共查询到20条相似文献，搜索用时 187 毫秒
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张晓虹 《内蒙古科技与经济》2012,(20):137-138
阐述了高校图书馆开展个性化服务的重要性,通过对高校图书馆开展个性化服务存在的问题的分析,提出开展高校图书馆个性化服务的必要措施。 相似文献
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高校图书馆开展知识服务的动力机制是指推动高校图书馆开展知识服务的各种力量或因素的构成及其相互联系、相互作用的方式和原理。通过分析高校图书馆开展知识服务的推力机制、压力机制、引力机制,探讨了高校图书馆开展知识服务的动力机制。 相似文献
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高校图书馆信息无障碍服务研究 总被引：2，自引：0，他引：2
阐述了在高校图书馆开展信息无障碍服务的必要性和可行性,并采用网站调查法对国内外高校图书馆开展信息无障碍服务现状进行了调查,最后对国内高校图书馆开展信息无障碍服务提出了几点建议。 相似文献
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来云 《内蒙古科技与经济》2013,(16):156-157
高校图书馆在开展对广西北部湾经济区建设中,充分发挥高校图书馆的优势,走创新服务模式之路。文章以广西钦州学院图书馆为例,探讨了高校图书馆服务北部湾经济建设的意义和实施高校图书馆服务北部湾经济建设的可行性,并提出从4个方面开展创新服务模式的建议。 相似文献
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教师读者是高校图书馆读者服务的主要对象之一。文章针对这一读者群的特点以及图书馆对其开展服务过程中存在的问题,提出解决措施,以促进高校图书馆更好地开展读者服务工作。 相似文献
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吴伟红 《内蒙古科技与经济》2011,(12):118-119
介绍了高校图书馆知识服务开展的情况,以浙江农林大学图书馆为例探讨当前高校图书馆知识服务的现状,并对知识服务的继续开展提出相关的建议。 相似文献
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龚主杰 《内蒙古科技与经济》2008,(23)
通过对国内105家“211工程”高校图书馆开展学科馆员服务情况进行统计分析,了解国内高校图书馆界开展学科馆员服务的基本情况。同时,文章提出了一些关于国内高校图书馆应该如何开展学科馆员服务的建议。 相似文献
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Big data analytics (BDA) adoption is a game-changer in the current industrial environment for precision decision-making and optimal performance. Nonetheless, the determinants or consequences of its adoption in small and medium enterprises remain unclear, hence the objective of this study. Data analysis of 171 Iranian small and medium manufacturing firms revealed that complexity, uncertainty and insecurity, trialability, observability, top management support, organizational readiness, and external support affect significantly on BDA adoption. The findings confirm the strong impact of BDA adoption in small to medium-sized enterprises, marketing and financial, performance enhancement. Understanding the drivers of BDA adoption helps managers to employ appropriate initiatives that are vital for effective implementation. The results enable BDA service providers to attract and diffuse BDA in small to medium-sized enterprises. 相似文献
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A longitudinal study of the actual value of big data and analytics: The role of industry environment
Despite the popularity of big data and analytics (BDA) in industry, research regarding the economic value of BDA is still at an early stage. Little attention has been paid to quantifying the longitudinal impact of organizational BDA implementation on firm performance. Grounded in organizational learning theory, this study empirically demonstrates the impact of BDA implementation on organizational performance and how industry environment characteristics moderate the BDA-performance relationships. Using secondary data regarding BDA implementation from 2010 to February 2020, we find that BDA implementation has a significant impact on two types of business value creation: operational efficiency and business growth. Furthermore, the impact of BDA on operational efficiency is amplified in less dynamic and complex environments, while the BDA-business growth relationship is more pronounced in more dynamic, complex, and munificent environments. Collectively, this study provides a theory-centric understanding of BDA’s economic benefits. The findings offer insights to firms about what actual benefits BDA implementation may generate and how firms may align the use of BDA with the industry environments they are operating in. 相似文献
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本文首先介绍了BDA电于息产业集群发展的特点,然后分析跨国公司对BDA电子信息产业集群形成的作用机制,最后提出借助跨国公司促使BDA电子信息产业集群升级的相应逻辑及路径。 相似文献
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Big Data Analytics (BDA) is increasingly becoming a trending practice that generates an enormous amount of data and provides a new opportunity that is helpful in relevant decision-making. The developments in Big Data Analytics provide a new paradigm and solutions for big data sources, storage, and advanced analytics. The BDA provide a nuanced view of big data development, and insights on how it can truly create value for firm and customer. This article presents a comprehensive, well-informed examination, and realistic analysis of deploying big data analytics successfully in companies. It provides an overview of the architecture of BDA including six components, namely: (i) data generation, (ii) data acquisition, (iii) data storage, (iv) advanced data analytics, (v) data visualization, and (vi) decision-making for value-creation. In this paper, seven V's characteristics of BDA namely Volume, Velocity, Variety, Valence, Veracity, Variability, and Value are explored. The various big data analytics tools, techniques and technologies have been described. Furthermore, it presents a methodical analysis for the usage of Big Data Analytics in various applications such as agriculture, healthcare, cyber security, and smart city. This paper also highlights the previous research, challenges, current status, and future directions of big data analytics for various application platforms. This overview highlights three issues, namely (i) concepts, characteristics and processing paradigms of Big Data Analytics; (ii) the state-of-the-art framework for decision-making in BDA for companies to insight value-creation; and (iii) the current challenges of Big Data Analytics as well as possible future directions. 相似文献
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Understanding how the application of big data analytics (BDA) generates business value is a persistent challenge in information systems (IS) research. Improving understanding of how BDA realizes business value requires unpacking theories to study the phenomenon. This study unpacks the task-technology fit (TTF) theory toward generating new and improved insights into the business value of BDA. Extant studies on TTF have mainly focused on traditional IT which is different from digital technologies like BDA that are malleable and dynamic. While TTF has primarily focused on how the technology meets task requirements, this study contends that tasks can also be structured to fit the functionality of technology. This study proposes a 2 × 2 matrix framework to explain how BDA and tasks interact. The framework indicates how the reconfigurability of tasks and the editability of BDA impact the fit between tasks and BDA. Future research should explore how the fit between tasks and BDA changes over time. 相似文献
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针对北京经济技术开发区(Beijing Economic-Technology Development Area,BDA)企业的合作竞争网络进行实证研究,建立BDA企业合作竞争网络模型,结合UCINET网络分析软件,描绘BDA企业合作竞争网络结构图。根据BDA的发展特征,将企业主要分为四个行业:微电子行业、生物医药行业、汽车行业和装备制造业,清晰地描述了BDA企业合作竞争网络关系并且揭示了网络结构特征。研究也显示,这四大行业形成了具有中心节点的网络,并且网络的信息沟通比较顺畅,有利于企业之间的合作与竞争。该模型也有助于优化区域行业分布和资源分配,给管理决策提供研究支持。 相似文献
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While the use of big data tends to add value for business throughout the entire value chain, the integration of big data analytics (BDA) to the decision-making process remains a challenge. This study, based on a systematic literature review, thematic analysis and qualitative interview findings, proposes a set of six-steps to establish both rigor and relevance in the process of analytics-driven decision-making. Our findings illuminate the key steps in this decision process including problem definition, review of past findings, model development, data collection, data analysis as well as actions on insights in the context of service systems. Although findings have been discussed in a sequence of steps, the study identifies them as interdependent and iterative. The proposed six-step analytics-driven decision-making process, practical evidence from service systems, and future research agenda, provide altogether the foundation for future scholarly research and can serve as a step-wise guide for industry practitioners. 相似文献
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This study investigates how Big Data Analytics (BDA) can be leveraged to support a city’s transformation into a smart destination. We conduct an in-depth case study of a city-in-transformation and adopt the perspective of technology affordances to uncover the varying opportunities enabled by BDA to facilitate the attainment of smart tourism goals. Our findings unveil three types of BDA affordances and demonstrate how these affordances are actualized in a cascading manner to enable informed decisions and a sustainable development of smart tourism. Implications are presented for future investigation of the affordances of BDA in smart tourism, as well as for policy makers and practitioners who engage in the development of innovative tourism services for the smart citizens. 相似文献
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Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes
We introduce Big Data Analytics (BDA) and Sentiment Analysis (SA) to the study of international negotiations, through an application to the case of the UK-EU Brexit negotiations and the use of Twitter user sentiment. We show that SA of tweets has potential as a real-time barometer of public sentiment towards negotiating outcomes to inform government decision-making. Despite the increasing need for information on collective preferences regarding possible negotiating outcomes, negotiators have been slow to capitalise on BDA. Through SA on a corpus of 13,018,367 tweets on defined Brexit hashtags, we illustrate how SA can provide a platform for decision-makers engaged in international negotiations to grasp collective preferences. We show that BDA and SA can enhance decision-making and strategy in public policy and negotiation contexts of the magnitude of Brexit. Our findings indicate that the preferred or least preferred Brexit outcomes could have been inferred by the emotions expressed by Twitter users. We argue that BDA can be a mechanism to map the different options available to decision-makers and bring insights to and inform their decision-making. Our work, thereby, proposes SA as part of the international negotiation toolbox to remedy for the existing informational gap between decision makers and citizens’ preferred outcomes. 相似文献
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Although organizational factors related to big data analytics (BDA) and its performance have been studied extensively, the number of failed BDA projects continues to rise. The quality of BDA information is a commonly cited factor in explanations for such failures and could prove key to improving project performance. Using the resource-based view (RBV) lens, data analytics literature, business strategy control, and an empirical setup of two studies based on marketing and information technology managerial data, we draw on the dimensions of the balanced scorecard (BSC) as an integrating framework of BDA organizational factors. Specifically, we tested a model –from two different perspectives– that would explain information quality through analytical talent and organizations' data plan alignment. Results showed that both managers have a different understanding of what information quality is. The characteristics that make marketing a better informer of information quality are identified. In addition, hybrid (embedded) type analyst placements are seen to achieve better performance. Moreover, we add greater theoretical rigour by incorporating the moderating effect of the use of big data analytics in companies. Finally, the BSC provided a greater causal understanding of the resources and capabilities within a data strategy. 相似文献