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Data Privacy: Effects on Customer and Firm Performance
Abstract
Although marketers increasingly rely on customer data, firms have little insight into the ramifications of such data use and do not know how to prevent negative effects. Data management efforts may heighten customers’ vulnerability worries or create real vulnerability. Using a conceptual framework grounded in gossip theory, the authors link customer vulnerability to negative performance effects. Three studies show that transparency and control in firms’ data management practices can suppress the negative effects of customer data vulnerability. Experimental manipulations reveal that mere access to personal data inflates feelings of violation and reduces trust. An event study of data security breaches affecting 414 public companies also confirms negative effects, as well as spillover vulnerabilities from rival firms’ breaches, on firm performance. Severity of the breach hurts the focal firm but helps the rival firm, which provides some insight into mixed findings in prior research. Finally, a field study with actual customers of 15 companies across three industries demonstrates consistent effects across four types of customer data vulnerability and confirms that violation and trust mediate the effects of data vulnerabilities on outcomes.
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From Feeling Watched: A Phenomenological Exploration of Consumer Discomfort and Data Privacy Concerns in E-Commerce Personalized Email Marketing (2025) · cites this paper as Martin et al., 2017
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Horppu, J. (2023) · Marketing Theory · doi:10.1177/14705931231175698 · Cited by 17
“The way in which consumers come to understand and experience privacy is not just affected by the companies ’ privacy practices (Martin et al., 2017) or the trust and relationship between consumers and brands (Fortes et al., 2017; Hayes et al., 2021), neither is it based solely on individual factors…”
BackgroundTran, D., & Huh, J.-H. (2023) · Journal of Supercomputing · doi:10.1007/s11227-023-05105-6 · Cited by 10
“Important bank account information can be leaked and make it easier for online assets to be appropriated as well as for online fraud, and many other consequences from violating data privacy [10] [11].”
BackgroundInsurance Inclusion in Uganda: Impact of Perceived Value, Insurance Literacy and Perceived Trust
Kiwanuka, A., & Sibindi, A. B. (2023) · Journal of risk and financial management · doi:10.3390/jrfm16020081 · Cited by 18
Alshawabkeh, A., Kadir, M. R. B. A., Nori, W. M. N. W. M., & Hassan, H. (2022) · Wseas Transactions on Business and Economics · doi:10.37394/23207.2022.19.101 · Cited by 10
Information disclosing willingness in mobile internet contexts
Gao, M., Liu, M. T., & Chu, R. (2022) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-08-2021-0576 · Cited by 15
An Empirical Analysis of Insurer Participation in the U.S. Cyber Insurance Market
Cole, C. R., & Fier, S. G. (2020) · North American Actuarial Journal · doi:10.1080/10920277.2020.1733615 · Cited by 10
“Research suggest that stock insurers are afforded a greater degree of managerial discretion than that provided to mutual insurers (Mayers and Smith 1981) and this managerial discretion may allow stock insurers to participate in the cyber market.”
BackgroundSocial media privacy concerns and risk beliefs
Yerby, J., Koohang, A. A., & Paliszkiewicz, J. O. (2019) · Online Journal of Applied Knowledge Management · doi:10.36965/ojakm.2019.7(1)1-13 · Cited by 14
Ahmad, N., Sehar, U., Zhou, J., Peng, Y., & Zhang, C. (2026) · IEEE Access · doi:10.1109/access.2026.3682720 · Cited by 9
“Privacy violations may undermine trust and result in long-term financial impact, according to research looking at the connection between data privacy policies, consumer behavior, and business performance [18].”
Conclusion: Informing Customer Engagement Marketing and Future Research
Harmeling, C. M., Moffett, J. W., & Palmatier, R. (2018) · Springer eBooks · doi:10.1007/978-3-319-61985-9_14 · Cited by 10
Self-citationThe Phenomenon of Creepiness in a Digital Marketing World
Petrova, A., Malär, L., Hoyer, W. D., & Krohmer, H. (2025) · Psychology & Marketing · doi:10.1002/mar.70089 · Cited by 9
“Prior work shows that transparency reduces negative responses (Bleier et al. 2020; Martin et al. 2017), while both approaches draw on trust and persuasion knowledge (Eisend and Tarrahi 2022; Friestad and Wright 1994), suggesting they may mitigate perceived manipulation.”
The economics of cyber risk: a survey of the literature
Abrardi, L., Comino, S., & Grassini, S. (2025) · Journal of Industrial and Business Economics · doi:10.1007/s40812-025-00370-3 · Cited by 15
“Using the D&B Hoover’s database, Martin et al. ( 2017) match breached firms with their closest publicly listed competitors and show that less severe incidents tend to generate negative spillovers.”
Trust as the catalyst: Transforming perceived to created value in blockchain traceability
Pan, L., & Hong, X. (2025) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2025.101487 · Cited by 10
Li, J., Chen, T., Li, S., & Hu, B. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2436736 · Cited by 11
“The more users believe that their personal information will be treated transparently, the more willingly they will allow platforms to gather it (Martin et al., 2017; Shin & Park, 2019).”
Simon, F. L., & Schweitzer, V. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122738 · Cited by 9
Plangger, K. A., Marder, B. L., Montecchi, M., Watson, R. T., & PITT, L. F. (2023) · Psychology and Marketing · doi:10.1002/mar.21866 · Cited by 20
“However, developing enhanced surveillance capabilities risks damaging relationships with customers by violating their privacy (Martin et al., 2017; Maseeh et al., 2021; Plangger & Montecchi, 2020; Okazaki et al., 2020).”
BackgroundLuo, Y., Zhou, L., Huang, J., Wang, X.-X., Sun, R., & Zhu, G.-W. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103372 · Cited by 9
Effects of advertising and R&D on spillovers from a rival’s bankruptcy
Jindal, N., & Slotegraaf, R. J. (2023) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-023-00931-9 · Cited by 9
“Indeed, marketing research reveals spillovers after a firm experiences a data breach (Martin et al., 2017) or product recall (Borah & Tellis, 2016; Cleeren et al., 2013; van Heerde et al., 2007) and finance research reveals spillovers after a firm files for bankruptcy (Helwege & Zhang, 2016; Jorion…”
A Call for Research at the Public Policy–Marketing Strategy Interface
Chisam, N., Germann, F., & Palmatier, R. (2022) · Journal of Public Policy & Marketing · doi:10.1177/07439156221092413 · Cited by 9
“At the same time, customers are concerned about how firms use their information (Martin et al. 2020). Wieringa et al. (2021) argue that firms could use techniques, such as providing customers control of data storage, to conduct analytics while protecting customer privacy. However, Lis and Wurmser (2021) report that cu…”
BackgroundInfluentialSelf-citationWang, Q.-T., Li, J. J., & Yang, D.-F. (2022) · Journal of business research · doi:10.1016/j.jbusres.2022.02.033 · Cited by 9
The Impact of Digital Innovations on Marketing and Consumers
Ratchford, B. T. (2019) · Emerald Group Publishing Limited eBooks · doi:10.1108/s1548-643520190000016005 · Cited by 22
Cyberattacks on Small Banks and the Impact on Local Banking Markets
Gogolin, F., Lim, I., & Vallascas, F. (2026) · Social Science Research Network · doi:10.2139/ssrn.3823296 · Cited by 8
Smart Kitchens of the Future: Technology’s Role in Food Safety, Hygiene, and Culinary Innovation
Anumudu, C. K., Augustine, J. A., Uhegwu, C. C., Nzube, U. J., Ugwoegbu, M. O., Shodeko, O. R., & Onyeaka, H. N. (2025) · Standards · doi:10.3390/standards5030021 · Cited by 11
“Ethical issues may arise when personal data collection such as worker activities or customer purchase patterns happens without consent or proper protection [160].”
Generative AI-Destination Marketing: Do Privacy Concerns and Justification Matter?
Yhee, Y., Kim, J. Y., Kim, J., & Koo, C. (2025) · Journal of Travel Research · doi:10.1177/00472875251349235 · Cited by 8
“These results underscore the importance of addressing privacy effectively to maintain the efficacy of AI recommendations (Martin et al., 2017).”
Yoganathan, V., Osburg, V.-S., & Janakiraman, N. (2025) · Journal of services research · doi:10.1177/10946705251345097 · Cited by 8
“Also, privacy literature suggests that the direct effects of a firm’s signals related to data protection on customers can often be contradictory—for example, the mere presence of a data protection signal can heighten privacy concerns in customers (Brough et al. 2022; Martin et al. 2017).”
Metadata
- Authors
- Martin, K. D., Borah, A., & Palmatier, R. W.
- Affiliations
- Colorado State University (US)
- University of Washington (US)
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2017-01
- Volume
- 81
- Issue
- 1
- Pages
- 36-58
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2495772237
- Cited by
- 786
- References
- 0
- Citations by year
- 2026: 123 · 2025: 132 · 2024: 92 · 2023: 99 · 2022: 97 · 2021: 67 · 2020: 82 · 2019: 54 · 2018: 26 · 2017: 13
- FWCI
- 89.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Marketing (publishedVersion)
- Griffith Research Online (submittedVersion)
- Funders
- Colorado State University
- Marketing Science Institute
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- data privacy, data management practices, consumer trust, data breaches, firm performance, customer performance, transparency, data control, spillover effects, rival firms
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