IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i3p3391-3402id7249.html
   My bibliography  Save this article

Water conservation campaigns reimagined: The moderating influence of generative artificial intelligence on brand storytelling

Author

Listed:
  • Nikhil Dhananjay Thakare
  • Tripti Dhote
  • Tarun Madan Kanade

Abstract

The global water scarcity crisis remains a pressing challenge that requires not only technical interventions but also widespread behavioral changes. Effective communication strategies, such as brand storytelling, have gained prominence for their ability to emotionally and cognitively engage audiences in sustainability efforts. Simultaneously, Generative Artificial Intelligence (GenAI) is transforming digital communication by enabling businesses to craft personalized and scalable narratives. This evolving landscape opens new opportunities to enhance consumer engagement in environmental initiatives. This study aims to investigate the impact of brand storytelling on consumer engagement in water conservation programs, with a specific focus on the moderating role of GenAI in this relationship. It seeks to compare consumer responses to traditional brand storytelling versus GenAI-enhanced narratives in terms of engagement, emotional involvement, perceived authenticity, and behavioral intent. Primary data were collected through an online survey comprising structured Likert-scale questions, administered via online forms. Participants were equally divided between the two advertisement groups. Data analysis employed independent samples t-tests, moderation analysis using Hayes' PROCESS macro, and reliability testing through Cronbach's Alpha. Descriptive statistics supported the analytical framework. Preliminary expectations suggest that GenAI-enhanced storytelling will significantly outperform traditional methods, leading to higher levels of customer engagement, emotional connection, perceived authenticity, and intent to participate in water conservation behaviors. The research adheres to all ethical standards, including informed consent and participant anonymity. This study contributes to understanding the synergistic potential of brand storytelling and AI-driven personalization in promoting digital marketing effectiveness and environmental communication. The findings are expected to inform lawmakers, environmental organizations, and marketers in designing more impactful sustainability campaigns and fostering greater public participation in conservation initiatives through digital technologies.

Suggested Citation

  • Nikhil Dhananjay Thakare & Tripti Dhote & Tarun Madan Kanade, 2025. "Water conservation campaigns reimagined: The moderating influence of generative artificial intelligence on brand storytelling," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(3), pages 3391-3402.
  • Handle: RePEc:aac:ijirss:v:8:y:2025:i:3:p:3391-3402:id:7249
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/7249/1522
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aac:ijirss:v:8:y:2025:i:3:p:3391-3402:id:7249. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.