共查询到13条相似文献，搜索用时 31 毫秒
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Web服务是网络环境下的一种新型构件,本文综述了语义web服务领域利用本体技术进行描述和检索的现状。 相似文献
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信息化建设的推动必然会带来信息资源整合问题，信息资源整合的代价随着信息化实体的规模呈几何级增加，如何寻求一条较为经济简单有效的方式，是本文需要探讨的问题。 相似文献
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为进一步提高系统的信息处理能力,提出一种基于Web services的分布式信息检索机制,通过研究调度、索引、负载、分配服务器、结果集的汇总排序等关键问题,实现分布式信息检索的研究,具有更高的跨平台性和较好的通用性。 相似文献
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《International Journal of Information Management》2016,36(3):297-308
General consumer and business finance companies have had limited success in serving the needs of economically active low-income families and micro-enterprises cost-effectively and sustainably in emerging economies such as China. Recent advances in computing and telecommunications technology are dramatically transforming this landscape by changing the way the financial industry operates. A key mechanism underlying this transformation concerns the use of big data in assessing, evaluating and refining the creditworthiness of potential borrowers and reducing the transaction costs. While China’s internet-only banking industry is currently small and some activities of players in this industry are akin to those in the shadow banking, this industry has potential to cause a major disruption in the Chinese financial market. A main objective of this paper is to examine the role of big data in facilitating the access to financial products for economically active low-income families and micro-enterprises in China. A second objective is to investigate how formal and informal institutions facilitate and constrain the use of big data in the Chinese financial industry and market. The paper also investigates how various inherent characteristics of big data – volume, velocity, variety, variability and complexity – are related to the assessment of the creditworthiness of low-income families and micro-enterprises. Case studies of big data deployment in the Chinese financial industry and market are discussed. The paper also looks at various categories of personal financial and non-financial information that are being used as proxy measures for a potential borrower’s identity, ability to repay and willingness to repay. Various business models involving the sources of data (internal vs. external to the big data organization) and providers of credits (big data organization vs. external partners or clients of the big data organization) are investigated. The analysis of the paper indicates that the main reason why low-income families and micro-enterprises in China and other emerging economies lack access to financial services is not because they lack creditworthiness but merely because banks and financial institutions lack data, information and capabilities to access the creditworthiness of and effectively provide financial services to this financial disadvantaged group. 相似文献
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《Research Policy》2019,48(7):1633-1646
Drawing on data from an original survey of UK and US publicly traded knowledge-intensive business services (KIBS) firms, we investigate what types of KIBS firms collaborate with universities and consider the collaboration important for their innovation. First, we find that science-based KIBS firms (those engaged in a science, technology, and innovation [STI] mode of organizational learning), like science-based manufacturing firms, are active collaborators with universities for innovation. This relationship is further enhanced if these firms also provide highly customized services. Second, in contrast to the existing literature suggesting that firms engaged in a doing, using, and interacting (DUI) mode of organizational learning do not regard collaboration with universities as important for their innovation, we find that KIBS firms engaged in a DUI mode of organizational learning and offering highly customized services are active collaborators with universities for innovation, despite the fact that they may not possess highly formalized scientific knowledge. These findings suggest that KIBS firms co-create knowledge with universities differently than manufacturing firms. Moreover, the findings highlight the wide variety of roles that KIBS firms play in innovation networks with universities. 相似文献
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George Lekakos Pavlos Vlachos Christos Koritos 《Ethics and Information Technology》2014,16(2):103-117
There is an emerging consensus in the corporate social responsibility (CSR) literature suggesting that the quest for the so-called business case for CSR should be abandoned. In the same vein, several researchers have suggested that future research should start examining not whether, but rather when CSR is likely to have strengthened, weakened or even nullified effects on organizational outcomes (e.g. Margolis et al. in Does it pay to be good? A meta-analysis and redirection of research on corporate social and financial performance. Working Paper, Harvard Business School, 2007; Kiron et al. in MIT Sloan Manag Rev 53(2):69–74, 2012). Using perspectives from several theoretical frameworks (Needs Theory, Technology Acceptance Theory, and Psychological Distance Theory), we contribute to the literature by empirically examining the tension between functional and sustainability attributes in a novel context, namely that of green e-banking services. The findings indicate that the positive effect of CSR on users’ attitudes towards green e-banking services is moderated by two primarily utilitarian information systems factors—namely perceived ease of use and perceived usefulness—and an important utilitarian individual difference variable—namely perceived self-efficacy with technology. Our findings are also important if interpreted within the context of the ethical decision-making literature (e.g. O’Fallon and Butterfield in J Bus Ethics 59(4):375–413, 2005), as they indicate that the linkage between moral judgment and moral outcomes is unlikely to be that straightforward. 相似文献
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James Christopher Westland 《The Information Society》2013,29(3):127-138
Abstract Recent interest has been expressed in the potential of information technology to create new kinds of monopolies. This paper looks at production and marketing factors in the information services industry which may increase concentration in the hands of fewer producers, potentially leading to monopoly formation. The research develops an economic model of topic‐specific market concentration and delineates the factors which might cause monopolies to occur in the markets of information data base production firms. The model shows that market concentration rises with inelastic demand, reduced marginal costs and efficient technology, and increased data acquisition costs exacerbated by low rates of data obsolescence. These effects are empirically investigated in the DIALOG group of data bases. The results of the research have implications for corporate information systems and information systems in the public sector. 相似文献
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《International Journal of Information Management》2017,37(5):367-379
The primary aim of this study is to examine the factors that predict end users’ intention to adopt mobile government (m-government) services in a developing country. The research is based upon a self-administered questionnaire survey of 120 current users’ in the United Arab Emirates (UAE), a leader in m-government development in the Arab world. The study employs advanced statistical techniques to test an extended the Technology Acceptance Model (TAM) by incorporating the determinants of trust, cost, social influence, variety of services, perceived usefulness in information technology and demographic profiles. The findings revealed that trust and social influence are positively associated with end users intention to adopt m-government services in the UAE. By identifying the predictors of users’ adoption of m-government, this study provides several theoretical and practical implications related to m-government service adoption. 相似文献
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《Information processing & management》2022,59(2):102869
User-created automation applets to connect IoT devices and applications have become popular and widely available. Exploring those applets enables us to grasp the patterns of how users are utilizing and maximizing the power of connection by themselves, which can deliver practical implications for IoT service design. This study builds an IoT application network with the data of the IFTTT(if this then that) platform which is the most popular platform for self-automation of IoT services. The trigger-action relationships of the IFTTT applets currently activated are collected and used to construct an IoT application network whose nodes are IoT service channels, and links represent their connections. The constructed IoT network is then embedded by the node2vec technique, an algorithmic framework for representational learning of nodes in networks. Clustering the embedded nodes produces the four clusters of IoT usage patterns: Smart Home, Activity Tracking, Information Digest, and Lifelogging & Sharing. We also predict the IoT application network using node2vec-based link prediction with several machine learning classifiers to identify promising connections between IoT applications. Feasible service scenarios are then generated from predicted links between IoT applications. The findings and the proposed approach can offer IoT service providers practical implications for enhancing user experiences and developing new services. 相似文献
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With the proliferation of online content service industry, understanding the factors affecting consumer intention to purchase online content services has become an important issue for academics and practitioners. While previous research has suggested that consumers’ perceived value and moral judgment are two main factors influencing behavioral intention to purchase online content services, few studies have explored what drives perceived value and if customers’ ethical self-efficacy will moderate the effect of perceived value on purchase intention. Thus, based on the value-based adoption model and previous literature, this study explores the antecedents of perceived value and the moderating effect of ethical self-efficacy for online piracy (ESEOP) on the relationship between perceived value and purchase intention in the context of online content services. Data collected from 124 respondents in Taiwan are tested against the research model using the partial least squares (PLS) approach. The results indicate that perceived enjoyment, perceived usefulness, perceived fee, and ESEOP have a significant influence on perceived value and that ESEOP can enhance the positive effect of perceived value on purchase intention. The findings of this study provide several important theoretical and practical implications for consumer online content purchase behaviors. 相似文献
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Toni Carbo Bearman 《The Information Society》2013,29(2):71-75
Abstract Computer science in the United States is hard pressed to show broad utility to help justify billion dollar research programs and the value of educating well over 40,000 bachelor of science and master of science specialists annually in the United States. The Computer Science and Telecommunications Board of the U.S. National Research Council recently has issued a report, “Computing the Future” (Hartmanis &; Lin 1992), which sets a new agenda for computer science. The report recommended that computer scientists broaden their conceptions of the discipline to include computing applications and domains to help understand them. This article argues that many computer science graduates need some skills in analyzing human organizations to help develop appropriate systems requirements, because they are trying to develop high‐performance computing applications that effectively support higher performance human organizations. It is time for academic computer science to embrace organizational analysis (the field of Organizational Informatics) as a key area of research and instruction. 相似文献