146,796 research outputs found

    Determining Organization-specific Process Suitability

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    Abstract. Having software processes that fit technological, project, and business demands is one important prerequisite for software-developing organizations to operate successfully in a sustainable way. However, many such organizations suffer from processes that do not fit their demands, either because they do not provide the necessary support, or because they provide features that are no longer necessary. This leads to unnecessary costs during the development cycle, a phenomenon that worsens over time. This paper presents the SCOPE approach for systematically determining the process demands of current and future products and projects, for analyzing existing processes aimed at satisfying these demands, and for subsequently selecting those processes that provide the most benefit for the organization. The validation showed that SCOPE is capable of adjusting an organization's process scope in such a way that the most suitable processes are kept and the least suitable ones can be discarded

    An Analytic Approach to Selecting a Nonprofit

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    Charity giving continues to be an important aspect of the economic and social fabric of the United States. The number and total assets of nonprofits registered with the Internal Revenue Service (IRS) under the section 501(c)(3) of the tax code have grown significantly over the past decade. Given the significant share of donations in supporting the activities of nonprofits, it is important for donors to have a better understanding of their operations and governance. As the number of nonprofits with similar objectives increases, it becomes overly complicated for donors to make a choice that is consistent with their own purpose for giving. The goal of this paper is to develop an analytic framework for selecting a nonprofit from among competing alternatives. Specifically, we propose a process in which consultants or financial advisors help donors evaluate nonprofits using a set of financial and governance criteria to generate a ranked short list of alternatives for further evaluation. Donors differ in their criteria for evaluating the performance of nonprofits. The methodology we use allows donors to incorporate their preferences for specific criteria to the selection of a nonprofit in a consistent manner.http://deepblue.lib.umich.edu/bitstream/2027.42/64420/1/wp951.pd

    Recommendation domains for pond aquaculture

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    This publication introduces the methods and results of a research project that has developed a set of decision-support tools to identify places and sets of conditions for which a particular target aquaculture technology is considered feasible and therefore good to promote. The tools also identify the nature of constraints to aquaculture development and thereby shed light on appropriate interventions to realize the potential of the target areas. The project results will be useful for policy planners and decision makers in national, regional and local governments and development funding agencies, aquaculture extension workers in regional and local governments, and researchers in aquaculture systems and rural livelihoods. (Document contains 40 pages

    A framework for selecting workflow tools in the context of composite information systems

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    When an organization faces the need of integrating some workflow-related activities in its information system, it becomes necessary to have at hand some well-defined informational model to be used as a framework for determining the selection criteria onto which the requirements of the organization can be mapped. Some proposals exist that provide such a framework, remarkably the WfMC reference model, but they are designed to be appl icable when workflow tools are selected independently from other software, and departing from a set of well-known requirements. Often this is not the case: workflow facilities are needed as a part of the procurement of a larger, composite information syste m and therefore the general goals of the system have to be analyzed, assigned to its individual components and further detailed. We propose in this paper the MULTSEC method in charge of analyzing the initial goals of the system, determining the types of components that form the system architecture, building quality models for each type and then mapping the goals into detailed requirements which can be measured using quality criteria. We develop in some detail the quality model (compliant with the ISO/IEC 9126-1 quality standard) for the workflow type of tools; we show how the quality model can be used to refine and clarify the requirements in order to guarantee a highly reliable selection result; and we use it to evaluate two particular workflow solutions a- ailable in the market (kept anonymous in the paper). We develop our proposal using a particular selection experience we have recently been involved in, namely the procurement of a document management subsystem to be integrated in an academic data management information system for our university.Peer ReviewedPostprint (author's final draft

    AN ANALYTIC APPROACH TO SELECTING A NONPROFIT

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    Charity giving continues to be an important aspect of the economic and social fabric of the United States. The number and total assets of nonprofits registered with the Internal Revenue Service (IRS) under the section 501(c)(3) of the tax code have grown significantly over the past decade. Given the significant share of donations in supporting the activities of nonprofits, it is important for donors to have a better understanding of their operations and governance. As the number of nonprofits with similar objectives increases, it becomes overly complicated for donors to make a choice that is consistent with their own purpose for giving. The goal of this paper is to develop an analytic framework for selecting a nonprofit from among competing alternatives. Specifically, we propose a process in which consultants or financial advisors help donors evaluate nonprofits using a set of financial and governance criteria to generate a ranked short list of alternatives for further evaluation. Donors differ in their criteria for evaluating the performance of nonprofits. The methodology we use allows donors to incorporate their preferences for specific criteria to the selection of a nonprofit in a consistent manner.

    Recommendation domains for pond aquaculture

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    This publication introduces the methods and results of a research project that has developed a set of decision-support tools to identify places and sets of conditions for which a particular target aquaculture technology is considered feasible and therefore good to promote. The tools also identify the nature of constraints to aquaculture development and thereby shed light on appropriate interventions to realize the potential of the target areas. The project results will be useful for policy planners and decision makers in national, regional and local governments and development funding agencies, aquaculture extension workers in regional and local governments, and researchers in aquaculture systems and rural livelihoods.Pond culture, Freshwater aquaculture, GIS

    Using quality models in software package selection

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    The growing importance of commercial off-the-shelf software packages requires adapting some software engineering practices, such as requirements elicitation and testing, to this emergent framework. Also, some specific new activities arise, among which selection of software packages plays a prominent role. All the methodologies that have been proposed recently for choosing software packages compare user requirements with the packages' capabilities. There are different types of requirements, such as managerial, political, and, of course, quality requirements. Quality requirements are often difficult to check. This is partly due to their nature, but there is another reason that can be mitigated, namely the lack of structured and widespread descriptions of package domains (that is, categories of software packages such as ERP systems, graphical or data structure libraries, and so on). This absence hampers the accurate description of software packages and the precise statement of quality requirements, and consequently overall package selection and confidence in the result of the process. Our methodology for building structured quality models helps solve this drawback.Peer ReviewedPostprint (published version
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