数字化转型
转化式学习
心态
概念框架
知识管理
动态能力
杠杆(统计)
过程管理
业务
概念模型
跨国公司
计算机科学
社会学
万维网
社会科学
数据库
机器学习
教育学
人工智能
财务
作者
Swapan Ghosh,Mathew Hughes,Ian R. Hodgkinson,Paul Hughes
出处
期刊:Technovation
[Elsevier]
日期:2022-05-01
卷期号:113: 102414-102414
被引量:167
标识
DOI:10.1016/j.technovation.2021.102414
摘要
Industrial firms are under severe pressure to undertake digital transformation and leverage the Industrial Internet of Things (IIoT) and emerging technologies for the integration of industrial machines to share information on a real-time or near real-time basis. Though in recent years researchers have focused their attention on digital transformation, there is limited scholarly guidance for developing capabilities for such transformation. Drawing on dynamic capability theory and exploratory qualitative interviews with senior ‘elite’ executives from five of the world's largest multinational firms, the study outlines a new conceptual framework for digital transformative capability development. The integrative framework demonstrates how the three core capabilities of digital sensing, digital seizing, and digital reconfiguring manifest through associated capabilities of Strategic Sensing, Rapid Prototyping, Organization Structure, Business Model Transformation, and Cultural/Mindset Transformation. Internal and external contingencies are proposed as moderators of the relationship between IIoT and emerging technologies, and digital transformative capability development. Collectively, the article makes the case for Digital Transformation Capability and sheds new light on the digital transformation process. Implications for theory and practice are highlighted, and limitations are discussed.
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