共查询到16条相似文献，搜索用时 171 毫秒
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餐饮外卖移动APP信息采纳行为影响因素实证研究 总被引：1，自引：0，他引：1
[目的/意义] 移动商务快速发展,O2O模式的移动商务越来越受到大众的关注,研究餐饮外卖移动APP信息采纳行为对于移动互联网环境下用户信息行为的研究及推进O2O模式移动APP的应用起到重要作用。[方法/过程] 以技术采纳和使用整合理论及感知信息质量理论为基础,构建餐饮外卖移动APP信息采纳行为影响因素模型,运用问卷调查的方法进行实证研究、收集调查数据,对数据进行统计分析,探究所构建模型的适用性及各影响因素的影响方向及程度。[结果/结论] 餐饮外卖移动APP信息采纳意向受到绩效期望、社会影响、感知信息质量正向影响;感知风险对采纳意向未达到显著性影响;采纳意向和促进因素正向影响采纳行为。 相似文献
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基于传统信息系统采纳模型,结合心理学和行为科学相关理论,从一般技术因素、特定技术因素、用户心理因素和社会影响因素四个方面构建了一个整合的移动图书馆用户采纳行为的结构方程模型,并且采用SPSS 17．0和PLS结构方程软件对模型和假设进行检验。实证结果表明：感知易用性、感知移动性、用户创新性、感知信任和网络外部性是影响用户采纳移动图书馆的主要因素,而感知有用性、感知货币价值和社会规范对用户采纳移动图书馆的影响不显著。 相似文献
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图书馆移动阅读用户接纳行为影响因素研究 总被引：3，自引：2，他引：1
[目的/意义]移动互联网技术和信息消费的发展为图书馆移动阅读发展提供了良好条件,研究图书馆移动阅读服务的用户接纳行为影响因素对推动图书馆移动服务功能建设有重要意义。[方法/过程]基于TAM和ISSM,构建图书馆移动阅读影响因素模型,运用问卷调查法和结构方程法,针对典型用户群体发放问卷,进行数据分析。[结果/结论]数据分析结果表明,感知易用性、感知有用性、信息有用性、内部环境质量、外部环境质量均对移动服务阅读使用态度产生正向影响,信息时效性对用户采纳态度不产生影响;用户移动服务阅读使用态度对移动服务阅读采纳行为产生正向影响。分析结果可为我国公共图书馆和高校图书馆了解移动阅读中的用户行为特征,采取相应的转型升级策略起到一定的指导作用。 相似文献
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[目的/意义]移动应用程序（APP）的大量供给及用户注意力稀缺性,导致了其激烈的生存竞争。对于亟待发展的学术APP而言,研究其用户采纳意愿的主要影响因素并加以利用具有重要意义。[方法/过程]以技术接受模型、期望确认模型等经典用户行为理论模型为基础,结合学术APP的特点,构建学术APP用户采纳意愿影响因素模型;运用问卷调查的方法收集数据并对数据进行统计分析和实证研究,从而验证模型的适用性。[结果/结论]感知有用性、感知易用性、满意度、感知权威及社会影响对学术APP用户采纳意愿有显著正向影响。学术APP开发者应当增加资源的可获得性,提升用户对有用性与易用性的感知;强化APP属性,提升用户满意度;严格控制资源的专业性,维护用户对权威性的感知;扩大学术APP的社会影响。 相似文献
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基于TAM(技术接受模型),引入TOE(技术-组织-环境模型)的要素,结合移动税务推广情况,构建企业移动税务采纳影响因素的理论模型,并以武汉、南京两地企业为对象展开问卷调查。实证检验表明,政府压力、感知易用性、市场竞争压力、人力资源投入、第三方推动、感知有用性、信息技术基础设施是影响企业采纳意向的重要因素。最后,根据研究结果得出提高企业移动税务采纳水平的建议。 相似文献
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[目的/意义]识别并分析影响政务微信公众号服务质量的关键因素,为科学评估政务微信公众号服务质量和进一步提升政务微信的综合社会效用提供理论基础。[方法/过程]从信息生态视角构建了政务微信公众号服务质量的影响因素体系,运用DEMATEL方法对所有可能影响政务微信公众号服务质量的因素进行关联分析。[结果/结论]根据所有因素的综合影响指数排序,识别出影响政务微信公众号服务质量的关键因素,并据此提出若干提升政务微信服务质量的建议和对策。 相似文献
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Enabling AI capabilities in government agencies: A study of determinants for European municipalities
《Government Information Quarterly》2022,39(4):101596
Artificial Intelligence (AI) is gradually becoming an integral part of the digital strategy of organizations. Yet, the use of AI in public organizations in still lagging significantly compared to private organizations. Prior literature looking into aspects that facilitate adoption and use of AI has concentrated on challenges concerning technical aspects of AI technologies, providing little insight regarding the organizational deployment of AI, particularly in public organizations. Building on this gap, this study seeks to examine what aspects enable public organizations to develop AI capabilities. To answer this question, we built an integrated and extended model from the Technology-Organization-Environment framework (TOE) and asked high-level technology managers from municipalities in Europe about factors that influence their development of AI capabilities. We collected data from 91 municipalities from three European countries (i.e., Germany, Norway, and Finland) and analyzed responses by means of structural equation modeling. Our findings indicate that five factors – i.e. perceived financial costs, organizational innovativeness, perceived governmental pressure, government incentives, regulatory support – have an impact on the development of AI capabilities. We also find that perceived citizen pressure and perceived value of AI solutions are not important determinants of AI capability formation. Our findings bear the potential to stimulate a more reflected adoption of AI supporting managers in public organizations to develop AI capabilities. 相似文献
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《Government Information Quarterly》2019,36(2):368-383
The nascent adoption of Artificial Intelligence (AI) in the public sector is being assessed in contradictory ways. But while there is increasing speculation about both its dangers and its benefits, there is very little empirical research to substantiate them. This study aims at mapping the challenges in the adoption of AI in the public sector as perceived by key stakeholders. Drawing on the theoretical lens of framing, we analyse a case of adoption of the AI system IBM Watson in public healthcare in China, to map how three groups of stakeholders (government policy-makers, hospital managers/doctors, and Information Technology (IT) firm managers) perceive the challenges of AI adoption in the public sector. Findings show that different stakeholders have diverse, and sometimes contradictory, framings of the challenges. We contribute to research by providing an empirical basis to claims of AI challenges in the public sector, and to practice by providing four sets of guidelines for the governance of AI adoption in the public sector. 相似文献
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《Government Information Quarterly》2023,40(2):101800
Digital healthcare is in the spotlight due to the prevailing COVID-19 situation. To get the deeper understanding of the healthcare consumers' adoption of e-government telemedicine service (EGTMS), the present research extends the unified model of e-government adoption (UMEGA) with perceived severity, self-efficacy, and political trust. The extended UMEGA model is empirically validated with 452 valid Indian healthcare consumers' responses. The findings reported that performance expectancy, perceived severity, effort expectancy, and perceived risk significantly influenced Indian healthcare consumers' attitudes towards EGTMS. Further political trust showed significant influence over social influence. However, social influence is observed as non-significant. Furthermore, attitude, political trust and facilitating conditions significantly influenced individuals' behavioral intentions towards EGTMS and observed significant influence of self-efficacy on effort expectancy. This is the first study that reveals the critical factors of Indian healthcare consumers' behavioral intention towards EGTMS. With the upsurge in e-government healthcare services, the outcomes of the study will benefit stakeholders such as governmental agencies, marketers, public administrators, and healthcare professionals as they provide suitable strategic recommendations to design and implement e-government telemedicine services. 相似文献
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[目的/意义]基于评论效价,将从初始评论到追加评论的动态变化分为一致性在线评论和矛盾性在线评论,结合信息采纳模型,研究不同变化类型对消费者信息采纳的影响,构建理论模型并进行研究。[方法/过程]以淘宝网上运动鞋的初始评论和追加评论为例,采取实验研究的方法,通过4组调查问卷设计,利用SPSS 21.0软件对调查问卷的数据进行分析和处理。[结果/结论]结果表明,一致性和矛盾性在线评论相比,消费者对矛盾性在线评论的有用性感知更强,两种变化类型的评论都是通过感知有用性作用于消费者的信息采纳,自我效能会调节消费者对在线评论的有用性感知。 相似文献
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[目的/意义]以网络直播为代表的新兴交互媒体正在深刻地改变人们的生活习惯和精神文化需求,对网络直播APP用户使用行为影响因素进行分析,可以让网络直播平台更好地了解网络直播用户的采纳特征,帮助平台运营商提供更好的服务。[方法/过程]基于TAM和UTAUT模型,采用问卷调查和结构方程模型构建网络直播APP用户使用行为的影响因素概念模型,针对典型群体对影响因素模型进行实证分析。[结果/结论]数据分析结果表明,网络直播APP用户使用意愿的影响最大的是感知交互性,其次是用户感知价值;感知风险性对网络直播用户使用意愿产生负向影响,社会因素对使用意愿不产生影响。 相似文献
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��[Purpose/significance] The emerging interactive media represented by live-streaming is profoundly changing people's living habits and the spiritual and cultural needs. Analysis of the influencing factors of the behavior of live-streaming APP users can enable the live-streaming platform to better understand the adoption characteristics of live-streaming users. The adoption characteristics of live-streaming users help platform operators to provide better services.[Method/process] Based on the TAM and UTAUT models, a questionnaire and a structural equation model were used to construct a conceptual model of the influencing factors of the use behavior of online live APP users, and an empirical analysis was conducted on the influencing factors model of typical groups.[Result/conclusion] The results of data analysis show that the most influential effect of online live APP user is perceived interactivity, followed by user perceived value; perceived risk has a negative impact on the willingness of users of live-streaming users and social factors have no effect on their willingness to use. 相似文献