共查询到20条相似文献，搜索用时 15 毫秒
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Mobile health (mHealth) services support the continuous health-related monitoring, feedback, and behavior modification of individuals and populations through the use of personal mobile communication devices. Poor service quality is a major reason why many users have discontinued using mHealth services. However, only a few studies have identified the critical quality components for continuance intention. The current study aims to identify the crucial quality dimensions for users’ continuance intention in an mHealth service called Onecare. This service provides various forms of support for the day-to-day health behavior monitoring of college students by utilizing daily behavior data. In this research, five major quality dimensions of mHealth services, namely, content quality, engagement, reliability, usability, and privacy, were derived from existing studies. The effect of each quality dimension on continuance intention was estimated by analyzing the survey responses of 191 Onecare service users. The quality dimension with the most considerable effect on continuance intention was determined to be engagement followed by content quality and reliability. By contrast, the effects of usability and privacy on continuance intention were insignificant. Furthermore, this study found that the optimal quality management strategy can change depending on the objective, i.e., to increase continuance intention or satisfaction. These results will help mHealth service managers allocate their limited resources to effectively and efficiently improve continuance intention. Future research is required to verify if the findings of this study are generalizable to any population because the sample used in this work was specific to Korean college students. 相似文献
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This study theorizes two information systems (IS) use behaviors associated with individuals’ behavioral intention of mobile health (mHealth) services. Emergency use refers to individuals’ use of IS in emergency situations. Routine use refers to individuals’ use of IS on a basis. We adopt motivation theory as our overarching theoretical lens through which we investigate the influence of individuals’ different motivation incentives on their emergency and routine use intentions of mHealth services. We also investigate the influences of technological and psychological antecedents on extrinsic and intrinsic motivations. Based on data collected from 241 participants, we find that perceived usefulness enhances people’s emergency and routine use intentions of mHealth services and that perceived enjoyment positively influences routine use intention. In addition, we find that perceived source credibility, perceived service availability, and perceived diagnosticity influence perceived usefulness (extrinsic motivation), whereas perceived autonomy, perceived competence, perceived relatedness, and curiosity affect perceived enjoyment (intrinsic motivation). This research offers insights for IS literature regarding mHealth emergency and routine use behaviors. 相似文献
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mHealth under the umbrella of eHealth has become an essential tool for providing quality, accessible and equal health care services at an affordable cost. Despite the potential benefits of mHealth, its adoption remains a big challenge in developing countries such as Bangladesh. This study aims to examine the factors affecting the adoption of mHealth services in Bangladesh by using the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model with perceived reliability and price value factors. It also examines the moderating effect of gender on the intention to use and on the actual usage behavior of users of mHealth services. A well-structured face-to-face survey was employed to collect the data. Structural equation modeling (SEM) with a partial least squares method was used to analyze the data collected from 296 generation Y participants. The results confirmed that performance expectancy, social influence, facilitating conditions and perceived reliability positively influence the behavioral intention to adopt mHealth services. However, effort expectancy and price value did not have a significance influence on the behavioral intention. Moreover, Gender has a significant moderating effect on mHealth services adoption in certain cases. Finally, the theoretical and practical implications of this study are also discussed. 相似文献
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[目的/意义]探索信息技术背景下用户量化自我持续参与意愿的影响因素及其作用机制,为提升用户的健康行为意愿提供合理的理论支撑.[方法/过程]基于用户感知视角,以技术接受模型为理论基础,运用问卷调查方法收集数据,利用SPSS软件和AMOS软件进行数据分析,建立了用户量化自我持续参与意愿影响因素模型.[结果/结论]感知有用性... 相似文献
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《Information processing & management》2022,59(6):103096
This study systematically examines the effects of mobile health (mHealth) on physical activity in a Chinese fitness app (WeRun). Drawing on the theory of reasoned action, we identified several psychosocial mechanisms for understanding mHealth effects and unpacked these mechanisms through a survey with 403 WeRun users. We also collected self-tracked behavioral data on the daily step counts of the participants over the previous week of the study. As predicted, exercise intention was a strong predictor of self-tracked physical activity. The results provide compelling support for the social support, social comparison, and attitudinal mechanisms in motivating physical activity via fitness apps. For social support features, informational support was indirectly associated with stronger exercise intention via the mediation of attitudes towards exercise. The esteem support was directly associated with stronger exercise intention. For social comparison features, upward and downward comparisons were associated with exercise intention via attitudes towards exercise but in opposite directions. The findings are discussed for theoretical implications for understanding mHealth behaviors and practical implications in mHealth design. 相似文献
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mHealth applications (MHA) have recently attracted great attention from various stakeholders as they are indeed important means to enhance users’ subjective well-being. While prior research has mainly focused on intention or adoption phase, little work has empirically examined the post-adoption effects of MHA with scarce attention given to the well-being outcome. Actual users are likely to conceive the values of MHA based mainly on their direct experience with it. In this paper, the dimensions of users’ technology readiness are regarded as major impetuses for perceived utilitarian and hedonic values, which in turn influence subjective well-being among MHA users. The proposed readiness-value model is analyzed using survey data collected from 731 users of MHA. The findings show that the model significantly predicts users’ subjective well-being considering that utilitarian value is more important for male users, whereas hedonic value has a more salient effect for female users. It also reveals that enablers of technology readiness (i.e., innovativeness and optimism) exert a stronger influence than that of inhibitors (i.e., discomfort and insecurity) on the perceived values of MHA. These results have essential implications for theory and practice. 相似文献
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Vendors of mobile communication applications/services (apps) aim at improve their designs to attract and retain users, and thus achieve the critical mass needed to ensure the success of their services. Despite the significant number of prior mobile service studies, few works have examined the effects of inertia and satisfaction on the users’ continuance intention with regard to specific mobile communication apps from a mobile-service-quality perspective. By integrating the mobile service quality framework, inertia, and user satisfaction, this study develops a model for interpreting the development of the continuance intention of users of mobile communication apps. Data collected from 238 users of such apps provided support for the model. The results indicated that interaction quality, environment quality, inertia, and user satisfaction are key determinants of continuance intention, while outcome quality is not. The theoretical and practical implications of this work are discussed. 相似文献
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基于UTAUT和TTF模型的移动图书馆用户采纳行为研究 总被引：1，自引：0，他引：1
移动图书馆是新的网络环境下为用户提供随时、随地、随需信息服务的应用平台,近年来其呼声热度很高,但仍然面临用户采纳率不理想的局面,为解决此现实问题,分析和挖掘影响移动图书馆用户采纳意愿的因素,解释和预测移动图书馆用户行为是至关重要的。本文在整合UTAUT和TTF模型的基础上,从用户感知和任务/技术的双重视角构建理论模型,采用实证研究方法,利用结果方程模型探究各个因素对移动图书馆用户采纳意愿的影响。数据分析结果表明,绩效期望、个体创新和感知信任对移动图书馆用户采纳意愿有显著正向影响,任务技术匹配通过绩效期望间接影响用户采纳意愿。并在此基础上讨论了本文对移动图书馆发展的理论和实践意义。 相似文献
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Fattane Zarrinkalam Mohsen Kahani Ebrahim Bagheri 《Information processing & management》2018,54(2):339-357
Inferring users’ interests from their activities on social networks has been an emerging research topic in the recent years. Most existing approaches heavily rely on the explicit contributions (posts) of a user and overlook users’ implicit interests, i.e., those potential user interests that the user did not explicitly mention but might have interest in. Given a set of active topics present in a social network in a specified time interval, our goal is to build an interest profile for a user over these topics by considering both explicit and implicit interests of the user. The reason for this is that the interests of free-riders and cold start users who constitute a large majority of social network users, cannot be directly identified from their explicit contributions to the social network. Specifically, to infer users’ implicit interests, we propose a graph-based link prediction schema that operates over a representation model consisting of three types of information: user explicit contributions to topics, relationships between users, and the relatedness between topics. Through extensive experiments on different variants of our representation model and considering both homogeneous and heterogeneous link prediction, we investigate how topic relatedness and users’ homophily relation impact the quality of inferring users’ implicit interests. Comparison with state-of-the-art baselines on a real-world Twitter dataset demonstrates the effectiveness of our model in inferring users’ interests in terms of perplexity and in the context of retweet prediction application. Moreover, we further show that the impact of our work is especially meaningful when considered in case of free-riders and cold start users. 相似文献
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【目的/意义】信息共享和信息搜寻是用户参与在线健康社区的主要方式,在参与过程中,用户往往会出于
不同目的同步实施信息共享和信息搜寻的复合信息行为,探讨影响用户同步实施两种行为的因素,有助于帮助在
线健康社区精准把握用户需求,进一步优化提升服务策略。【方法/过程】通过结合自我决定理论和TAM模型,构建
在线健康社区用户信息共享与搜寻行为意愿影响因素模型。通过发放问卷收集数据并运用结构方程模型对研究
假设进行验证。【结果/结论】研究结果表明健康焦虑对信息搜寻意愿有显著影响,情感需要对信息共享意愿有显著
影响。此外,用户信息共享意愿对信息共享和搜寻行为均有正向影响,而用户的信息搜寻意愿仅显著影响搜寻行
为。【创新/局限】丰富了在线健康社区用户信息行为研究领域的理论框架,为在线健康社区用户行为研究提供了新
的视角。未来的相关研究将会针对某一特定社区用户进行更深层次的探讨。 相似文献
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《Information processing & management》2022,59(1):102755
General recommenders and sequential recommenders are two modeling paradigms of recommender. The main focus of a general recommender is to identify long-term user preferences, while the user’s sequential behaviors are ignored and sequential recommenders try to capture short-term user preferences by exploring item-to-item relations, failing to consider general user preferences. Recently, better performance improvement is reported by combining these two types of recommenders. However, most of the previous works typically treat each item separately and assume that each user–item interaction in a sequence is independent. This may be a too simplistic assumption, since there may be a particular purpose behind buying the successive item in a sequence. In fact, a user makes a decision through two sequential processes, i.e., start shopping with a particular intention and then select a specific item which satisfies her/his preferences under this intention. Moreover, different users usually have different purposes and preferences, and the same user may have various intentions. Thus, different users may click on the same items with an attention on a different purpose. Therefore, a user’s behavior pattern is not completely exploited in most of the current methods and they neglect the distinction between users’ purposes and their preferences. To alleviate those problems, we propose a novel method named, CAN, which takes both users’ purposes and preferences into account for the next-item recommendation. We propose to use Purpose-Specific Attention Unit (PSAU) in order to discriminately learn the representations of user purpose and preference. The experimental results on real-world datasets demonstrate the advantages of our approach over the state-of-the-art methods. 相似文献
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随着开源软件(OSS)的普及，作为其承载平台的开源软件社区，也得到了用户的广泛使用。但用户往往仅从社区获取开源软件或代码，而缺乏知识贡献的意愿，这将影响OSS社区的持续运营和发展。基于社会影响理论，本文建立了开源软件社区用户知识贡献行为模型，考察了顺从、认同、内化三种社会影响机制对用户行为的作用。研究收集了351份有效数据，采用结构方程模型(SEM)进行分析。研究结果显示，社会认可（认同机制）是影响开源软件社区用户知识贡献意愿的主要因素，群体规范（内化机制）对用户的贡献意愿没有显著作用，而主观规范（顺从机制）阻碍用户的贡献意愿形成。研究结果启示开源软件社区需重视建立用户的社会认同，从而促进其知识贡献行为，确保社区的成功。 相似文献
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《Information processing & management》2020,57(2):102142
With the information explosion of news articles, personalized news recommendation has become important for users to quickly find news that they are interested in. Existing methods on news recommendation mainly include collaborative filtering methods which rely on direct user-item interactions and content based methods which characterize the content of user reading history. Although these methods have achieved good performances, they still suffer from data sparse problem, since most of them fail to extensively exploit high-order structure information (similar users tend to read similar news articles) in news recommendation systems. In this paper, we propose to build a heterogeneous graph to explicitly model the interactions among users, news and latent topics. The incorporated topic information would help indicate a user’s interest and alleviate the sparsity of user-item interactions. Then we take advantage of graph neural networks to learn user and news representations that encode high-order structure information by propagating embeddings over the graph. The learned user embeddings with complete historic user clicks capture the users’ long-term interests. We also consider a user’s short-term interest using the recent reading history with an attention based LSTM model. Experimental results on real-world datasets show that our proposed model significantly outperforms state-of-the-art methods on news recommendation. 相似文献
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移动互联网用户采纳研究——基于感知利益、成本和风险视角 总被引：1，自引：0，他引：1
基于感知利益、成本和风险视角,对移动互联网用户采纳行为进行研究,构建用户采纳的结构方程模型,以揭示影响用户采纳移动互联网的关键因素及其作用机理。利用SPSS软件对模型量表进行探索性因子分析,使用SmartPLS软件对模型量表进行验证性因子分析和对结构方程模型的假设进行检验。结果显示用户对移动互联网的感知有用性、感知乐趣、无所不在性、感知成本对感知价值影响显著,感知价值、社会影响和感知有用性对用户采纳意向有直接影响,用户创新意识对感知价值与用户采纳意向的关系有显著负向调节作用。最后,对研究结果进行了讨论,提出促进我国移动互联网发展的建议。 相似文献
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以微信小程序为代表的轻量应用一定程度上改变了企业与用户之间的互动方式,如何提高“用户留存”已经成为企业进行社交媒体营销所面临的重要问题。在社交媒体情境下,小程序具有哪些特征、这些特征是否以及如何影响用户的持续使用意愿,并未得到理论界的足够重视。本研究从轻量化视角深入分析,基于信息系统成功模型与情绪理论构建了小程序轻量化特征影响用户持续使用意愿的理论模型。研究表明：信息-任务匹配、系统易用性以及服务响应性正向影响用户持续使用意愿;信息-任务匹配、服务响应性分别对用户积极情绪和流体验有促进作用,系统易用性正向影响用户流体验而对积极情绪的影响不显著;积极情绪分别在信息-任务匹配、服务响应性与用户持续使用意愿之间起到完全中介作用,流体验则完全中介了小程序轻量化特征与持续使用意愿之间的关系。研究构筑了“轻量化特征-情绪反应-行为意愿”完整的传导机制与影响路径,拓展了轻量应用持续使用、社交媒体用户情绪成因相关研究,结论对企业借助轻量应用进行社交媒体营销具有借鉴意义。 相似文献
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[目的/意义]旨在探索虚拟社区用户集体意愿研究.[方法/过程]结合在线问答社区特点,采用结构方程模型,先后利用SPSS 23.0和AMOS 21.0进行数据分析并进行模型验证.[结果/结论]研究认为,虚拟社区感、社会资本均对在线问答社区用户集体意愿产生正向影响;在线互动、线下互动除了直接对在线问答社区用户集体意愿产生正... 相似文献
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[目的/意义]信息技术的持续使用是衡量其成功的重要标志，探究用户持续使用意愿的影响因素是解决微信小程序用户流失的先决条件。[方法/过程]本文基于技术接受模型和期望确认模型，构建了微信小程序用户持续使用意愿模型，采用参考经典量表和深度访谈相结合的方式，提出研究假设、确定调查问卷并进行数据收集，通过实证分析确认微信小程序用户持续使用意愿的影响因素。[结果/结论]研究发现微信小程序持续使用意愿影响机制如下：1）用户的期望确认程度对感知易用性、感知有用性和感知娱乐性均有显著正向影响；2）用户的满意度是影响持续使用意愿的重要因素；3）用户的使用习惯对持续使用意愿没有预期的正向影响。研究结果有一定的理论意义和现实意义。 相似文献
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While mobile health applications (mHealth apps) have attracted considerable practical and research attention in recent years, very few information systems (IS) studies have ever investigated patients’ use of mHealth apps. We draw insights from attachment theory, which states that when individuals experience fatigue or stress, they tend to develop affectionate bonds with objects that attend to their needs. Our study provides an evolutionary view on how patients’ attaining satisfaction of their basic needs through using mHealth apps leads to their emotional bonding with the mHealth apps and consequently contributes to their overall well-being. We surveyed 113 patients who used an mHealth app for hospitalization and discharge advice and education. We found that (a) patients’ emotional bonding with the apps mediated the impacts of autonomy and relatedness needs satisfaction on their well-being in terms of enhanced IT-enabled self-esteem and reduced post-surgery physical symptoms; and (b) autonomy need satisfaction positively and negatively moderated the impacts of competence and relatedness needs satisfaction, respectively, on patients’ emotional bonding with mHealth apps. Our findings not only contribute to the technology use literature and extend the interpretation of attachment theory in the IS field, but also yield practical insights for managers and developers who work in the mHealth industry. 相似文献