Unlock the potential of regional innovation environment: The promotion of innovative behavior from the career perspective

Zhu, Yifan; Liu, Jinlan; Lin, S.-W.; Liang, Kexin

doi:10.1016/j.jik.2022.100206

Cited by 16 publications

(11 citation statements)

References 68 publications

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“…Individuals’ innovative behavior is a source of power to achieve their own sustainable development, 1 and university students (hereinafter, students), as a new force, play an important role in promoting the innovative development of society. 2 The government, enterprises, scientific research institutes, universities, and other groups in various fields are committed to promoting innovation and have achieved remarkable results. 3 However, research on students’ innovative behavior is still in the exploratory stage.…”

Section: Introductionmentioning

confidence: 99%

“…With respect to research subjects, those who engage in innovative behavior include enterprise employees, 2 scientific researchers, 10 entrepreneurs, 11 teachers, 12 and students. 13 The key to innovation in colleges and universities depends upon students, and their innovative behavior determines the competitiveness of colleges and universities and even the country to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Personal Motivation and Innovative Climate on Innovative Behavior: Evidence from University Students in China

Dai¹,

Dai²,

Zhang³

et al. 2022

PRBM

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Drawing on the motivation theory, this study investigated the effect and consequences of personal motivation and innovative climate on innovative behavior among university students in mainland China. The study also examined whether the effect of personal motivation and innovative climate on Chinese university students' innovative behavior is heterogeneous between disciplines and place of residence. Methods: A quantitative study was conducted to test the hypotheses. Data were collected from 245 undergraduate students at Chinese universities with paper-based questionnaires. Self-report scales were used to measure levels of personal motivation, innovative climate, and innovative behaviors. A confirmatory factor analysis was used to test the scale and questionnaire's reliability and validity. The logistic model was applied to analyze the data and test the hypotheses. Results: Personal motivation and innovative climate have significant effects on Chinese university students' innovative behavior. The effect of personal motivation and innovative climate on students' innovative behavior is heterogeneous between disciplines and place of residence. Further, extrinsic motivation serves as a positive incentive. Mentor support, good academic climate, and knowledge sharing affect students' innovative behavior positively. However, insufficient guaranteed resources has a significant negative influence. The data demonstrated no statistically significant difference between intrinsic motivation and students' innovative behavior. Conclusion:This study contributes to the empirical literature on mechanisms that influence innovative behavior by testing the relation between personal motivation, innovative climate, and innovative behavior on the part of Chinese university students. In addition, these findings also provide evidence for ways to improve university students' innovative consciousness and innovative ability, as well as universities' management practice of innovative education.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Influence of Personal Motivation and Innovative Climate on Innovative Behavior: Evidence from University Students in China

Dai¹,

Dai²,

Zhang³

et al. 2022

PRBM

View full text Add to dashboard Cite

show abstract

“…The collected survey material was subjected to a reliability (internal consistency) analysis of the indicators calculated from each group of questions based on Cronbach's α coefficient (this method is used in similar studies, including, among others, Zheng, Hu, and Yang [51] and Zhu, Liu, Lin, and Liang [52]). Due to the ordinal nature of the responses to the questions, Cronbach's α coefficient was calculated based on polychoric correlation coefficients [53,54].…”

Section: Methodsmentioning

confidence: 99%

Do Regional Smart Specialization Strategies Affect Innovation in Enterprises?

Kogut-Jaworska,

Ociepa-Kicińska

2023

Sustainability

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According to the European Commission, the smart specialization strategy is intended as a response to complex development challenges and a tool for stimulating innovation at the regional level. At the same time, it is known that the conditions in which businesses operate, including institutional framework, socio-economic aspects, infrastructure and forms of business support, do not always meet their needs. The research and analyses carried out in this study were aimed at testing the relationships mainly between the external activities that most create/develop innovation in enterprises, networking within the innovation ecosystem, and barriers inhibiting innovation development. For this purpose, 250 survey interviews were conducted with representatives of innovative enterprises from five regions in Poland. Our research and analyses have shown that regions make considerable efforts to comprehensively define rather complex RIS3 (Research and Innovation Smart Specialization Strategy) policy priorities, while in reality these priorities often do not coincide with the expectations of entrepreneurs.

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“…e covariance array 􏽐 of X is a nonnegative definite, assuming that the roots of equation ( 11) are λ i , and λ 1 ≧λ 2 ≧ ... ≧λ p ≧ 0, where i � 1, 2, ..., p. e variance of Y 2 is λ 2 from equation (12); then, the maximum variance of Y 2 is λ 2 , and the corresponding unitized eigenvector is T 2 .…”

Section: Principal Component Analysismentioning

confidence: 99%

“…Sun et al [10] refined financial development indicators and analyzed the mechanism of financial development on technological innovation from the aspects of development scale, structure, and financial ecological environment. e effect of finance on S&T innovation is a double-edged sword, and finance can positively promote S&T innovation through credit constraint easing effect, resource allocation effect, external scale effect, and reverse crowding-out effect through excessive competition effect and cost effect [1,[11][12][13][14][15]. Whether the agglomeration of the financial industry has a positive or negative impact on S&T innovation depends on the relative magnitude of its positive promotion and reverse extrusion.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Impact Analysis of Financial Support on Regional Science and Technology Innovation and Productivity Based on the Multivariate Statistical Model

Liu

2022

Mathematical Problems in Engineering

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Science and technology (S&T) innovation is a significant driving force for regional productivity, and strong financial support can effectively promote S&T innovation. As the regional main body of S&T innovation, the first thing that enterprises need to address is the demand for funds. Internal funds are needed to maintain the overall daily operation of enterprises, and regional science and technology innovation funds mainly come from external financial support. Using the factor analysis method, multiple indicators were adopted to comprehensively evaluate the level of S&T innovation in each province and city as the variables and financial scale, financial structure, and financial efficiency as the variables, and the impact of financial support on science and technology innovation in four major regions was empirically studied using a panel data model. The degree of development of banking institutions and capital markets in different regions of China varies, and the financial system’s support for China’s S&T innovation varies widely. Therefore, it is important to study the impact of financial support on science and technology innovation among different regions in China for the balanced development of China’s regions.

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Unlock the potential of regional innovation environment: The promotion of innovative behavior from the career perspective

Cited by 16 publications

References 68 publications

The Influence of Personal Motivation and Innovative Climate on Innovative Behavior: Evidence from University Students in China

The Influence of Personal Motivation and Innovative Climate on Innovative Behavior: Evidence from University Students in China

Do Regional Smart Specialization Strategies Affect Innovation in Enterprises?

Quantitative Impact Analysis of Financial Support on Regional Science and Technology Innovation and Productivity Based on the Multivariate Statistical Model

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