2023
DOI: 10.1016/j.frl.2023.103677
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Corporate maturity mismatch and enterprise digital transformation: Evidence from China

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Cited by 49 publications
(26 citation statements)
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References 25 publications
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“…However, there are several problems that an enterprise may face at different stages of implementing a digital modelling system. Hu et al examine another aspect of the topic, such as the digital readiness of an enterprise for digitalization [28]. To assess the level of the digital readiness of a mining enterprise, the authors analyzed the most significant factors and identified problem areas: uninterrupted power supply, communication, and Internet access.…”
Section: Discussionmentioning
confidence: 99%
“…However, there are several problems that an enterprise may face at different stages of implementing a digital modelling system. Hu et al examine another aspect of the topic, such as the digital readiness of an enterprise for digitalization [28]. To assess the level of the digital readiness of a mining enterprise, the authors analyzed the most significant factors and identified problem areas: uninterrupted power supply, communication, and Internet access.…”
Section: Discussionmentioning
confidence: 99%
“…Digital Transformation. In alignment with text extraction methodologies utilized in earlier studies by Hu et al (2023), we have employed text extraction techniques to quantify the occurrence frequency of pertinent digital-related keywords within the annual reports released by listed manufacturing enterprises . These keywords encompass terms such as "artificial intelligence," "data technology," "cloud computing," "blockchain" among others.…”
Section: Variable Measurementmentioning
confidence: 99%
“…These cases are concentrated on large insurance companies while there are fewer studies on small and medium-sized insurance companies. To reflect the degree of digital transformation of insurers more comprehensively, we conduct the widely accepted text analysis method [ 51 , 52 ] by counting the frequency of keywords related to digital transformation from Insurance companies’ annual reports through the Python program.…”
Section: Conceptual Modelmentioning
confidence: 99%
“…These experienced experts have long been concerned with the development and trends in the insurance industry, financial industry, and information engineering. Through the experts’ suggestions and relevant literature references [ 36 , 51 ], we try to collect indicators from 3 dimensions: DI (U 1 ), DP (U 2 ), DA (U 3 ), with 9 indicators (see Table 1 ). The procedure of selecting indicators follows three basic rules [ 60 ].…”
Section: Measurementmentioning
confidence: 99%