IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04194438.html
   My bibliography  Save this paper

Advancing algorithmic bias management capabilities in AI-driven marketing analytics research

Author

Listed:
  • Shahriar Akter

    (University of Wollongong [Australia])

  • Saida Sultana

    (University of Wollongong [Australia])

  • Marcello Mariani

    (Henley Business School [University of Reading] - UOR - University of Reading, UNIBO - Alma Mater Studiorum Università di Bologna = University of Bologna)

  • Samuel Fosso Wamba

    (TBS - Toulouse Business School)

  • Konstantina Spanaki

    (Audencia Business School)

  • Yogesh Dwivedi

    (School of Management [Swansea] - Swansea University, SIBM - Symbiosis Institute of Business Management Pune)

Abstract

No abstract is available for this item.

Suggested Citation

  • Shahriar Akter & Saida Sultana & Marcello Mariani & Samuel Fosso Wamba & Konstantina Spanaki & Yogesh Dwivedi, 2023. "Advancing algorithmic bias management capabilities in AI-driven marketing analytics research," Post-Print hal-04194438, HAL.
    • Handle: RePEc:hal:journl:hal-04194438
    DOI: 10.1016/j.indmarman.2023.08.013
    Note: View the original document on HAL open archive server: https://audencia.hal.science/hal-04194438
    as

    Download full text from publisher

    File URL: https://audencia.hal.science/hal-04194438/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.indmarman.2023.08.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vermeer, Susan A.M. & Araujo, Theo & Bernritter, Stefan F. & van Noort, Guda, 2019. "Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic word-of-mouth in social media," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 492-508.
    2. Kirsten Martin, 2019. "Ethical Implications and Accountability of Algorithms," Journal of Business Ethics, Springer, vol. 160(4), pages 835-850, December.
    3. Sangkil Moon & Dawn Iacobucci, 2022. "Social Media Analytics and Its Applications in Marketing," Foundations and Trends(R) in Marketing, now publishers, vol. 15(4), pages 213-292, March.
    4. Robert Fairlie & Alicia Robb & David T. Robinson, 2022. "Black and White: Access to Capital Among Minority-Owned Start-ups," Management Science, INFORMS, vol. 68(4), pages 2377-2400, April.
    5. Libai, Barak & Bart, Yakov & Gensler, Sonja & Hofacker, Charles F. & Kaplan, Andreas & Kötterheinrich, Kim & Kroll, Eike Benjamin, 2020. "Brave New World? On AI and the Management of Customer Relationships," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 44-56.
    6. Yi-Chun Ou & Peter C. Verhoef & Thorsten Wiesel, 2017. "The effects of customer equity drivers on loyalty across services industries and firms," Journal of the Academy of Marketing Science, Springer, vol. 45(3), pages 336-356, May.
    7. John Hulland & Hans Baumgartner & Keith Marion Smith, 2018. "Marketing survey research best practices: evidence and recommendations from a review of JAMS articles," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 92-108, January.
    8. Maurizio Zollo & Sidney G. Winter, 2002. "Deliberate Learning and the Evolution of Dynamic Capabilities," Organization Science, INFORMS, vol. 13(3), pages 339-351, June.
    9. Sipior, Janice C., 2020. "Considerations for development and use of AI in response to COVID-19," International Journal of Information Management, Elsevier, vol. 55(C).
    10. Trainor, Kevin J. & Andzulis, James (Mick) & Rapp, Adam & Agnihotri, Raj, 2014. "Social media technology usage and customer relationship performance: A capabilities-based examination of social CRM," Journal of Business Research, Elsevier, vol. 67(6), pages 1201-1208.
    11. Christian F. Durach & Joakim Kembro & Andreas Wieland, 2017. "A New Paradigm for Systematic Literature Reviews in Supply Chain Management," Journal of Supply Chain Management, Institute for Supply Management, vol. 53(4), pages 67-85, October.
    12. Kim, Angella J. & Ko, Eunju, 2012. "Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand," Journal of Business Research, Elsevier, vol. 65(10), pages 1480-1486.
    13. 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.
    14. Elia, Stefano & Giuffrida, Maria & Mariani, Marcello M. & Bresciani, Stefano, 2021. "Resources and digital export: An RBV perspective on the role of digital technologies and capabilities in cross-border e-commerce," Journal of Business Research, Elsevier, vol. 132(C), pages 158-169.
    15. Kathrin Hartmann & Georg Wenzelburger, 2021. "Uncertainty, risk and the use of algorithms in policy decisions: a case study on criminal justice in the USA," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(2), pages 269-287, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ghouri, Arsalan Mujahid & Mani, Venkatesh & Haq, Mirza Amin ul & Kamble, Sachin S., 2022. "The micro foundations of social media use: Artificial intelligence integrated routine model," Journal of Business Research, Elsevier, vol. 144(C), pages 80-92.
    2. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata, 2021. "Why doesn't our value creation payoff: Unpacking customer analytics-driven value creation capability to sustain competitive advantage," Journal of Business Research, Elsevier, vol. 131(C), pages 287-296.
    3. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
    4. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2022. "AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system," Journal of Business Research, Elsevier, vol. 150(C), pages 437-450.
    5. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
    6. Dominik M. Wielgos & Christian Homburg & Christina Kuehnl, 2021. "Digital business capability: its impact on firm and customer performance," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 762-789, July.
    7. Li, Chia-Ying & Zhang, Jin-Ting, 2023. "Chatbots or me? Consumers’ switching between human agents and conversational agents," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    8. Ho, Mia Hsiao-Wen & Chung, Henry F.L., 2020. "Customer engagement, customer equity and repurchase intention in mobile apps," Journal of Business Research, Elsevier, vol. 121(C), pages 13-21.
    9. Mari, Alex & Mandelli, Andreina & Algesheimer, René, 2024. "Empathic voice assistants: Enhancing consumer responses in voice commerce," Journal of Business Research, Elsevier, vol. 175(C).
    10. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    11. Chenfeng Yan & Quan Chen & Xinyue Zhou & Xin Dai & Zhilin Yang, 2024. "When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer’s Unfavorable Ethicality Inferences of the Company," Journal of Business Ethics, Springer, vol. 190(4), pages 841-859, April.
    12. Rahman, Muhammad Sabbir & Bag, Surajit & Hossain, Md Afnan & Abdel Fattah, Fadi Abdel Muniem & Gani, Mohammad Osman & Rana, Nripendra P., 2023. "The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    13. Chiou, Wan-Jiun Paul & Knewtson, Heather S. & Nofsinger, John R., 2019. "Paying attention to social media stocks," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 106-119.
    14. Akter, Shahriar & Hossain, Md Afnan & Sajib, Shahriar & Sultana, Saida & Rahman, Mahfuzur & Vrontis, Demetris & McCarthy, Grace, 2023. "A framework for AI-powered service innovation capability: Review and agenda for future research," Technovation, Elsevier, vol. 125(C).
    15. Shakeel ul Rehman & Rafia Gulzar & Wajeeha Aslam, 2022. "Developing the Integrated Marketing Communication (IMC) through Social Media (SM): The Modern Marketing Communication Approach," SAGE Open, , vol. 12(2), pages 21582440221, May.
    16. Andrea Mauro & Andrea Sestino & Andrea Bacconi, 2022. "Machine learning and artificial intelligence use in marketing: a general taxonomy," Italian Journal of Marketing, Springer, vol. 2022(4), pages 439-457, December.
    17. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
    18. Marino-Romero, Jorge Alberto & Palos-Sánchez, Pedro R. & Velicia-Martín, Félix, 2024. "Evolution of digital transformation in SMEs management through a bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    19. Arora, Anuja & Srivastava, Aman & Bansal, Shivam, 2020. "Business competitive analysis using promoted post detection on social media," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    20. Ferdi Sönmez, 2018. "Technology Acceptance of Business Intelligence and Customer Relationship Management Systems within Institutions Operating in Capital Markets," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(2), pages 400-422, February.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hal:journl:hal-04194438. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.