Innovation in the University: Perception, Monitoring and Satisfaction

Sanz, Raquel Arguedas; Vírseda, Juan Antonio Vicente; García, Rodrigo Martín; Arias, Julio González

doi:10.1109/rita.2018.2862721

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…PEFFCH is the change of technical efficiency under the assumption of variable returns to scale. The relationship among them can be expressed as ML=EFFCH×TECH=PEFFCH×SEFFCH×TECH [45].…”

Section: B Influencing Factorsmentioning

confidence: 99%

The Scientific and Technological Innovation Performance of Chinese World-Class Universities and its Influencing Factors

Chen

Shu

2021

IEEE Access

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This paper explores the scientific & technological innovation performance of world-class universities in China from 2014 to 2019, based on the super-efficiency DEA model and Malmquist index. Then we provide a novel fivedimensional analysis framework to research influencing factors of their S&T innovation efficiency with the Tobit-DEA model. The results show that 36.6% of the sample universities are DEA efficient, and their efficiency varies according to their type and location. Besides, the technical efficiency index of universities is relatively high and the total factor productivity is volatile, which are reflected in the ability of transforming scientific research achievements into practical productivity. From the perspective of dynamic analysis, the sample universities expand slowly in the frontier of S&T innovation efficiency. In addition, the S&T innovation performance is highly related to the input quality and matching structure of scientific research elements, government relevance, and industry-academia-research collaboration level. Among these main factors, the high proportion of full-time teachers with senior titles, reasonable resource allocation structure and government support have significant positive impact, whereas the number of participants in international academic has negative impact. INDEX TERMSInfluencing factor, Malmquist index, scientific & technological innovation, superefficient DEA model, world-class university.

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“…PEFFCH is the change of technical efficiency under the assumption of variable returns to scale. The relationship among them can be expressed as ML=EFFCH×TECH=PEFFCH×SEFFCH×TECH [45].…”

Section: B Influencing Factorsmentioning

confidence: 99%

The Scientific and Technological Innovation Performance of Chinese World-Class Universities and its Influencing Factors

Chen

Shu

2021

IEEE Access

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“…• Employment status (Calvert, 2014;Johnson, A. B., 2017;Sanz et al, 2018); time issues or lack of time (Inkelaar & Simpson, 2015;Johnson, C., 2015); work / life / family commitments (Franklin, 2015;Shea & Bidjerano, 2016).…”

Section: Environment Factors 48 3478mentioning

confidence: 99%

Dropout in online higher education. A scoping review from 2014 to 2018

Meneses

Xavier

2020

Universitat Oberta De Catalunya (UOC)

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Online higher education continues to grow, yet its high dropout rates remain a pressing and complex problem. This article presents a scoping review of the recent literature on the theme, focusing on dropout definitions, concepts, and models, study domains and themes, methodological approaches, and findings. A search of relevant databases yielded 138 articles and dissertations. Findings reveal a complex yet disorganized field, lacking standard definitions and models. The bulk of current research is focused on risk factors; the most important ones were course and program factors (student support), student factors (motivation, time management skills, and satisfaction), and environmental factors (time- and financial-related issues). Future research should strive to achieve greater consistency in terminology, methods, and measurement, develop new intervention strategies and produce reliable effectiveness information. Further implications of these findings for future dropout research and the limitations of the study are discussed.

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Academic Monitoring and Support from Teachers and School Satisfaction: The Sequential Mediation Effect of Hope and Academic Grit

Peker

Cengiz

2023

Child Ind Res

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Innovation in the University: Perception, Monitoring and Satisfaction

Cited by 6 publications

References 11 publications

The Scientific and Technological Innovation Performance of Chinese World-Class Universities and its Influencing Factors

The Scientific and Technological Innovation Performance of Chinese World-Class Universities and its Influencing Factors

Dropout in online higher education. A scoping review from 2014 to 2018

Academic Monitoring and Support from Teachers and School Satisfaction: The Sequential Mediation Effect of Hope and Academic Grit

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