Engineering Talents Research Articles

Research on the multi-factor driving paths of Chinese science-technology talents’ career calling: an ability-motivation-opportunity perspective

ABSTRACT Science-technology talents career calling is a vital driving force for technological progress and innovation. Enhancing the career calling among such professionals is crucial for building an innovative nation. Grounded in the AMO theory, this study uses the fuzzy-set Qualitative Comparative Analysis (fsQCA) method to investigate the interactive effects of career competence, role identity, challenge demand, responsible leadership, and collectivism climate on the driving mechanisms of career calling, based on a survey of 231 science & technology talents. The findings are as follows: Five configurations lead to a high career calling among Chinese science & technology talents, which can be summarized into three categories: ‘Responsible Leadership – Cognitive Sublimation’, ‘Competence Support – Challenge Stimulation – Team Collaboration’, and ‘Role Anchoring – Challenge Driven’. Two configurations result in a low career calling, summarized as ‘Insufficient Competence – Role Confusion – Lack of Responsibility’. Based on the Chinese context, this study deepens the understanding of the complex mechanisms underlying Science-technology talents’ career calling and broadens the perspective of career calling research. This study provides practical insights for optimizing the talent cultivation system and enhancing technological innovation capacity.

Technological Cooperation for Sustainable Development Under the Belt and Road Initiative and the Sustainable Development Goals: Opportunities and Challenges

The Belt and Road Initiative (BRI) promotes sustainable development in the participating countries by facilitating technology transfer, talent development, and industrial upgrading. Technological cooperation under the BRI plays a crucial role in helping these countries achieve the Sustainable Development Goals (SDGs). However, BRI cooperation also faces significant challenges, including geopolitical, economic, social, environmental, and legal risks. This paper reviews the current research on BRI technological cooperation, covering cooperation models, influencing factors, mechanisms, and the economic and social impacts of such cooperation. It examines both the opportunities and challenges involved and provides policy recommendations and action plans. This review offers valuable insights for researchers interested in BRI technological cooperation and contributes to advancing sustainable development in BRI countries.

Research on Talent Management Model in Internet Industry -- Taking Baidu as an Example

With the rapid development of the Internet industry, talent recruitment and training has become a key factor in enterprise competition. This paper takes Baidu as an example to discuss its talent management model in the Internet industry. Through case analysis and comparative research, it reveals Baidu's strategies and outcomes in talent recruitment and training. The findings reveal that Baidu has successfully attracted and retained many outstanding talents through measures such as multi-channel recruitment, internal training, and career development plans. However, challenges remain, such as the need to strengthen the cultivation of emerging technology talents. The research provides theoretical guidance for talent management in the Internet industry and addresses the research gap in related fields.

"There is a lot more potential” - practitioner perspectives on technology and data-driven talent identification, selection, and development in a German Bundesliga academy

This case study explored the perceptions and utilisation of data-driven methods of coaches, scouts, and a sporting manager overseeing the U8-U14 unit of a German Bundesliga academy. It comprised seven semi-structured interviews and employed thematic analysis to unravel the complexities of talent identification, selection and development (TISD). The findings provide highly contextual insights into practices and perceptions of key stakeholders within the context of academy football. Technology and data-driven methods were restricted to anthropometric measurements and automated video evaluations. Nonetheless, informants recognised the potential of data-driven methods, such as AI, to enhance TISD practices and decision-making. Financial constraints did not pose a barrier, however, challenges, such as limited expertise and insufficient time for data interpretation, hindered the wider adoption of data-driven strategies and technologies. It is suggested that training staff in data interpretation and investing in skilled personnel could improve the effective use of new technologies and enhance player development. Legal regulations, such as the General Data Protection Regulations, were perceived as potential hurdles to adopt innovative methods. Moreover, demographic dynamics, particularly younger staff, are believed to positively influence technological adoption. The need for further research to explore how organisational dynamics and data protection laws impact the adoption and effectiveness of data-driven methods in football academies was suggested.

How the talent ecosystem of key state-owned forest areas in China empowers forestry scientific and technological talents aggregation

How the talent ecosystem of key state-owned forest areas in China empowers forestry scientific and technological talents aggregation

Research on School Enterprise Collaborative Education Mode of Software Technology Specialty under the Background of Enhancing the Adaptability of Vocational Education

The rapid development of China's digital economy puts forward higher requirements for the cultivation of software technology talents. In view of the problems existing in the talent cultivation process of software technology major in higher vocational colleges, such as the teaching content can't fully adapt to the requirements of industrial technology, the teaching process can't adapt to students' diversified learning demands, and the evaluation mode can't adapt to students' sustainable growth needs in the future, we cooperated with industry leading enterprises to build the curriculum chain and classroom link of real projects of enterprises, "1+n" double classroom skill acquisition group and "three-dimensional simultaneous" skill acquisition evaluation mode, carried out the reform of school enterprise collaborative education mode, and practiced and explored in the software technology major of Wenzhou Polytechnic, and achieved good results.

Research on the Innovation of "Advanced Mathematics" Blended Teaching Based on Knowledge Graph in the Context of New Engineering

Based on the analysis of the relation between the knowledge of higher mathematics and the characteristics of the mixed teaching mode, this paper discusses the innovation of the mixed teaching mode of "higher mathematics" under the background of new engineering, and puts forward the innovation strategy of the mixed teaching mode of "higher mathematics" under the background of new engineering, including optimizing teaching resources, reforming teaching methods, innovating course modules and promoting interdisciplinary cooperation. The research finds that the innovation of "higher mathematics" mixed teaching mode based on knowledge graph is helpful to improve the teaching effect, stimulate students' thinking on mathematical problems, cultivate students' innovative thinking and mathematical modeling ability, and lay a solid foundation for the cultivation of new engineering talents.

Reform and Considerations of the High-Quality Talent Cultivation Model for New Engineering Disciplines in Local Universities in China Empowered by New Productivity Forces

New productivity is based on digitization, intelligence, and greening, driven by disruptive technological innovation and centered on emerging and future industries, aiming to serve high-quality living through efficient and high-quality development. This new type of productivity continuously raises the standards and challenges for engineering science and technology, also posing higher demands on the education of new engineering disciplines. With the continuous emergence of new technologies, new economies, and new business models, the connotation and extension of the new engineering discipline have undergone profound changes, leading to a disruptive transformation in traditional engineering jobs and industrial chains. There is an urgent need to innovate and optimize the talent cultivation model for new engineering disciplines, aligning closely with the evolutionary laws of productivity and production relations in the new era. The development of new productivity poses new requirements for talent cultivation in new engineering disciplines, emphasizing innovation, a more integrated training model, a diversified subject base, and a dynamic development of goals and content. However, current talent cultivation models for new engineering disciplines still face challenges in several areas: unclear goal setting, weak interdisciplinary integration, slow transformation towards digitization and intelligence in education, and a lack of a scientific and comprehensive quality evaluation system. To address these challenges in the context of new productivity, it is necessary to promote reforms in the talent cultivation model for new engineering disciplines through the following approaches: integrating digitization, intelligence, and green development into the entire talent cultivation process; reshaping training concepts; breaking down disciplinary barriers to promote integration; continuously optimizing the training model; introducing virtual simulation and other auxiliary teaching technologies to create a collaborative model of student-teacher assistance in talent cultivation; deepening industry-education integration, and innovating cultivation mechanisms to contribute positively to the training of high-quality new engineering talents.

Corporate Innovation Management from the Perspective of Management Science and Engineering

This paper is centred on corporate innovation management from the perspective of management science and engineering. It describes its origin and development, and its wide application in internal and external management, service industry and innovation and entrepreneurship. Enterprise innovation management is flexible, risky, long-term and complex, and includes various types and modes such as autonomous and integrated. Management science and engineering promote innovation by providing data and models through decision support systems, analysing data to explore needs, and coordinating resources through project management methods. However, it is currently facing challenges such as technological change, talent shortage, and poor cultural climate. The future is digital intelligence, green sustainability, interdisciplinary research and application trends, enterprises need to respond to the challenges, grasp the trend to improve the level of innovation management, sustainable development and competitiveness, to adapt to the complex and changing market environment, innovation-driven to create economic and social value, and to lead the industry in a new direction of development.

Cultivation of Financial Technology Talents in Finance and Economics Colleges under the Background of New Liberal Arts

This research explores how finance and economics colleges can effectively cultivate financial technology talents in the context of the construction of new liberal arts. The research analyzes the challenges faced by current financial and economic colleges in cultivating financial technology talents, such as a single teaching mode and limited practical platforms. It also proposes corresponding training paths, including clarifying training objectives, optimizing curriculum systems, strengthening practical teaching, building a diversified cooperative education system, enhancing faculty building, and international exchange and cooperation. Aiming to cultivate financial technology talents with interdisciplinary abilities, innovative thinking, and international perspectives through reform and innovation, in order to adapt to the rapid development of the financial technology industry.

Research on the Business Model Optimization of Bloomage Biotech

In recent years, with economic development and social progress, people's attention to biotechnology has gradually increased, and many biotechnology companies have also emerged, including Bloomage Biotech. However, with the rapid development of Huaxi Biology, the problems with its business model have also inevitably been exposed. This paper studies the business model optimization of Bloomage Biotech based on existing literature and data. The author first discusses the current situation of the business model, and then summarizes the business model based on its operational status. Finally, this paper proposes corresponding optimization suggestions. The results show that, in the rapid development of Chinas market economy, enterprises should optimize their cost structures, carefully select partners, and retain core scientific and technological talent. If an enterprise wants to develop healthily and sustainably, it must optimize its business model in a timely manner. Only by establishing a sound business model can the enterprise effectively ensure that its product development and innovation processes are full of vitality.

Application and Impact of Artificial Intelligence in Education: A Case Study of Programming Education

With the rising demand for personalized learning and increased digital natives, the traditional education model is under pressure to reform. the rapid development of artificial intelligence (AI) provides new education solutions, and the application of AI is becoming widespread, from intelligent tutoring to automated grading to learning analytics. However, the application of AI in education is not without challenges. This literature review aims to explore the impact of AI on education, analyze its potential advantages, and propose strategies to address the challenges and provide guidance for the future development of education. Understanding the impact of AI on education is instructive for the future direction of AI in education and reveals the importance of AI for education to the extent that it is important for formulating effective educational policies and cultivating future talents in AI technology. The final results of the study show that although AI in the education industry there are various difficulties and limitations, but AI offers great potential for smarter and more efficient education levels and education systems. In today's era, computer programming education is emerging as a pivotal force in shaping the future, as it not only hones students' logical thinking and innovative capabilities but also lays a solid foundation for their career paths in the digital world. By integrating knowledge across various disciplines, programming education stimulates students' enthusiasm for applying their learning to real-world problems and enhances their sense of social engagement, enabling them to tackle challenges through technological means.

Research on the Integration and Development of Strengthening the Consciousness of the Chinese Nation Community and Ideological and Political Education in Engineering Major Courses

This paper explores the integration of strengthening the consciousness of the Chinese nation community with ideological and political education in engineering major courses, an important issue in higher education reform. Strengthening the consciousness of the Chinese nation community emphasizes the unity and common progress of all ethnic groups, aiming to enhance national cohesion and harmonious social development. Ideological and political education in engineering courses incorporates core socialist values and scientific methods into professional knowledge to cultivate students' sense of social responsibility and innovation spirit. This paper proposes specific integration strategies in terms of curriculum design, practical teaching, and the combination of craftsmanship and scientific spirit. It also suggests innovative teaching methods through interactive teaching, interdisciplinary integration, and multimedia tools. Furthermore, the establishment of a scientific evaluation and feedback mechanism is recommended to ensure teaching effectiveness and to nurture innovative engineering talents with a strong sense of social responsibility and patriotism.

The Path to Cultivating High-quality Talents in Mechanical and Electronic Engineering in the New Era

The Path to Cultivating High-quality Talents in Mechanical and Electronic Engineering in the New Era

Exploration of the Application and Practice of Digital Twin Technology in Teaching Driven by Smart City Construction

Traditional engineering education cannot effectively respond to the demand for talents in the construction of smart cities. The application of digital twin technology in education is mostly based on case studies and lacks empirical tests. This study takes the practical teaching of a project-based course on smart city parks as an example to explore the action intention of graduate students to use digital twin technology consistently, and to provide a theoretical basis and teaching practice guidance to promote the rational application of digital twin technology in engineering education. This study set up a quasi-experimental design through the digital twin learning system, grouping 24 graduate students with 4 faculty members. The experimental group is digital twin-assisted practical teaching, and the control group is traditional teaching method, the experimental cycle is 12 weeks, and the total lesson time is 24 h. Secondly, combined with UTAUT2 model and TTF theory, the variable factor hypothesis was adopted as the scale design means, and the experimental validity was improved through questionnaire data analysis. Meanwhile, the influencing factors in the use of digital twin platform were recorded in detail through the process of data collection, data processing and modeling, as well as the application practice of digital twin platform. Finally, the results of the comprehensive survey data show that the graduate students in the experimental group are significantly better than the control group in terms of self-confidence, skill enhancement, learning outcomes, and learning experience. All these results provide information for course teaching practice, training professional teaching teams, optimizing innovative teaching paths, and promoting the cultivation and delivery of smart city technology talents.

The Construction of a Mathematical Modeling Curriculum System Oriented by New Engineering Talents

This article provides an overview of the research progress on mathematical modeling courses both domestically and internationally, and points out the main problems that currently exist. Propose to no longer include competition results in the evaluation criteria, and establish its own training model based on the actual situation of the school. With the assistance of teachers, establish cross disciplinary projects. Teach students to apply knowledge to new problems, allowing more students to achieve more lasting results. The role and significance of research projects in promoting teaching work and improving teaching quality, and the specific research objects and contents. The main research subjects are students from most majors in science and engineering at our university. The main value lies in the exploration and practical work done in the field of new engineering education to cultivate students' mathematical literacy and numerical calculation ability.

Applied Research on the Impact of Big Data, Cloud Computing and Cloud Storage on Smart Manufacturing Supply Chain

The rapid advancements in big data, cloud computing, and cloud storage technologies are profoundly reshaping the operational models of smart manufacturing supply chains. The integration and application of these technologies not only drive the enhanced data collection and analysis capabilities across various supply chain segments but also significantly improve the accuracy of demand forecasting, the rationality of resource allocation, and the scientific nature of decision support. Consequently, the collaborative efficiency and dynamic response capabilities of supply chains have been substantially elevated, providing robust technological backing for enterprises in navigating the intricately volatile market environment. Nonetheless, while reaping the benefits of these technological advancements, challenges such as data security and privacy protection, system integration, and technical selection cannot be overlooked. By judiciously selecting technology platforms, reinforcing data security management, and continuously investing in technological advancements and talent cultivation, the holistic effectiveness of smart manufacturing supply chains will be further optimized.

Does the Innovative City Pilot Policy Improve Urban Resilience? Evidence from China

The assessment of the relationship between the innovative city pilot policy (ICPP) and urban resilience is crucial for enhancing cities’ ability to foresee, endure, and recover from various disruptive events. Despite the widespread implementation of the ICPP in China, it remains uncertain if this strategy will contribute to the development of urban resilience. Starting with data collected from 245 prefecture-level cities in China from 2004 to 2020, this paper initially evaluates the causal effect of the policy intervention using the difference-in-differences (DID) model and the propensity score matching-difference-in-differences (PSM-DID) method. A multi-dimensional urban resilience measurement index and a mediating effect model were constructed. The empirical results show that (1) the ICPP has a significant effect on urban resilience, which remains in force after a series of robustness tests, such as a placebo test and difference-in-differences machine learning (DML) approach; (2) regional R&D investment, technological talent attraction, green innovation capability enhancement, and information infrastructure development are identified as the mediating variable for the ICPP’s impact on urban resilience dimensions; and (3) heterogeneity study results show that the ICPP has a significantly greater impact on medium-sized cities, attributed to their capacity to enhance the resilience of cities with more growing space. Furthermore, cities with lower economic agglomeration saw a greater increase in urban resilience due to the ICPP. Accordingly, it is recommended to prioritize the allocation of innovative resources to non-coastal regions, cities with low economic agglomeration, and medium-sized cities. This study provides crucial recommendations for the enlargement of the ICPP’s scale and coordinated progress of China’s urban resilience.

The Influence of the Flow of Scientific and Technological Factors on the High-Quality Development of Regional Economy

In the new stage of China’s economic transformation from high-speed growth to high-quality development, scientific and technological factors have become the new driving force for the high-quality development of China’s economy. Therefore, how the flow of scientific and technological factors affects the high-quality development of regional economy is worthy of in-depth discussion. Based on the panel data of 30 provinces (municipalities and districts) in China from 2006 to 2019, this paper calculates the high-quality economic development index by constructing a comprehensive index system, and empirically examines the direct effect, spatial effect and threshold effect of the flow of scientific and technological factors (including scientific and technological talent factors and scientific and technological capital factors) on high-quality regional economic development. The results show the following: (1) The flow of science and technology talents and science and technology capital is the main driving factor for the high-quality development of regional economy, and the flow of science and technology talents and science and technology capital can play a complementary role. (2) High-quality regional economic development in China presents a certain clustering phenomenon in geographical space. The flow of scientific and technological talent elements and scientific and technological capital elements can stimulate the improvement of high-quality economic development in surrounding areas through the spatial spillover effect of high-quality economic development. (3) Only when the flow of science and technology factors is matched with a higher degree of financial structure and industrial structure can the flow of science and technology factors more effectively promote the high-quality development of regional economy. (4) The higher the level of industrialization and economic development, the more obvious the impact of the flow of scientific and technological talent factors and scientific and technological capital factors on the high-quality economic development. Meanwhile, the lower the degree of marketization, the more obvious the impact of the flow of scientific and technological capital factors on the high-quality economic development.

Exploration of Teaching Reform in the Course of Concrete Structure Design Principles in the Context of the New Era

In response to the requirements for cultivating applied talents in civil engineering under the background of the new era, and addressing the practical problems existing in the teaching of the course on concrete structure design principles in higher education institutions, this paper conducts an analysis of the current situation and challenges of the course teaching. It focuses on issues such as the abstract difficulty of teaching content, the singularity of teaching methods, and the lack of practical teaching. Combining the characteristics of the course and the industry’s demand for talent capabilities, the paper explores and outlines reform measures, including optimizing course content, transforming the roles of teachers and students, and integrating theory with practice. The aim is to provide insights and inspiration for the teaching of related courses.