In Industry 4.0, the business model innovation plays a crucial role in enabling organizations to stay competitive and capitalize on the opportunities presented by digital transformation. Industry 4.0 is driven by digitalization and characterized by integrating various emerging technologies. These technologies can potentially change traditional business models and create new value propositions for customers. This paper aims to analyze and review the research papers through a bibliometric approach scientifically. The data were extracted from reputable Clarivate Web of Science (WoS) Core Collection sources from 2010 to 2023 (June). However, the publication started in 2018 for the research fields. The results show that scientific publications on research domains have increased significantly from 2020. VOSviewer, R Language, and Microsoft Excel were utilized for analysis. Bibliometric and Scientometric approaches conducted to determine and explore the publication patterns with significant keywords, topical trends, and content clustering better discussions of the publication period. The visualization of the data set related to research trends of Industry 4.0 in relation to Business Model Innovation resulted in several co-occurrence clusters namely: 1) Business Model Innovation; 2) Industry 4.0; 3) Digital transformation; and 4) Technology implementation and analysis. The study results would identify worldwide research trends related to the research domains and recommendations for future research areas.

Modern education attaches great importance to the innovation of teaching concepts, and teachers should be guided by it to provide students with high-quality educational resources and learning environment. Teachers should conduct in-depth research on auditing course materials, set certain training goals for students, and optimize their teaching ideas to conduct diversified evaluations of students. Teachers should create an environment for students to learn auditing and choose corresponding teaching methods based on their learning situation. Teachers should also guide students to master the courses and basic theories of auditing, so that they have certain operational skills and can apply relevant theories to analyze and develop problems encountered in the management profession.

As the involvement of Chinese enterprises in cross-border mergers and acquisitions (M&A) increases, on the one hand, it can drive enterprises to integrate with the international community and accelerate their transformation and upgrading, continuously enhancing their international competitiveness; on the other hand, it will also cause enterprises to experience more setbacks and challenges, especially the “weak acquisition of the strong” reverse cross-border acquisitions, which makes enterprises face a higher risk of failure. Reasonable control rights allocation can fully utilize the competitive advantages of enterprises, achieve synergistic cooperation among shareholders, board of directors, and management, promote the realization of enterprises’ cross-border acquisition goals, and thus enhance the value creation of acquisitions. There is a positive correlation between internal legitimacy and acquisition performance; the relevant assumptions about the distribution of shareholder control rights are invalid; the control rights at the board of directors level are negatively correlated with internal legitimacy and acquisition performance, and internal legitimacy has a mediating effect between the control rights at the board of directors level and acquisition performance, but the moderating effect of the acquisition mode is not significant; the control rights at the management level are negatively correlated with internal legitimacy and acquisition performance, and internal legitimacy has a mediating effect between the control rights at the management level and acquisition performance, and the acquisition mode negatively moderates the relationship between the control rights at the management level and internal legitimacy. This study takes the post-acquisition control rights allocation as the entry point, and examines the cross-border acquisition activities of Chinese enterprises from the perspective of stakeholders. The research results not only can enrich existing acquisition theory, but also can provide theoretical guidance for Chinese enterprise managers on allocation of control of target enterprises, and provide a theoretical basis for the state to formulate and optimize the system and policies of enterprises’ cross-border acquisitions.

With the outbreak of the COVID-19 pandemic in 2019, educational activities have faced significant disruptions, leading to a widespread adoption of online teaching and a transformation in the evaluation of teaching quality. Using CiteSpace visualization software, the study examines 1485 papers from the Chinese database of China Knowledge Network and 1656 papers from the English database of Web of Science (WoS) spanning the period from January 2013 to June 2023 as research samples. The findings reveal heightened activity in China and other countries research on teaching quality evaluation, moreover, research in both contexts predominantly comprises independent studies, supplemented by collaborative efforts. Notably, there is an increased focus on the exploration of online teaching quality evaluation, specifically delving into methodologies and systems. The emphasis has shifted towards students’ learning initiatives and a comprehensive evaluation of teachers’ work before, during and after class. While research in other countries has also identified new hotspots related to online teaching, the number of studies is comparatively limited. The study proposes the imperative need to update the evaluation criteria for online teaching and enhance the infrastructure of online teaching platforms. Additionally, it advocates for reforms in the evaluation systems of educational institutions and innovations of teachers’ instructional methods.

The country has vigorously promoted the work of school aesthetic education, which is a great opportunity and also a major challenge for the art major of Yili Normal University. At present, the quality of teaching in the art major is not very optimistic. How to ensure and improve the teaching quality of the art major is worth pondering. Based on the investigation of the current situation of teaching quality in the art college, this article identifies the factors that hinder the improvement of teaching quality, analyzes the reasons, and ultimately provides strategies to improve the teaching quality of the art major, providing effective reference suggestions to ensure the teaching quality of the major.

This study conducts a systematic literature review to analyze the integration of artificial intelligence (AI) within business excellence frameworks. An analysis of the findings in the reviewed articles yielded five major themes: AI technologies and intelligent systems; impact of AI on business operations, strategies, and models; AI-driven decision-making in infrastructure and policy contexts; new forms of innovation and competitiveness; and the impact of AI on organizational performance and value creation in infrastructure projects. The findings provide a comprehensive understanding of how AI can be integrated into organizational excellence emerged frameworks to address challenges in infrastructure governance, and sustainable development. Key questions addressed include: how AI affects consumer behavior and marketing strategies. What AI’s capabilities for businesses, especially marketing and digital strategies? How can organizations address the drivers and barriers to help make better use of AI in these business operations? Should organizations even do anything with these insights? These questions and more will be tackled throughout this discussion. This paper attempts to derive a comprehensive conceptual framework from several fields of human resources, operational excellence, and digital transformation, that can help guide organizations and policymakers in embedding AI into infrastructure and development initiatives. This framework will help practitioners navigate the complexities of AI integration, ensuring profitability and sustainable growth in a highly competitive landscape. By bridging the gap between AI technologies and development-related policy initiatives, this research contributes to the advancement of infrastructure governance, public management, and sustainable development.