什么是数字技术?基于目的的分类

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Marie-Sophie Baier, Stephan Berger, Thomas Kreuzer, Anna M. Oberländer, Maximilian Röglinger
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引用次数: 1

摘要

数字技术(DT)正在创造和塑造当今世界。建立在它的身份和技术研究的历史,信息系统学科是在理解的DT和相关现象的本质的最前沿。理解DT的本质需要理解它的目的。由于DTs的数量不断增加,这些目的正在多样化,需要进一步研究。为此,我们遵循了组织系统学范式,并提出了DT的分类理论,使其能够通过其不同的目的进行分类。分类理论包括一个多层分类的DT和目的相关的原型,这是我们从92个现实世界的DT样本推断出来的。在我们的实证评估中,我们评估了分类和原型的可靠性、有效性和有用性。该分类学理论超越了现有的技术分类,因为它是第一个(1)得到严格发展的,(2)考虑了DT的性质,(3)足够具体以反映DT的多种用途,(4)足够抽象以持久。我们的发现增加了关于DT的描述性知识,促进了我们对DT多样化目的的理解,并为进一步的理论化奠定了基础。我们的工作也支持从业者管理和设计DTs。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Makes Digital Technology? A Categorization Based on Purpose
Digital technology (DT) is creating and shaping today’s world. Building on its identity and history of technology research, the Information Systems discipline is at the forefront of understanding the nature of DT and related phenomena. Understanding the nature of DT requires understanding its purposes. Because of the growing number of DTs, these purposes are diversifying, and further examination is needed. To that end, we followed an organizational systematics paradigm and present a taxonomic theory for DT that enables its classification through its diverse purposes. The taxonomic theory comprises a multi-layer taxonomy of DT and purpose-related archetypes, which we inferred from a sample of 92 real-world DTs. In our empirical evaluation, we assessed the reliability, validity, and usefulness of the taxonomy and archetypes. The taxonomic theory exceeds existing technology classifications by being the first that (1) has been rigorously developed, (2) considers the nature of DT, (3) is sufficiently concrete to reflect the diverse purposes of DT, and (4) is sufficiently abstract to be persistent. Our findings add to the descriptive knowledge on DT, advance our understanding of the diverse purposes of DT, and lay the ground for further theorizing. Our work also supports practitioners in managing and designing DTs.
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来源期刊
Communications of the Association for Information Systems
Communications of the Association for Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.90
自引率
20.00%
发文量
35
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