49 resultados para Pollard, Madeline Valeria.

em Deakin Research Online - Australia


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Systems implementation is inherently a political process. However, the majority of the literature in the area of systems implementation takes a simplistic look at factors attributed to success. These studies provide empirical evidence that “human factors” such as “top management support” contribute to a successful implementation. Rather than accept this, we challenge this view and explore two “human” issues – power and legitimacy inside systems implementation. By exploring the implementation of a learning management system at the University of New Zealand, issues such as power and legitimacy affect the way an implementation team collaborates. Systems implementation is a complex and messy process and we need to understand the implementation process, acknowledging that top management support is not always necessary to “successfully” implement a system.

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There have been a myriad of research studies concerning SME e-Commerce adoption. However, the findings of these studies with regard to adoption factors have often been fragmented and contradictory. This paper analyses the previous research and synthesises the findings into a cohesive model of factors affecting SME adoption of e-Commerce. Eight meta-factors were identified: (1) perceived relative advantage; (2) perceived compatibility; (3) perceived complexity; (4) pressures from trading partners; (5) pressures from competitors; (6) external change agents; (7) knowledge and expertise about e-Commerce; and (8) management attitudes towards e-Commerce. These meta-factors were further grouped into three contexts: technological, environmental and organisational.

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Most studies undertaken in the area of IT outsourcing seem to focus only on the customer’s perspective leaving a gap in knowledge about the vendor’s perspective. This study aims to correct this deficiency by investigating the views of four organisations providing IT services in Singapore, and comparing this to the current literature base of customer views. The findings showed that the vendor’s views about security, contract management and flexibility differed from the customer’s point of view. However, two issues, partnerships and vendor inexperience, seem to match the vendor issues found in this study. Additionally, two approaches were found to be used by vendors in the IT outsourcing activities, multiple-team approach and single-team approach. A multiple–team approach is likely to be used by vendors having a contract-based relationship and single-team approach is likely to be used by vendors having a partnership-based relationship.

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In recent years, organisations have been increasingly developing web systems as portals through which B2C or B2B eCommerce is conducted. Many such systems suffer from inadequacy in function, form and quality. While such deficiencies are quite commonly encountered in traditional software systems, in the case of web systems, the problems are magnified by the emerging gaps in designers' intentions and the expectation of a global, and frequently grossly misunderstood, user. In this paper we therefore present an approach to investigating the gaps in perceptions between web developer’s intentions and end-users expectations and the subsequent use of web system features. Furthermore, we empirically investigated B2C web systems and determined several useful approaches to practical evaluation of the degree of cohesion between designer and user views of the system.

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Knowledge is instrumental in organisational problem solving and is embedded in organisational processes and routines. We explore the application of IT in breakdowns (forms of interruptions from normal organisational work routines) and illustrate the application of distributed cognition theory (DCT) as a useful lens to explain the exchange of knowledge in breakdowns. DCT also allows for a rich analysis of the role that information technology (IT) can play to foster knowledge exchange in breakdown situations. We use two cases to illustrate that DCT is useful in identifying the matches and mismatches in IT support for exchanging knowledge in breakdowns.

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Recent developments in ecological statistics have reached behavioral ecology, and an increasing number of studies now apply analytical tools that incorporate alternatives to the conventional null hypothesis testing based on significance levels. However, these approaches continue to receive mixed support in our field. Because our statistical choices can influence research design and the interpretation of data, there is a compelling case for reaching consensus on statistical philosophy and practice. Here, we provide a brief overview of the recently proposed approaches and open an online forum for future discussion (https://bestat.ecoinformatics.org/). From the perspective of practicing behavioral ecologists relying on either correlative or experimental data, we review the most relevant features of information theoretic approaches, Bayesian inference, and effect size statistics. We also discuss concerns about data quality, missing data, and repeatability. We emphasize the necessity of moving away from a heavy reliance on statistical significance while focusing attention on biological relevance and effect sizes, with the recognition that uncertainty is an inherent feature of biological data. Furthermore, we point to the importance of integrating previous knowledge in the current analysis, for which novel approaches offer a variety of tools. We note, however, that the drawbacks and benefits of these approaches have yet to be carefully examined in association with behavioral data. Therefore, we encourage a philosophical change in the interpretation of statistical outcomes, whereas we still retain a pluralistic perspective for making objective statistical choices given the uncertainties around different approaches in behavioral ecology. We provide recommendations on how these concepts could be made apparent in the presentation of statistical outputs in scientific papers.