Searched for: collection%3Air
(1 - 15 of 15)
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Rehena, Z. (author), Janssen, M.F.W.H.A. (author), Chattopadhya, Samiran (author)
Smart cities have been heralded for improving traffic management by utilizing data for making better traffic management decisions. Multi-sided platforms collect data from sensors and citizen-generated data on one side and can provide input for decision-making using data analytics by governments and the public on the other side. However, there...
journal article 2018
document
Schembera, Björn (author), Duran, J.M. (author)
Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware. We call this dark data, and in this article, we present and discuss it in the context of high-performance computing (HPC) facilities. To this end, we provide statistics of a...
journal article 2019
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Susha, I. (author), Grönlund, Åke (author), Van Tulder, Rob (author)
The volume of data collected by multiple devices, such as mobile phones, sensors, satellites, is growing at an exponential rate. Accessing and aggregating different sources of data, including data outside the public domain, has the potential to provide insights for many societal challenges. This catalyzes new forms of partnerships between...
journal article 2018
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Böhm, J. (author), Bredif, M. (author), Gierlinger, T. (author), Krämer, M. (author), Lindenbergh, R.C. (author), Liu, K. (author), Michel, F. (author), Sirmacek, B. (author)
Current 3D data capturing as implemented on for example airborne or mobile laser scanning systems is able to efficiently sample the surface of a city by billions of unselective points during one working day. What is still difficult is to extract and visualize meaningful information hidden in these point clouds with the same efficiency. This...
journal article 2016
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Fearnhead, Paul (author), Bierkens, G.N.J.C. (author), Pollock, Murray (author), Roberts, Gareth O. (author)
Recently, there have been conceptually new developments in Monte Carlo methods through the introduction of new MCMC and sequential Monte Carlo (SMC) algorithms which are based on continuous-time, rather than discrete-time, Markov processes. This has led to some fundamentally new Monte Carlo algorithms which can be used to sample from, say, a...
journal article 2018
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Dwivedi, Yogesh K. (author), Janssen, M.F.W.H.A. (author), Slade, Emma L. (author), Rana, Nripendra P. (author), Weerakkody, Vishanth (author), Millard, Jeremy (author), Hidders, Jan (author), Snijders, D. (author)
Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through...
journal article 2016
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Vydra, S. (author), Klievink, A.J. (author)
Despite great potential, high hopes and big promises, the actual impact of big data on the public sector is not always as transformative as the literature would suggest. In this paper, we ascribe this predicament to an overly strong emphasis the current literature places on technical-rational factors at the expense of political decision...
journal article 2019
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Bouwman, W.A.G.A. (author), Nikou, Shahrokh (author), Molina-Castillo, Francisco Jose (author), de Reuver, G.A. (author)
Purpose: This paper aims to explore how digital technologies have forced small- to medium-sized enterprises (SMEs) to reconsider and experiment with their business models (BMs) and how this contributes to their innovativeness and performance. Design/methodology/approach: An empirical study has been conducted on 338 European SMEs actively...
journal article 2018
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Van Den Homberg, Marc (author), Susha, I. (author)
Reporting on the Sustainable Development Goals (SDGs) is complex given the wide variety of governmental and NGO actors involved in development projects as well as the increased number of targets and indicators. However, data on the wide variety of indicators must be collected regularly, in a robust manner, comparable across but also within...
journal article 2018
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Filippidou, F. (author), Nieboer, N.E.T. (author), Visscher, H.J. (author)
The existing housing stock plays a major role in meeting the energy saving targets set in the Netherlands as well as in the EU. Existing buildings account for 38% of the final energy consumption in the European Union (EU), and they are responsible for 36% of the CO<sub>2</sub> emissions. Energy renovations in dwellings offer unique...
journal article 2017
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Yap, M.D. (author), Munizaga, Marcela (author)
This paper synthesizes evidence from Workshop 8 ‘Big data in the digital age and how it can benefit public transport users’ of the 15th International Conference on Competition and Ownership in Land Passenger Transport. Big data in public transportation has increasingly attracted the attention from both scientists and practitioners, resulting...
journal article 2018
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Susha, Iryna (author), Janssen, M.F.W.H.A. (author), Verhulst, Stefaan (author)
Purpose: In “data collaboratives”, private and public organizations coordinate their activities to leverage data to address a societal challenge. This paper aims to focus on analyzing challenges and coordination mechanisms of data collaboratives. Design/methodology/approach: This study uses coordination theory to identify and discuss the...
journal article 2017
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Wahyudi, A. (author), Kuk, George (author), Janssen, M.F.W.H.A. (author)
Data seldom create value by themselves. They need to be linked and combined from multiple sources, which can often come with variable data quality. The task of improving data quality is a recurring challenge. In this paper, we use a case study of a large telecom company to develop a generic process pattern model for improving data quality....
journal article 2018
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Klievink, A.J. (author), Romijn, Bart Jan (author), Cunningham, S. (author), de Bruijn, J.A. (author)
Big data is being implemented with success in the private sector and science. Yet the public sector seems to be falling behind, despite the potential value of big data for government. Government organizations do recognize the opportunities of big data but seem uncertain about whether they are ready for the introduction of big data, and if...
journal article 2016
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Matheus, R. (author), Janssen, M.F.W.H.A. (author), Maheshwari, D. (author)
Dashboards visualize a consolidated set data for a certain purpose which enables users to see what is happening and to initiate actions. Dashboards can be used by governments to support their decision-making and policy processes or to communicate and interact with the public. The objective of this paper is to understand and to support the...
journal article 2018
Searched for: collection%3Air
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