Knowledge contribution from science to technology in the lithium-ion battery domain based on a genetic model

Feng, Sida; Qi, Yabin; Magee, Christopher L.; Zhou, Jingming; Ma, Suli

doi:10.1016/j.est.2022.105671

Cited by 7 publications

(6 citation statements)

References 66 publications

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“…The conclusions of this study offer several theoretical implications. Previous studies explored the direct relationship between science and technological innovation from the perspectives of scientists and scientific knowledge [ 2 , 7 , 8 , 17 ]. This study proposes several new insights into the relationships between scientists and two dimensions of technological performance at the team level.…”

Section: Discussionmentioning

confidence: 99%

“…According to knowledge-based theory, the essence of innovation embraces knowledge creation and application [ 6 ]. Previous studies have addressed the relevance of scientific knowledge in technological development and diffusion [ 7 , 8 ]. Scientists can enhance the knowledge search process and facilitate access to distant knowledge [ 9 ], because of their contribution to invaluable scientific expertise.…”

Section: Introductionmentioning

confidence: 99%

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When and how scientists influence technological performance: A moderated mediation model

Ji,

Song,

Liu

2024

PLoS ONE

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Previous studies have primarily investigated scientists’ direct impact on technological performance. Expanding on this, the study explores the nuanced ways and timing through which scientists influence team-level technological performance. By integrating knowledge-based and network dynamics theories, the study establishes and assesses membership turnover as a significant mediator of the science–technological performance process. Furthermore, it investigates the moderating effects of team internationalization and coreness on the mediation effects. Employing an unbalanced panel dataset from Huawei and Intel from 2000 to 2022, the study applied the Tobit and Negative Binomial models and conducted robustness tests for data analysis. The findings support the indirect influence of scientists within an invention team on the quantity and quality of inventions through membership turnover. Moreover, team internationalization diminishes the relationship between membership turnover and the quantity and quality of inventions, thereby impairing scientists’ indirect effects on technological performance through membership turnover. Team coreness enhances the relationship between membership turnover and the quantity and quality of inventions, strengthening the indirect impact of scientists on these dimensions through membership turnover.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

When and how scientists influence technological performance: A moderated mediation model

Ji,

Song,

Liu

2024

PLoS ONE

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“…centrality) of entities 21 , 22 . Despite this success, there have been few attempts to deduce causal relations in multilayer networks, an aspect fundamental for understanding complex systems such as innovation 23 .…”

Section: Why Do We Need To Understand the Order Of Innovations?mentioning

confidence: 99%

Dynamics of technology emergence in innovation networks

Ho,

Price,

Evans

et al. 2024

Sci Rep

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To create the next innovative product, participants in science need to understand which existing technologies can be combined, what new science must be discovered, and what new technologies must be invented. Knowledge of these often arrives by means of expert consensus or popularity metrics, masking key information on how intellectual efforts accumulate into technological progress. To address this shortcoming, we first present a method to establish a mathematical link between technological evolution and complex networks: a path of events that narrates innovation bottlenecks. Next, we quantify the position and proximity of documents to these innovation paths. The result is an innovation network that more exhaustively captures deterministic knowledge flows with respect to a marketed innovative product. Our dataset, containing over three million biomedical citations, demonstrates the possibility of quantifying the accumulation, speed, and division of labour in innovation over a sixty-year time horizon. The significance of this study includes the (i) use of a purpose-generated dataset showing causal paths from research to development to product; (ii) analysis of the innovation process as a directed acyclic graph; (iii) comparison between calendar time and network time; (iv) ordering of science funders along technology lifecycles; (v) quantification of innovative activities’ importance to an innovative outcome; and (vi) integration of publication, patent, clinical trial, regulatory data to study innovation holistically.

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“…[1] Currently, lithium-ion batteries (LiBs) are the most studied and commercialized energy sources. [2] However, the LiBs have several limitations such as: rigidity, low resistance to mechanical deformations, sensitivity to changes of temperature (which can cause an explosion of the battery), complex architecture, and are bulky/thick. In addition, they contain toxic Li salts, which are toxic for the environment.…”

Section: Introductionmentioning

confidence: 99%

“…The development of smart and flexible electronic products such as flexible screens, artificial electronic skin, healable sensors, and wearable medical devices has promoted the creation of flexible energy‐storage devices such as batteries and supercapacitors [1] . Currently, lithium‐ion batteries (LiBs) are the most studied and commercialized energy sources [2] . However, the LiBs have several limitations such as: rigidity, low resistance to mechanical deformations, sensitivity to changes of temperature (which can cause an explosion of the battery), complex architecture, and are bulky/thick.…”

Section: Introductionmentioning

confidence: 99%

Alloy/Perovskite Compounds Modified by Plasma Treatment and their Role in Enhancing the Capacitance of Sustainable Graphene Supercapacitors

Mendoza,

Floriano‐Limón,

Esquivel‐Castro

et al. 2024

ChemistrySelect

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Graphene electrodes were firstly printed on recycled single‐use‐packets. Later, the Ni50Mn35In15 (NMI) alloy or Ca2.9Nd0.1Co3.9Cu0.1O9, (CNCCO) misfit perovskite was deposited on the graphene electrodes to enhance their capacitive performance. Next, flexible supercapacitors (SCs) were assembled by using such electrodes. The SCs made with NMI and CNCCO powders were named as GNMI‐SC, and GCNCCO‐SC, respectively. Those ones produced capacitances/energy‐densities of 761.8 F g−1/152.6 Wh kg−1 and 207.7 F g−1/41.6 Wh kg−1, respectively. Subsequently, a mixture 1 : 1 of NMI and CNCCO powders was melted/coalesced at 1700 °C by using a plasma treatment in argon atmosphere and obtained in this way a NMI/CNCCO composite powder. The SC made with this last composite generated a capacitance/energy‐density of 1235.2 F g−1/247.3 Wh kg−1. Those last values are 62–500 % higher than these for the GNMI‐SC, and GCNCCO‐SC devices. Other benefits obtained after the introduction of the NMI/CNCCO powders into the SCs were: 1) the formation of additional Cu2+, Mn4+, Nd2+ and In3+ species, which enhanced the capacitance; 2) the capacitance retention was maintained above 93 % after 500 cycles of charge discharge; and 3) the lowest values of series and charge transfer resistances were obtained, which favored the ion diffusion/storage in the SC electrodes.

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Knowledge contribution from science to technology in the lithium-ion battery domain based on a genetic model

Cited by 7 publications

References 66 publications

When and how scientists influence technological performance: A moderated mediation model

When and how scientists influence technological performance: A moderated mediation model

Dynamics of technology emergence in innovation networks

Alloy/Perovskite Compounds Modified by Plasma Treatment and their Role in Enhancing the Capacitance of Sustainable Graphene Supercapacitors

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