Customer Control Over Personal Data Scale

CCPDCustomer Control Over Personal Data
4 items 2017 α CR = .96; AVE = .87 Free Martin, K.D., Borah, A., & Palmatier, R.W.

What it measures

Measures a customer's perception of the extent to which they can manage a firm's use of their personal data. Adapted from Mothersbaugh et al. (2012). Alongside transparency, control is proposed — drawing on gossip theory — as a key suppressor of the negative emotional and cognitive consequences of data vulnerability.

Response format

7-point Likert (1 = strongly disagree, 7 = strongly agree)

Scale items

Full scale items shown. Always cite the original source when using this scale in research.

Usage notes & scoring

Adapted from Mothersbaugh, Foxx, Beatty, and Wang (2012). In Study 2 (event study), customer control was operationalised by coding the number of opt-out choices in the firm's privacy policy (0–5: marketing communication, data usage history, personal information storage, third-party sharing, tracking). Customer-level version uses this 4-item self-report scale.

Recommended companion scales

Customer Data Vulnerability Scale (Martin et al. 2017)Data Use Transparency Scale (Martin et al. 2017)

Citation

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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Keywords

#privacy#control#datamanagement#consumerbehavior#customervulnerability#autonomy
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