve privacy issues but also ought to address precisely the user's risk perception. Therefore, we conducted an online experiment with 420 participants to examine the willingness to disclose personal data dependent on different privacy protection mechanisms. A deception based experiment allowed to measure not only user intention, but also real user behavior. Surprisingly, our results demonstrate that participants shared similar amounts of personal data for blockchainsupported approaches and standard privacy policies. Even though an aversion to the blockchain system due to its novelty and potentially perceived complexity was not detected. Furthermore, we found that the willingness to share data increased significantly specifically for technically affine people when they were presented with the opportunity to monetize their data. We further discuss the effects of privacy awareness and whether prior knowledge of blockchain technology had a supporting effect for user acceptance.

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„Willingness to share“ im Kontext Big Data: Wie entscheiden Kunden, ob sie ihre persönlichen Daten mit Unternehmen teilen?

Cited by 6 publications

References 20 publications

Self-Assessment of Driving Style and the Willingness to Share Personal Information

Self-Assessment of Driving Style and the Willingness to Share Personal Information

On the (future) role of on-demand insurance: market landscape, business model and customer perception

The effect of a blockchain-supported, privacy-preserving system on disclosure of personal data

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