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1.
文献传递和馆际互借服务经过近十年的发展,已经成为高校用户获取文献的必备服务。用户对这项服务是否满意？我们满足用户的需求了吗？用户的阅读习惯如何？本文拟通过用户调查,了解用户需求,分析用户行为习惯,改进服务。 相似文献
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Individuals are supposed to perform a privacy risk-benefit analysis when deciding to transact with a free data-driven service provider. Building on equity theory, this article suggests that users incorporate the net value for providers in their trade-off. Based on two pre-studies and an experimental survey study among 200 free data-driven service users, we provide evidence that users’ balance their own net value (benefits minus risks) as well as providers’ net value from monetizing users’ data. This leads to distributive equity perceptions which, in turn, affect users’ satisfaction with the service and thus long-term success of the user-provider-relationship. In this vein, a distributive equity scale for the context of data-driven services is developed. Implications for research, providers and users are discussed. 相似文献
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Many services can be self-provided. An individual user or a user firm can, for example, choose to do its own accounting - choose to self-provide that service - instead of hiring an accounting firm to provide it. Since users can ‘serve themselves’ in many cases, it is reasonable to suspect that they can also innovate with respect to the services they self-provide - possibly without the assistance of service providers.In this paper, we conduct the first quantitative exploration of the importance of services innovation by users, focusing on the field of commercial and retail banking services. We find that 55% of today's computerized commercial banking services were first developed and implemented by non-bank firms for their own use, and 44% of today's computerized retail banking services were first developed and implemented by individual service users rather than by commercial financial service providers. Manual precursors to these services - manual procedures that carried out functions similar to computerized services in our sample - were almost always developed by users as self-services.Our empirical findings differ significantly from prevalent producer-centered views of service development. We speculate that the patterns we have observed in banking with respect to the major role of users in service development will prove to be quite general. If so, this will be an important matter: on the order of 75% of GDP in advanced economies today is derived from services. We discuss the implications of our findings for research and practice in service development. 相似文献
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The past few years have witnessed an explosive popularity of mobile services, especially in the form of smart phone applications. To cope with the limited batteries and computational capacities of mobile devices, prior studies suggest to deploy service instances in clouds for accomplishing most of the computation-intensive tasks. Service composition, which compensates for the simplicity of single service, is an effective way to utilize the plentiful services on the clouds all over the world. In this paper, we focus on the problem of service instance selection with service instance replica limitation constraint. The objective is to select the optimal set of service instances, which composes the integrated service and brings out the optimal QoS (quality of service), in terms of service response time. To characterize the problem, we establish a new QoS model, which considers the comprehensive quality over all users, not just for any single user or service instance. We prove that the problem is NP-hard, since many functionally equivalent service instances spread all over the distributed clouds. To address the problem, we classify the problem into three cases, including two special cases and the general case. We present two effective heuristic algorithms to determine the service instances selection for the two special cases, which are still NP-hard. The two special cases provide empirical bounds for the general case. We propose an algorithm that simulates a vote procedure for the users in the general case. The selected service instances, which come from the vote procedure, can satisfy a majority of users. We conduct extensive simulations for all of the algorithms. The simulation results show that our algorithms work efficiently on service response time reduction. 相似文献
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《Information processing & management》2022,59(2):102861
Integrating useful input information is essential to provide efficient recommendations to users. In this work, we focus on improving items ratings prediction by merging both multiple contexts and multiple criteria based research directions which were addressed separately in most existent literature. Throughout this article, Criteria refer to the items attributes, while Context denotes the circumstances in which the user uses an item. Our goal is to capture more fine grained preferences to improve items recommendation quality using users’ multiple criteria ratings under specific contextual situations. Therefore, we examine the recommenders’ data from the graph theory based perspective by representing three types of entities (users, contextual situations and criteria) as well as their relationships as a tripartite graph. Upon the assumption that contextually similar users tend to have similar interests for similar item criteria, we perform a high-order co-clustering on the tripartite graph for simultaneously partitioning the graph entities representing users in similar contextual situations and their evaluated item criteria. To predict cluster-based multi-criteria ratings, we introduce an improved rating prediction method that considers the dependency between users and their contextual situations, and also takes into account the correlation between criteria in the prediction process. The predicted multi-criteria ratings are finally aggregated into a single representative output corresponding to an overall item rating. To guide our investigation, we create a research hypothesis to provide insights about the tripartite graph partitioning and design clear and justified preliminary experiments including quantitative and qualitative analyzes to validate it. Further thorough experiments on the two available context-aware multi-criteria datasets, TripAdvisor and Educational, demonstrate that our proposal exhibits substantial improvements over alternative recommendations approaches. 相似文献
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自存储机构知识库是在开放存取的背景下产生的一种以机构为轴心的新型数据库。本文概括了自存储机构知识库的基本特征,分析了自存储机构知识库运行中涉及的信息制造者、传播者和使用者之间的利益关系,在现有的版权法框架下提出了建构以保护作者版权为核心的利益平衡机制的建议。 相似文献
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Socially similar social media users can be defined as users whose frequently visited locations in their social media histories are similar. Discovering socially similar social media users is important for several applications, such as, community detection, friendship analysis, location recommendation, urban planning, and anomaly user and behavior detection. Discovering socially similar users is challenging due to dataset size and dimensions, spam behaviors of social media users, spatial and temporal aspects of social media datasets, and location sparseness in social media datasets. In the literature, several studies are conducted to discover similar social media users out of social media datasets using spatial and temporal information. However, most of these studies rely on trajectory pattern mining methods or take into account semantic information of social media datasets. Limited number of studies focus on discovering similar users based on their social media location histories. In this study, to discover socially similar users, frequently visited or socially important locations of social media users are taken into account instead of all locations that users visited. A new interest measure, which is based on Levenshtein distance, was proposed to quantify user similarity based on their socially important locations and two algorithms were developed using the proposed method and interest measure. The algorithms were experimentally evaluated on a real-life Twitter dataset. The results show that the proposed algorithms could successfully discover similar social media users based on their socially important locations. 相似文献
8.
Maria Taramigkou Dimitris Apostolou Gregoris Mentzas 《Information processing & management》2018,54(4):609-629
Exploratory search is a type of information seeking used by searchers who are either unfamiliar with the domain of their goal, are unsure about the ways to achieve their goals or uncertain about their goals in the first place. We present a method that utilizes interactional context and personality information in order to proactively prompt users to undertake actions for improving exploratory search and its outcome. Our approach is based on inferring exploration patterns based on the logged past behavior of users in order to produce models of behavior, which in turn are used to predict the next action in the current context. The user is classified into specific groups of users that share personality traits for which we have analyzed their search behaviors. At the same time, we assume that the users who belong within the same group show similar exploration tactics to reach their goal such as the sequence of actions performed. Having the models, we show how we can predict the next interaction of the user given a specific sequence of actions of the current session. In this way, we assist users in their exploration process and act proactively by providing meaningful recommendations and prompts towards possibly undiscovered facets of the topic under investigation. 相似文献
9.
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
10.
A novel recommendation method based on social network using matrix factorization technique 总被引：1，自引：1，他引：0
Chonghuan Xu 《Information processing & management》2018,54(3):463-474
The rapid development of information technology and the fast growth of Internet have facilitated an explosion of information which has accentuated the information overload problem. Recommender systems have emerged in response to this problem and helped users to find their interesting contents. With increasingly complicated social context, how to fulfill personalized needs better has become a new trend in personalized recommendation service studies. In order to alleviate the sparsity problem of recommender systems meanwhile increase their accuracy and diversity in complex contexts, we propose a novel recommendation method based on social network using matrix factorization technique. In this method, we cluster users and consider a variety of complex factors. The simulation results on two benchmark data sets and a real data set show that our method achieves superior performance to existing methods. 相似文献
11.
本文从资源能力视角解释用户驱动制造业企业服务创新的过程逻辑,基于动态资源基础观和价值共创理论分析互动导向、战略柔性对服务创新绩效的影响。使用Amos 240对319家样本企业的调查数据进行实证检验。研究发现：（1）战略柔性在互动响应能力、顾客授权、顾客价值管理与服务创新绩效之间起部分中介作用,在顾客理念与服务创新绩效之间的中介作用不显著。（2）售后服务情景下资源柔性对互动导向与服务创新绩效的中介作用高于协调柔性,相反,增值服务情景下协调柔性的中介作用更显著。研究在还原互动导向多维度构念的基础上,发现制造业企业服务创新需打破组织边界引入用户参与价值共创,依据资源柔性与协调柔性的演化水平为用户提供创新性服务。 相似文献
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在科技服务机构和科技服务大量增长以及用户需求日趋复杂化和链式化的背景下,向用户推荐满足其个性化要求的科技服务链成为亟需解决的问题.首先构建考虑服务特有属性的科技服务推荐模型,在NSGA-Ⅱ算法中引入去重操作以消除由于候选服务数量限制产生的重复服务链,提高算法的多样性和收敛性,并使用该算法对模型进行求解,得到一组Pareto最优服务链集.然后通过科技服务链评估函数对服务链进行排序,将最优综合科技服务链推荐给用户.实验结果表明改进的NSGA-Ⅱ算法求解出的满足服务需求方要求的解的数量和准确性均优于NSGA-Ⅱ算法. 相似文献
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分析区块链信息服务监管中参与主体的决策行为,有助于寻找区块链创新与监管间的平衡点。基于有限理性演化博弈理论,建立区块链信息服务监管三方演化博弈模型;通过对政府部门、信息服务提供者与使用者博弈策略演化稳定性的分析,并置入计算实验方法"情景--应对"思想进行数值模拟与仿真计算。实验结果表明,在政府部门严格监管情景下,通过"命令--控制"机制以规避信息服务违规风险,往往会因为程度难以把控而阻碍区块链创新发展,而建立信息服务供求双方"损失--赔偿"动态调试性监管规制,能提升信息服务的使用效率。 相似文献
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移动应用程序APP是移动互联网时代企业创造价值的重要渠道。尽管APP市场具有巨大的商业价值，但也出现了不少绩效较低的现象：互联网创业夭折、成交转化率低下、APP卸载率较高等等。研究APP的绩效问题有助于发现影响APP绩效的关键因素，帮助企业找到提高APP绩效的新方法。本文从服务主导逻辑出发，识别出了影响APP绩效的两大关键策略--用户赋能和服务创新，论述了这两大策略对APP收入绩效的影响机理。本文使用自然观察法跟踪和分析中国（N=200）和美国（N=206）两个样本中的APP个体，发现两个样本产生出来的结果较为一致：APP若选择赋予用户更多的权力，让用户主导平台的价值创造活动，那么它的收入绩效往往比较好；企业如果较为注重服务创新，持续地为APP开发出新特征或新服务，APP的收入绩效一般较好。本研究也可以给APP企业带来实践上的启示：首先，企业应分析APP的定位和作用；其次，企业应重视用户在价值创造中的重要作用，还要意识到用户不仅仅是APP的接受者和使用者，还是生产者和价值创造者；再次，企业应按照APP的定位，再决定是否将价值创造的主导权赋予广大用户；最后，企业应当重视APP的服务创新，持续地推出新功能和新特征，为用户提供更加便捷、易用的服务。 相似文献
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以新浪微博为背景,本文在界定企业微博质量的定义及其构成维度的基础上,提出了企业微博质量的测量指标,构建了企业微博质量影响用户行为意向的概念模型。通过应用SmartPLS2.0对337份有效问卷进行分析,对模型进行了验证。研究结果表明,企业微博质量可以划分为信息质量和交互质量两个维度,它们通过用户满意和信任这两个中间变量正向影响用户行为意向。最后,本文对改善企业微博质量,企业有效利用微博培养用户粘性提出了一些建议。 相似文献
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Prior literature suggests that social media users are increasingly experiencing social media fatigue. Only recently have scholars undertaken empirical studies to investigate its antecedents and outcomes to better understand the impact of fatigue on social media users. To further this understanding, the present study has conducted a cross-sectional survey with 1552 users. The Stress-Strain-Outcome (SSO) theoretical framework is applied to examine if privacy concerns, self-disclosure, parental mediation strategies, and decrement in academic performance due to social media use correlate with social media fatigue. Two forms of fatigue are considered, namely, fatigue due to social networking site (SNS) and mobile instant messaging (MIM) use. The study results suggest that privacy concerns, self-disclosure, parental encouragement and worry significantly and positively correlate with SNS and MIM fatigue. Parental permission and parental monitoring are either not or lowly associated with fatigue. In addition to this, SNS and MIM fatigue positively correlated with the tendency to experience academic decrement due to social media use. The antecedents and consequences of social media fatigue were similar for SNS and MIM users. Moreover, students perceived their parents to be more open to their MIM use, and they had higher self-disclosure in MIM than in SNS. The study concludes with significant implications for practitioners, policy makers as well as service designers. 相似文献
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[目的/意义]文章提出一种从海量非结构化评论数据中聚合用户对学术APP服务需求的思路与方法,为平台的开发者及运营者高效挖掘并分析用户需求提供指导。[方法/过程]以学术APP用户评论为研究对象,在Word2vec词向量表达的基础上,提出一种基于Canopy-Kmeans和MMR的服务需求聚合方法。并以丁香园APP用户评论为样本,利用Python 3. 7与Matlab R2016a完成实验过程。[结果/结论]实验结果表明文章提出的技术方法能够有效识别并聚合学术APP的服务需求,为大数据环境下从数据层面挖掘用户需求提供参考借鉴。 相似文献
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《International Journal of Information Management》2014,34(4):465-473
With the advancement of mobile technologies, numerous web service providers have begun to extend their web services to the mobile context. To understand users’ mobile service adoption behaviour in the context of the web–mobile service transition, this study investigates the role of consistency between web and mobile services by proposing a typology of consistency and examining the extent to which and the boundary conditions under which consistency works. Specifically, consistency is classified into behavioural consistency (e.g., operational consistency) and object-based consistency, which includes consistency in information, system and service in terms of the information systems success model. We also contend the mediating effect of operational consistency and the interaction effect of trust in web services and operational consistency. A field survey with 235 mobile service users confirms our mediating and moderating hypotheses. The implications for theory and practice are also discussed. 相似文献
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《Information processing & management》2023,60(5):103464
Existing approaches to learning path recommendation for online learning communities mainly rely on the individual characteristics of users or the historical records of their learning processes, but pay less attention to the semantics of users’ postings and the context. To facilitate the knowledge understanding and personalized learning of users in online learning communities, it is necessary to conduct a fine-grained analysis of user data to capture their dynamical learning characteristics and potential knowledge levels, so as to recommend appropriate learning paths. In this paper, we propose a fine-grained and multi-context-aware learning path recommendation model for online learning communities based on a knowledge graph. First, we design a multidimensional knowledge graph to solve the problem of monotonous and incomplete entity information presentation of the single layer knowledge graph. Second, we use the topic preference features of users’ postings to determine the starting point of learning paths. We then strengthen the distant relationship of knowledge in the global context using the multidimensional knowledge graph when generating and recommending learning paths. Finally, we build a user background similarity matrix to establish user connections in the local context to recommend users with similar knowledge levels and learning preferences and synchronize their subsequent postings. Experiment results show that the proposed model can recommend appropriate learning paths for users, and the recommended similar users and postings are effective. 相似文献