Blockchain Adoption in Operations Management: A Systematic Literature Review of 14 Years of Research

Q1 Decision Sciences

Annals of Data Science Pub Date : 2023-12-16 DOI:10.1007/s40745-023-00505-0

Mansoureh Beheshti Nejad, Seyed Mahmoud Zanjirchi, Seyed Mojtaba Hosseini Bamakan, Negar Jalilian

{"title":"Blockchain Adoption in Operations Management: A Systematic Literature Review of 14 Years of Research","authors":"Mansoureh Beheshti Nejad, Seyed Mahmoud Zanjirchi, Seyed Mojtaba Hosseini Bamakan, Negar Jalilian","doi":"10.1007/s40745-023-00505-0","DOIUrl":null,"url":null,"abstract":"<div><p>Blockchain technology has ushered in significant technological disruptions within the operational management sphere, fostering value creation within operational management networks. In recent years, researchers have increasingly explored the potential applications of blockchain across diverse facets of operational management. Recognizing the pivotal role of comprehending prior research endeavors within any scientific domain for the development of a robust theoretical framework and a nuanced understanding of research progression in both the scientific realm and its practical applications, this study aims to identify areas where blockchain can be effectively employed. This objective is accomplished through an exhaustive systematic review of existing research on blockchain applications in the field of operations management. In pursuit of this goal, a comprehensive dataset comprising 9188 papers published up to the year 2020 is amassed and subjected to analysis employing life cycle analysis, bibliometrics, and textual analysis. The outcomes of this research elucidate the emergence of five distinctive clusters within the landscape of blockchain applications in operational management: Decentralized Finance, Traceability, Trust, Sustainability, and Information Sharing. These findings underscore the dynamic and evolving nature of blockchain’s impact in this domain.</p></div>","PeriodicalId":36280,"journal":{"name":"Annals of Data Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Data Science","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s40745-023-00505-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Decision Sciences","Score":null,"Total":0}

引用次数: 0

Abstract

Blockchain technology has ushered in significant technological disruptions within the operational management sphere, fostering value creation within operational management networks. In recent years, researchers have increasingly explored the potential applications of blockchain across diverse facets of operational management. Recognizing the pivotal role of comprehending prior research endeavors within any scientific domain for the development of a robust theoretical framework and a nuanced understanding of research progression in both the scientific realm and its practical applications, this study aims to identify areas where blockchain can be effectively employed. This objective is accomplished through an exhaustive systematic review of existing research on blockchain applications in the field of operations management. In pursuit of this goal, a comprehensive dataset comprising 9188 papers published up to the year 2020 is amassed and subjected to analysis employing life cycle analysis, bibliometrics, and textual analysis. The outcomes of this research elucidate the emergence of five distinctive clusters within the landscape of blockchain applications in operational management: Decentralized Finance, Traceability, Trust, Sustainability, and Information Sharing. These findings underscore the dynamic and evolving nature of blockchain’s impact in this domain.

Abstract Image

查看原文本刊更多论文

运营管理中的区块链应用：14 年研究的系统文献综述

区块链技术为运营管理领域带来了重大技术变革，促进了运营管理网络的价值创造。近年来，研究人员越来越多地探索区块链在运营管理各方面的潜在应用。本研究认识到，在任何科学领域中，理解先前的研究工作对于建立健全的理论框架和细致入微地了解科学领域及其实际应用中的研究进展具有关键作用，因此本研究旨在确定可以有效应用区块链的领域。为实现这一目标，我们对运营管理领域区块链应用的现有研究进行了详尽的系统回顾。为实现这一目标，本研究收集了截至 2020 年发表的 9188 篇论文组成的综合数据集，并采用生命周期分析、文献计量学和文本分析等方法对其进行了分析。这项研究的成果阐明了区块链在运营管理领域应用的五个独特集群：去中心化金融、可追溯性、信任、可持续性和信息共享。这些发现强调了区块链对该领域影响的动态性和演变性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Annals of Data Science Decision Sciences-Statistics, Probability and Uncertainty

CiteScore

6.50

自引率

0.00%

发文量

期刊介绍： Annals of Data Science (ADS) publishes cutting-edge research findings, experimental results and case studies of data science. Although Data Science is regarded as an interdisciplinary field of using mathematics, statistics, databases, data mining, high-performance computing, knowledge management and virtualization to discover knowledge from Big Data, it should have its own scientific contents, such as axioms, laws and rules, which are fundamentally important for experts in different fields to explore their own interests from Big Data. ADS encourages contributors to address such challenging problems at this exchange platform. At present, how to discover knowledge from heterogeneous data under Big Data environment needs to be addressed. ADS is a series of volumes edited by either the editorial office or guest editors. Guest editors will be responsible for call-for-papers and the review process for high-quality contributions in their volumes.