Investigating the success of operational business process management systems

Business process management systems (BPMS) belong to a class of enterprise information systems that are characterized by the dependence on explicitly modeled process logic. Through the process logic, it is relatively easy to manage explicitly the routing and allocation of work items along a business process through the system. Inspired by the DeLone and McLean framework, we theorize that these process-aware system features are important attributes of system quality, which in turn will elevate key user evaluations such as perceived usefulness, and usage satisfaction. We examine this theoretical model using data collected from four different, mostly mature BPM system projects. Our findings validate the importance of input quality as well as allocation and routing attributes as antecedents of system quality, which, in turn, determines both usefulness and satisfaction with the system. We further demonstrate how service quality and workflow dependency are significant precursors to perceived usefulness. Our results suggest the appropriateness of a multi-dimensional conception of system quality for future research, and provide important design-oriented advice for the design and configuration of BPMSs.

User expertise in contemporary information systems : conceptualization, measurement and application

The development of user expertise is a strategic imperative for organizations in hyper-competitive markets. This paper conceptualizes opreationalises and validates user expertise in contemporary Information Systems (IS) as a formative, multidimensional index. Such a validated and widely accepted index would facilitate progression of past research on user competence and efficacy of IS to complex contemporary IS, while at the same time providing a benchmark for organizations to track their user expertise. The validation involved three separate studies, including exploratory and confirmatory phases, using data from 244 respondents.

The ability of YSR DSM-oriented depression scales to predict DSM-IV depression in young adults : a longitudinal study

Background The Achenbach child behaviour checklist (CBCL/YSR) is a widely used screening tool for affective problems. Several studies report good association between the checklists and psychiatric diagnoses; although with varying degrees of agreement. Most are cross-sectional studies involving adolescents referred to mental health services. This paper aims to evaluate the performance of the youth self report (YSR) empirical and DSM-oriented internalising scales in predicting later depressive disorders in young adults. Methods Sample was 2431 young adults from an Australian birth cohort study. The strength of association between the empirical and DSM-oriented scales assessed at 14 and 21 years and structured-interview derived depression in young adulthood (18 to 22 years) were tested using odds ratios, ROC analyses and related diagnostic efficiency tests (sensitivity, specificity, positive and negative predictive values). Results Adolescents with internalising symptoms were twice (OR 2.3, 95%CI 1.7 to 3.1) as likely to be diagnosed with DSM-IV depression by age 21. Use of DSM-oriented depressive scales did not improve the concordance between the internalising behaviour and DSM-IV diagnosed depression at age 14 (ORs ranged from 1.9 to 2.5). Limitations Some loss to follow-up over the 7-year gap between the two waves of follow-up. Conclusion DSM-oriented scales perform no better than the standard internalising or anxious/depressed scales in identifying young adults with later DSM-IV depressive disorder.

Predicting depressive and anxiety disorders with the YASR internalising scales (empirical and DSM-oriented)

Background The Achenbach problem behaviour scales (CBCL/YSR) are widely used. The DSM-oriented anxiety and depression scales have been created to improve concordance between Achenbach’s internalising scales and DSM-IV depression and anxiety. To date no study has examined the concurrent utility of the young adult (YASR) internalising scales, either the empirical or newly developed DSM-oriented depressive or anxiety scales. Methods A sample of 2,551 young adults, aged 18–23 years, from an Australian cohort study. The association between the empirical and DSM-oriented anxiety and depression scales were individually assessed against DSMIV depression and anxiety diagnoses derived from structured interview. Odds ratios, ROC analyses and diagnostic efficiency tests (sensitivity, specificity, positive and negative predictive values) were used to report findings. Results YASR empirical internalising scale predicted DSM-IV mood disorders (depression OR = 6.9, 95% CI 5.0–9.5; anxiety OR = 5.1, 95% CI 3.8–6.7) in the previous 12 months. DSM-oriented depressive or anxiety scales did not appear to improve the concordance with DSM-IV diagnosed depression or anxiety. The internalising scales were much more effective at identifying those with comorbid depression and anxiety, with Ors between 10.1 and 21.7 depending on the internalising scale used. Conclusion DSM-oriented scales perform no better than the standard internalising in identifying young adults with DSM-IV mood or anxiety disorder.

Tax Deductible Giving in 2010 - 2011:ACPNS Current Issues Information Sheet 2013/1

Each year The Australian Centre for Philanthropy and Nonprofit Studies (ACPNS) at QUT analyses statistics on tax-deductible donations made by Australians in their individual income tax returns to Deductible Gift Recipients (DGRs). The information presented below is based on the amount and type of tax-deductible donations made by Australian taxpayers to DGRs for the period 1 July 2010 to 30 June 2011 extracted from the Australian Taxation Office's publication Taxation Statistics 2010-2011.1

Unravelling (e-)government channel selection: A quantitative analysis of individual customer preferences in Germany and Australia

The purpose of this study is to identify the impact of individual differences on service channel selection for e-government services. In a comparative survey of citizens in Germany and Australia (n=1205), we investigate the impact of age, gender, and mobility issues on the selection of personal or mobile communication as channels for service consumption. The results suggest that Australians are more likely to want to use new technology-oriented channels as internet or mobile applications while Germans tend to use classical channels as telephone or in person. Moreover, differences with respect to age, gender, and mobility exist. Implications for practice and issues for future research are discussed.

Information quality in social media : a conceptual model

Social Media (SM) is increasingly being integrated with business information in decision making. Unique characteristics of social media (e.g. wide accessibility, permanence, global audience, recentness, and ease of use) raise new issues with information quality (IQ); quite different from traditional considerations of IQ in information systems (IS) evaluation. This paper presents a preliminary conceptual model of information quality in social media (IQnSM) derived through directed content analysis and employing characteristics of analytic theory in the study protocol. Based in the notion of ‘fitness for use’, IQnSM is highly use and user centric and is defined as “the degree to which information is suitable for doing a specified task by a specific user, in a certain context”. IQnSM is operationalised as hierarchical, formed by the three dimensions (18 measures): intrinsic quality, contextual quality and representational quality. A research plan for empirically validating the model is proposed.

Analyzing and defining information requirements of knowledge intensive construction management tasks on BIM

With the increasing popularity and adoption of building information modeling (BIM), the amount of digital information available about a building is overwhelming. Enormous challenges remain however in identifying meaningful and required information from a complex BIM model to support a particular construction management (CM) task. Detailed specifications of information required by different construction domains and expressive and easy-to-use BIM reasoning mechanisms are seen as an important means in addressing these challenges. This paper analyzes some of the characteristics and requirements of component-specific construction knowledge in relation to the current work practice and BIM-based applications. It is argued that domain ontologies and information extraction approaches, such as queries could significantly bring much needed support for knowledge sharing and integration of information between design, construction and facility management.

Management accounting adaptability in an integrated information system environment

In this study, we explore the relationship between the qualities of the information system environment and management accounting adaptability. The information system environment refers to three distinct elements: the degree of information system integration, system flexibility, and shared knowledge between business unit managers and the IT function. We draw on the literature on integrated information systems (IIS) and management accounting change and propose a model to test the hypothesized relationships. The sample for this study consists of Australian companies from all industries.

Multi-level information fusion for environment aware robotic navigation

This thesis develops the hardware and software framework for an integrated navigation system. Dynamic data fusion algorithms are used to develop a system with a high level of resistance to the typical problems that affect standard navigation systems.

Modelling the information seeking user by the decision they make

The article focuses on how the information seeker makes decisions about relevance. It will employ a novel decision theory based on quantum probabilities. This direction derives from mounting research within the field of cognitive science showing that decision theory based on quantum probabilities is superior to modelling human judgements than standard probability models [2, 1]. By quantum probabilities, we mean decision event space is modelled as vector space rather than the usual Boolean algebra of sets. In this way,incompatible perspectives around a decision can be modelled leading to an interference term which modifies the law of total probability. The interference term is crucial in modifying the probability judgements made by current probabilistic systems so they align better with human judgement. The goal of this article is thus to model the information seeker user as a decision maker. For this purpose, signal detection models will be sketched which are in principle applicable in a wide variety of information seeking scenarios.

Designing a continuum of quality external cause of injury information in Queensland : from ambulance to hospital

This study is the first to employ an epidemiological framework to evaluate the ‘fit-for-purpose’ of ICD-10-AM external cause of injury codes, ambulance and hospital clinical documentation for injury surveillance. Importantly, this thesis develops an evidence-based platform to guide future improvements in routine data collections used to inform the design of effective injury prevention strategies. Quantification of the impact of ambulance clinical records on the overall information quality of Queensland hospital morbidity data collections for injury causal information is a unique and notable contribution of this study.

Discovering interesting information with advances in web technology

The Web is a steadily evolving resource comprising much more than mere HTML pages. With its ever-growing data sources in a variety of formats, it provides great potential for knowledge discovery. In this article, we shed light on some interesting phenomena of the Web: the deep Web, which surfaces database records as Web pages; the Semantic Web, which de�nes meaningful data exchange formats; XML, which has established itself as a lingua franca for Web data exchange; and domain-speci�c markup languages, which are designed based on XML syntax with the goal of preserving semantics in targeted domains. We detail these four developments in Web technology, and explain how they can be used for data mining. Our goal is to show that all these areas can be as useful for knowledge discovery as the HTML-based part of the Web.

Workplace experiences of information literacy

The idea of information literacy, broadly deÞned as the ability to recognise information needs and identify, evaluate and use information e¤ectively, has been of growing concern in the education sectors for a number of years; whilst in the workplace, employers and managers have perhaps attended more to the need for computer and information technology skill. New descriptions of information literacy, that may be of value to the business sector, are now beginning to appear as a result of qualitative research into how professional employees experience the e¤ective use of information. This paper summarises the outcomes of an investigation into the experience of information literacy amongst various types of professionals; and explores the possible di¤erences and interrelations between individual and organisational information literacy suggested by these outcomes. Seven di¤erent ways of experiencing information literacy were identiÞed. These experiences are closely related to important workplace processes such as environmental scanning, information management, corporate memory, and research and development; conÞrming that information literacy should be considered a signiÞcant part of the character of learning organisations as well as being a key characteristic of the organisationÕs employees. Implications of individual and organisational information literacy for beginning and continuing professional education are explored.