Real-time analytics,incident response process agility and enterprise cybersecurity performance: A contingent resource-based analysis     

《International Journal of Information Management》2021

Emerging paradigms of attack challenge enterprise cybersecurity with sophisticated custom-built tools, unpredictable patterns of exploitation, and an increasing ability to adapt to cyber defenses. As a result, organizations continue to experience incidents and suffer losses. The responsibility to respond to cybersecurity incidents lies with the incident response (IR) function. We argue that (1) organizations must develop ‘agility’ in their IR process to respond swiftly and efficiently to sophisticated and potent cyber threats, and (2) Real-time analytics (RTA) gives organizations a unique opportunity to drive their IR process in an agile manner by detecting cybersecurity incidents quickly and responding to them proactively. To better understand how organizations can use RTA to enable IR agility, we analyzed in-depth data from twenty expert interviews using a contingent resource-based view. The results informed a framework explaining how organizations enable agile characteristics (swiftness, flexibility, and innovation) in the IR process using the key features of the RTA capability (complex event processing, decision automation, and on-demand and continuous data analysis) to detect and respond to cybersecurity incidents as-they-occur which, in turn, improves their overall enterprise cybersecurity performance.  相似文献   

Analytical attractions and the techno-continuum: Conceptualising data obsessions and consequences in elite sport     

Geoffery Z. Kohe  Laura G. Purdy 《Sport, Education and Society》2019,24(7):742-755

The proliferation of sports science and technological innovation within performance settings has precipitated the generation of increasing volumes of data to aid athletes. Copious data production has also perpetuated the privileging of scientific information, and a ‘thirst’ for ‘more data’ as an unproblematic ‘truth’. Of significance is not merely the use of technology for the production of data-for-data's sake, or the utility of data for a greater cause (e.g. the good of the team), but the quest for personalised data for individual athletes to be analysed, and reflected upon ad nauseam. Furthering scholarship on disciplining bodies, we argue that increased technological consumption, and the related excessive quantification of athletes’ bodies via data production, adds further insecurity into performance sports work. Finally, attention is given to the cultural step-change new techno-dispositions may now present.  相似文献   

The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance     

《International Journal of Information Management》2020

Firms are increasingly relying on business insights obtained by deploying data analytics. Analytics-driven business decisions have thus taken a strategic imperative role for the competitive advantage of a firm to endure. The extent and effectiveness through which business firms can actually derive benefits by deploying big data-based practices requires deep analysis and calls for extensive research. This study extends the big data analytics capability (BDAC) model by examining the mediatory effects of organizational culture (CL) between internal analytical knowledge (KN) and BDAC, as well as the mediating effects of BDAC between CL and firm performance. The findings bring into focus that CL plays the role of complementary mediation between BDAC and KN to positively impact firm performance (FP); BDAC also plays a similar mediatory role between CL and the performance of a firm.  相似文献   

An extension of the technology acceptance model in the big data analytics system implementation environment     

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   

Using log variables in a learning management system to evaluate learning activity using the lens of activity theory     

Yeonjeong Park 《Assessment & Evaluation in Higher Education》2017,42(4):531-547

As the advance of learning technologies and analytics tools continues, learning management systems (LMSs) have been required to fulfil the growing expectations for smart learning. However, the reality regarding the level of technology integration in higher education differs considerably from such expectations or the speed of advances in educational technologies. This research aimed to evaluate the current activation levels and usage patterns of a LMS. A large data-set was analysed, which included the online activity information from 7940 courses. Through data pre-processing, general indicators reflecting login frequencies of the virtual campus and activity-based indicators presenting the activation patterns of diverse functions provided by Moodle were derived. Activity theory was applied to interpret the results of analysis, since it has been recognised as a powerful framework to understand phenomena encompassing interactive systems. Further, time-series investigation over three consecutive semesters allowed observation of historical changes. The results revealed considerably low use of the virtual campus with only slight changes, as well as significantly different activity patterns across course attributes and colleges. Contradictions among components in the activity system are discussed, along with the implications for improving teaching and learning with LMS in higher education.  相似文献   

WebIntera-classroom: an interaction-aware virtual learning environment for augmenting learning interactions     

Jingjing Chen  Jianliang Xu  Tao Tang  Rongchao Chen 《Interactive Learning Environments》2017,25(6):792-807

Interaction is critical for successful teaching and learning in a virtual learning environment (VLE). This paper presents a web-based interaction-aware VLE – WebIntera-classroom – which aims to augment learning interactions by increasing the learner-to-content and learner-to-instructor interactions. We design a ubiquitous interactive interface that integrates a pen-and-paper interface with a web-based whiteboard to promote effective learner-to-content interactions. We develop a learning analytics tool that instantly shows learners’ learning interactions, with which instructors can supervise learner-to-instructor interactions. We implement a high-granularity Learning Analytics Engine (hgLAE) to broadcast, record and play a lecture recording. The hgLAE identifies hotspots in a lecture recording and raises students’ awareness of the hotspots when they watch the recording. WebIntera-classroom has been deployed in 11 universities in China. The system obtained high satisfaction in the questionnaires (N?=?464) and face-to-face interviews (N?=?60) conducted with the users from China Jiliang University. We compared the students’ performance, respectively, achieved in traditional classroom and in WebIntera-classroom at China Jiliang University during 2012–2013. The result demonstrates that the students could gain performance improvement by using WebIntera-classroom.  相似文献   

《先进电池与材料》课程双语教学的实践与探索     

梁风 《教育教学论坛》2019,(13):142-143

《先进电池与材料》是一门主要讲授各类先进电池的基本概念、工作原理、器件组成、器件对材料的基本要求、关键材料的制备及其未来发展趋势的综合课程。在本文中,笔者结合自己为研究生讲授《先进电池与材料》双语课程的实际经验,从课程的设置、教材的选择、教学方法的改进等方面进行了系统阐述,以期为双语教学的改革提供借鉴。  相似文献   

对高等教育“大众化“的哲学反思 ——论“精英教育“的公正和平等     

杨德齐 《承德师专学报》2003,23(1):62-65

近几年来,人们要求"高等教育大众化"的呼声越来越高,由此提出了关于"高等教育为谁服务"的问题.本文从高等教育作为"高深学问"的本质、从经济基础和上层建筑的关系、从人权的平等等几个角度,对这种高等教育"英才"模式的合理性进行哲学论证并认为目前"高等教育"概念模糊是阻碍更高层次教育普及的原因之一.  相似文献   

俄罗斯科技英才选拔模式研究:形成、实践与特色——以莫斯科大学专业教学科研中心为例     

杨岚 《中国特殊教育》2021,(2)

英才是创新人才中最具创新能力的群体。科学有效的英才选拔是实施英才教育与提升我国自主创新能力的前提。尽管我国在创新人才选拔方面已有长期探索,但这一群体的选拔和培养仍有待完善。俄罗斯是世界上建立英才教育体系的先驱之一,其顶尖高校对创新人才的选拔以附属于高校的专业教学科研中心为基础。专业教学科研中心在半个多世纪的英才选拔实践中形成了诸多特色做法:与顶尖大学和国家科学院协调联动,重视考察和培养学生志趣,强调扎实的基础知识与创新能力,建立完善的管理与运行机制。  相似文献   

浅谈Github开发平台在“高级程序语言”课程设计中的应用     

谢杰华 《教育教学论坛》2021,(9):115-118

为了适应信息技术的发展,以培养人才为目的的各高校开设了种类繁多的计算机类课程。其中"高级程序语言"作为计算机实践类课程,旨在巩固学生所学知识,培养学生的动手实践能力。分析了"高级程序语言"课程设计的传统模式中所存在的缺陷,提出了将软件项目托管平台Github应用于该课程的设想,并通过实例简单描述了Github在高级程序语言课程设计中的应用,同时分析了该新模式的优点。  相似文献