行动者在区块链采用决策中的作用--创新转化视角

IF 2.7 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Shipra Chhina, Mehmood A. Chadhar, Sally Firmin, Arthur Tatnall
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引用次数: 0

摘要

对区块链应用挑战的概述表明,人们对区块链应用决策过程知之甚少,包括在各个阶段谁需要参与和咨询。当系统被设计为有意保护隐私或模糊参与者(如区块链平台)时,要识别他们并了解他们的角色就很有挑战性。为此,我们采用了行动者网络理论(Actor-Network Theory,Latour,2007 年)中的 "创新转化 "方法,该方法关注人类和非人类行动者的角色。为了了解相关参与者之间的互动,我们采用德尔菲定性方法对区块链专家进行了多轮访谈。本研究的结果提出了一个框架,通过探索相关参与者及其在实施采用区块链战略和说服其他参与者时的角色,深入了解决策过程。研究成果将有助于区块链从业人员和研究人员了解采用前的决策和利益相关者的参与情况。考虑实施区块链的组织将从本研究中受益,因为他们将知道从哪里开始、让谁参与以及在决策过程中需要哪些利益相关者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Actors in Blockchain Adoption Decisions – An Innovation Translation Perspective
An overview of challenges around blockchain adoption has revealed that there is little understanding of the process of blockchain adoption decisions, including who needs to be involved and consulted at various stages. When systems are designed to intentionally protect privacy or to obscure actors, such as blockchain platforms, it can be challenging to identify them and to understand their roles. To do this we used an Innovation Translation approach from Actor-Network Theory (Latour, 2007) which looks at the roles of both human and non-human actors. To understand the interactions among the actors involved, multiple rounds of interviews were conducted with Blockchain experts, utilising the qualitative Delphi method. The findings of this study propose a framework that provides insight into the decision-process by exploring the actors involved and their roles as they implement strategies to adopt blockchain and to convince other actors. The outcomes will assist blockchain practitioners and researchers to have an understanding of pre-adoption decisions and stakeholder involvement. Organisations considering implementing blockchain will benefit from this research as they will know where to start, who to engage, and which stakeholders are needed during the decision-making process.
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来源期刊
Australasian Journal of Information Systems
Australasian Journal of Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
4.40
自引率
4.80%
发文量
20
审稿时长
20 weeks
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