An empirical study of business intelligence impact on corporate performance management

Business intelligence technologies have received much attention recently from both academics and practitioners. However, the impact of business intelligence (BI) on corporate performance management (CPM) has not yet been investigated. To address this gap, we conducted a large-scale survey collecting data from 337 senior managers. Partial least square method was employed to analyse the survey data. Findings suggest that the more effective the BI implementation, the more effective the CPM-related planning and analytic practices. Interestingly, size and industry sector do not influence the relationships between BI effectiveness and the CPM. This research offers a number of implications for theory and practice.

Agency issues surrounding A-REITS and the global financial crisis

 This thesis examines the optimal balance of debt and equity undertaken by Australian Real Estate Investment Trusts, the incentive-driven pay structure utilized to compensate management, and the factors of A-REIT composition and performance that appeal to large, powerful shareholders who are able to influence market prices.

Determinants of school attendance among migrant children: survey evidence from China's Jiangsu province

Across the developing world education is seen as a means of raising levels of everyday wellbeing and is being linked to improved measures of productivity and economic growth. This paper employs a household production function framework to examine the determinants of school attendance among migrant children using a unique dataset collected in China's Jiangsu province. The study finds that the main predictors of school attendance among migrant children in the sample were household income, mother's education, the length of residence of the child's mother in the city and whether both parents were working in the same city. © 2006 Blackwell Publishing Ltd.

Gambling participation and problem gambling severity in a stratified random survey : Findings from the second social and economic impact study of gambling in Tasmania

Demographic characteristics associated with gambling participation and problem gambling severity were investigated in a stratified random survey in Tasmania, Australia. Computer-assisted telephone interviews were conducted in March 2011 resulting in a representative sample of 4,303 Tasmanian residents aged 18 years or older. Overall, 64.8 % of Tasmanian adults reported participating in some form of gambling in the previous 12 months. The most common forms of gambling were lotteries (46.5 %), keno (24.3 %), instant scratch tickets (24.3 %), and electronic gaming machines (20.5 %). Gambling severity rates were estimated at non-gambling (34.8 %), non-problem gambling (57.4 %), low risk gambling (5.3 %), moderate risk (1.8 %), and problem gambling (.7 %). Compared to Tasmanian gamblers as a whole significantly higher annual participation rates were reported by couples with no children, those in full time paid employment, and people who did not complete secondary school. Compared to Tasmanian gamblers as a whole significantly higher gambling frequencies were reported by males, people aged 65 or older, and people who were on pensions or were unable to work. Compared to Tasmanian gamblers as a whole significantly higher gambling expenditure was reported by males. The highest average expenditure was for horse and greyhound racing ($AUD 1,556), double the next highest gambling activity electronic gaming machines ($AUD 767). Compared to Tasmanian gamblers as a whole problem gamblers were significantly younger, in paid employment, reported lower incomes, and were born in Australia. Although gambling participation rates appear to be falling, problem gambling severity rates remain stable. These changes appear to reflect a maturing gambling market and the need for population specific harm minimisation strategies. © 2014 Springer Science+Business Media New York.

Patterns of care in adult medulloblastoma: results of an international online survey

The literature on medulloblastoma in adults is generally limited to case reports and retrospective series, and there is no accepted standard of care. The Cooperative Trials Group for Neuro-Oncology (COGNO) sought to determine the range and consistency of clinicians’ approaches to management as a basis for future trials. We aimed to identify current treatment strategies for adult medulloblastoma through an online survey launched at the 2012 Society of Neuro-Oncology meeting and by email invitation. Clinicians who had treated at least one adult patient with medulloblastoma, primitive neuroectodermal tumor (PNET), or pineoblastoma in the preceding year were asked about their most recent patient and invited to discuss their approach to a typical clinical scenario. Between November 2012 and January 2013, 45 clinicians (11 medical oncologists, 8 radiation oncologists, 5 pediatric oncologists, and 21 others) from Australia (24), United States (3), Europe (4) and other countries (14) completed the survey. Responding clinicians had treated 54 cases in the past 12 months. The most common histological type was medulloblastoma (64 %), then PNET (20 %). Most patients were male (68 %), and had high-risk disease (65 %). Complete surgical resection in 56 and 32 % had molecular testing. Radiotherapy was predominantly cranio-spinal (92 %) and given mostly post-resection (80 %). Combination chemotherapy was more common than single-agent chemotherapy. The choice of chemotherapy varied considerably. There is substantial variation in the treatment of adult medulloblastoma, most pronounced in the choice of chemotherapeutic agents, highlighting the need for further collaborative research to guide evidence-based treatment strategies.

A survey on differential privacy and applications

Privacy preserving in data release and mining is a hot topic in the information security field currently. As a new privacy notion, differential privacy (DP) has grown in popularity recently due to its rigid and provable privacy guarantee. After analyzing the advantage of differential privacy model relative to the traditional ones, this paper surveys the theory of differential privacy and its application on two aspects, privacy preserving data release (PPDR) and privacy preserving data mining (PPDM). In PPDR, we introduce the DP-based data release methodologies in interactive/non-interactive settings and compare them in terms of accuracy and sample complexity. In PPDM, we mainly summarize the implementation of DP in various data mining algorithms with interface-based/fully access-based modes as well as evaluating the performance of the algorithms. We finally review other applications of DP in various fields and discuss the future research directions.

A stakeholder approach to corporate social responsibility, reputation and business performance

Purpose - This paper aims to investigate business managers' assessment of stakeholders' influence on corporate social responsibility (CSR) initiatives. The key stakeholders included "employees" and "unions" as internal and "public", the "media" and the "government" as external stakeholders. The purpose was to estimate the influence of stakeholders that managers perceive as important. Moreover, the study sought to identify association between the CSR construct and corporate reputation and in turn whether this influences business performance. Design/methodology/approach - This study uses a mail survey with a random sampling of senior managers sourced from Dun & Bradstreet's Australian business database, focusing on large organizations (i.e. minimum $10 million p.a. reported sales and minimum 100 employees) as the selection criteria. A conceptual model was developed and tested using structural equation modeling. Findings - The results identified that "employees" and the "public" are perceived to be the influential stakeholder groups in CSR decision-making. There was evidence of a positive relationship between the CSR construct and reputation, which in turn influenced market share, but not profitability. Research limitations/implications - This study examined a cross-section of organizations using Dun & Bradstreet's database of Australian businesses and may not fully represent the Australian business mix. The effective response rate of 7.2 per cent appears to be low, even though it is comparable with other research in the CSR area. There may have been some self-selection by the respondents, although there were no statistically significant differences identified in the corporate characteristics of those invited to participate and those responding with usable questionnaires. Practical implications - Managers can adopt a stakeholder-influenced CSR strategy to generate strong corporate reputation to improve business performance. It is important to ensure that the interests of "employees" and "public" stakeholders are addressed within organizational strategy. Respondents were less concerned about government stakeholders and thus government involvement in organizational CSR may need to be revisited. Social implications - The major concern that emerges from these findings is the absence of the perceived importance of regulatory stakeholders on firms' CSR activities. Regulatory controls of CSR messages could reduce or eliminate inaccurate and misleading information to the public. Originality/value - The analysis explains the perceived relative influence of stakeholders on CSR decisions. It also provides an understanding of the link between organizational CSR reputation and organization's performance.

Corporate governance and corporate finance practices in a Kuwait Stock Exchange market listed firm: a survey to confront theory with practice

Purpose– This paper aims to explore the issue of corporate governance mechanisms by including the importance of stakeholders, primary objectives of the firm and the ownership of top financial managers of listed firms in Kuwait in the survey tool. It attempts to investigate whether theory aligns with the behaviour of financial managers in practice in an emerging market case.Design/methodology/approach– A survey was developed to focus primarily on the current corporate finance practices implemented by CFOs in listed companies in Kuwait. The target respondents are listed firms in the Kuwaiti Stock Exchange (KSE). The survey includes questions on topics that are closely related to capital budgeting, capital structure, cost of capital and dividend policy. For example, the survey asks the managers how they estimate their cost of equity (CAPM or other methods) and whether the impact of the weighted average cost of equity is taken into consideration in their capital structure choices.Findings– A surprising number of firms are now widely using IRR for decision making. CAPM is also in use, whereas WACC remains the most popular method used. There is some support for the “bird‐in‐hand” dividend theory in the tax‐free environment. Firms in Kuwait do not have any particular source of capital structure choices when it comes to how best to finance their projects as is the case in the US market. Firms in Kuwait are consciously striving for maximizing profits and those managers are regarded as their most important stakeholders. This may indicate the existence of agency problems.Research limitations/implications– The limitation of this study lies in the absence of empirical investigation on how corporate finance decisions may affect firms' performance in Kuwait. Hence, empirical validation will be performed by the authors in the next stage of this research, which will form the basis for further research. Empirical validation for the impact of corporate governance on performance is needed.Practical implications– This research may benefit managers and decision makers in many aspects, including having an understanding of applying popular and the most suitable corporate finance and corporate governance techniques in the management of their companies. In this research, the authors have identified the gap between practice and academia.Originality/value– To the best of the authors' knowledge, this is the first study to examine comprehensively major areas of financial policies and practices and corporate governance in an emerging market case, especially in the Middle East. Kuwait provides a unique institutional setting in its taxation system. Therefore, this study will make a contribution to the general literature in this field.

The effect of transition to specialty practice programs on Australian emergency nurses' professional development, recruitment and retention

BACKGROUND: To date, emergency nursing Transition to Specialty Practice Program (TSPP) evaluations have been single-site observational studies. The aim of this paper was to examine the professional development, recruitment and retention outcomes of Australian emergency nursing TSPPs. METHODS: An explanatory sequential design was used. Data were collected via online surveys and interviews of emergency Nurse Unit Managers and Nurse Educators. Survey data from EDs with TSPPs and EDs without TSPPs were compared. Qualitative data were analysed using content analysis. RESULTS: Data were collected from 118 EDs, and 13 interviews. TSPPs were offered in 72.1% of EDs. EDs with TSPPs had higher proportions of nurses with postgraduate qualifications (Mdn 28.3% vs. 22.1%, p=0.45) and Clinical Specialists (Mdn 16.4% vs. 6.3%, p=0.04). The median proportion of currently rostered nurses with TSPP completion was 34.2% in EDs with TSPPs introduced in 2000-2005 indicating ED high levels of retention. CONCLUSION: Emergency nursing TSPPs have had a positive effect on nursing professional development, recruitment and retention. To ensure consistency in outcomes and optimise reliability of emergency nursing skills and knowledge, a national emergency nursing TSPP framework is needed.

A comprehensive diagnostic framework for evaluating business intelligence and analytics effectiveness

Business intelligence and analytics (BIA) initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design scienceparadigm to develop a comprehensive BIA effectiveness diagnostic (BIAED) framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriateinput from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants) and use the results toinform BIA strategy formulation. Feedback from participating organizations indicates that the BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

Teacher agency and participation in professional learning for new literacies

The proliferation of digital technologies is influencing the relational as well as the technological and meaning-making aspects of literacy learning. There is a renewed focus on student learning that promotes agency and enables new literacies mindsets. However a lack of clarity persists as to the form and content of effective professional learning for teachers of new literacies. Combining elements from various models of professional learning to foster teacher agency and participation mobilises transformed processes and conditions. This article draws on literature from the areas of new literacies, student agency and teacher professional learning to argue for approaches to teacher professional learning that support new literacy learning. It explores the characteristics of models of professional learning for teachers; describes a professional learning program offered to teachers of literacy; outlines a mixed methods research study in the form of a survey of participants engaged in the professional learning program; and analyses teacher perceptions of their experiences of professional learning and how key characteristics influenced their learning.

Attributes of effective business teachers: perceptions of students enrolled in highly rated units

This study employs a widely used attributes of effective teachers framework to guide the coding of written feedback of students (n =169) enrolled in highly rated (top 25 per cent) business units at a large Australian University. This framework also underpins the theoretical interpretation of the data. By focusing on student feedback about effective business teachers, the aim of this study is to identify the most important attributes of these teachers from the perspective of satisfied student. The data is part of a larger survey of student evaluations of teaching and units. Findings from the analysis of feedback from highly-satisfied students reveals that the top five attributes of effective business teachers are related to classroom performance – creative and interesting, knowledgeable, effective communicator, sensitive and persistent, and enthusiastic. The findings provide insights to teachers, students and university administrators. A recommendation for future research is provided.

A suite of visual languages for model-driven development of statistical surveys and services

Objective: To provide statistician end users with a visual language environment for complex statistical survey design and implementation. Methods: We have developed, in conjunction with professional statisticians, the Statistical Design Language (SDL), an integrated suite of visual languages aimed at supporting the process of designing statistical surveys, and its support environment, SDLTool. SDL comprises five diagrammatic notations: survey diagrams, data diagrams, technique diagrams, task diagrams and process diagrams. SDLTool provides an integrated environment supporting design, coordination, execution, sharing and publication of complex statistical survey techniques as web services. SDLTool allows association of model components with survey artefacts, including data sets, metadata, and statistical package analysis scripts, with the ability to execute elements of the survey design model to implement survey analysis. Results: We describe three evaluations of SDL and SDLTool: use of the notation by expert statistician to design and execute surveys; useability evaluation of the environment; and assessment of several generated statistical analysis web services. Conclusion: We have shown the effectiveness of SDLTool for supporting statistical survey design and implementation. Practice implications: We have developed a more effective approach to supporting statisticians in their survey design work.

A preliminary survey of factors affecting software testers

Most software testing research has focused on the development of systematic, standardised, and automated testing methodologies and tools. The abilities and expertise needed to apply such techniques and tools - such as personality traits, education, and experience - have attracted a comparatively small amount of research attention. However, the limited research in the area to date provides some indication that the human traits of software testers are important for effective testing. This paper presents the opinions of software testers themselves, collected through an online survey, on the importance of a variety of factors that influence effective testing, including testing-specific training, experience, skills, and human qualities like dedication and general intelligence. The survey responses strongly suggest that while testing tools and training are important, human factors were similarly considered highly important. Domain knowledge, experience, intelligence, and dedication, amongst other traits, were considered crucial for a software tester to be effective. As such, while systematic methodologies are important, the individual most clearly does matter in software testing. The results of our research have implications for education, recruitment, training and management of software testers.