Journal of Innovation & Knowledge最新文献

Breaking barriers in advertising: Innovative cross-media measurement with audio-matching 打破广告壁垒：利用音频匹配创新跨媒体测量

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100729

Silvia Sanz-Blas , Victor Ballester-Riera , Daniela Buzova

引用次数: 0

Artificial intelligence in risk management within the realm of construction projects: A bibliometric analysis and systematic literature review 人工智能在建筑工程领域的风险管理：文献计量分析和系统文献综述

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100711

Kun Tian , Zicheng Zhu , Jasper Mbachu , Amir Ghanbaripour , Matthew Moorhead

{"title":"Artificial intelligence in risk management within the realm of construction projects: A bibliometric analysis and systematic literature review","authors":"Kun Tian , Zicheng Zhu , Jasper Mbachu , Amir Ghanbaripour , Matthew Moorhead","doi":"10.1016/j.jik.2025.100711","DOIUrl":"10.1016/j.jik.2025.100711","url":null,"abstract":"<div><div>The construction industry faces risks across various domains, including cost, safety, schedule, quality, and supply chain management. Recent artificial intelligence (AI) advancements offer promising solutions to enhance risk management. This systematic literature review (SLR) explores the integration of AI in construction risk management, focusing on AI applications, risk categories, and key algorithms. A total of 84 peer-reviewed articles published between 2014 and 2024 were analysed. The SLR method involved rigorous identification, selection, and critical appraisal of studies, followed by bibliometric analysis to uncover research trends, influential authors, and thematic clusters. The bibliometric analysis, including keyword co-occurrence and author collaboration networks, provided insights into the structure of the research landscape. Findings revealed that AI methods such as machine learning (ML), natural language processing (NLP), knowledge-based reasoning (KBR), optimisation algorithm (OA), and computer vision (CV) play crucial roles in predicting and managing risks. ML is employed for predictive modelling, NLP for document and compliance risk management, KBR for decision support, OA for optimising resources and schedules, and CV for real-time safety monitoring. Despite advancements, challenges related to data quality, model interpretability, and workforce skills hinder full AI integration. Future research should explore AI’s intersection with emerging technologies such as blockchain and adaptive risk models for responsible adoption. This paper contributes to the growing knowledge of AI’s transformative impact on construction risk management.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100711"},"PeriodicalIF":15.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895952","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

Strategic adaptation for online platform retailers in government-regulated digital marketplaces 在线平台零售商在政府监管的数字市场中的战略适应

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100717

Sarat Kumar Jena , Purushottam Meena

{"title":"Strategic adaptation for online platform retailers in government-regulated digital marketplaces","authors":"Sarat Kumar Jena , Purushottam Meena","doi":"10.1016/j.jik.2025.100717","DOIUrl":"10.1016/j.jik.2025.100717","url":null,"abstract":"<div><div>This study investigates the strategic decisions of online platform retailers (OPRs) within government-regulated digital marketplaces, focusing on India’s Open Network for Digital Commerce (ONDC). The ONDC initiative, aimed at democratizing e-commerce, presents both challenges and opportunities for large and medium-sized OPRs accustomed to traditionally unregulated environments. Employing a Stackelberg game-theoretic model, the study analyzes three scenarios: (1) neither OPR joins ONDC, (2) only one OPR joins ONDC, and (3) both OPRs join ONDC. Each scenario evaluates key factors—pricing strategies, sales efforts, and supply chain profitability—to determine how regulatory frameworks impact competitive dynamics. The findings reveal a trade-off for OPRs between higher short-term profits when abstaining from ONDC and enhanced long-term value through ONDC participation. Specifically, participation in ONDC can facilitate market sustainability and growth for sellers, underscoring the transformative potential of regulated digital ecosystems. This study provides actionable insights for OPRs contemplating ONDC adoption, highlighting the strategic risks such as potential market share erosion and supply chain inefficiency. For policymakers, it emphasizes the importance of balancing the interests of OPRs and sellers to foster an inclusive, competitive digital marketplace. By examining the strategic adaptations of OPRs within a government-regulated digital marketplace, this study advances the understanding of regulatory impacts on competitive environments and offers a generalizable framework for decision-making in global digital economies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100717"},"PeriodicalIF":15.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143927426","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

Analyzing the impact of synergistic environmental regulations and local government competition on carbon neutrality goals 分析协同环境法规和地方政府竞争对碳中和目标的影响

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100716

Jun Zhao , Lelai Shi

{"title":"Analyzing the impact of synergistic environmental regulations and local government competition on carbon neutrality goals","authors":"Jun Zhao , Lelai Shi","doi":"10.1016/j.jik.2025.100716","DOIUrl":"10.1016/j.jik.2025.100716","url":null,"abstract":"<div><div>Integration and synergy of environmental policies is crucial for maximizing carbon reduction effects. This study investigates the heterogeneous impact of environmental policy synergy on carbon neutrality using panel data from 30 Chinese provinces between 2003 and 2022 and employing generalized quantile regression and spatial econometric models. The relevant findings are threefold. (1) The marginal impact of environmental policy synergy on per capita carbon emissions exhibits distinct structural characteristics across different positions in the conditional distribution of China’s per capita carbon emissions. (2) Significant heterogeneity is evident in the effects of various environmental policy synergy categories on carbon neutrality. Specifically, synergies between government and enterprise environmental regulation (ER), and government-and public-type ER effectively reduces per capita carbon emissions, contributing to carbon neutrality. In contrast, the synergy between enterprise and public-type ER policies increases per capita carbon emissions, while the synergy between all three types of ER policies does not significantly impact carbon emissions. (3) The direct effect of local government competition on per capita carbon emissions is negligible; however, government and corporate policy synergy results in increased per capita carbon emissions under government competition. This study reveals the heterogeneous effects of policy combinations, providing a dynamic decision-making basis for optimizing policy instruments in achieving carbon peaking and carbon neutrality.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100716"},"PeriodicalIF":15.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143934777","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

Efficiency in research, collaboration, and innovation: Parametric and nonparametric approaches in Italian universities 研究、合作和创新的效率：意大利大学的参数化和非参数化方法

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100724

Angela Rella , Anna Rita Dipierro

引用次数: 0

Innovation and labor share: Disentangling emerging global technological trends 创新与劳动份额：拆解新兴的全球技术趋势

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100712

Christophe Feder , Cristiano Antonelli

引用次数: 0

The impact of China’s green credit policy on the innovation of manufacturing enterprises 中国绿色信贷政策对制造业企业创新的影响

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100714

Guanglin Sun , Qinyao Feng , Shanshan Wu , Chuanxin Xia

{"title":"The impact of China’s green credit policy on the innovation of manufacturing enterprises","authors":"Guanglin Sun , Qinyao Feng , Shanshan Wu , Chuanxin Xia","doi":"10.1016/j.jik.2025.100714","DOIUrl":"10.1016/j.jik.2025.100714","url":null,"abstract":"<div><div>This study empirically investigated the effects of green credit policies on corporate innovation in China, utilizing panel data for A-share listed manufacturing companies from 2008 to 2022. The analysis employed double-difference models, with the 2012 introduction of the <em>Green Credit Guidelines</em> treated as an exogenous shock. Green credit schemes were found to restrict innovation among more heavily-polluting enterprises. In terms of mechanisms, <em>financial constraint effects</em> outweighed the <em>Porter effect</em>, with heightened financial limitations imposed by green credit schemes driving the observed decrease in corporate innovation. Additionally, the degree of local financial development was found to strongly mediate how green credit policies impacted innovation-related investments, while government subsidies and internal investment levels exacerbated the negative effects of green credit schemes on innovation. Green credit-related declines in innovation within heavily polluting industries were exaggerated for privately owned versus state-owned enterprises. Similarly, technology-intensive enterprises, those operating in highly competitive markets, and those less-dependent on human labor also experienced greater reductions in innovation. Finally, green credit-related declines in innovation were most severe for enterprises located in the Central Region of China.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100714"},"PeriodicalIF":15.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900131","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

Digital innovation, human capital allocation, and labour share: Empirical evidence from listed companies in China 数字创新、人力资本配置与劳动份额：来自中国上市公司的经验证据

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100705

Hongcheng Ling , Xuebin Ding , Changqi Tao

{"title":"Digital innovation, human capital allocation, and labour share: Empirical evidence from listed companies in China","authors":"Hongcheng Ling , Xuebin Ding , Changqi Tao","doi":"10.1016/j.jik.2025.100705","DOIUrl":"10.1016/j.jik.2025.100705","url":null,"abstract":"<div><div>Digital technology is increasingly blurring the lines between humans and machines, significantly influencing the distribution of income among workers. The question of how businesses can capitalise on the benefits of digital advancement by optimising internal human capital allocation during the digital innovation process has become a critical concern. This study utilises the Sentence-BERT(SBERT) model to identify digital innovation and examines its effects on the labour share within firms, alongside the underlying mechanisms from the viewpoint of human capital allocation. The research findings are as follows: First, digital innovation has a positive and significant impact on the labour share, a conclusion that remains robust after conducting various sensitivity tests and addressing endogeneity issues. Second, the mechanism analysis reveals that changes in human capital allocation serve as a crucial mediating factor between digital innovation and labour share. Further exploration indicates that skills training, as an element of human capital allocation, demonstrates varying levels of influence across various company sizes and industry characteristics. Third, the positive impact of digital innovation on labour share is more pronounced in regions with supportive business environments, high-tech sectors and firms with superior corporate governance. Lastly, for ordinary employees, digital innovation enhances their labour share. Conversely, for management, while digital innovation reduces their labour share, it increases their equity incentive, suggesting that digital innovation aids in bridging the digital divide within firms and fosters a more equitable distribution of benefits. This study not only enriches the theoretical understanding of the effects of digital innovation on labour income but also encourages the practical application of digital innovation in reducing the wealth gap and achieving shared prosperity.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100705"},"PeriodicalIF":15.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891940","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

Unlocking the power of AI in CRM: A comprehensive multidimensional exploration 释放人工智能在客户关系管理中的力量：全面的多维探索

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-05-01 DOI: 10.1016/j.jik.2025.100731

Khadija Khamis Alnofeli, Shahriar Akter, Venkata Yanamandram

{"title":"Unlocking the power of AI in CRM: A comprehensive multidimensional exploration","authors":"Khadija Khamis Alnofeli, Shahriar Akter, Venkata Yanamandram","doi":"10.1016/j.jik.2025.100731","DOIUrl":"10.1016/j.jik.2025.100731","url":null,"abstract":"<div><div>Artificial intelligence (AI) is revolutionising customer relationship management (CRM) across various sectors, fundamentally altering strategic business operations. This study examines the capabilities of AI-powered CRM systems, drawing on empirical evidence arising from thematic analyses of 64 scholarly articles and insights gained from 24 in-depth interviews with CRM experts. The research identifies and systematically categorises three major dimensions and eight sub-dimensions of AI-powered CRM capabilities, providing a structured framework that encapsulates the complex interplay that occurs between these elements. These dimensions include data management, multi-channel integration, and tailored service offerings, each underpinning the nuanced integration of AI into CRM practices. Critically, the study integrates these findings within the theoretical framework of the microfoundations of Dynamic Capabilities (DC), enriching the discourse on how AI can strategically enhance CRM systems and offering a nuanced understanding of the factors driving AI adoption within CRM. By mapping these capabilities against the microfoundations of DC theory, the research delineates the strategic implications for organisations striving to leverage AI to enhance their competitive advantage.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100731"},"PeriodicalIF":15.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084117","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 digital transformation and environmental innovation for sustainability 数字化转型和环境创新对可持续发展的影响

IF 15.6 1区管理学

Journal of Innovation & Knowledge Pub Date : 2025-04-27 DOI: 10.1016/j.jik.2025.100713

Oana Pricopoaia , Nicoleta Cristache , Adrian Lupașc , Dorin Iancu

{"title":"The implications of digital transformation and environmental innovation for sustainability","authors":"Oana Pricopoaia , Nicoleta Cristache , Adrian Lupașc , Dorin Iancu","doi":"10.1016/j.jik.2025.100713","DOIUrl":"10.1016/j.jik.2025.100713","url":null,"abstract":"<div><div>The interconnected phenomena of digital transformation and environmental innovation exert a major impact on sustainability. This research attempts to shed light on the sustainability implications of digital transformation and environmental innovation. Both digital transformation and environmental innovation offer multiple opportunities to address global challenges such as climate change, resource depletion, and social inequality. This study highlights the need to integrate digital technologies and innovation with environmental initiatives. By following this approach, the sustainability implications of digital transformation and environmental innovation can lead to a more resilient and sustainable society. Fuzzy-set qualitative comparative analysis (fsQCA) is used to determine the necessary or sufficient factors to increase sustainability. The study thus provides insights into what the environmental priorities should be. The results show how to reduce environmental impacts, improve quality of life, and support economic development. They can also be used to inform policies that support sustainability initiatives by encouraging the combinations of interventions that work best. By harnessing the potential of digital transformation and environmental innovation, it is possible to build a greener and more prosperous future for generations to come.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100713"},"PeriodicalIF":15.6,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876751","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