The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
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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“Privacy concerns also play significant role; if emails feel invasive, customer trust can drop and poor data practices can harm brand's reputation, making transparency in data usage essential for long-term success (Acquisti & Gross, 2006;Martin et al., 2017).”
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
Citations
Cites
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117
The need to belong: Desire for interpersonal attachments as a fundamental human motivation.
Baumeister, R. F., & Leary, M. R. (1995) · Psychological Bulletin · doi:10.1037//0033-2909.117.3.497 · Cited by 23,245
CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK*
Sharpe, W. F. (1964) · The Journal of Finance · doi:10.1111/j.1540-6261.1964.tb02865.x · Cited by 19,441
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Williams, K. D. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085641 · Cited by 1,828
Solove, D. J. (2006) · University of Pennsylvania Law Review · doi:10.2307/40041279 · Cited by 1,388
Smart Richman, L., & Leary, M. R. (2009) · Psychological Review · doi:10.1037/a0015250 · Cited by 942
The role of data privacy in marketing
Martin, K. D., & Murphy, P. E. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-016-0495-4 · Cited by 902 · cited 1×
“Nobody can articulate what it means ” (Solove 2006, p. 476; for a comprehensive review of privacy literature in marketing, see also Martin and Murphy [2016]).”
Self-citationBuilding Understanding of the Domain of Consumer Vulnerability
Baker, S. M., Gentry, J. W., & Rittenburg, T. L. (2005) · Journal of Macromarketing · doi:10.1177/0276146705280622 · Cited by 895
Intimate Exchanges: Using Computers to Elicit Self-Disclosure from Consumers
Moon, Y. (2000) · Journal of Consumer Research · doi:10.1086/209566 · Cited by 842
Flagged first, then by citations
Research works printed but not linked: 59
- Acquisti Alessandro, 2006, Proceedings of the 27th International Conference on Information Systems, 94
- 10.1509/jmr.09.0215 · DOI · Paper page
- 10.2307/25148715 · DOI · Paper page
- 10.1509/jmkg.2005.69.4.133 · DOI · Paper page
- 10.1037/0033-2909.117.3.497 · DOI · Paper page
- 10.1037/1089-2680.8.2.111 · DOI · Paper page
- 10.1111/j.1559-1816.2012.00956.x · DOI
- BiesdorfStefan, CourtDavid, and WillmottPaul (2013), “Big Data: What's Your Plan?” McKinsey Quarterly (March), http://www.mckinsey.com/business-functions/business-technology/our-insights/big-data-whats-your-plan.
- 10.1287/mksc.2013.0818 · DOI
- 10.1509/jmr.13.0009 · DOI
- 10.1016/j.jbankfin.2010.07.016 · DOI
- 10.1007/s10799-005-5879-y · DOI
- 10.1509/jm.10.0414 · DOI
- 10.1177/1096348004265027 · DOI
- 10.1016/j.clsr.2013.07.007 · DOI
- 10.1509/jmr.11.0136 · DOI
- 10.1037/1089-2680.8.2.100 · DOI
- 10.2307/2096270 · DOI
- Emler Nicholas, 1994, Good Gossip, 119
- 10.1016/S0304-405X(98)00026-9 · DOI
- 10.1037/a0026650 · DOI
- Fisher John A., 2013, William & Mary Business Law Review, 215, 217
- 10.1007/s11002-006-3796-4 · DOI
- 10.1007/s11747-007-0054-0 · DOI
- 10.1509/jm.12.0179 · DOI
- 10.1109/THS.2015.7225301 · DOI
- 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7 · DOI · Paper page
- Iyengar Sheena, 2010, The Art of Choosing
- 10.1086/656423 · DOI · Paper page
- Ko Myung, 2006, Journal of Information Technology Management, 17, 13
- 10.1509/jmr.13.0169 · DOI
- 10.1017/CBO9780511770548.003 · DOI
- 10.1007/s11747-006-0003-3 · DOI
- 10.1177/1094670510383409 · DOI
- 10.1287/isre.1040.0032 · DOI · Paper page
- McAfee Andrew, 2012, Harvard Business Review, 3
- 10.2307/257056 · DOI
- Mills Colleen, 2010, Group & Organization Management, 35, 371, 10.1177/1059601109360389 · DOI
- 10.1111/j.1745-6606.2004.tb00865.x · DOI
- 10.1016/j.jom.2011.01.002 · DOI
- 10.1177/1094670511424924 · DOI · Paper page
- 10.1509/jmkg.72.4.076 · DOI
- 10.1509/jmkg.70.4.136 · DOI · Paper page
- Ponemon Institute, 2015, 2015 Cost of Data Breach Study: Global Analysis
- 10.1509/jmr.09.0317 · DOI
- 10.1002/pam.20567 · DOI
- Scharf S., 2007, Internal Auditor, 64, 23
- 10.1108/ICS-03-2014-0020 · DOI
- 10.1509/jmkg.70.2.133 · DOI · Paper page
- 10.1509/jm.11.0316 · DOI · Paper page
- 10.1080/07421222.2015.1063315 · DOI
- Sharpe William F., 1964, Journal of Finance, 19, 425
- 10.1177/1088868314530515 · DOI
- 10.1177/002224299706100301 · DOI
- Solove Daniel J., 2003, Hastings Law Journal, 54, 1
- 10.1509/jmkg.75.3.49 · DOI
- 10.1509/jmkr.46.3.293 · DOI
- 10.1080/0363775032000133782 · DOI
- 10.1207/s15327663jcp1401&2_6 · DOI · Paper page
Cited by
Sorted by citations
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HİPER-KİŞİSELLEŞTİRME UYGULAMALARININ TÜKETİCİNİN ÇEVRİMİÇİ ETKİLEŞİME DEVAM ETME DAVRANIŞINA ETKİSİ
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Ullah, I., Hassan, N., Ahangar, T. A., Shah, Z., Mahdavi, M., & Levula, A. (2025) · arXiv.org · doi:10.48550/arxiv.2506.13170
“Other studies also examine online consumer information sharing, including [33], [34], [35], [36], and [37].”
A field experiment on response strategy in non-alternative environments: A moderated-mediation model
Nikkhah, H. (2025) · Information Manager (The) · doi:10.1016/j.im.2025.104134
Disentangling the market reaction to corporate data breach events: a configurational approach
Zhao, H., Rao, C.-Z., Yu, M., & Jian, L. (2025) · Data Technologies and Applications · doi:10.1108/dta-11-2023-0748
Pardiñan, E. G., Bondad, R. M., & Mangubat, J. C. (2024) · Education and Information Technologies : Official Journal of the IFIP technical committee on Education · doi:10.1007/s10639-024-13256-z
“The average mean of 2.51 with a highly accepted verbal description for the system’s security based on ISO/IEC 25010 criteria (see Table 2) validates the system’s capability to protect confidential data from unauthorized access (Martin et al., 2017).”
InfluentialThe Female Consumer Response Implications of Male Dominance in a Product's Online Community
Rathee, S., & Hoskins, J. D. (2024) · Journal of Interactive Marketing · doi:10.1177/10949968241283809
“Accounting for these various in fl uences is crucial in generating strong fi nal coef fi cient estimates (Dotzel and Shankar 2019; Martin, Boran, and Palmatier 2017).”
Eller, I. F. C., & dos Santos, G. V. (2024) · Revista de Gestão e Secretariado · doi:10.7769/gesec.v15i7.3894
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Hanneke, B., Baum, L., Schunck, C. H., & Hinz, O. (2024) · Datenschutz und Datensicherheit - DuD · doi:10.1007/s11623-023-1887-5
Du Tempo au Big Data : la symphonie du Marketing 6.0
Mayol, S. (2023) · Question(s) de management · doi:10.3917/qdm.227.0089
Keszey, T., Molnár, L., & Mursalzade, H. (2023) · Vezetéstudomány / Budapest Management Review · doi:10.14267/veztud.2023.12.02
“…fejlettség szintje, a standardizáció mértéke (Ruokonen et al., 2008), a vevők integráltságának mértéke (Cheng et al., 2023), a tudásmegosztás szokásos mértéke a vállalat öko - szisztémájában (Hullova et al., 2019), a vállalaton belüli adat-és információkezelési irányelvek (Martin 2017).”
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Data Privacy in Retail: A Bibliometric Analysis
Flores, A., & Dorneles, L. (2023) · Revista Interdisciplinar de Marketing · doi:10.4025/rimar.v13i2.66702
“One exception is the cluster composed by Inman & Nikolova (2017) and Martin, Borah, and Palmatier (2017).”
BackgroundUluğ, İ. N. P., & Sütçü, C. (2023) · Studia i Analizy Nauk o Polityce · doi:10.31743/sanp.16189
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Abashidze, I. (2023) · Baltic Journal of Economic Studies · doi:10.30525/2256-0742/2023-9-2-8-18 · Cited by 3
“As companies expand their efforts to collect and use customer data, customers are increasingly concerned about their privacy and the potential for harm (Martin et al., 2017, p. 37).”
BackgroundSathiaseelah, L., Suppiah, G., Khim, L. K., Inthiran, S., Inthiran, K., & Kanapathipillai, K. (2023) · European Journal of Management and Marketing Studies · doi:10.46827/ejmms.v8i2.1439
“Security refers to consumer concerns about the misuse of personal information, whereas privacy refers to consumer concerns that personal information may be compromised and shared with third parties (Martin & Murphy, 2017; Martin et al., 2017).”
BackgroundConsensus algorithms for Opt-in/Opt-out and proximity marketing context
Chahal, F., Fouchal, H., & Gaïti, D. (2023) · International Conference on Computing, Networking and Communications · doi:10.1109/icnc57223.2023.10074503
“As a result, opt-in and opt-out serve the principle of providing the user discretion over how their personal information is used [25], [26].”
BackgroundONLINE HEDONIC CONSUMERS’ PRIVACY AWATENESS AND PRIVACY PARADOX: A SYSTEMATIC LITERATURE REVIEW
Ullah, F. M. S., Kumar, S., & Furuoka, F. (2022) · Malaysian Journal of Business and Economics (MJBE) · doi:10.51200/mjbe.v9i2.4359
“Such vulnerable consumers are more prone to switching to any competitor should there be any feelings of violation or loss of trust in the business (Martin, Borah, & Palmatier, 2017).”
BackgroundA Bibliometric Study on Innovation and Firm Performance: Building a Research Framework
Stein, F. (2021) · American Journal of Management · doi:10.33423/ajm.v21i3.4359
The dynamics of data donation : privacy risk, mobility data, and the smart city
Pereira Campos, J. F. (2021) · St Andrews Research Repository (St Andrews Research Repository) · doi:10.17630/sta/110
Zeng, F., Ye, Q., Yang, Z.-L., Li, J., & Song, Y. (2020) · Journal of Business Ethics · doi:10.1007/s10551-020-04677-0
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Mingone, R. S., Silva, C. L., Marion, J., & dos Santos, N. M. (2020) · doi:10.21710/rch.v26i0.514
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Liu, Z.-G., & Li, X.-Y. (2019) · Proceedings of the International Conferences Big Data Analytics, Data Mining and Computational Intelligence 2019; and Theory and Practice in Modern Computing 2019 · doi:10.33965/bigdaci2019_201907l006
“Big data analysis can be applied to various industries and functions such as marketing, risk management, customer service, data sharing, information technology and human resource management (Martin et al., 2017).”
Information Systems Security: Challenges, Vulnerabilities and Tools
Cohard, P. (2019) · Augmented Customer Strategy · doi:10.1002/9781119618324.ch15
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N'goala, G. (2019) · Augmented Customer Strategy · doi:10.1002/9781119618324.ch1
Gomes, L. V., dos Santos, J. O., Silva, C. L., & Souza, M. D. C. E. (2018) · Revista Contemporânea de Contabilidade · doi:10.5007/2175-8069.2018v15n36p97 · Cited by 1
Survey on big data security in various applications-
Sethy, A., & Ray, A. (2018) · International journal of engineering and technology · doi:10.14419/ijet.v7i4.15882
“[41] used a conceptual framework based on gossip theory which are directly and indirectly links with customer vulnerability.”
MethodStock market reaction to data breaches: The moderating role of corporate social responsibility
Du, S.-L., Wang, J., & Gwebu, K. L. (2017) · 2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA) · doi:10.1109/cybersa.2017.8073393
“In general, this body of research documents a negative impact of data breach on stock returns (Garg et al., 2003, Goel and Shawky, 2009) and stakeholder behaviors (Martin et al., 2017).”
Zaki, K., Raslan, A., & Elnaggar, E. (2027) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2026.104928
Petrova, E., & Georgiev, I. (2026) · Journal of Digital Business and Management Studies · doi:10.68159/u811871760
An empirical study on psychological barriers for promoting individual number card adoption in Japan
Yamaguchi, S., Inoue, E., Oshima, H., Nakano, S., Katsumata, S., Ichikohji, T., & Ikuine, F. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.102152
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Balaban, M., & Alčaković, S. (2025) · Proceedings of the 12th International Scientific Conference - FINIZ 2025 · doi:10.15308/finiz-2025-158-165
Ortega, C., Molina, D., Perez, A., & Soto, V. (2025) · Journal of Digital Business and Management Studies · doi:10.68159/i549347816
Ionescu, M., Stan, E., & Popescu, A. (2025) · Journal of Digital Business and Management Studies · doi:10.68159/z681720985
Khalil, A., Fathy, S., Adel, M., Nabil, H., & Mostafa, R. (2025) · Journal of Digital Business and Management Studies · doi:10.68159/h561691048
Rahman, H., & Mahmood, T. (2025) · Journal of Digital Business and Management Studies · doi:10.68159/n475272253
Al-Harbi, R., Al-Qahtani, O., & Nasser, S. (2025) · Journal of Digital Business and Management Studies · doi:10.68159/o255962329
Yamaguchi, S., Inoue, E., Oshima, H., Nakano, S., Katsumata, S., Ichikoji, T., & Ikuine, F. (2024) · Social Science Research Network · doi:10.2139/ssrn.4822033
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Charlapavičiūtė, K. (2024) · Zbornik radova · doi:10.5937/imcsm24039c
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Xiang, S., & Yang, X. (2024) · Theoretical Economics Letters · doi:10.4236/tel.2024.146117
The FIDA Proposal: Striking a Balance between Data Protection and Financial InnovationPreprint
Dobrovinsky, A. (2024) · Social Science Research Network · doi:10.2139/ssrn.4985963
Review of Theories Applied in Artificial Intelligence Service
Zhang, H., Mai, S., Liu, Y., Zhu, T., & Huang, Z.-Y. (2023) · Journal of Artificial Intelligence Practice · doi:10.23977/jaip.2023.060306
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Dimova, N. (2022) · Sixth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture · doi:10.31410/itema.2022.113
“All these studies and ideas are supported by quantitative and qualitative methods (Martin et al, 2017).”
BackgroundInfluentialMarket-Oriented Digital Responsibility to Ensure Digital Security
Liyanaarachchi, G., & Deshpande, S. (2022) · The Palgrave Encyclopedia of Social Marketing · doi:10.1007/978-3-030-14449-4_5-1
Kebede, D. A., & Zewdie, S. (2021) · International Journal of Business and Economics Research · doi:10.11648/j.ijber.20211006.17
“Presently, promoting methodologies put incredible consideration in what their target needs, what kind of item and brand they will believe, and how their items will lead into higher commitment from the clients [54].”
Privatsphäre-Management im digitalen Zeitalter
Eisenbeiß, M. (2020) · Springer eBooks · doi:10.1007/978-3-658-31563-4_33 · Cited by 2
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Hadwich, K. (2020) · Springer eBooks · doi:10.1007/978-3-658-31563-4_9 · Cited by 5
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Roth, S., Priester, A., & Pütz, C. (2020) · Forum Dienstleistungsmanagement · doi:10.1007/978-3-658-30166-8_15 · Cited by 2
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Kießig, A., Lohmann, K., & Zanger, C. (2020) · Springer Reference Wirtschaft · doi:10.1007/978-3-658-17345-6_25-1
Hermosilla, G. S., Ciaian, P., & Kathage, J. (2019) · doi:10.2760/210466
Smith, S. S. (2019) · Blockchain, Artificial Intelligence and Financial Services · doi:10.1007/978-3-030-29761-9_9
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Palmatier, R., & Martin, K. D. (2019) · The Intelligent Marketer’s Guide to Data Privacy · doi:10.1007/978-3-030-03724-6_6
Self-citationInoculating Against Customer Vulnerability
Palmatier, R., & Martin, K. D. (2019) · The Intelligent Marketer’s Guide to Data Privacy · doi:10.1007/978-3-030-03724-6_5
Self-citationThe Future of Marketing Modeling
Pauwels, K. H., Leeflang, P. S. H., Bijmolt, T. H. A., & Wieringa, J. E. (2017) · International series in quantitative marketing · doi:10.1007/978-3-319-53469-5_20
Wang, W., Cai, S., & Chen, X. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.105093
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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