Cited by 786Privacy, Security, and Data ProtectionCustomer Service Quality and LoyaltyInformation and Cyber Security

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

Martin, Kelly D., Borah, Abhishek, Palmatier, Robert W.·2017·Journal of Marketing

Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.1509/jm.15.0497

Cites

0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
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
Ostracism
Williams, K. D. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085641 · Cited by 1,828
A Taxonomy of Privacy
Solove, D. J. (2006) · University of Pennsylvania Law Review · doi:10.2307/40041279 · Cited by 1,388
Reactions to discrimination, stigmatization, ostracism, and other forms of interpersonal rejection: A multimotive model
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-citation
Building 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

Show all 0 references

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

Sorted by citations

Items 301–400 of 656

Blockchain applications and corporate green development: evidence from China
Fang, X. (2025) · Environment, Development and Sustainability · doi:10.1007/s10668-025-06097-4 · Cited by 8
AI, How Much Shall I Tell You? Exchange and Communal Consumer–AI Relationships and the Willingness to Disclose Personal Information
Pelău, C., Barbul, M., Bojescu, I., & Niculescu, M. (2025) · Behavioral Sciences · doi:10.3390/bs15030386 · Cited by 6
“Self-disclosing behavior is an important factor for the optimal functioning of AI and other intelligent systems (Martin et al., 2017; Song & Kim, 2021; Tran et al., 2022).”
Is Cybersecurity a Social Responsibility?
Khan, W. N., Lee, J. K., & Liu, S. (2025) · Information Systems Frontiers · doi:10.1007/s10796-024-10565-z · Cited by 9
Served or Exploited: The Impact of Data Capture Strategy on Users' Intention to Use Selected AI Systems
Liu, X.-G., & Shi, Z. (2025) · Journal of Consumer Behaviour · doi:10.1002/cb.2428 · Cited by 8
Willingness to disclose information in mobile banking apps: how to tackle privacy concerns?
Luo, D., Ni, X., Aw, E. C.-X., & Tan, G. (2024) · International Journal of Bank Marketing · doi:10.1108/ijbm-01-2024-0001 · Cited by 8
The Race for Data: Utilizing Informative or Persuasive Cues to Gain Opt-In?
D’Assergio, C., Manchanda, P., Montaguti, E., & Valentini, S. (2024) · Journal of Marketing · doi:10.1177/00222429241288456 · Cited by 15
“Similarly, Martin, Borah, and Palmatier (2017) show that offering customers control can mitigate privacy concerns, especially during data breaches, potentially improving returns.”
Personal data security and stock crash risk: Evidence from China’s Cybersecurity Law
Song, Z. (2024) · China Journal of Accounting Research · doi:10.1016/j.cjar.2024.100393 · Cited by 8
Spillover effects of data breach on consumer perceptions: evidence from the E-commerce industry
Park, J., Shin, W., Kim, B., & Kim, M. (2024) · Internet Research · doi:10.1108/intr-11-2022-0898 · Cited by 8
Evaluating customer orientation in e-commerce: an organization focused technology assessment
Zarrin, S., Daim, T. U., Gillpatrick, T., Bolatan, G. İ. S., & Sharma, M. (2024) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2024.2322032 · Cited by 10
Freedom from interference: Decisional privacy as a dimension of consumer privacy online
Bjørlo, L. V. (2024) · AMS Review · doi:10.1007/s13162-024-00273-x · Cited by 14
“These “non-explicit definitions” were also considered essential due to the recognized difficulty of defining privacy (Bleier et al., 2020; Martin & Murphy, 2017; Martin et al., 2017; Peltier et al. 2009).”
Towards Developing an Understanding of Consumers'Perceived Privacy Violations in Online Advertising
Jerath, K., Miller, K. M., & Sokol, D. (2024) · doi:10.48550/arxiv.2403.03612 · Cited by 8
“Given such practices, consumer privacy concerns arise (Goldfarb and Tucker 2012; Martin et al. 2017).”
Being Emotionally Supportive: Exploring the Value of Emotional Appeals Retargeting in Recovering Consumers of Financial Services
Lu, T., Lu, X., Yang, H., & Zhang, P. (2024) · Production and Operations Management · doi:10.1177/10591478231224925 · Cited by 8
“These informative appeals included highlighting legal limits on data practice (Wu et al., 2012), instructing protective measures (Adjerid et al., 2018), and elucidating ways of improving transparency (Gu et al., 2017; Martin et al., 2017).”
Background
Consumers’ multistage data control in technology-mediated environments
Zimmermann, J., Martin, K. D., Schumann, J. H., & Widjaja, T. (2023) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2023.09.004 · Cited by 15
Self-citation
Managing Privacy in B2B Marketing: A Systematic Literature Review
Hill, S. R., & de Zubielqui, G. C. (2022) · Journal of Computational Information Systems · doi:10.1080/08874417.2022.2087792 · Cited by 8
Service security breaches: the impact of comparative optimism
Zhang, L., Wei, W., & Hua, N. (2020) · Service Industries Journal · doi:10.1080/02642069.2020.1861251 · Cited by 8
“tomers of the focal organization tend to feel vulnerable when data breach incidents occur to its rivals in the same industry (Martin et al., 2017).”
Background
Human-Centric Marketing in the Digital Era
Agafonova, A. N., Yakhneeva, I., & Mukhametshina, G. R. (2020) · Economic Systems in the New Era: Stable Systems in an Unstable World · doi:10.1007/978-3-030-60929-0_2 · Cited by 8
“The digitalization of business can form the backbone for the development of socially biased algorithms that lead to discrimination against consumers [12].”
Background
La transparence numérique : dimensions, antécédents et conséquences sur la qualité des relations clients
Portes, A., N’Goala, G., & Cases, A.-S. (2020) · Recherche et Applications en Marketing (French Edition) · doi:10.1177/0767370120935734 · Cited by 12
“Selon Martin et al. (2017), la transparence seule est dangereuse et peut susciter la défiance si elle n’est pas accompagnée de contrôle par les parties prenantes.”
BackgroundInfluential
Exploring Identity-Based Crime Victimizations: Assessing Threats and Victim Services among a Sample of Professionals
Green, B., Gies, S. V., Bobnis, A., Leeper-Piquero, N., Piquero, A., & Velasquez, E. (2020) · Deviant Behavior · doi:10.1080/01639625.2020.1720938 · Cited by 8
Blockchain Technologies for Private Data Management in AmI Environments
Robles, T., Bordel, B., Alcarria, R., & Sánchez-de-Rivera, D. (2018) · International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI) · doi:10.3390/proceedings2191230 · Cited by 10
“Organizations collect large amounts of personal and sensitive data [5].”
Background
A dual-theory examination of price guarantee advertising believability and its impact on consumer trust, satisfaction, and repurchase in retail
Hoo, K. K., Wooliscroft, B., & Phillips, M. (2026) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2025.104557 · Cited by 7
Consumer vulnerability within digital platforms as service ecosystems
Lee, K., Bart, Y., & Cauffman, C. (2025) · Journal of Services Marketing · doi:10.1108/jsm-03-2025-0179 · Cited by 9
The Effect of Cybersecurity Breaches on Analysts’ Earnings Forecasts
Chen, C.-Y., Goh, B.-W., Lee, J., & Li, N. (2025) · Social Science Research Network · doi:10.1080/09638180.2025.2476760 · Cited by 7
“The Effect of Cybersecurity Breaches on Analysts’ Earnings Forecasts 267 Shawky, 2009; Kamiya et al., 2021; Malhotra & Malhotra, 2011; Martin et al., 2017; Schatz & Bashroush, 2016).”
Neuroimaging insights into breaches of consumer privacy: Unveiling implicit brain mechanisms
Tan, W., & Lee, E. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114815 · Cited by 6
A bibliometric and content analysis of marketing-finance interface research from 1986–2021
Liao, Q., Yang, L., & Lim, E. J. (2023) · Journal of Business & Finance Librarianship · doi:10.1080/08963568.2023.2263984 · Cited by 6
“Current studies in the M-F interface focus on the economics of privacy, such as privacy failure (Kashmiri et al., 2017; Rasoulian et al., 2017) or privacy as a corporate strategy for competitive advantage (Martin et al., 2017).”
BackgroundMethod
The contribution of self‐disclosure to promotional response: Examining the roles of deservingness and social class
Wang, J., Han, B., & Liu, Y. (2022) · Psychology and Marketing · doi:10.1002/mar.21769 · Cited by 6
Who is responsible for customers’ privacy? Effects of first versus third party handling of privacy contracts on continuance intentions
Bayerl, P., & Jacobs, G. (2022) · Technological forecasting & social change · doi:10.1016/j.techfore.2022.122039 · Cited by 7
How Can Companies Recover from Liability-Invoking Failures? Exploring the Role of Uncertainty Avoidance in Facilitating Consumer Compliance Across National Cultures
Astvansh, V., Duffek, B., & Eisingerich, A. (2022) · Journal of International Marketing · doi:10.1177/1069031x221128787 · Cited by 7
“A company’s liability-invoking failure evokes a negative response from its consumers (Astvansh 2018; Martin, Borah, and Palmatier 2017).”
The Relevance of Corporate Information Transparency of the Use and Handling of Customer Data in Online Product Presentations
Röding, T., Steinmann, S., Schmitz, J., & Schramm‐Klein, H. (2022) · The International Review of Retail Distribution and Consumer Research · doi:10.1080/09593969.2022.2090993 · Cited by 9
“…basic knowledge of this data flow is provided to many customers, the open presentation and communication of data do not automatically lead to an improvement of the perception of and response to these products or applications (John, Acquisti, and Loewenstein 2011; Martin, Borah, and Palmatier 2017).”
BackgroundResult
Impact of Unmet Privacy Expectations Across Information, Time, and Space: Evidence from Four Countries
Swani, K., & Milne, G. R. (2022) · Journal of Interactive Marketing · doi:10.1177/10949968221087265 · Cited by 9
“Likewise, a loss of privacy or privacy violation can reduce trust among consumers (Martin, Borah, and Palmatier 2017).”
BackgroundMethodInfluential
When Big Data Backfires: The Impact of a Perceived Privacy Breach by Pharmaceutical E-Retailers on Customer Boycott Intention in China
Liu, R., Yang, J.-W., & Wu, J.-F. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19084831 · Cited by 7
“[45] has shown that emotional violation mediates the influence of customer data vulnerability on customer behavior.”
BackgroundInfluential
Responsible Data Governance in Projects: Applying a Responsible Research and Innovation (RRI) Framework
Jiya, T. (2021) · Journal of Technology Management & Innovation · doi:10.4067/s0718-27242021000100031 · Cited by 7
“Other concerns relate to the implications of using data that is corrupted or collected in such a way that it can be seen as ‘wrong’(Martin, Borah, and Palmatier, 2017).”
Background
Error management in service security breaches
Wei, W., Zhang, L., & Hua, N. (2019) · Journal of Services Marketing · doi:10.1108/jsm-04-2018-0114 · Cited by 10
Differential privacy data publishing in the big data platform of precise poverty alleviation
Gao, S.-W., & Zhou, C.-C. (2019) · Soft Computing - A Fusion of Foundations, Methodologies and Applications · doi:10.1007/s00500-019-04352-1 · Cited by 7
From efficiency to immersion: understanding generational differences in avatar interactions
Pawar, S. S., & Mishra, A. A. (2025) · Computers in Human Behavior · doi:10.1016/j.chb.2025.108732 · Cited by 7
Better Angry Than Afraid: The Case of Post Data Breach Emotions on Customer Engagement
Angelis, J. N., Murthy, R. S., Beaulieu, T. Y., & Miller, J. C. (2022) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2022.3189599 · Cited by 10
“Data breaches undoubtedly elicit vulnerability in some customers [51], which may lead to fear.”
Background
Customer Data Privacy Stewardship
Moffett, J. W., Chisam, N., Martin, K. D., & Palmatier, R. (2025) · Journal of Marketing · doi:10.1177/00222429251367342 · Cited by 6
“Firm data breach history: number of prior data breaches for the ﬁ rm (U.S. Department of Health & Human Services Breach Portal; Privacy Rights Clearinghouse; Martin, Borah, and Palmatier 2017).”
InfluentialSelf-citation
An investigation into personal data sensitivity in the Internet of Everything—insights from China
Wei-dong, L., Qin, Y., Chen, C., & Wang, M. (2025) · Humanities and Social Sciences Communications · doi:10.1057/s41599-025-04580-x · Cited by 8
“The perceived privacy risk mainly derives from individuals ’ anxiety regarding potential harm and feelings of being offended rather than real data abuse or economic and reputational losses (Martin et al. 2017).”
Boundary-breaking opportunities in service failure and recovery
Mirza, J., Grégoire, Y., Ranaweera, C., & Nguyen, C. M. (2025) · Journal of service management · doi:10.1108/josm-12-2023-0533 · Cited by 8
Breached But Not Broken: How Attributional Information Shapes Shareholder Reactions to Firms Following Data Breaches
Wang, X.-R., Yan, J., Munyon, T., & Crook, T. R. (2024) · Corporate Reputation Review · doi:10.1057/s41299-024-00179-1 · Cited by 6
“…shareholders affected, social scope (e.g., the level of societal influence), geographic scope (e.g., national or regional influence), direct financial loss, loss of critical information (e.g., social security numbers), and legal ramification (e.g., whether lawsuits followed) (Martin et al. 2017).”
Consumer vulnerability: understanding transparency and control in the online environment
Waseem, D., Chen, S., Xia, Z., Rana, N. P., Potdar, B., & Tran, K. T. (2024) · Internet Research · doi:10.1108/intr-01-2023-0056 · Cited by 6
Functional or financial remedies? The effectiveness of recovery strategies after a data breach
Guo, Y., Wang, C., & Chen, X. (2023) · Journal of Enterprise Information Management · doi:10.1108/jeim-10-2022-0372 · Cited by 8
Calling on the Third-party Privacy Control into Algorithmic Governance Framework: Linking Users’ Presumed Influence with Control Agency Theory
Huang, Y., & Cao, X. (2023) · International Journal of Public Opinion Research · doi:10.1093/ijpor/edad036 · Cited by 5
Data breaches (hacking) and trade credit
Singh, A. (2023) · Global Finance Journal · doi:10.1016/j.gfj.2023.100858 · Cited by 6
Understanding Coping Intentions of Fitness Tracker Users: An Empirical Investigation Using Fear Appeals
Baskaran, K., & Mathew, S. K. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2124358 · Cited by 6
“Marketing literature has captured reactions of consumers, in the event of a data breach, ranging from losing their trust (Malhotra & Kubowicz Malhotra, 2011), anxiety (Martin et al., 2017) and perceptions of harm or data vulnerability (Romanosky et al., 2011).”
Background
The Impact of Data Vulnerability in Online Health Communities: An Institutional Assurance Perspective
Gao, W., Wang, H., & Jiang, N. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.908309 · Cited by 6
“However, limited research has focused on the effects of data vulnerability, which refers to individuals’ feelings of susceptibility to harm due to an organization’s possession of their personal data (Martin et al., 2017).”
BackgroundMethodResultInfluential
Risiko Keamanan Data Pribadi Pelanggan Dalam Penggunaan Big Data
Prayoga, D., Hayati, F., Putra, H., Rizki, I., & Fitroh, F. (2022) · Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) · doi:10.32672/jnkti.v5i3.4381 · Cited by 6
“1 Pentingnya Keamanan Data Pribadi Pelanggan Data pengguna adalah sesuatu yang sangat dapat dijadikan alat untuk meningkatkan kualitas produk oleh pengembang, karena dengan begitu, pengembang akan mampu mengenali pembeli dan dapat meningkatkan keunggulan dalam perebutan pasar [5].”
Background
Validating The Framework of The Accounting Information Systems Components and Firm Performance: A Conceptual Study
Shawabkah, A. M., Kadir, M. R. B. A., Nori, W. M., & Hassan, H. (2022) · Wseas Transactions on Business and Economics · doi:10.37394/23207.2022.19.86 · Cited by 6
Towards the „new normal” after COVID-19 – a post-transition economy perspective
Mińska‐Struzik, E. (2021) · doi:10.18559/978-83-8211-061-6 · Cited by 6
Big data management: Security and privacy concerns
Atoum, I. A., & Keshta, I. (2021) · International Journal of Advances in Applied Sciences · doi:10.21833/ijaas.2021.05.009 · Cited by 6
“However, as Martin et al. (2017) viewed it, Big Data has challenges with privacy and security that affect data management by organizations as well as consumer willingness to provide data in exchange for free services.”
Background
Personality and Employees’ Information Security Behavior among Generational Cohorts
Warrington, C., Syed, J., & Tappin, R. M. (2021) · Computer and Information Science · doi:10.5539/cis.v14n1p44 · Cited by 6
“For firms, as well as their customers, consequences of data breaches can be disastrous and can affect firm performance and customer confidence negatively (Martin et al., 2017; van Bavel et al., 2019).”
Background
Benefits of Convoy Model Theory for Explaining and Controlling Business-to-Customer Relationships
Saath, M., Schönitz, M.-S., Siems, F., & Papen, M.-C. (2018) · Journal of Relationship Marketing · doi:10.1080/15332667.2018.1534061 · Cited by 6
Trust-First Personalization in Fashion E-Commerce: An Association-Based Model Linking Perceived Personalization, Surveillance, Privacy-Violation, and Purchase Intention
Magano, J., & Rebelo, S. (2026) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer21050139 · Cited by 6
“Transparency (TR) denotes the clarity with which brands disclose what data they collect, how they process it, and for what purposes [14,26].”
Granular Control and Privacy Decisions: Evidence from Apple’s App Tracking Transparency (ATT)Preprint
Kraft, L., Bleier, A., Skiera, B., & Koschella, T. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4598472 · Cited by 6
Managing Change Related to Consumer Privacy Laws: Targeting and Personal Data Use in a More Regulated Environment
Mueller, S., Taylor, C., & Mueller, B. (2022) · Media and Change Management · doi:10.1007/978-3-030-86680-8_15 · Cited by 6
Respecting the Individuals of Data Economy Ecosystems
Rantanen, M. M., & Koskinen, J. S. S. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-57847-3_13 · Cited by 12
Understanding and Valuing Customer Data
Palmatier, R. W., & Martin, K. D. (2019) · Springer eBooks · doi:10.1007/978-3-030-03724-6_7 · Cited by 11
Self-citation
A Review of Research on Data Security Risk: Consequences, Mechanisms, and Response
Luo, Y., Chen, S., & Zhang, P. (2026) · Journal of Economic Surveys · doi:10.1111/joes.70088 · Cited by 5
Privacy violation and diverse choice: How privacy violation shapes subsequent consumers’ variety-seeking behaviors?
He, X., Xia, Q., & Feng, W. (2025) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2025.104397 · Cited by 6
What Are the Unique Features of Digital Advertising? The Six Principles of Digital Advertising in the 21 st Century
Taylor, C. R., & Kim, E. A. (2025) · Journal of Interactive Advertising · doi:10.1080/15252019.2025.2556813 · Cited by 5
“Similarly, Martin, Borah, and Palmatier (2017) found that the data management efforts by firms can lead consumers to worry or face real vulnerability.”
Can we protect time series data while maintaining accurate forecasts?
Bale, C. D., Schneider, M. J., & Lee, J. (2025) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2025.01.001 · Cited by 5
Data vulnerability: does privacy protection behaviour improve digital well-being?
Quach, S., Dang, S., Thaichon, P., Le, D., & Le, T. H. (2025) · European Journal of Marketing · doi:10.1108/ejm-12-2022-0953 · Cited by 10
Natural Language Processing Algorithms to Improve Digital Marketing Data Quality and Its Ethical Implications
Pons, S., Huertas-García, R., Lengler, J., & Nascimento, D. L. D. M. (2025) · Psychology and Marketing · doi:10.1002/mar.22211 · Cited by 6
“…growing concern over privacy is worrisome for the industry due to its potential consequences, such as consumers' reduced willingness to share personal information on digital platforms, the declining effectiveness of personalization strategies, and increased regulatory scrutiny (Martin et al. 2017).”
Sustainable Marketing Strategies for SMEs: The Impact of Customer Engagement on Business Growth in the Context of Environmental Sustainability
Sudi, D. M. (2024) · Journal of Contemporary Administration and Management (ADMAN) · doi:10.61100/adman.v2i1.216 · Cited by 4
“Improper use of technology can lead to privacy violations and loss of customer trust, which can ultimately affect business performance and brand reputation [21].”
Physical and Digital Privacy: How Developed and Developing Countries Differ in Both Vulnerability and Protection
Brough, A., Kamleitner, B., & Martin, K. D. (2023) · Journal of International Marketing · doi:10.1177/1069031x231201362 · Cited by 5
“Awareness of vulnerability can prompt people to act to safe-guard their privacy (Martin, Borah, and Palmatier 2017).”
BackgroundSelf-citation
The benefits of meeting buyer privacy expectations across information, time, and space dimensions
Swani, K., Milne, G. R., & Brown, B. P. (2023) · Industrial Marketing Management · doi:10.1016/j.indmarman.2023.04.013 · Cited by 5
Adverse Effects of Data Breach on Public Companies: A Study Based on Interpersonal Gossip Theory
Fang, X., Yang, Z., Zhang, Y., & Guo, C. (2023) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2023.2210721 · Cited by 8
“And it rarely involves the establishment of information disclosure system in advance (Martin, Borah, and Palmatier 2017), and studies the diffusion mechanism and suppression measures of the negative effects of information disclosure from the perspective of improving enterprise transparency and…”
BackgroundMethodInfluential
Disrupting the Organizational Frontlines
Arnold, T., & Marinova, D. (2023) · Journal of services research · doi:10.1177/10946705231175286 · Cited by 5
“Martin, Borah, and Palmatier (2017) identify transparency as a key mechanism in managing data privacy challenges.”
Background
Does personal data protection matter for ISO 9001 certification and firm performance?
Siougle, E., Dimelis, S., & Malevris, N. (2023) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-07-2022-0345 · Cited by 5
Motive perception pathways to the release of personal information to healthcare organizations
Soellner, M., & Koenigstorfer, J. (2022) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-022-01986-4 · Cited by 6
“We measured the construct on a three-item, seven-point rating scale (1 = strongly disagree, 7 = strongly agree), adopted from previous research [72] and adapted to the study’s context (Additional file 1).”
BackgroundMethod
Analyzing spillover effects from data breaches to the US (cyber) insurance industry
Eckert, C., Gatzert, N., & Schubert, M. (2022) · European Journal of Finance · doi:10.1080/1351847x.2022.2090267 · Cited by 5
“…et al. 2012), retailers (see Kashmiri, Nicol, and Hsu 2017) or competitors in various industry sectors (see, e.g. Zafar, Ko, and Osei-Bryson 2012; Martin, Borah, and Palmatier 2017; Kamiya et al. 2021), most often based on event study methodology using buy-and-hold or cumulative abnormal returns.”
Background
Antecedent factors of violation of information security rules
Cappellozza, A., de Moraes, G. H. S. M., Perez, G., & Simões, A. L. (2021) · RAUSP Management Journal · doi:10.1108/rausp-02-2021-0022 · Cited by 6
A preliminary investigation of gamification from the young consumer’s perspective
Hass, D., Hass, A., & Joseph, M. (2021) · Young Consumers Insight and Ideas for Responsible Marketers · doi:10.1108/yc-10-2020-1221 · Cited by 10
Exploring the Effects on Students From Converting On-Campus Classes to Online Due to the COVID-19 Pandemic
Whiting, A., Ritz, W., & Hain, J. S. (2021) · Journal for advancement of marketing education · doi:10.63963/001c.150594 · Cited by 5
“Calculating change variables has been previously used in other marketing studies such as Martin, Borah, and Palmatier (2017) and Whiting and Donthu (2009).”
Dynamische Preisgestaltung in der digitalisierten Welt
Spann, M., & Skiera, B. (2020) · Schmalenbach Journal of Business Research · doi:10.1007/s41471-020-00095-0 · Cited by 14
Data Privacy Concerns Throughout the Customer Journey and Different Service Industries
Mäki, M., & Alamäki, A. V. (2019) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-28464-0_45 · Cited by 6
Seeing is believing
Hilken (2018) · Research Publications (Maastricht University) · doi:10.26481/dis.20180907th · Cited by 4
“Customer concerns about marketers collecting and using personal information continue to be a pertinent issue (Martin et al. 2017), particularly in relation to AR technologies (Dacko 2016).”
Background
Generative AI, digital dexterity, and organizational future performance: The roles of decision-making and institutional governance for sustainable supply chains
Liu, D. Y., Kamal, M. M., Dou, J., & Zhang, Z. (2026) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2026.124656 · Cited by 8
Consumers’ acceptance of in-store technologies through the lens of segmentation
Namin, A., Jindal, R. P., Gauri, D. K., Ratchford, B. T., & Ketron, S. C. (2026) · Journal of Business Research · doi:10.1016/j.jbusres.2026.116010 · Cited by 2
Big data in consumer behavior research: a systematic review of data sources, analytical methods, and research questions
Liu, Q.-K., Wang, R., Pareti, M., Castellini, A., Viaggi, D., & Canavari, M. (2026) · Journal of Marketing Analytics · doi:10.1057/s41270-026-00470-6 · Cited by 4
Digital IB risks: A systematic literature review through internalisation lenses
Silva-Rêgo, B., & Kogut, C. S. (2025) · International Business Review · doi:10.1016/j.ibusrev.2025.102528 · Cited by 4
Real-time privacy vulnerability detection techniques in software development: A Systematic Literature Review
Madhushanie, N., Vidanagamachchi, S., & Arachchilage, N. A. G. (2025) · Computers & Security · doi:10.1016/j.cose.2025.104659 · Cited by 3
The impact of perceived availability of consumer data on loyalty in retail channels: a relational exchange perspective
Haji, I. H. A., Temprano-García, V., & Peluso, A. M. (2025) · European Journal of Marketing · doi:10.1108/ejm-08-2023-0629 · Cited by 4
Examining user information disclosure on artificial intelligence-generated content platforms: A privacy calculus perspective
Zhou, T., & Tang, B. (2025) · Information Development · doi:10.1177/02666669251384288 · Cited by 8
Unlocking Privacy in Healthcare: The Impact of Explanations on Privacy Concerns and Self‐Disclosure to Conversational Technologies
Papneja, H., & Devaraj, S. (2025) · Journal of Operations Management · doi:10.1002/joom.70026 · Cited by 5
The Impact of Integrity-Related Factors on Consumer Shopping Intention–An Interactive Marketing Approach Based on Digital Integrity Model
Florea, N. V., Croitoru, G., & Diaconeasa, A.-A. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20040262 · Cited by 10
“Regulatory protection mechanisms have been shown to reinforce consumer trust in cross-border digital transactions [30].”
Commercial Value of Data Resource: An Overview of Current State of Research and Future Prospects
Qin, H., Liu, Y., & Hu, Y. (2025) · SAGE Open · doi:10.1177/21582440251379511 · Cited by 4
“This is not only a legal and ethical issue, but also involves technical and economic dimensions, and balancing data tenure, privacy and commercial utilization needs is the key to the data assetization process (Martin et al., 2017).”
The power of words: how linguistic framing affects consent in retail privacy policies
Romero, M., Slejko, G., & Abell, A. (2025) · Journal of Retailing · doi:10.1016/j.jretai.2025.09.001 · Cited by 4
A Systematic Literature Review on Artificial Intelligence Features Driving Purchase Intention on Web Commerce: Insights into Customer Experience and Trust Using Python-Based Analysis
Erliana, S. (2025) · Journal of Digital Business and Innovation Management · doi:10.26740/jdbim.v4i2.71956 · Cited by 4
“Clear privacy policies, data anonymization techniques, and opt-in mechanisms for personalized experiences reinforce the ethical use of customer data (Martin et al., 2017).”
Pre-Trained AI Model Assisted Online Decision-Making under Missing Covariates: A Theoretical Perspective
Hu, H.-C., & Simchi-Levi, D. (2025) · arXiv.org · doi:10.48550/arxiv.2507.07852 · Cited by 4
“Customers may choose to withhold demographic or behavioral information for privacy reasons (Martin et al., 2017; Bracale et al., 2025); in healthcare systems, historical records may be incomplete or fragmented (Dziura et al., 2013; Turkson et al., 2021); and in operational platforms, data pipelines…”
Human-centered design of a privacy assistant and its impact on perceived transparency and intervenability
Kiss, L., & Sellung, R. (2025) · i-com · doi:10.1515/icom-2024-0064 · Cited by 4
Should I Use ChatGPT Travel Insurance Recommendations? A Dual‐Process Theory Perspective
Herjanto, H., Amin, M., & Çobanoğlu, C. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70044 · Cited by 4
Exploring Psychological Drivers in Dynamic Pricing and Consumer Decision Making
Niemeier, C., & Pospíšil, R. (2024) · Golden Ratio of Marketing and Applied Psychology of Business · doi:10.52970/grmapb.v5i1.654 · Cited by 5
“The kind and amount of information that is aggregated for use in price determination may violate consumer rights, especially where he/she has to be charged differently based on his/her circumstances (Martin, Borah and Palmatier, 2016).”
Effects of strategic value orientation on personal data privacy, value in use and organizational reputation
Durans, A. D. A., & Mainardes, E. (2024) · International Journal of Bank Marketing · doi:10.1108/ijbm-04-2024-0243 · Cited by 4
Standardization of Information Security Management in the Banking Sector using the ISO 27001:2022 Framework
Ryanto, K., & Tundjungsari, V. (2024) · Journal La Multiapp · doi:10.37899/journallamultiapp.v5i4.1399 · Cited by 4
“…crimes, finding that data leaks were caused by breaking into customer data or accounts and duplicating consumer identities by financial services, Martin et al. (2017) found the factor of consumer data leakage due to parties breaking into customer data or accounts and duplicating consumer…”
Background
The Impact of Data Privacy Laws on Digital Marketing Practices
Obudho, K. (2024) · Journal of Modern Law and Policy · doi:10.47941/jmlp.2155 · Cited by 4
“Martin, Borah & Palmatier (2017) investigated the effects of data privacy regulations on customer trust and firm performance in the marketing sector.”
BackgroundInfluential
Beyond transactions: Understanding the determinants of e-satisfaction in online shopping
Utama, I. D., Sudirman, I. D., & Kurnianingrum, D. (2024) · Journal of Asian Scientific Research · doi:10.55493/5003.v14i2.5063 · Cited by 5
“Moreover, the growing emphasis on data protection and privacy in the digital age is a major concern for consumers who are already aware of their personal information's security [79, 80].”
Background
Impact of Accounting Information System on Performance of Vietnamese Construction Enterprises
Duong, T. V. A. (2023) · International Journal of Professional Business Review · doi:10.26668/businessreview/2023.v8i10.3438 · Cited by 4
“Martin et al. (2017) confirmed that data privacy produces adverse outcomes for companies, including negative abnormal stock returns and negative customer behaviour.”
Background
Research on the Impact of Privacy Information Sensitivity on Consumers' Purchase Intention in E-commerce Livestreaming
Jin, K. (2023) · Highlights in Business, Economics and Management · doi:10.54097/hbem.v9i.9229 · Cited by 4
“In this paper, privacy sensitivity refers to consumers' perception of the harm that may be caused by merchants or platforms using their personal privacy data in various ways in the context of e-commerce live streaming[5].”
Background
Subscriptions versus one-off purchases: the impact of fee-charging models on consumer privacy concerns
Yan, C., Yang, Z., & Dai, X. (2023) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2022-0271 · Cited by 5
Paradoxes Datenschutzverhalten
Lasarov, W., & Hoffmann, S. (2021) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-021-00706-2 · Cited by 7
“Die wahrgenommene Kontrolle der Konsument*innen über die eigenen Daten gilt als bedeutende Einflussgröße auf deren Verhalten in datensensiblen Situationen (Acquisti et al. 2013; Bleier und Eisenbeiss 2015a, b; Martin et al. 2016; Mothersbaugh et al. 2012; Tucker 2014; Xu et al. 2012).”
BackgroundInfluential

Authors: Martin, K. D., Borah, A., & Palmatier, R. W.
Affiliations: Colorado State University (US)
University of Washington (US)
ORCID: Martin, Kelly D.
Borah, Abhishek
Palmatier, Robert W.
Venue: Journal of Marketing
Publisher: SAGE Publications
Published: 2017-01
Volume: 81
Issue: 1
Pages: 36-58
ISSN: 0022-2429 (ISSN-L)
1547-7185
DOI: 10.1509/jm.15.0497
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
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data Privacy: Effects on Customer and Firm Performance

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Metadata

Record

About these checks