Behavioural Surveillance and Risk Segmentation: Insights from Telematics-Based Insurance Monitoring
Abstract
This article explores the influence of behavioural monitoring through telematics on individual risk classification within the insurance sector. By synthesizing empirical findings and theoretical constructs from behavioural economics, criminology, and information systems, we examine how continuous surveillance modifies driving behaviour, enhances risk assessment, and alters consumer and organizational incentives. Drawing upon extensive literature, we discuss the monitoring effect's implications on behaviour modification, moral hazard, and market efficiency. Evidence from in-vehicle monitoring systems, peer influences, and privacy concerns provides a holistic view of the evolving risk landscape in telematics-adopting insurance frameworks.
Keywords
Behavioural economics, criminology, information systemsHow to Cite
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Aral S, Brynjolfsson E, Wu L (2012) Three-way complementarities: Performance pay, human resource analytics, and information technology. Management Sci. 58(5):913–931.
Becker GS, Murphy KM (1988) A theory of rational addiction. J. Political Econom. 96(4):675–700.
Bell JL, Taylor MA, Chen G-X, Kirk RD, Leatherman ER (2017) Evaluation of an in-vehicle monitoring system (IVMS) to reduce risky driving behaviours in commercial drivers: Comparison of in-cab warning lights and supervisory coaching with videos of driving behaviour. J. Safety Res. 60:125–136.
Bernstein ES (2012) The transparency paradox: A role for privacy in organizational learning and operational control. Admin. Sci. Quart. 57(2):181–216.
Bouton ME (2014) Why behaviour change is difficult to sustain. Preventative Medicine 68:29–36.
Caplan JM, Kennedy LW, Petrossian G (2011) Police-monitored CCTV cameras in Newark, NJ: A quasi-experimental test of crime deterrence. J. Experiment. Criminology 7(3):255–274.
Chan TY, Chen Y, Pierce L, Snow D (2020) The influence of peers in worker misconduct: Evidence from restaurant theft. Manufacturing Service Oper. Management 23(4):952–973.
Chen YH, Jiang B (2019) Effects of monitoring technology on the insurance market. Production Oper. Management 28(8):1957–1971.
Choudhary V, Shunko M, Netessine S (2020) Does immediate feedback make you not try as hard? A study on automotive telematics. Manufacturing Service Oper. Management 23(4):835–853.
Curry S, Wagner EH, Grothaus LC (1990) Intrinsic and extrinsic motivation for smoking cessation. J. Consult Clinical Psych. 58(3):310–316.
Deci EL, Betley G, Kahle J, Abrams L, Porac J (1981) When trying to win: Competition and intrinsic motivation. Personality Soc. Psych. Bull. 7(1):79–83.
Frey B, Jegen R (2001) Motivation crowding theory. J. Econom. Surveys 15(5):589–611.
Gal-Or E, Gal-Or R, Penmetsa N (2018) The role of user privacy concerns in shaping competition among platforms. Inform. Systems Res. 29(3):698–722.
Ghose A, Goldfarb A, Han SP (2013) How is the mobile internet different? Search costs and local activities. Inform. Systems Res. 24(3):614–631.
Ghose A, Li B, Liu S (2019) Mobile targeting using customer trajectory patterns. Management Sci. 65(11):5027–5049.
Gneezy U, Meier S, Rey-Biel P (2011) When and Why incentives (don’t) work to modify behaviour. J. Econom. Perspective 25(4):191–210.
Grolleau G, Kocher MG, Sutan A (2016) Cheating and loss aversion: Do people cheat more to avoid a loss? Management Sci. 62(12):3428–3438.
Guillen M, Pérez-Marín AM, Alcañiz M (2021) Percentile charts for speeding based on telematics information. Accident Anal. Prevention 150:105865.
Copyright (c) 2025 Eleanor T. Marshall (Author)
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