Implementing trades of the National Football League Draft on blockchain smart contracts

Author:

Fukuzawa Mathew B.ORCID,McConnell Brandon M.ORCID,Kay Michael G.ORCID,Thoney-Barletta Kristin A.ORCID,Warsing Donald P.ORCID

Abstract

PurposeDemonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts.Design/methodology/approachUsing Ethereum smart contracts, the authors model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results.FindingsThe authors show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally.Research limitations/implicationsFurther work is required to incorporate the full-scale depth required to integrate the draft trading process into a decentralized user platform and experience.Practical implicationsCutting time for the trade negotiation process buys decision time for team decision-makers. Gains are also made with accuracy and cost.Social implicationsFull-scale adoption may find resistance due to the level of fan involvement; the draft has evolved into an interactive experience for both fans and teams.Originality/valueThis research demonstrates the new application of smart contracts in the inter-section of sports management and blockchain technology.

Publisher

Emerald

Reference124 articles.

1. A smart contract system for security of payment of construction contracts;Automation in Construction,2020

2. The theory of planned behavior;Organizational Behavior and Human Decision Processes,1991

3. Alchemy (2022), “Learn Solidity: what is a reentrancy attack?”, available at: https://www.alchemy.com/overviews/reentrancy-attack-solidity (accessed 11 January 2023).

4. Guest editorial: sport management, marketing and innovation;International Journal of Sports Marketing and Sponsorship,2022

5. Associated Press (2011), “Bears sorry for trade mess, but Ravens reportedly want a pick”, available at: https://www.nfl.com/news/bears-sorry-for-trade-mess-but-ravens-reportedly-want-a-pick-09000d5d81f9116e (accessed 1 December 2022).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3