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    884 research outputs found

    Public and Private Sector IT Governance: Identifying Contextual Differences

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    This paper highlights systemic contextual differences and the unique IT Governance issues that might arise in public and private sector organizations. Public sector organizations constitute a significant component of economic activity in most countries. Like their private sector counterparts, many public sector agencies are struggling to cope with reduced or inadequate IT budgets and are continuously looking for ways to extract maximum value from IT resources. While both sectors face similar managerial-level IT issues and challenges, we argue that there are systemic differences between private and public sector organizations suggesting that a one size fits all approach to IT Governance may not apply

    The Social Shaping of Technology: Lessons for Eco-Innovators

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    A range of innovative technologies and applications offer exciting opportunities to address environmental issues. This is particularly relevant to computers and Information Technology (IT) more generally where new computational techniques and approaches to supporting business decision making have the potential to not only redress the carbon cost of that particular industry, but offer carbon savings to the broader community. In the following discussion paper we provide a overview of ways that insights from the interdisciplinary field of STS (Science and Technology Studies or Science Technology and Society) might assist eco-innovators in the IT sector. We identify four interlocking themes emerging from STS scholarship, drawing in particular on studies that have examined the links between technological change, environmental issues and IT that are of relevance. These are discussed and interpreted in the light of the theme of the pape

    EXPLORING THE FACTORS AFFECTING EMPLOYEES’ ADOPTION AND USE OF INNOVATION

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    This paper explores the factors affecting innovation adoption by individual employees within an organization in Australia. Following a qualitative research approach, this paper uses a series of in-depth interviews and focus group discussions involving academic and administrative employees at a tertiary educational institution in Australia. The qualitative approach is adopted to have a deeper insight into the complexities and dynamism associated with the factors influencing innovation adoption process in organizational settings. The findings of this research highlight the need for broadening an understanding of the key factors affecting employee’s decisions to uptake the adoption of innovation. The results provide important clues for comprehending the factors influencing and determining the employee’s adoption and continued use of innovation in the work environment. In the face of the current trend towards end-user applications of technological innovation, the results suggest some guidelines for management toward effective and efficient adoption and use of innovation in organizational settings. This paper has highlighted the above findings and their implications for management practices related to innovation management in an Australian organizational setting. This paper also identifies possible limitations and future research potential in the relevant field

    COMPUTATIONAL INTELLIGENCE FOR CARBON-CENTRIC COMPUTING

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    The focus of this paper is twofold: firstly we make a case for the use of Computational Intelligence (CI) techniques in the modelling and/or prediction of global weather, CO2 emissions, climate change and similar endeavours. CI exploits processes found in Nature, albeit by way of software simulations on digital computers (i.e. in silico), and excel in particular at pattern recognition and/or classification. Moreover, they are characterized as being non-algorithmic, bottom-up, data-driven, and learn-by-example. The second focus of this paper is to propose the use of carbon- rather than silicon-based computing, specifically in the form of DNA (or molecular) computing. Notwithstanding the unsolved difficulties with the latter (especially concerning Input/Output), its inherent massive parallelism has the potential to yield significant performance advantages. Finally, to come full circle, it could well eventuate that the inherent parallelism of DNA Computing could be brought to bear in the modelling/prediction endeavours mentioned previously

    Editorial

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    Green IT Readiness: A Framework and Preliminary Proof of Concept

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    Businesses are under increasing pressure from customers, competitors, regulators and community groups to implement sustainable business practices. Balancing economic and environmental performance to be green and competitive is therefore a key strategic issue. The information technology (IT) sector is one of the pioneer sectors which started working on the sustainable development model. However, it is only lately that researchers and organisations have begun to consider the role of IT, not only in contributing to a businesses environmental footprint but also in tackling climate change problems. Usually coined as, “Green Information Technology”, the role of IT in causing and resolving ecological sustainability, in maintaining low cost IT shops, in building green reputation capital and in supporting corporate green strategies has hardly been researched. This paper identifies four main areas of Green IT capability and describes the main pillars of a G-readiness framework to help organisations evaluate their maturity for Green IT. The utility of the framework is demonstrated through a desk-based research case study of seven organisations. The paper argues that just as e-readiness has been, and continues to be, a critical capability in the digital economy, G-readiness is an equally critical capability in the low carbon digital economy. Without a clear understanding of G-readiness, organisations would approach Green IT initiatives on an ad hoc and somewhat reactive basis, which is undesirable

    ERA Distribution of Information Systems Journals

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    The Excellence in Research for Australia (ERA) initiative being conducted by the Australian Research Council (ARC), mandates a single journal and conference ranking scheme over every academic discipline in Australia. A universal publication outlet ranking list mandated by a government agency is unique and has attracted interest and comment both within Australia and overseas. Equally, the interest shown has come from all sectors involved in academic publishing – authors, reviewers, publishers – and from commercial and open access publishers. This paper investigates the distribution of information systems journals over the various ERA parameters and comments on a claim of bias whereby the ranking of a journal is positively influenced by the number of years it has been in existence in the areas of information systems and business journals. Clear evidence of the diversity of the information systems discipline is observed. The benefits of a multidisciplinary foundation for information systems is also noted. Longer established journals are shown to attract higher rankings and possible reasons for and implications flowing from this are discussed

    Not so ‘invisible’: A Qualitative Case Study Exploring Gender Relations and Farm Management Software

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    This qualitative case study explored farm management practices by women cotton growers who used computer-based information systems, most particularly the agricultural farm management software, CottonLOGIC, within the Australian cotton industry. This study found that, although gender differences and inequalities persist in rural parts of the region, the agency of women cotton growers ensures not only a sustainable future for themselves and their families, but also for the broader cotton industry as a whole. The use of farm management software by women cotton farmers was informed by Connell’s theoretical framework of gender relations (2002). The findings suggested that, women’s active participation in family farm partnerships and their acquisition of technological skills through the use of farm management software like CottonLOGIC, meant that all cotton growers benefit through the feminizing of specific farm management practices in family farm enterprises. This, therefore, has significant implications for developing the cotton industry into a truly sustainable entity

    Software appropriation over time: from adoption to stabilization and beyond

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    Technologies are introduced into an organization with the aim of improving productivity. However, persistent use of an information system is required to enhance productivity and user satisfaction. In this paper, we examine the process of technology appropriation and the factors that encourage and discourage use of an information system over time. In a longitudinal field study in an educational setting, we identify changing expectations and influences that encourage persistent use of a technology above and beyond adoption. Our work indicates that stabilization of a technology may only be a temporary plateau. Further appropriation may occur beyond initial stabilization as expectations and influences encourage persistent use of a technology. We have found that the driving forces in encouraging productive use of a technology are the ability for users to experience the technology as useful and to have easy access to ongoing training

    Just in time or Just in case: A Case study on the impact of context in ERP implementations

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    This paper looks at a case study of an Enterprise Resource Planning System (ERP) implementation in a geographically dispersed utility company and the approach by middle management to several problem situations involving contextual issues and end-user developed (feral) systems. The paper contends that despite the extremely effective databases and sophisticated modules for business analytic functions within most ERP’s, middle managers are still in the “just in case of an incident” mode of inventory management and data entered in their own feral systems may be significantly different to the inventory levels recorded in the main ERP. We contend that these problems point towards the failure of ERP systems to be context sensitive to organisations. It highlights problems in contemporary research which appears to lack understanding of different organisational contexts and how they could impact on ERP implementations. This paper argues that context and the ideals of ERP systems are often mismatched which leads to the development of feral systems, poor inventory practices and ERP systems implementation failure. The paper discusses the literature around ERP systems implementation and argues that context is an overlooked factor in the analysis of such systems. The paper uses case study evidence to demonstrate mismatched context and highlights the problems with assuming ERP systems are one size fits all. The paper concludes with a call to build more contextual research in the study of ERP implementations

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