Measures the degree to which a consumer perceives tangible benefits from allowing a company to collect and use their personal data. Captures multiple benefit types including financial savings, service customisation value, and time savings. Conceptually inspired by Chellappa and Sin's (2005) personalisation–privacy trade-off framework. Validated in an MTurk experiment focused on data privacy perceptions, with construct reliability of .94 and AVE of .80. Relevant to research on privacy calculus, data monetisation, and consumer consent.
Martin, K.D., Borah, A., & Palmatier, R.W. (2017). Data privacy: Effects on customer and firm performance. Journal of Marketing, 81(1), 36–58.
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