<b>Gendered Drivers of Sexual Wellness Purchase Among Indian Gen Z: Stigma, Privacy, and Digital Influence</b>
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Keywords

Sexual Wellness Purchase Behaviour
Generation Z
Consumer Behaviour
Privacy Concern in e-Commerce
PLS-SEM

How to Cite

Gendered Drivers of Sexual Wellness Purchase Among Indian Gen Z: Stigma, Privacy, and Digital Influence. (2026). Journal of Cortexplore, 1(2), 45-62. https://cortexplore.org/index.php/jce/article/view/13

Abstract

India's sexual wellness market is growing rapidly within a socio-cultural environment characterised by persistent stigma, privacy anxiety, and heterogeneous digital influence. Generation Z (Gen Z) consumers occupy a contradictory position, digitally uninhibited yet socially constrained, rendering their purchase behaviour understudied and theoretically unresolved.

This study develops and empirically tests an integrated framework grounded in the Theory of Planned Behaviour (TPB), the Stimulus-Organism-Response (SOR) model, and the Embarrassing Product Decision (EPD) framework to explain gendered sexual wellness purchase behaviour among Indian Gen Z.

An anonymous online survey was administered to 658 Gen Z respondents (aged 18–27; 52.6% female) across Tier 1 and Tier 2 Indian cities. Partial Least Squares Structural Equation Modelling (PLS-SEM) with 5,000-iteration bootstrapping was used to test fifteen hypotheses. Gender moderation was examined through multi-group PLS-SEM.

Perceived stigma (β = .464, p < .001) is the strongest inhibitor of attitude; eWOM (β = .401), social media influence (β = .258), and discreet packaging (β = .168) are facilitative antecedents. Privacy concern operates indirectly via perceived behavioural control (β = .374, p < .001). Subjective norms are the strongest predictor of purchase intention (β = .352). Influencer exposure exerts a counterintuitive negative effect on attitude (β = −.156, p = .011). The downstream loyalty chain is fully confirmed. Stigma effects are stronger for female consumers; social media influence is significant only for males.

Stigma, privacy, and digital influence jointly, and differentially by gender, shape sexual wellness purchase trajectories among Indian Gen Z. Findings advance the dual-pathway stigma model and yield actionable guidance for marketers, platforms, and public health communicators.

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References

Ajzen, I. (1991a). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Ajzen, I. (1991b). The Theory of Planned Behavior.

Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195

Alalwan, A. A. (2018a). Investigating the impact of social media advertising features on customer purchase intention. International Journal of Information Management, 42, 65–77. https://doi.org/10.1016/j.ijinfomgt.2018.06.001

Alalwan, A. A. (2018b). Investigating the impact of social media advertising features on customer purchase intention. International Journal of Information Management, 42, 65–77. https://doi.org/10.1016/J.IJINFOMGT.2018.06.001

Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411

Armitage, C. J., & Conner, M. (2001). Efficacy of the Theory of Planned Behaviour: a meta-analytic review. The British Journal of Social Psychology, 40(Pt 4), 471–499. https://doi.org/10.1348/014466601164939

Brehm, J. W. (1966). A theory of psychological reactance. https://doi.org/https://psycnet.apa.org/doi/10.1037/h0023992

Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470. https://doi.org/10.1016/J.DSS.2012.06.008

Conner, M., & Armitage, C. J. (1998). Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28(15), 1429–1464. https://doi.org/10.1111/J.1559-1816.1998.TB01685.X;ISSUE:ISSUE:DOI

Dahl, D. W., Manchanda, R. V., & Argo, J. J. (2001). Embarrassment in consumer purchase: The roles of social presence and purchase familiarity. Journal of Consumer Research, 28(3), 473–481. https://doi.org/10.1086/323734

Dasgupta, R. K. (2017). Digital queer cultures in India: Politics, intimacies and belonging. Digital Queer Cultures in India: Politics, Intimacies and Belonging, 1–197. https://doi.org/10.4324/9781315207032/DIGITAL-QUEER-CULTURES-INDIA-ROHIT-DASGUPTA/RIGHTS-AND-PERMISSIONS

Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly: Management Information Systems, 39(2), 297–316. https://doi.org/10.25300/MISQ/2015/39.2.02

Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80. https://doi.org/10.1287/ISRE.1060.0080

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312

Fromm, Jeff., & Read, Angie. (2018). Marketing to Gen Z : the rules for reaching this vast and very different generation of influencers. 202. https://books.google.com/books/about/Marketing_to_Gen_Z.html?id=jpjoswEACAAJ

Goffman, E. (1963). Stigma Notes on the Management of Spoiled Identity.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). MULTIVARIATE DATA ANALYSIS EIGHTH EDITION. www.cengage.com/highered

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

India Sexual Wellness Market Size, Share, Trends and Forecast by Product Type, Distribution Channel, End Use, and Region, 2026-2034. (2025). https://www.imarcgroup.com/india-sexual-wellness-market

Intimate wellness: That Sassy Thing~India’s first women founded brand – thatsassything. (2026). https://thatsassything.com/?srsltid=AfmBOorcunOztVU__WPc4Ic6qkaRBhbyW4wHuhkthYqmccmvzF1tQlal

Jai, T. M., & King, N. J. (2016). Privacy versus reward: Do loyalty programs increase consumers’ willingness to share personal information with third-party advertisers and data brokers? Journal of Retailing and Consumer Services, 28, 296–303. https://doi.org/10.1016/j.jretconser.2015.01.005

Kakar, Sudhir., & Poggendorf-Kakar, Katharina. (2009). The Indians : portrait of a people. 226.

kalories® Aphrodisiac & Sports Dark Chocolate | Bean-to-Bar India – Kalories. (2026). https://kalories.in/

Kapoor, K. K., & Dwivedi, Y. K. (2015). Metamorphosis of Indian electoral campaigns: Modi’s social media experiment. International Journal of Indian Culture and Business Management, 11(4), 496–516. https://ideas.repec.org/a/ids/ijicbm/v11y2015i4p496-516.html

Khan, L., Kozakiewicz, T., Bhattacharyya, M., Azim, T., Schmidt, M., Polak, T., Snilstveit, B., & Shisler, S. (2024). Sexual and reproductive health and rights in low- and middle- income countries. International Initiative for Impact Evaluation (3ie).

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/IJEC.2015100101

Kozinets, R. V., De Valck, K., Wojnicki, A. C., & Wilner, S. J. S. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of Marketing, 74(2), 71–89. https://doi.org/10.1509/JMKG.74.2.71

Krishna, A., Herd, K. B., & Aydınoğlu, N. Z. (2019). A Review of Consumer Embarrassment as a Public and Private Emotion. Journal of Consumer Psychology, 29(3), 492–516. https://doi.org/10.1002/JCPY.1086

Lou, C., & Yuan, S. (2019a). Influencer Marketing: How Message Value and Credibility Affect Consumer Trust of Branded Content on Social Media. Journal of Interactive Advertising, 19(1), 58–73. https://doi.org/10.1080/15252019.2018.1533501

Lou, C., & Yuan, S. (2019b). Influencer Marketing: How Message Value and Credibility Affect Consumer Trust of Branded Content on Social Media. Journal of Interactive Advertising, 19(1), 58–73. https://doi.org/10.1080/15252019.2018.1533501

Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355. https://doi.org/10.1287/ISRE.1040.0032

Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. https://psycnet.apa.org/record/1974-22049-000

MyMuse. (2026). https://mymuse.in/pages/pl-brand-page-g-8?tw_source=google&tw_adid=708299286410&tw_campaign=21543903030&tw_kwdid=kwd-363783993596&utm_source=paidsearch&utm_medium=google_paidsearch&utm_campaign=Sales-Brand-Exact29thAug&gad_source=1&gad_campaignid=21543903030&gbraid=0AAAAABdbwAPy81JSn3JR47g0wU6_ST160&gclid=CjwKCAjwqubPBhBOEiwAzgZX2ptaCk3R9dCndQr4rY8DQg4saqGSM-B5zy0vCWLMBcv7IBRNXiLdOBoChUwQAvD_BwE

Ndichu, E. G., & Rittenburg, T. L. (2021). Consumers’ navigation of risk perceptions in the adoption of stigmatized products. Journal of Business Research, 132, 340–353. https://doi.org/10.1016/J.JBUSRES.2021.03.057

Oliver, R. L. (1999). Whence consumer loyalty? Journal of Marketing, 63(SUPPL.), 33–44. https://doi.org/10.2307/1252099

Pachauri, S., Pachauri, A., & Mittal, K. (2022). Sexual and Reproductive Health and Rights in India. SpringerBriefs in Public Health. https://doi.org/10.1007/978-981-16-4578-5

Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly: Management Information Systems, 30(1), 115–143. https://doi.org/10.2307/25148720

Petty, R. E., & Cacioppo, J. T. (1986). Communication and Persuasion. Communication and Persuasion. https://doi.org/10.1007/978-1-4612-4964-1/COVER

Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879

Priporas, C. V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers’ expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77, 374–381. https://doi.org/10.1016/J.CHB.2017.01.058

Ringle, C. M., Wende, S., & Becker, J.-M. (2024). SmartPLS 4. SmartPLS GmbH. https://www.smartpls.com

Rosenberg, B. D., & Siegel, J. T. (2025). Psychological Reactance Theory: An Introduction and Overview. Motivation Science, 11(2), 133–138. https://doi.org/10.1037/mot0000376

Sheeran, P. (2002). Intention—Behavior Relations: A Conceptual and Empirical Review. European Review of Social Psychology, 12(1), 1–36. https://doi.org/10.1080/14792772143000003

Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals’ concerns about organizational practices. MIS Quarterly: Management Information Systems, 20(2), 167–195. https://doi.org/10.2307/249477

Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53. https://doi.org/10.1016/J.JRETCONSER.2019.01.011

Turner, A. (2015). Generation Z: Technology and Social Interest. The Journal of Individual Psychology, 71(2), 103–113. https://doi.org/10.1353/JIP.2015.0021

UNFPA. (2022). UNFPA India | State of the World Population Report 2022: Seeing the unseen. https://india.unfpa.org/en/state-of-the-world-population-report-2022-seeing-the-unseen

Vandenberg, R. J., & Lance, C. E. (2000). A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research. Organizational Research Methods, 3(1), 4–69. https://doi.org/10.1177/109442810031002;WEBSITE:WEBSITE:SAGE;ISSUE:ISSUE:DOI

Westin, A. F. (1967). Privacy And Freedom. https://archive.org/details/privacyfreedom00west/page/n7/mode/2up

Yoo, B., & Donthu, N. (2001). Developing and validating a multidimensional consumer-based brand equity scale. Journal of Business Research, 52(1), 1–14. https://doi.org/10.1016/S0148-2963(99)00098-3

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