Data Management Fairness Scale

DMFSPerceived Fairness of Firm Data Management
4 items 2017 α CR = .97; AVE = .89 Free Martin, K.D., Borah, A., & Palmatier, R.W.

What it measures

New scale measuring a customer's perception that a firm's collection and use of their personal information is fair, equitable, and ethical. Developed and used as a control/moderator in post hoc analyses of Martin et al.'s Study 3. Fairness was found to moderate the effect of data vulnerability on cognitive trust (but not emotional violation), suggesting it operates through rational rather than affective pathways.

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

New scale (labelled as such in Appendix B of Martin et al. 2017). Post hoc analyses showed fairness (and value) moderated the vulnerability–trust relationship, suggesting rational appeals about the benefits of data sharing can buffer cognitive trust erosion, though they do not suppress emotional violation responses.

Recommended companion scales

Customer Data Vulnerability Scale (Martin et al. 2017)Cognitive Trust (Data Context) 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

#fairness#privacy#equity#ethics#datamanagement#consumerbehavior#trust
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