Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Evaluation of blockchain business success factors using ahpopen access

Authors
Park S.Kim J.Oh D.Kim J.
Issue Date
2020
Publisher
Engg Journals Publications
Keywords
Analytic Hierarchy Process; Blockchain; Critical Success Factors; Multiple Criteria Decision Making
Citation
Indian Journal of Computer Science and Engineering, v.11, no.2, pp 99 - 111
Pages
13
Journal Title
Indian Journal of Computer Science and Engineering
Volume
11
Number
2
Start Page
99
End Page
111
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/44397
DOI
10.21817/indjcse/2020/v11i2/201102013
ISSN
0976-5166
2231-3850
Abstract
Blockchain is a distributed digital ledger technology that is used in various business fields to record and store transaction information. Additionally, blockchain provides its own method of verification. There is a need to establish a business model based on identified success factors for blockchain technology so this technology can thrive as a business tool. However, many companies have difficulty identifying the business success factors of blockchain technology. In this paper, we intend to provide a means of motivating blockchain technology development and user growth by analyzing the factors required for blockchain to be successful in business. Blockchain success factors for businesses were extracted from literature reviews and a survey of experts, professionals, and general users in related fields. We verified the survey results based on the consistency of responses using the analytic hierarchy process. The analysis results for the success factors of blockchain revealed that cryptography (0.2828), transparency (0.1244), and key management (0.1228) were selected as the main success factors. The analysis results for the critical success factors of blockchain identified in this study are expected to enable decision-makers to support sustainable business models and investment strategies. © 2020, Engg Journals Publications. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE