概念化
计算机科学
数字化转型
群众
数据科学
背景(考古学)
转化(遗传学)
操作化
卡片分类
可比性
知识管理
管理科学
人工智能
认识论
系统工程
万维网
工程类
数学
任务(项目管理)
哲学
古生物学
化学
生物
组合数学
生物化学
基因
作者
Manuel Mühlburger,Barbara Krumay
标识
DOI:10.1177/02683962231219514
摘要
Digital transformation is a phenomenon perceived across a multitude of contexts in the organisational societal and individual domains. Conceptualising this broad phenomenon requires an approach that provides structure and comparability across contexts and domains whilst containing sufficient contextual detail and specificity to avoid conceptual stretching. Utilising a multi-method approach, this paper draws from a set of empirical data to develop such a context-sensitive conceptualisation for digital transformation. Utilising a design perspective on digital transformation this paper (1) develops a conceptual meta-structure capable of representing instances of digital transformation independent of domain and context and (2) develops a taxonomy of context-specific categories for the identified meta-elements. The three elements Representation, Technology, and Effect (RTE) constitute the meta-structure, the taxonomy is comprised of seven representation, 10 technology and nine effect categories. We evaluated our results utilising a card sorting approach in a workshop setting. The proposed conceptualisation is capable to accommodate context-specific manifestations of digital transformation in all tested environments thereby indicating its applicability as a foundation for a context-sensitive conceptualization of digital transformation. The paper contributes to the evolving body of literature on digital transformation by providing a conceptual meta-structure capable of capturing manifestations of digital transformation in a uniform and structured manner across domains and contexts.
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