Field validation of controlled Monte Carlo data generation for statistical damage identification employing Mahalanobis squared distance

This article presents the field applications and validations for the controlled Monte Carlo data generation scheme. This scheme was previously derived to assist the Mahalanobis squared distance–based damage identification method to cope with data-shortage problems which often cause inadequate data multinormality and unreliable identification outcome. To do so, real-vibration datasets from two actual civil engineering structures with such data (and identification) problems are selected as the test objects which are then shown to be in need of enhancement to consolidate their conditions. By utilizing the robust probability measures of the data condition indices in controlled Monte Carlo data generation and statistical sensitivity analysis of the Mahalanobis squared distance computational system, well-conditioned synthetic data generated by an optimal controlled Monte Carlo data generation configurations can be unbiasedly evaluated against those generated by other set-ups and against the original data. The analysis results reconfirm that controlled Monte Carlo data generation is able to overcome the shortage of observations, improve the data multinormality and enhance the reliability of the Mahalanobis squared distance–based damage identification method particularly with respect to false-positive errors. The results also highlight the dynamic structure of controlled Monte Carlo data generation that makes this scheme well adaptive to any type of input data with any (original) distributional condition.

Essays in the political economy of voting and reforms

This thesis presents four essays in the political economy of elections and reforms. The first study exploits discontinuities around school entry cut-off dates to show that early childhood conditions can impact the probability to become a top-flight politician. The second study provides empirical estimates of the effect of sequential voting on turnout and bandwagon voting outside the laboratory. The third work describes a novel nonparametric strategy to identify tactical voting patterns directly from balloting results using British election data. Finally, a study is put forward that examines the political feasibility of reforms.

Institutional investors, political connections and analyst following in Malaysia

We examine the association between institutional ownership, political connections, and analyst following in Malaysia from 1999 to 2009. Based on 940 firm-year observations, we document a positive relation between institutional ownership, particularly by Employees Provident Fund (EPF), and analyst following, thus supporting the governance role that institutional investors play in promoting corporate transparency. However, there is no evidence that political connections matter to analyst following. The monitoring role of institutional investors, including EPF, does not appear to be any different between politically connected and non-connected firms.

Long distance calling? Spatial preference patterns in enterprise microblogging in the retail industry

We examine enterprise social network usage data obtained from a community of store managers in a leading Australian retail organization, over a period of fifteen months. Our interest in examining this data is in spatial preferences by the network users, that is, to ascertain who is communicating with whom and where. We offer several contrasting theoretical perspectives for spatial preference patterns and examine these against data collected from over 12,000 messages exchanged between 530 managers in 897 stores. Our findings show that interactions can generally be characterized by individual preferences for local communication but also that two different user communities exist – locals and globals. We develop empirical profiles for these social network user communities and outline implications for theories on spatial influences on communication behaviours on enterprise social networks.

Blended learning : meeting the needs of distance education students

This thesis involved research into the barriers and enablers that existed for a cohort of mature-aged education support students engaging with blended learning through distance education. The findings that emerged from this research indicated that a flexible model of blended learning is possible in this context. The findings shed light on the experiences of novice technology users' participation in blended learning. The study highlighted the significance of factors such as isolation, technology, communication, connectivity, prior learning, and the growth of self-efficacy that influenced learner engagement.

Exploring the effect of political risks in large infrastructure projects in politically unstable countries using a probabilistic modelling approach

This research aims to explore and identify political risks on a large infrastructure project in an exaggerated environment to ascertain whether sufficient objective information can be gathered by project managers to utilise risk modelling techniques. During the study, the author proposes a new definition of political risk; performs a detailed project study of the Neelum Jhelum Hydroelectric Project in Pakistan; implements a probabilistic model using the principle of decomposition and Bayes probabilistic theorem and answers the question: was it possible for project managers to obtain all the relevant objective data to implement a probabilistic model?

Engaging, persuading, and entertaining citizens : mediatization and the Australian political public sphere

This paper draws upon public sphere theories and the “mediatization of politics” debate to develop a mapping of the Australian political public sphere, with particular reference to television. It discusses the concept of a “political public sphere,” and the contribution of both non-traditional news media genres, such as satirical television and infotainment formats, to an expanded conception of the political public sphere. It considers these questions in the context of two case studies: the Q&A program on the Australian Broadcasting Corporation (ABC), and its uses of social media and interactive formats to engage citizens, and the comedy program Gruen Nation, also on the ABC, which analyzed the use of political advertising to persuade citizens during the 2013 Australian Federal election.

Compositional data analysis (CoDA) approaches to distance in information retrieval

Many techniques in information retrieval produce counts from a sample, and it is common to analyse these counts as proportions of the whole - term frequencies are a familiar example. Proportions carry only relative information and are not free to vary independently of one another: for the proportion of one term to increase, one or more others must decrease. These constraints are hallmarks of compositional data. While there has long been discussion in other fields of how such data should be analysed, to our knowledge, Compositional Data Analysis (CoDA) has not been considered in IR. In this work we explore compositional data in IR through the lens of distance measures, and demonstrate that common measures, naïve to compositions, have some undesirable properties which can be avoided with composition-aware measures. As a practical example, these measures are shown to improve clustering. Copyright 2014 ACM.

Politics and the Press in Indonesia : Understanding an Evolving Political Culture

This book explores the evolving political culture in Indonesia, by discussing the country's dominant political philosophies, then showing how those philosophies affect the working lives of ordinary Indonesian citizens. It focuses in particular on the working lives of news journalists, a group that occupies a strategic social and political position.

The political in the age of the digital: propositions for empirical investigation

This article establishes whether there is a case for revising traditional accounts of politics and the public sphere given the ways in which digital technology is now being used in Western and non-Western settings to engage people politically. The article presents a case for framing this inquiry in terms of imaginaries. It then argues for a new political imaginary which helps to specify what is required for deliberative democratic practice in a way that shifts us away from the dominant liberal-utilitarian political imaginary that currently informs the political value systems of most Western nations. Drawing on the work of key political theorists such as Habermas and Dahlgren, five propositions or conditions for deliberative practice are identified that can be used in empirical investigation to help determine the democratic capacity and potential of new political communication and civic spaces being opened by means of digital media.