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Blockchain technology for creative industries: Current state and research opportunities

Author

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  • Malik, Nikhil
  • Wei, Yanhao Max
  • Appel, Gil
  • Luo, Lan

Abstract

Blockchain based NFTs (non-fungible tokens) and smart contracts provide creative industries with exciting opportunities. While they have created a great deal of frenzy in markets, in the frenzy there emerges real value for the industries. Traditionally, creators in the creative industries often need to rely on powerful intermediaries to distribute and profit from their creations. NFT and smart contracts provide creators much closer access to content consumers/buyers. Along this line of thought, this article provides marketing researchers with an overview of the unfolding adoption of NFTs and smart contracts in creative industries. We start by pointing out the market frictions and consequent “transaction costs” that creators face traditionally when distributing their creative content to consumers/buyers. Then, we present the basic ideas of smart contracts and NFTs, discussing how they can transform the market by reducing these transaction costs. Meanwhile, we point out limitations and challenges that creators, buyers, and marketplaces might face in the adoption of NFTs and smart contracts. Finally, we raise an abundance of unexplored research questions interesting to both marketing researchers and practitioners.

Suggested Citation

  • Malik, Nikhil & Wei, Yanhao Max & Appel, Gil & Luo, Lan, 2023. "Blockchain technology for creative industries: Current state and research opportunities," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 38-48.
  • Handle: RePEc:eee:ijrema:v:40:y:2023:i:1:p:38-48
    DOI: 10.1016/j.ijresmar.2022.07.004
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    References listed on IDEAS

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    1. Levy, Daniel & Bergen, Mark & Dutta, Shantanu & Venable, Robert, 1997. "The Magnitude of Menu Costs: Direct Evidence from Large U.S. Supermarket Chains," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 112(3), pages 791-824.
    2. Matthieu Nadini & Laura Alessandretti & Flavio Di Giacinto & Mauro Martino & Luca Maria Aiello & Andrea Baronchelli, 2021. "Mapping the NFT revolution: market trends, trade networks and visual features," Papers 2106.00647, arXiv.org, revised Sep 2021.
    3. Yanhao Max Wei, 2020. "The Similarity Network of Motion Pictures," Management Science, INFORMS, vol. 66(4), pages 1647-1671, April.
    4. Yanhao (Max) Wei & Anthony Dukes, 2021. "Cryptocurrency Adoption with Speculative Price Bubbles," Marketing Science, INFORMS, vol. 40(2), pages 241-260, March.
    5. Lin William Cong & Ye Li & Neng Wang, 2021. "Tokenomics: Dynamic Adoption and Valuation [The demand of liquid assets with uncertain lumpy expenditures]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1105-1155.
    6. Gur Huberman & Jacob D Leshno & Ciamac Moallemi, 2021. "Monopoly without a Monopolist: An Economic Analysis of the Bitcoin Payment System [Blockchain Economics]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 3011-3040.
    7. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.
    8. Quan Wang & Beibei Li & Param Vir Singh, 2018. "Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis," Information Systems Research, INFORMS, vol. 29(2), pages 273-291, June.
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    Cited by:

    1. Dulani Jayasuriya & Alexandra Sims, 2023. "Not So New Kid on the Block: Accounting and Valuation Aspects of Non-Fungible Tokens (NFTs)," JRFM, MDPI, vol. 16(11), pages 1-24, October.

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