Knowledge Exploitation, Inventor Characteristics, and Green Innovation Performance in Automotive Firms DOI Creative Commons
Yutong Liu, Seung‐Yoon Rhee, Eunjung Hyun

et al.

Systems, Journal Year: 2024, Volume and Issue: 13(1), P. 6 - 6

Published: Dec. 26, 2024

Optimizing knowledge exploitation strategies is a crucial challenge in promoting sustainable technology development. This study investigates how innovation characteristics, inventor attributes, and network structures influence the effectiveness of these firms’ green transition efforts. Our focuses on automotive industry—a sector characterized by long development cycles, high capital intensity, strong path dependencies—as it undergoes significant towards technologies. Using patent data from Korean industry, we uncover nuanced dynamics refinement enhancement knowledge. While generally boosts innovative performance, this effect significantly stronger for innovations. Interestingly, levels experience technologies weaken positive impact exploitation—a finding that challenges conventional expectations. Network structure also plays pivotal yet often overlooked role: cohesion reduces benefits exploitation, while broad range enhances them. By shedding light hidden contributions individual inventors their networks, deepen our understanding micro-foundations within sustainability transitions. findings offer valuable insights managers seeking to enhance industries undergoing technological shifts toward sustainability. We highlight previously underappreciated conditions under which are most effective factors can be leveraged elevate performance through strategic enhancement.

Language: Английский

The Impact of Industrial Internet Platform on Low-Carbon Innovation and Performance of Manufacturing Firms DOI

Xiaomin Zhao,

Jiahui Li

Published: Jan. 1, 2025

Language: Английский

Citations

0
Green innovation in human-centric smart manufacturing DOI
Wang Jing, Tingting Dong,

Dahua Peng

et al.

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 22, 2025

Purpose Green innovation in human-centric smart manufacturing (HSM-GI) has emerged as a new paradigm management for Industry 5.0. The evaluation analysis method is crucial measuring the development progress and guiding continual improvements of HSM-GI. Since this process HSM-GI can be regarded complex interactive, holistic picture often required to describe interrelations its antecedents consequences. In respect, study aims construct causality network indicator system proposes synergy Design/methodology/approach Firstly, based on Driver force-State-Response (DSR) causal-effect framework, constructs analyze interactions between environmental human concerns Secondly, owing imprecision cognition interaction process, flexible hesitant fuzzy (HF) superiority-inferiority synergetic presented. This quantifies strengths causal relationships expresses incentives constraints attitudes humans. Finally, proposed framework applied six HSMs electronic technology industry. Findings driving force state exhibit an upward trend, while response continues decline due changing market demands. order degree have shown increasing trend during 2021–2023, particularly significant BOE Haier Smart Home. systems with higher scores mostly functional coordination coherent structure. Originality/value demonstrates approach’s applicability assists policymakers formulating targeted strategies green systems.

Language: Английский

Citations

0
Review: application of green manufacturing processes in precision machining of automotive components DOI Open Access
Yang Qiao, Wuyi Ming

Green Manufacturing Open, Journal Year: 2025, Volume and Issue: 3(1)

Published: March 8, 2025

Green manufacturing technology is a key pathway for achieving sustainable development in modern particularly the precision machining of automotive components. This study provides comprehensive overview core elements green manufacturing, focusing on four aspects: material selection, energy efficiency optimization, waste minimization, and recycling remanufacturing. The review also examines application advanced technologies, such as laser digital twins, process, highlighting their effectiveness through case studies transmission gears engine results demonstrate that processes can significantly reduce consumption generation, while improving utilization production efficiency. However, high cost equipment steep technical requirements remain significant barriers to widespread adoption. Looking forward, advancements intelligence digitalization are expected drive further progress supporting industry’s transition low-carbon future.

Language: Английский

Citations

0
Can Intelligent Manufacturing Reduce Corporate Carbon Emissions? Empirical Evidence from China’s Listed Manufacturing Firms DOI
Xiaozhen Pan,

Siqi Lin

Emerging Markets Finance and Trade, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: April 7, 2025

Language: Английский

Citations

0
Dynamic simulation of policy-driven green technology innovation networks: Digital empowerment and collaborative efficiency DOI Creative Commons
Ling Jin, Guilong Li, Jiaping Xie

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e36622 - e36622

Published: Aug. 1, 2024

To delve into the intricate dynamics of green innovation, it is imperative to establish a policy-driven innovation network and optimize its multi-entity collaborative mechanism. Given dynamic complexity technological composed multiple entities, this paper examines interactions among four subsystems based on system (SD) simulation: resource input, performance, policy-driven, digital empowerment subsystem. Furthermore, we analyze combined effects initiatives role platforms in facilitating efficiency empirical evidence. The results indicate that: (1) Government can effectively promote development by enforcing stronger environmental regulations, such as increasing carbon trading price, while enhancing emission reduction innovative products. (2) Increased per capita R&D investment, along with financial, tax, fiscal incentives for will increase rate achievements. (3) should strengthen talent policy during anticipated increases numbers reduce intensity introductions expected declines. (4) By implementing incentive policies develop S&T platforms, government broaden cooperation, promotes aggregation, leverages cohort effects.

Language: Английский

Citations

2
Application of Digital Gamification Systems in Intelligent Automated Learning DOI

Chein-Hui Lee,

Evelyn Saputri,

Min-Chi Chiu

et al.

Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 177 - 188

Published: Jan. 1, 2024

Language: Английский

Citations

0
A Comparative Analysis of Carbon Tax Strategies Basing on Outsourcing Remanufacturing: Differential VS Progressive DOI
Xiqiang Xia, Jiangwen Li, Senlin Zhao

et al.

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: unknown, P. 109501 - 109501

Published: Dec. 1, 2024

Language: Английский

Citations

0
Extended Guest Editorial: Smart Product Platforming in the Industry 4.0 Era and Beyond DOI Creative Commons
Linda L. Zhang, Jianxin Jiao,

George Huang

et al.

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: unknown, P. 109490 - 109490

Published: Dec. 1, 2024

Language: Английский

Citations

0
Knowledge Exploitation, Inventor Characteristics, and Green Innovation Performance in Automotive Firms DOI Creative Commons
Yutong Liu, Seung‐Yoon Rhee, Eunjung Hyun

et al.

Systems, Journal Year: 2024, Volume and Issue: 13(1), P. 6 - 6

Published: Dec. 26, 2024

Optimizing knowledge exploitation strategies is a crucial challenge in promoting sustainable technology development. This study investigates how innovation characteristics, inventor attributes, and network structures influence the effectiveness of these firms’ green transition efforts. Our focuses on automotive industry—a sector characterized by long development cycles, high capital intensity, strong path dependencies—as it undergoes significant towards technologies. Using patent data from Korean industry, we uncover nuanced dynamics refinement enhancement knowledge. While generally boosts innovative performance, this effect significantly stronger for innovations. Interestingly, levels experience technologies weaken positive impact exploitation—a finding that challenges conventional expectations. Network structure also plays pivotal yet often overlooked role: cohesion reduces benefits exploitation, while broad range enhances them. By shedding light hidden contributions individual inventors their networks, deepen our understanding micro-foundations within sustainability transitions. findings offer valuable insights managers seeking to enhance industries undergoing technological shifts toward sustainability. We highlight previously underappreciated conditions under which are most effective factors can be leveraged elevate performance through strategic enhancement.

Language: Английский

Citations

0