Innovation Ability Research Articles

Internal Drive or External Pull: Independent Innovation and Sustainable Growth of Chinese Agricultural Enterprises

The independent innovation of agricultural enterprises ensures national food security through enhancing food production efficiency and optimizing food nutritional quality. Independent innovation is an important way for the sustainable growth of agricultural enterprises. However, in this process, there are issues such as long cycles and high risks. Based on this, using the panel data of China’s listed agricultural enterprises from 2007 to 2021, this study empirically examined the impact of independent innovation on the sustainable growth of agricultural enterprises, as well as the moderating effects of internal drivers (digital transformation) and external pull factors (government subsidies) through a two-way fixed effects model. The findings are the following: (1) The impact of independent innovation on the sustainable growth of agricultural enterprises exhibits an “inverted U-pattern”. When the R&D investment of agricultural enterprises accounts for 77.85% of operating income, the sustainable growth ability of agricultural enterprises is the highest. (2) Compared with large agricultural enterprises, small and medium-sized agricultural enterprises reach the threshold of independent innovation ability later, and the incentive effect range of independent innovation is longer. (3) Independent innovation exerts a more significant “inverted U” effect on the sustainable growth of non-state-owned agricultural enterprises and agricultural enterprises in the mature stage, while its impact on the sustainable growth of state-owned agricultural enterprises and agricultural enterprises in the growth and decline stages is not significant. (4) Government subsidies can help enhance the positive impact of independent innovation on the sustainable growth of agricultural enterprises when it does not exceed the threshold but cannot alleviate the negative impact of independent innovation on the sustainable growth of agricultural enterprises when it exceeds the threshold; investment in digital transformation not only helps to enhance the positive impact of independent innovation on the sustainable growth of agricultural enterprises when it does not exceed the threshold but also helps to alleviate the negative impact of independent innovation on the sustainable growth of agricultural enterprises when it exceeds the threshold. The research results provide data support for agricultural enterprises to carry out innovation activities under internal drive and external pull. At the same time, it is of great significance for the national implementation of the strategy of storing food in technology and food security strategy.

Application of business intelligence based on big data in E-commerce data evaluation

With the vigorous development of e-commerce, more and more goods are sold online. The electronic platform not only brings convenience to people's lives but also gives more people the opportunity of employment and entrepreneurship, which contributes to the promotion of economic value and the creation of wealth. With the gradual maturity of network technology represented by Big Data, it has also led to the further development of e-commerce. In the past, e-commerce mostly used business intelligence systems for data analysis. However, as the data becomes more and more complex, the innovation ability and data analysis ability of traditional business intelligence systems are relatively conservative, so it is of great significance to update and strengthen business intelligence to analyze its role in e-commerce data. Therefore, this paper proposed the application of business intelligence based on Big Data in e-commerce data analysis. By combining Big Data and a business intelligence system and taking the e-commerce data of a certain brand of beverage as the research object, the Days-Times-Money (DTM) model was established, and the data mining technology was used to classify the brand consumers. The data results showed that among the three consumption attributes, the highest consumption density of consumption days, consumption times, and consumption amount was 68.63 %, 67.99 %, and 69.72 % respectively. These were not more than 70 %, which indicated that the consumption of this brand of beverages had a high space for growth. According to the consumption density, the users of this brand of beverage were divided into four consumer groups. According to the classification results, it provided feasible marketing reference opinions for the brand beverage and could provide direction for brand value-added by mining the hidden data of the brand beverage. This paper hoped to use the brand beverage as a case to provide reference and reality for the development of e-commerce enterprises and provide a reference for the application and promotion of business intelligence based on Big Data in e-commerce data analysis.

Construction of practical teaching system of applied colleges and universities based on cultivation of innovation ability

Construction of practical teaching system of applied colleges and universities based on cultivation of innovation ability

A study of the effect of team diversity on employee innovative behavior: The mediating role of psychological capital

In today's extremely competitive market environment, employee innovative behavior determines the innovation ability of the enterprise, and the innovation ability of the enterprise determines whether the enterprise can survive and develop under brutal market competition; thus, enhancing employee innovative behavior becomes critical for the long-term survival and development of the enterprise.This paper delves into the theoretical mechanisms by which team diversity and psychological capital affect employee innovative behavior. It leverages social identity theory and conservation of resources theory to provide a comprehensive understanding of these research. The study suggests that psychological capital acts as a mediator in this relationship, serving as a key factor that connects the elements of team diversity with the outcomes of employee innovative behavior. To empirically validate the proposed research model, which connects team diversity, psychological capital, and employee innovative behavior, the study gathered data from a national survey, resulting in 387 valid responses. The analysis employed PLS-SEM to conduct reliability and validity assessments, as well as tests for direct and mediating effects. The research results show that team information diversity can directly and significantly affect employee innovative behavior, team underlying diversity does not directly influence employee innovative behavior; team informational diversity significantly impacts employees' self-efficacy, optimism, hope, and resilience, team underlying diversity significantly affects self-efficacy, optimism, and resilience, but not hope; Self-efficacy and hope do not influence employee innovative behavior, resilience and optimism significantly influence employee innovative behavior. optimism and resilience play a partially mediating role between team information diversity and employee innovative behavior; and optimism and resilience play a completely mediating role between team underlying diversity and employee innovative behavior.

The construction of the index system for nurses' innovation competence evaluation in China: A Delphi study

BackgroundScientific and technological innovation has become the "key variable" of national social and economic development. Nurses' innovation ability can improve the quality of patient care, thus shorten the hospital stay, reduce the medical costs, and promote the rapid development of the nursing industry. Nowadays nurses have gradually involved in various innovation, but less concerns are focus on the evaluation of nurse’s innovation competence. ObjectiveTo develop evaluation index system for nurse's innovation competence. ParticipantsEleven experts with innovation experience from different regions in China. MethodsLiterature review and qualitative interview were used to establish first version of index system. Then, a two-round Delphi expert consultation was conducted to collect opinions from 11 experts. Then the final version of nurses' innovation competence evaluation index was used in one tertiary hospital for preliminary application. ResultsThe response rate of the two rounds was more than 90%, the expert familiarity coefficient was 0.818, the judgment coefficient was 0.918, and the authority coefficient was 0.868. The two rounds of expert coordination coefficient test showed P < 0.05. The evaluation index system of nurses' innovation competence includes 4 first-level indicators, 9 second-level indicators and 36 third-level indicators. The scores of innovation production and innovation subject were the lowest among all the first-level indicators when use this index for preliminary application. ConclusionThe constructed evaluation index system of nurses' innovation competence are scientific, reliable and practical, and can be used to promote nurse's innovation competence and innovation conversion competence in clinical practice. Hospital managers should pay more attention on cultivate nurse’s innovation competence and provide resources and multi-form platforms to support the nurses with innovative ideas and willingness.

Innovative ability, work environment and job performance of young teachers in colleges and universities: Basis for improved employee engagement framework

Innovative ability, work environment and job performance of young teachers in colleges and universities: Basis for improved employee engagement framework

Optimizing Higher Education for Entrepreneurship Digital economy and Innovation: A Novel Spatial Analysis Approach

The paper extensively examined the intricate components underpinning innovation ability, culminating in the construction of a linear spatial model delineating innovation and entrepreneurship prowess. This paper analyzed the components of the connotation of innovation ability, then constructs a linear spatial model of innovation and entrepreneurship ability, proposes a multi-objective function model of the utilization efficiency and allocation efficiency of education resources, and uses the grey correlation algorithm The experimental simulation and model solution are carried out. The simulation results show that, through the optimization, the utilization efficiency and allocation efficiency of the educational resources for innovation and entrepreneurship for all are increased by 18.72\% and 20.98\% respectively, and tend to be in equilibrium, which can achieve the optimization of educational resources allocation. Among all people, the correlation value with ideal entrepreneurship is 0.3177, achieving the most excellent innovation and entrepreneurship education.

A Comparison of Labor Competence of College Students in Different Educational Tracks: A Study Based on a Survey in Guangxi University of Foreign Languages

This article is a case study of students' labor competence in two different educational tracks from the Guangxi University of Foreign Languages. According to research findings, there was no significant difference in the overall level of labor competence between ordinary undergraduates and vocational students, and there were disparities in labor competence in specific dimensions, including labor consciousness, labor knowledge, labor qualities, and labor creativity, between the two groups. Ordinary undergraduates significantly outperformed vocational college students in the dimension of labor consciousness, whereas the latter scored higher in the dimension of labor knowledge. Both groups scored poorly in terms of labor creativity. Also discussed is the importance of cultivating innovation ability, building labor knowledge, shaping labor values, and improving off-campus labor education participation among college students.

The Spirit of Craftsman is Integrated into the Teaching and Research of Art College Students in the New Era

With the advent of the new era, the social demand for art talents is increasingly diversified and high-end, and the craftsman spirit, as a symbol of the ultimate pursuit of skills and adherence to quality, is particularly important for the cultivation of art college students. This paper aims to discuss how to integrate the craftsman spirit into the teaching and research of art college students in the new era, so as to improve their professional quality, innovation ability and professional ethics, and cultivate more excellent artistic talents with the craftsman spirit for the society.

The Transformation of Teacher s Role and the Cultivation of Students Innovative Ability in English Education

With the deepening of education reform, training high-quality talents with innovative spirit and practical ability has become an important goal of English education. Facing the needs and challenges of The Times, English teachers need to change the traditional teaching concept, innovate the teaching mode, attach importance to the dominant position of students, and stimulate the innovative potential of students. This paper discusses the significance of the change of teacher s role in English education in cultivating students innovative ability, and puts forward corresponding teaching strategies to provide references for English education reform.

Study of the Effect of ChatGpt on the Development of Research Capacity of Higher Education Students

As a relatively mature generative AI technology, ChatGPT's application in education and scientific research has attracted wide attention. This paper investigates the current situation of ChatGPT use among college students and the impact of ChatGPT on their scientific research capabilities and analyzes that the current application effect of ChatGPT in learning is relatively positive, but there are still problems such as inaccurate and insufficient quality of the generated text. At the same time, ChatGPT is of great help to college students in terms of perception ability, language comprehension ability, language expression ability, data collection ability, and knowledge construction ability, but it is not significantly helpful for the improvement of students' teamwork ability, problem discovery ability, innovative thinking ability, and innovative practice ability. Given the current problems in the use of ChatGPT and the challenges it brings to the development of students' scientific research ability, this article provides corresponding countermeasures and suggestions from multiple perspectives.

Research on the Teaching Design of Maker Thinking for College Students Based on Design Thinking

Maker education is an important way to cultivate college students' innovative spirit and practical ability, and design thinking provides new concepts and methods for maker education. This article analyzes the advantages of teaching design for college students' maker thinking under the background of design thinking, dissects the problems existing in current teaching design, and proposes improvement measures from the aspects of constructing teaching content system, innovating teaching mode, optimizing practical teaching, and establishing multiple evaluation mechanisms, in order to provide reference for improving the quality of college students' maker thinking cultivation.

Digital transformation and corporate green total factor productivity: Based on double/debiased machine learning robustness estimation

With the rapid development of the digital economy, China's digital technology and industry continue to integrate deeply into all areas of society. Digital transformation(DT) has become an important engine and key pedestal for economic and social transformations and upgrades. This paper takes 3525 listed companies from 2013 to 2021 as a sample to measure the green total factor productivity(GTFP) of listed enterprises based on the super-efficiency slacks-based measure with the Global Malmquist-Luenberger Index (SBM-GML) and the super-efficiency epsilon-based measure with the Global Malmquist-Luenberger Index (EBM-GML). It draws on the two existing DT indicators to explore the impact and mechanism of enterprise DT on GTFP. The results show that DT can significantly enhance GTFP, and this conclusion still holds after double/debiased machine learning and other robustness tests; the heterogeneity analysis shows that DT of high-tech enterprises, manufacturing industries and low-financialisation enterprises has a more obvious effect on the enhancement of GTFP; and the four-stage mediated impact mechanism suggests that the effect of DT on GTFP can be achieved by improving internal control ability and technological innovation ability. This paper will provide relevant policy insights on how to better drive enterprise DT and green low-carbon development under the “dual-carbon” goal.

Research on the Integration of Civics and Politics and Practice of Innovation and Entrepreneurship Education Programs in Colleges and Universities

With the deepening of educational reform in the new era, innovation and entrepreneurship education has gradually become an important means of cultivating high-quality talents in colleges and universities. However, it is difficult for pure technical education to meet the social demand for comprehensive development, and the integration of curriculum ideology and politics and practice into innovation and entrepreneurship education has become a key way to enhance students' professional ethics and social responsibility. This paper discusses the practical strategy of combining innovation and entrepreneurship education with curriculum ideology and politics in colleges and universities, and puts forward four paths of integration and practice in combination with the application in the medical field. These include enhancing teachers' ideological and political literacy and innovation and entrepreneurship education ability, optimizing curriculum design and teaching methods, constructing and optimizing practice platforms, and improving evaluation mechanisms and incentives, etc., aiming to comprehensively cultivate medical students' professional ethics, sense of social responsibility, and innovation and practice ability. The integration of curriculum ideology not only improves students' professional skills, but also shapes their correct values and sense of social responsibility at the ideological level, and delivers comprehensive medical talents that meet the needs of the new era for the society.

Design and practice of integrating artificial intelligence into the teaching of "Synthetic Biology" under the background of discipline crossing

In recent years, artificial intelligence has been employed to empower synthetic biology, demonstrating great potential in the simulation and prediction of protein structures as well as the design and optimization of regulatory elements and metabolic networks. Integrating artificial intelligence into the teaching of Synthetic Biology is in line with the development trends of synthetic biology and can promote the cultivation of interdisciplinary high-level talents and collaborative innovation. This paper expounds the idea of integrating artificial intelligence into the teaching of Synthetic Biology from establishing interdisciplinary course contents and teaching methods, simultaneously considering the fundamentals and application of artificial intelligence in synthetic biology, cultivating independent learning and innovative practice abilities, and enhancing the ethics education related to artificial intelligence. Furthermore, a system integrating artificial intelligence with the teaching contents of Synthetic Biology is designed, which focuses on supplementing fundamentals of artificial intelligence and incorporating artificial intelligence into the classroom and experimental teaching contents of Synthetic Biology. Moreover, with the course of Synthetic Biology in Jiangnan University as an example, this paper presents the pathway of integrating artificial intelligence into the teaching of this course under the background of discipline crossing. Finally, the teaching effects are expected.

INFLUENCE OF CEO PROFESSIONAL RICHNESS ON THE INNOVATION PERFORMANCE OF LISTED COMPANIES IN THE AI SECTOR

With the rapid development of artificial intelligence (AI) technology, enterprises in the AI sector are becoming an important engine of global economic growth. In this era full of challenges and opportunities, enterprises' innovation performance is critical because it directly determines their long-term competitiveness in the market. The CEO's professional background has a profound impact on the enterprise's strategy formulation, organizational management, and innovation ability as a key decision-maker and strategic leader. Especially in the technology-intensive AI field, the professional richness of the CEO may have a significant impact on the innovation performance of enterprises, which makes it important to theoretically and practically study the impact of the CEO's career background on the innovation performance of enterprises in the AI sector. The widespread application of AI technology has changed the business model and operation mode of many industries, driving enterprises to gain a competitive advantage in the market. Through continuous innovation, AI-sector enterprises improve the function and performance of products to meet the personalized needs of users, thereby increasing market competitiveness and profitability. However, the AI technology innovation process also faces challenges such as high costs, legal and regulatory restrictions, and ethics. In this context, the role of the CEO is particularly critical. How the diversity of his professional background affects the innovation ability of enterprises and their flexibility to respond to market changes still needs further in-depth research and theoretical discussion.

Research on Technological Innovation Capability of Yancheng Prefabricated Construction Industry Based on Patent Information Analysis

In order to improve the innovation capabilities of Yancheng’s prefabricated construction industry, the Dawei Innojoy patent database was used to search the prefabricated construction technology patent literature data of Yancheng and other major cities in the Yangtze River Delta region from 2012 to 2022, and the prefabricated construction patents in Yancheng were analyzed from the number of patent applications. Analysis and research were conducted on trends, application type composition, applicants, technical fields, patent legal status, etc. At the same time, the prefabricated building technology innovation capability evaluation system was constructed, and the factor analysis method was used to compare and analyze the prefabricated building technology patent indicators of Yancheng and major cities in the Yangtze River Delta region. The results show that Yancheng has a small number of patent applications, a small proportion of invention patents, a low patent authorization rate, and a low patent conversion rate, and the industry-university-research chain needs to be opened up. Among the cities in the Yangtze River Delta, Yancheng’s comprehensive innovation ability in prefabricated building technology is medium to low, where it lags behind in terms of the scale and quality of technological innovation and ranks at the forefront of technological innovation operations. Based on this, the article puts forward countermeasures and suggestions for Yancheng’s prefabricated building technology patent applications from three levels, macro, meso, and micro, in order to achieve efficient innovation and promote the high-quality development of Yancheng’s new building industrialization.

Research on the Cultivation of Artificial Intelligence Professionals in Vocational Colleges

With the rapid development of the global economy and the continuous advancement of technology, the artificial intelligence industry has become a new engine for the development of the world economy today. China's vocational colleges have launched a wave of professional construction in the era of artificial intelligence. However, during the construction process, there have been problems such as a mismatch between the level of education and the needs of industry enterprises, a dilemma in the positioning of talent training goals, curriculum construction lagging behind the actual application of enterprises, a lack of teaching staff and low level of specialization, low coupling of demands between school enterprise cooperation, and obvious lag in the construction of practical teaching conditions. In response to technological changes and industrial development trends, vocational colleges should actively take measures to address these issues under the macroeconomic regulation and specific coordination of the government, with the full participation of industry enterprises. To cultivate more high-quality talents with innovative spirit, practical ability, and international competitiveness for the artificial intelligence industry.

Research on Practice Teaching Mode of Electrical Engineering based on Innovative Talent Cultivation

With the rapid development of science and technology, the electrical engineering field has an increasingly urgent need for high-quality talents with innovative spirit. In order to comply with this trend, it is particularly important to build a practical teaching mode of electrical engineering with innovative talent cultivation as the core. The purpose of this paper is to discuss the strategies of improving the innovation ability and practical ability of electrical engineering students by clarifying the teaching objectives, strengthening the combination of theory and practice, innovating the teaching mode, constructing advanced experimental and practical training platforms, deepening the cooperation between schools and enterprises, perfecting the ability assessment and feedback mechanism, constructing a diversified cultivation system, and establishing an effective incentive mechanism.

Smart city construction impact on destination competitiveness: a time-varying difference-in-differences analysis of Chinese prefectural-level cities

Purpose This paper aims to analyze how smart city construction affects destination competitiveness and elucidates the potential mechanisms of digital economy. Also, the regional heterogeneity of smart city construction’s influence on destination competitiveness is discussed. Design/methodology/approach Given the quasi-natural experiment characteristics of China's smart city construction pilot, this study applies a time-varying difference-in-differences approach using a panel dataset of 272 Chinese prefectural-level cities to examine the causal effects of smart city construction on destination competitiveness. Findings Results indicate substantial enhancement of urban destination competitiveness from smart city construction, with this effect escalating annually. Digital infrastructure and digital finance serve as influence mechanisms. The positive impacts of smart city construction on urban tourism competitiveness do not differ by geographic location, rather there are significant differences between cities of different administrative levels. The impact of smart city construction on destination competitiveness is more significant in low administrative level cities. The improvement of economic development level and innovation ability helps to exert the positive impact of smart cities on tourism competitiveness. Originality/value This study constructs a new panel data set for smart city construction and destination competitiveness based on multi-source data and posits a theoretical linkage among smart city construction, digital economy and destination competitiveness. This paper provides invaluable insights on how to boost destination competitiveness by creating smart cities and leveraging the digital economy. Tourism sectors should proactively engage in smart city construction and foster the digital transformation of tourism.