The role of data privacy in marketing

Martin, Kelly D.; Murphy, Patrick E.

doi:10.1007/s11747-016-0495-4

Cited by 902Privacy, Security, and Data ProtectionConsumer Market Behavior and PricingPrivacy-Preserving Technologies in Data

The role of data privacy in marketing

Martin, Kelly D., Murphy, Patrick E.·2017·Journal of the Academy of Marketing Science

DOI 10.1007/s11747-016-0495-4

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The collection and utilization of consumer data by AI and analytical algorithms via social media give rise to serious issues regarding invasion of consumers' privacy, fraud, offensive or harmful marketing appeals, lack of transparency, information leakage and identity theft.
“the collection and utilization of consumer data by AI and analytical algorithms via social media give rise to serious issues regarding invasion of consumers' privacy, fraud, offensive or harmful marketing appeals, lack of transparency, information leakage and identity theft (Martin & Murphy, 2017).”
From Setting the future of digital and social media marketing research: Perspectives and research propositions (2021) · cites this paper as Martin & Murphy, 2017
Consumer concerns regarding data privacy and their ability to trust brands and platforms are not new.
“Consumer concerns regarding data privacy, and their ability to trust brands and platforms are not new (for a review on data privacy see Martin and Murphy 2017).”
From The future of social media in marketing (2020) · cites this paper as Martin and Murphy 2017

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Review articles: purpose, process, and structure
Palmatier, R. W., Houston, M. B., & Hulland, J. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0563-4 · Cited by 1,051 · see citing works
“Some scholars organize research by scholarly perspectives (e.g., the psychology of privacy, the economics of privacy; Martin and Murphy 2017); others classify the chosen articles by objective research aspects (e.g., empirical setting, research design, conceptual frameworks; Cleeren et al. 2017).”
Background
Data Privacy: Effects on Customer and Firm Performance
Martin, K. D., Borah, A., & Palmatier, R. W. (2017) · Journal of Marketing · doi:10.1509/jm.15.0497 · Cited by 786 · see citing works
“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
The future of technology and marketing: a multidisciplinary perspective
Grewal, D., Hulland, J. S., Kopalle, P. K., & Karahanna, E. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00711-4 · Cited by 710 · see citing works
The Impact of Digital Transformation on the Retailing Value Chain
Reinartz, W., Wiegand, N., & Imschloß, M. (2018) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2018.12.002 · Cited by 650 · see citing works
Personalization in personalized marketing: Trends and ways forward
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022) · Psychology & Marketing · doi:10.1002/mar.21670 · Cited by 595 · see citing works
Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities
Du, S., & Xie, C. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.08.024 · Cited by 610 · see citing works
The evolving role of artificial intelligence in marketing: A review and research agenda
Vlačić, B., Corbo, L., Silva, S. C. L. D. C. E., & Dabić, M. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.01.055 · Cited by 626 · see citing works
Digital technologies: tensions in privacy and data
Quach, S., Thaichon, P., Martin, K. D., Weaven, S., & Palmatier, R. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00845-y · Cited by 436 · see citing works
“Proactive permission strategy Among consumers who are more aware of privacy tensions and knowledgeable about digital privacy technologies, we note more sophisticated efforts to protect personal information (Martin et al., 2017).”
BackgroundSelf-citation
Corporate digital responsibility
Lobschat, L., Mueller, B., Eggers, F., Brandimarte, L., Diefenbach, S., Kroschke, M., & Wirtz, J. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2019.10.006 · Cited by 573 · see citing works
User Perceptions of Smart Home IoT Privacy
Zheng, S., Apthorpe, N., Chetty, M., & Feamster, N. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274469 · Cited by 481 · see citing works
“There is an extensive literature on opinions and effectiveness of targeted advertisements, but none of these studies focus on IoT [26, 32, 45, 54].”
Background
Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective
Hermann, E. (2021) · Journal of Business Ethics · doi:10.1007/s10551-021-04843-y · Cited by 458 · see citing works
Online relationship marketing
Steinhoff, L., Arli, D. I., Weaven, S. K., & Kozlenkova, I. V. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0621-6 · Cited by 421 · see citing works
Mobile health technology adoption across generations: Narrowing the digital divide
Fox, G., & Connolly, R. (2018) · Information Systems Journal · doi:10.1111/isj.12179 · Cited by 344 · see citing works
Preparing for an Era of Deepfakes and AI-Generated Ads: A Framework for Understanding Responses to Manipulated Advertising
Campbell, C., Plangger, K. A., Sands, S., & Kietzmann, J. (2021) · Journal of Advertising · doi:10.1080/00913367.2021.1909515 · Cited by 361 · see citing works
“Personalized manipulated ads may be costly in terms of triggering reactance (Brinson, Eastin, and Cicchirillo 2018) and privacy concerns (Martin and Murphy 2017; Okazaki et al. 2020) or feelings of vulnerability (Agurrie et al. 2015; Hill and Sharma 2020; Martin, Borah, and Palmatier 2017).”
Background
Why systematic review papers and meta-analyses matter: an introduction to the special issue on generalizations in marketing
Hulland, J. S., & Houston, M. B. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00721-7 · Cited by 324 · see citing works
Corporate digital responsibility in service firms and their ecosystems
Wirtz, J., Kunz, W. H., Hartley, N., & Tarbit, J. (2023) · Journal of Service Research · doi:10.1177/10946705221130467 · Cited by 291 · see citing works
“…not limited to, unwanted marketing communications, highly targeted advertising, surreptitious online tracking, ubiquitous surveillance, privacy failures such as data breaches, identity theft (e.g., Martin and Murphy 2017; Quach et al. 2022), and undisclosed commercialization of data (Martin 2015).”
BackgroundInfluential
Trust in blockchain-enabled exchanges: Future directions in blockchain marketing
Tan, T. M., & Saraniemi, S. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00889-0 · Cited by 277 · see citing works
“…to connect with their customers more strongly than before, all promote the privacy policies of the companies, even as a potential differentiation tool (Martin & Murphy, 2017) and build a culture that prioritizes corporate digital responsibility (Lobschat et al., 2021; Rangaswamy et al., 2020).”
BackgroundInfluential
Three decades of research on loyalty programs: A literature review and future research agenda
Chen, Y., Mandler, T., & Meyer‐Waarden, L. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.11.057 · Cited by 277 · see citing works
Consumer privacy and the future of data-based innovation and marketing
Bleier, A., Goldfarb, A., & Tucker, C. (2020) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2020.03.006 · Cited by 239 · see citing works
“Correspondingly, Martin and Murphy (2017) develop a set of best practices for ﬁrms to gain a competitive edge through good privacy practices.”
Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing
Cheah, J., Lim, X., Ting, H., Liu, Y., & Quach, S. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102242 · Cited by 231 · see citing works
Fostering B2B sales with customer big data analytics
Hallikainen, H., Savimäki, E., & Laukkanen, T. (2019) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.12.005 · Cited by 221 · see citing works
Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing
Thomaz, F., Salge, C., Karahanna, E., & Hulland, J. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00704-3 · Cited by 204 · see citing works
“Customer privacy is central to this potential problem (Martin & Murphy 2017, Stewart 2017).”
Background
“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles
Meyer‐Waarden, L., & Cloarec, J. (2021) · Technovation · doi:10.1016/j.technovation.2021.102348 · Cited by 202 · see citing works
“Therefore, we assume that privacy concerns have a negative impact on trust in AI-based AV technologies (Martin and Murphy, 2017), and we hypothesize as follows: H8: Privacy concerns about an AV have a negative effect on trust in AV technology.”
BackgroundInfluential
Generative AI in innovation and marketing processes: A roadmap of research opportunities
Cillo, P., & Rubera, G. (2024) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-024-01044-7 · Cited by 219 · see citing works
“While the marketing literature has primarily focused on consumer concerns regarding data privacy (Martin & Murphy, 2017; Martin et al., 2017; Thomaz et al., 2020 ), we highlight a major concern for firms: sharing proprietary knowledge poses the risk of diminishing the scarcity of a firm’s…”
Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature
Grover, P., & Kar, A. K. (2017) · Global Journal of Flexible Systems Management · doi:10.1007/s40171-017-0159-3 · Cited by 219 · see citing works
“Big data analytics had been extensively used in the various domains such as smart city (O¨berg and Graham 2016; Srai et al. 2016), supply chain management (Hahn and Packowski 2015), tourism demand forecasting (Li et al. 2017), privacy (Martin and Murphy 2017) and auditing (Yoon et al. 2015).”
The Influence of Consumer–Brand Relationship on the Personalized Advertising Privacy Calculus in Social Media
Hayes, J. L., Brinson, N. H., Bott, G. J., & Moeller, C. M. (2021) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2021.01.001 · Cited by 180 · see citing works
Integrating Ethics within Machine Learning Courses
Saltz, J., Skirpan, M. W., Fiesler, C. L., Gorelick, M., YEH, T. P., Heckman, R., Dewar, N., & Beard, N. (2019) · ACM Transactions on Computing Education · doi:10.1145/3341164 · Cited by 180 · see citing works
“An individual’s right to choose which of their activities and facts are shared with others is an important consideration for ML and data science teams [56].”
Background
Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing
Seele, P., Dierksmeier, C., Hofstetter, R., & Schultz, M. D. (2021) · Journal of Business Ethics · doi:10.1007/s10551-019-04371-w · Cited by 196 · see citing works
Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features
Uysal, E., Alavi, S., & Bezençon, V. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00856-9 · Cited by 182 · see citing works
“A conscientious and transparent manner of managing consumer data will not only shield the company from continuous government scrutiny and potential legal expenses, but is also a corporate digital responsibility (Lobschat et al., 2021; Martin & Murphy, 2017).”
BackgroundMethod
The penalty for privacy violations: How privacy violations impact trust online
Martin, K. E. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.08.034 · Cited by 178 · see citing works
Self-citation
Emerging technologies and analytics for a new era of value-centered marketing in healthcare
Agarwal, R., Dugas, M., Gao, G. (., & Kannan, P. K. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00692-4 · Cited by 175 · see citing works
“Drawing from these insights, healthcare organizations can identify ways of using privacy protection as a means of building trust and enabling differentiation from competition (Martin et al. 2017).”
Background
Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management
Volkmar, G. V., Fischer, P. M., & Reinecke, S. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.04.007 · Cited by 198 · see citing works
Data analytics in a privacy-concerned world
Wieringa, J. E., Kannan, P. K., Ma, X., Reutterer, T., Risselada, H., & Skiera, B. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.05.005 · Cited by 162 · see citing works
Understanding the Strategic Consequences of Customer Privacy Concerns: A Meta-Analytic Review
Okazaki, S., Eisend, M., Plangger, K. A., de Ruyter, K., & Grewal, D. (2020) · Journal of Retailing · doi:10.1016/j.jretai.2020.05.007 · Cited by 148 · see citing works
The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy calculus theories
Attié, E. A., & Meyer‐Waarden, L. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121485 · Cited by 154 · see citing works
Impact of Big Data and Machine Learning on Digital Transformation in Marketing: A Literature Review
Miklošík, A., & Evans, N. (2020) · IEEE Access · doi:10.1109/access.2020.2998754 · Cited by 146 · see citing works
“Thus, there is a need for policies and procedures to determine how to use data in marketing while respecting one’s privacy [42].”
BackgroundInfluential
Trust, commitment, customer intimacy and customer loyalty in Islamic banking relationships
Tabrani, M., Amin, M., & Nizam, A. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-03-2017-0054 · Cited by 257 · see citing works
“, 2014), There are a consensus in Islamic banks in defining trust as honesty, confidence, integrity and trustworthiness (Amin et al., 2013; Jamshidi et al., 2015; Martin and Murphy, 2017; Sumaedi et al., 2015; Tsarenko and Tojib, 2009; Tyler et al., 2007; Ullah et al., 2016; Wahyudi, 2014).”
Background
Toward an Understanding of Responsible Artificial Intelligence Practices
Wang, Y., Xiong, M., & Olya, H. (2020) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2020.610 · Cited by 146 · see citing works
“individual, business, and society [25], [40].”
Background
Explicating the privacy paradox: A qualitative inquiry of online shopping consumers
Bandara, R. J., Fernando, M., & Akter, S. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.101947 · Cited by 150 · see citing works
Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework
Rana, M. M., Siddiqee, M. S., Sakib, M. N., & Ahamed, M. R. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e37569 · Cited by 143 · see citing works
“As per the study of Martin and Murphy [164], in the competitive perspective of educational technologies, AI solution providers offer a superior privacy protection which not only attract more users base but also retain them over time.”
Background
The personalisation-privacy paradox: Consumer interaction with smart technologies and shopping mall loyalty
Ameen, N., Hosany, S., & Paul, J. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106976 · Cited by 150 · see citing works
Leveraging Big Data Analytics for Understanding Consumer Behavior in Digital Marketing: A Systematic Review
Theodorakopoulos, L., & Theodoropoulou, A. (2024) · Human Behavior and Emerging Technologies · doi:10.1155/2024/3641502 · Cited by 153 · see citing works
How consumer digital signals are reshaping the customer journey
Schweidel, D. A., Bart, Y., Inman, J. J., Stephen, A. T., Libai, B., Andrews, M., Rosario, A. B., Chae, I., Chen, Z., Kupor, D. M., et al. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00839-w · Cited by 162 · see citing works
“In addition to their visibility to firms, signals may be overtly or covertly collected (e.g., Martin & Murphy, 2017; Xu et al., 2011).”
Background
Marketing ecosystem: An outside-in view for sustainable advantage
Zhang, J. Z., & Watson, G. F. (2020) · Industrial Marketing Management · doi:10.1016/j.indmarman.2020.04.023 · Cited by 134 · see citing works
Is AI-based digital marketing ethical? Assessing a new data privacy paradox
Saura, J. R., Škare, V., & Došen, Đ. O. (2024) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2024.100597 · Cited by 163 · see citing works
The Platformization of Brands
Wichmann, J. R. K., Wiegand, N., & Reinartz, W. (2021) · Journal of Marketing · doi:10.1177/00222429211054073 · Cited by 126 · see citing works
“Consumers have the fundamental urge to live up to their full potential, “the desire to become more and more what one is, to become everything that one is capable of becoming” (Maslow 1943, p. 383).”
Background
Privacy threats with retail technologies: A consumer perspective
Pizzi, G., & Scarpi, D. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102160 · Cited by 124 · see citing works
Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms
Brewis, C., Dibb, S., & Meadows, M. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122402 · Cited by 148 · see citing works
“While some contributions have focused on big data ’ s use in operational marketing (Erevelles et al., 2016; Martin and Murphy, 2017), its application in strategic marketing has received much less attention (Quinn et al., 2016), although some studies have examined its contribution to marketing…”
Background
Privacy concerns in E-commerce: A taxonomy and a future research agenda
Bandara, R. J., Fernando, M., & Akter, S. (2019) · Electronic Markets · doi:10.1007/s12525-019-00375-6 · Cited by 133 · see citing works
The marketing–finance interface: A new integrative review of metrics, methods, and findings and an agenda for future research
Edeling, A., Srinivasan, S., & Hanssens, D. M. (2020) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2020.09.005 · Cited by 136 · see citing works
“Data privacy is an evolving ﬁeld in digital marketing research (Martin & Murphy, 2017).”
The dark side of artificial intelligence in service: The “watching-eye” effect and privacy concerns
Hu, Y., & Min, H. K. (2023) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2023.103437 · Cited by 122 · see citing works
The state of marketing analytics in research and practice
Iacobucci, D., Petrescu, M., Krishen, A. S., & Bendixen, M. (2019) · Journal of Marketing Analytics · doi:10.1057/s41270-019-00059-2 · Cited by 117 · see citing works
Customers’ Willingness to Disclose Personal Information throughout the Customer Purchase Journey in Retailing: The Role of Perceived Warmth
Aiello, G., Donvito, R., Acuti, D., Grazzini, L., Mazzoli, V., Vannucci, V., & Viglia, G. (2020) · Journal of Retailing · doi:10.1016/j.jretai.2020.07.001 · Cited by 118 · see citing works
The role of normative marketing ethics
Laczniak, G. R., & Murphy, P. E. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.07.036 · Cited by 111 · see citing works
Self-citation
Im Spannungsfeld zwischen Sicherheit und Freiheit
Lasarov, W. (2020) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-020-00646-3 · Cited by 111 · see citing works
Deploying artificial intelligence in services to AID vulnerable consumers
Hermann, E., Williams, G. Y., & Puntoni, S. (2023) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-023-00986-8 · Cited by 113 · see citing works
“…it is crucial to avoid excessive tracking and surveillance of vulnerable consumers (Andrew & Baker, 2021; König et al., 2020) to prevent customer data vulnerability (Martin & Murphy, 2017), especially when dealing with sensitive and “special category” data like biometric or health information.”
The personalization–privacy paradox in the attention economy
Cloarec, J. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120299 · Cited by 112 · see citing works
Performance consequences of marketing standardization/adaptation: A systematic literature review and future research agenda
Mandler, T., Sezen, B., Chen, J., & Özsomer, A. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.12.023 · Cited by 107 · see citing works
The digital traveller: implications for data ethics and data governance in tourism and hospitality
Yallop, A. C., Gică, O. A., Moisescu, O. I., Coroș, M. M., & Séraphin, H. (2021) · Journal of Consumer Marketing · doi:10.1108/jcm-12-2020-4278 · Cited by 100 · see citing works
Social isolation and social anxiety as drivers of generation Z's willingness to share personal information on social media
Lyngdoh, T., El-Manstrly, D. A., & Jeesha, K. (2022) · Psychology and Marketing · doi:10.1002/mar.21744 · Cited by 115 · see citing works
Blockchain adoption in sustainable supply chains for Industry 5.0: A multistakeholder perspective
Wang, Z.-J., Chen, Z., Xiao, L., Su, Q., Govindan, K., & Skibniewski, M. J. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100425 · Cited by 97 · see citing works
A cross cultural study of gender differences in omnichannel retailing contexts
Ameen, N., Tarhini, A., Shah, M. H., & Nusair, K. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102265 · Cited by 96 · see citing works
Managing consumer privacy concerns and defensive behaviours in the digital marketplace
Bandara, R. J., Fernando, M., & Akter, S. (2020) · European Journal of Marketing · doi:10.1108/ejm-06-2019-0515 · Cited by 104 · see citing works
Transformative privacy calculus: Conceptualizing the personalization‐privacy paradox on social media
Cloarec, J., Meyer‐Waarden, L., & Munzel, A. (2024) · Psychology & Marketing · doi:10.1002/mar.21998 · Cited by 104 · see citing works
“In the context of online social exchanges, social exchange theory has also been extensively employed to study personalization in online settings (Martin & Murphy, 2017).”
Data Privacy in Retail
Martin, K. D., Kim, J. J., Palmatier, R., Steinhoff, L., Stewart, D., Walker, B., Wang, Y.-G., & Weaven, S. (2020) · Journal of Retailing · doi:10.1016/j.jretai.2020.08.003 · Cited by 85 · see citing works
Self-citation
40 years of loyalty programs: how effective are they? Generalizations from a meta-analysis
Belli, A., O’Rourke, A.-M., Carrillat, F. A., Pupovac, L., Melnyk, V., & Napolova, E. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-021-00804-z · Cited by 93 · see citing works
Privacy as Trust
Waldman, A. E. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316888667 · Cited by 95 · see citing works
A special price just for you: Effects of personalized dynamic pricing on consumer fairness perceptions
Priester, A., Robbert, T., & Roth, S. (2020) · Journal of Revenue and Pricing Management · doi:10.1057/s41272-019-00224-3 · Cited by 90 · see citing works
Going with the flow: smart shopping malls and omnichannel retailing
Ameen, N., Tarhini, A., Shah, M. H., & Madichie, N. O. (2020) · Journal of Services Marketing · doi:10.1108/jsm-02-2020-0066 · Cited by 90 · see citing works
Insight is power: Understanding the terms of the consumer-firm data exchange
Krafft, M., Kumar, V., Harmeling, C. M., Singh, S. S., Zhu, T., Chen, J., Duncan, T. L., Fortin, W., & Rosa, E. (2020) · Journal of Retailing · doi:10.1016/j.jretai.2020.11.001 · Cited by 93 · see citing works
Service crisis recovery and firm performance: insights from information breach announcements
Rasoulian, S., Grégoire, Y., Legoux, R., & Sénécal, S. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0543-8 · Cited by 85 · see citing works
“Third, this recovery effort should have a positive impact on perceived procedural justice(2) (Johnston and Michel 2008; Martin and Murphy 2016), which is defined as the appropriateness of the policies and practices that a firm puts in place to serve its stakeholders (Tax et al.”
To disclose or to falsify: The effects of cognitive trust and affective trust on customer cooperation in contact tracing
Chen, S., Waseem, D., Xia, Z., Tran, K. T., Li, Y., & Yao, J. (2021) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2021.102867 · Cited by 92 · see citing works
“” Data protection policy describes the way in which businesses exercise ownership of and power over customer data, and how they protect their use of customer data (Lwin et al., 2007; Martin and Murphy, 2017; Xu et al., 2012).”
BackgroundInfluential
Drivers of privacy concerns when interacting with a chatbot in a customer service encounter
Bouhia, M., Rajaobelina, L., Tep, S. P., Arcand, M., & Ricard, L. (2022) · International Journal of Bank Marketing · doi:10.1108/ijbm-09-2021-0442 · Cited by 94 · see citing works
The personalization–privacy paradox at the nexus of social exchange and construal level theories
Cloarec, J., Meyer‐Waarden, L., & Munzel, A. (2021) · Psychology and Marketing · doi:10.1002/mar.21587 · Cited by 87 · see citing works
The Effect of Consumers’ Perceived Power and Risk in Digital Information Privacy: The Example of Cookie Notices
Bornschein, R., Schmidt, L., & Maier, E. (2020) · Journal of Public Policy & Marketing · doi:10.1177/0743915620902143 · Cited by 83 · see citing works
“…of Management, Germany (email: erik.maier@hhl.de). the notice versus choice debate (Acquisti, Brandimarte, and Loewenstein 2015; Martin 2016, 2018; Martin and Murphy 2017; Milne and Bahl 2010; Ohlhausen 2014; U.S. Federal Trade Commission 2010), we therefore make the novel suggestion that power…”
Background
Antecedents of trustworthiness of social commerce platforms: A case of rural communities using multi group SEM & MCDM methods
Abbas, S., Alnoor, A., Teh, S. Y., Sadaa, A. M., Muhsen, Y. R., Khaw, K. W., & Ganesan, Y. (2023) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2023.101322 · Cited by 90 · see citing works
Revisiting the privacy calculus: Why are consumers (really) willing to disclose personal data online?
Fernandes, T., & Pereira, N. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101717 · Cited by 82 · see citing works
Exploring the role of relationship management and relationship quality in B2B: empirical insights and future research directions
Lasrado, F., Thaichon, P., & Nyadzayo, M. W. (2022) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-05-2021-0267 · Cited by 86 · see citing works
The more the better? Data disclosure between the conflicting priorities of privacy concerns, information sensitivity and personalization in e-commerce
Gouthier, M. H. J., Nennstiel, C., Kern, N., & Wendel, L. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.04.034 · Cited by 80 · see citing works
Data Privacy in Retail: Navigating Tensions and Directing Future Research
Martin, K. D., & Palmatier, R. W. (2020) · Journal of Retailing · doi:10.1016/j.jretai.2020.10.002 · Cited by 75 · see citing works
Self-citation
Balancing web personalization and consumer privacy concerns: Mechanisms of consumer trust and reactance
Chen, X., Sun, J., & Liu, H. (2022) · Journal of Consumer Behaviour · doi:10.1002/cb.1947 · Cited by 77 · see citing works
Artificial Intelligence-Based Cybersecurity for the Metaverse: Research Challenges and Opportunities
Awadallah, A., Eledlebi, K., Zemerly, M. J., Puthal, D., Damiani, E., Taha, K., Kim, T., Yoo, P. D., Choo, K. R., Yim, M., et al. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3442475 · Cited by 85 · see citing works
“The privacy concerns of the metaverse discussed in this paper focus on data sensitivity and theft, as well as the anonymity of avatars. a) Sensitive data collection and tracking: In the current Web, organizations have access to user data for marketing purposes [132].”
Does digital global value chain participation reduce energy resilience? Evidence from 49 countries worldwide
Zhang, Z., Wu, H., Zhang, Y., Hu, S., Pan, Y., & Feng, Y. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123712 · Cited by 72 · see citing works
User self-disclosure on social network sites: A cross-cultural study on Facebook’s privacy concepts
Oghazi, P., Schultheiss, R., Chirumalla, K., Kalmer, N. P., & Rad, F. F. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.12.006 · Cited by 75 · see citing works
Algorithmic branding through platform assemblages: core conceptions and research directions for a new era of marketing and service management
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Authors: Martin, K. D., & Murphy, P. E.
Affiliations: Colorado State University (US)
University of Notre Dame (US)
Corresponding author: Martin, Kelly D.
ORCID: Martin, Kelly D.
Venue: Journal of the Academy of Marketing Science
Publisher: Springer Science and Business Media LLC
Published: 2016-09-22
Volume: 45
Issue: 2
Pages: 135-155
ISSN: 0092-0703 (ISSN-L)
1552-7824
DOI: 10.1007/s11747-016-0495-4
OpenAlex: W2521701804
Semantic Scholar: 0c0d9a7f8061ce76a83d14a7c78387569847d56b
Cited by: 902
References: 105
Citations by year: 2026: 196 · 2025: 162 · 2024: 116 · 2023: 90 · 2022: 89 · 2021: 83 · 2020: 79 · 2019: 46 · 2018: 25 · 2017: 13 · 2016: 3
FWCI: 82.92
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (unspecified)
Locations: Journal of the Academy of Marketing Science (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
Keywords: data privacy, marketing, economics of privacy, consumer privacy, privacy ethics, privacy law, stakeholder impact

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