Analysing the theoretical roots of technology emergence: an evolutionary perspective

Burmaoğlu, Serhat; Sartenaer, Olivier; Porter, Alan L.; Li, Munan

doi:10.1007/s11192-019-03033-y

Cited by 19 publications

(5 citation statements)

References 50 publications

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“…However, the technological evolutionary perspective contends that too much emphasis on prior knowledge leads to technological similarity and evolutionary progressivity. In turn, it will lead to higher technological lock-in and path dependency (Burmaoglu et al, 2019 ). In addition, more distant technology integration may lead to high costs (Todo et al, 2016 ), and uncertainty (Kaplan and Vakili, 2015 ), and thus negatively affect innovation quality promotion.…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, according to the technological evolution view, too much emphasis on prior knowledge leads to technological similarity and evolutionary progressivity. It may bring higher technology lock-in and path dependency in the innovation process (Burmaoglu et al, 2019 ). Thus, to overcome this limitation, highly differentiated but complementary knowledge in different fields is necessary for technological progress (Costantini et al, 2015 ; Wang et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

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Heterogeneous knowledge spillover channels in universities and green technology innovation in local firms: Stimulating quantity or quality?

Nie

Gong²,

Zhao³

et al. 2022

Front. Psychol.

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Sluggish status of green technology development has stimulated research into new incentives and pathways. Beyond the traditional regulatory-push and demand-pull approaches, we reposition the strength of the technology push. Based on the innovation diffusion theory, a multidimensional path model of knowledge spillover in universities is constructed, and the impact of heterogeneous knowledge spillover channels on green innovation activities of local firms is discussed. We find that R&D collaboration has a significant effect on local firms' quality but not the quantity of green innovation. Contrarily, patent citations and technology transfer have unequal positive effects on the quantity of green innovation of local firms, while there is no evidence that they can also improve the quality of green innovation. Despite regional disparities, strict environmental regulations are pushing companies to cite university patents in some regions. The university knowledge stock has largely contributed to both quantitative and qualitative advances in subsequent green innovation in local firms. Our conclusions provide a precise and objective evaluation of the impact mechanism of multiple knowledge spillover channels in universities on firms' green innovation, as well as a reference for the selection of the form of industry–university–research collaboration.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Heterogeneous knowledge spillover channels in universities and green technology innovation in local firms: Stimulating quantity or quality?

Nie

Gong²,

Zhao³

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…In this situation, the risk of the core technical knowledge of the knowledge spillover producer being leaked increases, and competitors can quickly achieve technological catch-up and product substitution through excessive knowledge transfer and opportunism ( Brockman et al, 2018 ; Ye, 2022 ), depriving the knowledge producer of their initial competitive advantages and causing the decrescence in employees’ enthusiasm as spillovers for knowledge flow. Second, the technology evolution theory shows that excessive emphasis on prior knowledge would result in technological similarity and incremental evolution, thus the potential knowledge locked-in or path dependence occurs ( Burmaoglu et al, 2019 ). Schilling and Green (2011) contended that valuable innovation often comes from diverse knowledge systems.…”

Section: Literature Reviewmentioning

confidence: 99%

The moderating effect of psychological trust on knowledge spillovers and firms’ open innovation

et al. 2022

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Psychological trust is an important link in building interpersonal relationships and has a significant impact on the attitude and behavior of knowledge subjects. Based on the characteristics of knowledge attributes, this paper analyzed the data of 180 high-tech firms in China from 2014 to 2020 to deeply explore the effects of explicit knowledge spillover and tacit knowledge spillover on firms’ open innovation, and the moderating effect of psychological trust on the relationship between the two. It is found that: first, explicit knowledge spillover and tacit knowledge spillover have an inverted U-shaped relationship with firms’ open innovation, i.e., the effect of open innovation increases and then decreases as the degree of knowledge spillover increases; second, psychological trust positively moderates the non-linear relationship between knowledge spillover and firms’ open innovation. This paper provides a rational explanation of firms’ management behavior from a psychological perspective, and enriches and expands the research related to knowledge spillover, firms’ open innovation and psychological trust. It is suggested that firms should pay more attention to inter-organizational trust relationships and pay attention to the psychological growth and development of knowledge employees to improve open innovation in firms.

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“…ERTs potentially yield 'benefits for a wide range of sectors' [67], 'create a new industry or transform existing ones' [68], 'exert much enhanced economic influence' [69] or change 'the basis of competition' [70]. Burmaoglu et al [71] examined the emergence of discussions to understand the evolution of related concepts. They qualitatively reviewed the philosophy and complexity of science and several economic studies based on the 'emergence' concept, finding that it has primarily been used to describe unexpected and surprising events.…”

Section: Connotation Of Ertsmentioning

confidence: 99%

Breakthrough potential of emerging research topics based on citation diffusion features

Winnink

Pang

et al. 2022

Journal of Information Science

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This article uses the characteristics of citation curves in emerging research topics (ERTs) and combines them with the ERTs’ knowledge bases to draw conclusions by comparing their development patterns. The goal of this study is to enrich the toolset for predicting breakthroughs in scientific research. A set of multidimensional and practical bibliometric indicators is used to identify ERTs, to further identify the knowledge bases of ERTs and construct citation curves for both ERTs and their knowledge bases. The development trends of the citation curves of ERTs and their knowledge bases in different time periods are compared and analysed from two dimensions: knowledge transition and continuous growth. We use the field of stem cell research to test our method. Based on the outcome of the analysis, we can assess the breakthrough potential of ERTs. The stratification, transition and recent changes of the citation curve can be used as a basis for analysing and assessing the ERTs’ breakthrough potential. The combination of different citation diffusion patterns of ERTs and their knowledge bases can improve the effectiveness of identifying ERTs that can become breakthrough innovations.

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Analysing the theoretical roots of technology emergence: an evolutionary perspective

Cited by 19 publications

References 50 publications

Heterogeneous knowledge spillover channels in universities and green technology innovation in local firms: Stimulating quantity or quality?

Heterogeneous knowledge spillover channels in universities and green technology innovation in local firms: Stimulating quantity or quality?

The moderating effect of psychological trust on knowledge spillovers and firms’ open innovation

Breakthrough potential of emerging research topics based on citation diffusion features

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