Journal of Innovation & Knowledge最新文献

英文中文

The knowledge of ethical AI decision-making: A behavioral economics perspective 伦理人工智能决策的知识：行为经济学视角

IF 18.1 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-02-05 DOI: 10.1016/j.jik.2026.100967

Rita Bužinskienė, Astrida Miceikienė, Álvaro Hernández-Tamurejo, José Ramón Saura

引用次数: 0

Digital leadership, digital platform capability and digital business model innovation of start-ups 初创企业的数字化领导力、数字化平台能力和数字化商业模式创新

IF 18.1 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-02-04 DOI: 10.1016/j.jik.2026.100970

Xiaozhou Ding

引用次数: 0

Organisational self-identity policy analyser: An innovative AI-driven approach 组织自我认同政策分析：一种创新的人工智能驱动方法

IF 18.1 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-02-04 DOI: 10.1016/j.jik.2026.100972

Dr. Aliyu Sani Sambo, Dr. Dennis Gabriel Pepple

引用次数: 0

Disclosing the twin transition: digital and green transformation in Italian universities from an institutional perspective 揭示双重转型：从制度角度看意大利大学的数字化和绿色转型

IF 18.1 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-02-04 DOI: 10.1016/j.jik.2026.100964

Claudia Spilotro, Michele Posa, Giustina Secundo, Ivano De Turi

引用次数: 0

Why proximity to regional innovation centers matters: A new perspective on green innovation bubbles 为什么靠近区域创新中心很重要：绿色创新泡沫的新视角

IF 18.1 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-02-03 DOI: 10.1016/j.jik.2026.100966

Teng Wang, Jiaoren Lu, Xiaotong Li

引用次数: 0

Exploring configurations of industrial internet platforms’ empowerment for the integration of industrial and innovation chains: An fsQCA approach 探索工业互联网平台对产业链与创新链整合的赋能配置：fsQCA方法

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-31 DOI: 10.1016/j.jik.2026.100962

Haijun Wang, Huiyan Zhao

Amid the challenges arising from deglobalization and market volatility, modernizing industrial systems requires the integration of industrial and innovation chains (“dual-chain integration”). Industrial internet platforms (IIP) have demonstrated potential to facilitate dual-chain integration, but their empowerment mechanisms remain theoretically and practically underspecified. To address this research gap, this study examines how platform capabilities drive dual-chain integration through a configuration analysis of 46 IIP cases. Applying the technology-organization-environment (TOE) framework with necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA), we identify three distinct platform empowerment patterns: technology-organization internal drive, multi-core resonance dominant, and ecological embedded leap. Resource integration capability consistently emerges as a universal empowerment factor across all pathways. Under specific objective conditions, the innovation capabilities of architecture and industry foundation of IIP can achieve high levels of dual-chain integration through equivalent substitutions. This study constructs a context-adaptive theoretical framework, providing a new analytical paradigm for addressing the pathway dependency issues in empowering the dual-chain integration of IIP.

面对去全球化和市场波动带来的挑战，工业体系现代化需要产业链和创新链的整合（“双链整合”）。工业互联网平台（IIP）已显示出促进双链整合的潜力，但其授权机制在理论和实践中仍未明确。为了解决这一研究缺口，本研究通过对46个IIP案例的配置分析，考察了平台能力如何推动双链集成。运用技术-组织-环境（TOE）框架，结合必要条件分析（NCA）和模糊集定性比较分析（fsQCA），我们确定了三种不同的平台赋能模式：技术-组织内部驱动、多核共振主导和生态嵌入式飞跃。资源集成能力始终作为跨所有途径的普遍授权因素出现。在特定的客观条件下，IIP的架构创新能力和产业基础创新能力可以通过等效替代实现高水平的双链整合。本研究构建了一个情境适应的理论框架，为解决国际知识产权双链整合中的路径依赖问题提供了一个新的分析范式。

{"title":"Exploring configurations of industrial internet platforms’ empowerment for the integration of industrial and innovation chains: An fsQCA approach","authors":"Haijun Wang, Huiyan Zhao","doi":"10.1016/j.jik.2026.100962","DOIUrl":"10.1016/j.jik.2026.100962","url":null,"abstract":"<div><div>Amid the challenges arising from deglobalization and market volatility, modernizing industrial systems requires the integration of industrial and innovation chains (“dual-chain integration”). Industrial internet platforms (IIP) have demonstrated potential to facilitate dual-chain integration, but their empowerment mechanisms remain theoretically and practically underspecified. To address this research gap, this study examines how platform capabilities drive dual-chain integration through a configuration analysis of 46 IIP cases. Applying the technology-organization-environment (TOE) framework with necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA), we identify three distinct platform empowerment patterns: technology-organization internal drive, multi-core resonance dominant, and ecological embedded leap. Resource integration capability consistently emerges as a universal empowerment factor across all pathways. Under specific objective conditions, the innovation capabilities of architecture and industry foundation of IIP can achieve high levels of dual-chain integration through equivalent substitutions. This study constructs a context-adaptive theoretical framework, providing a new analytical paradigm for addressing the pathway dependency issues in empowering the dual-chain integration of IIP.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100962"},"PeriodicalIF":15.5,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

When does artificial intelligence innovation pay in servitization? A combined organizational learning and socio-technical systems perspective 人工智能创新什么时候会带来服务化？结合组织学习和社会技术系统的观点

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-30 DOI: 10.1016/j.jik.2026.100960

Kaining Yan , Xue Pang , Qingxue Li , Ge Tian , Xinyu Dong

Artificial intelligence (AI) innovation is often celebrated as a powerful catalyst for servitization, yet its revenue implications remain paradoxical and underexplored. Building on organizational learning theory and socio-technical systems theory, this study theorizes and tests the nonlinear influence of AI innovation on firms’ service revenue, using panel data from 796 Chinese manufacturing firms between 2015 and 2022. It reveals an inverted U-shaped relationship, suggesting that while AI innovation initially enhances revenue through exploratory learning and customer value creation, excessive reliance may induce organizational rigidity and misaligned priorities that erode service outcomes. Moreover, coordination capability stabilizes AI innovation by moderating both its benefits and risks, while human capital amplifies these dual effects. These findings transcend the prevailing view of AI as a uniformly positive enabler, offering a more nuanced understanding of how organizational and technical subsystems interact to shape the trajectory of service-led growth.

人工智能（AI）创新通常被誉为服务化的强大催化剂，但其对收入的影响仍然是矛盾的，而且尚未得到充分探索。基于组织学习理论和社会技术系统理论，本研究利用2015年至2022年796家中国制造业企业的面板数据，对人工智能创新对企业服务收入的非线性影响进行了理论化和检验。它揭示了一种倒u型关系，表明虽然人工智能创新最初通过探索性学习和客户价值创造来提高收入，但过度依赖可能会导致组织僵化和优先事项不一致，从而侵蚀服务成果。此外，协调能力通过调节其收益和风险来稳定人工智能创新，而人力资本则放大了这双重效应。这些发现超越了人工智能作为统一积极推动者的普遍观点，提供了对组织和技术子系统如何相互作用以塑造服务主导增长轨迹的更细致的理解。

{"title":"When does artificial intelligence innovation pay in servitization? A combined organizational learning and socio-technical systems perspective","authors":"Kaining Yan , Xue Pang , Qingxue Li , Ge Tian , Xinyu Dong","doi":"10.1016/j.jik.2026.100960","DOIUrl":"10.1016/j.jik.2026.100960","url":null,"abstract":"<div><div>Artificial intelligence (AI) innovation is often celebrated as a powerful catalyst for servitization, yet its revenue implications remain paradoxical and underexplored. Building on organizational learning theory and socio-technical systems theory, this study theorizes and tests the nonlinear influence of AI innovation on firms’ service revenue, using panel data from 796 Chinese manufacturing firms between 2015 and 2022. It reveals an inverted U-shaped relationship, suggesting that while AI innovation initially enhances revenue through exploratory learning and customer value creation, excessive reliance may induce organizational rigidity and misaligned priorities that erode service outcomes. Moreover, coordination capability stabilizes AI innovation by moderating both its benefits and risks, while human capital amplifies these dual effects. These findings transcend the prevailing view of AI as a uniformly positive enabler, offering a more nuanced understanding of how organizational and technical subsystems interact to shape the trajectory of service-led growth.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100960"},"PeriodicalIF":15.5,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The implications of innovation in traditional industries: Revitalizing mature economic sectors 传统产业创新的意义：振兴成熟的经济部门

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-28 DOI: 10.1016/j.jik.2026.100959

Alexandru-Mihai Bugheanu , Oana Pricopoaia , Camelia Madalina Beldiman , Ion Popa , Nicoleta Cristache , Dorin Iancu , Ioana Lazarescu

This research explores the implications of innovation in traditional industries in response to the need to deploy digital technologies to revitalize mature economic sectors. Despite being essential to regional and national economies, traditional industries face challenges due to globalization and new technologies. Embracing modern technologies can enable such industries to respond to these challenges, thereby revitalizing mature economic sectors and creating opportunities for economic growth. This study emphasizes the value of working with local communities to preserve craft techniques and the role of innovations in vocational training covering business management and digital marketing. The study also emphasizes the importance of partnerships between traditional manufacturers and companies in modern industries and the creation of innovative products that combine advanced technologies with traditional manufacturing methods. Furthermore, it emphasizes the relevance of implementing green innovations and their impact on the sustainability of traditional industries. SmartPLS 4 software was used to perform partial least squares structural equation modeling (PLS-SEM). The analysis provides detailed indications of how technological innovations can transform traditional industries. The results can be applied to support the adoption of innovative strategies to foster the development and modernization of traditional industries. The study has implications on many levels, from developing regional economies and improving the sustainability of traditional industries to creating opportunities for training and cross-sector collaboration.

本研究探讨了传统产业创新的意义，以响应部署数字技术以振兴成熟经济部门的需求。尽管传统产业对地区和国家经济至关重要，但由于全球化和新技术的发展，传统产业面临着挑战。采用现代技术可以使这些工业能够应对这些挑战，从而使成熟的经济部门恢复活力，并为经济增长创造机会。这项研究强调了与当地社区合作以保留工艺技术的价值，以及创新在职业培训中的作用，包括商业管理和数字营销。该研究还强调了传统制造商与现代工业公司之间的伙伴关系以及将先进技术与传统制造方法相结合的创新产品的重要性。此外，它还强调了实施绿色创新的相关性及其对传统工业可持续性的影响。使用SmartPLS 4软件进行偏最小二乘结构方程建模（PLS-SEM）。分析提供了技术创新如何改变传统产业的详细迹象。研究结果可用于支持采用创新战略，促进传统产业的发展和现代化。这项研究对许多层面都有影响，从发展区域经济和改善传统工业的可持续性，到创造培训和跨部门合作的机会。

{"title":"The implications of innovation in traditional industries: Revitalizing mature economic sectors","authors":"Alexandru-Mihai Bugheanu , Oana Pricopoaia , Camelia Madalina Beldiman , Ion Popa , Nicoleta Cristache , Dorin Iancu , Ioana Lazarescu","doi":"10.1016/j.jik.2026.100959","DOIUrl":"10.1016/j.jik.2026.100959","url":null,"abstract":"<div><div>This research explores the implications of innovation in traditional industries in response to the need to deploy digital technologies to revitalize mature economic sectors. Despite being essential to regional and national economies, traditional industries face challenges due to globalization and new technologies. Embracing modern technologies can enable such industries to respond to these challenges, thereby revitalizing mature economic sectors and creating opportunities for economic growth. This study emphasizes the value of working with local communities to preserve craft techniques and the role of innovations in vocational training covering business management and digital marketing. The study also emphasizes the importance of partnerships between traditional manufacturers and companies in modern industries and the creation of innovative products that combine advanced technologies with traditional manufacturing methods. Furthermore, it emphasizes the relevance of implementing green innovations and their impact on the sustainability of traditional industries. SmartPLS 4 software was used to perform partial least squares structural equation modeling (PLS-SEM). The analysis provides detailed indications of how technological innovations can transform traditional industries. The results can be applied to support the adoption of innovative strategies to foster the development and modernization of traditional industries. The study has implications on many levels, from developing regional economies and improving the sustainability of traditional industries to creating opportunities for training and cross-sector collaboration.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100959"},"PeriodicalIF":15.5,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Building the efficiency bridge: Artificial intelligence innovation, high-growth firms and industry competition through governance 搭建效率桥梁：人工智能创新、高增长企业和通过治理实现的行业竞争

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-28 DOI: 10.1016/j.jik.2026.100961

Xikai Yu , Kanghao Chen , Zongqiang Ren

High-growth firms serve as vital drivers of economic vitality; however, sustaining their rapid growth remains a formidable challenge. Although researchers widely regard artificial intelligence (AI) innovation as a key competitive advantage, the specific mechanisms through which it fosters high-growth firms remain underexplored. We analyse 20,178 firm–year observations from China (2007–2022) using technology affordance actualisation theory to investigate this relationship. Results show that AI innovation drives high growth primarily by enhancing firm efficiency. Particularly, we identify a critical contingency: the intensity of industry competition negatively moderates the effect of AI innovation on firm efficiency. A novel finding reveals that board size conditions whether this moderating effect persists. Specifically, industry competition undermines efficiency gains only in firms with small boards, thereby hindering high growth. By contrast, large boards nullify this negative effect, enabling AI innovation to drive firms towards high-growth status even under competitive pressure. Our study theoretically advances the literature by elucidating the contingent role of industry competition and establishing board size as a crucial governance mechanism that determines the success of AI innovation in promoting high growth.

高增长企业是经济活力的重要动力；然而，保持它们的快速增长仍然是一项艰巨的挑战。尽管研究人员普遍认为人工智能（AI）创新是一项关键的竞争优势，但它培育高增长企业的具体机制仍未得到充分探索。我们分析了来自中国（2007-2022）的20,178个公司年度观察结果，使用技术服务实现理论来研究这种关系。结果表明，人工智能创新主要通过提高企业效率来推动高增长。特别是，我们发现了一个关键的偶然性：行业竞争的强度负向调节人工智能创新对企业效率的影响。一项新的发现表明，董事会大小决定了这种调节效应是否持续存在。具体来说，行业竞争只会在董事会规模较小的公司中破坏效率的提高，从而阻碍高增长。相比之下，大型董事会抵消了这种负面影响，使人工智能创新即使在竞争压力下也能推动公司走向高增长。我们的研究从理论上推进了相关文献，阐明了行业竞争的偶然作用，并将董事会规模确立为决定人工智能创新能否成功促进高增长的关键治理机制。

{"title":"Building the efficiency bridge: Artificial intelligence innovation, high-growth firms and industry competition through governance","authors":"Xikai Yu , Kanghao Chen , Zongqiang Ren","doi":"10.1016/j.jik.2026.100961","DOIUrl":"10.1016/j.jik.2026.100961","url":null,"abstract":"<div><div>High-growth firms serve as vital drivers of economic vitality; however, sustaining their rapid growth remains a formidable challenge. Although researchers widely regard artificial intelligence (AI) innovation as a key competitive advantage, the specific mechanisms through which it fosters high-growth firms remain underexplored. We analyse 20,178 firm–year observations from China (2007–2022) using technology affordance actualisation theory to investigate this relationship. Results show that AI innovation drives high growth primarily by enhancing firm efficiency. Particularly, we identify a critical contingency: the intensity of industry competition negatively moderates the effect of AI innovation on firm efficiency. A novel finding reveals that board size conditions whether this moderating effect persists. Specifically, industry competition undermines efficiency gains only in firms with small boards, thereby hindering high growth. By contrast, large boards nullify this negative effect, enabling AI innovation to drive firms towards high-growth status even under competitive pressure. Our study theoretically advances the literature by elucidating the contingent role of industry competition and establishing board size as a crucial governance mechanism that determines the success of AI innovation in promoting high growth.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100961"},"PeriodicalIF":15.5,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How circular start-ups are shaping the future of entrepreneurial ecosystems 循环创业公司如何塑造创业生态系统的未来

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2026-01-28 DOI: 10.1016/j.jik.2026.100955

Roberto Cerchione, Renato Passaro, Ivana Quinto, Viviana Sicardi

In a context marked by environmental challenges and the urgency for sustainable innovation, circular start-ups (CSUs) are recognised for their ability to drive organisational, cultural, and systemic change through adaptive and collaborative approaches. This research examines the crucial function of CSUs in promoting sustainable entrepreneurial ecosystems (SEEs) through an exploratory multiple case study analysis of Italian start-ups across several sectors. Empirical evidence was obtained mainly through primary data, while additional secondary sources were included to strengthen the contextual reliability of the study. The findings reveal that CSUs operate as dynamic agents capable of shaping open yet cohesive networks, leveraging digital technologies, and integrating sustainability principles across value chains. By employing self-organising structures, fostering cross-sectoral collaborations, and adhering to circular economy principles, these start-ups facilitate the dissemination of revolutionary business strategies and the evolution of entrepreneurial ecosystems into more resilient, inclusive, and regenerative systems.

在环境挑战和可持续创新紧迫性的背景下，循环初创企业（csu）因其通过适应性和协作方法推动组织、文化和系统变革的能力而得到认可。本研究通过对意大利多个行业的初创企业进行探索性多案例研究分析，考察了csu在促进可持续创业生态系统（SEEs）方面的关键功能。经验证据主要通过原始数据获得，而额外的二手来源被纳入以加强研究的上下文可靠性。研究结果表明，csu作为动态代理，能够塑造开放而有凝聚力的网络，利用数字技术，并在价值链中整合可持续性原则。通过采用自组织结构，促进跨部门合作，并坚持循环经济原则，这些初创企业促进了革命性商业战略的传播，并将创业生态系统演变为更具弹性、包容性和可再生的系统。

{"title":"How circular start-ups are shaping the future of entrepreneurial ecosystems","authors":"Roberto Cerchione, Renato Passaro, Ivana Quinto, Viviana Sicardi","doi":"10.1016/j.jik.2026.100955","DOIUrl":"10.1016/j.jik.2026.100955","url":null,"abstract":"<div><div>In a context marked by environmental challenges and the urgency for sustainable innovation, circular start-ups (CSUs) are recognised for their ability to drive organisational, cultural, and systemic change through adaptive and collaborative approaches. This research examines the crucial function of CSUs in promoting sustainable entrepreneurial ecosystems (SEEs) through an exploratory multiple case study analysis of Italian start-ups across several sectors. Empirical evidence was obtained mainly through primary data, while additional secondary sources were included to strengthen the contextual reliability of the study. The findings reveal that CSUs operate as dynamic agents capable of shaping open yet cohesive networks, leveraging digital technologies, and integrating sustainability principles across value chains. By employing self-organising structures, fostering cross-sectoral collaborations, and adhering to circular economy principles, these start-ups facilitate the dissemination of revolutionary business strategies and the evolution of entrepreneurial ecosystems into more resilient, inclusive, and regenerative systems.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"14 ","pages":"Article 100955"},"PeriodicalIF":15.5,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Journal of Innovation & Knowledge

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀