79,583 research outputs found

    An Empirical Study Of Software Quality Improvement Practices From Multiple Perspectives – An Australian Case Study

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    The literature on software quality research to date has shown a lack of empirical insight into the use of methods for achieving quality in a real context. Further investigation is required if we want to increase our understanding on how to improve software quality practices. In particular, we wanted to explore the key factors which impact software improvement practices in a case study, by studying the perspectives of three key stakeholders - developers, managers and customers. The selected exemplary case is a small Australian based software company with exceptional record in terms of organizational growth and performance. A qualitative approach was adopted to conduct this exploratory study. Results were analyzed using the Grounded Theory approach to develop an initial framework from the empirical data. We hope that this framework will provide a deeper understanding of the reasons and perceptions for the use of quality methods in practice, and thus have an impact on both researchers and practitioners

    The moderating influence of device characteristics and usage on user acceptance of smart mobile devices

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    This study seeks to develop a comprehensive model of consumer acceptance in the context of Smart Mobile Device (SMDs). This paper proposes an adaptation of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT2) model that can be employed to explain and predict the acceptance of SMDs. Also included in the model are a number of external and new moderating variables that can be used to explain user intentions and subsequent usage behaviour. The model holds that Activity-based Usage and Device Characteristics are posited to moderate the impact of the constructs empirically validated in the UTAUT2 model. Through an important cluster of antecedents the proposed model aims to enhance our understanding of consumer motivations for using SMDs and aid efforts to promote the adoption and diffusion of these devices

    IT service management: towards a contingency theory of performance measurement

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    Information Technology Service Management (ITSM) focuses on IT service creation, design, delivery and maintenance. Measurement is one of the basic underlying elements of service science and this paper contributes to service science by focussing on the selection of performance metrics for ITSM. Contingency theory is used to provide a theoretical foundation for the study. Content analysis of interviews of ITSM managers at six organisations revealed that selection of metrics is influenced by a discrete set of factors. Three categories of factors were identified: external environment, parent organisationand IS organisation. For individual cases, selection of metrics was contingent on factors such as organisation culture, management philosophy and perspectives, legislation, industry sector, and customers, although a common set of four factors influenced selection of metrics across all organisations. A strong link was identified between the use of a corporate performance framework and clearly articulated ITSM metrics

    Extending the IS-Impact model into the higher education sector

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    The study addresses known limitations of what may be the most important dependent variable in Information Systems (IS) research; IS-Success or IS-Impact. The study is expected to force a deeper understanding of the broad notions of IS success and impact. The aims of the research are to: (1) enhance the robustness and minimize limitations of the IS-Impact model, and (2) introduce and operationalise a more rigorously validated IS Impact measurement model to Universities, as a reliable model for evaluating different Administrative Systems. In extending and further generalizing the IS-Impact model, the study will address contemporary validation issues
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