IDEAS home Printed from https://ideas.repec.org/a/eee/ijrema/v37y2020i3p441-442.html
   My bibliography  Save this article

Introduction to the Special Section: Research for the New Normal

Author

Listed:
  • Kannan, P.K.

Abstract

No abstract is available for this item.

Suggested Citation

  • Kannan, P.K., 2020. "Introduction to the Special Section: Research for the New Normal," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 441-442.
    • Handle: RePEc:eee:ijrema:v:37:y:2020:i:3:p:441-442
    DOI: 10.1016/j.ijresmar.2020.08.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167811620300641
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijresmar.2020.08.006?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wedel, Michel & Bigné, Enrique & Zhang, Jie, 2020. "Virtual and augmented reality: Advancing research in consumer marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 443-465.
    2. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    3. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuting Cui & Raphael Lissillour & Juraj Chebeň & Drahoslav Lančarič & Chunlin Duan, 2022. "The position of financial prudence, social influence, and environmental satisfaction in the sustainable consumption behavioural model: Cross‐market intergenerational investigation during the Covid‐19 ," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 996-1020, July.

    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. 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.
    2. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents," Journal of Business Research, Elsevier, vol. 175(C).
    3. Ghosh, Sourav & Yadav, Sarita & Devi, Ambika & Thomas, Tiju, 2022. "Techno-economic understanding of Indian energy-storage market: A perspective on green materials-based supercapacitor technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    4. Poushneh, Atieh, 2021. "How close do we feel to virtual product to make a purchase decision? Impact of perceived proximity to virtual product and temporal purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    5. Stefan Hoffmann & Tom Joerß & Robert Mai & Payam Akbar, 2022. "Augmented reality-delivered product information at the point of sale: when information controllability backfires," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 743-776, July.
    6. Didier Laussel & Ngo Van Long & Joana Resende, 2023. "Profit Effects of Consumers’ Identity Management: A Dynamic Model," Management Science, INFORMS, vol. 69(6), pages 3602-3615, June.
    7. Renata Benigna Gonçalves & Júlio César Bastos Figueiredo, 2022. "Effects of perceived risks and benefits in the formation of the consumption privacy paradox: a study of the use of wearables in people practicing physical activities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1485-1499, September.
    8. Carlson, Keith & Kopalle, Praveen K. & Riddell, Allen & Rockmore, Daniel & Vana, Prasad, 2023. "Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 54-74.
    9. Justina Sidlauskiene & Yannick Joye & Vilte Auruskeviciene, 2023. "AI-based chatbots in conversational commerce and their effects on product and price perceptions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    10. Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
    11. Miikka Blomster & Timo Koivumäki, 2022. "Exploring the resources, competencies, and capabilities needed for successful machine learning projects in digital marketing," Information Systems and e-Business Management, Springer, vol. 20(1), pages 123-169, March.
    12. Sophie Hemker & Carolina Herrando & Efthymios Constantinides, 2021. "The Transformation of Data Marketing: How an Ethical Lens on Consumer Data Collection Shapes the Future of Marketing," Sustainability, MDPI, vol. 13(20), pages 1-13, October.
    13. Henrika Langen & Martin Huber, 2022. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," Papers 2204.10820, arXiv.org, revised Jun 2022.
    14. Daniela Corsaro & Isabella Maggioni & Mirko Olivieri, 2021. "Sales and marketing automation in the post-Covid-19 scenario: value drivers in B2B relationships," Italian Journal of Marketing, Springer, vol. 2021(4), pages 371-392, December.
    15. Manis, K.T. & Madhavaram, Sreedhar, 2023. "AI-Enabled marketing capabilities and the hierarchy of capabilities: Conceptualization, proposition development, and research avenues," Journal of Business Research, Elsevier, vol. 157(C).
    16. Vinay Singh & Brijesh Nanavati & Arpan Kumar Kar & Agam Gupta, 2023. "How to Maximize Clicks for Display Advertisement in Digital Marketing? A Reinforcement Learning Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1621-1638, August.
    17. 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.
    18. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
    19. Scholdra, Thomas P. & Wichmann, Julian R.K. & Reinartz, Werner J., 2023. "Reimagining personalization in the physical store," Journal of Retailing, Elsevier, vol. 99(4), pages 563-579.
    20. Karim Darban & Smail Kabbaj & Mostafa El Jay, 2023. "The Transformative Potential of AI in Green Marketing Strategies," Post-Print hal-04523586, HAL.

    More about this item

    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:eee:ijrema:v:37:y:2020:i:3:p:441-442. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-research-in-marketing/ .

    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.