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The digital transformation of intelligence analysis
Ashwell, Mark Lawrence - In: Journal of Financial Crime 24 (2017) 3, pp. 393-411
Purpose The purpose of this paper is to highlight the potential of digital transformation and innovation opportunities … processes. It offers an appreciation of the nature of organisations, and the role of innovation within those organisation …
Persistent link: https://www.econbiz.de/10014866176
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One decade of big data for firms' competitiveness: insights and a conceptual model from bibliometrics
Tchuente, Dieudonné; El Haddadi, Anass - In: Journal of Enterprise Information Management 36 (2023) 6, pp. 1421-1453
COVID-19 and the improvement of connection between firms' competitiveness and innovation practices in a big data context …
Persistent link: https://www.econbiz.de/10014860101
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Identifying the factors determining cooperative innovation effect in emerging economies
Xie, Xuemei; Zeng, Saixing; Zang, Zhipeng; Zou, Hailiang - In: Chinese Management Studies 11 (2017) 3, pp. 366-386
Purpose The purpose of this study is to identify the factors determining collaborative innovation effect of … using structural equation modelling, this study explores the factors determining the effect of collaborative innovation …) and examines the relationship between collaborative innovation effect and innovation performance. Findings The study finds …
Persistent link: https://www.econbiz.de/10014697638
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The impact of entrepreneurial leadership on innovation management and its measurement validation
Fontana, Avanti; Musa, Soebowo - In: International Journal of Innovation Science 9 (2017) 1, pp. 2-19
Purpose This paper aims to validate the measurement of entrepreneurial leadership (EL) in the context of innovation … management and strategic entrepreneurship, and to examine the relationship between EL and the innovation process (IP). It … the IP would have direct impact on innovation performance. Design/methodology/approach The paper opted for an explanatory …
Persistent link: https://www.econbiz.de/10014779631
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Disease Surveillance System for Big Climate Data Processing and Dengue Transmission
Manogaran, Gunasekaran; Lopez, Daphne - In: International Journal of Ambient Computing and … 8 (2017) 2, pp. 88-105
Ambient intelligence is an emerging platform that provides advances in sensors and sensor networks, pervasive computing, and artificial intelligence to capture the real time climate data. This result continuously generates several exabytes of unstructured sensor data and so it is often called...
Persistent link: https://www.econbiz.de/10012042655
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Concoction of Ambient Intelligence and Big Data for Better Patient Ministration Services
Bhatnagar, Vishal; Jain, Arushi - In: International Journal of Ambient Computing and … 8 (2017) 4, pp. 19-30
The term Ambient Intelligence (AmI) encompasses other technologies such as ubiquitous communication, pervasive computing and ubiquitous computing. Hospitals can improve their working by monitoring the health of the patients and performing automatic analysis of various and health parameters...
Persistent link: https://www.econbiz.de/10012042662
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Towards a New Model of Storage and Access to Data in Big Data and Cloud Computing
Matallah, Houcine; Belalem, Ghalem; Bouamrane, Karim - In: International Journal of Ambient Computing and … 8 (2017) 4, pp. 31-44
The technological revolution integrating multiple information sources and extension of computer science in different sectors led to the explosion of the data quantities, which reflects the scaling of vo-lumes, numbers and types. These massive increases have resulted in the development of new...
Persistent link: https://www.econbiz.de/10012042663
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An Optimal Data Placement Strategy for Improving System Performance of Massive Data Applications Using Graph Clustering
Balasundaram, S. R.; Vengadeswaran, S. - In: International Journal of Ambient Computing and … 9 (2018) 3, pp. 15-30
This article describes how the time taken to execute a query and return the results, increase exponentially as the data size increases, leading to more waiting times of the user. Hadoop with its distributed processing capability is considered as an efficient solution for processing such large...
Persistent link: https://www.econbiz.de/10012042679
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On the Effectiveness of Hybrid Canopy with Hoeffding Adaptive Naive Bayes Trees: Distributed Data Mining for Big Data Analytics
Panda, Mrutyunjaya - In: International Journal of Applied Evolutionary … 8 (2017) 2, pp. 30-43
The Big Data, due to its complicated and diverse nature, poses a lot of challenges for extracting meaningful observations. This sought smart and efficient algorithms that can deal with computational complexity along with memory constraints out of their iterative behavior. This issue may be...
Persistent link: https://www.econbiz.de/10012042713
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Big Data in the Field of Civil Security Research: Approaches for the Visual Preprocessing of Fire Brigade Operations
Gonschorek, Julia; Langer, Anja; Bernhardt, Benjamin; … - In: International Journal of Agricultural and Environmental … 7 (2016) 1, pp. 54-64
This article gives insight in a running dissertation at the University in Potsdam. Point of discussion is the spatial and temporal distribution of emergencies of German fire brigades that have not sufficiently been scientifically examined. The challenge is seen in Big Data: enormous amounts of...
Persistent link: https://www.econbiz.de/10012042748