Firstly, the article elaborates on the concepts of metaverse and industrial metaverse, pointing out that the metaverse has driven changes and optimizations in multiple dimensions such as urban form, social organization form, and industrial production form; Secondly, the metaverse has empowered urban governance in Guangzhou, improving the efficiency of urban management, enhancing the city's emergency management capabilities, improving the quality of interaction between people and the city, and promoting the construction of a smart city; Once again, the focus was on the practices and good results achieved by Guangzhou in utilizing blockchain technology, digital twin technology, generative artificial intelligence technology, unmanned aerial vehicles+AI and other technologies in urban governance and serving the public; Finally, it is clarified that metaverse related technologies will promote the integration of carbon based civilization and silicon-based civilization in urban and social governance. Humans can use silicon-based civilization technology to expand their living space and improve their quality of life, while silicon-based civilization can also draw inspiration from the culture and emotions of carbon based life, achieving more comprehensive development.

Based on the panel data of listed manufacturing companies in China from 2010 to 2019, the artificial intelligence (AI) index is constructed using the industrial robot data provided by the International Federation of Robotics, and the two-way fixed effect model is used to test the impact of AI on the total factor productivity (TFP) of enterprises. The results show that AI significantly improves the TFP of manufacturing enterprises, and this conclusion remains valid after robustness tests and endogeneity processing. AI promotes TFP by improving the level of human capital and technological innovation, and management and operational levels positively regulate the promotional effect of AI on the TFP of enterprises. Compared with manufacturing enterprises in the central and western regions, AI boosts the TFP of those in the eastern region; compared with non-state-owned enterprises, AI boosts the TFP of state-owned enterprises; and AI significantly boosts the TFP of high-tech and non-high-tech enterprises.

Our study explored the rise of public companies competing to launch large language models (LLMs) in the Chinese stock market after ChatGPTs' success. We analyzed 25 companies listed on the Chinese Stock Exchange and discovered that the cumulative abnormal return (CAR) was high up to 3% before LLMs' release, indicating a positive view from insiders. However, CAR dropped to around 1.5% after their release. Early LLM releases had better market reactions, especially those focused on customer service, design, and education. Conversely, LLMs dedicated to IT and civil service received negative feedback.

In today’s global business landscape, successful cross-cultural collaboration is not just an asset but a necessity. This article explores essential strategies for achieving effective collaboration between Chinese and Canadian business teams, emphasizing the critical role of cultural intelligence. We delve into understanding cultural differences, their impact on decision-making and communication, and the keys to building high-performing cross-cultural teams. Real-world case studies highlight success stories, and actionable strategies for bridging cultural gaps are provided. By embracing these insights, businesses can unlock the potential of cross-cultural cooperation, leading to better decision-making, enhanced communication, and stronger, more effective teams.

The increasing awareness and adoption of technology, particularly artificial intelligence, are reshaping industries and daily life. This study explores how adopting artificial intelligence (AoAI) influences stock price crash risk for Chinese A-share listed companies between 2010 and 2020. The primary findings emphasize AoAI's significant role in reducing stock price crash likelihood, enhancing financial market performance, and mitigating manager opportunism. Further, the research identifies varied effects of AoAI on crash risk among different enterprise types, notably benefiting non-state-owned and non-foreign businesses. Additionally, the study finding supports the notion that financial analysts enhance transparency, reducing the risk of stock price crashes. These results underscore the Chinese government's role in shaping the digital economy. Overall, the study's findings remain consistent and robust across statistical methods like 2SLS, PSM, SysGMM, and instrumental variable analysis.

We examine the rise of cloud computing and AI in China and its impact on industry dynamics. We find that industries that depend more on cloud infrastructure experience a higher increase in firm entry and exit after cloud computing expands in China. The positive relation with firm exit is driven by the increased exit through business failure and adjustments. We also compare cloud computing to artificial intelligence (AI) and show a differential effect of these technologies on exit. For AI, larger incumbents are less likely to exit. M&A is also more likely for cloud computing but not for AI. Concentration decreases post-cloud computing expansion but increases post-AI. These findings point to changes in competition from new technologies but with differential effects based on which types of firms are likely to adopt new technologies.

Large technology firms have substantial advantages in data, a key non-rival input for developing AI technology. We argue that investments by large technology firms stimulate innovation by AI startups through the sharing of data, bringing more than money to the startups. We assemble a unique dataset containing (nearly) the universe of AI-inventing firms in China to examine the innovation effects of these investments. Our difference-in-differences estimation shows that, after receiving investments from large technology firms, AI startups increase the number of AI patent applications by 62% and the number of software products by 56%, relative to their mean values prior to the investments. Using a triple-differences strategy, we further find that the innovation impact of investments by large technology firms is stronger than that of investments by other firms without data advantages. We confirm these findings using an instrumental variables approach based on recent investments by large technology firms in peer startups. Finally, we provide novel evidence that the innovation effect works mainly through sharing non-rival data by leveraging our rich information on non-AI data-related patent applications and data-related online job postings.

In the era of digital economy, the development and application of digital intelligence technology are changing rapidly, and human society has entered a new era where digital intelligence technology is rapidly advancing and playing an important role. Workers who master digital intelligence technology play a decisive role in the sustained and healthy development of enterprises, and the human capital possessed by workers has become the driving force for high-quality development of enterprises. The recognition and measurement of the value of human capital possessed by workers is the foundation and prerequisite for motivating workers, and the recognition and measurement of human capital value has become a core issue that urgently needs to be studied in human resource equity accounting. The article briefly introduces the development of human resource accounting theory, expounds that establishing human capital property rights is an important condition for the sustainable development of enterprises in the digital economy era, stimulates the potential of human capital, and is conducive to accelerating economic transformation and upgrading. The dynamic equity distribution mechanism is an important way to stimulate the vitality of human capital.

In the era of digital economy, although the production (labor) tools of enterprises are digitalized, intelligent, and networked, and new characteristics and scenarios have emerged in enterprise operation and labor methods, the human capital possessed by workers has become the driving force for the sustainable development of entrepreneurial enterprises. Workers who master digital technology play a decisive role in the sustainable and healthy development of entrepreneurial enterprises. The article points out that in the era of digital economy, human capital is a key factor for economic growth and development. In the fields of mixed ownership and private economy, the employment system will gradually "retire", and modern partnership systems will prevail; The modern partnership system can motivate partners to collaborate and innovate, which is an upgrade of the manager system; The article briefly introduces the advantages and disadvantages of the dual ownership structure and the dynamic equity distribution mechanism of start-up companies; And the achievements made by Xiaomi Group, Huawei Company, and Midea Group in implementing a business partnership system.

Audit digitalization is the organic integration of digital technology and audit work; Internal audit digital intelligence is a collective term for internal audit digitalization and internal audit intelligence. This paper systematically expounds that the digital transformation of audit is conducive to achieving internal audit goals, giving full play to the internal audit function, and improving the efficiency of internal audit. The main paths and key points of the digital transformation of enterprise audit are introduced, and it is pointed out that intelligent audit is a major trend in the future development of auditing. The three types of intelligent audit and the application of digital twin in commercial bank audit are introduced. A brief introduction to Bank of Jiangsu's research-based audit and its achievements. It is pointed out that the digital transformation of audit is also the upgrading and transformation of organizations and talents, and it is necessary to vigorously cultivate and introduce audit professionals to support the smooth achievement of digital transformation of auditing.