New intelligent empowerment for digital transformation
This study proposes an innovative evaluation method based on large language models (LLMs) specifically designed to measure the digital transformation (DT) process of enterprises. By analyzing the annual reports of 4407 companies listed on the New York Stock Exchange and Nasdaq from 2005 to 2022, a comprehensive set of DT indicators was constructed. The findings revealed that DT significantly improves a company's financial performance, however, different digital technologies exhibit varying effects on financial performance. Specifically, blockchain technology has a relatively limited positive impact on financial performance. In addition, this study further discovered that DT can promote the growth of financial performance by enhancing operational efficiency and reducing costs. This study provides a novel DT evaluation tool for the academic community, while also expanding the application scope of generative artificial intelligence technology in economic research.
Code (0)
등록된 구현이 없습니다.
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
dzStance at StanceEval2024: Arabic Stance Detection based on Sentence Transformers
This study compares Term Frequency-Inverse Document Frequency (TF-IDF) features with Sentence Transformers for detecting writers' stances--favorable, opposing, or neutral--towards three significant topics: COVID-19 vacci…
PositionSentenceStance DetectionExploration via Empowerment Gain: Combining Novelty, Surprise and Learning Progress
Exploration in the absence of a concrete task is a key characteristic of autonomous agents and vital for the emergence of intelligent behaviour. Various intrinsic motivation frameworks have been suggested, such as novelt…
A unified strategy for implementing curiosity and empowerment driven reinforcement learning
Although there are many approaches to implement intrinsically motivated artificial agents, the combined usage of multiple intrinsic drives remains still a relatively unexplored research area. Specifically, we hypothesize…
reinforcement-learningReinforcement LearningReinforcement Learning (RL)AI Identity, Empowerment, and Mindfulness in Mitigating Unethical AI Use
This study examines how AI identity influences psychological empowerment and unethical AI behavior among college students, while also exploring the moderating role of IT mindfulness. Findings show that a strong AI identi…
EthicsIntrinsic motivation as constrained entropy maximization
"Intrinsic motivation" refers to the capacity for intelligent systems to be motivated endogenously, i.e. by features of agential architecture itself rather than by learned associations between action and reward. This pap…