6 research outputs found

    PANEL 1 COMPETING REFERENCE DISCIPLWES FOR MIS RESEARCH

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    On the Economies of Scale and Budget Allocations in Information Technology Services Provision

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    This study reexamines some fundamental questions in the network era of computing using the data after 1995 when firms have made significant investments in newer types of IT systems. Our findings suggest that firms realize some economies of scale in IT services as they grow in size. We also find that the personnel-hardware ratio is not independent of IT budget. Finally, we find that personnel-hardware ratio was declining during 1999-2003 period in response to changes in factor prices of hardware and personnel. We discuss implications of these results for academic research and for managerial practice

    TRACKING THE 'LIFE CYCLE TRAJECTORY': METRICS AND MEASURES FOR CONTROLLING PRODUCTIVITY OF COMPUTER AIDED SOFTWARE ENGINEERING (CASE) DEVELOPMENT

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    This paper proposes a new vision for the measurement and management of development productivity related to computer aided software engineering (CASE) technology. We propose that productivity be monitored and controlled in each phase of software development life cycle, a measurement approach we have termed life cycle trajectory measurement. Recent advances in CASE technology that make low cost automated measurement possible have made it feasible to collect life cycle trajectory measures. We suggest that current approaches for productivity management involve the use of static metrics that are available only at the beginning and end of the project. Yet the depth of the insights needed to make proactive adjustments in the software development process requires monitoring the range of activities across the entire software development life cycle. This can only be accomplished with metrics that can measure performance parameters in each phase of the life cycle. We develop metrics that have the ability to measure and estimate software outputs from each intermediate phase of the development life cycle. These metrics are based on a count of the objects and modules that are used as building blocks for application development in repository object-based CASE environments. The viability of such object-based metrics for life cycle trajectory measurement has been empirically tested for the software construction phase using project data generated in Integrated CASE development environments.Information Systems Working Papers Serie

    MANAGING DEVELOPMENT PRODUCTIVITY OF THE COMPUTER AIDED SOFTWARE ENGINEERING (CASE) PROCESS WITH DYNAMIC LIFE CYCLE TRAJECTORY METRICS

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    This paper proposes a new vision for the measurement and management of development productivity related to computer aided software engineering (CASE) technology. We propose that they be monitored and controlled via the application of dynamic software development "life cycle trajectory metrics." This view develops out of management accounting approaches for process control and recent advances in CASE technology that make automated measurement possible. We suggest that current approaches involve the use of "static metricsâ for estimation and evaluation, with the result that the depth of the insights they can provide to management is necessarily limited. They only provide "point estimatesâ of output or productivity at the beginning and end of the project. Yet to manage software development proactively for improved efficiency and effectiveness, management needs to track the range of activities and effort across the entire software development life cycle. This can only be accomplished when timely and relevant information is obtained about the software size output, as well as costs, via âdynamic metrics,â which provide a richer phase-by-phase view.Information Systems Working Papers Serie

    The U.S. software industry : an analysis and interpretative history

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    Abstract not availablebusiness administration and economics

    Firm-level performance and productivity analysis for software-as-a-service companies

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    Master'sMASTER OF SCIENC
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