首页 > 最新文献

International Journal of Information Management最新文献

英文 中文
The impact of creativity on the attitude toward and intention to adopt metaverse social media among youth in developing countries 创造力对发展中国家青年使用虚拟社会媒体的态度和意向的影响
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-22 DOI: 10.1016/j.ijinfomgt.2025.103020
Jean Robert Kala Kamdjoug , Serge-Lopez Wamba-Taguimdje , Philippe Jefferson Guessele
Metaverse social media (MSM) is a transformative space for consumers, organizations, and society that fosters creative expression, collaborative value creation, and socio-economic interactions beyond traditional digital platforms. Although the metaverse has garnered increasing attention from scholars and practitioners, few studies have empirically explored how creativity-related beliefs influence youth attitudes and adoption intentions regarding MSM, especially in developing countries, where contextual barriers such as poor internet quality (QIC) exist. Drawing on the technological learning and usage theory and creativity support systems literature, this study conceptualizes attitude toward MSM for creativity (ATMC) as a user’s evaluative belief that metaverse platforms offer rich opportunities for creative exploration, innovation, and self-expression. We focus on three attitudinal dimensions (attitude toward success [ATS], attitude toward failure [ATF], and attitude toward the learning process [ATL]) and find that all three influence ATMC, which is moderated by QIC, which, in turn, drives the intention to adopt MSM (IMSM). Using Cameroon as the context and adopting a cross-sectional field research design, we employ a multi-analytical hybrid technique that combines structural equation modeling and artificial neural networks to evaluate our research model using a sample of 144 users. The results show that ATS and ATL are critical factors influencing ATMC; these can effectively influence consumer IMSM. QIC moderates the relationships between ATF, ATL, and ATMC. We contribute to the theoretical understanding of active youth attitudes and intentions toward metaverse technology in developing countries and offer practical guidance on how to encourage the active adoption of this technology to foster creativity.
虚拟世界社交媒体(MSM)是一个面向消费者、组织和社会的变革空间,它促进了传统数字平台之外的创造性表达、协作价值创造和社会经济互动。虽然虚拟世界已经引起了学者和实践者越来越多的关注,但很少有研究从经验上探讨与创造力相关的信念如何影响年轻人对男同性恋者的态度和采用意图,特别是在存在诸如互联网质量差(QIC)等背景障碍的发展中国家。利用技术学习与使用理论和创造力支持系统文献,本研究将MSM对创造力的态度(ATMC)定义为用户对虚拟世界平台为创造性探索、创新和自我表达提供丰富机会的评价信念。我们重点研究了三个态度维度(对成功的态度[ATS]、对失败的态度[ATF]和对学习过程的态度[ATL]),发现这三个维度都影响ATMC,而ATMC受QIC的调节,而QIC反过来又推动了采用MSM (IMSM)的意愿。以喀麦隆为背景,采用横断面实地研究设计,我们采用多分析混合技术,结合结构方程建模和人工神经网络,使用144个用户样本评估我们的研究模型。结果表明,ATS和ATL是影响ATMC的关键因素;这些可以有效地影响消费者的IMSM。QIC调节ATF、ATL和ATMC之间的关系。我们有助于从理论上理解发展中国家的年轻人对虚拟技术的积极态度和意图,并就如何鼓励积极采用这种技术来培养创造力提供实践指导。
{"title":"The impact of creativity on the attitude toward and intention to adopt metaverse social media among youth in developing countries","authors":"Jean Robert Kala Kamdjoug ,&nbsp;Serge-Lopez Wamba-Taguimdje ,&nbsp;Philippe Jefferson Guessele","doi":"10.1016/j.ijinfomgt.2025.103020","DOIUrl":"10.1016/j.ijinfomgt.2025.103020","url":null,"abstract":"<div><div>Metaverse social media (MSM) is a transformative space for consumers, organizations, and society that fosters creative expression, collaborative value creation, and socio-economic interactions beyond traditional digital platforms. Although the metaverse has garnered increasing attention from scholars and practitioners, few studies have empirically explored how creativity-related beliefs influence youth attitudes and adoption intentions regarding MSM, especially in developing countries, where contextual barriers such as poor internet quality (QIC) exist. Drawing on the technological learning and usage theory and creativity support systems literature, this study conceptualizes attitude toward MSM for creativity (ATMC) as a user’s evaluative belief that metaverse platforms offer rich opportunities for creative exploration, innovation, and self-expression. We focus on three attitudinal dimensions (attitude toward success [ATS], attitude toward failure [ATF], and attitude toward the learning process [ATL]) and find that all three influence ATMC, which is moderated by QIC, which, in turn, drives the intention to adopt MSM (IMSM). Using Cameroon as the context and adopting a cross-sectional field research design, we employ a multi-analytical hybrid technique that combines structural equation modeling and artificial neural networks to evaluate our research model using a sample of 144 users. The results show that ATS and ATL are critical factors influencing ATMC; these can effectively influence consumer IMSM. QIC moderates the relationships between ATF, ATL, and ATMC. We contribute to the theoretical understanding of active youth attitudes and intentions toward metaverse technology in developing countries and offer practical guidance on how to encourage the active adoption of this technology to foster creativity.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103020"},"PeriodicalIF":27.0,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839297","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
Presence by design: A multi-method examination of design considerations for immersive virtual reality in corporate training 通过设计呈现:对企业培训中沉浸式虚拟现实设计考虑的多方法考察
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-20 DOI: 10.1016/j.ijinfomgt.2025.102999
Ersin Dincelli
Workforce training is a cornerstone of organizational success, as the value of intellectual capital increasingly rivals that of physical and financial assets in today’s knowledge-driven economy. The emergence of consumer-grade head-mounted display (HMD)-based virtual reality (VR) technology offers organizations innovative opportunities to meet evolving workforce training needs. This study employs a multi-method investigation to systematically examine HMD-based VR training and education, with a focus on presence as a core experiential quality of VR technology and an important determinant of learning effectiveness. First, we synthesize the literature on HMD-based VR in training and education through the Community of Inquiry (CoI) framework’s four interdependent components: cognitive, teaching, social, and emotional presence. The findings highlight the dynamic interplay among different dimensions of presence and their collective impact on learning outcomes, providing an integrated framework to inform the design of HMD-based VR training and education programs. To validate the real-world relevance of the CoI components and inform design practices, we conduct semi-structured interviews with a diverse group of stakeholders, including executives and managers from select Fortune 500 companies that have integrated HMDs into their workflows, professionals from companies specializing in VR training, pedagogical experts, VR application developers, and content creators. We identify 80 key design factors linked to different dimensions of presence. By bridging theory with practical insights, this study underscores the central role of presence in shaping immersive learning experiences and provides a foundation for designing impactful HMD-based VR training and education programs.
劳动力培训是组织成功的基石,因为在当今知识驱动的经济中,智力资本的价值日益与物质和金融资产的价值相媲美。基于消费级头戴式显示器(HMD)的虚拟现实(VR)技术的出现为组织提供了创新的机会,以满足不断变化的劳动力培训需求。本研究采用多方法调查,系统地考察了基于hmd的VR培训和教育,重点关注存在作为VR技术的核心体验质量和学习效果的重要决定因素。首先,我们通过探究社区(CoI)框架的四个相互依存的组成部分:认知、教学、社会和情感存在,综合了关于基于hmd的VR在培训和教育中的文献。研究结果强调了不同维度的存在之间的动态相互作用及其对学习成果的集体影响,为基于hmd的VR培训和教育计划的设计提供了一个综合框架。为了验证CoI组件与现实世界的相关性并为设计实践提供信息,我们对不同的利益相关者进行了半结构化访谈,其中包括来自将头戴式显示器集成到其工作流程中的财富500强公司的高管和经理,专门从事VR培训的公司的专业人员,教学专家,VR应用程序开发人员和内容创作者。我们确定了80个关键设计因素与不同维度的存在。通过将理论与实践相结合,本研究强调了在场在塑造沉浸式学习体验中的核心作用,并为设计有影响力的基于hmd的VR培训和教育项目提供了基础。
{"title":"Presence by design: A multi-method examination of design considerations for immersive virtual reality in corporate training","authors":"Ersin Dincelli","doi":"10.1016/j.ijinfomgt.2025.102999","DOIUrl":"10.1016/j.ijinfomgt.2025.102999","url":null,"abstract":"<div><div>Workforce training is a cornerstone of organizational success, as the value of intellectual capital increasingly rivals that of physical and financial assets in today’s knowledge-driven economy. The emergence of consumer-grade head-mounted display (HMD)-based virtual reality (VR) technology offers organizations innovative opportunities to meet evolving workforce training needs. This study employs a multi-method investigation to systematically examine HMD-based VR training and education, with a focus on presence as a core experiential quality of VR technology and an important determinant of learning effectiveness. First, we synthesize the literature on HMD-based VR in training and education through the Community of Inquiry (CoI) framework’s four interdependent components: cognitive, teaching, social, and emotional presence. The findings highlight the dynamic interplay among different dimensions of presence and their collective impact on learning outcomes, providing an integrated framework to inform the design of HMD-based VR training and education programs. To validate the real-world relevance of the CoI components and inform design practices, we conduct semi-structured interviews with a diverse group of stakeholders, including executives and managers from select Fortune 500 companies that have integrated HMDs into their workflows, professionals from companies specializing in VR training, pedagogical experts, VR application developers, and content creators. We identify 80 key design factors linked to different dimensions of presence. By bridging theory with practical insights, this study underscores the central role of presence in shaping immersive learning experiences and provides a foundation for designing impactful HMD-based VR training and education programs.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 102999"},"PeriodicalIF":27.0,"publicationDate":"2025-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789834","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
Why ride-hailing platform firms are reluctant to share data with governments: Evidence from China 为什么网约车平台公司不愿与政府分享数据:来自中国的证据
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-19 DOI: 10.1016/j.ijinfomgt.2025.103019
Guoyin Jiang, Wanqiang Yang, Xingshun Cai
Data sharing between the public and private sectors, such as ride-hailing platform (RHP) firms and the government, aims to generate value. However, the reasons behind the intentions of RHP firms to share data with public entities remain unclear. In this research, a business-to-government (B2G) information-sharing framework is employed, and a mixed study combining structural equation modeling (SEM), with a sample size of 426 and fuzzy-set qualitative comparative analysis (fsQCA), with a sample size of 82 is conducted. The same variables are adopted and assessed through different methods, providing complementary insights into how information and technology, organizational and managerial dynamics, and political and policy considerations affect the intentions of RHP firms to share data with the government. The results of SEM analysis show government-led initiatives related to data infrastructure, data management improvement, robust systems for data security, administrative penalties, and strong government–business political connections collectively decrease the reluctance to share data (RSD) among RHP firms. The platform power (PP) level of RHP firms influences B2G data sharing to varying degrees. The fsQCA analysis identifies four configurations linked to the RSD of RHP firms, and their combinations result in the same outcome. Heterogeneity analysis further yields variations in configurations of reluctance across different PP levels. This research has important implications for governments seeking to address firm reluctance and promote sustainable B2G data-sharing practices.
公共和私营部门之间的数据共享,如叫车平台(RHP)公司和政府之间的数据共享,旨在创造价值。然而,RHP公司与公共实体共享数据的意图背后的原因尚不清楚。本研究采用企业对政府(B2G)信息共享框架,采用结构方程模型(SEM)和模糊集定性比较分析(fsQCA)相结合的混合研究,样本量为426个,样本量为82个。采用相同的变量,并通过不同的方法进行评估,从而对信息和技术、组织和管理动态以及政治和政策考虑因素如何影响RHP公司与政府共享数据的意图提供互补的见解。SEM分析的结果显示,政府主导的与数据基础设施、数据管理改进、强健的数据安全系统、行政处罚以及强大的政府-企业政治关系相关的举措,共同降低了RHP公司之间共享数据的意愿(RSD)。RHP企业的平台权力水平对B2G数据共享有不同程度的影响。fsQCA分析确定了与RHP公司的RSD相关的四种配置,它们的组合导致相同的结果。异质性分析进一步得出了不同PP水平的磁阻构型的变化。这项研究对寻求解决企业不情愿和促进可持续B2G数据共享实践的政府具有重要意义。
{"title":"Why ride-hailing platform firms are reluctant to share data with governments: Evidence from China","authors":"Guoyin Jiang,&nbsp;Wanqiang Yang,&nbsp;Xingshun Cai","doi":"10.1016/j.ijinfomgt.2025.103019","DOIUrl":"10.1016/j.ijinfomgt.2025.103019","url":null,"abstract":"<div><div>Data sharing between the public and private sectors, such as ride-hailing platform (RHP) firms and the government, aims to generate value. However, the reasons behind the intentions of RHP firms to share data with public entities remain unclear. In this research, a business-to-government (B2G) information-sharing framework is employed, and a mixed study combining structural equation modeling (SEM), with a sample size of 426 and fuzzy-set qualitative comparative analysis (fsQCA), with a sample size of 82 is conducted. The same variables are adopted and assessed through different methods, providing complementary insights into how information and technology, organizational and managerial dynamics, and political and policy considerations affect the intentions of RHP firms to share data with the government. The results of SEM analysis show government-led initiatives related to data infrastructure, data management improvement, robust systems for data security, administrative penalties, and strong government–business political connections collectively decrease the reluctance to share data (RSD) among RHP firms. The platform power (PP) level of RHP firms influences B2G data sharing to varying degrees. The fsQCA analysis identifies four configurations linked to the RSD of RHP firms, and their combinations result in the same outcome. Heterogeneity analysis further yields variations in configurations of reluctance across different PP levels. This research has important implications for governments seeking to address firm reluctance and promote sustainable B2G data-sharing practices.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103019"},"PeriodicalIF":27.0,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789835","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
Managing Intellectual Property leakage in the digital era: An integrated process model 管理数字时代的知识产权泄漏:一个集成过程模型
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-17 DOI: 10.1016/j.ijinfomgt.2025.103021
Rens Scheepers , Lars Mathiassen , Atif Ahmad , Rachelle Bosua , Richard Baskerville
As a result of the ongoing digitalization of business, Intellectual Property (IP) increasingly manifests in digital forms and as digital footprints, causing escalating exposure to IP leakage. This calls for a paradigm shift from a relatively static view of IP management focused on protection against and recovering from IP leakage to an emerging view focused on dynamically adapting approaches to IP management. Accordingly, we present a model of IP leakage management for the digital era that includes technological innovations to monitor digital forms and footprints of IP, proactive and reactive measures to mitigate escalating IP leakage risks, and adaptive strategizing in response to constantly changing internal and external business landscapes. Ultimately, such adaptive strategizing may include disclosing IP for the benefit of open innovation with external partners. The model offers a generative platform IS researchers can use to engage in interdisciplinary discourse on IP management as an important practical and theoretical concern in the digital era.
随着业务的持续数字化,知识产权(IP)越来越多地以数字形式和数字足迹表现出来,导致知识产权泄漏的风险不断上升。这就要求从专注于保护和恢复IP泄漏的相对静态的IP管理观点转变为专注于动态适应IP管理方法的新兴观点。因此,我们提出了一个数字时代的知识产权泄漏管理模型,其中包括监测知识产权数字形式和足迹的技术创新,主动和被动措施以减轻不断升级的知识产权泄漏风险,以及应对不断变化的内部和外部业务格局的适应性战略。最终,这种适应性战略可能包括披露知识产权,以便与外部合作伙伴进行开放式创新。该模型提供了一个生成平台,研究人员可以使用它来参与知识产权管理的跨学科讨论,这是数字时代一个重要的实践和理论问题。
{"title":"Managing Intellectual Property leakage in the digital era: An integrated process model","authors":"Rens Scheepers ,&nbsp;Lars Mathiassen ,&nbsp;Atif Ahmad ,&nbsp;Rachelle Bosua ,&nbsp;Richard Baskerville","doi":"10.1016/j.ijinfomgt.2025.103021","DOIUrl":"10.1016/j.ijinfomgt.2025.103021","url":null,"abstract":"<div><div>As a result of the ongoing digitalization of business, Intellectual Property (IP) increasingly manifests in digital forms and as digital footprints, causing escalating exposure to IP leakage. This calls for a paradigm shift from a relatively static view of IP management focused on protection against and recovering from IP leakage to an emerging view focused on dynamically adapting approaches to IP management. Accordingly, we present a model of IP leakage management for the digital era that includes technological innovations to monitor digital forms and footprints of IP, proactive and reactive measures to mitigate escalating IP leakage risks, and adaptive strategizing in response to constantly changing internal and external business landscapes. Ultimately, such adaptive strategizing may include disclosing IP for the benefit of open innovation with external partners. The model offers a generative platform IS researchers can use to engage in interdisciplinary discourse on IP management as an important practical and theoretical concern in the digital era.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103021"},"PeriodicalIF":27.0,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789958","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
Reinforcement or deterioration?Unraveling how employee and AI collaboration impacts service innovation 加固还是恶化?揭示员工和人工智能协作如何影响服务创新
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-09 DOI: 10.1016/j.ijinfomgt.2025.103018
Jiaoyang Li , Dan Ding
Integrating Artificial Intelligence (AI) into service sectors is increasingly prevalent, yet the effects of employee-AI collaboration on service innovation fail to reach a consensus. To bridge this research gap, we conducted two complementary studies by delineating three distinct types of AI in service: mechanical AI for standardization, thinking AI for personalization, and feeling AI for relationalization. The first study, an exploratory experiment with 214 credit card salespeople, examined the impact of employee-AI collaboration on employee innovation. Compared to a no-AI control condition, mechanical AI was found to significantly hinder employee innovation, while thinking AI and feeling AI significantly enhanced innovation. The second study, a confirmatory survey of 246 employees across business and service sectors, integrated role identity theory and social cognitive theory to further uncover the mechanisms and boundary conditions underlying the discovered effects from the first study. Results revealed that mechanical AI undermines innovation through identity deterioration, whereas thinking and feeling AI promote innovation via identity reinforcement. Furthermore, employees’ occupational self-efficacy was shown to significantly strengthen the link between mechanical AI and identity deterioration, and weaken the relationship between thinking AI and identity reinforcement. This study advances research on employee-AI collaboration by elucidating the nuanced effects of distinct types of AI on employee innovation. It also offers practical suggestions for human-centered AI implementation by prioritizing thinking and feeling AI for innovation-driven tasks while limiting mechanical AI to standardized operations, and tailoring AI implementation strategies based on employees’ self-efficacy levels.
将人工智能(AI)整合到服务领域越来越普遍,但员工-AI协作对服务创新的影响尚未达成共识。为了弥补这一研究差距,我们通过描述服务中的三种不同类型的人工智能进行了两项互补研究:标准化的机械人工智能,个性化的思考人工智能和关系化的感觉人工智能。第一项研究对214名信用卡销售人员进行了探索性实验,考察了员工与人工智能协作对员工创新的影响。与无AI控制条件相比,机械AI显著阻碍员工创新,而思考AI和感受AI显著促进员工创新。第二项研究通过对246名商业和服务行业的员工进行验证性调查,整合角色认同理论和社会认知理论,进一步揭示了第一项研究发现的效应的机制和边界条件。结果表明,机械人工智能通过身份退化破坏创新,而思考和感觉人工智能通过身份强化促进创新。此外,员工的职业自我效能显著强化了机械性人工智能与身份退化之间的联系,削弱了思维性人工智能与身份强化之间的关系。本研究通过阐明不同类型的人工智能对员工创新的细微影响,推进了员工与人工智能协作的研究。它还提出了以人为中心的人工智能实施的实用建议,包括将思考和感觉人工智能优先用于创新驱动型任务,将机械人工智能限制在标准化操作中,以及根据员工的自我效能水平定制人工智能实施策略。
{"title":"Reinforcement or deterioration?Unraveling how employee and AI collaboration impacts service innovation","authors":"Jiaoyang Li ,&nbsp;Dan Ding","doi":"10.1016/j.ijinfomgt.2025.103018","DOIUrl":"10.1016/j.ijinfomgt.2025.103018","url":null,"abstract":"<div><div>Integrating Artificial Intelligence (AI) into service sectors is increasingly prevalent, yet the effects of employee-AI collaboration on service innovation fail to reach a consensus. To bridge this research gap, we conducted two complementary studies by delineating three distinct types of AI in service: mechanical AI for standardization, thinking AI for personalization, and feeling AI for relationalization. The first study, an exploratory experiment with 214 credit card salespeople, examined the impact of employee-AI collaboration on employee innovation. Compared to a no-AI control condition, mechanical AI was found to significantly hinder employee innovation, while thinking AI and feeling AI significantly enhanced innovation. The second study, a confirmatory survey of 246 employees across business and service sectors, integrated role identity theory and social cognitive theory to further uncover the mechanisms and boundary conditions underlying the discovered effects from the first study. Results revealed that mechanical AI undermines innovation through identity deterioration, whereas thinking and feeling AI promote innovation via identity reinforcement. Furthermore, employees’ occupational self-efficacy was shown to significantly strengthen the link between mechanical AI and identity deterioration, and weaken the relationship between thinking AI and identity reinforcement. This study advances research on employee-AI collaboration by elucidating the nuanced effects of distinct types of AI on employee innovation. It also offers practical suggestions for human-centered AI implementation by prioritizing thinking and feeling AI for innovation-driven tasks while limiting mechanical AI to standardized operations, and tailoring AI implementation strategies based on employees’ self-efficacy levels.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103018"},"PeriodicalIF":27.0,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737067","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
Unveiling AI data security: How employee awareness evolves in smart manufacturing 揭示人工智能数据安全:智能制造中员工意识的演变
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-03 DOI: 10.1016/j.ijinfomgt.2025.103011
Juan Yu , Weihong Xie , Diwen Zheng , Liang Guo
In the era of Industry 4.0, smart manufacturing leverages artificial intelligence (AI) to enhance operational efficiency, yet heightened data security risks underscore the critical role of employee data security awareness (DSA). This study pioneers a Cellular Automata (CA) model, grounded in Social Cognitive Theory (SCT), to investigate the emergent dynamics of employee AI DSA in smart manufacturing enterprises. By integrating local security climates and dynamic threshold mechanisms, the model simulates collective awareness evolution under three scenarios: no intervention, mild publicity, and mandatory training, using an initial distribution of 30% low, 40% intermediate, and 30% high-awareness employees. Findings reveal that without intervention, awareness fluctuates unstably, with low-awareness employees rising to 50% and high-awareness declining to 20%, driven by intermediate-state volatility. Mild publicity boosts high-awareness to 45% and reduces low-awareness to 25% (13.3% overall increase), while mandatory training elevates high-awareness to nearly 80% and suppresses low-awareness below 5% (37.8% overall increase). Sensitivity analysis validates model robustness, highlighting intermediate-state employees as pivotal drivers of awareness dynamics. This study advances SCT by quantifying triadic interactions in AI-driven contexts and offers actionable insights for optimizing data security through targeted interventions, demonstrating that hybrid strategies combining publicity and training yield superior outcomes.
在工业4.0时代,智能制造利用人工智能(AI)来提高运营效率,但数据安全风险的加剧凸显了员工数据安全意识(DSA)的关键作用。本研究开创了基于社会认知理论(SCT)的元胞自动机(CA)模型,以研究智能制造企业中员工AI DSA的涌现动态。通过整合当地安全气候和动态阈值机制,该模型模拟了不干预、温和宣传和强制培训三种情景下的集体意识演变,初始分布为30%低意识、40%中级意识和30%高意识员工。研究结果表明,在不进行干预的情况下,意识波动不稳定,在中间状态波动的驱动下,低意识员工上升到50%,高意识员工下降到20%。温和的宣传将高知晓率提高到45%,将低知晓率降低到25%(总体增长13.3%),而强制性培训将高知晓率提高到近80%,将低知晓率抑制在5%以下(总体增长37.8%)。敏感性分析验证了模型的稳健性,强调了中间状态员工作为意识动态的关键驱动因素。本研究通过量化人工智能驱动环境中的三元交互作用来推进SCT,并为通过有针对性的干预优化数据安全提供了可操作的见解,表明宣传和培训相结合的混合策略产生了更好的结果。
{"title":"Unveiling AI data security: How employee awareness evolves in smart manufacturing","authors":"Juan Yu ,&nbsp;Weihong Xie ,&nbsp;Diwen Zheng ,&nbsp;Liang Guo","doi":"10.1016/j.ijinfomgt.2025.103011","DOIUrl":"10.1016/j.ijinfomgt.2025.103011","url":null,"abstract":"<div><div>In the era of Industry 4.0, smart manufacturing leverages artificial intelligence (AI) to enhance operational efficiency, yet heightened data security risks underscore the critical role of employee data security awareness (DSA). This study pioneers a Cellular Automata (CA) model, grounded in Social Cognitive Theory (SCT), to investigate the emergent dynamics of employee AI DSA in smart manufacturing enterprises. By integrating local security climates and dynamic threshold mechanisms, the model simulates collective awareness evolution under three scenarios: no intervention, mild publicity, and mandatory training, using an initial distribution of 30% low, 40% intermediate, and 30% high-awareness employees. Findings reveal that without intervention, awareness fluctuates unstably, with low-awareness employees rising to 50% and high-awareness declining to 20%, driven by intermediate-state volatility. Mild publicity boosts high-awareness to 45% and reduces low-awareness to 25% (13.3% overall increase), while mandatory training elevates high-awareness to nearly 80% and suppresses low-awareness below 5% (37.8% overall increase). Sensitivity analysis validates model robustness, highlighting intermediate-state employees as pivotal drivers of awareness dynamics. This study advances SCT by quantifying triadic interactions in AI-driven contexts and offers actionable insights for optimizing data security through targeted interventions, demonstrating that hybrid strategies combining publicity and training yield superior outcomes.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103011"},"PeriodicalIF":27.0,"publicationDate":"2025-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684385","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
High interest but low adoption: Navigating organizations’ journey towards generative artificial intelligence implementation 高兴趣但低采用:引导组织走向生成式人工智能实现的旅程
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-01 DOI: 10.1016/j.ijinfomgt.2025.103009
Xiaoqing Wang , Wanle Zhong , Keman Huang , Bin Liang
The rapid development of generative artificial intelligence (aka, LLMs) provides high potential to transform organizational operations, yet a pronounced high interest but low adoption gap persists. Hence, moving beyond individual-level studies to examine organization-wide implementation, we draw on Rogers’ innovation decision process and Engeström’s activity theory, and conduct in-depth interviews with 27 front-line experts, including LLM providers, adopters, and advisors. Our analysis uncovers ten key contradictions and corresponding practice-driven solutions that emerge across five implementation stages (agenda-setting, matching, redefining and restructuring, clarifying, and routinizing). These insights illuminate not only the multi-stage, socio-technical complexity of LLM deployment but also shifting priorities among activity subsystems and the collaborative mechanisms essential for success. Building on these findings, we offer actionable recommendations for practitioners: a tiered rollout strategy; the technical capability building including decision-support and trial platforms, agile modular architectures and multi-layer update pipelines; as well as an accountable governance framework that integrates internal controls with external accountability. By synthesizing theoretical and practical perspectives, our study intends to guide researchers and business leaders navigate the challenges of organizational LLM implementation and realize their transformative potential at scale.
生成式人工智能(又名法学硕士)的快速发展为改变组织运营提供了巨大的潜力,然而,人们对它的兴趣很高,但采用程度却很低。因此,我们超越了个人层面的研究,考察了组织范围内的实施情况,借鉴了罗杰斯的创新决策过程和Engeström的活动理论,并对27位一线专家进行了深入采访,包括法学硕士提供者、采用者和顾问。我们的分析揭示了在五个实施阶段(议程设置、匹配、重新定义和重组、澄清和常规化)中出现的十个关键矛盾和相应的实践驱动解决方案。这些见解不仅说明了LLM部署的多阶段、社会技术复杂性,而且还说明了活动子系统之间的优先级转移和成功所必需的协作机制。基于这些发现,我们为从业者提供了可操作的建议:分层推出策略;技术能力建设包括决策支持和试验平台、敏捷模块化架构和多层更新管道;以及一个负责任的治理框架,将内部控制与外部问责制相结合。通过综合理论和实践观点,我们的研究旨在指导研究人员和商业领袖应对组织法学硕士实施的挑战,并在规模上实现其变革潜力。
{"title":"High interest but low adoption: Navigating organizations’ journey towards generative artificial intelligence implementation","authors":"Xiaoqing Wang ,&nbsp;Wanle Zhong ,&nbsp;Keman Huang ,&nbsp;Bin Liang","doi":"10.1016/j.ijinfomgt.2025.103009","DOIUrl":"10.1016/j.ijinfomgt.2025.103009","url":null,"abstract":"<div><div>The rapid development of generative artificial intelligence (aka, LLMs) provides high potential to transform organizational operations, yet a pronounced <em>high interest but low adoption</em> gap persists. Hence, moving beyond individual-level studies to examine organization-wide implementation, we draw on Rogers’ innovation decision process and Engeström’s activity theory, and conduct in-depth interviews with 27 front-line experts, including LLM providers, adopters, and advisors. Our analysis uncovers ten key contradictions and corresponding practice-driven solutions that emerge across five implementation stages (agenda-setting, matching, redefining and restructuring, clarifying, and routinizing). These insights illuminate not only the multi-stage, socio-technical complexity of LLM deployment but also shifting priorities among activity subsystems and the collaborative mechanisms essential for success. Building on these findings, we offer actionable recommendations for practitioners: a tiered rollout strategy; the technical capability building including decision-support and trial platforms, agile modular architectures and multi-layer update pipelines; as well as an accountable governance framework that integrates internal controls with external accountability. By synthesizing theoretical and practical perspectives, our study intends to guide researchers and business leaders navigate the challenges of organizational LLM implementation and realize their transformative potential at scale.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103009"},"PeriodicalIF":27.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684384","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
Can AI streamers' perseverance and exceptional intelligence overcome KOLs' viewership moat? 人工智能主播的毅力和过人的智慧能否克服kol的收视率护城河?
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-12-01 DOI: 10.1016/j.ijinfomgt.2025.103005
Hao Xiong , Chen Zhang , Yong Lin , Huili Yan , Yumiao Xu
To examine the optimal live-streaming model for manufacturers and its influencing factors under artificial intelligence (AI) conditions, this study introduces two variables: the intelligence level of AI streamers and livestream duration sensitivity. Two models are constructed, solved using optimization theory, and evaluated through comparative and sensitivity analyses. The findings are as follows: (1) Compared with Key Opinion Leader (KOL) live streaming, AI live streaming does not always lead to higher profits for manufacturers. AI streamers with greater endurance and intelligence are preferred only under specific conditions. (2) Manufacturers will opt for AI live streaming under four scenarios: high livestream duration sensitivity, moderate livestream duration sensitivity with high-intelligence AI streamers, high commission rates with low livestream duration sensitivity, high commission rates combined with moderate livestream duration sensitivity and low-intelligence AI streamers. (3) Although AI live streaming can effectively lower live streaming costs, manufacturers do not necessarily implement price reduction strategies accordingly. Only when both livestream duration sensitivity and the intelligence level of AI streamers are low do manufacturers potentially reduce prices to compensate for any negative experiences resulting from suboptimal live-streaming effects. Additionally, the study further explores four different scenarios, including KOLs' fixed fees, AI streamers with higher intelligence than KOLs, one-time investment costs for AI live-streaming, and AI streamers without popularity, thereby validating the robustness of the constructed model.
为了考察人工智能(AI)条件下制造商的最优直播模式及其影响因素,本研究引入了人工智能主播的智能水平和直播时长敏感性两个变量。构建了两个模型,运用最优化理论求解,并通过对比分析和敏感性分析对模型进行评价。研究发现:(1)与关键意见领袖(KOL)直播相比,AI直播并不总是为制造商带来更高的利润。只有在特定条件下,才会优先选择具有更大耐力和智能的AI主播。(2)厂商将在四种场景下选择AI直播:高直播时长敏感性、中度直播时长敏感性与高智能AI主播、高佣金率与低直播时长敏感性、高佣金率与中度直播时长敏感性与低智能AI主播相结合。(3)虽然AI直播可以有效降低直播成本,但厂商并不一定会实施相应的降价策略。只有当直播时长敏感性和人工智能主播的智能水平都很低时,制造商才有可能降低价格,以弥补因直播效果不佳而导致的负面体验。此外,该研究进一步探讨了四种不同的场景,包括kol的固定费用,AI主播的智力高于kol, AI直播的一次性投资成本,以及AI主播没有人气,从而验证了构建模型的鲁棒性。
{"title":"Can AI streamers' perseverance and exceptional intelligence overcome KOLs' viewership moat?","authors":"Hao Xiong ,&nbsp;Chen Zhang ,&nbsp;Yong Lin ,&nbsp;Huili Yan ,&nbsp;Yumiao Xu","doi":"10.1016/j.ijinfomgt.2025.103005","DOIUrl":"10.1016/j.ijinfomgt.2025.103005","url":null,"abstract":"<div><div>To examine the optimal live-streaming model for manufacturers and its influencing factors under artificial intelligence (AI) conditions, this study introduces two variables: the intelligence level of AI streamers and livestream duration sensitivity. Two models are constructed, solved using optimization theory, and evaluated through comparative and sensitivity analyses. The findings are as follows: (1) Compared with Key Opinion Leader (KOL) live streaming, AI live streaming does not always lead to higher profits for manufacturers. AI streamers with greater endurance and intelligence are preferred only under specific conditions. (2) Manufacturers will opt for AI live streaming under four scenarios: high livestream duration sensitivity, moderate livestream duration sensitivity with high-intelligence AI streamers, high commission rates with low livestream duration sensitivity, high commission rates combined with moderate livestream duration sensitivity and low-intelligence AI streamers. (3) Although AI live streaming can effectively lower live streaming costs, manufacturers do not necessarily implement price reduction strategies accordingly. Only when both livestream duration sensitivity and the intelligence level of AI streamers are low do manufacturers potentially reduce prices to compensate for any negative experiences resulting from suboptimal live-streaming effects. Additionally, the study further explores four different scenarios, including KOLs' fixed fees, AI streamers with higher intelligence than KOLs, one-time investment costs for AI live-streaming, and AI streamers without popularity, thereby validating the robustness of the constructed model.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103005"},"PeriodicalIF":27.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684383","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
Optimizing crowdfunding campaigns: A stage-based analysis of key success factors 优化众筹活动:基于阶段的关键成功因素分析
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-11-29 DOI: 10.1016/j.ijinfomgt.2025.103007
Bih-Huang Jin , Yung-Ming Li , Zho-Wei Li
In recent years, crowdfunding has emerged as a key mechanism for raising capital for innovative projects. This study examines the funding patterns and critical success factors of 1294 Kickstarter campaigns by dividing each campaign into three phases: initial, middle, and final. Our analysis reveals an S-shaped funding pattern, with the majority of contributions occurring in the initial and final phases. Phase-specific fixed-effects regression shows that prior backers consistently drive subsequent funding, while the effects of updates and comments vary by phase—significantly boosting funding in the initial and final phases but sometimes negatively impacting unsuccessful projects. Moreover, our findings indicate that product-reward campaigns rely on a strong early surge, whereas non-product-reward campaigns benefit from sustained engagement throughout the campaign. Based on these insights, we propose a phase-adaptive strategy matrix to optimize communication strategies, thereby offering actionable guidance for improving crowdfunding success rates and challenging traditional static models.
近年来,众筹已成为创新项目融资的关键机制。本文研究了1294个Kickstarter活动的融资模式和关键成功因素,将每个活动分为三个阶段:初始、中期和最终阶段。我们的分析揭示了一个s形的资助模式,大部分捐款发生在初始和最后阶段。特定阶段的固定效应回归显示,先前的支持者持续推动后续的融资,而更新和评论的影响因阶段而异——显著提高了初始和最终阶段的融资,但有时会对不成功的项目产生负面影响。此外,我们的研究结果表明,产品奖励活动依赖于早期的强劲增长,而非产品奖励活动则受益于整个活动的持续参与。基于这些见解,我们提出了一个阶段自适应策略矩阵来优化传播策略,从而为提高众筹成功率和挑战传统的静态模型提供可操作的指导。
{"title":"Optimizing crowdfunding campaigns: A stage-based analysis of key success factors","authors":"Bih-Huang Jin ,&nbsp;Yung-Ming Li ,&nbsp;Zho-Wei Li","doi":"10.1016/j.ijinfomgt.2025.103007","DOIUrl":"10.1016/j.ijinfomgt.2025.103007","url":null,"abstract":"<div><div>In recent years, crowdfunding has emerged as a key mechanism for raising capital for innovative projects. This study examines the funding patterns and critical success factors of 1294 Kickstarter campaigns by dividing each campaign into three phases: initial, middle, and final. Our analysis reveals an S-shaped funding pattern, with the majority of contributions occurring in the initial and final phases. Phase-specific fixed-effects regression shows that prior backers consistently drive subsequent funding, while the effects of updates and comments vary by phase—significantly boosting funding in the initial and final phases but sometimes negatively impacting unsuccessful projects. Moreover, our findings indicate that product-reward campaigns rely on a strong early surge, whereas non-product-reward campaigns benefit from sustained engagement throughout the campaign. Based on these insights, we propose a phase-adaptive strategy matrix to optimize communication strategies, thereby offering actionable guidance for improving crowdfunding success rates and challenging traditional static models.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103007"},"PeriodicalIF":27.0,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145616136","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
To stream or not: A mixed-methods study of merchants’ willingness to join live-streaming E-commerce platforms 流还是不流:商家加入电商直播平台意愿的混合方法研究
IF 27 1区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-11-29 DOI: 10.1016/j.ijinfomgt.2025.103008
Jiaxuan Li , Feng Ding , Zhongyuan Yuan , Yang Yi , Ruohan Li , Qinjian Yuan
Live streaming e-commerce platforms (LSEPs) have emerged as a mainstream sales channel, offering consumer’s real-time interaction and immersive shopping experiences. While consumer behaviour and decision-making on LSEPs have been extensively studied, little is known about the motivations behind merchants’ participation in LSEPs. As core participants in LSEPs, understanding merchants’ participation motivations is crucial for the sustainable development of the platform. To address this research gap, this study constructs a dual-layer model explaining merchant participation in LSEPs based on the Technology-Organization-Environment (TOE) framework and the Perceived Value Theory (PVT). A mixed-methods research approach was employed, involving semi-structured interviews with 30 merchants with LSEPs experience in China, identifying 12 driving factors. Based on these factors, the study utilized structural equation modeling to analyse 405 cross-sectional data points, examining the complex relationships among the factors and their impact on merchant participation intentions. The findings reveal that external factors such as market conditions, policy support, platform service quality, and peer influence significantly influence merchants’ perceived value and risk of joining LSEPs, thereby affecting their participation intentions. Based on these findings, this study deepens the theoretical understanding of merchants’ entry into LSEPs and provides actionable insights for LSEPs’ managers aiming to enhance merchant participation and platform sustainability.
直播电商平台(lsep)已经成为主流的销售渠道,为消费者提供实时互动和沉浸式购物体验。虽然消费者的行为和对低成本服务的决策已经得到了广泛的研究,但人们对商家参与低成本服务背后的动机知之甚少。作为lsep的核心参与者,了解商家的参与动机对平台的可持续发展至关重要。为了弥补这一研究空白,本研究基于技术-组织-环境(TOE)框架和感知价值理论(PVT)构建了一个解释商人参与lsep的双层模型。采用混合研究方法,对30位在中国有lsep经验的商家进行了半结构化访谈,确定了12个驱动因素。基于这些因素,本研究利用结构方程模型对405个截面数据点进行分析,考察了各因素之间的复杂关系及其对商家参与意愿的影响。研究发现,市场条件、政策支持、平台服务质量、同行影响力等外部因素显著影响商家的感知价值和加入lsep的风险,从而影响商家的参与意愿。基于这些发现,本研究深化了商家进入LSEPs的理论认识,并为LSEPs管理者提供了可操作的见解,旨在提高商家参与度和平台可持续性。
{"title":"To stream or not: A mixed-methods study of merchants’ willingness to join live-streaming E-commerce platforms","authors":"Jiaxuan Li ,&nbsp;Feng Ding ,&nbsp;Zhongyuan Yuan ,&nbsp;Yang Yi ,&nbsp;Ruohan Li ,&nbsp;Qinjian Yuan","doi":"10.1016/j.ijinfomgt.2025.103008","DOIUrl":"10.1016/j.ijinfomgt.2025.103008","url":null,"abstract":"<div><div>Live streaming e-commerce platforms (LSEPs) have emerged as a mainstream sales channel, offering consumer’s real-time interaction and immersive shopping experiences. While consumer behaviour and decision-making on LSEPs have been extensively studied, little is known about the motivations behind merchants’ participation in LSEPs. As core participants in LSEPs, understanding merchants’ participation motivations is crucial for the sustainable development of the platform. To address this research gap, this study constructs a dual-layer model explaining merchant participation in LSEPs based on the Technology-Organization-Environment (TOE) framework and the Perceived Value Theory (PVT). A mixed-methods research approach was employed, involving semi-structured interviews with 30 merchants with LSEPs experience in China, identifying 12 driving factors. Based on these factors, the study utilized structural equation modeling to analyse 405 cross-sectional data points, examining the complex relationships among the factors and their impact on merchant participation intentions. The findings reveal that external factors such as market conditions, policy support, platform service quality, and peer influence significantly influence merchants’ perceived value and risk of joining LSEPs, thereby affecting their participation intentions. Based on these findings, this study deepens the theoretical understanding of merchants’ entry into LSEPs and provides actionable insights for LSEPs’ managers aiming to enhance merchant participation and platform sustainability.</div></div>","PeriodicalId":48422,"journal":{"name":"International Journal of Information Management","volume":"87 ","pages":"Article 103008"},"PeriodicalIF":27.0,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145616134","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
期刊
International Journal of Information Management
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1