数字化转型
成熟度(心理)
能力成熟度模型
软件部署
资源(消歧)
现存分类群
样品(材料)
转化(遗传学)
实证研究
过程管理
业务
钥匙(锁)
知识管理
一套
功能(生物学)
计算机科学
数学
化学
软件
考古
程序设计语言
发展心理学
万维网
操作系统
统计
基因
历史
生物
进化生物学
生物化学
色谱法
计算机安全
计算机网络
心理学
作者
Lilla Hortoványi,Robert E. Morgan,Iva Vuksanović Herceg,Dragan Djuričin,Róbert Hanák,Dóra Horváth,Marian Mocan,Anita Romanová,Roland Z. Szabó
标识
DOI:10.1080/00207543.2022.2164087
摘要
Digital transformation is a major organisational challenge for manufacturing firms due to the extremely low success rate of such transformations to date. Capability Maturity theory suggests that firms need to develop digital transformation capability incrementally by focusing on a ‘vital few’ improvement priorities for advancing progress. The practitioner literature lacks empirical studies that validate extant capability maturity models (CMM) for digital transformation despite their importance. Moreover, there is a lack of assessment methods, and those that exist do not specify improvement points explicitly, nor prioritise them. Our research aims to address this gap through a systematic, quantitative analysis of digital capability by understanding the deployment of IT-enabled resources. Based on a sample of 302 manufacturing firms, results indicate that the digital transformation stages are punctuated by various resource-capability combinations. Results highlight that strategy- and organisation-related IT-enabled resources are the key drivers of digital transformation. We also observe that as a firm’s digital capability grows at each maturity stage, successively greater IT-enabled resources are required to support this in a stepwise function. To succeed, firms should be incentivised and supported to think beyond technology and develop five specific digital capabilities simultaneously. We also indicate the limitations that underlie our empirical work.
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