IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v16y2024i5p178-d1397977.html
   My bibliography  Save this article

Validation of Value-Driven Token Economy: Focus on Blockchain Content Platform

Author

Listed:
  • Young Sook Kim

    (Seoul Business School, aSSIST University, Seoul 03767, Republic of Korea
    Department of Business, Franklin University Switzerland, 6924 Sorengo, Switzerland)

  • Seng-Phil Hong

    (School of AI, aSSIST University, Seoul 03767, Republic of Korea)

  • Marko Majer

    (Department of Business, Franklin University Switzerland, 6924 Sorengo, Switzerland)

Abstract

This study explores the architectural framework of a value-driven token economy on a blockchain content platform and critically evaluates the relationship between blockchain’s decentralization and sustainable economic practices. The existing literature often glorifies the rapid market expansion of cryptocurrencies but overlooks how underlying blockchain technology can fundamentally enhance content platforms through a more structured user engagement and equitable reward system. This study proposes a new token economy architecture by adopting the triple-bottom -line (TBL) framework and validates its practicality and effectiveness through an analytic-hierarchy-process (AHP) survey of industry experts. The study shows that the most influential factor in a successful token economy is not profit maximization but fostering a user-centric community where engagement and empowerment are prioritized. This shift can be expected to combine blockchain technology with meaningful economic innovation by challenging traditional profit-driven business models and refocusing on sustainability and user value.

Suggested Citation

  • Young Sook Kim & Seng-Phil Hong & Marko Majer, 2024. "Validation of Value-Driven Token Economy: Focus on Blockchain Content Platform," Future Internet, MDPI, vol. 16(5), pages 1-27, May.
  • Handle: RePEc:gam:jftint:v:16:y:2024:i:5:p:178-:d:1397977
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/16/5/178/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/16/5/178/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    2. Cong, Lin William & Li, Ye & Wang, Neng, 2022. "Token-based platform finance," Journal of Financial Economics, Elsevier, vol. 144(3), pages 972-991.
    3. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    4. Madjid Tavana & Mehdi Soltanifar & Francisco J. Santos-Arteaga, 2023. "Analytical hierarchy process: revolution and evolution," Annals of Operations Research, Springer, vol. 326(2), pages 879-907, July.
    5. Son, Dong-Hoon & Yang, Hai, 2024. "Strategic use of fare-reward schemes in a ride-sourcing market: An equilibrium analysis," Transport Policy, Elsevier, vol. 146(C), pages 255-278.
    6. Zhan, Yuanzhu & Xiong, Yu & Xing, Xinjie, 2023. "A conceptual model and case study of blockchain-enabled social media platform," Technovation, Elsevier, vol. 119(C).
    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. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    2. Baghersad, Milad & Zobel, Christopher W., 2015. "Economic impact of production bottlenecks caused by disasters impacting interdependent industry sectors," International Journal of Production Economics, Elsevier, vol. 168(C), pages 71-80.
    3. Aniruddh Nain & Deepika Jain & Shivam Gupta & Ashwani Kumar, 2023. "Improving First Responders' Effectiveness in Post-Disaster Scenarios Through a Hybrid Framework for Damage Assessment and Prioritization," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 409-437, September.
    4. Gerda Ana Melnik-Leroy & Gintautas Dzemyda, 2021. "How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases," Mathematics, MDPI, vol. 9(2), pages 1-25, January.
    5. Kang Xu & Jiuping Xu, 2020. "A direct consistency test and improvement method for the analytic hierarchy process," Fuzzy Optimization and Decision Making, Springer, vol. 19(3), pages 359-388, September.
    6. Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2016. "Wind farm siting using a spatial Analytic Hierarchy Process approach: A case study of the Städteregion Aachen," Applied Energy, Elsevier, vol. 163(C), pages 222-243.
    7. Manolan Kandy, D. & Mörtberg, U. & Wretling, V. & Kuhlefelt, A. & Byström, G. & Polatidis, H. & Barney, A. & Balfors, B., 2024. "Spatial multicriteria framework for sustainable wind-farm planning – Accounting for conflicts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    8. Jalao, Eugene Rex & Wu, Teresa & Shunk, Dan, 2014. "An intelligent decomposition of pairwise comparison matrices for large-scale decisions," European Journal of Operational Research, Elsevier, vol. 238(1), pages 270-280.
    9. Saaty, Thomas L. & Shang, Jennifer S., 2011. "An innovative orders-of-magnitude approach to AHP-based mutli-criteria decision making: Prioritizing divergent intangible humane acts," European Journal of Operational Research, Elsevier, vol. 214(3), pages 703-715, November.
    10. Antonella Basso & Stefania Funari, 2020. "A three-system approach that integrates DEA, BSC, and AHP for museum evaluation," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 413-441, December.
    11. Alharasees, Omar & Kale, Utku, 2024. "Aviation Operators’ Total Loads Analysis by Multi-Criteria Decision-Making," Journal of Air Transport Management, Elsevier, vol. 118(C).
    12. Kilic, Bilal & Ucler, Caglar, 2019. "Stress among ab-initio pilots: A model of contributing factors by AHP," Journal of Air Transport Management, Elsevier, vol. 80(C), pages 1-1.
    13. Milad Bagheri & Zelina Zaiton Ibrahim & Mohd Fadzil Akhir & Wan Izatul Asma Wan Talaat & Bahareh Oryani & Shahabaldin Rezania & Isabelle D. Wolf & Amin Beiranvand Pour, 2021. "Developing a Climate Change Vulnerability Index for Coastal City Sustainability, Mitigation, and Adaptation: A Case Study of Kuala Terengganu, Malaysia," Land, MDPI, vol. 10(11), pages 1-27, November.
    14. Andrés Calizaya & Oliver Meixner & Lars Bengtsson & Ronny Berndtsson, 2010. "Multi-criteria Decision Analysis (MCDA) for Integrated Water Resources Management (IWRM) in the Lake Poopo Basin, Bolivia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2267-2289, August.
    15. Nermin Kişi, 2019. "A Strategic Approach to Sustainable Tourism Development Using the A’WOT Hybrid Method: A Case Study of Zonguldak, Turkey," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    16. Zhu, Bin & Xu, Zeshui & Zhang, Ren & Hong, Mei, 2016. "Hesitant analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 250(2), pages 602-614.
    17. AlSabbagh, Maha & Siu, Yim Ling & Guehnemann, Astrid & Barrett, John, 2017. "Integrated approach to the assessment of CO2e-mitigation measures for the road passenger transport sector in Bahrain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 203-215.
    18. Wen‐Hsien Tsai & Yu‐Wei Chou & Kuen‐Chang Lee & Wan‐Rung Lin & Elliott T.Y. Hwang, 2013. "Combining Decision Making Trial and Evaluation Laboratory with Analytic Network Process to Perform an Investigation of Information Technology Auditing and Risk Control in an Enterprise Resource Planni," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(2), pages 176-193, March.
    19. Klaus D. Goepel, 2019. "Comparison of Judgment Scales of the Analytical Hierarchy Process — A New Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 445-463, March.
    20. Ting Kuo & Ming-Hui Chen, 2022. "On Indeterminacy of Interval Multiplicative Pairwise Comparison Matrix," Mathematics, MDPI, vol. 10(4), pages 1-18, February.

    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:gam:jftint:v:16:y:2024:i:5:p:178-:d:1397977. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.