Q1 2020

A novel block chain technology publication model proposal

Amol Thakre · Fadi Thabtah · Seyed Reza Shahamiri · Suhel Hammoud
10.1016/j.aci.2019.10.003 387 المشاهدات 12 الاقتباسات
12
الاقتباسات
387
المشاهدات
الملخص

Bitcoin is among the highest rated digital crypto-currency in financial investment markets. This technology relies on a backbone of distributed data architecture and peer-to-peer networking model called Blockchain. Unlike the current digital economy, which is governed centrally by financial institution or governments, Blockchain is fully autonomous without any third-party involvement. The exorbitant success of Bitcoin has attracted investors, scholars as well as organizations to peek into this lucrative technology for the possible application to other areas apart from crypto-currency. Blockchain can adopt Smart Contracts, which are digitally enabled contracts that can be executed and enforced fully or partially using pre-defined notions. The aim of this research is to investigate the synergy between Smart Contract and Blockchain to propose a digital framework for an academic paper publication model that has the capability to automate the entire process and challenge the existing system. It can also bring together all the stakeholders under the same system. The proposed model can further hold the stakeholders accountable for breach of contracts and/or reward them for executing the successes of terms pre-configured in the Smart Contract. The proposed model, called Digital Smart Publication or DSP (as referred in the document), is highly secure and ensures balance in distributing rewards to the involved stakeholders while keeping data integrity and security as paramount features.

الاستشهاد بهذا المقال (APA)
Amol, T., Fadi, T., Seyed, R. S., Suhel, H. (2020). A novel block chain technology publication model proposal. Applied Computing and Informatics. https://doi.org/10.1016/j.aci.2019.10.003
أبحاث ذات صلة
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Aspect-based sentiment analysis using smart government review data
Omar Alqaryouti; Nur Siyam; Azza Abdel Monem; Khaled Shaalan · 2020
144
استشهاد
389
الوصول
عرض النص الكامل عبر DOI
نُشر في
الرقم الدولي ISSN 2634-1964
الربعية Q1
درجة المؤشر القياس العربي 87
التخصص Computer Science & AI
الناشر King Saud University / Emerald Publ
الدولة 🇸🇦 Saudi Arabia
عرض ملف المجلة →
المؤلفون
تفاصيل النشر
السنة 2020
اللغة English
أُضيف في 31 Jul 2026