14,914 research outputs found

    Evolution of Supply Chain Collaboration: Implications for the Role of Knowledge

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    Increasingly, research across many disciplines has recognized the shortcomings of the traditional “integration prescription” for inter-organizational knowledge management. This research conducts several simulation experiments to study the effects of different rates of product change, different demand environments, and different economies of scale on the level of integration between firms at different levels in the supply chain. The underlying paradigm shifts from a static, steady state view to a dynamic, complex adaptive systems and knowledge-based view of supply chain networks. Several research propositions are presented that use the role of knowledge in the supply chain to provide predictive power for how supply chain collaborations or integration should evolve. Suggestions and implications are suggested for managerial and research purposes

    Timing the Information System Upgrade

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    A system upgrade requires careful planning as its implications to organizational systems might beenormous. Although in IS literature the requirements and process of systems upgrade have been discussed,the timing when to upgrade and what factors guide it has been of lesser interest. Consequently,in this paper we focus on information systems upgrading and its timing from the perspectiveof the user organization. Upgrading is enabled by the availability of a new software version. When toupgrade, meanwhile, is determined by the business interests of the customer organization, businesscalendar, development projects, and the vendor. These factors were identified by interviewing 14 ITmanagers, mainly CIOs, from middle size to large organizations in Finland. They presented 16 differentcases of upgrading or modifications of enterprise systems or similar undertakings. The analysis ofthe cases and the identification of the upgrade timing factors not only increase our understanding ofthe phenomena in general, but also reveal the customer’s motives and interests regarding IS upgradingand its timing

    Intertemporal Pricing and Price Discrimination: A Semiparametric Hedonic Analysis of the Personal Computer Market

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    We apply a smooth coefficient semiparametric model to a unique high frequency data set to examine the intertemporal pricing of personal computers.  Furthermore, we test (a) whether firms charge differential component prices for their top performance personal computers and (b) whether premium firms charge both a premium for all their computers and a premium for their top performance ones.  We find nonlinear effects in the pricing of personal components.  We also find that firms in general do not charge differential prices for the components of their top performance computers.  In addition, high quality firms charge higher premia only for their most advanced products

    What is Your Software Worth?

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    This article presents a method for valuing software based on the income that use of that software is expected to generate in the future. Well-known principles of intellectual property (IP) valuation, sales expectations, discounting to present value, and the like, are applied, always focusing on the benefits and costs of software. A major issue, not dealt with in the literature of valuing intangibles, is that software is continually upgraded. Applying depreciation schedules is the simple solution, but does not represent at all the actual devaluation of the inherent IP of software. A realistic approach, allowing ongoing maintenance, is presented here. All steps of the process are presented and then integrated via a simple quantitative example. Having a quantitative model on a spreadsheet allows exploration of business alternatives. An example a service model is evaluated. Conclusions are drawn that reflect on academic and business practice.Valuation, intellectual property, software, software life, maintenance

    Evaluating cost taxonomies for information systems management

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    The consideration of costs, benefits and risks underpin many Information System (IS) evaluation decisions. Yet, vendors and project-champions alike tend to identify and focus much of their effort on the benefits achievable from the adoption of new technology, as it is often not in the interest of key stakeholders to spend too much time considering the wider cost and risk implications of enterprise-wide technology adoptions. In identifying a void in the literature, the authors of the paper present a critical analysis of IS-cost taxonomies. In doing so, the authors establish that such cost taxonomies tend to be esoteric and difficult to operationalize, as they lack specifics in detail. Therefore, in developing a deeper understanding of IS-related costs, the authors position the need to identify, control and reduce IS-related costs within the information systems evaluation domain, through culminating and then synthesizing the literature into a frame of reference that supports the evaluation of information systems through a deeper understanding of IS-cost taxonomies. The paper then concludes by emphasizing that the total costs associated with IS-adoption can only be determined after having considered the multi-faceted dimensions of information system investments
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