The advent of New Zealand’s world-leading Digital Strategy underpins the increasing importance of ICTs in community settings. It also marks a significant change in government policy and the first time a government has adopted a whole of government approach to ICTs. This article provides a personal view of the policy process for creating the Digital Strategy, presented by one of the participants...

This paper will discuss recent initiatives to encourage the development of broadband networks in New Zealand. It is widely believed that the availability of good quality broadband will lead to improved economic development at the regional level. This paper considers the role played by both national and regional government in improving access to broadband. At a national level the government has ...

Organizations are increasingly adopting digital strategies and investing heavily in digital technologies and initiatives. However, to date, there does not appear to be a clear understanding of digital strategies and their purpose, which forms the motivation for this research. This research-in-progress study aims to address this research gap by exploring 1) the various conceptions of digital str...

•Many parents use multiple monitoring strategies in different combinations over time to monitor their adolescents.•Adolescents of parents who use multiple strategies reported greater risk involvement.•Parents who solicited information only from adolescents had greater knowledge and adolescent disclosure.

Virtual reality training systems are commonly used in a variety of domains, and it is important to understand how the realism of a training simulation influences training effectiveness. We conducted a controlled experiment to test the effects of display and scenario properties on training effectiveness for a visual scanning task in a simulated urban environment. The experiment varied the levels...

When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training data. A user must decide how much training data to use in the training, and then select the data to be used from a given data set. We considered to handle this SVM training data selection as a multi-objective optimizatio...