Are Skincare Brands Turning Gen Z’s Loyalty into Profitable Ventures in Africa? A PLS-SEM Analysis of Deceptive Marketing Practice on Consumer Behaviour

Main Article Content

Tajudeen Alaburo Abdulsalam
Rofiat Bolanale Tajudeen

Abstract

The skincare market reached $154.4 billion in 2023, with projected growth of $262.5 billion in 2032 at a 6.0% growth rate. This led skincare brands to compete for dominance, using deceptive marketing tactics in advertising, labelling, product ideas, and packaging. Despite short-term financial gains, deceptive marketing practices have neglected people and planet considerations. Gen Z, raised by world-marked environmental concerns, prioritises social activism and environmental sustainability in their purchasing behaviour. The Internet has amplified these trends, disseminating deceptive ideas widely and leading to consumer confusion and complex purchase decisions. The study explored how skincare brands exploit Gen Z's loyalty for profitability by assessing the impact of deceptive marketing on consumer purchasing decisions in the cosmetics industry. The study conducted an online survey targeting Gen Z skincare consumers in economically diverse African countries, including Egypt, South Africa, Morocco, Nigeria, Uganda, and Lesotho, obtaining 352 responses worth 92% of the sample size. The survey, analysed using the PLS-SEM approach, showed high predictive power between research variables, with R2 coefficients of 55.1% for Gen Z's loyalty and 5.9%, 6.9%, and 5.6% for advertising, labelling and packaging, and product ideas, exceeding the 5% threshold. Findings suggest deceptive marketing impacts Gen Z's loyalty as a measure of purchase behaviour in Africa's cosmetics industry. Research recommends prioritising ethics in marketing practices, developing unique labelling and packaging, enforcing regulations, and investing in consumer education to empower consumers to make informed decisions. The study notes biases in data collection due to unequal online access among Gen Z consumers.

Article Details

How to Cite
Abdulsalam, Tajudeen Alaburo, and Rofiat Bolanale Tajudeen. 2024. “Are Skincare Brands Turning Gen Z’s Loyalty into Profitable Ventures in Africa? A PLS-SEM Analysis of Deceptive Marketing Practice on Consumer Behaviour”. ABUAD Journal of Social and Management Sciences 5 (1), 47-75. https://doi.org/10.53982/ajsms.2024.0501.03-j.
Section
Articles

References

Abbas, Q., Ziaullah, M., Bilal, A., Siddique, M., & Ali, M. A. (2023). Analyzing the Impact of Social Media Marketing Activities on Brand Loyalty in the Apparel Industry and Unveiling the Role of Brand Awareness. Journal of Asian Development Studies, 12(3), 25-44.

Abdulsalam, T. A., Tajudeen, R. B., Ogungbemi, S. S., & Francis, E. (2024). Impact of Forensic Marketing on Consumer Behaviour: Evidence From Beauty Products' Purchase Decision. Business Ethics and Leadership, 8(1), 129-148. https://doi.org/10.61093/bel.8(1).129-148.2024
https://doi.org/10.61093/bel.8(1).129-148.2024

Aghakhani, H., & Main, K. J. (2019). Can two negatives make a positive? Social exclusion prevents carryover effects from deceptive advertising. Journal of Retailing and Consumer Services, 47, 206-214.
https://doi.org/10.1016/j.jretconser.2018.11.021

Ahmad, A. U. (2021). A study of multicollinearity detection and rectification under missing values. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(1S), 399-418.
https://doi.org/10.17762/turcomat.v12i1S.1880

Ahmed, Q. M., & Raziq, M. M. (2018). The social media advertising model (SMAM): a theoretical framework. Journal of Managerial Sciences, 11(3), 117-144.

Alhabash, S., McAlister, A. R., Lou, C., & Hagerstrom, A. (2015). From clicks to behaviors: The mediating effect of intentions to like, share, and comment on the relationship between message evaluations and offline behavioral intentions. Journal of Interactive Advertising, 15(2), 82-96.
Al-Heali, A. N. (2020). The effect of marketing deception on consumer purchasing decisions-an analytical study of the opinions of a sample of Baghdad university students. International Journal of Innovation, Creativity and Change, 13(6), 575-595.
https://doi.org/10.1080/15252019.2015.1071677

Alqaysi, S. J., & Zahari, A. R. (2022). The Effect of Deceptive Brand Image on Consumer Purchase Intention: Empirical Evidence from Iraqi Market. The Journal of Asian Finance, Economics and Business, 9(6), 207-217.

Alsubari, S. N., Deshmukh, S. N., Alqarni, A. A., Alsharif, N., Aldhyani, T. H., Alsaade, F. W., & Khalaf, O. I. (2022). Data analytics for the identification of fake reviews using supervised learning. Computers, Materials & Continua, 70(2), 3189-3204.
https://doi.org/10.32604/cmc.2022.019625

Al-Zyadat, A. Y. (2017). Consumers Attitudes toward Marketing Deception in Advertisement: An Empirical Study in Irbid City-Jordan. Saudi Journal of Business and Management Studies, 2(3), 143-148.

Antoniades, N. (2023). Packaging Global Warming Products: The CIS Strategy as a Driver of Gen Z's Satisfaction and Loyalty. Review of Marketing Science, 21(1), 169-186.
Arezzo, M. F., Horodnic, I. A., Williams, C. C., & Guagnano, G. (2024). Measuring participation in undeclared work in Europe using survey data: A method for resolving social desirability bias. Socio-Economic Planning Sciences, 91, 101779.
https://doi.org/10.1016/j.seps.2023.101779

Azimi, S., Chan, K., & Krasnikov, A. (2022). How fakes make it through: the role of review features versus consumer characteristics. Journal of Consumer Marketing, 39(5), 523-537.
https://doi.org/10.1108/JCM-04-2021-4597

Bajaj, S. (2017). Regulation of advertisement for food products in India-advertisement for food products. In Food Safety in the 21st Century (pp. 469-477). Elsevier.
https://doi.org/10.1016/B978-0-12-801773-9.00038-8

Barbado, R., Araque, O., & Iglesias, C. A. (2019). A framework for fake review detection in online consumer electronics retailers. Information Processing & Management, 56(4), 1234-1244.
https://doi.org/10.1016/j.ipm.2019.03.002

BBMG. (2020). Radically better future: The next Gen reckoning for brands. Retrieved from: http://bbmg.com/radically-better-future/ (Retrieved Date: August 26, 2021)

BBMG. (2021). The Gen Z reckoning: A generation at the tipping point. Retrieved from: https://genzreckoning.com/ (Retrieved Date: August 26, 2021)

Business Insider India. (2020). Most of the world's youngest people, particularly Gen Zers, live in these countries. Retrieved from: https://www.businessinsider.in/international/news/ heres-a-look-at-countries-with-the-worlds-youngest-population/articleshow/77485084.cms (Retrieved Date: August 26, 2021)

Cao, C., Li, S., Yu, S., & Chen, Z. (2021). Fake reviewer group detection in online review systems. 2021 International Conference on Data Mining Workshops (ICDMW), 935-942.
https://doi.org/10.1109/ICDMW53433.2021.00122

Chan, R. Y. K., Sharma, P., Alqahtani, A., Leung, T. Y., & Malik, A. (2024). Mediating Role of Cultural Values in the Impact of Ethical Ideologies on Chinese Consumers' Ethical Judgments. Journal of Business Ethics, 1-20.
https://doi.org/10.1007/s10551-024-05669-0

Chicco, D., Warrens, M. J., & Jurman, G. (2021). The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. Peerj Computer Science, 7, e623.
https://doi.org/10.7717/peerj-cs.623

Dabija, D.-C., & Bejan, B. M. (2019). A cross-generational perspective on Green Loyalty in Romanian Retail. Civil Society: The Engine for Economic and Social Well-Being: The 2017 Griffiths School of Management and IT Annual Conference on Business, Entrepreneurship and Ethics (GMSAC), 1-23.
https://doi.org/10.1007/978-3-319-89872-8_1

Dabija, D.-C., Bejan, B. M., & Dinu, V. (2019). How sustainability oriented is Generation Z in retail? A literature review. Transformations in Business & Economics, 18(2).

Dirgiatmo, Y. (2023). Testing The Discriminant Validity and Heterotrait-Monotrait Ratio of Correlation (HTMT): A Case in Indonesian SMEs. In Macroeconomic Risk and Growth in the Southeast Asian Countries: Insight from Indonesia (pp. 157-170). Emerald Publishing Limited.
https://doi.org/10.1108/S1571-03862023000033A011

Econ Market Research (2024) Skincare Market and Industry: Insights, Trends, and Forecast, Econ Market Research. Available at: https://www.econmarketresearch.com/industry-report/skincaremarket/#:~:text=The%20global%20skincare%20market%20was%20valued%20at%20USD (Accessed: 4 April 2024).

Ezeonu, I. (2018). Crimes of the Powerful Market Criminology, State-Corporate Crime in the Petroleum Extraction Industry, Routledge Taylor & Francis Group. Available at: http://afarinlaw.ir/wp-content/uploads/2018/05/Market-Criminology.pdf (Accessed: 2 November 2023).
https://doi.org/10.4324/9781315541990

Fathy, D., AbouAish, E., & El-Sharnouby, T. (2013). Understanding the Egyptian consumers' perception of deception in advertising:"Developing Research Propositions." Academy of Marketing Annual Conference, 1-9.

Fey, C. F., Hu, T., & Delios, A. (2023). The measurement and communication of effect sizes in management research. Management and Organization Review, 19(1), 176-197.
https://doi.org/10.1017/mor.2022.2

Fowler, J. G., Reisenwitz, T. H., & Carlson, L. (2015). Deception in cosmetics advertising: Examining cosmetics advertising claims in fashion magazine ads. Journal of Global Fashion Marketing, 6(3), 194-206.
https://doi.org/10.1080/20932685.2015.1032319

Francis, T., & Hoefel, F. (2018). Generation Z characteristics and its implications for companies. McKinsey and Company. Retrieved from: https://www.mckinsey.com/indus tries/consumer-packaged-goods/our-insights/true-gen-generation-z-and-its-implications-forcompanies# (Retrieved Date: August, 8, 2021)

Gaber, H. R., Labib, A. A., & Salem, K. O. (2018). The effect of marketing deception on consumer buying decision On Facebook. An empirical study on University Students In Libya. European Journal of Business and Innovation Research, 6(3), 12-18.

Gokmen, S., Dagalp, R., & Kilickaplan, S. (2022). Multicollinearity in measurement error models. Communications in Statistics-Theory and Methods, 51(2), 474-485.
Goo, J. L., Saraih, U. N., Jaafar, H. J., Noraini, M. B., Yusoff, W. S., & Ramish, M. S. (2021). The Influence of Unethical Marketing Practices on Consumers' Buying Behaviours among Malaysian Tertiary Students. International Journal of Business and Technopreneurship, 11(3), 77-88.
https://doi.org/10.1080/03610926.2020.1750654

Gourkar, V. (2023). Effects of deceptive and unethical marketing on consumer behaviour. Dublin, National College of Ireland.

Grazioli, S., & Jarvenpaa, S. L. (2003). Deceived: Under target online. Communications of the ACM, 46(12), 196-205.
Gshayyish, A. M. (2023). Marketing deception and its impact on customer satisfaction. Galaxy International Interdisciplinary Research Journal, 11(8), 27-38.
Hair, J. F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021). Executing and interpreting applications of PLS-SEM: Updates for family business researchers. Journal of Family Business Strategy, 12(3), 100392
https://doi.org/10.1016/j.jfbs.2020.100392

Haji-Othman, Y., & Yusuff, M. S. S. (2022). Assessing reliability and validity of attitude construct using partial least squares structural equation modeling. Int J Acad Res Bus Soc Sci, 12(5), 378-385.
https://doi.org/10.6007/IJARBSS/v12-i5/13289

Haller, K., Glass, S., Wrong, C. K., & Cheung, J. (2018). What do Gen Z shoppers really want? IBM. Retrieved from: https://www.ibm.com/thought-leadership/institute-businessvalue/report/genzshoppers (Retrieved Date: August 3, 2021)

Ham, C.-D., Lee, J., & Lee, H.-S. (2014). Understanding consumers' creating behaviour in social media: an application of uses and gratifications and the theory of reasoned action. International Journal of Internet Marketing and Advertising, 8(4), 241-263.
https://doi.org/10.1504/IJIMA.2014.067652

He, S., Hollenbeck, B., & Proserpio, D. (2022). The market for fake reviews. Marketing Science, 41(5), 896-921.
https://doi.org/10.1287/mksc.2022.1353

Hunt, K. M. (2015). Gaming the system: Fake online reviews v. consumer law. Computer Law & Security Review, 31(1), 3-25.
https://doi.org/10.1016/j.clsr.2014.11.003

Ibrahim, M. A., & Shariff, M. N. M. (2016). Mediating role of access to finance on the relationship between strategic orientation attributes and SMEs performance in Nigeria. International Journal of Business and Society, 17(3). Islam, S., & Hossain, F. (2018). Constraints to small and medium-sized enterprises development in Bangladesh: Results from a cross-sectional study. The European Journal of Applied Economics, 15(2), 58-73.
https://doi.org/10.33736/ijbs.537.2016

Kauffmann, E., Peral, J., Gil, D., Ferrández, A., Sellers, R., & Mora, H. (2020). A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making. Industrial Marketing Management, 90, 523-537.
https://doi.org/10.1016/j.indmarman.2019.08.003

Kennedy, I. (2022). Sample size determination in test-retest and Cronbach alpha reliability estimates. British Journal of Contemporary Education, 2(1), 17-29.
https://doi.org/10.52589/BJCE-FY266HK9

Khan, S. K., Saeed, N., Feroz, M., Liaqaut, S., Khan, A., & Jabeen, Z. (2015). Impact of deceptive marketing on consumers behavior: A case of cellular industry of Pakistan. Journal of Marketing and Consumer Research, 18(1), 91-100.

Kolling, C., Ribeiro, J. L. D., & de Medeiros, J. F. (2022). Performance of the cosmetics industry from the perspective of Corporate Social Responsibility and Design for Sustainability. Sustainable Production and Consumption, 30, 171-185.
https://doi.org/10.1016/j.spc.2021.12.002

Kousheshi, M. R., Aali, S., Bafandeh Zendeh, A. R., & Iranzadeh, S. (2020). The antecedents and consequences of online relationship quality in internet purchases. Journal of Islamic Marketing, 11(1), 161-178.
https://doi.org/10.1108/JIMA-01-2019-0002

Krafft, J., & Saito, R. (2015). Greenwashing an experimental study about the effects of misleading and deceptive environmental claims in advertising.

Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2023). Artificial intelligence and blockchain integration in business: trends from a bibliometric-content analysis. Information Systems Frontiers, 25(2), 871-896.
https://doi.org/10.1007/s10796-022-10279-0

Lee, J., Ham, C.-D., & Kim, M. (2013). Why people pass along online video advertising: From the perspectives of the interpersonal communication motives scale and the theory of reasoned action. Journal of Interactive Advertising, 13(1), 1-13.
https://doi.org/10.1080/15252019.2013.768048

Lock, I., & Seele, P. (2015). Quantitative content analysis as a method for business ethics research. Business Ethics: A European Review, 24, S24-S40.
https://doi.org/10.1111/beer.12095

Majid, S., Lopez, C., Megicks, P., & Lim, W. M. (2019). Developing effective social media messages: Insights from an exploratory study of industry experts. Psychology & Marketing, 36(6), 551-564.
https://doi.org/10.1002/mar.21196

Martínez Otero, J. M. (2021). Fake reviews on online platforms: perspectives from the US, UK and EU legislations. SN Social Sciences, 1(7), 181.
https://doi.org/10.1007/s43545-021-00193-8

Masood, M., & Salman, M. (2023). The role of deceptive advertisements and ethical decision outcomes in determining buying behavior. The Business & Management Review, 14(2), 23-35.
https://doi.org/10.24052/BMR/V14NU02/ART-03

Matore, E. M., & Khairani, A. Z. (2020). The pattern of skewness and kurtosis using mean score and logit in measuring adversity quotient (AQ) for normality testing. International Journal of Future Generation Communication and Networking, 13(1), 688-702.

Maziriri, E. T., Nyagadza, B., Mabuyana, B., Rukuni, T. F., & Mapuranga, M. (2023). Marketing cereal to the generation Z cohort: what are the key drivers that stimulate consumer behavioural intentions in South Africa? Young Consumers, 24(5), 615-648.
https://doi.org/10.1108/YC-10-2022-1625

Miller, L., & Lu, W. (2018). Gen Z to outnumber millennials within a year. Bloomberg Quint. Retrieved from: https://www.bloombergquint.com/global-economics/gen-z-to-outnumber -millennials-within-a-year-demographic-trends (Retrieved Date: March 12, 2021)

Modi, V., & Sharma, P. (2021). Indian customers'perception & reaction to deceptive advertisements of hair care products. Gap Interdisciplinarities-A Global Journal of Interdisciplinary Studies, 4(1), 49-62.
https://doi.org/10.47968/gapin.42007

Narayanan, S. (2022). Does Generation Z value and reward corporate social responsibility practices? Journal of Marketing Management, 38(9-10), 903-937.
https://doi.org/10.1080/0267257X.2022.2070654

Navarro, J.G. (2024) Marketing Investment Worldwide, Statista. Available at: https://www.statista.com/topics/8954/marketing-worldwide/#topicOverview (Accessed: April 2024).

Newaz, N. (2017). The Impacts of Deceptive Advertising on Women Consumer. European Scientific Journal, ESJ, 13(35), 302. Nuseir, M. T. (2018). Impact of misleading/false advertisement to consumer behaviour. International Journal of Economics and Business Research, 16(4), 453-465.
https://doi.org/10.19044/esj.2017.v13n35p302

Ott, M., Cardie, C., & Hancock, J. (2012). Estimating the prevalence of deception in online review communities. Proceedings of the 21st International Conference on World Wide Web, 201-210.
https://doi.org/10.1145/2187836.2187864

Pandey, S., Chawla, D., & Puri, S. (2020). Cause-Related marketing: Exploring the differences between Gen Y and Gen Z in India. Social Business, 10(2), 172-191. https://doi.org/10.1362/ 204440820x15929907056634
https://doi.org/10.1362/204440820X15929907056634

Peacock, J. (2019). Overview of Global Copytrack and Image Theft, Copytrack Global Infringement Report. Available at: https://bapla.org.uk/wp-content/uploads/2019/04/190328_Global_Infringement_Report_2019_EN_Online.pdf (Accessed: March 2024).

Peng, L., Cui, G., Zhuang, M., & Li, C. (2016). Consumer perceptions of online review deceptions: an empirical study in China. Journal of Consumer Marketing, 33(4), 269-280.
https://doi.org/10.1108/JCM-01-2015-1281

Qureshi, M. T. M., & Gopal, K. (2023). The Impact of Unethical and False Advertising on Social Media Towards Consumer Buying Behaviour: An Examination Among Young Adults in Malaysia. International Journal of Business and Technology Management, 5(1), 124-139.

Ramos Salazar, L. (2017). Changing resistant audience attitudes using social judgment theory's "anchor" point perspectives. Communication Teacher, 31(2), 90-93.
https://doi.org/10.1080/17404622.2017.1285412

Rasheed, N. A., Baqir, N., & Ullah, S. (2024). Influence of Cosmetic Advertising on Purchasing Patterns: An Examination of Beauty Product Impact on Female University Students in Punjab. Pakistan Journal of Humanities and Social Sciences, 12(1), 348-357.
https://doi.org/10.52131/pjhss.2024.v12i1.2036

Rasoolimanesh, S. M. (2022). Discriminant validity assessment in PLS-SEM: A comprehensive composite-based approach. Data Analysis Perspectives Journal, 3(2), 1-8.

Román, S., Riquelme, I. P., & Iacobucci, D. (2019). Perceived deception in online consumer reviews: Antecedents, consequences, and moderators. In Marketing in a digital world (pp. 141-166). Emerald Publishing Limited.
https://doi.org/10.1108/S1548-643520190000016010

Russo, D., & Stol, K.-J. (2021). PLS-SEM for software engineering research: An introduction and survey. ACM Computing Surveys (CSUR), 54(4), 1-38.
https://doi.org/10.1145/3447580

Rynarzewska, A. I. (2019). It's not fake, it's biased: insights into morality of incentivized reviewers. Journal of Consumer Marketing, 36(3), 401-409.
https://doi.org/10.1108/JCM-02-2018-2570

Shrestha, N. (2020). Detecting multicollinearity in regression analysis. American Journal of Applied Mathematics and Statistics, 8(2), 39-42.
https://doi.org/10.12691/ajams-8-2-1

Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4-11.
https://doi.org/10.12691/ajams-9-1-2

Song, R., Kim, H., Lee, G. M., & Jang, S. (2019). Does deceptive marketing pay? The evolution of consumer sentiment surrounding a pseudo-product-harm crisis. Journal of Business Ethics, 158, 743-761. Spector, P. E. (2019). Do not cross me: Optimizing the use of cross-sectional designs. Journal of business and psychology, 34(2), 125-137.
https://doi.org/10.1007/s10551-017-3720-2

Statista (2023). Ad Fraud Rates by Country 2021, Statista, Available at: https://www.statista.com/statistics/778714/programmatic-ad-fraud-rates-worldwide-country/ (Accessed: December 2023).

Statista (2024) Ad Fraud, Statista. Available at: https://www.statista.com/topics/8503/ad-fraud/#topicOverview (Accessed: 3 April 2024).

Sun, Y., Leng, K., & Xiong, H. (2022). Research on the influencing factors of consumers' green purchase behavior in the post-pandemic era. Journal of Retailing and Consumer Services, 69, 103118.
https://doi.org/10.1016/j.jretconser.2022.103118

Taha, V. A., Skerhakova, V., Pencarelli, T., & Valentiny, T. (2018). Generational differences in CSR perception: focusing on Italian e-commerce market. https://www.researchgate.net/publication/338450460

Teng, S., Khong, K. W., & Goh, W. W. (2015). Persuasive communication: A study of major attitude-behavior theories in a social media context. Journal of Internet Commerce, 14(1), 42-64.
https://doi.org/10.1080/15332861.2015.1006515

Textor, C. & Statista (2023). Taiwan: Number of Copyright Law Violation Cases 2022, Statista, Available at: https://www.statista.com/statistics/937843/taiwan-number-copyright-law-violation-cases/ (Accessed: 25 December 2023).

Thomas, S., Bhatt, V., & Patel, R. (2024). Impact of skepticism on CRM luxury campaign participation intention of Generation Z. International Journal of Emerging Markets, 19(4), 964-988.
https://doi.org/10.1108/IJOEM-10-2021-1568

Toti, J.-F., Diallo, M. F., & Huaman-Ramirez, R. (2021). Ethical sensitivity in consumers' decision-making: The mediating and moderating role of internal locus of control. Journal of Business Research, 131, 168-182. Virdi, I. (2020). Impact of Perceived Deception on Consumer Behaviour: The Case of Detergent Powder. AIMS International Journal of Management, 14(1). Woodside, A. G. (2011). Responding to the severe limitations of cross-sectional surveys: Commenting on Rong and Wilkinson's perspectives. Australasian Marketing Journal, 19(3), 153-156.
https://doi.org/10.1016/j.jbusres.2021.03.045

Wu, Y., & Geylani, T. (2020). Regulating deceptive advertising: False claims and skeptical consumers. Marketing Science, 39(4), 788-806.
https://doi.org/10.1287/mksc.2020.1221

Wu, Y., Ngai, E. W. T., Wu, P., & Wu, C. (2020). Fake online reviews: Literature review, synthesis, and directions for future research. Decision Support Systems, 132, 113280. Zeng, N., Liu, Y., Gong, P., Hertogh, M., & König, M. (2021). Do right PLS and do PLS right: A critical review of the application of PLS-SEM in construction management research. Frontiers of Engineering Management, 8, 356-369.
https://doi.org/10.1007/s42524-021-0153-5