Incorporating Trust into Context-Aware Services

Enabling technologies concerning hardware, networking, and sensing have inspired the development of context-aware IT services. These adapt to the situation of the user, such that service provisioning is specific to his/her corresponding needs. We have seen successful applications of context-aware services in healthcare, well-being, and smart...

Nudging households for energy savings via smartphone apps and web portals: An empirical study

In this paper, we report evidence collected in the context of the Horizon 2020 NUDGE project about the effectiveness of digital tools such as smartphone apps and web portals to realize nudging interventions towards different energy efficiency goals: from the reduction of heating energy and electricity to the increase of self-consumption in...

Combining Context-Awareness and Data Analytics in Support of Drone Technology

Drones performing an autonomous mission need to adapt to frequent changes in their environment. In other words, they have to be context-aware. Most current context-aware systems are designed to distinguish between situations that have been pre-defined in terms of anticipated situation types and corresponding desired behavior types. This only...

Benchmarking Apache Arrow Flight - A wire-speed protocol for data transfer, querying and microservices

Moving structured data between different big data frameworks and/or data warehouses/storage systems often cause significant overhead. Most of the time more than 80% of the total time spent in accessing data is elapsed in serialization/de-serialization step. Columnar data formats are gaining popularity in both analytics and transactional...

eCommerce Platforms Evaluation Framework for Government

The international trade flow of e-commerce goods have reached unprecedented volumes. Ensuring undisrupted flow of cross-border eCommerce goods has become one of the top priorities for customs administrations around the world. Customs has a role in safeguarding public values such as safety and security, revenue collection, and stimulation of the...

Using Business Data in Customs Risk Management: Data Quality and Data Value Perspective

With the rise of data analytics use in government, government organizations are starting to explore the possibilities of using business data to create further public value. This process, however, is far from straightforward: key questions that governments need to address relate to the quality of this external data and the value it brings. In the...

Collective Data Analytics Capability Building Processes: a Governance Model

Collective data analytics capability building offers opportunities for government organizations to develop capabilities that would be difficult to develop on their own. However, research on that topic is scarce and there is still a limited understanding of how collective data analytics capability building processes contribute to the value...

Value of Big Data Analytics for Customs Supervision in e-Commerce

Big data and analytics have received a lot of attention in e-government research over the last decade and practitioners and researchers are looking into the transformative power of this technology to create for example competitive advantage, and increase transparency. Recent research points out that while parties are aware of the transformative...

Composite Public Values and Software Specifications

Public values are desires of the general public, that are about properties considered societally valuable, such as respecting the privacy of citizens or prohibiting polluting activities. “Translating” public values into functional solutions is thus an actual challenge. Even though Value-Sensitive Design (VSD) is about weaving public values in...

Launch strategies for multi-sided data analyt-ics platforms

Launching multi-sided platforms is challenging as providers have to gather a critical mass of users in multiple target groups. Various `launch strategies' can be derived from existing platform literature, such as price subsidization, platform openness and coring. However, studies on the utility of these launch strategies for informing design...

Data Analytics for the of RCF Damages on the Dutch High Speed Line

During a typical measurement campaign, lots of temporal and spatial data can be gathered regarding the condition of the rail. This paper proposes two approaches that make use of data analytics techniques to find causes of rolling contact fatigue (RCF) damages. The first approach, named ‘bottom-up approach’, determines the influencing factors...

Exploring strategies in integrated container terminal planning tasks: A data-intensive simulation game analysis

Planning tasks in modern, fully automated container terminals require a high awareness of the complex situation, and successful planning strategies. Operational planning includes both strategies of planning and resource management. As planning procedures are not (yet) fully automated, a skilled workforce of planners is needed to conduct the...