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Educating Brands? How Integrating Behavioural Insights, Influential Marketing and Consumer Decision-Making Can Elevate Consumer Literacy in Fashion Branding

Author

Listed:
  • Ania A Drzewiecka

    (Heriot-Watt University, School of Textiles and Design, Scotland, UK)

  • Amelia Allan

    (Heriot-Watt University, School of Textiles and Design, Scotland, UK)

Abstract

This study delves into the influence of behavioural insights and marketing techniques on fashion consumer decision-making. It strategically identifies core behavioural elements, assesses their application in marketing, and examines consumer perceptions. Understanding and leveraging these insights enables businesses to effectively tailor their marketing efforts to resonate with their target audience. The reviewed literature provides a comprehensive integration of research from marketing, psychology, and behavioural science. The research methodology involves a qualitative survey encompassing 197 fashion consumers, as well as interviews with a psychologist and a digital merchandiser. Through this approach, the study sheds light on the impact of emotional factors, cognitive biases, social influence, and personality on decision-making. These findings illustrate how marketing strategies utilize these insights to influence consumer perceptions, attitudes, and behaviours. The study highlights the utilization of AI technology to target consumers based on behavioural data, with potential implications for transforming market research. Furthermore, it emphasizes the necessity of an interdisciplinary approach to comprehensively understand fashion consumer behaviour, given that self-reported data may not fully represent actual behaviours. The outcomes of this study not only validate existing research but also contribute to a more holistic understanding of fashion consumer behaviour. Future research initiatives could explore demographic variables, levels of fashion involvement, and cross-cultural comparisons. Moreover, combining self-reported data with objective measures promises to provide deeper insights into the subconscious factors that influence decision-making.

Suggested Citation

  • Ania A Drzewiecka & Amelia Allan, 2024. "Educating Brands? How Integrating Behavioural Insights, Influential Marketing and Consumer Decision-Making Can Elevate Consumer Literacy in Fashion Branding," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(9), pages 726-744, September.
  • Handle: RePEc:bcp:journl:v:8:y:2024:i:9:p:726-744
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    References listed on IDEAS

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    1. Koch, Oliver Francis & Benlian, Alexander, 2015. "Promotional Tactics for Online Viral Marketing Campaigns: How Scarcity and Personalization Affect Seed Stage Referrals," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 76494, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Wilfred Amaldoss & Sanjay Jain, 2005. "Conspicuous Consumption and Sophisticated Thinking," Management Science, INFORMS, vol. 51(10), pages 1449-1466, October.
    3. Alina Stankevich, 2017. "Explaining the Consumer Decision-Making Process: Critical Literature Review," Journal of International Business Research and Marketing, Inovatus Services Ltd., vol. 2(6), pages 7-14, September.
    4. Inman, J Jeffrey & Peter, Anil C & Raghubir, Priya, 1997. "Framing the Deal: The Role of Restrictions in Accentuating Deal Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(1), pages 68-79, June.
    5. Jan Trzaskowski, 2011. "Behavioural Economics, Neuroscience, and the Unfair Commercial Practises Directive," Journal of Consumer Policy, Springer, vol. 34(3), pages 377-392, September.
    6. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    7. Reisch, Lucia A. & Zhao, Min, 2017. "Behavioural economics, consumer behaviour and consumer policy: state of the art," Behavioural Public Policy, Cambridge University Press, vol. 1(2), pages 190-206, November.
    8. Dezhi Yin & Sabyasachi Mitra & Han Zhang, 2016. "Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth," Information Systems Research, INFORMS, vol. 27(1), pages 131-144, March.
    9. Selin Atalay & Margaret G. Meloy, 2011. "Retail therapy: A strategic effort to improve mood," Post-Print hal-00596836, HAL.
    10. Gerring, John, 2004. "What Is a Case Study and What Is It Good for?," American Political Science Review, Cambridge University Press, vol. 98(2), pages 341-354, May.
    11. Koch, Oliver Francis & Benlian, Alexander, 2015. "Promotional Tactics for Online Viral Marketing Campaigns: How Scarcity and Personalization Affect Seed Stage Referrals," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75347, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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