Netizens' behavior towards a blockchain-based esports framework: a TPB and machine learning integrated approach

被引:0
|
作者
Yadav, Jitendra [1 ]
Misra, Madhvendra [1 ]
Rana, Nripendra P. [2 ]
Singh, Kuldeep [3 ]
Goundar, Sam [4 ]
机构
[1] Indian Inst Informat Technol Allahabad, Dept Management Studies, Allahabad, Uttar Pradesh, India
[2] Qatar Univ, Coll Business & Econ, Dept Management & Mkt, Doha, Qatar
[3] Koneru Lakshmaiah Educ Fdn, Dept Commerce, Guntur, Andhra Pradesh, India
[4] RMIT Univ, Hanoi, Vietnam
关键词
Blockchain; Consumer behavior; Esports; Machine learning; Predictive analysis; Reddit; Sentiment analysis; PLANNED BEHAVIOR; PHYSICAL-ACTIVITY; SELF-EFFICACY; TWITTER; SPORTS; TECHNOLOGY; ACCEPTANCE; TEACHERS; BELIEFS;
D O I
10.1108/IJSMS-06-2021-0130
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose Based on the concepts confined in Ajzen's theory of planned behavior (TPB), this study investigates users' attitudes towards adoption of a blockchain-based framework in the esports industry that proposes a scheme of rewarding stakeholders for their invested attention along with blockchain technology's inherent protocols. Design/methodology/approach The present study uses RStudio (Version 1.3.1093) package RedditExtractoR for scraping and analysis of the discussion referring to the keyword "Verasity" on the Reddit website. The final corpus of 1,913 user comments was considered for the study. Sentiment analysis was initially conducted to explore the semantic orientation of the users concerning Verasity. This was followed by generalized equation modeling to analyze the impact of social media attributed to the users' commenting behavior. Findings The study found that Redditors, in general, have a positive attitude towards the adoption of a blockchain-based esports platform. This was validated through the empirical findings. The regression model states that there is a significant positive impact of the positivity in the comments over the Redditors' attitude and in their commenting behavior. Originality/value This study offers a new understanding of key contributing attributes of sentiment formation over social media concerning a blockchain-based esports framework. The study also establishes an empirical relationship between the social media attributes and the commenting behavior of Redditors. Finally, the current study offers valuable insights into social media engagements and the selection of highly influential Redditors for practicing marketing managers.
引用
收藏
页码:665 / 683
页数:19
相关论文
共 50 条
  • [1] A Blockchain-Based Machine Learning Framework for Edge Services in IIoT
    Tian, Youliang
    Li, Ta
    Xiong, Jinbo
    Bhuiyan, Md Zakirul Alam
    Ma, Jianfeng
    Peng, Changgen
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (03) : 1918 - 1929
  • [2] Securing blockchain-based crowdfunding platforms: an integrated graph neural networks and machine learning approach
    Zkik, Karim
    Sebbar, Anass
    Fadi, Oumaima
    Kamble, Sachin
    Belhadi, Amine
    ELECTRONIC COMMERCE RESEARCH, 2024, 24 (01) : 497 - 533
  • [3] Securing blockchain-based crowdfunding platforms: an integrated graph neural networks and machine learning approach
    Karim Zkik
    Anass Sebbar
    Oumaima Fadi
    Sachin Kamble
    Amine Belhadi
    Electronic Commerce Research, 2024, 24 : 497 - 533
  • [4] A Machine Learning Approach for Blockchain-Based Smart Home Networks Security
    Khan, Muhammad Adnan
    Abbas, Sagheer
    Rehman, Abdur
    Saeed, Yousaf
    Zeb, Asim
    Uddin, M. Irfan
    Nasser, Nidal
    Ali, Asmaa
    IEEE NETWORK, 2021, 35 (03): : 223 - 229
  • [5] Towards Blockchain-Based Federated Machine Learning: Smart Contract for Model Inference
    Drungilas, Vaidotas
    Vaiciukynas, Evaldas
    Jurgelaitis, Mantas
    Butkiene, Rita
    Ceponiene, Lina
    APPLIED SCIENCES-BASEL, 2021, 11 (03): : 1 - 21
  • [6] On-chain behavior prediction Machine Learning model for blockchain-based crowdsourcing
    Kadadha, Maha
    Otrok, Hadi
    Mizouni, Rabeb
    Singh, Shakti
    Ouali, Anis
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 136 : 170 - 181
  • [7] On-chain behavior prediction Machine Learning model for blockchain-based crowdsourcing
    Kadadha, Maha
    Otrok, Hadi
    Mizouni, Rabeb
    Singh, Shakti
    Ouali, Anis
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 136 : 170 - 181
  • [8] A blockchain-based decentralized machine learning framework for collaborative intrusion detection within UAVs
    Khan, Ammar Ahmed
    Khan, Muhammad Mubashir
    Khan, Kashif Mehboob
    Arshad, Junaid
    Ahmad, Farhan
    COMPUTER NETWORKS, 2021, 196
  • [9] Integrated deep learning and blockchain-based framework for cloud manufacturing with improved customer satisfaction
    Ramshankar, N.
    Shathik, J. Anvar
    Raju, K.
    Murugesan, S.
    KNOWLEDGE AND INFORMATION SYSTEMS, 2025,
  • [10] FLoBC: A Decentralized Blockchain-Based Federated Learning Framework
    Ghanem, Mohamed
    Dawoud, Fadi
    Gamal, Habiba
    Soliman, Eslam
    El-Batt, Tamer
    El-Batt, Tamer
    2022 FOURTH INTERNATIONAL CONFERENCE ON BLOCKCHAIN COMPUTING AND APPLICATIONS (BCCA), 2022, : 85 - 92