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为解决不同学者对移动图书馆用户采纳行为影响因素在程度和方向上的差异,探索影响移动图书馆用户采纳行为普适性的因素,综合已有国内外移动图书馆用户采纳行为32篇实证研究共8725个独立样本进行综合分析,采用定量和定性相结合的元分析方法,从四个方面即知识内容特性、技术媒介特性、情境特性和个体特性考虑影响采纳行为的变量。研究结果表明,感知有用性、感知质量、任务-技术匹配、感知易用性、兼容性、可访问性、主观规范、自我效能、创新精神是影响用户采纳意愿的主要因素,感知成本则对采纳意愿有显著的阻碍作用。同时,针对研究结果,结合移动图书馆应用情境从知识内容构建、系统技术保障、营销推广和用户引导四个方面提出了促进移动图书馆用户采纳行为的策略。 相似文献
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The global spread and use of internet and mobile contributed to the development of digital payments and baking. There is a lack of research which provides comprehensive synthesis and analysis of factors affecting the use and adoption of digital banking and payment methods in GCC countries. Thus, the aim of this paper is to provide a comprehensive literature review and perform weight and meta-analysis. By reviewing 46 studies, it was found that best predictors for digital payment and banking adoption in GCC countries are trust, perceived security and perceived usefulness. Based on the extensive literature review, the conceptual of factors affecting adoption digital banking and payment methods in Gulf countries model was proposed, which will set agenda for future research. Practitioners will be able to use the findings from this study to improve adoption and quality of digital banking and payment services 相似文献
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随着云计算的不断发展,云企业信息系统(EIS)显示出其优势,愈来愈多企业愿意考虑从传统EIS转换到云EIS系统。然而,却很少研究探讨企业在EIS的转换议题,本研究整合信息系统成功模型和技术接受模型,发展一个多理论框架去探索企业向云ERP转换的意愿。我们从企业管理者收集了199份调查问卷,通过结构方程模型验证本研究模型与假设,结果发现有用性和易用性是影响转换意愿重要因素,易用性、信息质量和系统质量则正向影响认知有用性,这些结论,给未来转换意愿研究提供了参考,我们建议云服务供应商应重视系统本身的易用性和有用性,提高系统质量并关注信息质量,以帮助他们提供企业需求的产品,吸引更多企业从传统EIS转换到云EIS。 相似文献
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随着云计算的不断发展,云企业信息系统(EIS)显示出其优势,愈来愈多企业愿意考虑从传统EIS转换到云EIS系统。然而,却很少研究探讨企业在EIS的转换议题,本研究整合信息系统成功模型和技术接受模型,发展一个多理论框架去探索企业向云ERP转换的意愿。我们从企业管理者收集了199份调查问卷,通过结构方程模型验证本研究模型与假设,结果发现有用性和易用性是影响转换意愿重要因素,易用性、信息质量和系统质量则正向影响认知有用性,这些结论,给未来转换意愿研究提供了参考,我们建议云服务供应商应重视系统本身的易用性和有用性,提高系统质量并关注信息质量,以帮助他们提供企业需求的产品,吸引更多企业从传统EIS转换到云EIS。 相似文献
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Information and communication technologies in use in government systems can bring about expected benefits only when citizens are willing and able to use such systems. Previous studies from various disciplines provided a fundamental understanding of human behavior with technology adoption that focused mainly on the technical and supply sides of this adoption. We argue that it is necessary to move away from an assumption that users form a homogeneous group under the phenomenon of the digital divide. Having conducted an online experiment, this study empirically examined the effects of personal factors, particularly the perceived information literacy, and the perceived information overload, on the user’s perceptions on the usefulness and trust in a government website. We find that the higher an individual perceives one’s information literacy, the more he or she trusts the website, and this is mediated by one’s perceived information overload (negatively) and perceived usefulness (positively). This research provides a more balanced understanding of the behavior of e-government adoption, supplemented with the details of citizen engagement factors, and specifies meaningful practical implications for successful e-government policies. 相似文献
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Nowadays, using increasingly granular data, from real-time location information and detailed demographics to consumers-generated content on the social networking sites (SNSs), businesses are starting to offer precise location-based product recommendation services through mobile devices. Based on the technology acceptance model (TAM), this paper develops a theoretical model to examine the adoption intention of active SNS users toward location-based recommendation agents (LBRAs). The research model was tested by using the Partial Least Squares (PLS) technique. The results show that perceived usefulness, perceived control, and perceived institutional assurance are important in developing adoption intention. Perceived effort saving, special treatment, and social benefit have influences on the adoption intention through the mediating effect of perceived usefulness. Perceived accuracy has direct influence on adoption intention. 相似文献
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Fostering positive attitudes and increasing knowledge are key success factors for enterprise systems. Training can improve knowledge, but little research has investigated the effects of domain-relevant knowledge on salient cognitive beliefs and attitude in technology acceptance. We highlight the critical role of domain-relevant knowledge in the formation of beliefs and the shaping of attitude by developing a model of informed technology acceptance. We hypothesize the positive effects of multi-dimensional enterprise resource planning (ERP) knowledge on salient cognitive beliefs (i.e., ERP self-efficacy, perceived ease of use, and perceived usefulness) and general affective attitude toward an ERP system. Using survey data from gamified ERP training of 248 professionals from three different organizations, results support the proposed model, suggesting that ERP knowledge is an important antecedent of ERP self-efficacy, perceived ease of use, perceived usefulness, and attitude. We find that ERP knowledge exhibits both direct and indirect effects on attitude. Moreover, we find that gamified training is an effective means of improving ERP knowledge. 相似文献
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宅基地退出是解决当前宅基地低效利用问题的重要抓手,是乡村振兴和乡村建设的重要组成部分。本文基于技术接受模型和感知价值理论,利用重庆市503份农户问卷数据,借助结构方程模型(SEM)揭示农户宅基地退出决策机制。结果表明:①技术接受模型(TAM)整合感知风险(PR)的研究模型适用于农户宅基地退出决策的影响机制研究。农户退地决策主要受感知有用性、感知易用性的正向影响和感知风险的负向影响;②影响农户退出宅基地行为决策各因素中,感知有用性的影响最强,感知易用性次之,感知风险最弱,其影响路径系数分别为0.35、0.29和-0.18;③社会环境、家庭环境及宅基地环境通过影响农户感知有用性、感知易用性和感知风险间接影响农户的退出行为决策,是推进宅基地政策有效实施过程中不可忽视的重要因素。基于此,宅基地退出补偿政策的制定应契合农户的生产生活实际,体现易用性和可操作性;同时还应完善相关社会保障措施,并确保退地补偿按时到位。 相似文献
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本文基于技术接受模型和计划行为理论,以武汉市部分高校学生为研究对象,建立了高校学生对移动图书馆使用意向的影响因素模型。运用问卷调查方法对高校学生移动图书馆使用意向进行了实证研究。通过SPSS软件和AMOS软件对提出的模型加以验证。得出感知有用性、感知易用性、外部影响、人际影响、自我效能、便利条件、态度、主观规范和感知行为控制是高校学生使用移动图书馆的主要影响因素。 相似文献
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基于信息系统、行为科学和心理学理论,从一般技术因素、特定技术因素、消费者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服务用户采纳行为的结构方程模型。在我国移动服务背景下,以移动阅读为研究对象,运用SPSS 13.0和PLS结构方程分析软件验证模型和假设。研究发现:影响用户采纳基于工作环境下的传统信息技术和基于日常生活环境下的移动信息技术的关键因素存在显著差异。感知愉悦性、心流体验、感知易用性和感知移动性是影响用户采纳移动阅读的主要因素,而感知有用性、感知货币价值和社会影响对用户采纳移动阅读的影响不显著。 相似文献
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Tony Cheng-Kui Huang Chuang-Chun Liu Dong-Cheng Chang 《International Journal of Information Management》2012
Previous studies explored the adoption of various information technologies. However, there is little empirical research on factors influencing the adoption of data mining tools (DMTs), particularly at an individual level. This study investigates how users perceive and adopt DMTs to broaden practical knowledge for the business intelligence community. First, this study develops a theoretical model based on the Technology Acceptance Model 3, and then examines its perceived usefulness, perceived ease of use, and its ability to explain users’ intentions to use DMTs. The model's determinants include 4 categories: the task-oriented dimension (job relevance, output quality, result demonstrability, response time, and format), control beliefs (computer self-efficacy and perceptions of external control), emotion (computer anxiety), and intrinsic motivation (computer playfulness). This study also surveys the moderating effect of experience and output quality on the determinants of DMT adoption and use. An empirical study involving 206 DMT users was conducted to evaluate the model using structural equation modeling. Results demonstrate that the proposed model explains 58% of the variance. The findings of this study have interesting implications with respect to DMT adoption, both for researchers and practitioners. 相似文献
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在技术接受模型(TAM)、情绪心理学、神经科学等理论的基础上,以一个电子商务推荐系统为例,通过情景实验的方式考察积极情绪对用户信息技术采纳行为的影响。对实验数据的统计分析表明积极情绪正向影响用户对信息技术的采纳意向,并存在直接和间接相结合的影响模式。即积极情绪既直接提高采纳意向,也同时通过感知风险、感知有用性和感知易用性作为不完全中介变量提高采纳意向。在考虑情绪因素后,技术接受理论得到了丰富,也为信息技术推广方获得更高的用户接受程度提供了新的切入点。 相似文献
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《The Journal of High Technology Management Research》2019,30(1):1-14
The purpose of this study is to explore differences of adoption of smartwatches in China, France, and Thailand. We propose an analytical framework aggregating the technology acceptance model (TAM) elements, perceived affective quality (PAQ), mobility, availability, and trust. A quantitative approach with Smart-PLS software is used. Results show significant differences (1) between France and Thailand for availability - perceived ease of use (PEOU) and PEOU - perceived usefulness (PU) links; (2) between France and China, for PEOU - PU and trust – PU links; and finally, (3) for trust – PU, and PAQ - PEOU links between China and Thailand. The results give practitioners insights on how to successfully propose their devices in three countries, using both general strategies and specific communication systems. In China, practitioners should focus on PAQ, mobility, and trust. In Thailand, on PAQ, mobility, while differentiating based on the age and sex of their targets. In France, PAQ should be the focus, with a concern about gender with regard to communication strategies. 相似文献
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基于认知视角,借鉴信息系统持续使用研究,分析了大五人格对即时通讯服务持续使用的影响。研究发现:大五人格中的神经质、外向性、开放性和尽责性通过感知有用性、感知易用性和感知娱乐性对即时通讯服务持续使用产生间接影响。 相似文献
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[目的/意义] 探讨影响政务微信用户持续使用行为的关键因素及作用机制,以期为我国政务微信服务优化提供理论依据和实践支持。[方法/过程] 借鉴刺激-机体-反应模型,将技术因素和社会因素作为刺激,用户契合作为调节变量,构建政务微信用户持续使用行为模型。利用偏最小二乘法对问卷数据进行分析,对模型进行验证。[结果/结论] 移动性正向影响有用性感知和易用性感知;服务质量正向影响有用性感知,对易用性感知没有显著影响;主观规范和信任两个社会因素均正向影响有用性感知和易用性感知;有用性感知和易用性感知作为机体正向影响持续使用行为,用户契合对易用性感知与持续使用行为之间的影响关系具有负向调节作用。鉴于此,本文进行了广泛探讨并给出了对政务微信服务实践的启示。 相似文献
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Surabhi Verma Som Sekhar Bhattacharyya Saurav Kumar 《Information processing & management》2018,54(5):791-806
Research on the adoption of systems for big data analytics has drawn enormous attention in Information Systems research. This study extends big data analytics adoption research by examining the effects of system characteristics on the attitude of managers towards the usage of big data analytics systems. A research model has been proposed in this study based on an extensive review of literature pertaining to the Technology Acceptance Model, with further validation by a survey of 150 big data analytics users. Results of this survey confirm that characteristics of the big data analytics system have significant direct and indirect effects on belief in the benefits of big data analytics systems and perceived usefulness, attitude and adoption. Moreover, there are mediation effects that exist among the system characteristics, benefits of big data analytics systems, perceived usefulness and the attitude towards using big data analytics system. This study expands the existing body of knowledge on the adoption of big data analytics systems, and benefits big data analytics providers and vendors while helping in the formulation of their business models. 相似文献